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You searched for subject:(IKONOS). Showing records 1 – 13 of 13 total matches.

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University of Edinburgh

1. Michelakis, Dimitrios. Using high resolution IKONOS imagery and feature-based classifiers to automate a classification of savanna woodlands.

Degree: 2008, University of Edinburgh

 High resolution remote sensing imagery offers one possible means to discriminate the constituent land cover components within savanna woodlands, with differing economic potential and ability… (more)

Subjects/Keywords: Feature-based; Classification; IKONOS; Savanna Woodlands; Belize

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APA (6th Edition):

Michelakis, D. (2008). Using high resolution IKONOS imagery and feature-based classifiers to automate a classification of savanna woodlands. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/2460

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):

Michelakis, Dimitrios. “Using high resolution IKONOS imagery and feature-based classifiers to automate a classification of savanna woodlands.” 2008. Thesis, University of Edinburgh. Accessed December 08, 2019. http://hdl.handle.net/1842/2460.

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

MLA Handbook (7th Edition):

Michelakis, Dimitrios. “Using high resolution IKONOS imagery and feature-based classifiers to automate a classification of savanna woodlands.” 2008. Web. 08 Dec 2019.

Vancouver:

Michelakis D. Using high resolution IKONOS imagery and feature-based classifiers to automate a classification of savanna woodlands. [Internet] [Thesis]. University of Edinburgh; 2008. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1842/2460.

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

Council of Science Editors:

Michelakis D. Using high resolution IKONOS imagery and feature-based classifiers to automate a classification of savanna woodlands. [Thesis]. University of Edinburgh; 2008. Available from: http://hdl.handle.net/1842/2460

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


University of Edinburgh

2. Jaas, Tom. Comparing semi-automated classification and visual interpretation methods of IKONOS imagery in the context of developing countries - A case study of Belizean Savannas.

Degree: 2007, University of Edinburgh

 Sustainable natural resources management requires that the geographical distribution and temporal evolution of resources be carefully analysed, and that decisions are proposed and made based… (more)

Subjects/Keywords: IKONOS; visual interpretation; Belize; land cover classification; GPS

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APA (6th Edition):

Jaas, T. (2007). Comparing semi-automated classification and visual interpretation methods of IKONOS imagery in the context of developing countries - A case study of Belizean Savannas. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/1872

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):

Jaas, Tom. “Comparing semi-automated classification and visual interpretation methods of IKONOS imagery in the context of developing countries - A case study of Belizean Savannas.” 2007. Thesis, University of Edinburgh. Accessed December 08, 2019. http://hdl.handle.net/1842/1872.

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

MLA Handbook (7th Edition):

Jaas, Tom. “Comparing semi-automated classification and visual interpretation methods of IKONOS imagery in the context of developing countries - A case study of Belizean Savannas.” 2007. Web. 08 Dec 2019.

Vancouver:

Jaas T. Comparing semi-automated classification and visual interpretation methods of IKONOS imagery in the context of developing countries - A case study of Belizean Savannas. [Internet] [Thesis]. University of Edinburgh; 2007. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1842/1872.

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

Council of Science Editors:

Jaas T. Comparing semi-automated classification and visual interpretation methods of IKONOS imagery in the context of developing countries - A case study of Belizean Savannas. [Thesis]. University of Edinburgh; 2007. Available from: http://hdl.handle.net/1842/1872

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

3. SOWMYA SELVARAJAN. Extraction of man-made features from high resolution satellite imagery.

Degree: 2004, National University of Singapore

Subjects/Keywords: remote sensing; image processing; wavelets; IKONOS

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APA (6th Edition):

SELVARAJAN, S. (2004). Extraction of man-made features from high resolution satellite imagery. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/13713

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):

SELVARAJAN, SOWMYA. “Extraction of man-made features from high resolution satellite imagery.” 2004. Thesis, National University of Singapore. Accessed December 08, 2019. http://scholarbank.nus.edu.sg/handle/10635/13713.

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

MLA Handbook (7th Edition):

SELVARAJAN, SOWMYA. “Extraction of man-made features from high resolution satellite imagery.” 2004. Web. 08 Dec 2019.

Vancouver:

SELVARAJAN S. Extraction of man-made features from high resolution satellite imagery. [Internet] [Thesis]. National University of Singapore; 2004. [cited 2019 Dec 08]. Available from: http://scholarbank.nus.edu.sg/handle/10635/13713.

