摘要
土壤水分是干旱监测的一个重要指标,应用中分辨率成像光谱仪(MODIS)数据,利用归一化差值植被指数(NDVI)和分裂窗法反演的地表温度建立的NDVI-Ts特征空间中,得到温度植被干旱指数(TVDI),很好地表征了土壤水分的空间分布,从而实现干旱的监测。对云南省2009年1月、3月和2010年1月、4月干旱的时间、空间特性进行监测,监测结果表明冬春季旱情分布比较广,受旱面积均超过70%,其中重旱主要发生在滇西南和滇中北部,并且从冬季到春季,整个旱情均出现由南向北发展的趋势,发生干旱总面积在减少,但旱情等级在提高,春季重旱比冬季重旱面积大。应用相关研究成果对干旱监测结果进行验证,结果表明利用温度植被干旱指数(TVDI)进行干旱监测,干旱发生范围与实际干旱发生情况是基本吻合的,其中重旱的主要集中区域在空间分布上是基本一致的,监测结果可信,能够为相关决策部门提供有力的信息支持。
Soil moisture is an important index of drought monitoring. MODIS data is used in this paper, and temperature vegetation dryness index is obtained by establishing NDVI-Ts character space which inverts surface temperature by using normalized difference vegetation index and split window method, and it does well in spatial distribution of soil moisture, so as to realize the drought moni toring. We monitored the time and space characteristics of drought from the year 2009 January, March and the year 2010 January, A-pril in Yunnan Province. The results show that the scope of the drought occurred is coinciding with the occurrence of the drought; the main area of heavy drought in the distribution is basically consistent. We also used the related research results to test and verify drought monitoring results, and it turned out to be credible and was able to provide a powerful support to decision-making depart-ments.
出处
《中国农村水利水电》
北大核心
2012年第11期136-139,144,共5页
China Rural Water and Hydropower
基金
水利部公益性行业专项(201001044)
云南省教育厅科学研究基金项目(2011Y433)
关键词
干旱
监测
遥感
温度植被干旱指数
drought
monitoring
remote sensing
temperature-vegetation dryness index