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added Google Earth Engine section

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@ -22,6 +22,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
- [PaaS - Platform as a Service](#paas---platform-as-a-service)
- [SaaS - Software as a Service](#saas---software-as-a-service)
- [DaaS - Data as a Service](#daas---data-as-a-service)
- [Google Earth Engine](#google-earth-engine)
- [Deep Learning](#deep-learning)
- [Python](#python)
- [Perl](#perl)
@ -334,6 +335,17 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
* [OpenStreetMap](http://www.openstreetmap.org/) - OpenStreeMap map service.
## Google Earth Engine
* [geemap](https://github.com/giswqs/geemap) - A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.
* [rgee](https://github.com/r-spatial/rgee) - Google Earth Engine for R.
* [earthEngineGrabR](https://github.com/JesJehle/earthEngineGrabR) - The earthEngineGrabR is an interface between R and the Google Earth Engine, which simplifies the acquisition of remote sensing data.
* [geeup](https://github.com/samapriya/geeup) - Simple CLI for Earth Engine Uploads.
* [exploreRGEE](https://github.com/joshualerickson/exploreRGEE) - Google Earth Engine (GEE) in the Rstudio IDE.
* [landsat-extract-gee](https://github.com/loicdtx/landsat-extract-gee) - Get Landsat surface reflectance time-series from google earth engine.
* [gee-atmcorr-S2](https://github.com/samsammurphy/gee-atmcorr-S2) - Atmospheric correction of Sentinel 2 imagery in Google Earth Engine using Py6S.
## Deep Learning
* [Raster Vision](https://github.com/azavea/raster-vision) - An open source framework for deep learning on satellite and aerial imagery.