基于卫星影像的菲律宾Palay-Palay Mataas-Na-Gulod保护区土地覆盖变化检测与分析

IF 0.4 Q4 MULTIDISCIPLINARY SCIENCES Mindanao Journal of Science and Technology Pub Date : 2023-06-23 DOI:10.61310/mndjstecbe1213.23
Mitsui Chin Sen A. Yu, Jan Joseph V. Dida
{"title":"基于卫星影像的菲律宾Palay-Palay Mataas-Na-Gulod保护区土地覆盖变化检测与分析","authors":"Mitsui Chin Sen A. Yu, Jan Joseph V. Dida","doi":"10.61310/mndjstecbe1213.23","DOIUrl":null,"url":null,"abstract":"Several studies have already proven the existence of unsustainable human activities or disturbances assumed to cause land cover change on the Mts. Palay-Palay Mataas-Na-Gulod Protected Landscape (MPPMNGPL)in the Philippines. However, there is a dearth of published works on how these disturbances affect the different land cover classes in this protected landscape. This study aimed to help fill such information gap by investigating the extent of land cover changes and potentially disturbed forest areas inside the MPPMNGPL. Using geographic information system and remote sensing, classified maps were produced from Sentinel-2 and Landsat-8 images through supervised classification. The study described the land cover types and land cover changes in the area from 2015 to 2021 and identified potentially disturbed forest areas using the normalized difference moisture index (NDMI). The land cover classes identified in the area included forest, grassland, built-up, barren land and water. From 2015 to 2021, the largest land cover change came from the 510.92 ha of forest area in Ternate that turned into a grassland area as reflected in the NDMI result – an indicator of potential forest disturbance. Change detection showed that from 2015 to 2021, the grassland area had an increase of +14.05%, while the forest area had a decrease of -13.8%. Results showed that forest is still the most dominant land cover class in the protected landscape. Further studies and ground validation must be conducted to determine the specific causes of the land cover changes.","PeriodicalId":40697,"journal":{"name":"Mindanao Journal of Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Land Cover Change Detection and Analysis of Mts. Palay-Palay Mataas-Na-Gulod Protected Landscape, Philippines using Satellite Imagery\",\"authors\":\"Mitsui Chin Sen A. Yu, Jan Joseph V. Dida\",\"doi\":\"10.61310/mndjstecbe1213.23\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Several studies have already proven the existence of unsustainable human activities or disturbances assumed to cause land cover change on the Mts. Palay-Palay Mataas-Na-Gulod Protected Landscape (MPPMNGPL)in the Philippines. However, there is a dearth of published works on how these disturbances affect the different land cover classes in this protected landscape. This study aimed to help fill such information gap by investigating the extent of land cover changes and potentially disturbed forest areas inside the MPPMNGPL. Using geographic information system and remote sensing, classified maps were produced from Sentinel-2 and Landsat-8 images through supervised classification. The study described the land cover types and land cover changes in the area from 2015 to 2021 and identified potentially disturbed forest areas using the normalized difference moisture index (NDMI). The land cover classes identified in the area included forest, grassland, built-up, barren land and water. From 2015 to 2021, the largest land cover change came from the 510.92 ha of forest area in Ternate that turned into a grassland area as reflected in the NDMI result – an indicator of potential forest disturbance. Change detection showed that from 2015 to 2021, the grassland area had an increase of +14.05%, while the forest area had a decrease of -13.8%. Results showed that forest is still the most dominant land cover class in the protected landscape. Further studies and ground validation must be conducted to determine the specific causes of the land cover changes.\",\"PeriodicalId\":40697,\"journal\":{\"name\":\"Mindanao Journal of Science and Technology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2023-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mindanao Journal of Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.61310/mndjstecbe1213.23\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mindanao Journal of Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.61310/mndjstecbe1213.23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

几项研究已经证明,存在不可持续的人类活动或干扰,这些活动或干扰被认为会导致菲律宾Palay Palay Mataas Na Gulod山保护景观(MPPMNGPL)的土地覆盖变化。然而,关于这些扰动如何影响这片受保护景观中不同的土地覆盖类别,目前还缺乏已发表的著作。本研究旨在通过调查MPPMNGPL内土地覆盖变化的程度和潜在的受干扰森林区域来帮助填补这一信息空白。利用地理信息系统和遥感,通过监督分类,从哨兵2号和陆地卫星8号的图像中生成了分类地图。该研究描述了2015年至2021年该地区的土地覆盖类型和土地覆盖变化,并使用归一化差异水分指数(NDMI)确定了可能受到干扰的森林区域。该地区确定的土地覆盖类别包括森林、草原、建成区、荒地和水。从2015年到2021年,最大的土地覆盖变化来自特尔纳特510.92公顷的森林区域,该区域变成了草原区域,这反映在NDMI结果中——这是潜在森林干扰的指标。变化检测显示,从2015年到2021年,草地面积增加了+14.05%,而森林面积减少了-13.8%。结果表明,森林仍然是受保护景观中最主要的土地覆盖类别。必须进行进一步的研究和地面验证,以确定土地覆盖变化的具体原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Land Cover Change Detection and Analysis of Mts. Palay-Palay Mataas-Na-Gulod Protected Landscape, Philippines using Satellite Imagery
Several studies have already proven the existence of unsustainable human activities or disturbances assumed to cause land cover change on the Mts. Palay-Palay Mataas-Na-Gulod Protected Landscape (MPPMNGPL)in the Philippines. However, there is a dearth of published works on how these disturbances affect the different land cover classes in this protected landscape. This study aimed to help fill such information gap by investigating the extent of land cover changes and potentially disturbed forest areas inside the MPPMNGPL. Using geographic information system and remote sensing, classified maps were produced from Sentinel-2 and Landsat-8 images through supervised classification. The study described the land cover types and land cover changes in the area from 2015 to 2021 and identified potentially disturbed forest areas using the normalized difference moisture index (NDMI). The land cover classes identified in the area included forest, grassland, built-up, barren land and water. From 2015 to 2021, the largest land cover change came from the 510.92 ha of forest area in Ternate that turned into a grassland area as reflected in the NDMI result – an indicator of potential forest disturbance. Change detection showed that from 2015 to 2021, the grassland area had an increase of +14.05%, while the forest area had a decrease of -13.8%. Results showed that forest is still the most dominant land cover class in the protected landscape. Further studies and ground validation must be conducted to determine the specific causes of the land cover changes.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Mindanao Journal of Science and Technology
Mindanao Journal of Science and Technology MULTIDISCIPLINARY SCIENCES-
CiteScore
0.90
自引率
0.00%
发文量
18
期刊最新文献
Fragmentation Analysis of Capisaan Surface Karst Landscape through Changes in Land Use and Land Cover using FRAGSTATS Sustainable Management for Spiralling Whitefly, Aleurodicus dispersus Russell (Hemiptera: Aleyrodidae) Infesting Guava and Its Effects on the Natural Enemies’ Complex Prevalence of Streptococci spp. and Unexpected Non-Streptococci Strains Associated with Bovine Mastitis Infection in Dairy Cattle in Region IV-A, Philippines Building the Waray-waray Neural Language Model using Recurrent Neural Network Utilization of Forage Crops as an Effective and Eco-friendly Method for Weed Growth Control and Distribution in an Immature Rubber Plantation
×
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