Time-series analysis of rainforest clearing in Sabah, Borneo using Landsat imagery

K. Johansen, K. Johansen
{"title":"Time-series analysis of rainforest clearing in Sabah, Borneo using Landsat imagery","authors":"K. Johansen, K. Johansen","doi":"10.1109/MULTI-TEMP.2011.6005102","DOIUrl":null,"url":null,"abstract":"Tropical forests are being cleared at alarming rates. The release of the Landsat image archive represents an opportunity to assess rainforest clearing over time through time-series analysis. The objective was to map the extent of rainforest clearing and assess land cover trends at the object level within a selected study area in Sabah, Borneo using Landsat images from 1991, 2000, 2004 and 2008. The images were delineated based on image interpretation cues and validated against existing high spatial resolution images on Google Earth. Overall mapping accuracies were >94%. Time-series trends for each delineated object were classified into trend classes to quantify the land cover history per object. The results showed that approximately 31% or 5,500 km2 of land cover within the study area changed between 1991 and 2008. This research presents an effective method for time-series analysis that can be used to regularly monitor forest clearing on Borneo.","PeriodicalId":254778,"journal":{"name":"2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MULTI-TEMP.2011.6005102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Tropical forests are being cleared at alarming rates. The release of the Landsat image archive represents an opportunity to assess rainforest clearing over time through time-series analysis. The objective was to map the extent of rainforest clearing and assess land cover trends at the object level within a selected study area in Sabah, Borneo using Landsat images from 1991, 2000, 2004 and 2008. The images were delineated based on image interpretation cues and validated against existing high spatial resolution images on Google Earth. Overall mapping accuracies were >94%. Time-series trends for each delineated object were classified into trend classes to quantify the land cover history per object. The results showed that approximately 31% or 5,500 km2 of land cover within the study area changed between 1991 and 2008. This research presents an effective method for time-series analysis that can be used to regularly monitor forest clearing on Borneo.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用陆地卫星图像对婆罗洲沙巴雨林砍伐的时间序列分析
热带森林正以惊人的速度被砍伐。陆地卫星图像档案的发布提供了一个机会,通过时间序列分析来评估一段时间内的雨林砍伐情况。目的是利用1991年、2000年、2004年和2008年的陆地卫星图像,在婆罗洲沙巴选定的研究区域内绘制热带雨林砍伐的范围,并评估目标水平上的土地覆盖趋势。这些图像是基于图像解释线索圈定的,并与谷歌地球上现有的高空间分辨率图像进行了验证。总体制图精度为bb0 94%。每个圈定目标的时间序列趋势被划分为趋势类,以量化每个目标的土地覆盖历史。结果表明:1991 - 2008年,研究区土地覆盖面积发生了31%(约5500 km2)的变化。本研究提出了一种有效的时间序列分析方法,可用于定期监测婆罗洲的森林砍伐情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Monitoring a fuzzy object: The case of Lake Naivasha Greenland inland ice melt-off: Analysis of global gravity data from the GRACE satellites Effects of multitemporal scene changes on pansharpening fusion Quantification of LAI interannual anomalies by adjusting climatological patterns Analysis of LULC changes and urban expansion of the resort city of Al Ain using remote sensing and GIS
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1