Improved biomass estimation using the texture parameters of two high-resolution optical sensors

IEEE Transactions on Geoscience and Remote Sensing

Volumn 49, Issue 3, 2011, Pages 930-948

  Nichol, Janet E ^a   Sarker, Md Latifur Rahman ^a,b  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b UNIVERSITY OF RAJSHAHI   (Bangladesh)

Author keywords

Biomass estimation; Multisensors; Texture measurement

Indexed keywords

ALLOMETRIC MODELS; AVNIR-2; BIOMASS ESTIMATION; CARBON ACCOUNTING; CARBON SOURCE; CLIMATE CHANGE MODELING; DATA SETS; FIELD PLOT; FOREST BIOMASS; FOREST ECOSYSTEM; GREENHOUSE GAS INVENTORY; HIGH RESOLUTION; IMAGE DATA; IMAGE PARAMETERS; IMAGE PROCESSING TECHNIQUE; MULTI SENSOR; MULTI-SENSOR DATA; MULTIPLE REGRESSION MODEL; MULTISENSORS; NOVEL TECHNIQUES; REMOTE SENSING TECHNIQUES; SATURATION LEVELS; SINGLE SENSOR; SPATIAL CHARACTERISTICS; SPECTRAL BAND; SPECTRAL CHARACTERISTICS; SPECTRAL REFLECTANCES; STUDY AREAS; TEXTURE MEASUREMENT; VISIBLE AND NEAR INFRARED RADIOMETERS;

BIOMASS; DATA HANDLING; ECOSYSTEMS; FORESTRY; GLOBAL WARMING; GREENHOUSE GASES; IMAGE PROCESSING; IMAGING SYSTEMS; OPTICAL DATA PROCESSING; OPTICAL SENSORS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; REMOTE SENSING; TEXTURES;

PARAMETER ESTIMATION;

ALLOMETRY; AVNIR; BIOMASS; BIOPHYSICS; CLIMATE CHANGE; DATA SET; EMISSION INVENTORY; FOREST COVER; GREENHOUSE GAS; IMAGE PROCESSING; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; REMOTE SENSING; SATELLITE IMAGERY; SPATIAL DATA; SPECTRAL REFLECTANCE; SPOT; TEXTURE; TOPOGRAPHY;

BIOMASS; ECOSYSTEMS; FORESTRY; GREENHOUSE GASES; OPTICAL INSTRUMENTS; REGRESSION ANALYSIS; REMOTE SENSING; SENSORS; TEXTURE;

EID: 79952038910     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2010.2068574     Document Type: Article

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