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You searched for subject:( vegetation classification). Showing records 31 – 60 of 186 total matches.

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Michigan State University

31. Cleland, David Thomas. Multifactor classification of ecological land units in northeastern lower Michigan.

Degree: PhD, Department of Forestry, 1997, Michigan State University

Subjects/Keywords: Vegetation classification – Michigan; Soils – Michigan – Classification; Wetlands – Michigan – Classification; Ecology – Michigan – Classification

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APA (6th Edition):

Cleland, D. T. (1997). Multifactor classification of ecological land units in northeastern lower Michigan. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:25475

Chicago Manual of Style (16th Edition):

Cleland, David Thomas. “Multifactor classification of ecological land units in northeastern lower Michigan.” 1997. Doctoral Dissertation, Michigan State University. Accessed October 20, 2019. http://etd.lib.msu.edu/islandora/object/etd:25475.

MLA Handbook (7th Edition):

Cleland, David Thomas. “Multifactor classification of ecological land units in northeastern lower Michigan.” 1997. Web. 20 Oct 2019.

Vancouver:

Cleland DT. Multifactor classification of ecological land units in northeastern lower Michigan. [Internet] [Doctoral dissertation]. Michigan State University; 1997. [cited 2019 Oct 20]. Available from: http://etd.lib.msu.edu/islandora/object/etd:25475.

Council of Science Editors:

Cleland DT. Multifactor classification of ecological land units in northeastern lower Michigan. [Doctoral Dissertation]. Michigan State University; 1997. Available from: http://etd.lib.msu.edu/islandora/object/etd:25475


University of Pretoria

32. Mostert, T.H.C. (Theodorus Hendrik Cornelis). Vegetation ecology of the Soutpansberg and Blouberg area in the Limpopo Province.

Degree: Plant Science, 2010, University of Pretoria

 The fast growing local human population, especially through immigration from countries north of South Africa, is placing the Soutpansberg and Blouberg areas under increasing pressure.… (more)

Subjects/Keywords: Ecology; Afromontane forest; Centre of biological diversity; Phytosociology; Limpopo Province, South Africa; Syntaxonomy; Soutpansberg conservancy; Vegetation classification; Semi-arid event-driven ecosystems; Mistbelt vegetation; Blouberg nature reserve; Twinspan; UCTD

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APA (6th Edition):

Mostert, T. H. C. (. (2010). Vegetation ecology of the Soutpansberg and Blouberg area in the Limpopo Province. (Doctoral Dissertation). University of Pretoria. Retrieved from http://hdl.handle.net/2263/23251

Chicago Manual of Style (16th Edition):

Mostert, T H C (Theodorus. “Vegetation ecology of the Soutpansberg and Blouberg area in the Limpopo Province.” 2010. Doctoral Dissertation, University of Pretoria. Accessed October 20, 2019. http://hdl.handle.net/2263/23251.

MLA Handbook (7th Edition):

Mostert, T H C (Theodorus. “Vegetation ecology of the Soutpansberg and Blouberg area in the Limpopo Province.” 2010. Web. 20 Oct 2019.

Vancouver:

Mostert THC(. Vegetation ecology of the Soutpansberg and Blouberg area in the Limpopo Province. [Internet] [Doctoral dissertation]. University of Pretoria; 2010. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/2263/23251.

Council of Science Editors:

Mostert THC(. Vegetation ecology of the Soutpansberg and Blouberg area in the Limpopo Province. [Doctoral Dissertation]. University of Pretoria; 2010. Available from: http://hdl.handle.net/2263/23251


University of Pretoria

33. [No author]. Vegetation ecology of the Soutpansberg and Blouberg area in the Limpopo Province .

Degree: 2010, University of Pretoria

 The fast growing local human population, especially through immigration from countries north of South Africa, is placing the Soutpansberg and Blouberg areas under increasing pressure.… (more)

Subjects/Keywords: Ecology; Afromontane forest; Centre of biological diversity; Phytosociology; Limpopo Province, South Africa; Syntaxonomy; Soutpansberg conservancy; Vegetation classification; Semi-arid event-driven ecosystems; Mistbelt vegetation; Blouberg nature reserve; Twinspan; UCTD

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APA (6th Edition):

author], [. (2010). Vegetation ecology of the Soutpansberg and Blouberg area in the Limpopo Province . (Doctoral Dissertation). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-03162010-165221/

Chicago Manual of Style (16th Edition):

author], [No. “Vegetation ecology of the Soutpansberg and Blouberg area in the Limpopo Province .” 2010. Doctoral Dissertation, University of Pretoria. Accessed October 20, 2019. http://upetd.up.ac.za/thesis/available/etd-03162010-165221/.

MLA Handbook (7th Edition):

author], [No. “Vegetation ecology of the Soutpansberg and Blouberg area in the Limpopo Province .” 2010. Web. 20 Oct 2019.

Vancouver:

author] [. Vegetation ecology of the Soutpansberg and Blouberg area in the Limpopo Province . [Internet] [Doctoral dissertation]. University of Pretoria; 2010. [cited 2019 Oct 20]. Available from: http://upetd.up.ac.za/thesis/available/etd-03162010-165221/.

Council of Science Editors:

author] [. Vegetation ecology of the Soutpansberg and Blouberg area in the Limpopo Province . [Doctoral Dissertation]. University of Pretoria; 2010. Available from: http://upetd.up.ac.za/thesis/available/etd-03162010-165221/


AUT University

34. Zhang, ZhaoXuan. Native vegetation classification using remote sensing techniques: a case study of dairy flat regrowth bush by using the AUT Unmanned Aerial Vehicle .

Degree: AUT University

 Traditional field-based methods of habitat mapping to determine and classify vegetation on private land have been proven unsatisfying in terms of coverage, and time and… (more)

Subjects/Keywords: Remote sensing; UAV; Vegetation classification; Supervised classification; Object based classification; Pix4D

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APA (6th Edition):

Zhang, Z. (n.d.). Native vegetation classification using remote sensing techniques: a case study of dairy flat regrowth bush by using the AUT Unmanned Aerial Vehicle . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/8430

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, ZhaoXuan. “Native vegetation classification using remote sensing techniques: a case study of dairy flat regrowth bush by using the AUT Unmanned Aerial Vehicle .” Thesis, AUT University. Accessed October 20, 2019. http://hdl.handle.net/10292/8430.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, ZhaoXuan. “Native vegetation classification using remote sensing techniques: a case study of dairy flat regrowth bush by using the AUT Unmanned Aerial Vehicle .” Web. 20 Oct 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Zhang Z. Native vegetation classification using remote sensing techniques: a case study of dairy flat regrowth bush by using the AUT Unmanned Aerial Vehicle . [Internet] [Thesis]. AUT University; [cited 2019 Oct 20]. Available from: http://hdl.handle.net/10292/8430.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Zhang Z. Native vegetation classification using remote sensing techniques: a case study of dairy flat regrowth bush by using the AUT Unmanned Aerial Vehicle . [Thesis]. AUT University; Available from: http://hdl.handle.net/10292/8430

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.


Texas A&M University

35. Yantis, James Hugh. Vegetation classification and the efficacy of plant dominance-based classifications in predicting the occurrence of plant and animal species.

