Guest Editors
Prof. Dr. Muhammad Adnan Shahid
Email: Muhammad.shahid@uaf.edu.pk
Affiliation: National Centre of GIS and Space Applications (NCGSA)-Agricultural Remote Sensing Lab (ARSL), University of Agriculture, Faisalabad 38000, Punjab, Pakistan
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Research Interests: water resources management, on farm water management, hydrology and hydrologic modeling, GIS/ remote sensing, flood management
Dr. Fahd Rasul
Email: drfahdrasul@uaf.edu.pk
Affiliation: Department of Agronomy, University of Agriculture, Faisalabad 38000, Punjab, Pakistan
Homepage:
Research Interests: crop science, crop modelling and climate change impact assessment, sustainable crop management under stressful environments, crop nutrition management, seed science and technology, problem soils management. soil health management, irrigation systems, biofertilizers, oilseed crops, super hybrid rice cultivation regulations. crop residue management
Dr. Aamir Raza
Email: araza@umn.edu
Affiliation: Precision Agriculture Centre, Department of Soil, Water and Climate, University of Minnesota, St. Paul, MN 55108, USA
Homepage:
Research Interests: precision agriculture, crop modeling, machine learning and deep learning, sustainable agriculture
Dr. Muhammad Safdar
Email: m.safdar@uaf.edu.pk
Affiliation: National Centre of GIS and Space Applications (NCGSA)-Agricultural Remote Sensing Lab (ARSL), University of Agriculture, Faisalabad 38000, Punjab, Pakistan
Homepage:
Research Interests: climate change, precision agriculture, remote sensing, GIS, water resources management
Summary
The rapid advancement of geospatial technologies, including Geographic Information Systems (GIS), remote sensing, and artificial intelligence, has significantly transformed the field of precision agriculture and water resource management. High-resolution satellite imagery, UAV-based remote sensing, and ground-based IoT sensors allow for comprehensive monitoring of soil health, crop conditions, and water distribution locally and globally. These technologies play a crucial role in addressing pressing challenges such as climate change impacts, resource inefficiencies, and food security by enabling data-driven decision-making in agriculture and water resource sustainability.
This Special Issue focuses on the integration of geospatial tools for optimizing agricultural productivity and ensuring sustainable water management. We encourage submissions that explore the development and application of GIS-based spatial analysis, remote sensing techniques, and data fusion methods to support precision agriculture and hydrological studies. Topics of interest include, but are not limited to, precision irrigation, soil moisture estimation, drought and flood monitoring, land use, and crop mapping, evapotranspiration modeling, and the application of AI in geospatial data interpretation.
We invite researchers to contribute original research articles, methodological advancements, and review papers that enhance knowledge in geospatial applications for sustainable agriculture and water resource management. Submissions should present robust methodologies and provide well-illustrated results through clear visualizations, including maps and spatial analyses.
Keywords
Precision Agriculture, Remote Sensing, Geographic Information Systems (GIS), Water Resource Management, Soil Moisture Monitoring, Crop Mapping and Yield Prediction, Drought and Flood Monitoring, Evapotranspiration Modeling, AI and Machine Learning in Geospatial Analysis, Sustainable Agriculture
Published Papers