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热红外遥感监测土壤含水量模型及其应用.docx

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热红外遥感监测土壤含水量模型及其应用 Abstract Soilmoistureisakeyvariableinmanyenvironmentalandagriculturalsystems.Theavailabilityanddistributionofsoilmoistureisacriticalfactorforplantgrowth,waterbalanceandhydrologicalprocesses.Remotesensingtechnologyplaysanincreasinglyimportantroleinsoilmoisturemonitoring,asitprovidesaquickandcost-effectiveapproachtocoverlargeareas.Inthispaper,wereviewthedifferentapproachesandmodelsusedforremotesensingofsoilmoistureandtheirapplications.Inparticular,wefocusonthethermalinfraredremotesensingtechnology,itsrelatedprinciplesandthedevelopmentofthermalinfraredremotesensingmodelsforsoilmoistureestimation.Wealsoexplorethecurrentlimitationsandchallengesinsoilmoistureestimationusingthermalinfrareddataanddiscusspossiblefutureresearchdirections. Introduction Soilmoistureisafundamentalenvironmentalparameterthataffectsawiderangeofecosystems,includingagriculture,forestry,hydrology,andmeteorology.Itisanimportantfactorindeterminingtheavailabilityofwaterforplants,theinfiltrationcapacityofsoils,thecompositionofthesoilmicroorganismcommunity,andthetransportofpollutantsandnutrients.Therefore,accuratemonitoringofsoilmoistureiscrucialforbothscientificunderstandingandpracticalapplications. Traditionalsoilmoisturemeasurementtechniques,suchassoilsampling,gravimetricmethods,andtime-domainreflectometry(TDR),areoftentime-consuming,laborious,andexpensive,makingthemimpracticalforlarge-scalesoilmoisturemonitoring.Remotesensingtechnology,ontheotherhand,providesaquickandcost-effectiveapproachtocoverlargeareasfromadistance.Avarietyofopticalandmicrowaveremotesensingtechniqueshavebeenusedforsoilmoisturemonitoring,includingvisible/near-infrared(VNIR),shortwaveinfrared(SWIR),thermalinfrared(TIR),andmicrowaveremotesensing.Amongthem,TIRremotesensingtechniqueshavebecomeincreasinglypopularforsoilmoisturemonitoringduetotheirrelativestability,wavelengthstability,andsensitivitytosoilmoisturecontent. Inthispaper,wefocusonthedevelopmentofTIRremotesensingmodelsforsoilmoistureestimation.Asthethermalinf