Appraisal of Deforestation in District Mansehra through Sentinel-2 and Landsat Imagery.

G. Nabi, I. S. Kaukab
{"title":"Appraisal of Deforestation in District Mansehra through Sentinel-2 and Landsat Imagery.","authors":"G. Nabi, I. S. Kaukab","doi":"10.33411/IJASD/20190102","DOIUrl":null,"url":null,"abstract":"Forests are the main source of food/wood and are important for a healthy environment. Removal of trees from forested landcover is known as deforestation. The main objective of this study was to estimate temporal variations in forested landcover located in district Mansehra for the years from 2008 to 2018 with two comparative time periods 1) 2008 to 2013 and 2) 2013 to 2018. Results indicates about deforestation in the study area during 2008-2013 and afforestation in 2013-2018. Vegetative landcover was increased from 43.3% to 47.2%. Afforestation at tehsil level showed that the vegetative area in Balakot was increased from 26.6% to 29.8%. Similarly, vegetation index increased from 72.2% to 74.42% in Manshera and 82.7% to 83.5% in Oghi. Kappa coefficient performed well to access accuracy of classified imagery which was maximum for the classified map obtained using Sentinel-2 dataset, therefore, Sentinel-2 imagery was proved more reliable in comparison to Landsat imagery. The spectral responses of various land use classes were also mapped which are useful of other researches to recognize features through optical datasets. Results proved the sincere efforts of Khyber Pakhtunkhwa government in promotion of vegetated landcover. The coverage of KPK project must be enhanced for increasing vegetation for a green Pakistan.","PeriodicalId":337703,"journal":{"name":"International Journal of Agriculture & Sustainable Development","volume":"128 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Agriculture & Sustainable Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33411/IJASD/20190102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Forests are the main source of food/wood and are important for a healthy environment. Removal of trees from forested landcover is known as deforestation. The main objective of this study was to estimate temporal variations in forested landcover located in district Mansehra for the years from 2008 to 2018 with two comparative time periods 1) 2008 to 2013 and 2) 2013 to 2018. Results indicates about deforestation in the study area during 2008-2013 and afforestation in 2013-2018. Vegetative landcover was increased from 43.3% to 47.2%. Afforestation at tehsil level showed that the vegetative area in Balakot was increased from 26.6% to 29.8%. Similarly, vegetation index increased from 72.2% to 74.42% in Manshera and 82.7% to 83.5% in Oghi. Kappa coefficient performed well to access accuracy of classified imagery which was maximum for the classified map obtained using Sentinel-2 dataset, therefore, Sentinel-2 imagery was proved more reliable in comparison to Landsat imagery. The spectral responses of various land use classes were also mapped which are useful of other researches to recognize features through optical datasets. Results proved the sincere efforts of Khyber Pakhtunkhwa government in promotion of vegetated landcover. The coverage of KPK project must be enhanced for increasing vegetation for a green Pakistan.
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
基于Sentinel-2和Landsat图像的Mansehra地区森林砍伐评估。
森林是食物/木材的主要来源,对健康的环境很重要。从森林覆盖的土地上移走树木被称为森林砍伐。本研究的主要目的是利用2008年至2018年两个比较时间段(1)2008年至2013年和2)2013年至2018年,估算Mansehra地区森林土地覆盖的时间变化。结果表明:研究区2008-2013年毁林,2013-2018年造林。植被覆盖由43.3%增加到47.2%。村级造林表明,巴拉科特的植被面积从26.6%增加到29.8%。Manshera的植被指数从72.2%上升到74.42%,Oghi的植被指数从82.7%上升到83.5%。Kappa系数对分类图像的获取精度有很好的影响,其中Sentinel-2数据集获得的分类地图获取精度最高,因此证明了Sentinel-2图像比Landsat图像更可靠。本文还绘制了不同土地利用类型的光谱响应图,为其他研究利用光学数据识别地物提供了参考。结果证明了开伯尔-普赫图赫瓦政府在促进植被覆盖方面的真诚努力。必须扩大肃贪项目的覆盖范围,增加植被,建设绿色巴基斯坦。
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
Dam Site Identification Using Remote Sensing and GIS (A case study Diamer Basha Dam Site) Identification of Potential Sites for Rice Plant Growth using Multi Criteria Decision (MCE) Technique Through Remote Sensing and GIS Antioxidant and Antimicrobial Activity of Fruit Juices Estimation of Wheat Area using Sentinel-1 and Sentinel-2 Datasets (A Comparative Analysis) Step-by-Step Processing of Sentinel-1 data for Estimation of Rice Area.
×
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