收稿日期: 2002-07-12
修回日期: 2003-02-28
网络出版日期: 2003-08-01
基金资助
国家重点基础研究发展规划项目“地球表面时空多变要素的定量遥感理论与应用”（编号：G2000077900）；US NASA项目（ContractNAS5－31370）资助.
ADVANCES IN DROUGHT MONITORING BY USING REMOTELY SENSED NORMALIZED DIFFERENCE VEGETATION INDEX AND LAND SURFACE TEMPERATURE PRODUCTS
Received date: 2002-07-12
Revised date: 2003-02-28
Online published: 2003-08-01
WANZhengming , 王锦地 , 李小文 , 龚健雅 , 王鹏新 . 基于植被指数和土地表面温度的干旱监测模型[J]. 地球科学进展, 2003 , 18(4) : 527 -533 . DOI: 10.11867/j.issn.1001-8166.2003.04.0527
Drought is a slow-onset natural disaster, an insidious, creeping phenomenon；it occurs in virtually all climatic regimes. Land surface parameters, such as land cover, land surface temperature and soil surface moisture can be retrieved by using remote sensing techniques during the period of drought occurrence. The advances and prospects of applying remotely sensed normalized difference vegetation index（NDVI） and land surface temperature（LST） products for monitoring drought are reviewed. The advantages and disadvantages of NDVI and LST based drought monitoring models are analyzed. Anomaly vegetation index（AVI）, vegetation condition index（VCIW） and temperature condition index（TCI） are NDVI or LST based drought monitoring approaches, and study NDVI or LST differences between NDVI or LST values at a specific period of a year and their multi-year＇s averages or maximum and minimum values at the specific period. It is promising to develop drought monitoring approaches which integrate NDVI and LST products. These approaches are based on the correlation between NDVI and LST and have more physical interpretations than those of using NDVI or LST products alone. The ratio of LST and NDVI is a simple approach, the disadvantage of this approach is that it is difficult to obtain quantitative indices for describing drought intensity. We develop a drought monitoring approach called vegetation temperature condition index （VTCI）, and verify that VTCI is a near-real time drought monitoring approach. VTCI is not only related to NDVI changes, but also related to land surface temperature changes. It is defined as the ratio of LST differences among pixels with the same NDVI value in a sufficiently large study area, the numerator is the difference between maximum LST of the pixels and LST of one pixel, the denominator is the difference between maximum and minimum LST of the pixels. VTCI is lower for drought and higher for wet conditions.
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