Open AccessSynergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data
Author(s) -
Knyazikhin Y.,
Martonchik J. V.,
Myneni R. B.,
Diner D. J.,
Running S. W.
Publication year - 1998
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/98jd02462
Subject(s) - photosynthetically active radiation , spectroradiometer , remote sensing , radiative transfer , leaf area index , shortwave , moderate resolution imaging spectroradiometer , atmospheric radiative transfer codes , environmental science , shortwave radiation , canopy , vegetation (pathology) , meteorology , algorithm , radiation , atmospheric sciences , reflectivity , computer science , satellite , physics , optics , geology , geography , photosynthesis , ecology , medicine , botany , archaeology , pathology , astronomy , biology
A synergistic algorithm for producing global leaf area index and fraction of absorbed photosynthetically active radiation fields from canopy reflectance data measured by MODIS (moderate resolution imaging spectroradiometer) and MISR (multiangle imaging spectroradiometer) instruments aboard the EOS‐AM 1 platform is described here. The proposed algorithm is based on a three‐dimensional formulation of the radiative transfer process in vegetation canopies. It allows the use of information provided by MODIS (single angle and up to 7 shortwave spectral bands) and MISR (nine angles and four shortwave spectral bands) instruments within one algorithm. By accounting features specific to the problem of radiative transfer in plant canopies, powerful techniques developed in reactor theory and atmospheric physics are adapted to split a complicated three‐dimensional radiative transfer problem into two independent, simpler subproblems, the solutions of which are stored in the form of a look‐up table. The theoretical background required for the design of the synergistic algorithm is discussed.