Determination of land and ocean reflective, radiative, and biophysical properties using multiangle imaging

被引:137
作者
Martonchik, JV
Diner, DJ
Pinty, B
Verstraete, MM
Myneni, RB
Knyazikhin, Y
Gordon, HR
机构
[1] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA
[2] Commiss European Communities, Joint Res Ctr, Space Applicat Inst, I-21020 Ispra, VA, Italy
[3] Boston Univ, Dept Geog, Boston, MA 02215 USA
[4] Univ Miami, Dept Phys, Coral Gables, FL 33124 USA
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 1998年 / 36卷 / 04期
基金
美国国家航空航天局;
关键词
algorithms; reflection; remote sensing; vegetation;
D O I
10.1109/36.701077
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Knowledge of the directional and hemispherical reflectance properties of natural surfaces, such as soils and vegetation canopies, is essential for classification studies and canopy model inversion. The Multi-angle Imaging SpectroRadiometer (MISR), an instrument to be launched in 1998 onboard the EOS-AM1 platform, will make global observations of the earth's surface at 1.1-km spatial resolution, with the objective of determining the atmospherically corrected reflectance properties of most of the land surface and the tropical ocean. The algorithms to retrieve surface directional reflectances, albedos, and selected biophysical parameters using MISR data are described. Since part of the MISR data analyses includes an aerosol retrieval, it is assumed that the optical properties of the atmosphere (i.e., aerosol characteristics) have been determined well enough to accurately model the radiative transfer process. The core surface retrieval algorithms are tested on simulated MISR data, computed using realistic surface reflectance and aerosol models, and the sensitivity of the retrieved directional and hemispherical reflectances to aerosol type and column amount is illustrated. Included is a summary list of the MISR surface products.
引用
收藏
页码:1266 / 1281
页数:16
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