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

Council of Science Editors:

SELVARAJAN S. Extraction of man-made features from high resolution satellite imagery. [Thesis]. National University of Singapore; 2004. Available from: http://scholarbank.nus.edu.sg/handle/10635/13713

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


University of Toronto

4. Shakeel, Tooba. Homeowners as Urban Forest Managers - Examining the Role of Property-level Variables in Predicting Variations in Urban Forest Quantity Using Advanced Remote Sensing and GIS Methodologies.

Degree: 2012, University of Toronto

Urban forests provide vital services to communities and are crucial for our mental, physical and emotional well-being. Recent research has shown that many variables at… (more)

Subjects/Keywords: Urban Forest; GIS; Remote Sensing; IKONOS; Residents; Survey; 0368; 0799; 0758; 0366

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APA (6th Edition):

Shakeel, T. (2012). Homeowners as Urban Forest Managers - Examining the Role of Property-level Variables in Predicting Variations in Urban Forest Quantity Using Advanced Remote Sensing and GIS Methodologies. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/33525

Chicago Manual of Style (16th Edition):

Shakeel, Tooba. “Homeowners as Urban Forest Managers - Examining the Role of Property-level Variables in Predicting Variations in Urban Forest Quantity Using Advanced Remote Sensing and GIS Methodologies.” 2012. Masters Thesis, University of Toronto. Accessed December 08, 2019. http://hdl.handle.net/1807/33525.

MLA Handbook (7th Edition):

Shakeel, Tooba. “Homeowners as Urban Forest Managers - Examining the Role of Property-level Variables in Predicting Variations in Urban Forest Quantity Using Advanced Remote Sensing and GIS Methodologies.” 2012. Web. 08 Dec 2019.

Vancouver:

Shakeel T. Homeowners as Urban Forest Managers - Examining the Role of Property-level Variables in Predicting Variations in Urban Forest Quantity Using Advanced Remote Sensing and GIS Methodologies. [Internet] [Masters thesis]. University of Toronto; 2012. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1807/33525.

Council of Science Editors:

Shakeel T. Homeowners as Urban Forest Managers - Examining the Role of Property-level Variables in Predicting Variations in Urban Forest Quantity Using Advanced Remote Sensing and GIS Methodologies. [Masters Thesis]. University of Toronto; 2012. Available from: http://hdl.handle.net/1807/33525


Queens University

5. Atkinson, David M. Modelling Biophysical Variables and Carbon Dioxide Exchange in Arctic Tundra Landscapes using High Spatial Resolution Remote Sensing Data .

Degree: Geography, 2013, Queens University

 Vegetation community patterns and processes are indicators and integrators of climate. Recently, scientists have shown that climate change is most pronounced in circumpolar regions. Arctic… (more)

Subjects/Keywords: IKONOS; Arctic; Cape Bounty; Boothia; Remote Sensing; Nunavut; Biomass; Tundra Vegetation; Carbon Flux

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APA (6th Edition):

Atkinson, D. M. (2013). Modelling Biophysical Variables and Carbon Dioxide Exchange in Arctic Tundra Landscapes using High Spatial Resolution Remote Sensing Data . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/7709

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):

Atkinson, David M. “Modelling Biophysical Variables and Carbon Dioxide Exchange in Arctic Tundra Landscapes using High Spatial Resolution Remote Sensing Data .” 2013. Thesis, Queens University. Accessed December 08, 2019. http://hdl.handle.net/1974/7709.

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

MLA Handbook (7th Edition):

Atkinson, David M. “Modelling Biophysical Variables and Carbon Dioxide Exchange in Arctic Tundra Landscapes using High Spatial Resolution Remote Sensing Data .” 2013. Web. 08 Dec 2019.

Vancouver:

Atkinson DM. Modelling Biophysical Variables and Carbon Dioxide Exchange in Arctic Tundra Landscapes using High Spatial Resolution Remote Sensing Data . [Internet] [Thesis]. Queens University; 2013. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1974/7709.

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

Council of Science Editors:

Atkinson DM. Modelling Biophysical Variables and Carbon Dioxide Exchange in Arctic Tundra Landscapes using High Spatial Resolution Remote Sensing Data . [Thesis]. Queens University; 2013. Available from: http://hdl.handle.net/1974/7709

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


Queens University

6. Gregory, Fiona Marianne. Biophysical Remote Sensing and Terrestrial CO2 Exchange at Cape Bounty, Melville Island .

Degree: Geography, 2012, Queens University

 Cape Bounty, Melville Island is a partially vegetated High Arctic landscape with three main plant communities: polar semi-desert (47% of the study area), mesic tundra… (more)

Subjects/Keywords: IKONOS; Net Ecosystem Exchange; Polar Desert; Tundra; Arctic; Sedge Meadow; NDVI; Remote Sensing; CO2

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APA (6th Edition):

Gregory, F. M. (2012). Biophysical Remote Sensing and Terrestrial CO2 Exchange at Cape Bounty, Melville Island . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/6953

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):

Gregory, Fiona Marianne. “Biophysical Remote Sensing and Terrestrial CO2 Exchange at Cape Bounty, Melville Island .” 2012. Thesis, Queens University. Accessed December 08, 2019. http://hdl.handle.net/1974/6953.

