Sentinel-2遥感影像在天山北坡乔木林地上碳储量估算中的应用

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中图分类号：S771.8 文献标识码：A文章编号：0439-8114（2025）06-0190-07DOI：10.14088/j.cnki.issn0439-8114.2025.06.032开放科学（资源服务）标识码（OSID）

Application of Sentinel-2 remote sensing imagery in aboveground carbon storage estimation ofarboreal forestsintheNorthSlopeof TianshanMountains

ZHAO Bing-jie，GAO Peng-yuan，WANG Chun-bo， ZHAO Wei-chang，ZUO Wei-kun， LIANGDai-song，SI Lei （Geophysical Survey Teamof HebeiProvinceCoalfieldGeology Bureau（Hebei Coal Underground Gasification Research Center）， Xingtai 054000，Hebei，China）

Abstract：ToexplorethepotentialofSentinel-2forestimatingabovegroundcarbonstorageinarborealforestsontheNorthSlopeof TianshanMountains，apilotstudywasconductedusingSentinel-2remotesensingimageryfrom2O21andquadratsurveydata.Bntegratingspectralinformation，vegetationindices，texturalfeatures，andtopogaphicfactors，optimalvariablesweresrendusing mean residual sum of squares （ RMS ），akaike informationcriterion（ .AIC ），andadjusted coefficient of determination （R2-adjust）. Both thepartialleastsquaresregresionmodelandtherobustestimationmodelweredeveloped，withtheiraccuracyevaluatedthroughthe coefficient of determination （R2）， root mean square error （ E⋅RMS ），relative root mean square eror（ ERRMS ），and bias （ bbias ）. The results showed that 22 highly significant remote sensing factors （ P<0.01 ）were extracted from Sentinel-2 remote sensing imagery data，with 7 modelingfactorsultimatelyselectedthroughvariableoptimization.Thesefactorscoveredthreecategories：Spectral information （band11，band12，band4，band5），vegetationindices（NDVI，RVI），and textural features（b11-Mean）.Boththepartial least squaresregresionmodelandrobustestimationmodeldemonstratedhighpredictiveaccuracyandreliability，withtheformeutper formingthelater.TheresultsindicatedthestrongpliabilityofSentinel-2forabovegroundcarbonstorageestimationinrboealfor ests on the North Slope of Tianshan Mountains.

Keywords：Sentinel-2；remotesensingimager；arborealforests；abovegroundcarbonstorage；partialleastsquaresregresino bust estimation;the North Slope of Tianshan Mountains

随着全球气候变化日益加剧，大气中二氧化碳浓度和气温不断升高，增强陆地生态系统固碳能力成为应对气候变化的重要途径[1]。（剩余8418字）