摘要
农业旱灾是人类面临的最主要的自然灾害之一。利用我国自主研发的FY-3A卫星的MERSI数据计算归一化植被指数(NDVI),将MERSI数据与MODIS数据结合,利用单通道普适算法计算陆地表面温度(LST),将归一化植被指数(NDVI)与陆地表面温度(LST)结合构建NDVI-Ts特征空间,依据该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2009年辽宁西部地区的土壤湿度状况。利用气象站点采样的土壤湿度数据进行验证,发现TVDI与实测土壤湿度数据显著相关,能很好地反映表层土壤湿度。并结合往年作物产量数据进行灾害评估,计算出的作物产量与干旱胁迫下的实际产量的误差在10%以内。表明该方法对辽西地区的作物产量评估具有较好的参考价值。
Agricultural drought is one of the most important natural disasters.This paper calculated the normalized difference vegetation index（NDVI） by the FY-3A satellite′s MERSI data that developed by our country.Combined MERSI data with MODIS data,the paper calculated the land surface temperature（LST）by single channel pervasive algorithm and constructed the NDVI-Ts feature space by combining the normalized difference vegetation index（NDVI） with land surface temperature（LST）,and used the temperature vegetation drought index（TVDI）that was calculated in this space as the monitoring index of soil moisture to inverse the soil moisture in western region of Liaoning in 2009.It found that there were significant correlation between TVDI and the actual measured soil moisture data,it could reflect the surface soil moisture very well,which was proved by the soil moisture data sampled from the meteorological stations.Doing disasters assessment with former,the error between the calculated crops yields and the actual yields under drought stress was less than 10%.This presented that the method had a good reference value for crops yield assessment in western region of Liaoning.
出处
《现代农业科技》
2011年第10期267-270,共4页
Modern Agricultural Science and Technology
