qinmaNNU / NYCtrees
Here we produced an individual tree dataset including tree locations, height, crown area, crown volume, and biomass over the entire New York City, USA for 6,005,690 trees. Individual trees were detected and mapped from remotely sensed datasets along with their height and crown size information.
☆14Updated last year
Related projects ⓘ
Alternatives and complementary repositories for NYCtrees
- Road corrections and measurements from ALS data☆19Updated this week
- williamlidberg / Mapping-drainage-ditches-in-forested-landscapes-using-deep-learning-and-aerial-laser-scanningThis project aims to map small ditches from high resolution LiDAR data using deep learning☆25Updated last year
- Vectorisation of road network☆9Updated last year
- An R package for NASA’s GEDI Level 4A data download, processing and visualization.☆24Updated last year
- Scraping, parsing, and analyzing every public Earth Engine repository☆19Updated 2 years ago
- TALLO database☆34Updated 2 years ago
- ☆45Updated 8 months ago
- Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes☆21Updated this week
- R package to analyze trajectories of a time series☆11Updated last month
- A curated list of Awesome Spectral Indices (ASI) resources☆19Updated 11 months ago
- Repo for tools to calculate landscape metrics in Google Earth Engine☆32Updated 2 weeks ago
- Notebook for the GRASS GIS for remote sensing data processing and analysis workshop at FOSS4G 2022 in Florence☆24Updated 2 years ago
- ☆11Updated 4 years ago
- forestr R package☆27Updated 11 months ago
- Definition of the Equi7Grid - a spatial reference optimized for global high-resolution raster data.☆61Updated 4 months ago
- ☆16Updated 4 months ago
- Ressources for the session on machine learning and remote sensing at the OpenGeoHub Summer school in Wageningen 2020☆15Updated 4 years ago
- Code and Tutorials for the 2023 Silvilaser GEDI Workshop☆13Updated last year
- Additional point cloud metrics to use with *_metric functions in lidR☆18Updated 6 months ago
- Enabling large-scale ecosystem mapping and assessment☆37Updated 6 years ago
- Code for building raster files of elevation derivatives, python and R scripts for using these rasters for building and applying random fo…☆22Updated last year
- Wiki to develop users' contributed material for GEE documentation☆20Updated 5 years ago
- Presentations for the OpenGeoHub Summer School 2019: https://opengeohub.org/summer_school_2019☆20Updated 9 months ago
- R package to estimate leaf area density (LAD) and leaf area index (LAI) from airborne LiDAR point clouds☆34Updated last year
- Set of tools to apply the probabilistic approach of Reiche et al. (2015, 2018) to combine multiple optical and/or Radar satellite time se…☆26Updated 2 years ago
- A list of STAC endpoints for the AWS Open Data Program☆24Updated 2 months ago
- 📦🐍 Mapping deforestation risk following JNR methodology☆24Updated 4 months ago
- ☆13Updated last year
- Utilities to support landscape-, forest-, and tree-related data collection, manipulation, analysis, modelling, and visualization.☆24Updated 2 weeks ago
- 🌎🌏🌏 Google Earth Engine with R : : Cheatsheet 🚀☆17Updated 2 years ago