Degree: 2006, Texas A&M University

 One strategy for conserving biodiversity is to select large-area preserves that complement each other so the maximum number of species is conserved. Estimates of biodiversity… (more)

Subjects/Keywords: Vegetation; Classification; Conservation; Strategy; Plant; Animal; Dominance; GAP

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APA (6th Edition):

Yantis, J. H. (2006). Vegetation classification and the efficacy of plant dominance-based classifications in predicting the occurrence of plant and animal species. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/4165

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yantis, James Hugh. “Vegetation classification and the efficacy of plant dominance-based classifications in predicting the occurrence of plant and animal species.” 2006. Thesis, Texas A&M University. Accessed October 20, 2019. http://hdl.handle.net/1969.1/4165.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yantis, James Hugh. “Vegetation classification and the efficacy of plant dominance-based classifications in predicting the occurrence of plant and animal species.” 2006. Web. 20 Oct 2019.

Vancouver:

Yantis JH. Vegetation classification and the efficacy of plant dominance-based classifications in predicting the occurrence of plant and animal species. [Internet] [Thesis]. Texas A&M University; 2006. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/1969.1/4165.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yantis JH. Vegetation classification and the efficacy of plant dominance-based classifications in predicting the occurrence of plant and animal species. [Thesis]. Texas A&M University; 2006. Available from: http://hdl.handle.net/1969.1/4165

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Florida

36. Pande-Chhetri, Roshan B. Filtering High Resolution Hyperspectral Imagery and Analyzing it for Quantification of Water Quality Parameters and Aquatic Vegetation.

Degree: PhD, Forest Resources and Conservation, 2012, University of Florida

 High resolution hyperspectral imagery (airborne or ground-based) is gaining momentum as a useful analytical tool in various fields including agriculture and aquatic systems. These images… (more)

Subjects/Keywords: Image classification; Image filters; Images of transformations; Ponds; Reflectance; Remote sensing; Signals; Stripes; Supernova remnants; Vegetation; aquatic  – filtering  – hyperspectral  – imagery  – remotesensing

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APA (6th Edition):

Pande-Chhetri, R. B. (2012). Filtering High Resolution Hyperspectral Imagery and Analyzing it for Quantification of Water Quality Parameters and Aquatic Vegetation. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044922

Chicago Manual of Style (16th Edition):

Pande-Chhetri, Roshan B. “Filtering High Resolution Hyperspectral Imagery and Analyzing it for Quantification of Water Quality Parameters and Aquatic Vegetation.” 2012. Doctoral Dissertation, University of Florida. Accessed October 20, 2019. http://ufdc.ufl.edu/UFE0044922.

MLA Handbook (7th Edition):

Pande-Chhetri, Roshan B. “Filtering High Resolution Hyperspectral Imagery and Analyzing it for Quantification of Water Quality Parameters and Aquatic Vegetation.” 2012. Web. 20 Oct 2019.

Vancouver:

Pande-Chhetri RB. Filtering High Resolution Hyperspectral Imagery and Analyzing it for Quantification of Water Quality Parameters and Aquatic Vegetation. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Oct 20]. Available from: http://ufdc.ufl.edu/UFE0044922.

Council of Science Editors:

Pande-Chhetri RB. Filtering High Resolution Hyperspectral Imagery and Analyzing it for Quantification of Water Quality Parameters and Aquatic Vegetation. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044922


Montana Tech

37. McCune, Bruce P. Comparative ecology of structural groups : compositional patterns in the Swan Valley forests Montana.

Degree: MA, 1979, Montana Tech

Subjects/Keywords: Botany Montana Swan River Valley.; Plant ecology.; Vegetation classification.

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APA (6th Edition):

McCune, B. P. (1979). Comparative ecology of structural groups : compositional patterns in the Swan Valley forests Montana. (Masters Thesis). Montana Tech. Retrieved from https://scholarworks.umt.edu/etd/6167

Chicago Manual of Style (16th Edition):

McCune, Bruce P. “Comparative ecology of structural groups : compositional patterns in the Swan Valley forests Montana.” 1979. Masters Thesis, Montana Tech. Accessed October 20, 2019. https://scholarworks.umt.edu/etd/6167.

MLA Handbook (7th Edition):

McCune, Bruce P. “Comparative ecology of structural groups : compositional patterns in the Swan Valley forests Montana.” 1979. Web. 20 Oct 2019.

Vancouver:

McCune BP. Comparative ecology of structural groups : compositional patterns in the Swan Valley forests Montana. [Internet] [Masters thesis]. Montana Tech; 1979. [cited 2019 Oct 20]. Available from: https://scholarworks.umt.edu/etd/6167.

Council of Science Editors:

McCune BP. Comparative ecology of structural groups : compositional patterns in the Swan Valley forests Montana. [Masters Thesis]. Montana Tech; 1979. Available from: https://scholarworks.umt.edu/etd/6167


University of Georgia

38. Ucar, Zennure. Application of remote sensing, GIS, and GPS in precision forestry practices.

Degree: PhD, Forest Resources, 2017, University of Georgia

 This dissertation is composed of three studies that evaluated the use of precision technologies; remote sensing, geographic information systems (GIS), and global positioning systems (GPS)… (more)

Subjects/Keywords: Global positioning systems; geographic information systems; remote sensing; forestry; urban forests; urban vegetation; accuracy assessment; sampling; supervised classification

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APA (6th Edition):

Ucar, Z. (2017). Application of remote sensing, GIS, and GPS in precision forestry practices. (Doctoral Dissertation). University of Georgia. Retrieved from http://hdl.handle.net/10724/37560

Chicago Manual of Style (16th Edition):

Ucar, Zennure. “Application of remote sensing, GIS, and GPS in precision forestry practices.” 2017. Doctoral Dissertation, University of Georgia. Accessed October 20, 2019. http://hdl.handle.net/10724/37560.

MLA Handbook (7th Edition):

Ucar, Zennure. “Application of remote sensing, GIS, and GPS in precision forestry practices.” 2017. Web. 20 Oct 2019.

Vancouver:

Ucar Z. Application of remote sensing, GIS, and GPS in precision forestry practices. [Internet] [Doctoral dissertation]. University of Georgia; 2017. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/10724/37560.

Council of Science Editors:

Ucar Z. Application of remote sensing, GIS, and GPS in precision forestry practices. [Doctoral Dissertation]. University of Georgia; 2017. Available from: http://hdl.handle.net/10724/37560


University of South Africa

39. Nkosi, Sellina Ennie. A vegetation classification and management plan for the Nooitgedacht section of the Loskop Dam Nature Reserve.

Degree: 2014, University of South Africa

 The vegetation of the Nooitgedacht section of the Loskop Dam Nature Reserve resembles Bankenveld vegetation and differs from the other areas of the reserve. This… (more)

Subjects/Keywords: Braun-Blanquet; Ecological Index method; Step point method; Vegetation classification; JUICE; Plant communities; TWINSPAN; Loskop dam

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APA (6th Edition):

Nkosi, S. E. (2014). A vegetation classification and management plan for the Nooitgedacht section of the Loskop Dam Nature Reserve. (Masters Thesis). University of South Africa. Retrieved from http://hdl.handle.net/10500/18884

Chicago Manual of Style (16th Edition):

Nkosi, Sellina Ennie. “A vegetation classification and management plan for the Nooitgedacht section of the Loskop Dam Nature Reserve.” 2014. Masters Thesis, University of South Africa. Accessed October 20, 2019. http://hdl.handle.net/10500/18884.

MLA Handbook (7th Edition):

Nkosi, Sellina Ennie. “A vegetation classification and management plan for the Nooitgedacht section of the Loskop Dam Nature Reserve.” 2014. Web. 20 Oct 2019.

