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基于遥感数据的森林水源涵养估测研究
引用本文:张堡宸 胡建荣 李新军 赵敏. 基于遥感数据的森林水源涵养估测研究[J]. 中国农学通报, 2014, 30(1): 98-102. DOI: 10.11924/j.issn.1000-6850.2013-2092
作者姓名:张堡宸 胡建荣 李新军 赵敏
作者单位:1. 吉林省白山市湾沟林业局2. 吉林省永吉县林业局
摘    要:森林水源涵养是森林生态功能的重要指标,测定森林的水源涵养量能很直观地了解森林资源的生态价值,能够为确定森林资源保护措施与经营策略提供有力的数据支持。以吉林省柳河县为研究区,以Landsat-5 TM遥感影像为基础数据,提取相关因子,根据样地实测数据建立森林水源涵养遥感估测模型,经过精度检验,模型的预测精度达到79.24%。利用模型进行了柳河县森林水源涵养量反演,得出柳河县森林水源涵养量为4.62×106 m3。形成柳河县森林水源涵养量分布图,并从空间上分析了森林水源涵养能力与空间要素的关系。

关 键 词:高寒区  高寒区  免耕  松耕  翻耕  土壤容重  
收稿时间:2013-08-05
修稿时间:2013-09-04

Estimation and Research of Forest Water Conservation Based on Remote Sensing
Zhang Baochen;Hu Jianrong;Li Xinjun;Zhao Min. Estimation and Research of Forest Water Conservation Based on Remote Sensing[J]. Chinese Agricultural Science Bulletin, 2014, 30(1): 98-102. DOI: 10.11924/j.issn.1000-6850.2013-2092
Authors:Zhang Baochen  Hu Jianrong  Li Xinjun  Zhao Min
Affiliation:Zhang Baochen;Hu Jianrong;Li Xinjun;Zhao Min;Wangou Forest Bureau of Baishan City in Jilin Province;Yongji Forest Bureau of Jilin Province;
Abstract:Forest water conservation is an important indicator of the state of the forest ecological function, the estimation of the volume can be a very effective way of understanding the ecological value of forest resources, and the data support for the determination of management strategy for the forest resources. The author chose Liuhe County in Jilin Province as the study area, and extracted relevant factors to establish the model of remote sensing estimation of forest water conservation volume in Liuhe County based on Landsat-5 TM remote sensing image data. It showed that: the prediction accuracy of the model was 79.24%, after precision test. From the distribution map of the forest growing stock of Liuhe, as a result of the inversion of the model, it showed that the forest stock volume was 4.62×106 m3. The distribution of forest water conservation quantity Liuhe Country was formed for analysis of the relationship between ability of water conservation forest in space and spatial elements.
Keywords:estimation model
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