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Satellite detection of soil moisture related water stress impacts on ecosystem productivity using the MODIS-based photochemical reflectance index
2016
Remote Sensing of Environment
23 Satellite remote sensing provides continuous observations of vegetation properties that can be used to 24 estimate global terrestrial ecosystem gross primary production (GPP). The Photochemical Reflectance 25 Index (PRI) has been shown to be sensitive to vegetation photosynthetic light use efficiency (LUE), GPP 26 and canopy water-stress. Here, we use the NASA EOS MODIS (Moderate Resolution Imaging 27 Spectroradiometer) based PRI with eddy covariance CO 2 flux measurements and meteorological
doi:10.1016/j.rse.2016.08.019
fatcat:gtdrdrbmpzgj7fmojymaarotgq