Vancouver:

Nkosi SE. A vegetation classification and management plan for the Nooitgedacht section of the Loskop Dam Nature Reserve. [Internet] [Masters thesis]. University of South Africa; 2014. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/10500/18884.

Council of Science Editors:

Nkosi SE. A vegetation classification and management plan for the Nooitgedacht section of the Loskop Dam Nature Reserve. [Masters Thesis]. University of South Africa; 2014. Available from: http://hdl.handle.net/10500/18884


University of South Africa

40. Bootsma, Antoinette Alexandra. Natural mechanisms of erosion prevention and stabilisation in a Marakele Peatland ; implications for conservation management.

Degree: 2016, University of South Africa

 The Matlabas mire, an actively peat accumulating wetland, is located in the headwaters of the Matlabas River, Marakele National Park, Limpopo Province, South Africa. Various… (more)

Subjects/Keywords: Mire; Ecohydrology; Marakele National Park; Matlabas River catchment; Wetland rehabilitation; Vegetation classification; Artesian peat domes; Desiccation of peat; Wetland management

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APA (6th Edition):

Bootsma, A. A. (2016). Natural mechanisms of erosion prevention and stabilisation in a Marakele Peatland ; implications for conservation management. (Masters Thesis). University of South Africa. Retrieved from http://hdl.handle.net/10500/23115

Chicago Manual of Style (16th Edition):

Bootsma, Antoinette Alexandra. “Natural mechanisms of erosion prevention and stabilisation in a Marakele Peatland ; implications for conservation management.” 2016. Masters Thesis, University of South Africa. Accessed October 20, 2019. http://hdl.handle.net/10500/23115.

MLA Handbook (7th Edition):

Bootsma, Antoinette Alexandra. “Natural mechanisms of erosion prevention and stabilisation in a Marakele Peatland ; implications for conservation management.” 2016. Web. 20 Oct 2019.

Vancouver:

Bootsma AA. Natural mechanisms of erosion prevention and stabilisation in a Marakele Peatland ; implications for conservation management. [Internet] [Masters thesis]. University of South Africa; 2016. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/10500/23115.

Council of Science Editors:

Bootsma AA. Natural mechanisms of erosion prevention and stabilisation in a Marakele Peatland ; implications for conservation management. [Masters Thesis]. University of South Africa; 2016. Available from: http://hdl.handle.net/10500/23115


University of Colorado

41. Scholl, Victoria. Assessing the Integration and Pre-Processing of Neon Airborne Remote Sensing and In-Situ Data for Optimal Tree Species Classification.

Degree: MA, 2019, University of Colorado

 Accurately mapping tree species composition is a critical step towards understanding post-disturbance forest recovery. The National Ecological Observatory Network (NEON) is a valuable source of… (more)

Subjects/Keywords: classification; disturbance recovery; machine learning; open science; remote sensing; tree species composition; LiDAR; vegetation; Remote Sensing; Terrestrial and Aquatic Ecology

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APA (6th Edition):

Scholl, V. (2019). Assessing the Integration and Pre-Processing of Neon Airborne Remote Sensing and In-Situ Data for Optimal Tree Species Classification. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/geog_gradetds/152

Chicago Manual of Style (16th Edition):

Scholl, Victoria. “Assessing the Integration and Pre-Processing of Neon Airborne Remote Sensing and In-Situ Data for Optimal Tree Species Classification.” 2019. Masters Thesis, University of Colorado. Accessed October 20, 2019. https://scholar.colorado.edu/geog_gradetds/152.

MLA Handbook (7th Edition):

Scholl, Victoria. “Assessing the Integration and Pre-Processing of Neon Airborne Remote Sensing and In-Situ Data for Optimal Tree Species Classification.” 2019. Web. 20 Oct 2019.

Vancouver:

Scholl V. Assessing the Integration and Pre-Processing of Neon Airborne Remote Sensing and In-Situ Data for Optimal Tree Species Classification. [Internet] [Masters thesis]. University of Colorado; 2019. [cited 2019 Oct 20]. Available from: https://scholar.colorado.edu/geog_gradetds/152.

Council of Science Editors:

Scholl V. Assessing the Integration and Pre-Processing of Neon Airborne Remote Sensing and In-Situ Data for Optimal Tree Species Classification. [Masters Thesis]. University of Colorado; 2019. Available from: https://scholar.colorado.edu/geog_gradetds/152


University of Pretoria

42. Strohbach, Marianne Margarethe. Vegetation description and mapping along a strip transect in central Namibia with the aid of satellite imagery.

Degree: MSc, Plant Science, 2007, University of Pretoria

Please read the abstract in the section 00front of this document Advisors/Committee Members: Prof G J Bredenkamp (advisor).

Subjects/Keywords: Vegetation surveys namibia; Vegetation mapping namibia; Vegetation classification namibia; Satellite image maps namibia; UCTD

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APA (6th Edition):

Strohbach, M. (2007). Vegetation description and mapping along a strip transect in central Namibia with the aid of satellite imagery. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/26946

Chicago Manual of Style (16th Edition):

Strohbach, Marianne. “Vegetation description and mapping along a strip transect in central Namibia with the aid of satellite imagery.” 2007. Masters Thesis, University of Pretoria. Accessed October 20, 2019. http://hdl.handle.net/2263/26946.

MLA Handbook (7th Edition):

Strohbach, Marianne. “Vegetation description and mapping along a strip transect in central Namibia with the aid of satellite imagery.” 2007. Web. 20 Oct 2019.

Vancouver:

Strohbach M. Vegetation description and mapping along a strip transect in central Namibia with the aid of satellite imagery. [Internet] [Masters thesis]. University of Pretoria; 2007. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/2263/26946.

Council of Science Editors:

Strohbach M. Vegetation description and mapping along a strip transect in central Namibia with the aid of satellite imagery. [Masters Thesis]. University of Pretoria; 2007. Available from: http://hdl.handle.net/2263/26946


University of Pretoria

43. [No author]. Vegetation description and mapping along a strip transect in central Namibia with the aid of satellite imagery .

Degree: 2007, University of Pretoria

Please read the abstract in the section 00front of this document Advisors/Committee Members: Prof G J Bredenkamp (advisor).

Subjects/Keywords: Vegetation surveys namibia; Vegetation mapping namibia; Vegetation classification namibia; Satellite image maps namibia; UCTD

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

author], [. (2007). Vegetation description and mapping along a strip transect in central Namibia with the aid of satellite imagery . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-08022007-155523/

Chicago Manual of Style (16th Edition):

author], [No. “Vegetation description and mapping along a strip transect in central Namibia with the aid of satellite imagery .” 2007. Masters Thesis, University of Pretoria. Accessed October 20, 2019. http://upetd.up.ac.za/thesis/available/etd-08022007-155523/.

MLA Handbook (7th Edition):

author], [No. “Vegetation description and mapping along a strip transect in central Namibia with the aid of satellite imagery .” 2007. Web. 20 Oct 2019.

Vancouver:

author] [. Vegetation description and mapping along a strip transect in central Namibia with the aid of satellite imagery . [Internet] [Masters thesis]. University of Pretoria; 2007. [cited 2019 Oct 20]. Available from: http://upetd.up.ac.za/thesis/available/etd-08022007-155523/.

