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You searched for +publisher:"NARCIS" +contributor:("Michael Schaepman"). Showing records 1 – 11 of 11 total matches.

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1. Mulder, V.L. Spectroscopy-supported digital soil mapping.

Degree: 2013, NARCIS

  Global environmental changes have resulted in changes in key ecosystem services that soils provide. It is necessary to have up to date soil information… (more)

Subjects/Keywords: bodemkarteringen; bodem; cartografie; spectroscopie; remote sensing; bodemsamenstelling; Bodemkunde (algemeen); soil surveys; soil; mapping; spectroscopy; remote sensing; soil composition; Soil Science (General)

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APA (6th Edition):

Mulder, V. L. (2013). Spectroscopy-supported digital soil mapping. (Doctoral Dissertation). NARCIS. Retrieved from http://library.wur.nl/WebQuery/wurpubs/443049 ; urn:nbn:nl:ui:32-443049 ; urn:nbn:nl:ui:32-443049 ; http://library.wur.nl/WebQuery/wurpubs/443049

Chicago Manual of Style (16th Edition):

Mulder, V L. “Spectroscopy-supported digital soil mapping.” 2013. Doctoral Dissertation, NARCIS. Accessed October 29, 2020. http://library.wur.nl/WebQuery/wurpubs/443049 ; urn:nbn:nl:ui:32-443049 ; urn:nbn:nl:ui:32-443049 ; http://library.wur.nl/WebQuery/wurpubs/443049.

MLA Handbook (7th Edition):

Mulder, V L. “Spectroscopy-supported digital soil mapping.” 2013. Web. 29 Oct 2020.

Vancouver:

Mulder VL. Spectroscopy-supported digital soil mapping. [Internet] [Doctoral dissertation]. NARCIS; 2013. [cited 2020 Oct 29]. Available from: http://library.wur.nl/WebQuery/wurpubs/443049 ; urn:nbn:nl:ui:32-443049 ; urn:nbn:nl:ui:32-443049 ; http://library.wur.nl/WebQuery/wurpubs/443049.

Council of Science Editors:

Mulder VL. Spectroscopy-supported digital soil mapping. [Doctoral Dissertation]. NARCIS; 2013. Available from: http://library.wur.nl/WebQuery/wurpubs/443049 ; urn:nbn:nl:ui:32-443049 ; urn:nbn:nl:ui:32-443049 ; http://library.wur.nl/WebQuery/wurpubs/443049

2. Bartholomeus, H. The influence of vegetation cover on the spectroscopic estimation of soil properties.

Degree: 2009, NARCIS

 Voor het bepalen van de kwaliteit van de bodem als hulpbron is er behoefte aan een regelmatige bepaling van de chemische en fysische eigenschappen, zowel… (more)

Subjects/Keywords: bodemeigenschappen; vegetatie; spectroscopie; schatting; koolstof; landbouwgronden; ijzer; bodemchemie; geostatistiek; Remote sensing; soil properties; vegetation; spectroscopy; estimation; carbon; agricultural soils; iron; soil chemistry; geostatistics; Remote Sensing

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APA (6th Edition):

Bartholomeus, H. (2009). The influence of vegetation cover on the spectroscopic estimation of soil properties. (Doctoral Dissertation). NARCIS. Retrieved from http://library.wur.nl/WebQuery/wurpubs/382965 ; urn:nbn:nl:ui:32-382965 ; urn:nbn:nl:ui:32-382965 ; http://library.wur.nl/WebQuery/wurpubs/382965

Chicago Manual of Style (16th Edition):

Bartholomeus, H. “The influence of vegetation cover on the spectroscopic estimation of soil properties.” 2009. Doctoral Dissertation, NARCIS. Accessed October 29, 2020. http://library.wur.nl/WebQuery/wurpubs/382965 ; urn:nbn:nl:ui:32-382965 ; urn:nbn:nl:ui:32-382965 ; http://library.wur.nl/WebQuery/wurpubs/382965.

MLA Handbook (7th Edition):

Bartholomeus, H. “The influence of vegetation cover on the spectroscopic estimation of soil properties.” 2009. Web. 29 Oct 2020.

