AI-Enhanced Remote Sensing and Spatial Research in Geography

Authors

  • Dr. Sushant Das

Abstract

Artificial intelligence (AI) has significantly transformed the fields of geographical analysis and remote sensing. When researchers use geospatial technology in conjunction with artificial intelligence algorithms, especially ML and DL, they may better manage massive datasets, improve classification accuracy, and discover minuscule spatial-temporal patterns with extraordinary accuracy. Using examples from land-use mapping, environmental monitoring, urban planning, and disaster management, this study delves into how artificial intelligence (AI) improves remote sensing applications. This article highlights the revolutionary potential of artificial intelligence (AI) for sustainable development and geoinformatics while also discussing obstacles, ethical considerations, and future paths for AI-driven spatial study.

Keywords: Artificial Intelligence (AI), Remote Sensing, Spatial Analysis, Machine Learning, Geoinformatics.

Additional Files

Published

31-12-2025

How to Cite

Dr. Sushant Das. (2025). AI-Enhanced Remote Sensing and Spatial Research in Geography. Ldealistic Journal of Advanced Research in Progressive Spectrums (IJARPS) eISSN– 2583-6986, 4(12), 135–147. Retrieved from https://journal.ijarps.org/index.php/IJARPS/article/view/1112

Issue

Section

Research Paper