Imran Aziz Tunio , Sheeraz Ahmed Memon , Habibullah Abbasi , Abdul Ahad Abro , Love Kumar , Muhammad Abdullah Tunio , Abdul Rehman Tunio , Jaten Kumar
{"title":"Spatiotemporal Assessment of Land Use Land Cover Change Detection and Normalized Difference Vegetation Index in Desert Area","authors":"Imran Aziz Tunio , Sheeraz Ahmed Memon , Habibullah Abbasi , Abdul Ahad Abro , Love Kumar , Muhammad Abdullah Tunio , Abdul Rehman Tunio , Jaten Kumar","doi":"10.1016/j.rama.2025.03.008","DOIUrl":null,"url":null,"abstract":"<div><div>This study examines the spatiotemporal changes in land use land cover (LULC) from 1990 to 2023 in the Islamkot subdistrict of Tharparkar, Pakistan, an area known for its vast coal reserves and environmental challenges. A change detection analysis was performed using the maximum likelihood supervised classification method, and a Normalized Difference Vegetation Index (NDVI) analysis was conducted to evaluate vegetation variations. The findings indicate significant changes in land cover patterns: settlement, vegetation, water bodies, and mining areas increased by approximately 3.02%, 20.2%, 3.8%, and 0.9%, respectively, while bare land decreased by 27.9%. The primary drivers of these changes were identified as mining activities and precipitation variations. These results provide a foundation for informed land use planning, conservation efforts, and regional sustainable development strategies.</div></div>","PeriodicalId":49634,"journal":{"name":"Rangeland Ecology & Management","volume":"101 ","pages":"Pages 126-139"},"PeriodicalIF":2.4000,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rangeland Ecology & Management","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1550742425000399","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This study examines the spatiotemporal changes in land use land cover (LULC) from 1990 to 2023 in the Islamkot subdistrict of Tharparkar, Pakistan, an area known for its vast coal reserves and environmental challenges. A change detection analysis was performed using the maximum likelihood supervised classification method, and a Normalized Difference Vegetation Index (NDVI) analysis was conducted to evaluate vegetation variations. The findings indicate significant changes in land cover patterns: settlement, vegetation, water bodies, and mining areas increased by approximately 3.02%, 20.2%, 3.8%, and 0.9%, respectively, while bare land decreased by 27.9%. The primary drivers of these changes were identified as mining activities and precipitation variations. These results provide a foundation for informed land use planning, conservation efforts, and regional sustainable development strategies.
期刊介绍:
Rangeland Ecology & Management publishes all topics-including ecology, management, socioeconomic and policy-pertaining to global rangelands. The journal''s mission is to inform academics, ecosystem managers and policy makers of science-based information to promote sound rangeland stewardship. Author submissions are published in five manuscript categories: original research papers, high-profile forum topics, concept syntheses, as well as research and technical notes.
Rangelands represent approximately 50% of the Earth''s land area and provision multiple ecosystem services for large human populations. This expansive and diverse land area functions as coupled human-ecological systems. Knowledge of both social and biophysical system components and their interactions represent the foundation for informed rangeland stewardship. Rangeland Ecology & Management uniquely integrates information from multiple system components to address current and pending challenges confronting global rangelands.