30-year changes of natural forests under human activities in the Indochina peninsula - case studies in Cambodia, Laos and Vietnam

IF 2.4 Q2 GEOSCIENCES, MULTIDISCIPLINARY VIETNAM JOURNAL OF EARTH SCIENCES Pub Date : 2021-06-22 DOI:10.15625/2615-9783/16196
Duong Nguyen Dinh, Cam Lai Vinh
{"title":"30-year changes of natural forests under human activities in the Indochina peninsula - case studies in Cambodia, Laos and Vietnam","authors":"Duong Nguyen Dinh, Cam Lai Vinh","doi":"10.15625/2615-9783/16196","DOIUrl":null,"url":null,"abstract":"Natural forests are a basic component of the earth's ecology. It is essential for biodiversity, hydrological cycle regulation, and environmental protection. Natural forests are gradually degraded and reduced due to timber logging, conversion to cropland, production forests, commodity trees, and infrastructure development. Decreasing natural forests results in loss of valuable habitats, land degradation, soil erosion, and imbalance of water cycle on the regional scale. Thus, operational monitoring of natural forest cover change has been in the interest of scientists for a long time. Current forest mapping methods using remotely sensed data provide limited capability to separate natural forests and planted forests. Natural forest statistics are often generated using official forestry national reports that have different bias levels due to different methodologies applied in different countries in forest inventory. Over the last couple of decades, natural forests have been over-exploited for various reasons. This led to forest cover degradation and water regulation capability, which results in extreme floods and drought of a watershed in general. This situation demands an urgent need to develop a fast, reliable, and automated method for mapping natural forests. In this study, by applying a new method for mapping natural forests by Landsat time series, the authors succeeded in mapping changes of natural forests of Cambodia, Laos, and Vietnam from 1989 to 2018. As a focused study area, three provinces: Ratanakiri of Cambodia, Attapeu of Laos, and Kon Tum of Vietnam were selected. The study reveals that after 30 years, 51.3% of natural forests in Ratanakiri, 27.8% of natural forests in Attapeu, and 50% of natural forests in Kon Tum were lost. Classification results were validated using high spatial resolution imagery of Google Earth. The overall accuracy of 99.3% for the year 2018 was achieved.","PeriodicalId":23639,"journal":{"name":"VIETNAM JOURNAL OF EARTH SCIENCES","volume":" ","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"VIETNAM JOURNAL OF EARTH SCIENCES","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15625/2615-9783/16196","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 1

Abstract

Natural forests are a basic component of the earth's ecology. It is essential for biodiversity, hydrological cycle regulation, and environmental protection. Natural forests are gradually degraded and reduced due to timber logging, conversion to cropland, production forests, commodity trees, and infrastructure development. Decreasing natural forests results in loss of valuable habitats, land degradation, soil erosion, and imbalance of water cycle on the regional scale. Thus, operational monitoring of natural forest cover change has been in the interest of scientists for a long time. Current forest mapping methods using remotely sensed data provide limited capability to separate natural forests and planted forests. Natural forest statistics are often generated using official forestry national reports that have different bias levels due to different methodologies applied in different countries in forest inventory. Over the last couple of decades, natural forests have been over-exploited for various reasons. This led to forest cover degradation and water regulation capability, which results in extreme floods and drought of a watershed in general. This situation demands an urgent need to develop a fast, reliable, and automated method for mapping natural forests. In this study, by applying a new method for mapping natural forests by Landsat time series, the authors succeeded in mapping changes of natural forests of Cambodia, Laos, and Vietnam from 1989 to 2018. As a focused study area, three provinces: Ratanakiri of Cambodia, Attapeu of Laos, and Kon Tum of Vietnam were selected. The study reveals that after 30 years, 51.3% of natural forests in Ratanakiri, 27.8% of natural forests in Attapeu, and 50% of natural forests in Kon Tum were lost. Classification results were validated using high spatial resolution imagery of Google Earth. The overall accuracy of 99.3% for the year 2018 was achieved.
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
中南半岛人类活动下的30年天然林变化——以柬埔寨、老挝和越南为例
天然林是地球生态的基本组成部分。它对生物多样性、水循环调节和环境保护至关重要。天然林由于木材采伐、转为耕地、生产林、商品树和基础设施发展而逐渐退化和减少。天然林的减少导致宝贵栖息地的丧失、土地退化、土壤侵蚀和区域尺度上水循环的不平衡。因此,长期以来,对自然森林覆盖变化的操作监测一直是科学家们感兴趣的问题。目前使用遥感数据的森林制图方法在区分天然林和人工林方面能力有限。天然林统计数据通常是利用官方林业国家报告编制的,由于不同国家在森林清查中采用不同的方法,这些报告的偏差程度不同。在过去的几十年里,由于各种原因,天然林被过度开发。这导致森林覆盖退化和水调节能力下降,从而导致流域一般出现极端洪涝和干旱。这种情况迫切需要开发一种快速、可靠、自动化的天然林测绘方法。本研究采用一种新的Landsat时间序列天然林制图方法,成功绘制了1989 - 2018年柬埔寨、老挝和越南的天然林变化图。选取柬埔寨腊塔纳基里省、老挝阿达坡省和越南昆土省作为重点研究区域。研究表明,30年后,Ratanakiri天然林的51.3%、Attapeu天然林的27.8%和Kon Tum天然林的50%消失了。利用谷歌地球高空间分辨率影像对分类结果进行验证。2018年总体准确率达到99.3%。
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
VIETNAM JOURNAL OF EARTH SCIENCES
VIETNAM JOURNAL OF EARTH SCIENCES GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
3.60
自引率
20.00%
发文量
0
期刊最新文献
Effects of drought on enzyme activities and hotspot distribution along plant roots Geotechnical properties of natural sand-mixed granulated blast furnace slag applied to the sand compaction pile method Faecal contamination and its relationship with some environmental variables of four urban rivers in inner Hanoi city, Vietnam Prediction of hotspots pattern in Kalimantan using copula-based quantile regression and probabilistic model: a study of precipitation and dry spells across varied ENSO conditions Radiological risk assessment and characteristics of 210Po in selected water sources in Quang Nam and Da Nang, Vietnam
×
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