fdbesanto2's repositories
30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
adv-r
Advanced R: a book
Amazon-Indigenous-Carbon
Data central to the analysis reported by Walker et al. (2020) on the carbon dynamics of Amazon protected lands.
arosics
AROSICS - Automated and Robust Open-Source Image Co-Registration Software
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.
bap
Best Available Pixel calculation using Google Earth Engine
bibtex-tidy
Cleaner and Formatter for BibTeX files
chewie
A package to efficiently download GEDI data
ForestCarbonPotentialProject
This is the code for the forest carbon potential project
ForestLandscapes
ForestLanscapes contains all the processing worflows of the publications listed
geocompy
Geocomputation with Python: an open source book
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".
HLS-Data-Resources
This repository provides guides, short how-tos, and tutorials to help users access and work with Harmonized Landsat Sentinel-2 (HLS) data.
ISRO_Bhoonidhi_Satellite_Data_Repository
A Dataset and Visualisation of ISRO's Satellite Data Repository Over Time
lidar-prod
A production AI brick that augments a rule-based Lidar classification with AI predictions and vector database.
mmdetection-satellite-dinov2
mmdetection-satellite-dinov2
myria3d
Myria3D: Aerial Lidar HD Semantic Segmentation with Deep Learning
notebooks
interactive notebooks from Planet Engineering
odeon
ODEON is a task-agnostic framework for deep learning applied to remote sensing
OpenForest
:evergreen_tree: :deciduous_tree: :palm_tree: A catalogue of open access forest datasets
postfire-recovery-spectral-recovery
This repository contains data, scripts, and figures for the manuscript entitled 'A fast spectral recovery does not necessarily indicate post-fire forest recovery' which compares spectral recovery, topographic and climatic data, and field measurements of post-fire vegetation dynamics in the Blue Mountains, OR. For more information, see the README
pyntcloud
pyntcloud is a Python library for working with 3D point clouds.
R3DFEM
An R package for running the 3D-CMCC-FEM model
segment-lidar
Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.
starred
creating your own Awesome List by GitHub stars!