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Temporal Remote Sensing and GIS Analysis of Land Use/Land Cover Transitions:A Case Study in Annamayya District,Andhra Pradesh,India

基于遥感和GIS分析的土地利用/覆盖变化的案例研究:以印度Annamayya区为例
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摘要 Understanding and managing the changing landscape of our planet requires analyzing land use and land cover(LULC)transitions.This study combines remote sensing data and GIS analysis to uncover the intricate patterns and drivers behind these transitions.By integrating GIS analysis,we identify factors such as urbanization,agricultural expansion,deforestation,and natural resource management contributing to these changes.Accurate data preprocessing and calibration are emphasized to reduce errors and uncertainties in LULC maps.The study covers the period from 2017 to 2022,utilizing digitized LULC maps created with GIS tools and satellite data interpretation,specifically Sentinel-2 images.The landscape was classified into seven land cover types:agricultural land,built-up areas,barren or degraded land,flooded vegetation areas,forests,vegetation or shrub-covered areas,and waterbodies.Findings revealed a decrease of 1063.73 km^(2)in barren land between 2017 and 2022.Agricultural land expanded by 228.93 km^(2),forest land increased by 632.90 km^(2),and waterbodies grew by 33.05 km^(2).These changes suggest a conversion of areas likely influenced by the high intensity of rainfall between 2017 and 2022,leading to notable ecological consequences such as reduced soil erosion and improved biodiversity protection.The study's results have significant implications for land management,environmental protection,and sustainable development.The extensive analysis of spatial and temporal data equips policymakers,urban planners,and researchers with crucial knowledge to make well-informed decisions.This research provides a solid basis for monitoring and managing LULC transitions,offering valuable methodologies and insights to promote a resilient and harmonious coexistence between human activities and the environment. 要了解和管理不断变化的景观,需要分析土地利用和土地覆盖(LULC)的变化。本研究结合遥感数据和GIS技术,揭示这些变化背后错综复杂的模式和驱动因素。通过整合GIS分析,我们确定了导致这些变化的因素,例如城市化、农业扩张、森林砍伐和自然资源管理。该研究基于2017-2022年的土地利用/土地覆被变化数据(特别是Sentinel-2图像数据),利用GIS工具和卫星数据解译创建了数字化LULC图。土地利用与土地覆被类型分为7种:农业用地、建设用地、荒地或退化土地、被淹没的植被区、森林、植被或灌木覆盖区和水体。研究发现,在2017-2022年间,研究区荒地面积减少了1063.73 km^(2),农业用地扩展了228.93 km^(2),林地增加了632.90 km^(2),水体面积增长了33.05 km^(2)。研究结果对土地管理、环境保护和区域的可持续发展具有重要意义。
作者 Somagouni Srinivasa GOWD Sangaraju Siddi RAJU Kambam SWETHA Gara Raja RAO Yenda PADMINI Mallula Srinivasa RAO Somagouni Srinivasa GOWD;Sangaraju Siddi RAJU;Kambam SWETHA;Gara Raja RAO;Yamini PADMINI;Mallula Srinivasa RAO(Yogi Vemana大学地质系,印度卡达帕516005;Indira Gandhi国立部落大学地质系,印度阿默卡尔纳塔克484887;Sri Venkateswara大学理学院地理系,印度蒂鲁帕蒂517502;Andhra大学地质系,印度维沙卡帕特南530003;Srikakulam Dr.B.R.Ambedkar大学地球科学系,印度斯里卡库拉姆532410)
出处 《Journal of Resources and Ecology》 2025年第3期815-823,共9页 资源与生态学报(英文版)
关键词 land use/land cover remote sensing GIS TRANSITIONS environment sustainable development 土地利用/土地覆盖 遥感 GIS 转变 环境 可持续发展
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