Bring data to life with SVG, Canvas and HTML. 📊📈🎉

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.

Phenology metrics

Delineates optically shallow and deep waters in Sentinel-2 imagery

Chat with RS-ChatGPT and get the remote sensing interpretation results and the response!

TIFF File, GDAL, Cloud Masking, Threshold, DBSCAN

Satellite cloud removal with Deep Image Prior.

SDB Physics based

netCDF Operators

Removing cloud cover in Sentinel-2 satellite images using only optical data and a novel augmented training approach using conditional GANs.

Cloud masking with convolutional neural networks (CNNs)

Cloud Free Satellite Imagery - source code repository

Python and JavaScript bindings for calling the Earth Engine API.

R package: Extract Remote Sensing Vegetation Phenology by TIMESAT V3.3 Fortran library

R package: A state-of-the-art Vegetation Phenology extraction package, phenofit

This is a demonstration of the Model Tree using (Cubist) package in R

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

Resources for deep learning with satellite & aerial imagery

A repository of custom scripts to be used with Sentinel Hub

A curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!

A Python library for calculating and displaying the skill of model predictions against observations.

Earth observation processing framework for machine learning in Python

Mapping near real-time SST data to monitor current conditions

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning