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当前位置: 首页 > 文章 > 东南亚国家森林资源年度遥感监测设计——以印度尼西亚为例 林业资源管理 2018 (3) 113-120
Position: Home > Articles > Design of Annual National Forest Resources Remote Sensing Monitoring System in Southeast Asia Countries——Taking Indonesia as an Example Forest Resources Management 2018 (3) 113-120

东南亚国家森林资源年度遥感监测设计——以印度尼西亚为例

作  者：
刘谦;张煜星;王雪军;王少杰;杨英;I Nengah Suratijaya;Dewayany Sutrisno;Ita Carolita
单  位：
国家林业局调查规划设计院;北京林业大学林学院;印度尼西亚遥感协会;茂物农业大学林学院;印度尼西亚航空航天研究院
关键词：
印度尼西亚;样地布设;变动系数;抽样精度;森林资源监测
摘  要：
基于2010年全球30m土地覆盖数据(Global Land30),按1°×1°或0.5°×0.5°经纬度间隔,在印度尼西亚布设分别为145个和604个网格的样地,对比分析2套抽样间隔下不同样地面积大小的森林面积估算的变动系数和精度大小,优选最佳的遥感大样地布设方案。采用样地调查法,产出森林面积的估计值。结果表明:1)从森林面积总体变动系数、抽样精度以及调查工作量综合考虑,按0.5°×0.5°经纬度抽样间隔系统布设4km×4km的大样地,为最优选方案;2)以印尼加里曼丹地区监测数据进行的森林面积监测精度验证表明,森林面积监测平均精度为94.89%,到达国家和区域尺度的森林面积监测精度要求。
译  名：
Design of Annual National Forest Resources Remote Sensing Monitoring System in Southeast Asia Countries——Taking Indonesia as an Example
作  者：
LIU Qian;ZHANG Yuxing;WANG Xuejun;WANG Shaojie;YANG Ying;I Nengah Suratijaya;Dewayany Sutrisno;Ita Carolita;Academy of Forest Inventory and Planning,SFA;College of Forestry,Beijing Forestry University;Faculty of Forestry,Bogor Agriculture University;Indonesian Society For Remote Sensing;Indonesian National Institute of Aeronautics and Space;
关键词：
Indonesia;;plot layout;;coefficient of variation;;sampling precision;;forest resources monitoring
摘  要：
Based on 30 m global land cover data in 2010( GlobalLand30),145 and 604 grids are laid separately within Indonesia at 1° x 1° and 0. 5°×0. 5° interval respectively. The coefficient of variation and precision of estimated forest area for 10 different size of plots by two different grid spacing are compared and analyzed. The optimized remote sensing large plots layout in Indonesia is selected based on analysis results. Meanwhile, ground survey plots are established to conduct precision verification. The result shows : 1) large plot with the size of 4 km ×4 km at 0. 5°×0. 5° spacing interval is the optimized sampling plan with consideration of coefficient of variation and precision as well as workload. 2) taking Kalimantan Indonesia part as the demonstration site to verify the precision of forest area derived from the large plots layout. The verificaion result shows that the average precision of forest area monitoring is 94. 89% using0. 5° x0. 5° grid interval and 4 km x 4 km design. The precision meets the national and regional requirement on forest area monitoring.

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