Council of Science Editors:

author] [. Vegetation description and mapping along a strip transect in central Namibia with the aid of satellite imagery . [Masters Thesis]. University of Pretoria; 2007. Available from: http://upetd.up.ac.za/thesis/available/etd-08022007-155523/


University of North Carolina – Greensboro

44. Chaudhuri, Debasish. Hybrid Image Classification Technique for Land-Cover Mapping in the Arctic Tundra, North Slope, Alaska.

Degree: 2008, University of North Carolina – Greensboro

 Remotely sensed image classification techniques are very useful to understand vegetation patterns and species combination in the vast and mostly inaccessible arctic region. Previous researches… (more)

Subjects/Keywords: Vegetation mapping – Arctic regions.; Vegetation mapping – Remote sensing.; Neural networks (Computer science); Pattern recognition systems.; Vegetation surveys.; Vegetation classification.; Ecological mapping – Remote sensing.

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APA (6th Edition):

Chaudhuri, D. (2008). Hybrid Image Classification Technique for Land-Cover Mapping in the Arctic Tundra, North Slope, Alaska. (Doctoral Dissertation). University of North Carolina – Greensboro. Retrieved from http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=393

Chicago Manual of Style (16th Edition):

Chaudhuri, Debasish. “Hybrid Image Classification Technique for Land-Cover Mapping in the Arctic Tundra, North Slope, Alaska.” 2008. Doctoral Dissertation, University of North Carolina – Greensboro. Accessed October 20, 2019. http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=393.

MLA Handbook (7th Edition):

Chaudhuri, Debasish. “Hybrid Image Classification Technique for Land-Cover Mapping in the Arctic Tundra, North Slope, Alaska.” 2008. Web. 20 Oct 2019.

Vancouver:

Chaudhuri D. Hybrid Image Classification Technique for Land-Cover Mapping in the Arctic Tundra, North Slope, Alaska. [Internet] [Doctoral dissertation]. University of North Carolina – Greensboro; 2008. [cited 2019 Oct 20]. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=393.

Council of Science Editors:

Chaudhuri D. Hybrid Image Classification Technique for Land-Cover Mapping in the Arctic Tundra, North Slope, Alaska. [Doctoral Dissertation]. University of North Carolina – Greensboro; 2008. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=393

45. Retsilidou, Olga. Διερεύνηση τεχνικών τηλεπισκόπησης και ανάπτυξη μεθοδολογίας για την ακριβή εκτίμηση της καύσιμης ύλης με βάση τη βλάστηση χρησιμοποιώντας δύο εποχικές δορυφορικές εικόνες υψηλής ανάλυσης: εφαρμογή σε δεδομένα μεγάλης έκτασης.

Degree: 2017, University of the Aegean; Πανεπιστήμιο Αιγαίου

In the present PhD thesis, high resolution spatial satellite imagery was used to map vegetation in order to assign fuel characteristics to each vegetation class.… (more)

Subjects/Keywords: Ταξινόμηση; Βλάστηση; Δορυφορική τηλεπισκόπηση; Υψηλή χωρική ανάλυση; Χαρτογράφηση καύσιμης ύλης; Κανονικοποιημένος δείκτης βλάστησης; Κατάτμηση; Ασαφής ταξινόμηση; Classification; Vegetation; High spatial resolution; Fuel mapping; RapidEye; NDVI; Segmentation; Fuzzy or ‘soft’ classification

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APA (6th Edition):

Retsilidou, O. (2017). Διερεύνηση τεχνικών τηλεπισκόπησης και ανάπτυξη μεθοδολογίας για την ακριβή εκτίμηση της καύσιμης ύλης με βάση τη βλάστηση χρησιμοποιώντας δύο εποχικές δορυφορικές εικόνες υψηλής ανάλυσης: εφαρμογή σε δεδομένα μεγάλης έκτασης. (Thesis). University of the Aegean; Πανεπιστήμιο Αιγαίου. Retrieved from http://hdl.handle.net/10442/hedi/41190

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Retsilidou, Olga. “Διερεύνηση τεχνικών τηλεπισκόπησης και ανάπτυξη μεθοδολογίας για την ακριβή εκτίμηση της καύσιμης ύλης με βάση τη βλάστηση χρησιμοποιώντας δύο εποχικές δορυφορικές εικόνες υψηλής ανάλυσης: εφαρμογή σε δεδομένα μεγάλης έκτασης.” 2017. Thesis, University of the Aegean; Πανεπιστήμιο Αιγαίου. Accessed October 20, 2019. http://hdl.handle.net/10442/hedi/41190.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Retsilidou, Olga. “Διερεύνηση τεχνικών τηλεπισκόπησης και ανάπτυξη μεθοδολογίας για την ακριβή εκτίμηση της καύσιμης ύλης με βάση τη βλάστηση χρησιμοποιώντας δύο εποχικές δορυφορικές εικόνες υψηλής ανάλυσης: εφαρμογή σε δεδομένα μεγάλης έκτασης.” 2017. Web. 20 Oct 2019.

Vancouver:

Retsilidou O. Διερεύνηση τεχνικών τηλεπισκόπησης και ανάπτυξη μεθοδολογίας για την ακριβή εκτίμηση της καύσιμης ύλης με βάση τη βλάστηση χρησιμοποιώντας δύο εποχικές δορυφορικές εικόνες υψηλής ανάλυσης: εφαρμογή σε δεδομένα μεγάλης έκτασης. [Internet] [Thesis]. University of the Aegean; Πανεπιστήμιο Αιγαίου; 2017. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/10442/hedi/41190.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Retsilidou O. Διερεύνηση τεχνικών τηλεπισκόπησης και ανάπτυξη μεθοδολογίας για την ακριβή εκτίμηση της καύσιμης ύλης με βάση τη βλάστηση χρησιμοποιώντας δύο εποχικές δορυφορικές εικόνες υψηλής ανάλυσης: εφαρμογή σε δεδομένα μεγάλης έκτασης. [Thesis]. University of the Aegean; Πανεπιστήμιο Αιγαίου; 2017. Available from: http://hdl.handle.net/10442/hedi/41190

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade Nova

46. Soloviov, Oleksii. Geospatial assessment of pest-induced forest damage through the use of UAV-bases NIR imaging and Gi-technology.

Degree: 2014, Universidade Nova

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Every year oak forests become infected by… (more)

Subjects/Keywords: Color-infrared Images (CIR); Near-infrared Images (NIR); Object-based Classification; Pest Infestation; Pixel-based Classification; Principal Component; Unmanned Aerial Vehicle; Vegetation Indices; Very High Resolution Images

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APA (6th Edition):

Soloviov, O. (2014). Geospatial assessment of pest-induced forest damage through the use of UAV-bases NIR imaging and Gi-technology. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11545

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Soloviov, Oleksii. “Geospatial assessment of pest-induced forest damage through the use of UAV-bases NIR imaging and Gi-technology.” 2014. Thesis, Universidade Nova. Accessed October 20, 2019. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11545.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Soloviov, Oleksii. “Geospatial assessment of pest-induced forest damage through the use of UAV-bases NIR imaging and Gi-technology.” 2014. Web. 20 Oct 2019.

