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作 者:张红卫[1,2] 陈怀亮[1] 周官辉 赵百胜 高正庆
机构地区:[1]河南省气象科学研究所,郑州450003 [2]新乡市气象局,河南新乡453000
出 处:《科技导报》2009年第11期23-26,共4页Science & Technology Review
基 金:“十一五”国家科技支撑计划项目(2006BAD04B01);风云三号卫星遥感开发与应用项目(20070806-FiDAFS-1-01);河南省气象局重点科研项目(Z2008019,Z200806);新乡市科技项目(08S79)
摘 要:土壤水分含量及植被生长状态是重要的干旱指数,对土壤及植被的正确光谱解译是判断土壤及植被干旱程度的重要依据之一。本研究利用MODIS传感器中通道2(860nm)波段被植被冠层强烈吸收性、通道6(1640nm)和通道7(2 130nm)对土壤与植被水分含量吸收差异敏感性,构建了归一化多波段干旱指数(NMDI),验证了归一化多波段干旱指数在河南省应用的效果与可能性。研究发现,0-50cm深度的土壤墒情与NMDI显著相关。在对0~50cm层次的土壤墒情进行监测时,可以采用NMDI方法。分别对其进行F检验,均通过α=0.01显著性检验。同时,该指数在高植被覆盖区的应用效果有待进一步验证。Soil moisture and vegetation status are the most important and direct index for drought. The interpreting to vegetation and spectrum analysis of soil are two important elements in the judgment of drought. Based on strong absorption in channel 2 (860 nm) of MODIS sensor by regetation canopy and channel 6 (1 640 nm) and channel 7 (2 130 nm) sensitivity to soil and vegetation water content absorption difference, the study constructed a Normalized Multi-band Drought Index (NMDI). The potential had been confirmed with the application in different time-series MODIS data. The results showed that there was a significant correlation between NMDI and soil moisture, the index adopted the significant tests with α=0.01. So the method of NMDI could be used in Henan drought monitoring. However, the index of NMDI application to areas with moderate vegetation coverage, needs further investigation.
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