GNR 636 - Remote Sensing of Vegetation

Basics of radiation physics for remote sensing of vegetation, Plant and canopy function, Sensing vegetation properties based on multispectral and hyperspectral data, vegetation indices and vegetation descriptors, relationship between vegetation indices and LAI, fAPAR, and other biophysical variables, image classification of various vegetation types, Radiative transfer (RT) models and estimation of vegetation biophysical properties, multiangular sensing of vegetation structure, radiation transfer properties, canopy reflectance models, field measurements and collection of ancillary reference data, upscaling, downscaling, problems of non-linearity, LiDAR for vegetation applications, applications covering a cross-section of topics on vegetation Basics of radiation physics for remote sensing of vegetation, Plant and canopy function, Sensing vegetation properties based on multispectral and hyperspectral data, vegetation indices and vegetation descriptors, relationship between vegetation indices and LAI, fAPAR, and other biophysical variables, image classification of various vegetation types, Radiative transfer (RT) models and estimation of vegetation biophysical properties, multiangular sensing of vegetation structure, radiation transfer properties, canopy reflectance models, field measurements and collection of ancillary reference data, upscaling, downscaling, problems of non-linearity, LiDAR for vegetation applications, applications covering a cross-section of topics on vegetation


  • Text / References:
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  • Clement Atzbergera et al., Suitability and adaptation of PROSAIL radiative transfer model for hyperspectral grassland studies, Remote Sensing Letters, 2013.