Vancouver:

Soloviov O. Geospatial assessment of pest-induced forest damage through the use of UAV-bases NIR imaging and Gi-technology. [Internet] [Thesis]. Universidade Nova; 2014. [cited 2019 Oct 20]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11545.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Soloviov O. Geospatial assessment of pest-induced forest damage through the use of UAV-bases NIR imaging and Gi-technology. [Thesis]. Universidade Nova; 2014. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11545

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

47. Horvat, Denis. Algoritem za klasifikacijo točk vegetacije iz posnetkov LiDAR.

Degree: 2017, Univerza v Mariboru

V doktorski disertaciji predstavimo nov algoritem za klasifikacijo vegetacije v podatkih LiDAR. Klasifikacijski postopek povzamemo z dvema korakoma: analiza porazdelitve točk ter analiza njihovega konteksta.… (more)

Subjects/Keywords: algoritem; daljinsko zaznavanje; LiDAR; matematična morfologija; prileganje površij; klasifikacija vegetacije; algorithm; remote sensing; LiDAR; mathematical morphology; surface fitting; vegetation classification; info:eu-repo/classification/udc/004.652.6:5514.04(043.3)

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APA (6th Edition):

Horvat, D. (2017). Algoritem za klasifikacijo točk vegetacije iz posnetkov LiDAR. (Doctoral Dissertation). Univerza v Mariboru. Retrieved from https://dk.um.si/IzpisGradiva.php?id=65091 ; https://dk.um.si/Dokument.php?id=110343&dn= ; https://plus.si.cobiss.net/opac7/bib/20461590?lang=sl

Chicago Manual of Style (16th Edition):

Horvat, Denis. “Algoritem za klasifikacijo točk vegetacije iz posnetkov LiDAR.” 2017. Doctoral Dissertation, Univerza v Mariboru. Accessed October 20, 2019. https://dk.um.si/IzpisGradiva.php?id=65091 ; https://dk.um.si/Dokument.php?id=110343&dn= ; https://plus.si.cobiss.net/opac7/bib/20461590?lang=sl.

MLA Handbook (7th Edition):

Horvat, Denis. “Algoritem za klasifikacijo točk vegetacije iz posnetkov LiDAR.” 2017. Web. 20 Oct 2019.

Vancouver:

Horvat D. Algoritem za klasifikacijo točk vegetacije iz posnetkov LiDAR. [Internet] [Doctoral dissertation]. Univerza v Mariboru; 2017. [cited 2019 Oct 20]. Available from: https://dk.um.si/IzpisGradiva.php?id=65091 ; https://dk.um.si/Dokument.php?id=110343&dn= ; https://plus.si.cobiss.net/opac7/bib/20461590?lang=sl.

Council of Science Editors:

Horvat D. Algoritem za klasifikacijo točk vegetacije iz posnetkov LiDAR. [Doctoral Dissertation]. Univerza v Mariboru; 2017. Available from: https://dk.um.si/IzpisGradiva.php?id=65091 ; https://dk.um.si/Dokument.php?id=110343&dn= ; https://plus.si.cobiss.net/opac7/bib/20461590?lang=sl


University of Pretoria

48. Straub, Andrea Frances. The vegetation of Breslau Game Farm, Northern Province, South Africa.

Degree: MSc, Plant Science, 2002, University of Pretoria

Please read the abstract (Summary)in the section 08summary of this document Advisors/Committee Members: Bredenkamp, George J. (advisor).

Subjects/Keywords: Vegetation improvement Northern Province RSA; Wildlife habitat improvement Northern Province RSA; Arid regional plants classification; Vegetation classification Northern Province RSA; UCTD

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APA (6th Edition):

Straub, A. (2002). The vegetation of Breslau Game Farm, Northern Province, South Africa. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/28596

Chicago Manual of Style (16th Edition):

Straub, Andrea. “The vegetation of Breslau Game Farm, Northern Province, South Africa.” 2002. Masters Thesis, University of Pretoria. Accessed October 20, 2019. http://hdl.handle.net/2263/28596.

MLA Handbook (7th Edition):

Straub, Andrea. “The vegetation of Breslau Game Farm, Northern Province, South Africa.” 2002. Web. 20 Oct 2019.

Vancouver:

Straub A. The vegetation of Breslau Game Farm, Northern Province, South Africa. [Internet] [Masters thesis]. University of Pretoria; 2002. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/2263/28596.

Council of Science Editors:

Straub A. The vegetation of Breslau Game Farm, Northern Province, South Africa. [Masters Thesis]. University of Pretoria; 2002. Available from: http://hdl.handle.net/2263/28596


University of Pretoria

49. [No author]. The vegetation of Breslau Game Farm, Northern Province, South Africa .

Degree: 2002, University of Pretoria

Please read the abstract (Summary)in the section 08summary of this document Advisors/Committee Members: Bredenkamp, George J (advisor).

Subjects/Keywords: Vegetation improvement Northern Province RSA; Wildlife habitat improvement Northern Province RSA; Arid regional plants classification; Vegetation classification Northern Province RSA; UCTD

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APA (6th Edition):

author], [. (2002). The vegetation of Breslau Game Farm, Northern Province, South Africa . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-10102007-154857/

Chicago Manual of Style (16th Edition):

author], [No. “The vegetation of Breslau Game Farm, Northern Province, South Africa .” 2002. Masters Thesis, University of Pretoria. Accessed October 20, 2019. http://upetd.up.ac.za/thesis/available/etd-10102007-154857/.

MLA Handbook (7th Edition):

author], [No. “The vegetation of Breslau Game Farm, Northern Province, South Africa .” 2002. Web. 20 Oct 2019.

Vancouver:

author] [. The vegetation of Breslau Game Farm, Northern Province, South Africa . [Internet] [Masters thesis]. University of Pretoria; 2002. [cited 2019 Oct 20]. Available from: http://upetd.up.ac.za/thesis/available/etd-10102007-154857/.

Council of Science Editors:

author] [. The vegetation of Breslau Game Farm, Northern Province, South Africa . [Masters Thesis]. University of Pretoria; 2002. Available from: http://upetd.up.ac.za/thesis/available/etd-10102007-154857/


Stellenbosch University

50. Kidane, Dawit K. Rule-based land cover classification model : expert system integration of image and non-image spatial data.

Degree: MSc, Geography and Environmental Studies, 2005, Stellenbosch University

ENGLISH ABSTRACT: Remote sensing and image processing tools provide speedy and up-to-date information on land resources. Although remote sensing is the most effective means of… (more)

Subjects/Keywords: Vegetation classification  – Data processing; Land use  – Classification  – Data processing; Vegetation mapping  – Data processing; Remote sensing; Expert systems (Computer science)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kidane, D. K. (2005). Rule-based land cover classification model : expert system integration of image and non-image spatial data. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/50445

Chicago Manual of Style (16th Edition):

Kidane, Dawit K. “Rule-based land cover classification model : expert system integration of image and non-image spatial data.” 2005. Masters Thesis, Stellenbosch University. Accessed October 20, 2019. http://hdl.handle.net/10019.1/50445.

MLA Handbook (7th Edition):

Kidane, Dawit K. “Rule-based land cover classification model : expert system integration of image and non-image spatial data.” 2005. Web. 20 Oct 2019.

Vancouver:

Kidane DK. Rule-based land cover classification model : expert system integration of image and non-image spatial data. [Internet] [Masters thesis]. Stellenbosch University; 2005. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/10019.1/50445.

Council of Science Editors:

Kidane DK. Rule-based land cover classification model : expert system integration of image and non-image spatial data. [Masters Thesis]. Stellenbosch University; 2005. Available from: http://hdl.handle.net/10019.1/50445


ETH Zürich

51. Pfister, Johann Josef. Gruenlandgesellschaften, Pflanzenstandort und futterbauliche Nutzungsvarianten im montan-subalpinen Bereich: ein Beitrag zum MAB-Projekt Grindelwald.

