Erik Næsset
- Remote sensing in forestry: current challenges, considerations and directions
2023/05/10 by Fabian Ewald Fassnacht, Joanne C White, Joanne C. White +3 · 36 citations
Environmental Science · #Remote Sensing and LiDAR Applications #Remote Sensing in Agriculture #Fire effects on ecosystems
- Comparative testing of single-tree detection algorithms under different types of forest
2011/10/11 by J. Vauhkonen, Jari Vauhkonen, L. Ene +30 · 16 citations
Environmental Science · Agricultural and Biological Sciences · #Remote Sensing and LiDAR Applications #Forest ecology and management #Forest Ecology and Biodiversity Studies
- Geostatistical estimation of forest biomass in interior Alaska combining\n Landsat-derived tree cover, sampled airborne lidar and field observations
2017/05/09 by Chad Babcock, Andrew O. Finley, Babcock, Chad +21 · 1 citation
Environmental Science · #Applications (stat.AP) #FOS: Computer and information sciences #Forest ecology and management #Remote Sensing and LiDAR Applications #Soil Geostatistics and Mapping
- The Global Canopy Atlas: analysis-ready maps of 3D structure for the world’s woody ecosystems
2025/09/04 by Fabian Jörg Fischer, Rebecca Banbury Morgan, Toby Jackson +97 · 1 voice · 2 citations
Environmental Science · #Remote Sensing and LiDAR Applications
- Assessing effects of laser point density, ground sampling intensity, and field sample plot size on biophysical stand properties derived from airborne laser scanner data
2008/05/01 by Terje Gobakken, Erik Næsset · 2 citations
Environmental Science · Agricultural and Biological Sciences · #Remote Sensing and LiDAR Applications #Forest ecology and management #Forest Ecology and Biodiversity Studies
- Estimation of boreal forest biomass from ICESat-2 data using hierarchical hybrid inference
2023/07/10 by Petri Varvia, Varvia, Petri, Svetlana Saarela +13 · 1 citation
Environmental Science · #Applications (stat.AP) #FOS: Computer and information sciences #Forest ecology and management #Remote Sensing and LiDAR Applications #Remote Sensing in Agriculture