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Proceedings Paper

Further studies on vegetation temperature condition index drought-monitoring model using AVHRR data
Author(s): Wei Sun; Peng-xin Wang
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Paper Abstract

The study is focused on the methods for determining the warm edge and cold edge of vegetation temperature condition index (VTCI) drought monitoring approach by using the multi-years' composited LST and NDVI products. The results show the warm edge can be determined by using multi-years' maximum value composited LST and NDVI products at a specific period, While, the cold edge is determined by a maximum-minimum value composited approach. The ground-measured precipitation data in Guanzhong Plain, Shaanxi Province, PR China are employed to validate the edge determining methods and VTCI approach. The correlation coefficients between VTCI and cumulative precipitation at 1 or 2 periods of ten days' interval are the highest. These results indicate that the edge determining methods are suitable for VTCI approach, and VTCI is a near-real time drought monitoring approach.

Paper Details

Date Published: 1 September 2005
PDF: 8 pages
Proc. SPIE 5884, Remote Sensing and Modeling of Ecosystems for Sustainability II, 58840F (1 September 2005); doi: 10.1117/12.615840
Show Author Affiliations
Wei Sun, China Agricultural Univ. (China)
Peng-xin Wang, China Agricultural Univ. (China)

Published in SPIE Proceedings Vol. 5884:
Remote Sensing and Modeling of Ecosystems for Sustainability II
Wei Gao; David R. Shaw, Editor(s)

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