Degree: 1984, ETH Zürich

Subjects/Keywords: GRÜNLAND (PFLANZENÖKOLOGIE); GRÜNLAND (PFLANZENGESELLSCHAFTEN); GRINDELWALD (KANTON BERN); GRASLAND + GRÜNLAND (FUTTERBAU); SUBALPINE VEGETATION + MONTANE VEGETATION + KOLLINE VEGETATION (PFLANZENGESELLSCHAFTEN); SUBALPINE VEGETATION + MONTANE VEGETATION + KOLLINE VEGETATION (PFLANZENÖKOLOGIE); PASTURES + MEADOWS (PLANT ECOLOGY); PASTURES + MEADOWS (PLANT SOCIETIES); GRINDELWALD (CANTON OF BERNE); GRASSLANDS (FORAGE CROPPING); SUBALPINE VEGETATION + MONTANE VEGETATION + COLLINE VEGETATION (PLANT SOCIETIES); SUBALPINE VEGETATION + MONTANE VEGETATION + COLLINE VEGETATION (PLANT ECOLOGY); info:eu-repo/classification/ddc/580; info:eu-repo/classification/ddc/630; Botanical sciences; Agriculture

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APA (6th Edition):

Pfister, J. J. (1984). Gruenlandgesellschaften, Pflanzenstandort und futterbauliche Nutzungsvarianten im montan-subalpinen Bereich: ein Beitrag zum MAB-Projekt Grindelwald. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/144160

Chicago Manual of Style (16th Edition):

Pfister, Johann Josef. “Gruenlandgesellschaften, Pflanzenstandort und futterbauliche Nutzungsvarianten im montan-subalpinen Bereich: ein Beitrag zum MAB-Projekt Grindelwald.” 1984. Doctoral Dissertation, ETH Zürich. Accessed October 20, 2019. http://hdl.handle.net/20.500.11850/144160.

MLA Handbook (7th Edition):

Pfister, Johann Josef. “Gruenlandgesellschaften, Pflanzenstandort und futterbauliche Nutzungsvarianten im montan-subalpinen Bereich: ein Beitrag zum MAB-Projekt Grindelwald.” 1984. Web. 20 Oct 2019.

Vancouver:

Pfister JJ. Gruenlandgesellschaften, Pflanzenstandort und futterbauliche Nutzungsvarianten im montan-subalpinen Bereich: ein Beitrag zum MAB-Projekt Grindelwald. [Internet] [Doctoral dissertation]. ETH Zürich; 1984. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/20.500.11850/144160.

Council of Science Editors:

Pfister JJ. Gruenlandgesellschaften, Pflanzenstandort und futterbauliche Nutzungsvarianten im montan-subalpinen Bereich: ein Beitrag zum MAB-Projekt Grindelwald. [Doctoral Dissertation]. ETH Zürich; 1984. Available from: http://hdl.handle.net/20.500.11850/144160


Universidade Nova

52. Penedos, Pedro Pais. Precision Agriculture Using Unmanned Aerial Systems: Mapping Vigor’s Spatial Variability On Low Density Agricultures Using a Canopy Pixel Classification And Interpolation Model.

Degree: 2018, Universidade Nova

 It is becoming more present in agriculture’s practices the use of Unmanned Aerial Systems with sensors capable of capturing light, in the visible and in… (more)

Subjects/Keywords: Geographical Information Systems; Geospatial Data Mining; Geostatistics; Green Normalized Difference Vegetation Index; Image Classification; ISO Cluster Analysis; Kriging Interpolation; Multispectral Sensors; Normalized Difference Red Edge Index; Normalized Difference Vegetation Index; Precision Agriculture; Remote Sensing; RGB Imagery; Spatial Autocorrelation; Spatial Variability; Unmanned Aerial Systems; Variable Rate Technology; Vegetation Vigor

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APA (6th Edition):

Penedos, P. P. (2018). Precision Agriculture Using Unmanned Aerial Systems: Mapping Vigor’s Spatial Variability On Low Density Agricultures Using a Canopy Pixel Classification And Interpolation Model. (Thesis). Universidade Nova. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/33277

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Penedos, Pedro Pais. “Precision Agriculture Using Unmanned Aerial Systems: Mapping Vigor’s Spatial Variability On Low Density Agricultures Using a Canopy Pixel Classification And Interpolation Model.” 2018. Thesis, Universidade Nova. Accessed October 20, 2019. https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/33277.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Penedos, Pedro Pais. “Precision Agriculture Using Unmanned Aerial Systems: Mapping Vigor’s Spatial Variability On Low Density Agricultures Using a Canopy Pixel Classification And Interpolation Model.” 2018. Web. 20 Oct 2019.

Vancouver:

Penedos PP. Precision Agriculture Using Unmanned Aerial Systems: Mapping Vigor’s Spatial Variability On Low Density Agricultures Using a Canopy Pixel Classification And Interpolation Model. [Internet] [Thesis]. Universidade Nova; 2018. [cited 2019 Oct 20]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/33277.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Penedos PP. Precision Agriculture Using Unmanned Aerial Systems: Mapping Vigor’s Spatial Variability On Low Density Agricultures Using a Canopy Pixel Classification And Interpolation Model. [Thesis]. Universidade Nova; 2018. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/33277

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Florida

53. Carr, Susan C. Floristic and Environmental Variation of Pyrogenic Pinelands in the Southeastern Coastal Plain Description, Classification, and Restoration.

Degree: PhD, Wildlife Ecology and Conservation, 2007, University of Florida

 Until recent times, the landscape of north and central Florida was dominated by fire-dependent pineland savanna vegetation with sparse canopies of longleaf pine (Pinus palustris).… (more)

Subjects/Keywords: Ecology; Highlands; Indicator species; Lowlands; Ordinations; Peninsulas; Pine barrens; Soils; Species; Vegetation; classification, florida, grasslands, longleaf, pinelands, restoration, vegetation

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APA (6th Edition):

Carr, S. C. (2007). Floristic and Environmental Variation of Pyrogenic Pinelands in the Southeastern Coastal Plain Description, Classification, and Restoration. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0021711

Chicago Manual of Style (16th Edition):

Carr, Susan C. “Floristic and Environmental Variation of Pyrogenic Pinelands in the Southeastern Coastal Plain Description, Classification, and Restoration.” 2007. Doctoral Dissertation, University of Florida. Accessed October 20, 2019. http://ufdc.ufl.edu/UFE0021711.

MLA Handbook (7th Edition):

Carr, Susan C. “Floristic and Environmental Variation of Pyrogenic Pinelands in the Southeastern Coastal Plain Description, Classification, and Restoration.” 2007. Web. 20 Oct 2019.

Vancouver:

Carr SC. Floristic and Environmental Variation of Pyrogenic Pinelands in the Southeastern Coastal Plain Description, Classification, and Restoration. [Internet] [Doctoral dissertation]. University of Florida; 2007. [cited 2019 Oct 20]. Available from: http://ufdc.ufl.edu/UFE0021711.

