Code for Calibration Value INtegration (CalVIN) project

A-train cloud collocations.

Scripts and utilities to access, process and visualize NOAA's Joint Polar Satellite System (JPSS) data

Python scripts for the "Geostationary Satellites Data Processing With Python" training course (CPTEC / INPE) - Mar / 2021

Python scripts for the "NWP Data Acquisition, Processing and Visualization With Python" training course (INPE / CPTEC) - Jul / 2021

eXplainable Artificial intelligence for spatio-temporal (txy) data

Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.

Visualization of CALIPSO (VOCAL). A CALIPSO Cross Cutting tool for visualizing data

Scripts creating plots of GSI data

Scripts para análisis de datos de GOES, MODIS, GPM, TRMM ...

Machine learning for anomaly detection in Global Imagery Browse Services (GIBS) Earth satellite imagery.

AI Assistant Plugin for Obsidian

Exploratory project for the creation of enhanced discriminatory false-color RGB composites in polar regions.

Scripts for "Emerging importance of clouds for Greenland Ice Sheet meltwater production due to decreasing albedo"

Created a UNet3+ model to detect settlements using satellite images

Utilized SegmentationCNN, FCNResnet Transfer, UNet, and a Random Forest Classifier to accurately detect settlements and electricity in Sub Saharan Africa.

Develop machine learning models for poverty estimation

Repo for the gcp flask server displaying firenet predictions

A tool to perform match-up extraction for ocean color satellite sensors

HYDrologic Remote sensing Analysis for Floods Python package

AIHackillinois spring 2020 cloud detection project

MR-DNN: is based on deep learning used to extract rice field from Landsat 8 satellite imagery. Using publicly available satellite imagery data we train a convolutional neural net to predict rice fi…