Journal of Plant Ecology🌲#ForestStructuralComplexity and #TreeDiversity inherently facilitate mutual reinforcement in natural forests, but confounding factors like #CanopyHeight and #StandDensity may mask this relationship.
【🎉Latest accepted article】
Canopy height and #StandDensity mask nature’s inherent synergy between #ForestStructuralComplexity and diversity
#TreeDiversity | #CanopyHeight | #LiDAR | #Disturbance | #LightCompetition
💧🌏 Greg CocksPyForestScan - A Python Library For Calculating Forest Structural Metrics From LiDAR Point Cloud Data
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https://doi.org/10.21105/joss.07314 <-- shared paper
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https://github.com/iosefa/PyForestScan <-- GitHub repository
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[disclaimer: I have not tried this library]
#GIS #spatial #mapping #JOSS #remotesensing #LiDAR #pointcloud #forest #structural #metrics #spatialanalysis #geostatistics #ecology #ecological #FHD #PAD #PyForestScan #model #modeling #opensource #Python #library #density #canopyheight #areaindex #DTM #output #PDAL #forest #forestry #monitoring #carbonaccounting
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https://doi.org/10.21105/joss.07314 <-- shared paper
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https://github.com/iosefa/PyForestScan <-- GitHub repository
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[disclaimer: I have not tried this library]
#GIS #spatial #mapping #JOSS #remotesensing #LiDAR #pointcloud #forest #structural #metrics #spatialanalysis #geostatistics #ecology #ecological #FHD #PAD #PyForestScan #model #modeling #opensource #Python #library #density #canopyheight #areaindex #DTM #output #PDAL #forest #forestry #monitoring #carbonaccounting
PyForestScan: A Python library for calculating forest structural metrics from lidar point cloud data
Percival et al., (2025). PyForestScan: A Python library for calculating forest structural metrics from lidar point cloud data. Journal of Open Source Software, 10(106), 7314, https://doi.org/10.21105/joss.07314
Tundra Vegetation To Grow Taller, Greener Through 2100, Nasa Study Finds
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https://landsat.gsfc.nasa.gov/article/tundra-vegetation-to-grow-taller-greener-through-2100-nasa-study-finds/ <-- shared technical article
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https://doi.org/10.1038/s43247-024-01454-z <-- shared paper
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#GIS #spatial #mapping #model #modeling #climatechange #Alaska #Yukon Alaska #Canada #Scandinavia #Russia #boreal #borealforests #forests #vegetation #tundra #permafrost #remotesensing #satellite #ICESat2 #landsat #spatialanalysis #spatiotemporal #forecast #biome #landscape #canopy #transitional #canopycover #ABoVE #forest #hydrobasins #water #hydrology #taiga #canopyheight #cimp6 #SSP #bioclimate
@nasa
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https://landsat.gsfc.nasa.gov/article/tundra-vegetation-to-grow-taller-greener-through-2100-nasa-study-finds/ <-- shared technical article
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https://doi.org/10.1038/s43247-024-01454-z <-- shared paper
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#GIS #spatial #mapping #model #modeling #climatechange #Alaska #Yukon Alaska #Canada #Scandinavia #Russia #boreal #borealforests #forests #vegetation #tundra #permafrost #remotesensing #satellite #ICESat2 #landsat #spatialanalysis #spatiotemporal #forecast #biome #landscape #canopy #transitional #canopycover #ABoVE #forest #hydrobasins #water #hydrology #taiga #canopyheight #cimp6 #SSP #bioclimate
@nasa
Using Artificial Intelligence To Map The Earth’s Forests
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https://sustainability.fb.com/blog/2024/04/22/using-artificial-intelligence-to-map-the-earths-forests/ <-- shared technical article
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https://doi.org/10.1016/j.rse.2023.113888 <-- shared paper
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#GIS #spatial #mapping #AI #forestmonitoring #maps #climatechange #forests #forestmanagement #global #spatialanalysis #spatiotemporal #NVDI #canopy #canopyheight #SelfSupervisedLearning #SSL #visontransformers #GEDI #LiDAR #remotesensing #earthobservation #model #modeling #meta #WorldResourcesInstitute #LandAndCarbonLab
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https://sustainability.fb.com/blog/2024/04/22/using-artificial-intelligence-to-map-the-earths-forests/ <-- shared technical article
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https://doi.org/10.1016/j.rse.2023.113888 <-- shared paper
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#GIS #spatial #mapping #AI #forestmonitoring #maps #climatechange #forests #forestmanagement #global #spatialanalysis #spatiotemporal #NVDI #canopy #canopyheight #SelfSupervisedLearning #SSL #visontransformers #GEDI #LiDAR #remotesensing #earthobservation #model #modeling #meta #WorldResourcesInstitute #LandAndCarbonLab
