高分二号卫星影像在变色松树遥感监测中的应用

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中图分类号：S763.18 文献标志码：A 文章编号：2096-9902（2025）12-0006-05

Abstract：Pinewiltdisease，causedbypinewoodnematode（Bursaphelenchusxylophilus），isadevastating forestdiseasethat posesseverethreatstoforestecosystemsThisstudyaimstoapplyGF-2sateliteimageryformonitoringdiscoloredpinetrees andevaluateitsefectivenessbyestablishingadeplearning-basedmonitoringsystemtoenhancetimelinessandacuracy. IntegratingGF-2sateliteremotesensingdatawithUAVaerialimagery，monitoringexperimentswereconductedinGuangning County，Guangdong Province.Imageprocessngtechniques，including Gram-Schmidt（GS）fusionandthe GreenNormalized DiferenceVegetation Index（GNDVI），significantlyimprovedthecontrastbetweendiscoloredpinetreesandtheirbackground. Using adeep learning algorithm for discolored pine tree extraction，the method achieved a precision of 94.65% ，recall of 83.30% andF1-score of 88.61% .The results demonstrate that the GF-2-based identification method ofers high accuracy and can provide reliable data support for precise monitoring of pine wilt disease.

Keywords：pine wilt disease;remote sensing;GF-2;image fusion;evaluation

松材线虫病是我国森林生态系统面临的重大生物威胁之一，对森林资源造成了严重损害。（剩余6384字）