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Yuan, Q., Shen, H., Li, T., Li, Z., Li, S., Jiang, Y. and Zhang, L. (2020) Deep Learning in Environmental Remote Sensing: Achievements and Challenges. Remote Sensing of Environment, 241, Article ID: 111716.
https://doi.org/10.1016/j.rse.2020.111716

has been cited by the following article:

• TITLE: Utilization of Geospatial Technology to Track Effects of Global Warming on Climate Changes in India

  AUTHORS: Aybars Oztuna

  KEYWORDS: Satellite Remote Sensing, Climate Risk Issue, Global Warming Issue

  JOURNAL NAME: Journal of Geographic Information System, Vol.14 No.6, December 27, 2022

  ABSTRACT: In order to track the global warming issues in India, “Satellite Remote Sensing” can be used effectively and the main reason for choosing this is that it gives climate associated variables with a massive regional coverage and global coverage. The survey has been effectively conducted through Ipsos and through this survey it can be stated that the global warming issue of India is increasing day by day. In addition, effective materials and methods have been highlighted and four models in this material part have been shown in a succinct manner. Uncertainty, poverty and the weak role of the local government are the major factors and these factors are increasing the climate risk issue.