Vancouver:

Bartholomeus H. The influence of vegetation cover on the spectroscopic estimation of soil properties. [Internet] [Doctoral dissertation]. NARCIS; 2009. [cited 2020 Oct 29]. Available from: http://library.wur.nl/WebQuery/wurpubs/382965 ; urn:nbn:nl:ui:32-382965 ; urn:nbn:nl:ui:32-382965 ; http://library.wur.nl/WebQuery/wurpubs/382965.

Council of Science Editors:

Bartholomeus H. The influence of vegetation cover on the spectroscopic estimation of soil properties. [Doctoral Dissertation]. NARCIS; 2009. Available from: http://library.wur.nl/WebQuery/wurpubs/382965 ; urn:nbn:nl:ui:32-382965 ; urn:nbn:nl:ui:32-382965 ; http://library.wur.nl/WebQuery/wurpubs/382965

3. Jong, de, R. Analysis of vegetation-activity trends in a global land degradation framework.

Degree: 2012, NARCIS

  Land degradation is a global issue on a par with climate change and loss of biodiversity, but its extent and severity are only roughly… (more)

Subjects/Keywords: vegetatie; vegetatie-indexen; landdegradatie; cartografie; monitoring; observatie; exploratie; klimaat; seizoenvariatie; satellietbeelden; remote sensing; Remote sensing en geografische informatiesystemen (algemeen); Bodemdegradatie en bodembescherming; vegetation; vegetation indices; land degradation; mapping; monitoring; observation; exploration; climate; seasonal variation; satellite imagery; remote sensing; Remote Sensing and Geographical Information Systems (General); Land degradation & Land conservation

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APA (6th Edition):

Jong, de, R. (2012). Analysis of vegetation-activity trends in a global land degradation framework. (Doctoral Dissertation). NARCIS. Retrieved from http://library.wur.nl/WebQuery/wurpubs/424642 ; urn:nbn:nl:ui:32-424642 ; urn:nbn:nl:ui:32-424642 ; http://library.wur.nl/WebQuery/wurpubs/424642

Chicago Manual of Style (16th Edition):

Jong, de, R. “Analysis of vegetation-activity trends in a global land degradation framework.” 2012. Doctoral Dissertation, NARCIS. Accessed October 29, 2020. http://library.wur.nl/WebQuery/wurpubs/424642 ; urn:nbn:nl:ui:32-424642 ; urn:nbn:nl:ui:32-424642 ; http://library.wur.nl/WebQuery/wurpubs/424642.

MLA Handbook (7th Edition):

Jong, de, R. “Analysis of vegetation-activity trends in a global land degradation framework.” 2012. Web. 29 Oct 2020.

Vancouver:

Jong, de R. Analysis of vegetation-activity trends in a global land degradation framework. [Internet] [Doctoral dissertation]. NARCIS; 2012. [cited 2020 Oct 29]. Available from: http://library.wur.nl/WebQuery/wurpubs/424642 ; urn:nbn:nl:ui:32-424642 ; urn:nbn:nl:ui:32-424642 ; http://library.wur.nl/WebQuery/wurpubs/424642.

Council of Science Editors:

Jong, de R. Analysis of vegetation-activity trends in a global land degradation framework. [Doctoral Dissertation]. NARCIS; 2012. Available from: http://library.wur.nl/WebQuery/wurpubs/424642 ; urn:nbn:nl:ui:32-424642 ; urn:nbn:nl:ui:32-424642 ; http://library.wur.nl/WebQuery/wurpubs/424642

4. Zurita Milla, R. Mapping and monitoring heterogeneous landscapes: spatial, spectral and temporal unmixing of MERIS data.