Council of Science Editors:

Carr SC. Floristic and Environmental Variation of Pyrogenic Pinelands in the Southeastern Coastal Plain Description, Classification, and Restoration. [Doctoral Dissertation]. University of Florida; 2007. Available from: http://ufdc.ufl.edu/UFE0021711

54. Daniels, Mark Leo. A floristic study of a former land bridge in The Bahama Archipelago.

Degree: MSin Botany, Biological Sciences, 2016, Miami University

 A floristic study of plant communities was conducted on the islands of Eleuthera, Little San Salvador, and Cat Island. The objectives of this analysis were… (more)

Subjects/Keywords: Botany; Conservation; Biology; Bahama Archipelago; floristics; Caribbean biogeography; tropical dry forest; Caribbean vegetation types; vegetation classification

…Caribbean Vegetation Classification and Atlas Project (Aceres-Mallea et al. 1999). The… …vegetation communities. The ICEC classification system is adopted from the U.S. National Vegetation… …x28;1964), in describing The Vegetation of North America, describe the West Indian Province… …Keys and into the Bahamas and Greater Antilles. The vegetation of The West Indian Province is… …2015). 3 Description and classification of plant communities is central to… 

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APA (6th Edition):

Daniels, M. L. (2016). A floristic study of a former land bridge in The Bahama Archipelago. (Masters Thesis). Miami University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=miami1470149291

Chicago Manual of Style (16th Edition):

Daniels, Mark Leo. “A floristic study of a former land bridge in The Bahama Archipelago.” 2016. Masters Thesis, Miami University. Accessed October 20, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=miami1470149291.

MLA Handbook (7th Edition):

Daniels, Mark Leo. “A floristic study of a former land bridge in The Bahama Archipelago.” 2016. Web. 20 Oct 2019.

Vancouver:

Daniels ML. A floristic study of a former land bridge in The Bahama Archipelago. [Internet] [Masters thesis]. Miami University; 2016. [cited 2019 Oct 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1470149291.

Council of Science Editors:

Daniels ML. A floristic study of a former land bridge in The Bahama Archipelago. [Masters Thesis]. Miami University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1470149291


Florida Atlantic University

55. Barone, Dorianne M. A comparison of pixel based and object based vegetation community classification in the Arthur R. Marshall Loxahatchee National Wildlife Refuge.

Degree: MS, 2008, Florida Atlantic University

Summary: Pixel based and object based vegetation community classification methods were performed using 30 meter spatial resolution Landsat satellite imagery of the Arthur R. Marshall… (more)

Subjects/Keywords: Ecosystem management – Florida; Vegetation dynamics – Florida; Vegetation classification – Florida; Spatial ecology – Mathematical models; Arthur R. Marshall Loxahatchee National Wildlife Refuge (Fla.)

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APA (6th Edition):

Barone, D. M. (2008). A comparison of pixel based and object based vegetation community classification in the Arthur R. Marshall Loxahatchee National Wildlife Refuge. (Masters Thesis). Florida Atlantic University. Retrieved from http://purl.flvc.org/FAU/58002

Chicago Manual of Style (16th Edition):

Barone, Dorianne M. “A comparison of pixel based and object based vegetation community classification in the Arthur R. Marshall Loxahatchee National Wildlife Refuge.” 2008. Masters Thesis, Florida Atlantic University. Accessed October 20, 2019. http://purl.flvc.org/FAU/58002.

MLA Handbook (7th Edition):

Barone, Dorianne M. “A comparison of pixel based and object based vegetation community classification in the Arthur R. Marshall Loxahatchee National Wildlife Refuge.” 2008. Web. 20 Oct 2019.

Vancouver:

Barone DM. A comparison of pixel based and object based vegetation community classification in the Arthur R. Marshall Loxahatchee National Wildlife Refuge. [Internet] [Masters thesis]. Florida Atlantic University; 2008. [cited 2019 Oct 20]. Available from: http://purl.flvc.org/FAU/58002.

Council of Science Editors:

Barone DM. A comparison of pixel based and object based vegetation community classification in the Arthur R. Marshall Loxahatchee National Wildlife Refuge. [Masters Thesis]. Florida Atlantic University; 2008. Available from: http://purl.flvc.org/FAU/58002

56. Vaiphasa, C. Remote sensing techniques for mangrove mapping.

Degree: 2006, NARCIS

 Mangroves, important components of the world's coastal ecosystems, are threatened by the expansion of human settlements, the boom in commercial aquaculture, the impact of tidal… (more)

Subjects/Keywords: mangroves; mangrovebossen; vegetatie; remote sensing; karteren; classificatie; Vegetatieonderzoek; mangroves; mangrove forests; vegetation; remote sensing; surveying; classification; Vegetation Research

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vaiphasa, C. (2006). Remote sensing techniques for mangrove mapping. (Doctoral Dissertation). NARCIS. Retrieved from http://library.wur.nl/WebQuery/wurpubs/348658 ; urn:nbn:nl:ui:32-348658 ; urn:nbn:nl:ui:32-348658 ; http://library.wur.nl/WebQuery/wurpubs/348658

Chicago Manual of Style (16th Edition):

Vaiphasa, C. “Remote sensing techniques for mangrove mapping.” 2006. Doctoral Dissertation, NARCIS. Accessed October 20, 2019. http://library.wur.nl/WebQuery/wurpubs/348658 ; urn:nbn:nl:ui:32-348658 ; urn:nbn:nl:ui:32-348658 ; http://library.wur.nl/WebQuery/wurpubs/348658.

MLA Handbook (7th Edition):

Vaiphasa, C. “Remote sensing techniques for mangrove mapping.” 2006. Web. 20 Oct 2019.

Vancouver:

Vaiphasa C. Remote sensing techniques for mangrove mapping. [Internet] [Doctoral dissertation]. NARCIS; 2006. [cited 2019 Oct 20]. Available from: http://library.wur.nl/WebQuery/wurpubs/348658 ; urn:nbn:nl:ui:32-348658 ; urn:nbn:nl:ui:32-348658 ; http://library.wur.nl/WebQuery/wurpubs/348658.

Council of Science Editors:

Vaiphasa C. Remote sensing techniques for mangrove mapping. [Doctoral Dissertation]. NARCIS; 2006. Available from: http://library.wur.nl/WebQuery/wurpubs/348658 ; urn:nbn:nl:ui:32-348658 ; urn:nbn:nl:ui:32-348658 ; http://library.wur.nl/WebQuery/wurpubs/348658


University of Pretoria

57. Schwirzer, Anna-Maria. Geomorphic attributes of palustrine wetlands in the upper Boesmans river catchment, KwaZulu-Natal.

Degree: MA, Geography, Geoinformatics and Meteorology, 2008, University of Pretoria

 Wetlands within South Africa are an important source of water and nutrients necessary for biological productivity and often the survival of the local people. In… (more)

Subjects/Keywords: KwaZulu-Natal Drakensberg; Giants castle game reserve; Water purification wetland vegetation; Low flow; Palustrine wetlands; Geomorphic attributes; Wetland classification; Sediment traps; Water storage; UCTD

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Schwirzer, Anna-Maria. (2008). Geomorphic attributes of palustrine wetlands in the upper Boesmans river catchment, KwaZulu-Natal. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/24569

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Schwirzer, Anna-Maria. “Geomorphic attributes of palustrine wetlands in the upper Boesmans river catchment, KwaZulu-Natal.” 2008. Masters Thesis, University of Pretoria. Accessed October 20, 2019. http://hdl.handle.net/2263/24569.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Schwirzer, Anna-Maria. “Geomorphic attributes of palustrine wetlands in the upper Boesmans river catchment, KwaZulu-Natal.” 2008. Web. 20 Oct 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Schwirzer, Anna-Maria. Geomorphic attributes of palustrine wetlands in the upper Boesmans river catchment, KwaZulu-Natal. [Internet] [Masters thesis]. University of Pretoria; 2008. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/2263/24569.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Schwirzer, Anna-Maria. Geomorphic attributes of palustrine wetlands in the upper Boesmans river catchment, KwaZulu-Natal. [Masters Thesis]. University of Pretoria; 2008. Available from: http://hdl.handle.net/2263/24569

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

58. Santos, Rolando O. Linkage Between Mangrove Fish Community and Nearshore Benthic Habitats in Biscayne Bay, Florida, USA: A Seascape Approach.

