基于多源遙感數(shù)據(jù)的TVDI方法在荒漠草原旱情監(jiān)測的應(yīng)用
發(fā)布時(shí)間:2018-04-11 03:27
本文選題:多源遙感數(shù)據(jù) + 溫度植被干旱指數(shù)。 參考:《安徽農(nóng)業(yè)大學(xué)學(xué)報(bào)》2017年03期
【摘要】:為探討近年來廣泛使用的低空間分辨率的MODIS數(shù)據(jù)以及高空間分辨率的Landast 8數(shù)據(jù)對同一地區(qū)的旱情狀況,選擇內(nèi)蒙古自治區(qū)干旱頻發(fā)的烏審旗荒漠草原為研究區(qū),借助分裂窗算法反演地表溫度(Ts),獲取歸一化植被指數(shù)(NDVI),建立溫度植被干旱指數(shù)(TVDI)的干旱監(jiān)測模型,分別反演MODIS-TVDI和Landast8-TVDI,并與同期野外實(shí)測的不同深度土壤含水量進(jìn)行回歸分析。結(jié)果發(fā)現(xiàn),基于MODIS和Landast8 2種遙感數(shù)據(jù)計(jì)算得到的TVDI與各層的土壤水分線性相關(guān)顯著,兩者都能表征地表的干旱分布,且Landast8-TVDI與各層土壤含水量的相關(guān)性大于MODIS-TVDI與各層土壤含水量的相關(guān)性,其中0~10 cm表層土壤含水量的相關(guān)性要好于0~20 cm、0~30 cm的相關(guān)性。因此Landast8-TVDI能夠更好地反映烏審旗荒漠草原的土壤水分狀況,更適宜于旱情監(jiān)測。
[Abstract]:In order to study the drought situation in the same area with low spatial resolution MODIS data and high spatial resolution Landast 8 data widely used in recent years, Wushenqi desert steppe with frequent drought occurrence in Inner Mongolia Autonomous region was selected as the study area.By using the split window algorithm to retrieve the surface temperature (TsN), the normalized vegetation index (NDVI) was obtained, and the drought monitoring model of the temperature and vegetation drought index (TVDI) was established. The MODIS-TVDI and Landast8-TVDIwere retrieved, respectively, and the regression analysis was carried out with the measured soil water content in different depths in the field during the same period.The results showed that the linear correlation between TVDI and soil moisture in each layer was significant based on MODIS and Landast8 remote sensing data. Both of them could characterize the surface drought distribution.The correlation between Landast8-TVDI and soil water content in each layer was greater than that between MODIS-TVDI and soil water content in each layer, and the correlation of surface soil moisture content in 0 ~ 10 cm layer was better than that of 0 ~ 20 cm ~ (-1) 0 ~ 30 cm soil moisture content.Therefore, Landast8-TVDI can better reflect the soil moisture status of Wushenqi desert steppe, and is more suitable for drought monitoring.
【作者單位】: 內(nèi)蒙古農(nóng)業(yè)大學(xué)水利與土木建筑工程學(xué)院;
【基金】:內(nèi)蒙古自治區(qū)自然科學(xué)基金(2015MS0513) 內(nèi)蒙古自治區(qū)科技計(jì)劃項(xiàng)目(20140153) 內(nèi)蒙古自治區(qū)水利科技項(xiàng)目(NSK201403)共同資助
【分類號(hào)】:S812.1;TP79
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