[1]施明辉,赵翠薇,郭志华,等.基于GIS和改进BP神经网络的天然白桦林健康评价[J].水土保持研究,2011,18(04):237-240.
　SHI Ming-hui,ZHAO Cui-wei,GUO Zhi-hua,et al.Assessment on Health of Natural Betula platyphylla Forest Based on GIS and BP Neural Networks[J].Research of Soil and Water Conservation,2011,18(04):237-240.
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基于GIS和改进BP神经网络的天然白桦林健康评价

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 18 期数: 2011年04期 页码: 237-240 栏目: 出版日期: 2011-08-20
Title:
Assessment on Health of Natural Betula platyphylla Forest Based on GIS and BP Neural Networks
作者:
施明辉1,2, 赵翠薇1, 郭志华2, 刘世荣3
1. 贵州师范大学地理与环境科学学院, 贵阳 550001;
2. 中国林业科学研究院湿地研究所, 北京 100091;
3. 中国林业科学研究院, 北京 100091
Author(s):
SHI Ming-hui1,2, ZHAO Cui-wei1, GUO Zhi-hua2, LIU Shi-rong3
1. College of Geography and Environmental Science, Guizhou Normal University, Guiyang 550001, China;
2. Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China;
3. Chinese Academy of Forestry, Beijing 100091, China
关键词:
GIS; 改进BP神经网络; 天然白桦林; 健康评价; 长白山; 两江林场
Keywords:
GIS; improved BP neural network; natural Betula platyphylla forest; health assessment; Changbai mountains; Liangjiang forest farm
分类号:
S718.55+7;TP79
摘要:
结合样地调查及白桦林生态系统相关数据，基于GIS技术平台，利用改进BP神经网络模型，对长白山白河林业局两江林场进行健康评价。利用改进BP神经网络研究复杂的森林生态系统健康状况具有强大优势，运用Leven-berg-Marquardt优化算法比传统的BP神经网络及其它改进算法迭代次数少，收敛速度快，精确度高。评价结果显示：两江整个林场的森林大体处于一般健康状态，占总面积22.43%的白桦林属于非常健康状态，49.93%的白桦林处于一般健康状态，19.06%的白桦林为亚健康状态，而只有8.59%的白桦林是不健康的。其评价结果可为森林可持续经营和多功能利用提供理论支撑。
Abstract:
On the bases of sample investigation and related ecosystem data collected by others, assessment on forest health of Liangjiang Forest Farm in Changbai Mountains was performed by the GIS platform and the improved BP neural network model. Improved BP neural network has great advantages in solving the complex forest ecosystem. Using Levenberg-Marquardt algorithm was effective than the traditional BP and some other improved methods, while it could converge much quickly and has high accuracy. Evaluation results show that the total area of 22.43% of Natural Betula platyphylla forest is very healthy, 49.93% of that is healthy, 19.06% of that is sub-healthy, while only 8.59% of which is unhealthy. The main purpose of this paper is to provide a solid theoretical support for forest health management and multifunctional use of forests.

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备注/Memo

收稿日期:2010-11-27;改回日期:2011-3-5。
基金项目:林业公益行业专项重大项目（200804001）；林业公益项目（201104006，201104072）；国家“十一五” 科技支撑计划项目（2006BAD03A0406）
作者简介:施明辉（1985- ），男，福建三明人，硕士，研究方向为土地评价与土地规划、森林健康评价。E-mail：shiminghui_2003@163.com
通讯作者:郭志华（1965- ），男，四川仁寿人，研究员，主要从事植被遥感、景观生态、生态环境监测与评价、湿地资源管理等研究。E-mail：guo_zhi_hua@126.com

更新日期/Last Update: 1900-01-01