森林储量遥感估测的不确定性研究进展

中图分类号：S771.8 文献标志码：A 文章编号：1673-923X（2026）02-0001-12

Abstract：Thereeforestees，melyforestvlue，iomassandbonstoageareimportantidiatorsformotogfoet resourcesatmultiplelevels，andalsoimportantparametersrefectingtequalityandproductivityofforestcoystems.Remotessing estimationofforestreservesisnotadirectmeasurementprocessbutratherreliesonthepredictivemodelestablisedbetweenremote sensingvarablesdldmeasedestsesItrentlylesnyourcsofoandertaintydgling constraints，measurementiacuacies，esorseesolutioncstrants，atmospericonditionvartios，modelseletio parameterestimationuncertaintySystematicallyidentifing，quantifyingandcontrollngtheseerrorsiscrucialforenhancingthe acuracyandeliabilityofremotesensingestimationofforestreserves.Therefore，thispaperanalyzesuncertaintiesinremotessingbasedestimationofforesteseesfromtreeaspects：foresinventoryamplesemotesensingdatasources，andestimatiomodels. Furthermoreiusssdprospetsetdsfootoldetaitatatioinestsesiatisstdy ishelpfultodeplyunderstandtheuncertaintysouresinemotesensingestimationofforestreseesandcanprovideaeferecefor improvingthepsionofrestseeralsellasfoiingaegiesfofestsouemongndnt

Keywords：forestreserves;remotesensing estimation;uncertainty sources;error control;measurementmethod

全球变暖的加剧使得陆地生态系统在全球碳循环中的作用愈发重要。（剩余33101字）