landsat-8

A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

Global shoreline mapping tool from satellite imagery

Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.

deck.gl layers and WebGL modules for client-side satellite imagery analysis

A sensor invariant Atmospheric Correction (SIAC)

Q. Zhang, Q. Yuan, J. Li, Z. Li, H. Shen, and L. Zhang, "Thick Cloud and Cloud Shadow Removal in Multitemporal Images using Progressively Spatio-Temporal Patch Group Learning", ISPRS Journal, 2020.

Package designed to detect and quantify water quality and cyanobacterial harmful algal bloom (CHABs) from remotely sensed imagery

To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor

A simple python script that, given a location and a date, uses the Nasa Earth API to show a photo taken by the Landsat 8 satellite. The script must be executed on the command-line.

2D/3D WebGL Landsat 8 satellite image analysis

Sentinel 2 and Landsat 8 Atmospheric correction

It contains Google Earth Engine codes (JavaScript API) to process Sentinel-1 and Landsat 8 images to compute SAR and optical vegetation indices.

Using Vision Transformers for enhanced wildfire detection in satellite images

Python code for paper "Automatic coastline extraction through enhanced sea-land segmentation by modifying Standard U-Net", JAG 2022

Remote sensing data processing

Reproducible remote sensing analysis using Google Earth Engine (GEE) to identify vegetation change in Columbia.

Compare Spectrograms of Hyperspectral and Multispectral Satellite Missions

Auto-updating global Landsat 8 mosaic of Cloud-Optimized GeoTIFFs from SNS notifications

High-Resolution Cloud Detection Network

Google Earth Engine App for exploring Landsat 8 multispectral imagery.