Fractional vegetation cover estimation algorithm for Chinese GF-1 wide field view data

Remote Sensing of Environment

Volumn 177, Issue , 2016, Pages 184-191

  Jia, Kun ^a   Liang, Shunlin ^a,b   Gu, Xingfa ^c   Baret, F ^d   Wei, Xiangqin ^c   Wang, Xiaoxia ^a   Yao, Yunjun ^a   Yang, Linqing ^a   Li, Yuwei ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

^b UNIVERSITY OF MARYLAND   (United States)

^c INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^d UAPV   (France)

Author keywords

Fractional vegetation cover; GF 1 satellite; Neural networks; Wide field view data

Indexed keywords

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; IMAGE RESOLUTION; INFRARED DEVICES; MEAN SQUARE ERROR; NEURAL NETWORKS; RADIATIVE TRANSFER; REFLECTION; SURFACE MEASUREMENT; VEGETATION;

BACK PROPAGATION NEURAL NETWORKS; EARTH OBSERVATION SYSTEMS; FRACTIONAL VEGETATION COVER; HIGH TEMPORAL RESOLUTION; LAND SURFACE CONDITIONS; RADIATIVE TRANSFER MODEL; ROOT MEAN SQUARE ERRORS; WIDE-FIELD VIEW;

ALGORITHMS;

ALGORITHM; BACK PROPAGATION; CANOPY REFLECTANCE; ENVIRONMENTAL MONITORING; FIELD SURVEY; LAND COVER; LAND SURFACE; RADIATIVE TRANSFER; SATELLITE DATA; SATELLITE SENSOR; SPATIAL RESOLUTION; SURFACE REFLECTANCE; VEGETATION COVER;

CHINA; HEBEI; WEICHANG;

EID: 84959189216     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2016.02.019     Document Type: Article

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