Near Real Time monitoring of satellite image time-series
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Updated
May 13, 2024 - Python
Near Real Time monitoring of satellite image time-series
A dockerized toolbox for easily searching, downloading & processing remote sensing imagery from various public sources.
Estimación de turbidez en el agua a la entrada de la planta de tratamiento de SAMEEP, utilizando los productos Sentinel-2 MSI L2A y aprendizaje automático.
🍿POPCORN: High-resolution Population Maps Derived from Sentinel-1 and Sentinel-2 🌍🛰️
Remote sensing data processing
The Clay Foundation Model (in development)
Docker image of ESA Sentinel Application Platform (SNAP) from http://step.esa.int/main/toolboxes/snap/ . Download at https://hub.docker.com/r/mundialis/esa-snap
Generating intertidal elevation, exposure and extents from satellite earth observation data and ocean tide modelling
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
Satellite image time series in R
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
Bangkok Building Height Estimation from Open Remote Sensing .... Thepchai Srinoi Thesis for Master of Engineering (Survey Engineering) Chulalongkorn University
Estimate cyanobacteria density based on Sentinel-2 satellite imagery
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Tools and tutorials for the SALDi Data Cube (SDC).
Docker image containing sen2cor atmospheric correction software
Develop a technology for detecting mining sites using images from the optical satellite Sentinel-2. Specifically, it involves classifying images that contain mining sites and those that do not.
Global shoreline mapping tool from satellite imagery
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