| 东莞市针叶类森林生物量遥感模型研究 |
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| 引用本文： | 阮兰君,杨燕琼. 东莞市针叶类森林生物量遥感模型研究[J]. 广东林业科技, 2018, 34(1): 32-36 |
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| 作者姓名： | 阮兰君 杨燕琼 |
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| 作者单位： | 华南农业大学林学与风景园林学院 广东 广州 华南农业大学林学与风景园林学院,华南农业大学林学与风景园林学院 广东 广州 华南农业大学林学与风景园林学院 |
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| 摘 要： | 基于 Landsat 8 影像数据，对东莞市松树林 (Pinus sp.)、杉木林 (Cunninghamia lanceolata)、针叶混交林 3 种针叶类森林生物量进行估算，利用相关分析、主成分分析和逐步回归分析，建立针叶类森林生物量遥感估算模型，其决定系数 (R2) 值分别为 0.880 9、 0.832 5、 0.964 0，均达显著水平。经适用性检验，模型均达 0.05 显著水平，可用于东莞市针叶类森林生物量估算。
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| 关 键 词： | 遥感；针叶林；森林生物量；回归分析 |
| 收稿时间： | 2017-08-02 |
| 修稿时间： | 2017-09-11 |
The Study on the Remote Sensing Model of Dongguan Conifer Forest Biomass |
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| RUAN Lanjun and YANG Yanqiong. The Study on the Remote Sensing Model of Dongguan Conifer Forest Biomass[J]. Forestry Science and Technology of Guangdong Province, 2018, 34(1): 32-36 |
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| Authors: | RUAN Lanjun and YANG Yanqiong |
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| Affiliation: | College of Forestry and Landscape Architecture,South China Agriculture University,Guangdong,College of Forestry and Landscape Architecture,South China Agriculture University |
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| Abstract: | Based on Landsat 8 image data, this paper estimates the biomass of three coniferous forest inDongguan, including Pinus forest, Cunninghamia lanceolata and coniferous mixed forest . By using correlationanalysis, principal component analysis and stepwise regression, a remote sensing estimation model of coniferousforest biomass was established, and its determining coefficient (R2) value were 0.880 9, 0.832 5 and 0.964 0respectively, which reached a significant level. The applicability test showed that the model reached 0.05significant levels and could be used for estimating the biomass of coniferous forest in Dongguan. |
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| Keywords: | remote sensing coniferous forest forest biomass regression analysis |
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