fdbesanto2's repositories

License:MITStargazers:0Issues:0Issues:0

awesome-notebooks

A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.

License:BSD-3-ClauseStargazers:0Issues:0Issues:0

bap

Best Available Pixel calculation using Google Earth Engine

Language:JavaScriptLicense:MITStargazers:0Issues:0Issues:0

bibtex-tidy

Cleaner and Formatter for BibTeX files

Language:TeXLicense:MITStargazers:0Issues:0Issues:0

BioPAL

BIOMASS Product Algorithm Laboratory

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

datasets

Datasets for deep learning with satellite & aerial imagery

Stargazers:0Issues:0Issues:0

geog0111_NEW

UCL MSc coursenotes

License:GPL-3.0Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0
Language:Jupyter NotebookLicense:NOASSERTIONStargazers:0Issues:0Issues:0

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".

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

HORAYZON

Package to efficiently compute terrain parameters (like horizon, sky view factor, topographic openness, slope angle/aspect) from high-resolution digital elevation model (DEM) data. The package also allows to compute shadow maps and correction factors for downwelling direct shortwave radiation for specific sun positions.

Language:CythonLicense:MITStargazers:0Issues:0Issues:0

Landsat_SMW_LST

Land Surface Temperature from Landsat on Google Earth Engine

Language:JavaScriptStargazers:0Issues:0Issues:0
Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

lidar-prod

A production AI brick that augments a rule-based Lidar classification with AI predictions and vector database.

License:BSD-3-ClauseStargazers:0Issues:0Issues:0
Language:RStargazers:0Issues:0Issues:0

lidRbook

The lidR package tutorials book :book:

Language:CSSLicense:NOASSERTIONStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0
License:CC0-1.0Stargazers:0Issues:0Issues:0

myria3d

Myria3D: Aerial Lidar HD Semantic Segmentation with Deep Learning

License:BSD-3-ClauseStargazers:0Issues:0Issues:0

odeon

ODEON is a task-agnostic framework for deep learning applied to remote sensing

License:Apache-2.0Stargazers:0Issues:0Issues:0

online-cv

A minimal Jekyll Theme to host your resume (CV)

Language:CSSStargazers:0Issues:0Issues:0

PlanetaryComputerExamples

Examples of using the Planetary Computer

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

pyntcloud

pyntcloud is a Python library for working with 3D point clouds.

License:MITStargazers:0Issues:0Issues:0

segment-lidar

Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.

Language:PythonLicense:BSD-3-ClauseStargazers:0Issues:0Issues:0

Self-Hosting-Guide

Self-Hosting Guide. Learn all about locally hosting (on premises & private web servers) and managing software applications by yourself or your organization. Including Cloud, WireGuard, Automation, Home Assistant, and Networking.

Stargazers:0Issues:0Issues:0

sentinel-tree-cover

Image segmentations of trees outside forest

License:GPL-3.0Stargazers:0Issues:0Issues:0

skorch

A scikit-learn compatible neural network library that wraps PyTorch

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:0Issues:0Issues:0

spanner

Utilities to support landscape-, forest-, and tree-related data collection, manipulation, analysis, modelling, and visualization.

Language:C++License:GPL-3.0Stargazers:0Issues:0Issues:0

starred

creating your own Awesome List by GitHub stars!

License:MITStargazers:0Issues:0Issues:0

TreeCountSegHeight

Code for paper

License:Apache-2.0Stargazers:0Issues:0Issues:0