[HTML][HTML] Application of artificial intelligence and remote sensing for landslide detection and prediction: systematic review
This paper systematically reviews remote sensing technology and learning algorithms in
exploring landslides. The work is categorized into four key components:(1) literature search …
exploring landslides. The work is categorized into four key components:(1) literature search …
Machine learning approaches to landsat change detection analysis
The Landsat mission has captured images of the Earth's surface for over 50 years, and the
data have enabled researchers to investigate a vast array of different change phenomena …
data have enabled researchers to investigate a vast array of different change phenomena …
Detecting small-scale landslides along electrical lines using robust satellite-based techniques
Abstract Robust Satellite Technique (RST) was applied to detect small-scale landslides
along electrical lines in Sicily, Italy. To this end, electrical poles were selected as targets …
along electrical lines in Sicily, Italy. To this end, electrical poles were selected as targets …
[HTML][HTML] MB-Net: A network for accurately identifying cree** landslides from wrapped interferograms
The efficient and automated identification of landslide hazards is essential for socio-
economic development and human safety. Integrating the feature extraction capabilities of …
economic development and human safety. Integrating the feature extraction capabilities of …
[PDF][PDF] THE USE OF RECURRENT NEURAL NETWORKS (S-RNN, LSTM, GRU) FOR FLOOD FORECASTING BASED ON DATA EXTRACTED FROM CLASSICAL …
AM Rugină - Modelling in Civil and Environmental Engineering, 2023 - sciendo.com
Floods are natural disasters that have a significant impact on everyday human life, both
through material losses and loss of life. In the context of climate change, these events may …
through material losses and loss of life. In the context of climate change, these events may …