Spatiotemporal LULC change detection and future prediction for the Mand catchment using MOLUSCE tool
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12665-023-11381-5.pdf
Reference74 articles.
1. Abijith D, Saravanan S (2022) Assessment of land use and land cover change detection and prediction using remote sensing and CA Markov in the northern coastal districts of Tamil Nadu, India. Environ Sci Pollut Res 29(57):86055–86067
2. Alam N, Saha S, Gupta S, Chakraborty S (2021) Prediction modelling of riverine landscape dynamics in the context of sustainable management of floodplain: a geospatial approach. Ann GIS. https://doi.org/10.1080/19475683.2020.1870558
3. Amgoth A, Rani HP, Jayakumar KV (2023) Exploring LULC changes in Pakhal Lake area, Telangana, India using QGIS MOLUSCE plugin. Spatial Inf Res 1–10
4. Anand V, Oinam B (2020) Future land use land cover prediction with special emphasis on urbanization and wetlands. Remote Sens Lett 11:225–234
5. Baghel S, Tripathi MP, Khalkho D, Kumar A (2021) RS and GIS based approach in morphometric analysis of thirteen sub-watersheds of Mand river catchment, Chhattisgarh. J Soil Water Conserv 20(3):269–278
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Synergistic approach for land use and land cover dynamics prediction in Uttarakhand using cellular automata and Artificial neural network;Geomatica;2024-12
2. Comparative analysis of land use changes modeling based-on new hybrid models and CA-Markov in the Urmia lake basin;Advances in Space Research;2024-10
3. Unveiling the Hydrological NDWI: Random Forest Analysis of Landsat Images - Siruvani Dam, India;2024 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES);2024-05-03
4. Advanced CMD predictor screening approach coupled with cellular automata-artificial neural network algorithm for efficient land use-land cover change prediction;Journal of Cleaner Production;2024-04
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3