Assimilating leaf area index of three typical types of subtropical forest in China from MODIS time series data based on the integrated ensemble Kalman filter and PROSAIL model

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 126, Issue , 2017, Pages 68-78

  Li, Xuejian ^a   Mao, Fangjie ^a   Du, Huaqiang ^a   Zhou, Guomo ^a   Xu, Xiaojun ^a   Han, Ning ^a   Sun, Shaobo ^a   Gao, Guolong ^a   Chen, Liang ^a  

^a ZHEJIANG A F UNIVERSITY   (China)

Author keywords

Data assimilation; EnKF; LAI; LAI dynamic model; PROSAIL model; Subtropical forest

Indexed keywords

BAMBOO; BANDPASS FILTERS; BIOINFORMATICS; ECOLOGY; ECOSYSTEMS; KALMAN FILTERS; RADIOMETERS; REFLECTION; REMOTE SENSING; TIME SERIES; TROPICS;

BIOLOGICAL PARAMETER; BIOPHYSICAL PARAMETERS; CARBON SEQUESTRATION; DATA ASSIMILATION; ENKF; ENSEMBLE KALMAN FILTER; SPATIO-TEMPORAL SIMULATION; SUBTROPICAL FORESTS;

FORESTRY;

ACCURACY ASSESSMENT; ALGORITHM; BAMBOO; CANOPY REFLECTANCE; CARBON SEQUESTRATION; DATA ASSIMILATION; DATA QUALITY; ENSEMBLE FORECASTING; FOREST ECOSYSTEM; GROWING SEASON; KALMAN FILTER; LEAF AREA INDEX; MODIS; REMOTE SENSING; SUBTROPICAL REGION; TIME SERIES ANALYSIS;

DATA; FORESTS; MODELS; SIMULATION;

CHINA; EUROPE;

PHYLLOSTACHYS PUBESCENS;

EID: 85013140559     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2017.02.002     Document Type: Article

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