农业旱情遥感监测的一种改进方法及其应用

应用生态学报

农业旱情遥感监测的一种改进方法及其应用

郑有飞^1**,程晋昕¹,吴荣军¹,关福来²,姚树然²

(¹南京信息工程大学环境科学与工程学院, 南京 210044; ^2河北省气象科学研究所, 石家庄 050021 )

出版日期:2013-09-18 发布日期:2013-09-18

An improved method and its application for agricultural drought monitoring based on remote sensing.

ZHENG You-fei¹, CHENG Jin-xin¹, WU Rong-jun¹, GUAN Fu-lai², YAO Shu-ran²

(¹College of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China; ^2Hebei Institute of Meteorological Science, Shijiazhuang 050021, China)

Online:2013-09-18 Published:2013-09-18

摘要/Abstract

摘要： 从地表蒸散的角度出发,利用基于Priestley-Taylor公式与地表温度植被指数(LST-VI)三角形特征空间的半经验蒸散模型，对农业干旱遥感监测方法进行改进,推导得到简化型蒸散胁迫指数(SESI).利用2008、2009年3—11月的MODIS陆地标准产品数据,构造了3种特征空间建模计算了SESI,对京津冀平原地区开展了农业旱情监测试验,并与温度植被干旱指数(TVDI)进行比较.结果表明: SESI有效地简化了基于地表蒸散估算的遥感干旱监测方法,对土壤表层水分(10、20 cm)有着良好的指示作用.该方法春、秋季监测效果优于夏季,且不同时相SESI的可比性优于TVDI.将SESI指数应用于大面积农业旱情连续监测具有一定可行性.

Abstract: From the viewpoint of land surface evapotranspiration, and by using the semi-empirical evapotranspiration model based on the Priestley-Taylor equation and the land surface temperature-vegetation index (LST-VI) triangle algorithm, the current monitoring technology of agricultural drought based on remote sensing was improved, and a simplified Evapotranspiration Stress Index (SESI) was derived. With the application of the MODIS land products from March to November in 2008 and 2009, the triangle algorithm modeling with three different schemes was constructed to calculate the SESI to monitor the agricultural drought in the plain areas of Beijing, Tianjin, and Hebei, in comparison with the Temperature Vegetation Dryness Index (TVDI). The results showed that SESI could effectively simplify the remote sensing drought monitoring method, and there was a good agreement between SESI and surface soil (10 and 20 cm depth) moisture content. Moreover, the performance of SESI was better in spring and autumn than in summer, and the SESI during different periods was more comparable than TVDI. It was feasible to apply the SESI to the continuous monitoring of a large area of agricultural drought.

郑有飞1**,程晋昕1,吴荣军1,关福来2,姚树然2. 农业旱情遥感监测的一种改进方法及其应用[J]. 应用生态学报.

ZHENG You-fei1, CHENG Jin-xin1, WU Rong-jun1, GUAN Fu-lai2, YAO Shu-ran2. An improved method and its application for agricultural drought monitoring based on remote sensing.[J]. Chinese Journal of Applied Ecology.