Satellite imagery-based tropical cyclone impact assessment on LULC and vegetation: a case study of cyclone Biparjoy

P Patra, U Das, S Agrawal - Environmental Monitoring and Assessment, 2024 - Springer
Cyclones pose significant threats to coastal regions, triggering widespread ecological and
hydrological changes. This study presents an impact assessment of cyclone Biparjoy, which …

Flood monitoring in the middle and lower basin of the Yangtze river using google earth engine and machine learning methods

J Wang, F Wang, S Wang, Y Zhou, J Ji, Z Wang… - … International Journal of …, 2023 - mdpi.com
Under the background of intensified human activities and global climate warming, the
frequency and intensity of flood disasters have increased, causing many casualties and …

Cloud-based machine learning for flood policy recommendations in Makassar City, Indonesia

AB Rimba, A Arumansawang, IPW Utama… - Water, 2023 - mdpi.com
Makassar City frequently experiences monsoonal floods, typical of a tropical city in
Indonesia. However, there is no high-accuracy flood map for flood inundation. Examining …

[HTML][HTML] Mapping outburst floods using a collaborative learning method based on temporally dense optical and SAR data: A case study with the Baige landslide dam …

Z Yang, J Wei, J Deng, Y Gao, S Zhao, Z He - Remote Sensing, 2021 - mdpi.com
Outburst floods resulting from giant landslide dams can cause devastating damage to
hundreds or thousands of kilometres of a river. Accurate and timely delineation of flood …

Proposed flood evacuation routes for heritage areas based on spatial configuration analysis: a case study of Penang, Malaysia

M Safizadeh, M Hedayati Marzbali… - Journal of Facilities …, 2024 - emerald.com
Purpose Because of the global increase of climate change effects, floods are becoming
more frequent and severer, especially in urban areas of coastal cities and islands where …