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机构地区:[1]四川省气候中心,成都610071
出 处:《中国农业气象》2008年第2期217-220,共4页Chinese Journal of Agrometeorology
摘 要:基于遥感资料的干旱监测方法具有范围广、时空分辨率高等特点,已在日常业务中发挥作用。目前一般使用热惯量法和植被供水指数法进行遥感干旱监测,但都受到一定客观条件的制约。本文以陆面温度-植被盖度为基础,使用2006年8月上旬NOAA17资料,经过滤云处理,构建陆面温度-植被盖度特征空间,建立旱边、湿边方程,计算干旱指数,结合地面观测分析结果,确定干旱等级,然后使用ENVI4.0遥感分析软件,制作干旱遥感监测专题图。与地面干旱监测结果比较后发现,上述方法得出的干旱遥感监测结果与地面实况监测结果基本吻合,说明该方法在日常干旱监测业务中具有一定的实用性。Drought is a usual natural disaster. Remote sensing has been widely used to monitor the drought. In contrast with immediate satellite images, drought monitoring is always difficult. Thermal inertia and vegetation supply water index approach were widely applied in drought remote sensing monitoring at present, but the results were restricted at a certain extent by external conditions. Based on the land surface temperature-veg- etation coverage (T-VC) method, the NOAA/AVHRR data during the first ten days of August 2006 was processed for sieving cloud to establish T-VC feature space, and equations of drought line and wet line, and to calculate the drought index. Combined with the surface observational da- ta, drought level was determined. The thematic map of the drought remote sensing monitoring was mapped by using ENVI 4.0. The results showed that the monitoring consequence of the T - VC almost corresponded to the local observed monitoring results. The method was practical in the drought monitoring routine.
分 类 号:S423[农业科学—植物保护] X831[环境科学与工程—环境工程]
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