Degree: 2008, NARCIS

 Our environment is continuously undergoing change. This change takes place at several spatial and temporal scales and it is largely driven by anthropogenic activities. In… (more)

Subjects/Keywords: remote sensing; cartografie; monitoring; landschap; gegevensverwerking; spectrale gegevens; variatie in de tijd; satellietbeelden; satellietkarteringen; geodata; Remote sensing en geografische informatiesystemen (algemeen); remote sensing; mapping; monitoring; landscape; data processing; spectral data; temporal variation; satellite imagery; satellite surveys; geodata; Remote Sensing and Geographical Information Systems (General)

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APA (6th Edition):

Zurita Milla, R. (2008). Mapping and monitoring heterogeneous landscapes: spatial, spectral and temporal unmixing of MERIS data. (Doctoral Dissertation). NARCIS. Retrieved from http://library.wur.nl/WebQuery/wurpubs/368567 ; urn:nbn:nl:ui:32-368567 ; urn:nbn:nl:ui:32-368567 ; http://library.wur.nl/WebQuery/wurpubs/368567

Chicago Manual of Style (16th Edition):

Zurita Milla, R. “Mapping and monitoring heterogeneous landscapes: spatial, spectral and temporal unmixing of MERIS data.” 2008. Doctoral Dissertation, NARCIS. Accessed October 29, 2020. http://library.wur.nl/WebQuery/wurpubs/368567 ; urn:nbn:nl:ui:32-368567 ; urn:nbn:nl:ui:32-368567 ; http://library.wur.nl/WebQuery/wurpubs/368567.

MLA Handbook (7th Edition):

Zurita Milla, R. “Mapping and monitoring heterogeneous landscapes: spatial, spectral and temporal unmixing of MERIS data.” 2008. Web. 29 Oct 2020.

Vancouver:

Zurita Milla R. Mapping and monitoring heterogeneous landscapes: spatial, spectral and temporal unmixing of MERIS data. [Internet] [Doctoral dissertation]. NARCIS; 2008. [cited 2020 Oct 29]. Available from: http://library.wur.nl/WebQuery/wurpubs/368567 ; urn:nbn:nl:ui:32-368567 ; urn:nbn:nl:ui:32-368567 ; http://library.wur.nl/WebQuery/wurpubs/368567.

Council of Science Editors:

Zurita Milla R. Mapping and monitoring heterogeneous landscapes: spatial, spectral and temporal unmixing of MERIS data. [Doctoral Dissertation]. NARCIS; 2008. Available from: http://library.wur.nl/WebQuery/wurpubs/368567 ; urn:nbn:nl:ui:32-368567 ; urn:nbn:nl:ui:32-368567 ; http://library.wur.nl/WebQuery/wurpubs/368567

5. Laurent, V.C.E. Coupled canopy-atmosphere modelling for radiance-based estimation of vegetation properties.

Degree: 2013, NARCIS

  Vegetation is an important component of the Earth’s biosphere and therefore plays a crucial role in the carbon exchange of terrestrial ecosystems. Vegetation variables,… (more)

Subjects/Keywords: vegetatie; modelleren; kroondak; atmosfeer; remote sensing; meting; methodologie; vegetation; modeling; canopy; atmosphere; remote sensing; measurement; methodology

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APA (6th Edition):

Laurent, V. C. E. (2013). Coupled canopy-atmosphere modelling for radiance-based estimation of vegetation properties. (Doctoral Dissertation). NARCIS. Retrieved from http://library.wur.nl/WebQuery/wurpubs/439732 ; urn:nbn:nl:ui:32-439732 ; urn:nbn:nl:ui:32-439732 ; http://library.wur.nl/WebQuery/wurpubs/439732

Chicago Manual of Style (16th Edition):

Laurent, V C E. “Coupled canopy-atmosphere modelling for radiance-based estimation of vegetation properties.” 2013. Doctoral Dissertation, NARCIS. Accessed October 29, 2020. http://library.wur.nl/WebQuery/wurpubs/439732 ; urn:nbn:nl:ui:32-439732 ; urn:nbn:nl:ui:32-439732 ; http://library.wur.nl/WebQuery/wurpubs/439732.

MLA Handbook (7th Edition):

Laurent, V C E. “Coupled canopy-atmosphere modelling for radiance-based estimation of vegetation properties.” 2013. Web. 29 Oct 2020.

Vancouver:

Laurent VCE. Coupled canopy-atmosphere modelling for radiance-based estimation of vegetation properties. [Internet] [Doctoral dissertation]. NARCIS; 2013. [cited 2020 Oct 29]. Available from: http://library.wur.nl/WebQuery/wurpubs/439732 ; urn:nbn:nl:ui:32-439732 ; urn:nbn:nl:ui:32-439732 ; http://library.wur.nl/WebQuery/wurpubs/439732.