Degree: 2010, Nova Southeastern University

 The role of mangroves as essential fish habitat has been a focus of extensive research. However, recent evidence has shown that this role should not… (more)

Subjects/Keywords: landscape ecology; landscape metrics; submerged aquatic vegetation; habitat connectivity; multi-scale seascape approach; object-based classification; fish diversity; Marine Biology; Oceanography and Atmospheric Sciences and Meteorology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Santos, R. O. (2010). Linkage Between Mangrove Fish Community and Nearshore Benthic Habitats in Biscayne Bay, Florida, USA: A Seascape Approach. (Thesis). Nova Southeastern University. Retrieved from http://nsuworks.nova.edu/occ_stuetd/214

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Santos, Rolando O. “Linkage Between Mangrove Fish Community and Nearshore Benthic Habitats in Biscayne Bay, Florida, USA: A Seascape Approach.” 2010. Thesis, Nova Southeastern University. Accessed October 20, 2019. http://nsuworks.nova.edu/occ_stuetd/214.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Santos, Rolando O. “Linkage Between Mangrove Fish Community and Nearshore Benthic Habitats in Biscayne Bay, Florida, USA: A Seascape Approach.” 2010. Web. 20 Oct 2019.

Vancouver:

Santos RO. Linkage Between Mangrove Fish Community and Nearshore Benthic Habitats in Biscayne Bay, Florida, USA: A Seascape Approach. [Internet] [Thesis]. Nova Southeastern University; 2010. [cited 2019 Oct 20]. Available from: http://nsuworks.nova.edu/occ_stuetd/214.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Santos RO. Linkage Between Mangrove Fish Community and Nearshore Benthic Habitats in Biscayne Bay, Florida, USA: A Seascape Approach. [Thesis]. Nova Southeastern University; 2010. Available from: http://nsuworks.nova.edu/occ_stuetd/214

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade do Estado do Rio de Janeiro

59. Rafael Feijó de Lima. Uso de imagens de satélite de alta resolução (GeoEye-1) para estimativa de acúmulo de carbono em alagados de Mata Atlântica em recuperação na Reserva Ecológica Guapiaçu (Cachoeiras de Macacu, Rio de Janeiro).

Degree: Master, 2012, Universidade do Estado do Rio de Janeiro

Áreas alagadas são importantes devido à grande biodiversidade que sustentam e aos serviços ambientais gerados pela sua conservação. Essas áreas, quando dominadas por macrófitas, tendem… (more)

Subjects/Keywords: ECOLOGIA DE ECOSSISTEMAS; Wetlands; Recuperação de Ecossistemas; Macrófitas; Classificação não Supervisionada; Mapeamento de vegetação; Imagens de Satélite; Alagados; High resolution satellite imagery; Vegetation mapping; Unupervised Classification; Macrophytes; Ecosystem Recovery

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lima, R. F. d. (2012). Uso de imagens de satélite de alta resolução (GeoEye-1) para estimativa de acúmulo de carbono em alagados de Mata Atlântica em recuperação na Reserva Ecológica Guapiaçu (Cachoeiras de Macacu, Rio de Janeiro). (Masters Thesis). Universidade do Estado do Rio de Janeiro. Retrieved from http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=6078 ;

Chicago Manual of Style (16th Edition):

Lima, Rafael Feijó de. “Uso de imagens de satélite de alta resolução (GeoEye-1) para estimativa de acúmulo de carbono em alagados de Mata Atlântica em recuperação na Reserva Ecológica Guapiaçu (Cachoeiras de Macacu, Rio de Janeiro).” 2012. Masters Thesis, Universidade do Estado do Rio de Janeiro. Accessed October 20, 2019. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=6078 ;.

MLA Handbook (7th Edition):

Lima, Rafael Feijó de. “Uso de imagens de satélite de alta resolução (GeoEye-1) para estimativa de acúmulo de carbono em alagados de Mata Atlântica em recuperação na Reserva Ecológica Guapiaçu (Cachoeiras de Macacu, Rio de Janeiro).” 2012. Web. 20 Oct 2019.

Vancouver:

Lima RFd. Uso de imagens de satélite de alta resolução (GeoEye-1) para estimativa de acúmulo de carbono em alagados de Mata Atlântica em recuperação na Reserva Ecológica Guapiaçu (Cachoeiras de Macacu, Rio de Janeiro). [Internet] [Masters thesis]. Universidade do Estado do Rio de Janeiro; 2012. [cited 2019 Oct 20]. Available from: http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=6078 ;.

Council of Science Editors:

Lima RFd. Uso de imagens de satélite de alta resolução (GeoEye-1) para estimativa de acúmulo de carbono em alagados de Mata Atlântica em recuperação na Reserva Ecológica Guapiaçu (Cachoeiras de Macacu, Rio de Janeiro). [Masters Thesis]. Universidade do Estado do Rio de Janeiro; 2012. Available from: http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=6078 ;


University of Pretoria

60. [No author]. Geomorphic attributes of palustrine wetlands in the upper Boesmans river catchment, KwaZulu-Natal .

Degree: 2008, University of Pretoria

 Wetlands within South Africa are an important source of water and nutrients necessary for biological productivity and often the survival of the local people. In… (more)

Subjects/Keywords: KwaZulu-Natal Drakensberg; Giants castle game reserve; Water purification wetland vegetation; Low flow; Palustrine wetlands; Geomorphic attributes; Wetland classification; Sediment traps; Water storage; UCTD

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

author], [. (2008). Geomorphic attributes of palustrine wetlands in the upper Boesmans river catchment, KwaZulu-Natal . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-01232008-114045/

Chicago Manual of Style (16th Edition):

author], [No. “Geomorphic attributes of palustrine wetlands in the upper Boesmans river catchment, KwaZulu-Natal .” 2008. Masters Thesis, University of Pretoria. Accessed October 20, 2019. http://upetd.up.ac.za/thesis/available/etd-01232008-114045/.

MLA Handbook (7th Edition):

author], [No. “Geomorphic attributes of palustrine wetlands in the upper Boesmans river catchment, KwaZulu-Natal .” 2008. Web. 20 Oct 2019.

Vancouver:

author] [. Geomorphic attributes of palustrine wetlands in the upper Boesmans river catchment, KwaZulu-Natal . [Internet] [Masters thesis]. University of Pretoria; 2008. [cited 2019 Oct 20]. Available from: http://upetd.up.ac.za/thesis/available/etd-01232008-114045/.

Council of Science Editors:

author] [. Geomorphic attributes of palustrine wetlands in the upper Boesmans river catchment, KwaZulu-Natal . [Masters Thesis]. University of Pretoria; 2008. Available from: http://upetd.up.ac.za/thesis/available/etd-01232008-114045/

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