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@ -363,6 +363,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
* [AIDE](https://github.com/microsoft/aerial_wildlife_detection) - Annotation Interface for Data-driven Ecology: Tools for detecting wildlife in aerial images using active learning * [AIDE](https://github.com/microsoft/aerial_wildlife_detection) - Annotation Interface for Data-driven Ecology: Tools for detecting wildlife in aerial images using active learning
* [AirNet](https://github.com/mathildor/TF-SegNet) - SegNet-like network implemented in TensorFlow to use for segmenting aerial images. * [AirNet](https://github.com/mathildor/TF-SegNet) - SegNet-like network implemented in TensorFlow to use for segmenting aerial images.
* [Deep Learning ArcGIS](https://github.com/Esri/deep-learning-frameworks) - Deep Learning Libraries Installers for ArcGIS. * [Deep Learning ArcGIS](https://github.com/Esri/deep-learning-frameworks) - Deep Learning Libraries Installers for ArcGIS.
* [DeepForest](https://github.com/weecology/DeepForest) - Python Package for Tree Crown Detection in Airborne RGB imagery.
* [eo-learn](https://github.com/sentinel-hub/eo-learn) - Earth observation processing framework for machine learning in Python. * [eo-learn](https://github.com/sentinel-hub/eo-learn) - Earth observation processing framework for machine learning in Python.
* [Hyperspectral](https://github.com/KGPML/Hyperspectral) - Deep Learning for Land-cover Classification in Hyperspectral Images. * [Hyperspectral](https://github.com/KGPML/Hyperspectral) - Deep Learning for Land-cover Classification in Hyperspectral Images.
* [Label Maker](https://github.com/developmentseed/label-maker) - Data Preparation for Satellite Machine Learning. * [Label Maker](https://github.com/developmentseed/label-maker) - Data Preparation for Satellite Machine Learning.