Council of Science Editors:

Laurent VCE. Coupled canopy-atmosphere modelling for radiance-based estimation of vegetation properties. [Doctoral Dissertation]. NARCIS; 2013. Available from: http://library.wur.nl/WebQuery/wurpubs/439732 ; urn:nbn:nl:ui:32-439732 ; urn:nbn:nl:ui:32-439732 ; http://library.wur.nl/WebQuery/wurpubs/439732

6. Mücher, C.A. Geo-spatial modelling and monitoring of European landscapes and habitats using remote sensing and field surveys.

Degree: 2009, NARCIS

 De belangrijkste doelstelling van dit proefschrift is het ontwikkelen van methoden voor het kwantificeren van de ruimtelijke verspreiding en omvang van Europese landschappen en habitats… (more)

Subjects/Keywords: landschap; remote sensing; karteringen; habitats; geografische verdeling; modellen; monitoring; europa; vegetatiemonitoring; landschapsanalyse; veldwerk; ruimtelijke modellen; ruimtelijke analyse; modelleren; landgebruiksmonitoring; Plantenecologie; landscape; remote sensing; surveys; habitats; geographical distribution; models; monitoring; europe; vegetation monitoring; landscape analysis; field work; spatial models; spatial analysis; modeling; land use monitoring; Plant Ecology

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APA (6th Edition):

Mücher, C. A. (2009). Geo-spatial modelling and monitoring of European landscapes and habitats using remote sensing and field surveys. (Doctoral Dissertation). NARCIS. Retrieved from http://library.wur.nl/WebQuery/wurpubs/383908 ; urn:nbn:nl:ui:32-383908 ; urn:nbn:nl:ui:32-383908 ; http://library.wur.nl/WebQuery/wurpubs/383908

Chicago Manual of Style (16th Edition):

Mücher, C A. “Geo-spatial modelling and monitoring of European landscapes and habitats using remote sensing and field surveys.” 2009. Doctoral Dissertation, NARCIS. Accessed October 29, 2020. http://library.wur.nl/WebQuery/wurpubs/383908 ; urn:nbn:nl:ui:32-383908 ; urn:nbn:nl:ui:32-383908 ; http://library.wur.nl/WebQuery/wurpubs/383908.

MLA Handbook (7th Edition):

Mücher, C A. “Geo-spatial modelling and monitoring of European landscapes and habitats using remote sensing and field surveys.” 2009. Web. 29 Oct 2020.

Vancouver:

Mücher CA. Geo-spatial modelling and monitoring of European landscapes and habitats using remote sensing and field surveys. [Internet] [Doctoral dissertation]. NARCIS; 2009. [cited 2020 Oct 29]. Available from: http://library.wur.nl/WebQuery/wurpubs/383908 ; urn:nbn:nl:ui:32-383908 ; urn:nbn:nl:ui:32-383908 ; http://library.wur.nl/WebQuery/wurpubs/383908.

Council of Science Editors:

Mücher CA. Geo-spatial modelling and monitoring of European landscapes and habitats using remote sensing and field surveys. [Doctoral Dissertation]. NARCIS; 2009. Available from: http://library.wur.nl/WebQuery/wurpubs/383908 ; urn:nbn:nl:ui:32-383908 ; urn:nbn:nl:ui:32-383908 ; http://library.wur.nl/WebQuery/wurpubs/383908

7. Jin, X. Ecohydrology in water-limited environment using quantitative remote sensing - the Heihe River basin (China) case.

Degree: 2009, NARCIS

 Water-limited environments exist on all continents of the globe and they cover more than 30% of the Earth’s land surface. The eco-environments of these regions… (more)

Subjects/Keywords: hydrologie; ecologie; remote sensing; china; stroomgebieden; aride klimaatzones; ecohydrologie; Ecologie (algemeen); hydrology; ecology; remote sensing; china; watersheds; arid zones; ecohydrology; Ecology (General)

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APA (6th Edition):

