Flood mapping based on open-source remote sensing data using an efficient band combination system.

E Hidayah, T Pranadiarso, G Halik… - Acta Geographica …, 2022 - search.ebscohost.com
Flood mapping is an essential component of planning flood mitigation. The availability of
remote sensing data makes rapid flood mapping possible. This article develops an accurate …

[PDF][PDF] The Use of Sentinel-2A Images to Estimate Potential Flood Risk With A Multi-Index Approach in The Mempawah Watershed.

A Purwanto, A Sudiro - Geosfera Indonesia, 2023 - academia.edu
Natural disasters in Indonesia have become an annual cycle, an example is flooding. This
study aims to determine the flood risk potential in the Mempawah watershed and the places …

Extraction of water bodies using machine learning and water body indices in an arid region, comparison, and application: A case study Naser Lake Egypt

BA El-Haddad, AM Youssef - Advanced Tools for Studying Soil Erosion …, 2024 - Elsevier
Water is an essential component of human activities in arid regions. Consequently, precise
mapping of water bodies could aid in predicting future changes and water availability and …

Applying different machine learning and spectral indices in satellite imagery for flood mapping

L Li - 2024 - eprints.qut.edu.au
This research combined spectral indices from a high-resolution satellite and several
machine learning algorithms to predict flood maps in an urban environment (Brisbane, 2022 …

[PDF][PDF] Comparison of SAR Backscatter Coefficient and Water Indices for Flooding Detection

Y Kim, MJ Lee - Korean Journal of Remote Sensing, 2020 - academia.edu
With the increasing severity of climate change, intense torrential rains are occurring more
frequently globally. Flooding due to torrential rain not only causes substantial damage …