智慧农业（中英文）SmartAgricultureVol.3,No.2
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WUY,JIANGQ,MENGY,etal.Assessmentofim‐辽宁省春玉米干旱灾损风险评估[J].干旱地区农业
pactofirrigationindifferentclimaticregionsof研究,2020,38(6):218-225.
Shaanxiprovinceonriskofwinterwheatyieldreduc‐YANGF,ZHENGQ,LIW,etal.Riskassessmentof
tionunderclimatechange[J].JiangsuAgriculturalSci‐droughtdamageofspringmaizeinLiaoningprovince
ences,2021,49(10):213-222.basedonWOFOSTmodel[J].AgriculturalResearchIn
[88]刘维,侯英雨,吴门新.基于WOFOST模型的2014年TheAridAreas,2020,38(6):218-225.
河南省干旱对夏玉米产量的预估[J].中国农学通报,[90]王治海,刘建栋,刘玲,等.基于遥感信息的区域农业
2016,32(36):146-151.干旱模拟技术研究[J].水土保持通报,2013,33(5):
LIUW,HOUY,WUM.Estimateofdroughteffecton96-100.
summermaizeyieldbasedonWOFOSTmodelinWANGZ,LIUJ,LIUL,etal.Regionalagro-drought
HenanProvincein2014[J].ChineseAgriculturalSci‐simulationbasedonremotesensingtechnology[J].Bul‐
enceBulletin,2016,32(36):146-151.letinofSoilandWaterConservation,2013,33(5):
[89]杨霏云,郑秋红,李文科,等.基于WOFOST模型的96-100.
ProgressofAgriculturalDroughtMonitoringandForecasting
UsingSatelliteRemoteSensing
HANDong,WANGPengxin,ZHANGYue,TIANHuiren,ZHOUXijia
（CollegeofInformationandElectricalEngineering,ChinaAgriculturalUniversity,Beijing100083,China）
Abstract:Agriculturaldroughtisamajorfactorthataffectsagriculturalproduction.Traditionalagriculturaldroughtmonitoring
ismainlybasedonmeteorologicalandhydrologicaldata,andalthoughitcanprovidemoreaccuratedroughtmonitoringresults
atthepointlevel,therearestilllimitationsinmonitoringagriculturaldroughtattheregionalscale.Therapiddevelopmentofre‐
motesensingtechnologyhasprovidedanewmeanofmonitoringagriculturaldroughtsattheregionalscale,especiallysincethe
electromagneticwavelengthssensedbysatellitesensorsinorbitnowcovervisible,near-infrared,thermalinfraredandmicro‐
wavewavelengths.Itisimportanttomakefulluseoftherichsurfaceinformationobtainedfromsatelliteremotesensingdata
foragriculturaldroughtmonitoringandforecasting.Thispaperdescribedtheresearchprogressofagriculturaldroughtmonitor‐
ingbasedonsatelliteremotesensingfromthreeaspects:remotesensingindex-basedmethod,soilwatercontentmethodand
cropwaterdemandmethod.Theresearchprogressofagriculturaldroughtmonitoringbasedonremotesensingindex-based
methodwaselaboratedfromfiveaspects:vegetationdroughtindex,temperaturedroughtindex,integratedvegetationandtem‐
peraturedroughtindex,waterdroughtindexandmicrowavedroughtindex;theresearchprogressofagriculturaldroughtmoni‐
toringbasedonsoilwatercontentmethodwaselaboratedfromtwoaspects:soilwatercontentretrievalbasedonvisibletother‐
malinfrareddataandsoilwatercontentretrievalbasedonmicrowavedata;theresearchprogressofagriculturaldroughtmoni‐
toringbasedoncropwaterdemandmethodwaselaboratedfromtwoaspects:agriculturaldroughtmonitoringbasedoncropcan‐
opywatercontentretrievalmethodandcropgrowthmodelmethod.Agriculturaldroughtforecastingisatimelineprediction
basedondroughtmonitoring.Basedonthesummaryoftheprogressofdroughtmonitoring,theresearchprogressofagricultural
droughtforecastingbythedroughtindexmethodandthecropgrowthmodelmethodwasfurtherbrieflydescribed.Theexisting
agriculturaldroughtmonitoringmethodsbasedonsatelliteremotesensingweresummarized,anditsshortcomingsweresorted
out,andsomeprospectswereputforward.Inthefuture,differentremotesensingdatasourcescanbeusedtocombinedeep
learningmethodswithcropgrowthmodelsandbasedondataassimilationmethodstofurtherexplorethepotentialofsatellitere‐
motesensingdatainthemonitoringofagriculturaldroughtdynamics,whichcanfurtherpromotethedevelopmentofsmartagri‐
culture.
Keywords:satellite;remotesensing;agriculturaldrought;cropgrowthmodel;monitor;forecast
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