基于遥感参数特征空间的福建省干旱监测

归一化植被指数(NDVI)和地表温度(LST)是描述地表特征的两个重要参数,通过新型的MODIS卫星数据反演得到NDVI和LST,采用基于NDVI-IST特征空间的条件植被温度指数(VTCI)模型,对2001-2002年福建省发生的严重秋冬春连续干旱灾害进行了监测验证,并利用气象观测数据对VTCI模型临测结果进行了分析.研究结果表明:VTCI模型能够真实地反映地表水分供应状况,能较好地反映区域旱情分布和旱情发展过程,VTCI值越小表示干旱灾害越严重.当旬的VTCI平均值与前一旬的降水量有着较高的相关性,利用VTCI模型能够近实时进行干旱监测,具有较高的业务化应用前景.

Remote sensing parameters feature space-based drought monitoring in Fujian

Both the normalized difference vegetation index(NDVI)and land surface temperature(LST)are two important parameters for describing the characteristic of land surface.Using MODIS new sensor data,the NDVI and LST parameters were reversed,the vegetation temperature condition index(VTCI)model based on NDVI-LST feature space was applied to validating a series of drought disaster which occurred in Fujian Province during the autumn,winter and spring in 2001-2002 and the monitored values by the model were compared with the meteorological observation data.The results show that the VTCI model would truly describe the moisture supply of land surface and reflect distribution and development trend of drought condition that the more small the value of VTCI,the more serious the drought disaster.There is a high correlation between the average VTCI value for current ten days and the precipitation for anterior ten days,so that the VTCI model would be a near-real time drought monitoring approach.