Title :
Direct algorithm for mapping land surface FPAR from MODIS apparent reflectance at top of atmosphere
Author :
Rongyuan Liu ; Huazhong Ren ; Suhong Liu ; Qiang Liu ; Yuanyuan Wang
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
Abstract :
Fraction of abstracted Photosynthetically Active Radiation (FPAR) is a fundamental terrestrial state variable in most ecosystem productivity models and is also one of the key terrestrial products. This paper proposed a new Direct-Algorithm to retrieve FPAR from apparent reflectance of MODIS´s seven bands in the visible, near-infrared and short-wave wavelengths. The Direct-Algorithm developed from the dataset simulated by radiative transfer models of canopy and atmosphere with different canopy structures and atmosphere conditions, estimated direct FPAR (FPARdir), and scattering FPAR (FPARsct), and total FPAR of the canopy (FPARtot) by using linear equations of TOA reflectance. Result showed that the estimated FPAR product were close to that of MODIS products except the forest, perhaps because the homogenous canopy of the SAIL model is not suitable for the forest canopy.
Keywords :
ecology; radiative transfer; radiometry; solar radiation; vegetation; FPAR retrieval; MODIS apparent top-of-atmosphere reflectance; MODIS product; SAIL model homogenous canopy; TOA reflectance linear equation; abstracted photosynthetically active radiation fraction; atmosphere condition; atmosphere radiative transfer model simulated dataset; canopy radiative transfer model simulated dataset; canopy structure; direct algorithm; ecosystem productivity model; estimated FPAR product; forest canopy; fundamental terrestrial state variable; land surface FPAR mapping; near-infrared wavelength; scattering FPAR; short-wave wavelength; terrestrial product; total canopy FPAR; visible wavelength; Atmospheric modeling; Atmospheric waves; MODIS; Mathematical model; Reflectivity; Remote sensing; Vegetation mapping; FPAR; MODIS; TOA apparent reflectance; direct algorithm;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6947118