摘要
植被指数和地表温度是描述地表特征的两个重要参数,基于遥感植被指数和地表温度信息进行区域地表水分状况等陆表变化过程研究,是目前遥感和陆表过程研究中的前沿方向。利用MODIS数据产品MOD13A2和MOD11A2获取的归一化植被指数(NDVI)和地表温度(Ts),构建Ts-NDVI特征空间,依据该特征空间计算的温度植被干旱指数(TVDI)作为土壤湿度监测指标,反演了黄淮海平原2004年冬小麦4～5月份和夏玉米7～10月份每16d的土壤湿度,并经相应的土壤湿度数据验证。结果表明:TVDI与土壤湿度显著相关(α=0.05),且反演的黄淮海平原土壤湿度的时空分布特征与农作物生育期规律、生长季总降雨量分布规律基本吻合;特别是0～10cm、10～20cm、20～40cm三个土层中,TVDI更能稳定反映和指示地表10～20cm土壤水分状况,因而TVDI方法适用于黄淮海平原作物生长季的土壤湿度动态监测。
Vegetation index （VI） and land surface temperature （LST） are two important parameters in describing land surface characteristics. Regional land surface water condition research by combining remotely sensed VI and LST is a promising field in land surface process research by remote sensing. Every 16-day composite MODIS NDV1 product MOD13A2 and every 8-day composite MODIS temperature product MOD11A2 were combined to construct Ts-NDVI space from which TVDI （Temperature-Vegetation Dryness Index） was obtained. Every 16-day soil moisture from April to May and fi＇om July to October in the HHH plain was retrieved by using TVDI as an indicator in monitoring soil moisture. When validated using soil moisture by field measurements simultaneously with Terra MODIS satellite, TVDI was correlated to soil moisture significantly （α =0.05）. The spatial pattern and temporal evolution in TVDI had been analyzed by using the remote sensing information, crop phenological development and precipitation data. The temporal evolution of retrieved soil moisture was consistent with crop phenotogical development and spatial distribution of retrieved soil moisture accorded with the distribution of precipitation during the whole crop growing season. Among soil depths of 0 - 10 cm,10 - 20 cm,20 - 40 cm, TVDI could reflect the variation in soil moisture of 10 - 20 cm depth in the HHH plain more effectively. TVDI method was feasible to monitor soil moisture dynamically during crop growing season in the HHH plain.
出处
《土壤通报》
CAS
CSCD
北大核心
2009年第5期998-1005,共8页
Chinese Journal of Soil Science
基金
国家自然科学基金资助项目(30270776)
中国气象局风云气象卫星遥感开发与应用示范项目"风云三号气象卫星遥感信息在生态与农业气象中的应用"(FiDAF-1-03)资助