Jin, X. (2009). Ecohydrology in water-limited environment using quantitative remote sensing - the Heihe River basin (China) case. (Doctoral Dissertation). NARCIS. Retrieved from http://library.wur.nl/WebQuery/wurpubs/376458 ; urn:nbn:nl:ui:32-376458 ; urn:nbn:nl:ui:32-376458 ; http://library.wur.nl/WebQuery/wurpubs/376458

Chicago Manual of Style (16th Edition):

Jin, X. “Ecohydrology in water-limited environment using quantitative remote sensing - the Heihe River basin (China) case.” 2009. Doctoral Dissertation, NARCIS. Accessed October 29, 2020. http://library.wur.nl/WebQuery/wurpubs/376458 ; urn:nbn:nl:ui:32-376458 ; urn:nbn:nl:ui:32-376458 ; http://library.wur.nl/WebQuery/wurpubs/376458.

MLA Handbook (7th Edition):

Jin, X. “Ecohydrology in water-limited environment using quantitative remote sensing - the Heihe River basin (China) case.” 2009. Web. 29 Oct 2020.

Vancouver:

Jin X. Ecohydrology in water-limited environment using quantitative remote sensing - the Heihe River basin (China) case. [Internet] [Doctoral dissertation]. NARCIS; 2009. [cited 2020 Oct 29]. Available from: http://library.wur.nl/WebQuery/wurpubs/376458 ; urn:nbn:nl:ui:32-376458 ; urn:nbn:nl:ui:32-376458 ; http://library.wur.nl/WebQuery/wurpubs/376458.

Council of Science Editors:

Jin X. Ecohydrology in water-limited environment using quantitative remote sensing - the Heihe River basin (China) case. [Doctoral Dissertation]. NARCIS; 2009. Available from: http://library.wur.nl/WebQuery/wurpubs/376458 ; urn:nbn:nl:ui:32-376458 ; urn:nbn:nl:ui:32-376458 ; http://library.wur.nl/WebQuery/wurpubs/376458

8. Verrelst, J. Space-born spectrodirectional estimation of forest properties.

Degree: 2010, NARCIS

 With the upcoming global warming forests are under threat. To forecast climate change impacts and adaptations, there is need for developing improved forest monitoring services,… (more)

Subjects/Keywords: bossen; bosecologie; achteruitgang, bossen; gezondheidstoestand van het bos; bosinventarisaties; remote sensing; spectrometrie; bosbedrijfsvoering; bosmonitoring; bosstructuur; nabij infrarood spectroscopie; geïntegreerd bosbeheer; Bosbeheer; forests; forest ecology; forest decline; forest health; forest inventories; remote sensing; spectrometry; forest management; forest monitoring; forest structure; near infrared spectroscopy; integrated forest management

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APA (6th Edition):

Verrelst, J. (2010). Space-born spectrodirectional estimation of forest properties. (Doctoral Dissertation). NARCIS. Retrieved from http://library.wur.nl/WebQuery/wurpubs/391162 ; urn:nbn:nl:ui:32-391162 ; urn:nbn:nl:ui:32-391162 ; http://library.wur.nl/WebQuery/wurpubs/391162

Chicago Manual of Style (16th Edition):

Verrelst, J. “Space-born spectrodirectional estimation of forest properties.” 2010. Doctoral Dissertation, NARCIS. Accessed October 29, 2020. http://library.wur.nl/WebQuery/wurpubs/391162 ; urn:nbn:nl:ui:32-391162 ; urn:nbn:nl:ui:32-391162 ; http://library.wur.nl/WebQuery/wurpubs/391162.

MLA Handbook (7th Edition):

Verrelst, J. “Space-born spectrodirectional estimation of forest properties.” 2010. Web. 29 Oct 2020.

Vancouver:

Verrelst J. Space-born spectrodirectional estimation of forest properties. [Internet] [Doctoral dissertation]. NARCIS; 2010. [cited 2020 Oct 29]. Available from: http://library.wur.nl/WebQuery/wurpubs/391162 ; urn:nbn:nl:ui:32-391162 ; urn:nbn:nl:ui:32-391162 ; http://library.wur.nl/WebQuery/wurpubs/391162.

