[1]郭晓清,郑粉莉,万培余.基于多期遥感影像的森林资源动态监测研究——以延安市桥北林业局直罗林场为例[J].水土保持研究,2011,18(06):46-50.
　GUO Xiao-qing,ZHENG Fen-li,WAN Pei-yu.Dynamic Monitoring on Forest Resources Based on Multi-period Remote Sensing Image -Taking Zhiluo Forest Farm in Yan’an City as an Example[J].Research of Soil and Water Conservation,2011,18(06):46-50.
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基于多期遥感影像的森林资源动态监测研究——以延安市桥北林业局直罗林场为例

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 18 期数: 2011年06期 页码: 46-50 栏目: 出版日期: 2011-12-20
Title:
Dynamic Monitoring on Forest Resources Based on Multi-period Remote Sensing Image -Taking Zhiluo Forest Farm in Yan’an City as an Example
作者:
郭晓清1, 郑粉莉1,2, 万培余3
1. 西北农林科技大学, 资源与环境学院, 陕西, 杨凌 712100;
2. 中国科学院, 水利部, 水土保持研究所, 陕西, 杨凌 712100;
3. 陕西省林业调查规划院, 西安 710082
Author(s):
GUO Xiao-qing1, ZHENG Fen-li1,2, WAN Pei-yu3
1. College of Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China;
2. Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100, China;
3. Shaanxi Forestry Inventory & Planning Institute, Xi’an 710082, China
关键词:
遥感影像; 图像分割; 森林资源; 动态监测
Keywords:
remote sensing image; image segmentation; forest resources; dynamic monitor
分类号:
S757.2
摘要:
通过研究森林资源动态变化状况以及与人类活动的关系，为进一步优化当地景观分布格局提供依据。以研究区为例，以1990年、2000年和2005年的TM/ETM+影像为数据源，将3期影像叠加进行图像分割，检测出3期内土地类型发生了变化的敏感区域，结合GIS技术得到该区土地类型图，分析了其动态变化情况。结果表明：通过多期遥感影像进行图像分割，可以检测出土地利用类型发生变化的敏感区域，结合GIS空间分析，能有效地监测各种土地利用的变化及趋势，且使判读精度得到较大提高，图斑正确率为86.8%，解译的森林面积精度达到92.3%。在1990-2000年研究区有林地面积增加了1.17%，2000-2005年增加了14.2%。在15 a间，其它林地(疏林地、未成林地、灌木林地)、草地、农地分别减少28.77%，29.89%，8.90%。受国家退耕还林工程和天然林保护工程实施的影响，该区的土地利用/覆被类型及其面积发生了显著变化，景观斑块布局处于优化过程。
Abstract:
The dynamic change of the forest resources and the relation with human activities were studied in order to provide evidence for landscape pattern optimization. This research was based on remote sensing image segment to monitor forest resources dynamic change. Landsat TM/ETM+ images of year 1990, 2000 and 2005 were taken as the data sources. Sensitive areas were detected and land use/cover change in 1990, 2000 and 2005 were analyzed by GIS. The results showed that sensitive areas of land use/cover change could be detected by multi-period remote sensing image segment. High accuracy was achieved to monitor the change and changing trend of land-use type with GIS spatial analysis. The method could reduce the work intensity, save the cost and improve work efficiency greatly. Forest area(canopy density above 0.2) has increased by 1.17% between 1990 and 2000 and 14.2% between 2000 and 2005. Other woodland(thin stocked land, afforestation for undeveloped forest, shrub), grassland and farmland decreased by 28.77%, 29.89% and 8.90%, respectively. Affected by the project of conversion of cropland into forestland and grassland and the project of natural forest protection, the type and area of land use/cover of this area have changed significantly, and landscape composition has turned to optimization.

参考文献/References:

[1] Qiao Y, Wang Y, Tang J. Study of remote sensing monitoring of dynamic change of the Loess Plateau forest resources[J]. Advances in Space Research, 2004, 33:302-306.
[2] 陈雪峰, 黄国胜, 夏朝宗, 等.全球森林资源评估方法与启示[J].林业资源管理, 2005, 8(4):24-29.
[3] 吕春花, 郑粉莉, 安韶山.子午岭地区植被演替过程中土壤养分及酶活性特征研究[J].干旱地区农业研究, 2009, 27(2):227-232.
[4] 唐克丽, 王斌科, 郑粉莉, 等.黄土高原人类活动对土壤侵蚀的影响[J].人民黄河, 1994(2):13-16.
[5] 米登山, 蒋定生, 刘明信, 等.近几年子午岭森林破坏情况及其影响[J].水土保持通报, 1982, 2(5):48-49.
[6] 秦娟, 王凯博, 上官周平.子午岭林区山杨林、辽东栎林及其混交林植物多样性的变化[J].西北农林科技大学学报:自然科学版, 2007, 35(5):131-140.
[7] 张希彪, 上官周平.黄土丘陵区主要林分生物量及营养元素生物循环特征[J].生态学报, 2005, 5(8):872-877.
[8] 徐萍, 徐天蜀.森林资源动态监测技术综述[J].云南大学学报, 2007, 29(S1):251-254.
[9] 孟京辉, 陆元昌, Kleinn C, 等.基于遥感的景观格局时空动态研究[J].西北林学院学报, 2010, 25(1):207-211.
[10] 蒋学玮, 周正立, 李凯荣, 等.景观生态学原理在流域规划中的应用[J].西北林学院学报, 2003, 18(2):112-115.
[11] 周成虎, 骆剑成.高分辨率卫星遥感影像地学计算[M].北京:科学出版社, 2009:95-97.
[12] 赵鹏祥, 强建华, 张会儒, 等.基于遥感的黄土高原天然林林地信息提取及计算机分类研究[J].西北农林科技大学学报:自然科学版, 2006, 34(10):75-80.
[13] 彭道黎, 赵永泉.基于RS的河北沽源县土地利用动态监测研究[J].西北林学院学报, 2009, 24(2):152-156.
[14] 刘建平, 赵时英.高光谱遥感数据解译的最佳波段选择方法研究[J].中国科学院研究生院学报, 1999, 16(2):153-161.
[15] 陆灯盛.TM图像信息量分析及特征信息提取的研究[J].遥感学报, 1991, 6(4):267-274.
[16] Qin Y, Peng G. Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery[J]. Photogrammetric Engineering and Remote Sensing, 2006, 72(7):799-811.
[17] Ouma Y O, Josaphat S S, Tateishi R. Multiscale remote sensing data segmentation and post-segmentation change detection based on logical modeling: Theoretical exposition and experimental results for forestland cover change analysis[J]. Computers & Geosciences, 2008, 34:715-737.
[18] 常庆瑞, 蒋平安, 周勇, 等.遥感技术导论[M].北京:科学出版社, 2004:235-241.
[19] 赵英时.遥感分析原理与方法[M].北京:科学出版社, 2003:202-207.

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备注/Memo

收稿日期:2011-6-23;改回日期:2011-7-11。
基金项目:国家重点基础研究发展计划项目(2007CB407201)
作者简介:郭晓清(1983- )，男，陕西富平人，硕士研究生，主要从事GIS设计与数字制图研究。E-mail：gxtsing@sina.com
通讯作者:郑粉莉(1960- )，女，陕西蓝田人，研究员，博士生导师，主要从事水土保持与土壤侵蚀研究。E-mail：flzh@ms.iswc.ac.cn

更新日期/Last Update: 1900-01-01