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Soil moisture and vegetation water content estimation using two drought monitoring index

机译:利用两个干旱监测指标估算土壤水分和植被含水量

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The vegetation supply water index (VSWI) and temperature-vegetation dryness index (TVDI) are modified by normalized difference water index (NDWI), then the soil moisture and vegetation water content are estimated based on VSWI, TVDI, modified VSWI and modified TVDI. Firstly, the vegetation index (VI) including normalized difference vegetation index (NDVI), normalized difference water index (NDWI) and enhanced vegetation index (EVI) are derived using TM and MODIS imagery, secondly, the land surface temperature(Ts) is retrieved for TM imagery and download for MODIS, finally, VSWI and TVDI are evaluated based on VI and Ts. We make use of VSWI and TVDI to estimate soil moisture and vegetation water content, the results show that vegetation water content estimated by VSWI and TVDI is better than VI; soil moisture and vegetation water content estimated by VSWI and TVDI which evaluated based on NDWI are better, EVI takes second place and NDVI comes next; The TM imagery has a better estimation accuracy than MODIS because of the higher resolution. It is useful to soil moisture estimation, vegetation water content estimation and dryness monitor using VSWI and TVDI modified by NDWI.
机译:利用归一化差水指数(NDWI)对植被供水指数(VSWI)和温差干度指数(TVDI)进行修正,然后根据VSWI,TVDI,修正后的VSWI和修正后的TVDI对土壤水分和植被含水量进行估算。首先,利用TM和MODIS图像推导植被指数(VI),包括归一化植被指数(NDVI),归一化水分指数(NDWI)和增强植被指数(EVI),其次,获取地表温度(Ts)对于TM图像,对于MODIS下载,最后,基于VI和T对VSWI和TVDI进行了评估。利用VSWI和TVDI估算土壤水分和植被含水量,结果表明VSWI和TVDI估算的植被含水量优于VI。由VSWI和TVDI估算的土壤水分和植被含水量更好,基于NDWI进行评估,EVI位居第二,NDVI位居第二。由于分辨率较高,因此TM影像的估算精度比MODIS更好。使用由NDWI修改的VSWI和TVDI,可用于土壤湿度估算,植被含水量估算和干燥度监测。

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