Council of Science Editors:

Verrelst J. Space-born spectrodirectional estimation of forest properties. [Doctoral Dissertation]. NARCIS; 2010. Available from: http://library.wur.nl/WebQuery/wurpubs/391162 ; urn:nbn:nl:ui:32-391162 ; urn:nbn:nl:ui:32-391162 ; http://library.wur.nl/WebQuery/wurpubs/391162

9. Malenovsky, Z. Quantitative remote sensing of Norway spruce (Picea abies (L.) Karst.): spectroscopy from needles to crowns to canopies.

Degree: 2006, NARCIS

 Mountain ecosystems represent nearly one fourth of the Earth's land surface, and provide (ecosystem) services to a significant part of the world's human population. As… (more)

Subjects/Keywords: picea abies; remote sensing; spectroscopie; kroondak; bergbossen; dennennaalden; schaalverandering; Bosinventarisaties; picea abies; remote sensing; spectroscopy; canopy; mountain forests; pine needles; scaling; Forest Inventories

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APA (6th Edition):

Malenovsky, Z. (2006). Quantitative remote sensing of Norway spruce (Picea abies (L.) Karst.): spectroscopy from needles to crowns to canopies. (Doctoral Dissertation). NARCIS. Retrieved from http://library.wur.nl/WebQuery/wurpubs/348674 ; urn:nbn:nl:ui:32-348674 ; urn:nbn:nl:ui:32-348674 ; http://library.wur.nl/WebQuery/wurpubs/348674

Chicago Manual of Style (16th Edition):

Malenovsky, Z. “Quantitative remote sensing of Norway spruce (Picea abies (L.) Karst.): spectroscopy from needles to crowns to canopies.” 2006. Doctoral Dissertation, NARCIS. Accessed October 29, 2020. http://library.wur.nl/WebQuery/wurpubs/348674 ; urn:nbn:nl:ui:32-348674 ; urn:nbn:nl:ui:32-348674 ; http://library.wur.nl/WebQuery/wurpubs/348674.

MLA Handbook (7th Edition):

Malenovsky, Z. “Quantitative remote sensing of Norway spruce (Picea abies (L.) Karst.): spectroscopy from needles to crowns to canopies.” 2006. Web. 29 Oct 2020.

Vancouver:

Malenovsky Z. Quantitative remote sensing of Norway spruce (Picea abies (L.) Karst.): spectroscopy from needles to crowns to canopies. [Internet] [Doctoral dissertation]. NARCIS; 2006. [cited 2020 Oct 29]. Available from: http://library.wur.nl/WebQuery/wurpubs/348674 ; urn:nbn:nl:ui:32-348674 ; urn:nbn:nl:ui:32-348674 ; http://library.wur.nl/WebQuery/wurpubs/348674.

Council of Science Editors:

Malenovsky Z. Quantitative remote sensing of Norway spruce (Picea abies (L.) Karst.): spectroscopy from needles to crowns to canopies. [Doctoral Dissertation]. NARCIS; 2006. Available from: http://library.wur.nl/WebQuery/wurpubs/348674 ; urn:nbn:nl:ui:32-348674 ; urn:nbn:nl:ui:32-348674 ; http://library.wur.nl/WebQuery/wurpubs/348674

10. Zeng, Y. Quantitative remote sensing for monitoring forest canopy structural variables in the Three Gorges region of China.

Degree: 2008, NARCIS

 Bridging various scales ranging from local to regional and global, remote sensing has facilitated extraordinary advances in modeling and mapping ecosystems and their functioning. Since… (more)

Subjects/Keywords: kroondak; bossen; remote sensing; schaalverandering; china; bosstructuur; beeldvormende spectroscopie; Bosinventarisaties; canopy; forests; remote sensing; scaling; china; forest structure; imaging spectroscopy; Forest Inventories

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APA (6th Edition):

Zeng, Y. (2008). Quantitative remote sensing for monitoring forest canopy structural variables in the Three Gorges region of China. (Doctoral Dissertation). NARCIS. Retrieved from http://library.wur.nl/WebQuery/wurpubs/365305 ; urn:nbn:nl:ui:32-365305 ; urn:nbn:nl:ui:32-365305 ; http://library.wur.nl/WebQuery/wurpubs/365305

Chicago Manual of Style (16th Edition):

Zeng, Y. “Quantitative remote sensing for monitoring forest canopy structural variables in the Three Gorges region of China.” 2008. Doctoral Dissertation, NARCIS. Accessed October 29, 2020. http://library.wur.nl/WebQuery/wurpubs/365305 ; urn:nbn:nl:ui:32-365305 ; urn:nbn:nl:ui:32-365305 ; http://library.wur.nl/WebQuery/wurpubs/365305.

