Anthony Marcozzi's starred repositories
DeepForest
Python Package for Airborne RGB machine learning
MillionTrees
The MillionTreesBenchmark
tree-detection-evo
Code repository for the paper Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks
stac-api-spec
SpatioTemporal Asset Catalog API specification - an API to make geospatial assets openly searchable and crawlable
stac-fastapi
STAC API implementation with FastAPI.
progress-table
Display progress as a pretty table in the command line.
firebehavioR
Functions for estimating wildland fire hazard using common models in the US.
quicfire-tools
Input and output tools for working with QUIC-Fire
datacube-core
Open Data Cube analyses continental scale Earth Observation data through time
fastfuels-core
Core algorithms for FastFuels
TreeCountSegHeight
Code for paper
PlanetaryComputerExamples
Examples of using the Planetary Computer
global-canopy-height-model
This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estimates canopy top height for every Sentinel-2 image pixel and was trained using sparse GEDI LIDAR data as a reference.
HighResCanopyHeight
This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar".