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Beyond NDVI: Extraction of Biophysical Variables From Remote Sensing Imagery

  • J. G. P. W. Clevers
Chapter
Part of the Remote Sensing and Digital Image Processing book series (RDIP, volume 18)

Abstract

This chapter provides an overview of methods used for the extraction of biophysical vegetation variables from remote sensing imagery. It starts with the description of the main spectral regions in the optical window of the electromagnetic spectrum based on typical spectral signatures of land surfaces. Subsequently, the merit and problems of using radiative transfer models to describe the relationship between spectral measurements and biophysical and chemical variables of vegetation are described. Next, the use of statistical methods by means of vegetation indices for the same purpose gets attention. An overview of different types of indices is given without having the ambition in being exhaustive. Subsequently, an overview is provided of the biogeophysical vegetation variables that can directly be estimated from optical remote sensing observations, with emphasis on using vegetation indices. These vegetation variables are: (1) chlorophyll and nitrogen, (2) vegetation cover fraction and fAPAR, (3) leaf area index, and (4) canopy water. Finally, an outlook for a major research direction in the near future in this context is provided.

Keywords

Normalize Difference Vegetation Index Vegetation Index Leaf Area Index Radiative Transfer Model Bidirectional Reflectance Distribution Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.Centre for Geo-InformationWageningen UniversityWageningenNetherlands

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