This journal focuses on the application of photogrammetry and remote sensing techniques, including deep learning and machine learning algorithms, for analyzing and reconstructing 3D environments and classifying land cover. Recent articles explore advancements in areas such as planetary surface mapping, agricultural monitoring, forest management, urban planning, and environmental analysis using data from satellites, drones, and LiDAR.
Atomic and Molecular Physics, and OpticsEarth and Planetary Sciences (miscellaneous)Geography, Planning and DevelopmentComputers in Earth Sciences
Research Topics (OpenAlex)
Remote Sensing and LiDAR Applications3D Surveying and Cultural HeritageRemote Sensing in AgricultureRobotics and Sensor-Based LocalizationRemote-Sensing Image ClassificationForest Ecology and Biodiversity StudiesForest ecology and managementAdvanced Vision and ImagingSmart Agriculture and AISynthetic Aperture Radar (SAR) Applications and Techniques