南方集体林区典型毛竹经营区林分质量遥感量化研究  

Using Remote Sensing to Conduct Quantitative Study on the Quality of Typical Moso Bamboo Management Area in Southern Collective Forest Area

作　　者：林丽丽 郝振帮[1,3] 戴姗霖 杨柳青 刘健 余坤勇 LIN Lili;HAO Zhenbang;DAI Shanlin;YANG Liuqing;LIU Jian;YU Kunyong(University Key Lab for Geomatics Technology and Optimize Resources Utilization in Fujian Province,Fuzhou 350002;College of Arts,College of Landscape Architecture,Fujian Agriculture and Forestry University,Fuzhou 350002;College of Forestry,Fujian Agriculture and Forestry University,Fuzhou 350002)

机构地区：[1]3S技术与资源优化利用福建省高等学校重点实验室,福州350002 [2]福建农林大学艺术学院园林学院,福州350002 [3]福建农林大学林学院,福州350002

出　　处：《林业资源管理》2019年第6期84-90,共7页Forest Resources Management

基　　金：“十三五”国家重点研发计划(2018YFD0600100)

摘　　要：以福建省顺昌县大干镇的2017年SPOT-7数据为基础,获取同期地面调查基础数据,通过主成分分析提取响应毛竹林分质量变化的植被复合指数,结合植被净初级生产力(NPP)、干扰指数,采用层次分析法构建基于遥感数据源的林分质量评价模型,开展毛竹经营质量的量化评价。结果表明:基于SPOT所构建的毛竹林分质量与平均胸径、毛竹林分龄级具有相关性;评价结果与地面样地调查的林分质量进行拟合,决定系数R2为0.757,总平均精度达83.29%,具有一致性;研究区各乡镇毛竹林分质量整体情况为干山村>乡林场>土垄村>良坊村>武坊村。整体表明,通过遥感数据的转换与挖掘,结合地形因子、植被净初级生产力和干扰指数,可实现南方集体林区毛竹资源经营成效的有效监测。Based on the SPOT-7 remote sensing image of Dagan town,Shunchang county,Fujian province in 2017,and the data of ground survey of the same period were obtained.In this paper,the main indicators responding to the change of stand quality of Moso bamboo were extracted through principal component analysis.Then combined with the net primary productivity(NPP)and interference index,an evaluation model of stand quality was constructed by analytic hierarchy process(AHP)to quantify the management quality of Moso bamboo.The results showed that the stand quality evaluation of Moso bamboo forest based on SPOT remote sensing image was correlated with mean DBH and stand density.The evaluation results were fitted with the stand quality evaluation in field sample plot survey.The coefficient of determination R 2 was 0.757,and the total average accuracy was 83.29%,which indicated that the study was consistent.The overall stand quality of Moso bamboo in villages is Ganshan village>Xianglinchang>Tulong village>Liangfang village>Wufang village.The results show that using the conversion and mining of remote sensing data,combined with topographic factor,net primary productivity of vegetation and interference index,it can effectively monitor the management effect of Moso bamboo resources in southern collective forest area.

关 键 词：毛竹 林分质量 遥感 地形因子 植被指数 

分 类 号：S757.2[农业科学—森林经理学] S771.8[农业科学—林学]