本文選題：Landsat　切入點(diǎn)：溫度植被干旱指數(shù)　出處：《干旱區(qū)地理》2017年03期

【摘要】：選用Landsat 8資料構(gòu)建了地表溫度(Ts)與歸一化植被指數(shù)(NDVI)的Ts-NDVI特征空間,計(jì)算了溫度植被干旱指數(shù)(TVDI)。利用MODIS溫度產(chǎn)品數(shù)據(jù)和實(shí)地野外采樣數(shù)據(jù)進(jìn)行精度驗(yàn)證確定煤田火區(qū)TVDI閾值。通過對遙感影像的地表熱異常信息進(jìn)行定性與定量分析繼而對煤田溫度異常區(qū)邊界信息進(jìn)行挖掘。結(jié)果表明:(1)利用野外實(shí)測土壤相對含水量進(jìn)行驗(yàn)證,反演值與實(shí)測值的相關(guān)系數(shù)R~2=0.66,表明干旱指數(shù)的反演精度較高,相關(guān)性較好。(2)TVDI模型對溫度呈現(xiàn)出較高的敏感性,二維散點(diǎn)圖集中在1∶1線上,對NDVI的敏感性較低,有利于識別溫度異常區(qū)。(3)利用MVC最大合成法,建立TVDI-MVC作為精度驗(yàn)證數(shù)據(jù),火區(qū)面積為5.03 km~2,其中TVDI-SC提取火區(qū)精度最大為98.50%,TVDI-SW_2提取火區(qū)精度最小為88.98%�？梢娒禾餃囟犬惓^(qū)范圍較廣,潛在的災(zāi)情惡化較嚴(yán)重。
[Abstract]:Using Landsat 8 data to build the land surface temperature (Ts) and normalized difference vegetation index (NDVI) of the Ts-NDVI feature space, the Temperature Vegetation Drought Index (TVDI) calculated by MODIS. The temperature of product data and field sampling data to verify the accuracy of determining coal fire TVDI threshold. The qualitative and quantitative analysis of the surface thermal anomaly of remote sensing information then the image boundary temperature anomaly information mining coal region. The results showed that: (1) relative water content are verified by the experimental field of soil, the correlation coefficient of R~2=0.66 inversion and the measured value, high inversion precision, the drought index is better4. (2) the TVDI model of temperature shows a higher sensitivity. Scatter plot is concentrated in 1 to 1 line, low sensitivity to NDVI, to identify the temperature anomaly area. (3) using the MVC synthesis method to establish TVDI-MVC as data validation, The fire area is 5.03 km~2, the maximum of 98.50% TVDI-SC extraction precision fire, fire precision TVDI-SW_2 extraction 88.98%. minimum visible coal temperature anomaly in a wide range of potential disaster deterioration is serious.

【作者單位】： 新疆大學(xué)資源與環(huán)境科學(xué)學(xué)院;新疆大學(xué)綠洲生態(tài)教育部重點(diǎn)實(shí)驗(yàn)室;新疆智慧城市與環(huán)境建模普通高校重點(diǎn)實(shí)驗(yàn)室;
【基金】：國家科技支撐計(jì)劃項(xiàng)目資助(2014BAC15B01) 國家自然科學(xué)基金項(xiàng)目(41561089) 2016新疆研究生創(chuàng)新項(xiàng)目(XJGRI2016013)
【分類號】：TD752
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本文編號：1674394