qinmaNNU / NYCtreesLinks
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.
☆15Updated 2 years ago
Alternatives and similar repositories for NYCtrees
Users that are interested in NYCtrees are comparing it to the libraries listed below
Sorting:
- Road corrections and measurements from ALS data☆21Updated 6 months ago
- TALLO database☆34Updated 2 years ago
- 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☆27Updated last year
- Code and Tutorials for the 2023 Silvilaser GEDI Workshop☆14Updated last year
- Extract a tree list, CHM, DTM, and more from .las|.laz point cloud data☆10Updated last month
- Notebook for the GRASS GIS for remote sensing data processing and analysis workshop at FOSS4G 2022 in Florence☆24Updated 2 years ago
- Scraping, parsing, and analyzing every public Earth Engine repository☆19Updated 3 years ago
- An R package for NASA’s GEDI Level 4A data download, processing and visualization.☆24Updated 2 years ago
- A list of Diamond Open Access Journals in Geoinformatics and others☆12Updated 3 months ago
- ☆46Updated last month
- ☆14Updated 3 years ago
- Vectorisation of road network☆10Updated last year
- ☆34Updated last week
- Evaluating the performance of various point cloud processing tools.☆19Updated 6 months ago
- ☆23Updated this week
- 📦🐍 Mapping deforestation risk following JNR methodology☆26Updated 10 months ago
- Extra functions and algorithms for lidR package☆47Updated 2 years ago
- PlotToSat can extract time-series from Sentinel-1 and Sentinel-2 at multiple to thousands of plots (circular regions)☆20Updated 2 weeks ago
- This tutorial demonstrates how to extract streams and watersheds from high resolution digital elevation models☆24Updated last year
- An automated system for creating spectrally consistent and cloud-free Landsat image time series stacks from a combination of MSS, TM, ETM…☆49Updated 9 months ago
- 🌎🌏🌏 Google Earth Engine with R : : Cheatsheet 🚀☆17Updated 3 years ago
- Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes☆25Updated this week
- Various blending functions for Google Earth Engine☆37Updated 3 years ago
- Material for the session "Introduction to Deep Learning in R for the analysis of UAV-based remote sensing data"☆23Updated 3 years ago
- Ressources for the session on machine learning and remote sensing at the OpenGeoHub Summer school in Wageningen 2020☆15Updated 4 years ago
- Rmarkdown tutorial on how to generate spatial sampling and how to use resampling methods for ML☆13Updated last year
- Repo for tools to calculate landscape metrics in Google Earth Engine☆37Updated 7 months ago
- Structured allometric models for trees☆70Updated 8 months ago
- forestr R package☆29Updated last year
- Additional point cloud metrics to use with *_metric functions in lidR☆20Updated 2 months ago