Modelling Spatial Drivers for LU/LC Change Prediction Using Hybrid Machine Learning Methods in Javadi Hills, Tamil Nadu, India
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s12524-020-01258-6.pdf
Reference68 articles.
1. Aburas, M. M., Ahamad, M. S. S., & Omar, N. Q. (2019). Spatio-temporal simulation and prediction of land-use change using conventional and machine learning models: a review. Environmental Monitoring and Assessment, 191(4), 205. https://doi.org/10.1007/s10661-019-7330-6.
2. Adam, E., et al. (2014). Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: Evaluating the performance of random forest and support vector machines classifiers. International Journal of Remote Sensing, 35(10), 3440–3458. https://doi.org/10.1080/01431161.2014.903435.
3. Anand, V., & Oinam, B. (2020). Future land use land cover prediction with special emphasis on urbanization and wetlands. Remote Sensing Letters, 11(3), 225–234. https://doi.org/10.1080/2150704X.2019.1704304.
4. Ansari, A., & Golabi, M. H. (2019). Prediction of spatial land use changes based on LCM in a GIS environment for Desert Wetlands–A case study: Meighan Wetland, Iran. International Soil and Water Conservation Research, 7(1), 64–70. https://doi.org/10.1016/j.iswcr.2018.10.001.
5. Arsanjani, J. J., et al. (2013). Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion. International Journal of Applied Earth Observation and Geoinformation, 21, 265–275. https://doi.org/10.1016/j.jag.2011.12.014.
Cited by 21 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. The suitability assessment for land territorial spatial planning based on ANN-CA model and the Internet of Things;Heliyon;2024-05
2. Land Surface Temperature Classification Using Machine Learning Algorithms for the region of Kolli Hills, Tamil Nadu, India;2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12
3. Land Use Land Cover Change Detection Using Hybrid Machine Learning Algorithms – Anaimalai Hills, Tamil Nadu, India;2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12
4. An extensive review of hyperspectral image classification and prediction: techniques and challenges;Multimedia Tools and Applications;2024-03-09
5. Land use/land cover (LULC) classification using deep-LSTM for hyperspectral images;The Egyptian Journal of Remote Sensing and Space Sciences;2024-03
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