Comprehensive review of remote sensing integration with deep learning in landslide forecasting and future directions
Citation
Pawar, N.S., Sharma, K.V. (2025). Comprehensive review of remote sensing integration with deep learning in landslide forecasting and future directions. Natural Hazards, 121: 23687-23721. Link to paper
Abstract
This review paper evaluates deep learning techniques such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs), exploring deep learning in landslide forecasting and enhanced mapping to minimize impact, showing advancements in landslide susceptibility mapping and forecasting like early warning systems. The study integrates remote sensing technologies such as satellite imagery and Light Detection and Ranging (LiDAR) with DL-trained models to enhance the detection of landslides.