amarcozzi

pystac

Python library for working with any SpatioTemporal Asset Catalog (STAC)

firebehavioR

Functions for estimating wildland fire hazard using common models in the US.

stemmaps

Collection of (x,y) mapped vegetation (stem-maps)

quicfire-tools

Input and output tools for working with QUIC-Fire

geoutils

Analysis of georeferenced rasters and vectors

odc-geo

GeoBox and geometry utilities extracted from datacube-core

datacube-core

Open Data Cube analyses continental scale Earth Observation data through time

odc-stac

Load STAC items into xarray Datasets.

fastfuels-core

Core algorithms for FastFuels

nsvb

National Scale Volume and Biomass Estimators

taichi

Productive, portable, and performant GPU programming in Python.

stackstac

Turn a STAC catalog into a dask-based xarray

TreeCountSegHeight

Code for paper

urban-tree-detection

detectree

Tree detection from aerial imagery in Python

Era3D

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".

OpenSplat

Production-grade 3D gaussian splatting with CPU/GPU support for Windows, Mac and Linux 🚀

gsplat

CUDA accelerated rasterization of gaussian splatting

LoG

Level of Gaussians

sentinel-tree-cover

Image segmentations of trees outside forest

NeonTreeEvaluation

Benchmark dataset for tree detection for airborne RGB, Hyperspectral and LIDAR imagery

awesome-forests

🌳 A curated list of ground-truth forest datasets for the machine learning and forestry community.

cvat

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

professional-programming

A collection of learning resources for curious software engineers

End-to-End-AI-for-Science

This repository containts materials for End-to-End AI for Science

3DFin

3D Forest INventory

fastfuels-sdk-python

Python SDK for the FastFuels API