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基于GEE云平台的2005-2017年云南省森林覆盖变化监测
引用本文:李微,岳彩荣.基于GEE云平台的2005-2017年云南省森林覆盖变化监测[J].西北林学院学报,2022,37(5):182-187.
作者姓名:李微  岳彩荣
作者单位:(西南林业大学 林学院,云南 昆明 650000)
摘    要:以云南省为研究区,探究云南省2005-2017年间土地及森林覆盖情况及动态变化分析,为云南森林保护及生态环境建设提供参考依据。利用Google Earth Engine平台在大区域分类研究中的优势,选取2005、2010年和2017年3期的Landsat系列影像作为主要数据源,采用随机森林方法,监测研究区内土地及森林覆盖空间分布、动态变化及转移情况。得到总体精度分别为75.55%、75.33%和83.42% 3期影像分类结果。结果表明,森林总面积分别为2 006.19×104hm2、2 015.77×104hm2和2 067.21×104hm2,占到研究区总面积的52.30%、52.55%和53.88%。研究期内云南省森林面积总体呈增长趋势。

关 键 词:GEE  土地覆盖分类  随机森林

 A GEE Based Survey on the Changes in Forest Coverage in Yunnan Province
LI Wei,YUE Cai-rong. A GEE Based Survey on the Changes in Forest Coverage in Yunnan Province[J].Journal of Northwest Forestry University,2022,37(5):182-187.
Authors:LI Wei  YUE Cai-rong
Institution:(Institute of Forestry,Southwest Forestry University,Kumming 650224,Yunnan,China)
Abstract:Taking Yunnan Province as the study area,this paper explored the situation and dynamic changes of land and forest coverage in the province from 2005 to 2017,so as to provide reference for forest protection and ecological environment construction in the province.Based on the advantages of Google Earth Engine in the classification of large regions,Landsat series images in 2005,2010 and 2017 were selected as the main data sources,and the random forest method was adopted to monitor the spatial distribution,dynamic changes and transfer of land and forest coverage in the study area.The overall accuracies of the three different time phases image classification were 75.55%,75.33%,and 83.42%,respectively.The total forest areas of the three years were 2.061 9,2 015.77 million hm2,and 20.672 1 million hm2,respectively,accounting for 52.30%,52.55%,and 53.88% of the total area of the study area.During the study period,the total forest area in Yunnan Province showed an increasing trend.
Keywords:GEE  Land cover classification  random forest
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