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

MLA Handbook (7th Edition):

Gregory, Fiona Marianne. “Biophysical Remote Sensing and Terrestrial CO2 Exchange at Cape Bounty, Melville Island .” 2012. Web. 08 Dec 2019.

Vancouver:

Gregory FM. Biophysical Remote Sensing and Terrestrial CO2 Exchange at Cape Bounty, Melville Island . [Internet] [Thesis]. Queens University; 2012. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1974/6953.

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

Council of Science Editors:

Gregory FM. Biophysical Remote Sensing and Terrestrial CO2 Exchange at Cape Bounty, Melville Island . [Thesis]. Queens University; 2012. Available from: http://hdl.handle.net/1974/6953

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


Youngstown State University

7. Alam, Mohammad Tanveer. Image Classification for Remote Sensing Using Data-Mining Techniques.

Degree: MSin Mathematics, Department of Mathematics and Statistics, 2011, Youngstown State University

  Remote Sensing engages electromagnetic sensors to measure and monitor changes in the earth's surface and atmosphere. Remote Sensing Satellites are currently the fastest growing… (more)

Subjects/Keywords: Computer Science; Geographic Information Science; Remote Sensing; Image Classification; Remote Sensing; Datamining; unsupervised classification; supervised classification; LANDSAT; IKONOS

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APA (6th Edition):

Alam, M. T. (2011). Image Classification for Remote Sensing Using Data-Mining Techniques. (Masters Thesis). Youngstown State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ysu1313003161

Chicago Manual of Style (16th Edition):

Alam, Mohammad Tanveer. “Image Classification for Remote Sensing Using Data-Mining Techniques.” 2011. Masters Thesis, Youngstown State University. Accessed December 08, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1313003161.

MLA Handbook (7th Edition):

Alam, Mohammad Tanveer. “Image Classification for Remote Sensing Using Data-Mining Techniques.” 2011. Web. 08 Dec 2019.

Vancouver:

Alam MT. Image Classification for Remote Sensing Using Data-Mining Techniques. [Internet] [Masters thesis]. Youngstown State University; 2011. [cited 2019 Dec 08]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ysu1313003161.

Council of Science Editors:

Alam MT. Image Classification for Remote Sensing Using Data-Mining Techniques. [Masters Thesis]. Youngstown State University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ysu1313003161


University of Florida

8. Hong,Jin-Seok. Modeling of Soil Properties in the Santa Fe River Watershed Using Exhaustive Spatial Environmental Data.

Degree: PhD, Civil Engineering - Civil and Coastal Engineering, 2011, University of Florida

 Phosphorus (P) enrichment in surface waters has been documented in the Santa Fe River Watershed (SFRW), north-central Florida over the past decades. Yet the environmental… (more)

Subjects/Keywords: Datasets; Land use; Landsat; Modeling; Phosphorus; Rivers; Soil properties; Soils; Spatial models; Watersheds; cokriging  – geostatistics  – ikonos  – kriging  – landsat  – lidar  – phosphorus

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APA (6th Edition):

Hong,Jin-Seok. (2011). Modeling of Soil Properties in the Santa Fe River Watershed Using Exhaustive Spatial Environmental Data. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0025022

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

Chicago Manual of Style (16th Edition):

Hong,Jin-Seok. “Modeling of Soil Properties in the Santa Fe River Watershed Using Exhaustive Spatial Environmental Data.” 2011. Doctoral Dissertation, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0025022.

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

MLA Handbook (7th Edition):

Hong,Jin-Seok. “Modeling of Soil Properties in the Santa Fe River Watershed Using Exhaustive Spatial Environmental Data.” 2011. Web. 08 Dec 2019.

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

Vancouver:

Hong,Jin-Seok. Modeling of Soil Properties in the Santa Fe River Watershed Using Exhaustive Spatial Environmental Data. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0025022.

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

Council of Science Editors:

Hong,Jin-Seok. Modeling of Soil Properties in the Santa Fe River Watershed Using Exhaustive Spatial Environmental Data. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0025022

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


University of New South Wales

9. Richards, Eric Wesley. The use of high resolution satellite data (IKONOS) in the establishment and maintenance of an urban geographical information system.

