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Proceedings Paper

Spatial and temporal characteristics of aridity conditions in Tarim Basin, China
Author(s): Zhandong Sun; Ni-Bin Chang; Christian Opp; Thomas Hennig
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Paper Abstract

Arid ecosystems are very sensitive to a variety of physical, chemical and biological degradation processes. Tarim Basin, the biggest endorheic basin in the Central Asia continent, is considered as one of the least water-endowed regions in the world and arid and semi-arid environmental conditions are dominant. For the purposes of the convention, arid, semi-arid and dry sub-humid areas were defined as "areas, other than polar and sub-polar regions, in which the ratio of annual precipitation to potential evapotranspiration falls within the range from 0.05 to 0.65." In this study, the Aridity Index (AI), the ratio of precipitation and land surface temperature, was also adopted as the base method for determining dry land types and thereby delineating boundaries and showing changes of aridity conditions in Tarim Basin. Here, precipitation is from TRMM/PR, and land surface temperature is from Modis LST. To analyze the spatial and temporal variations of arid environmental conditions in Tarim basin, we calculated the yearly aridity index (the ratio of total yearly rainfall to yearly mean Land Surface Temperature) based on the accumulated monthly precipitation and the monthly Land Surface Temperature in growing season for the period 2000-2009. The results indicated it is possible to work out an aridity index map with more detailed spatial patterns, which is valuable for identifying human impacts by associated with vegetation and soil moisture characters.

Paper Details

Date Published: 25 October 2010
PDF: 6 pages
Proc. SPIE 7831, Earth Resources and Environmental Remote Sensing/GIS Applications, 78311R (25 October 2010); doi: 10.1117/12.864956
Show Author Affiliations
Zhandong Sun, Nanjing Institute of Geography and Limnology (China)
Ni-Bin Chang, Univ. of Central Florida (United States)
Christian Opp, Philipps-Univ. Marburg (Germany)
Thomas Hennig, Philipps-Univ. Marburg (Germany)

Published in SPIE Proceedings Vol. 7831:
Earth Resources and Environmental Remote Sensing/GIS Applications
Ulrich Michel; Daniel L. Civco, Editor(s)

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