Earth Observation Data Access Gateway
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Updated
Jun 12, 2024 - Python
Earth Observation Data Access Gateway
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
An interactive toolbox for downloading satellite imagery, applying image segmentation models, mapping shoreline positions and more. The mapping extension for CoastSat and Zoo.
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
We have created a Jupyter Notebook to use with NASA PACE data employing HyperCoast to download the data and then view and process these hyperspectral data using traditional python code.
A ninja python package that unifies the Google Earth Engine ecosystem.
Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).
A list of all the scale and offset parameters for each raster dataset in Google Earth Engine.
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
This is a Science and Technology Society (STS) of Sarasota-Manatee Counties that shows the data from a series of NASA STELLA-Q2 Spectrometer readings on a number of vegetative species with calculations of NDVI to differentiate species using Decision Tree logic and Knn from the mean end member data.
This repository contains code examples which demonstrate how users can access the CMRSET actual evapotranspiration data product and related data services.
CloudMasking is a Qgis plugin for make the masking of clouds, cloud shadow, cirrus, aerosols, ice/snow and water for Landsat (4, 5, 7, 8, 9) products using different process such as Fmask, Blue Band, Cloud QA and QA Band.
The CCD-Plugin uses Google Earth Engine to get Landsat or Sentinel2 datasets and run the Continuous Change Detection (CCDC) algorithm to analyze the trends and breakpoints of change over multi-year time series at a given coordinate.
Satellite image time series in R
The Science and Technology Society of Sarasota-Manatee Counties use Landsat data to calculate Normalized Difference Vegetative Index (NDVI) from Landsat NIR and Red Bands and Panchromatic Normalized Difference Vegetative Index (PNDVI) from Panchromatic and NIR Bands to assess the health of Mangrove Forests in Sarasota Bay
GRASS GIS Addon to remove clouds (e.g. Sentinel-2, Landsat), aiming at filling raster gaps using r.series and r.series.lwr and aggregates temporally the maps of a space time raster dataset by a user defined granularity using t.rast.aggregate
A collection of Imagery Explorer web applications developed by Esri's ArcGIS Living Atlas team
Atmospheric correction processor for high spatial resolution multispectral satellite images
Pipeline for remotely sensed imagery. The pipeline processes satellite imagery alongside auxiliary data in multiple steps to arrive at a set of trend files related to land-cover changes.
Field-scale groundwater pumping estimation using OpenET
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