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为了研究利用我国自主产权极轨卫星风云三号(FY-3)的MERSI数据反演区域土壤水分的效果,该文利用MERSI数据分别提取归一化植被指数(NDVI)和陆地表面温度并构建NDVI-Ts特征空间;依据该特征空间计算温度植被干旱指数(TVDI)作为土壤湿度监测指标,反演了2012年乌昌地区4—9月的土壤湿度。从反演结果看乌昌地区2012年4—5月土壤湿度较低,造成农区农作物不同程度的缺水,这与实际旱情监测相一致。研究结果表明:基于MERSI数据的TVDI指数能够较好地反映区域土壤湿度的变化情况,为今后应用风云三号数据进行干旱监测提供参考。
In order to study the effect of regional soil moisture using MERSI data of FY-3 with independent property right in China, this paper uses the MERSI data to extract normalized NDVI and land surface temperature respectively and construct NDVI -Ts feature space. Based on this feature space, temperature TVDI was used as a monitoring indicator of soil moisture, and the soil moisture in April-September in Wuchang area was retrieved. From the inversion results, the soil moisture in April and May of 2012 in Wuchang area is low, resulting in different degrees of water shortage in agricultural areas, which is consistent with the actual drought monitoring. The results show that the TVDI index based on MERSI data can better reflect the change of soil moisture in the region and provide a reference for future application of the data of Fengyun 3 to monitor the drought.