预览加载中，请您耐心等待几秒...

基于被动微波遥感的积雪深度和雪水当量反演研究进展.docx

预览
1/2
2/2

在线预览结束，喜欢就下载吧，查找使用更方便

下载提示 文本预览

如果您无法下载资料，请参考说明：

1、部分资料下载需要金币，请确保您的账户上有足够的金币

2、已购买过的文档，再次下载不重复扣费

3、资料包下载后请先用软件解压，在使用对应软件打开

基于被动微波遥感的积雪深度和雪水当量反演研究进展 Title:ResearchProgressonPassiveMicrowaveRemoteSensingforSnowDepthandLiquidWaterContentRetrieval 1.Introduction SnowplaysacrucialroleintheEarth'sclimatesystem,affectingvariouscomponentsofthehydrologicalcycle,energybalance,andecosystemprocesses.Accuratemeasurementsofsnowdepthandliquidwatercontentarevitalforunderstandingtheseprocessesandmanagingwaterresourcesinsnow-dominatedregions.Passivemicrowaveremotesensinghasemergedasapowerfultoolformonitoringsnowcharacteristicsoverlargeareaswithhightemporalresolution.Thispaperreviewstherecentresearchprogressinthefieldofpassivemicrowaveremotesensingforsnowdepthandliquidwatercontentretrieval. 2.PrinciplesofPassiveMicrowaveRemoteSensingforSnowParameters Passivemicrowaveremotesensingutilizesthenaturalmicrowaveemissionsfromthesnowpacktoretrieveinformationaboutitsphysicalproperties.Themicrowaveradiationinteractswithsnowparticles,resultingincharacteristicmicrowavesignaturesthatcanberelatedtosnowdepthandliquidwatercontent.Snowdepthretrievalalgorithmsoftenexploittheinverserelationshipbetweenthemicrowaveemissionbrightnesstemperatureandsnowdepth.Liquidwatercontentretrievalalgorithmsanalyzethechangesintheemissionpropertiesatdifferentfrequenciesandpolarization. 3.SnowDepthRetrieval Variousalgorithmshavebeendevelopedforsnowdepthretrievalusingpassivemicrowaveremotesensing.Thesealgorithmsdifferintheirassumptionsregardingsnowpackproperties,suchassnowdensity,grainsize,andstratigraphy.Forinstance,thetemperature-gradientalgorithmutilizestheverticaltemperaturegradientobservedinthesnowpacktoestimatesnowdepth.TheSnowWaterEquivalentandSnowDepthRetrieval(SNODAS)modelcombinessatellitemeasurementswithgroundobservationstoprovideaccuratesnowdepthestimatesathighspatialresolutions.Otheralgorithmsemploymachinelearningtechniques,suchasartificialneuralnetworks,toimprovetheaccuracyofsnowdepthretrieval. 4.LiquidWaterContentRetrieval Liquidwatercontentinthesnowpackisanimportantparameterforevaluatingthesnowmeltprocesses,runoffgeneration,andav