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

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

ID:37954709

大小:2.23 MB

页数:11页

时间:2019-06-03

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1、应用生态学报摇2013年9月摇第24卷摇第9期摇摇摇摇摇摇摇摇摇摇摇摇摇摇摇摇摇摇摇摇摇摇摇摇摇摇摇摇摇摇ChineseJournalofAppliedEcology,Sep.2013,24(9):2608-2618*农业旱情遥感监测的一种改进方法及其应用1**1122郑有飞摇程晋昕摇吴荣军摇关福来摇姚树然12(南京信息工程大学环境科学与工程学院,南京210044;河北省气象科学研究所,石家庄050021)摘摇要摇从地表蒸散的角度出发,利用基于Priestley鄄Taylor公式与地表温度鄄植被指数(LST鄄VI)三角形特征空间的半经验蒸散模型,对农

2、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、20cm)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.关键词摇干旱监测摇蒸散摇三角算法摇简化型蒸散胁迫指数文章

3、编号摇1001-9332(2013)09-2608-11摇中图分类号摇S16;TP79摇文献标识码摇AAnimprovedmethodanditsapplicationforagriculturaldroughtmonitoringbasedonre鄄1112motesensing.ZHENGYou鄄fei,CHENGJin鄄xin,WURong鄄jun,GUANFu鄄lai,YAOShu鄄21ran(CollegeofEnvironmentalScienceandEngineering,NanjingUniversityofInformationS

4、cience2&Technology,Nanjing210044,China;HebeiInstituteofMeteorologicalScience,Shijiazhuang050021,China).鄄Chin.J.Appl.Ecol.,2013,24(9):2608-2618.Abstract:Fromtheviewpointoflandsurfaceevapotranspiration,andbyusingthesemi鄄empiricalevapotranspirationmodelbasedonthePriestley鄄Tayloreq

5、uationandthelandsurfacetemperature鄄vegetationindex(LST鄄VI)trianglealgorithm,thecurrentmonitoringtechnologyofagriculturaldroughtbasedonremotesensingwasimproved,andasimplifiedEvapotranspirationStressIndex(SESI)wasderived.WiththeapplicationoftheMODISlandproductsfromMarchtoNovember

6、in2008and2009,thetrianglealgorithmmodelingwiththreedifferentschemeswasconstructedtocal鄄culatetheSESItomonitortheagriculturaldroughtintheplainareasofBeijing,Tianjin,andHe鄄bei,incomparisonwiththeTemperatureVegetationDrynessIndex(TVDI).TheresultsshowedthatSESIcouldeffectivelysimpl

7、ifytheremotesensingdroughtmonitoringmethod,andtherewasagoodagreementbetweenSESIandsurfacesoil(10and20cmdepth)moisturecontent.Moreover,theperformanceofSESIwasbetterinspringandautumnthaninsummer,andtheSESIduringdif鄄ferentperiodswasmorecomparablethanTVDI.ItwasfeasibletoapplytheSES

8、Itothecontinuousmonitoringofalargeareaofagriculturaldr

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