Degree: Surveying & Spatial Information Systems, 2009, University of New South Wales

 The past years has seen the advent of the availability of high resolution commercial satellite imagery. This study shows that whilst high resolution commercial satellite… (more)

Subjects/Keywords: commerical; imagery; satellite; high; resolution; ikonos; GIS; spatial

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APA (6th Edition):

Richards, E. W. (2009). The use of high resolution satellite data (IKONOS) in the establishment and maintenance of an urban geographical information system. (Masters Thesis). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/43730 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:5327/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Richards, Eric Wesley. “The use of high resolution satellite data (IKONOS) in the establishment and maintenance of an urban geographical information system.” 2009. Masters Thesis, University of New South Wales. Accessed December 08, 2019. http://handle.unsw.edu.au/1959.4/43730 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:5327/SOURCE02?view=true.

MLA Handbook (7th Edition):

Richards, Eric Wesley. “The use of high resolution satellite data (IKONOS) in the establishment and maintenance of an urban geographical information system.” 2009. Web. 08 Dec 2019.

Vancouver:

Richards EW. The use of high resolution satellite data (IKONOS) in the establishment and maintenance of an urban geographical information system. [Internet] [Masters thesis]. University of New South Wales; 2009. [cited 2019 Dec 08]. Available from: http://handle.unsw.edu.au/1959.4/43730 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:5327/SOURCE02?view=true.

Council of Science Editors:

Richards EW. The use of high resolution satellite data (IKONOS) in the establishment and maintenance of an urban geographical information system. [Masters Thesis]. University of New South Wales; 2009. Available from: http://handle.unsw.edu.au/1959.4/43730 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:5327/SOURCE02?view=true


University of North Texas

10. Ramesh, Sathya. High Resolution Satellite Images and LiDAR Data for Small-Area Building Extraction and Population Estimation.

Degree: 2009, University of North Texas

 Population estimation in inter-censual years has many important applications. In this research, high-resolution pan-sharpened IKONOS image, LiDAR data, and parcel data are used to estimate… (more)

Subjects/Keywords: IKONOS; Building extraction; object based classification; population estimation; LiDAR; Denton (Tex.)  – Population  – Mathematical models.; Optical radar  – Texas  – Denton.; Population forecasting  – Texas  – Denton.; Cities and towns  – Simulation methods.

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APA (6th Edition):

Ramesh, S. (2009). High Resolution Satellite Images and LiDAR Data for Small-Area Building Extraction and Population Estimation. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc12188/

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):

Ramesh, Sathya. “High Resolution Satellite Images and LiDAR Data for Small-Area Building Extraction and Population Estimation.” 2009. Thesis, University of North Texas. Accessed December 08, 2019. https://digital.library.unt.edu/ark:/67531/metadc12188/.

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

MLA Handbook (7th Edition):

Ramesh, Sathya. “High Resolution Satellite Images and LiDAR Data for Small-Area Building Extraction and Population Estimation.” 2009. Web. 08 Dec 2019.

Vancouver:

Ramesh S. High Resolution Satellite Images and LiDAR Data for Small-Area Building Extraction and Population Estimation. [Internet] [Thesis]. University of North Texas; 2009. [cited 2019 Dec 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc12188/.

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

Council of Science Editors:

Ramesh S. High Resolution Satellite Images and LiDAR Data for Small-Area Building Extraction and Population Estimation. [Thesis]. University of North Texas; 2009. Available from: https://digital.library.unt.edu/ark:/67531/metadc12188/

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


University of Manitoba

11. Pelcat, Yann S. Soil landscape characterization of crop stubble covered fields using Ikonos high resolution panchromatic images.

Degree: Soil Science, 2006, University of Manitoba

 Soil landscape characterization into landform elements for precision agriculture has become an important issue. As soil properties and crop yields change over the landscape, delineating… (more)

Subjects/Keywords: landform elements; IKONOS imagery; Remote sensing and soils; landmapR software; soil landscape; DEM; morphometrics; topography; precision agriculture; precision farming; management zones; topography mapping; GPS / GIS; Image analysis

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

APA (6th Edition):

Pelcat, Y. S. (2006). Soil landscape characterization of crop stubble covered fields using Ikonos high resolution panchromatic images. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/224

Chicago Manual of Style (16th Edition):

Pelcat, Yann S. “Soil landscape characterization of crop stubble covered fields using Ikonos high resolution panchromatic images.” 2006. Masters Thesis, University of Manitoba. Accessed December 08, 2019. http://hdl.handle.net/1993/224.

