基于随机森林分类的塞罕坝机械林场生态环境质量研究

打开文本图片集

文章编号：1674-6139（2025）06-0189-06

中图分类号：X171文献标志码：B

Ecological Environment Quality Analysis of Saihanba Mechanical ForestFarm BasedonRandom ForestClassification

Shi Wenbing1，Liu Liyuan²，Liu Yaping³

（1.Hebei Saihanba Machinery ForestFarmForestry Surveyand Planning Design Institute，Shijiazhuang O5oO21，China； 2.Emergency Material Supply Center of Hebei Province，Shijiazhuang O50021，China； 3.Chengde Weichang County Guangfayong Township Government，Shijiazhuang O5o021，China）

Abstract：Acordingtoteeqremetsofologicalnviometconstructioforestsourcesplaanimportantoleinrotecting environmentalqualityTesudyadoptsaclasificationstemofremotesensingimagesandvegetationindicestoanalyzethtrespis clasificationmethodandecologicalenvironmentindexofShanbaMechanicalForestFarm.Bycomparingthclasificationidicatos andecologicalenvironmentindex，theoverallaccuracyoftherandomforestclasificationmthodinidentifying treespeciesis 89.67% ， and combined with field resources，the area accuracy of white birch is 97.73% .For the analysis of environmental ecological quality，the remotesensingecologicalindexmodelwasusedtoevaluatethedominanttrespecies，anditwasfoundthatthecologicalindexofoak trees reached its highest value of O.73O9 at an elevation of 1300m～1500m ．Therefore，this indicates that the random forest classification methodhashighaccuracyinanalyzingtheecologicalenvironmentqualityofforestfarms，andprovidesreliabledataforthedevelopent and protection of forest resources.

Keywordsfstouesotalpote；aooi；otesiaes；olocalvtalty

前言

随着全球经济的飞速发展，环境污染问题日益严重，森林资源的开发和保护已成为当前生态环境的重要关注内容[1]。（剩余5996字）