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采用2011年5月28日MODIS多时间尺度数据产品和土壤相对含水量RSM数据,对河北省多时间尺度Ts-EVI特征空间旱情遥感监测的差异性进行了研究,结果表明:1多时间尺度Ts-EVI特征空间的TVDI与土壤表层RSM具有较高的相关性,1 d尺度Ts和1 d、8 d尺度EVI构建的RSM-TVDI决定系数较高,8 d尺度的Ts和8d、16 d尺度EVI的RSM-TVDI决定系数较低。2多时间尺度Ts-EVI特征空间的旱情监测结果在空间分布上具有较好的一致性,但其面积存在一定的差异;旱情监测应用中Ts-EVI特征空间构建应首选1 d时间尺度的Ts和EVI,其次是1 d尺度的Ts和8 d尺度的EVI,再次为8 d尺度的Ts和8 d尺度的EVI。
Based on MODIS multi-time-scale data and RSM data of soil moisture on May 28, 2011, the difference of remote sensing monitoring of Ts-EVI feature space drought in Hebei Province was studied. The results show that: 1 multi-time scale Ts There was a high correlation between TVDI and soil surface RSM in the EVI feature space. The RSM-TVDI coefficients established by the 1-d scale Ts and the 1-d and 8-day scale EVIs were higher, and the 8-day-scale Ts and 8d- The EVI’s RSM-TVDI decision factor is low. 2 The drought monitoring results of Ts-EVI feature space in multi-time scale have good consistency in spatial distribution, but there are some differences in the area of Ts-EVI feature space. Ts-EVI feature space construction in drought monitoring application should choose Ts And EVI, followed by Ts of 1 d scale and EVI of 8d scale, again Ts of 8d scale and EVI of 8d scale.