MLA Handbook (7th Edition):

Pelcat, Yann S. “Soil landscape characterization of crop stubble covered fields using Ikonos high resolution panchromatic images.” 2006. Web. 08 Dec 2019.

Vancouver:

Pelcat YS. Soil landscape characterization of crop stubble covered fields using Ikonos high resolution panchromatic images. [Internet] [Masters thesis]. University of Manitoba; 2006. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1993/224.

Council of Science Editors:

Pelcat YS. Soil landscape characterization of crop stubble covered fields using Ikonos high resolution panchromatic images. [Masters Thesis]. University of Manitoba; 2006. Available from: http://hdl.handle.net/1993/224

12. Singh, Budhendra Oudesh. The Effects of Grain Size on Morphological Patterns and Land Cover Within Boreal Wildfire Residual Patches.

Degree: MSc -MS, Geography, 2015, York University

 The post-fire conditions comprise a matrix of burned, partially burned, and unburned patches that are ecologically and financially important. Studying the unburned patches helps planners… (more)

Subjects/Keywords: Geography; Geographic information science; Remote sensing; Geography; GIS; remote sensing; fire; wildfire; disturbance; landscape ecology; spatial; pattern; emulation; emulation of natural disturbances; boreal; forest; Ontario; Canada; residual patch; MSPA; morphological spatial pattern analysis; morphological element; composition; configuration; spatial resolution; grain size; connectivity; edge width; transition; land cover classification; mosaic; fire footprint; spatial aggregation; RED-084; Ikonos; binary map; ATCOR-2

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APA (6th Edition):

Singh, B. O. (2015). The Effects of Grain Size on Morphological Patterns and Land Cover Within Boreal Wildfire Residual Patches. (Masters Thesis). York University. Retrieved from http://hdl.handle.net/10315/30702

Chicago Manual of Style (16th Edition):

Singh, Budhendra Oudesh. “The Effects of Grain Size on Morphological Patterns and Land Cover Within Boreal Wildfire Residual Patches.” 2015. Masters Thesis, York University. Accessed December 08, 2019. http://hdl.handle.net/10315/30702.

MLA Handbook (7th Edition):

Singh, Budhendra Oudesh. “The Effects of Grain Size on Morphological Patterns and Land Cover Within Boreal Wildfire Residual Patches.” 2015. Web. 08 Dec 2019.

Vancouver:

Singh BO. The Effects of Grain Size on Morphological Patterns and Land Cover Within Boreal Wildfire Residual Patches. [Internet] [Masters thesis]. York University; 2015. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/10315/30702.

Council of Science Editors:

Singh BO. The Effects of Grain Size on Morphological Patterns and Land Cover Within Boreal Wildfire Residual Patches. [Masters Thesis]. York University; 2015. Available from: http://hdl.handle.net/10315/30702


Queens University

13. Freemantle, Valerie. A high spatial resolution satellite remote sensing time series analysis of Cape Bounty, Melville Island, Nunavut (2004-2018) .

Degree: Geography and Planning, Queens University

 Vegetation changes (i.e., areas of ‘greening’ and ‘browning’) have been observed in areas of the circumpolar Arctic due to changing Arctic climate. However, these changes… (more)

Subjects/Keywords: High Arctic; Normalized Difference Vegetation Index (NDVI); IKONOS; Worldview-2; Worldview-3; Climate Change; Pseudoinvariant Feature; Canada; Braun-Blanquet; Active Layer Detachment; Remote Sensing; Vegetation; Time Series Analysis

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APA (6th Edition):

Freemantle, V. (n.d.). A high spatial resolution satellite remote sensing time series analysis of Cape Bounty, Melville Island, Nunavut (2004-2018) . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/26153

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):

Freemantle, Valerie. “A high spatial resolution satellite remote sensing time series analysis of Cape Bounty, Melville Island, Nunavut (2004-2018) .” Thesis, Queens University. Accessed December 08, 2019. http://hdl.handle.net/1974/26153.

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):

Freemantle, Valerie. “A high spatial resolution satellite remote sensing time series analysis of Cape Bounty, Melville Island, Nunavut (2004-2018) .” Web. 08 Dec 2019.

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

Vancouver:

Freemantle V. A high spatial resolution satellite remote sensing time series analysis of Cape Bounty, Melville Island, Nunavut (2004-2018) . [Internet] [Thesis]. Queens University; [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1974/26153.

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:

Freemantle V. A high spatial resolution satellite remote sensing time series analysis of Cape Bounty, Melville Island, Nunavut (2004-2018) . [Thesis]. Queens University; Available from: http://hdl.handle.net/1974/26153

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

.