Modelling Carbon Sequestration in Drylands of Kazakhstan Using Remote Sensing Data and Field Measurements
2010 | book part. A publication with affiliation to the University of Göttingen.
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Cite this publication
Modelling Carbon Sequestration in Drylands of Kazakhstan Using Remote Sensing Data and Field Measurements
Propastin, P. A. & Kappas, M. (2010)
In:Zdruli, P.; Pagliai, M.; Kapur, S.; Faz Cano, A. (Eds.), Land Degradation and Desertification: Assessment, Mitigation and Remediation pp. 297-306. Springer. DOI: https://doi.org/10.1007/978-90-481-8657-0_22
Documents & Media
Details
- Authors
- Propastin, P. A. ; Kappas, M.
- Editors
- Zdruli, P.; Pagliai, M.; Kapur, S.; Faz Cano, A.
- Abstract
- Landsat ETM+ data were related with field measurements of carbon stocks residing in the vegetation and in the soil along a 230 km west-east transect within Kazakhstan’s grassland zone. The biomass carbon was correlated to the mid-infrared corrected Normalized Difference Vegetation Index (NDVIc). Soil carbon responded most strongly to the multi-spectral features of the Kauth-Thomas transformation (KT) and was modelled using the non-linear multiple regression. Retrieved models were applied to the Landsat ETM+ image and carbon stocks were mapped over Shetsky district of Karaganda province at the pixel-by-pixel scale. Total terrestrial carbon stocks estimated for the area of Shetsky district account to 97.2 million tons, whereas most part of it (97.6%) is residing in soil.
- Issue Date
- 2010
- Publisher
- Springer
- ISBN
- 978-90-481-8656-3
- eISBN
- 978-90-481-8657-0
- Language
- English
