Pinned Repositories
adtree
Accurate, Detailed, and Automatic Modelling of Laser-Scanned Trees
ForestGapR
ForestGapR: An R Package for Airborne Laser Scanning-derived Tropical Forest Gaps Analysis
forestr
forestr R package
ICESat2VegR
rICESat2VegR: An R Package for NASA's Ice, Cloud, and Elevation Satellite (ICESat-2) Data Processing and Visualization for Terrestrial Applications
rForest
Forest Inventory and Analysis
rGEDI
rGEDI: An R Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing.
rLiDAR
rLiDAR — LiDAR Data Processing and Visualization
rTLsDeep
uavRst
UAV related Remote Sensing Toolbox
weblidar-treetop
carlos-alberto-silva's Repositories
carlos-alberto-silva/rGEDI
rGEDI: An R Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing.
carlos-alberto-silva/weblidar-treetop
carlos-alberto-silva/ForestGapR
ForestGapR: An R Package for Airborne Laser Scanning-derived Tropical Forest Gaps Analysis
carlos-alberto-silva/rTLsDeep
carlos-alberto-silva/rForest
Forest Inventory and Analysis
carlos-alberto-silva/rLiDAR
rLiDAR — LiDAR Data Processing and Visualization
carlos-alberto-silva/ICESat2VegR
rICESat2VegR: An R Package for NASA's Ice, Cloud, and Elevation Satellite (ICESat-2) Data Processing and Visualization for Terrestrial Applications
carlos-alberto-silva/satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
carlos-alberto-silva/animated-wildfire-progression-maps
carlos-alberto-silva/lidUrb
Urban trees analyses from terrestrial laser scanning
carlos-alberto-silva/AnalyzeSkeleton
ImageJ/Fiji plugin to analyze 2D and 3D skeleton images
carlos-alberto-silva/AngleCAM
carlos-alberto-silva/artemis_treescaling
Individual-tree attribute scaling from airborne laser scanning point clouds
carlos-alberto-silva/carlos-alberto-silva.r-universe.dev
carlos-alberto-silva/cc-treeiso-plugin
Individual-tree isolation (treeiso) from terrestrial laser scanning
carlos-alberto-silva/CH-GEE
The CH-GEE app generates 10 m resolution canopy height maps by integrating GEDI Rh metrics with multi-source remote sensing data (radar, optical, and topographical features)
carlos-alberto-silva/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
carlos-alberto-silva/DEVIANT
[ECCV 2022] Official PyTorch Code of DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection
carlos-alberto-silva/fds
Fire Dynamics Simulator
carlos-alberto-silva/FOR3430C_Forest_Mensuration
carlos-alberto-silva/ForestVegetationSimulator-Interface
carlos-alberto-silva/jakteristics
Compute point cloud geometric features from python
carlos-alberto-silva/NRT-MONITOR
carlos-alberto-silva/ogh_summer_school_2020
Material for the session "Introduction to Deep Learning in R for the analysis of UAV-based remote sensing data"
carlos-alberto-silva/PlanetNICFI
Processing of the 'Planet NICFI' Satellite Imagery
carlos-alberto-silva/plant_3d_deep_learning
3d Deep learning on point cloud data of plants
carlos-alberto-silva/silvalab
carlos-alberto-silva/spanner
Utilities to support landscape-, forest-, and tree-related data collection, manipulation, analysis, modelling, and visualization.
carlos-alberto-silva/supervision
We write your reusable computer vision tools. 💜
carlos-alberto-silva/wfds9977
Wildland-urban Interface Simulator (WFDS) based on revision 9977 of FDS6.