Further studies on vegetation temperature condition index drought-monitoring model using AVHRR data

Wei Sun; Peng-xin Wang

doi:10.1117/12.615840

1 September 2005 Further studies on vegetation temperature condition index drought-monitoring model using AVHRR data

Wei Sun, Peng-xin Wang

Proceedings Volume 5884, Remote Sensing and Modeling of Ecosystems for Sustainability II; 58840F (2005) https://doi.org/10.1117/12.615840
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

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.

Citation Download Citation

Wei Sun and Peng-xin Wang "Further studies on vegetation temperature condition index drought-monitoring model using AVHRR data", Proc. SPIE 5884, Remote Sensing and Modeling of Ecosystems for Sustainability II, 58840F (1 September 2005); https://doi.org/10.1117/12.615840

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