Land use and land cover change detection using the random forest approach: The case of the Upper Blue Nile River basin, Ethiopia
BG Tikuye, M Rusnak, BR Manjunatha… - Global …, 2023 - Wiley Online Library
Monitoring land use change dynamics is critical for tackling food security, climate change,
and biodiversity loss on a global scale. This study is designed to classify land use and land …
and biodiversity loss on a global scale. This study is designed to classify land use and land …
Sentinel-1 SAR images and deep learning for water body mapping
Floods occur throughout the world and are becoming increasingly frequent and dangerous.
This is due to different factors, among which climate change and land use stand out. In …
This is due to different factors, among which climate change and land use stand out. In …
Land use land cover mapping and snow cover detection in himalayan region using machine learning and multispectral sentinel-2 satellite imagery
Abstract The Chamoli district of Uttarakhand, India, was recently devastated by a natural
disaster ie flash flood (07 February 2021), causing significant damage to life, property …
disaster ie flash flood (07 February 2021), causing significant damage to life, property …
Land-Use Transitions and Its Driving Mechanism Analysis in Putian City, China, during 2000–2020
Q Peng, D Wu, W Lin, S Fan, K Su - Sustainability, 2024 - mdpi.com
Investigating the spatial-temporal evolution of land use and its driving forces provides a
scientific basis for policy formulation, land-use structure adjustment, and ecological …
scientific basis for policy formulation, land-use structure adjustment, and ecological …
[HTML][HTML] Evaluating Flood Damage to Paddy Rice Fields Using PlanetScope and Sentinel-1 Data in North-Western Nigeria: Towards Potential Climate Adaptation …
S Ibrahim, H Balzter - Remote Sensing, 2024 - mdpi.com
Floods are significant global disasters, but their impact in developing countries is greater
due to the lower shock tolerance, many subsistence farmers, land fragmentation, poor …
due to the lower shock tolerance, many subsistence farmers, land fragmentation, poor …
Optimizing flood susceptibility assessment in semi-arid regions using ensemble algorithms: a case study of Moroccan High Atlas
This study explores and compares the predictive capabilities of various ensemble
algorithms, including SVM, KNN, RF, XGBoost, ANN, DT, and LR, for assessing flood …
algorithms, including SVM, KNN, RF, XGBoost, ANN, DT, and LR, for assessing flood …
Dynamics changes of coastal aquaculture ponds based on the Google Earth Engine in Jiangsu Province, China
X Li, P Zhao, M Liang, X Ji, D Zhang, Z Xie - Marine Pollution Bulletin, 2024 - Elsevier
Monitoring the spatiotemporal variation in coastal aquaculture zones is essential to
providing a scientific basis for formulating scientifically reasonable land management …
providing a scientific basis for formulating scientifically reasonable land management …
[HTML][HTML] Machine learning screening tools for the prediction of extraction yields of pharmaceutical compounds from wastewaters
A Casas, D Rodríguez-Llorente… - Journal of Water …, 2024 - Elsevier
Pharmaceutical compounds have become an increasingly important source of pollutants in
wastewaters being conventional treatments ineffective in removing them, so they are …
wastewaters being conventional treatments ineffective in removing them, so they are …
A machine learning-based approach for flash flood susceptibility mapping considering rainfall extremes in the northeast region of Bangladesh
Flash floods are catastrophic global events, especially in northeast Bangladesh, and
assessing flash flood susceptibility is crucial for preparedness and mitigation. Traditional …
assessing flash flood susceptibility is crucial for preparedness and mitigation. Traditional …
A deep learning-based approach to predict the flood patterns using Sentinel-1A time series images
The risk from natural disasters is incessantly growing with the complex nature of advancing
globalization. The escalating change in global climate is a driving factor in increasing floods …
globalization. The escalating change in global climate is a driving factor in increasing floods …