| 基于ALOS数据的巨尾桉蓄积量遥感估测——以广西平南县为例 |
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| 引用本文： | 刘庭威,曾明宇,旦增.基于ALOS数据的巨尾桉蓄积量遥感估测——以广西平南县为例[J].中南林业调查规划,2011,30(4). |
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| 作者姓名： | 刘庭威 曾明宇 旦增 |
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| 作者单位： | 1. 国家林业局中南林业调查规划设计院,长沙,410014
2. 西藏自治区林业调查规划研究院,拉萨,850000 |
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| 摘 要： | 蓄积量是森林资源监测的一项重要指标，蓄积量遥感估测一直是林业遥感研究的重要内容。本文采用ALOS数据为遥感信息源，以广西自治区平南县优势树种巨尾桉为研究对象，分析选取影响巨尾按蓄积量估测主要的遥感信息和地理信息因子，结合郁闭度实地调查因子，建立了巨尾桉蓄积量估测模型，模型精度达91．18％。
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| 关 键 词： | 巨尾按 蓄积量 遥感估测 模型 |
The Remote Sensing Estimation Model of Eucalyptus grandis × E. urophylla Stock Volume Based on ALOS Data --Taking Pingnan county of Guanxi Province as an Example |
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| LIU Tingwei,ZENG Mingyu,DAN Zeng.The Remote Sensing Estimation Model of Eucalyptus grandis × E. urophylla Stock Volume Based on ALOS Data --Taking Pingnan county of Guanxi Province as an Example[J].Central South Forest Inventory and Planning,2011,30(4). |
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| Authors: | LIU Tingwei ZENG Mingyu DAN Zeng |
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| Institution: | LIU Tingwei1,ZENG Mingyu1,DAN Zeng2 (1.Central South Forest Inventory and Planning Institute of State Forestry Administration,Changsha 410014,Hunan,China,2.Forest Inventory and Planning Institute of Tibet Autonomous Region,Lhasa 850000,Tibet,China) |
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| Abstract: | The stock volume is an important indicator in forest resources monitoring, how to estimate forest stock volume by remote sensing had been an important part of remote sensing study. In this paper, the main dependent variables of remote sensing and geographic information which influencing stock volume estimation of Eucalyptus grandis × E. urophylla were analyzed in Pingnan county of Guanxi province, then the estimation model of Eucalyptus grandis × E. urophylla stock volume was established based on ALOS data combined with the crown density, the prediction precision was 91.18%. |
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| Keywords: | Eucalyptus grandis × E urophyUa stock volume remote sensing estimation model |
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