Uses of Artificial Intelligence In Geography

Abstract Artificial Intelligence (AI) is becoming an important technology in the field of Geography. It helps geographers collect, process, analyze, and interpret large amounts of geographical data quickly and accurately. AI is widely used with Geographic Information Systems (GIS), Remote Sensing, satellite images, GPS, and spatial databases. It can help in land-use and land-cover mapping, urban planning, population analysis, disaster management, climate studies, agriculture, and environmental monitoring. AI-based techniques such as machine learning and deep learning can identify patterns and changes in geographical areas that may be difficult to detect through traditional methods. AI also helps in predicting natural hazards such as floods, droughts, landslides, and forest fires. In urban areas, it supports transportation planning, infrastructure development, and smart-city management. In agriculture, AI can assist in crop monitoring, soil analysis, and yield prediction. However, the effective use of AI requires reliable data, skilled users, proper technology, and attention to data privacy and accuracy. Thus, Artificial Intelligence has great potential to improve geographical research, spatial analysis, planning, and sustainable development.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-30
DOI
https://doi.org/10.5281/zenodo.22720771
Primary Topic
Knowledge Management and Technology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Uses of Artificial Intelligence In Geography

Omprakash Wamanrao Jadhav
Zenodo (CERN European Organization for Nuclear Research)
Knowledge Management and Technology
article

Uses of Artificial Intelligence In Geography

Omprakash Wamanrao Jadhav
article en

Abstract

Abstract Artificial Intelligence (AI) is becoming an important technology in the field of Geography. It helps geographers collect, process, analyze, and interpret large amounts of geographical data quickly and accurately. AI is widely used with Geographic Information Systems (GIS), Remote Sensing, satellite images, GPS, and spatial databases. It can help in land-use and land-cover mapping, urban planning, population analysis, disaster management, climate studies, agriculture, and environmental monitoring. AI-based techniques such as machine learning and deep learning can identify patterns and changes in geographical areas that may be difficult to detect through traditional methods. AI also helps in predicting natural hazards such as floods, droughts, landslides, and forest fires. In urban areas, it supports transportation planning, infrastructure development, and smart-city management. In agriculture, AI can assist in crop monitoring, soil analysis, and yield prediction. However, the effective use of AI requires reliable data, skilled users, proper technology, and attention to data privacy and accuracy. Thus, Artificial Intelligence has great potential to improve geographical research, spatial analysis, planning, and sustainable development.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 11%
Knowledge Management and Technology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Uses of Artificial Intelligence In Geography — Omprakash Wamanrao Jadhav · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS