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Python scripts for the "NWP Data Acquisition, Processing and Visualization With Python" training course (INPE / CPTEC) - Jul / 2021
This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Earth Surface Mineral Dust Source Investigation (EMIT) mission.
Public repository of our IGARSS 2023 submission
Predicting Burned Areas on Landsat 5 Images using Machine Learning in Python: A Comprehensive Guide
DiffusionFastForward: a free course and experimental framework for diffusion-based generative models
NASAaccess is R package that can generate gridded ascii tables of climate (CIMP5) and weather data (GPM, TRMM, GLDAS) needed to drive various hydrological models (e.g., SWAT, VIC, RHESSys, ..etc)
A web app to create interactive temperature and precipitation graphs for places around the world
Repository containing the read-the-docs source code for the good practice guide, developed as part of the Copernicus Earth Observation Data Visualisation Workshop series, held between 16 May to 20 …
Repository containing presentations made during the Copernicus Earth Observation Data Visualisation workshop series (16 May to 20 June 2023), including links to the resulting best practice guide.
A Python package for Remote Sensing Data Analysis
Community Datasets added by users and made available for use at large
Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
On-Demand Earth System Data Cubes (ESDCs) in Python
A gallery of Jupyter Notebooks dedicated to Copernicus Marine Service (CMEMS).
cuIBM: a GPU-based immersed boundary method code.
PyGBe: Python, GPUs and Boundary elements for electrostatics
Python interface to Metview meteorological workstation and batch system
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
Convolutional neural network model based on the architecture of the Faster-RCNN for wildfire smoke detection.
A collection of 300+ Python examples for using Google Earth Engine in QGIS
Techniques for deep learning with satellite & aerial imagery
Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors