Modelling Carbon Sequestration in Drylands of Kazakhstan Using Remote Sensing Data and Field Measurements
作者： P. A. Propastin , M. Kappas
DOI: 10.1007/978-90-481-8657-0_22
关键词:
摘要: Landsat ETM+ data were related with field measurements of carbon stocks residing in the vegetation and soil along a 230 km west-east transect within Kazakhstan’s grassland zone. The biomass was correlated to mid-infrared corrected Normalized Difference Vegetation Index (NDVIc). Soil responded most strongly multi-spectral features Kauth-Thomas transformation (KT) modelled using non-linear multiple regression. Retrieved models applied image mapped over Shetsky district Karaganda province at pixel-by-pixel scale. Total terrestrial estimated for area account 97.2 million tons, whereas part it (97.6%) is soil.
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