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Urban Spataial Analysis
Advancing Flood Susceptibility Prediction: A Comprehensive Assessment of Machine Learning Algorithms for Disaster Risk Management
Flood susceptibility mapping (FSM) is crucial for effective flood risk management, particularly in flood-prone regions like Pakistan. …
Mirza Waleed
,
Muhammad Sajjad
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ML-PY based LULC Mapping
Machine learning-based spatial-temporal assessment and change transition analysis of wetlands: An application of Google Earth Engine in Sylhet, Bangladesh (1985–2022)
Wetlands are crucial ecosystems as they enhance the quality of groundwater, protect from natural hazards, control erosion, and provide …
Mirza Waleed
,
Muhammad Sajjad
,
Muhammad Shareef Shazil
,
Maham Tariq
,
Md. Tauhidul Alam
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Towards Sustainable and Livable Cities: Leveraging Remote Sensing, Machine Learning, and Geo-Information Modelling to Explore and Predict Thermal Field Variance in Response to Urban Growth
Urbanization-led changes in land use land cover (LULC), resulting in an increased impervious surface, significantly deteriorate urban …
Mirza Waleed
,
Muhammad Sajjad
,
Anthony Owusu Acheampong
,
Md Tauhidul Alam
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Hybrid Machine Learning Approach for Gully Erosion Mapping Susceptibility at a Watershed Scale
Gully erosion is a serious threat to the state of ecosystems all around the world. As a result, safeguarding the soil for our own …
Sliman Hitouri
,
Antonietta Varasano
,
Meriame Mohajane
,
Safae Ijlil
,
Narjisse Essahlaoui
,
Sk Ajim Ali
,
Ali Essahlaoui
,
Quoc Bao Pham
,
Mirza Waleed
,
Sasi Kiran Palateerdham
,
Ana Cláudia Teodoro
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