MLA Handbook (7th Edition):

Zeng, Y. “Quantitative remote sensing for monitoring forest canopy structural variables in the Three Gorges region of China.” 2008. Web. 29 Oct 2020.

Vancouver:

Zeng Y. Quantitative remote sensing for monitoring forest canopy structural variables in the Three Gorges region of China. [Internet] [Doctoral dissertation]. NARCIS; 2008. [cited 2020 Oct 29]. Available from: http://library.wur.nl/WebQuery/wurpubs/365305 ; urn:nbn:nl:ui:32-365305 ; urn:nbn:nl:ui:32-365305 ; http://library.wur.nl/WebQuery/wurpubs/365305.

Council of Science Editors:

Zeng Y. Quantitative remote sensing for monitoring forest canopy structural variables in the Three Gorges region of China. [Doctoral Dissertation]. NARCIS; 2008. Available from: http://library.wur.nl/WebQuery/wurpubs/365305 ; urn:nbn:nl:ui:32-365305 ; urn:nbn:nl:ui:32-365305 ; http://library.wur.nl/WebQuery/wurpubs/365305

11. Wit, de, A.J.W. Regional crop yield forecasting using probalistic crop growth modelling and remote sensing data assimilation.

Degree: 2007, NARCIS

 Een belangrijk onderdeel van het MARS oogstvoorspellingssysteem is het zogenaamde CGMS (crop growth monitoring system). CGMS gebruikt een gewasgroeimodel om het effect van bodem, weer… (more)

Subjects/Keywords: gewasopbrengst; oogstvoorspelling; remote sensing; gewassen; groei; weer; modellen; gewasgroeimodellen; Landbouwplantenteelt; crop yield; yield forecasting; remote sensing; crops; growth; weather; models; crop growth models; Crop Husbandry

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APA (6th Edition):

Wit, de, A. J. W. (2007). Regional crop yield forecasting using probalistic crop growth modelling and remote sensing data assimilation. (Doctoral Dissertation). NARCIS. Retrieved from http://library.wur.nl/WebQuery/wurpubs/357755 ; urn:nbn:nl:ui:32-357755 ; urn:nbn:nl:ui:32-357755 ; http://library.wur.nl/WebQuery/wurpubs/357755

Chicago Manual of Style (16th Edition):

Wit, de, A J W. “Regional crop yield forecasting using probalistic crop growth modelling and remote sensing data assimilation.” 2007. Doctoral Dissertation, NARCIS. Accessed October 29, 2020. http://library.wur.nl/WebQuery/wurpubs/357755 ; urn:nbn:nl:ui:32-357755 ; urn:nbn:nl:ui:32-357755 ; http://library.wur.nl/WebQuery/wurpubs/357755.

MLA Handbook (7th Edition):

Wit, de, A J W. “Regional crop yield forecasting using probalistic crop growth modelling and remote sensing data assimilation.” 2007. Web. 29 Oct 2020.

Vancouver:

Wit, de AJW. Regional crop yield forecasting using probalistic crop growth modelling and remote sensing data assimilation. [Internet] [Doctoral dissertation]. NARCIS; 2007. [cited 2020 Oct 29]. Available from: http://library.wur.nl/WebQuery/wurpubs/357755 ; urn:nbn:nl:ui:32-357755 ; urn:nbn:nl:ui:32-357755 ; http://library.wur.nl/WebQuery/wurpubs/357755.

Council of Science Editors:

Wit, de AJW. Regional crop yield forecasting using probalistic crop growth modelling and remote sensing data assimilation. [Doctoral Dissertation]. NARCIS; 2007. Available from: http://library.wur.nl/WebQuery/wurpubs/357755 ; urn:nbn:nl:ui:32-357755 ; urn:nbn:nl:ui:32-357755 ; http://library.wur.nl/WebQuery/wurpubs/357755

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