Inversion of a radiative transfer model for estimating forest LAI from multisource and multiangular optical remote sensing data

IEEE Transactions on Geoscience and Remote Sensing

Volumn 49, Issue 3, 2011, Pages 988-1000

  Yang, Guijun ^a   Zhao, Chunjiang ^b   Liu, Qiang ^b   Huang, Wenjiang ^b   Wang, Jihua ^b  

^a NATIONAL ENGINEERING RESEARCH CENTER FOR INFORMATION TECHNOLOGY IN AGRICULTURE   (China)

^b BEIJING NORMAL UNIVERSITY   (China)

Author keywords

Forest leaf area index (LAI); Inversion; Multisource and multiangle; Radiative transfer model; Remote sensing

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BEIJING-1; FIELD MEASUREMENT; FOREST REFLECTANCE MODEL; HYBRID MODEL; IMAGE DATA; INVERSION; INVERSION ACCURACY; INVERSION METHODS; INVERSION MODELS; K-MEANS CLUSTERING; K-MEANS METHOD; LANDSAT-5; LEAF AREA INDEX; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; MULTI-ANGLE; MULTI-ANGLE DATA; MULTISOURCES; MULTISPECTRAL SENSORS; OBSERVATION ANGLE; OPTICAL REMOTE SENSING DATA; RADIATIVE TRANSFER MODEL; RANDOM NOISE; SIMULATED DATA; SINGLE ANGLES; SMALL SATELLITES; THEMATIC MAPPERS; TRAINING DATA; UNDERSTORY VEGETATION; VERTICAL DISTRIBUTIONS;

NEURAL NETWORKS; RADIATIVE TRANSFER; RADIOMETERS; REMOTE SENSING;

COMPUTER SIMULATION;

ARTIFICIAL NEURAL NETWORK; IMAGE ANALYSIS; LANDSAT THEMATIC MAPPER; LEAF AREA INDEX; MODIS; RADIATIVE TRANSFER; REMOTE SENSING; STAND STRUCTURE;

EID: 79952039360     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2010.2071416     Document Type: Article

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