Remote Sensing and GIS Applications in Climate Modeling: Insights from Pakistan
Clicks: 10
ID: 309092
2025
Article Quality & Performance Metrics
Overall Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
0.0
/100
0 views
0 readers
AI Quality Assessment
Not analyzed
Abstract
Climate change poses significant challenges to Pakistan, affecting its agriculture, water resources, and overall environmental stability. Remote Sensing (RS) and Geographic Information Systems (GIS) have emerged as pivotal tools in climate modeling, enabling the analysis of spatial and temporal variations in climate variables. This paper explores the applications of RS and GIS in climate modeling within the Pakistani context, highlighting their role in monitoring land use/land cover changes, assessing temperature variations, and predicting future climate scenarios. By integrating satellite imagery and GIS-based models, researchers can derive valuable insights into the impacts of climate change, facilitating informed decision-making for sustainable development and disaster management.
| Reference Key |
imported_1761903361_690483015ec93
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Sami Ullah, Muhammad Rashid, Tauheed Ullah Khan |
| Journal | International journal of advanced sciences and computing |
| Year | 2025 |
| DOI |
DOI not found
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.