Remote Sensing | Free Full-Text | Deriving Urban Boundaries of Henan Province, China, Based on Sentinel-2 and Deep Learning Methods
More accurate less meaningful? A critical physical geographer's reflection on interpreting remote sensing land-use analyses - Andreas Christian Braun, 2021
DecHPoints: A New Tool for Improving LiDAR Data Filtering in Urban Areas | SpringerLink
Grundlagen Fernerkundung - 12 Image classication
Potential use of hyperspectral data to classify forest tree species | New Zealand Journal of Forestry Science | Full Text
Fernerkundung unterstützt Suche nach Borkenkäferschäden - LWF aktuell 131
Selection of LiDAR geometric features with adaptive neighborhood size for urban land cover classification | Request PDF
Red-edge vegetation indices for detecting and assessing disturbances in Norway spruce dominated mountain forests - ScienceDirect
Grundlagen Fernerkundung - 12 Image classication
DecHPoints: A New Tool for Improving LiDAR Data Filtering in Urban Areas | SpringerLink
Synergetic use of Sentinel‐1 and Sentinel‐2 for assessments of heathland conservation status - Schmidt - 2018 - Remote Sensing in Ecology and Conservation - Wiley Online Library
gi-reports@igf
Remote Sensing | Free Full-Text | Deriving Urban Boundaries of Henan Province, China, Based on Sentinel-2 and Deep Learning Methods
DecHPoints: A New Tool for Improving LiDAR Data Filtering in Urban Areas | SpringerLink
Integrated analysis of Hashtgerd plain deformation, using Sentinel-1 SAR, geological and hydrological data | Scientific Reports
Fernerkundung unterstützt Suche nach Borkenkäferschäden - LWF aktuell 131
Remote Sensing | Free Full-Text | Canopy Height Estimation from Single Multispectral 2D Airborne Imagery Using Texture Analysis and Machine Learning in Structurally Rich Temperate Forests
![PDF] The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII-4/C7 CLASSIFICATION OF HIGH RESOLUTION OPTICAL AND SAR FUSION IMAGE USING FUZZY KNOWLEDGE AND OBJECT-ORIENTED PARADIGM | Semantic](https://d3i71xaburhd42.cloudfront.net/0128272af5d7dc50634109e4e96ee30b21ce581d/4-Table3-1.png "PDF] The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII-4/C7 CLASSIFICATION OF HIGH RESOLUTION OPTICAL AND SAR FUSION IMAGE USING FUZZY KNOWLEDGE AND OBJECT-ORIENTED PARADIGM | Semantic")
PDF] The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII-4/C7 CLASSIFICATION OF HIGH RESOLUTION OPTICAL AND SAR FUSION IMAGE USING FUZZY KNOWLEDGE AND OBJECT-ORIENTED PARADIGM | Semantic
Improving the accuracy of models to map alpine grassland above‐ground biomass using Google earth engine - Shi - Grass and Forage Science - Wiley Online Library
