Application of convolutional neural networks with object-based image analysis for land cover and land use mapping in coastal areas: A case study in Ain Témouchent, Algeria

Assessment of combining convolutional neural networks and object based image analysis to land cover classification using Sentinel 2 satellite imagery (Tenes region, Algeria)

International audience Abstract. Land cover maps can provide valuable information for

Land Cover Mapping in a Mangrove Ecosystem Using Hybrid Selective Kernel-Based Convolutional Neural Networks and Multi-Temporal Sentinel-2 Imagery

Mangrove ecosystems provide numerous ecological services and serve as vital habitats for a wide rang

Machine Learning-Based Land Use and Land Cover Mapping Using Multi-Spectral Satellite Imagery: A Case Study in Egypt

Satellite images provide continuous access to observations of the Earth, making environmental monito

Land Cover Mapping in the Amhara Region of Northwest Ethiopia Using Convolutional Neural Networks and Domain Adaptation Techniques

Combining 2D encoding and convolutional neural network to enhance land cover mapping from Satellite Image Time Series

International audience The use of high spatial resolution Satellite Image Time Series

Spatiotemporal change analysis and ANN/CCI LC products- based future predictions of land use and land cover: Algiers city, (Algeria) case study