Peter Krzystek

机构：Munich University of Applied Sciences, Intelligent Machines (Sweden), GeoInformation (United Kingdom) · ORCID：0000-0002-1066-1377

发表论文 74 篇 · 总被引 3000 次 · h-index 28

代表论文

• Classification of Tree Species as Well as Standing Dead Trees Using Triple Wavelength ALS in a Temperate Forest (2019 · Remote Sensing · 被引 236)
• Heterogeneity–diversity relationships differ between and within trophic levels in temperate forests (2020 · Nature Ecology & Evolution · 被引 211)
• Radar vision in the mapping of forest biodiversity from space (2019 · Nature Communications · 被引 106)
• Large-Scale Mapping of Tree Species and Dead Trees in Šumava National Park and Bavarian Forest National Park Using Lidar and Multispectral Imagery (2020 · Remote Sensing · 被引 65)
• Silvi-Net – A dual-CNN approach for combined classification of tree species and standing dead trees from remote sensing data (2021 · International Journal of Applied Earth Observation and Geoinformation · 被引 61)
• CLASSIFICATION OF TREE SPECIES AND STANDING DEAD TREES BY FUSING UAV-BASED LIDAR DATA AND MULTISPECTRAL IMAGERY IN THE 3D DEEP NEURAL NETWORK POINTNET++ (2020 · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 被引 60)