globalchange  > 气候变化与战略
CSCD记录号: CSCD:5150557
论文题名:
Landsat卫星图像用于大面积森林扰动监测的研究进展
其他题名: Progress of researches on monitoring large-area forest disturbance by Landsat satellite images
作者: 祝善友; 张莹; 张海龙; 曹云; 张桂欣
刊名: 国土资源遥感
ISSN: 1001-070X
出版年: 2014
卷: 26, 期:2, 页码:102-108
语种: 中文
中文关键词: 森林扰动 ; 遥感 ; 监测 ; 进展
英文关键词: Landsat ; forest disturbance ; remote sensing ; Landsat ; monitoring ; progress
WOS学科分类: FORESTRY
WOS研究方向: Forestry
中文摘要: 自然因素和人为原因使不同程度的森林扰动现象频繁发生,对森林资源管理、气候变化等产生了重要影响。在全球变暖的大背景下,大面积森林扰动监测及其影响已成为目前国内外研究的热点与前沿问题之一,Landsat系列卫星是最为常用的一类数据。在深入分析国内外相关方法的基础上,综述了Landsat卫星图像用于大面积森林扰动遥感监测的研究进展,主要方法包括全地面覆盖制图、抽样方法和与较低空间分辨率图像复合方法3大类,并对比分析了这些方法的优缺点,最后对未来可能的研究方向做出了展望。
英文摘要: The frequent forest disturbance caused by natural factors and human activities has very important effects on forest resources management, climate change and some other fields. Under the background of global warming, researches on forest disturbance monitoring and its corresponding influence have become one of the hot topics both in China and abroad. Based on a detailed analysis of the previous studies, this paper has reviewed the progress of monitoring methods for the large-area forest disturbance by using Landsat satellite imagery, which mainly include wall- to - wall mapping, sampling mapping and data fusion with the image of low spatial resolution. The advantages and disadvantages of these methods as well as the possible research prospects in the future are also dis-cussed.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/147863
Appears in Collections:气候变化与战略

Files in This Item:

There are no files associated with this item.


作者单位: 南京信息工程大学遥感学院, 南京, 江苏 210044, 中国

Recommended Citation:
祝善友,张莹,张海龙,等. Landsat卫星图像用于大面积森林扰动监测的研究进展[J]. 国土资源遥感,2014-01-01,26(2):102-108
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[祝善友]'s Articles
[张莹]'s Articles
[张海龙]'s Articles
百度学术
Similar articles in Baidu Scholar
[祝善友]'s Articles
[张莹]'s Articles
[张海龙]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[祝善友]‘s Articles
[张莹]‘s Articles
[张海龙]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.