geemap
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A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
### Description Hello, I would like to make a feature request. The addition of add_legend to plotlymap module. I have read the different features in the module but the addition...
Sample dataset: https://developers.google.com/earth-engine/datasets/catalog/NOAA_GFS0P25 https://user-images.githubusercontent.com/5016453/114443862-33ba8f80-9b9c-11eb-9d57-2209e5ec39e7.mp4
This will allow users to select features from ee.FeatureCollection interactively on the map without coding.
The latest JupyterLab 3 now supports creating dashboards using drag-and-drop. It would great to have an Earth Engine App template so that users can customize the app layout to create...
I would like to enable people to use geemap in their data apps via Panel. Panel supports ipywidgets in general via `ipywidgets_bokeh`. See https://panel.holoviz.org/reference/panes/IPyWidget.html#panes-gallery-ipywidget. I can see geemap is built...
Dear Dr. Wu, The [DEA Sandbox](https://docs.dea.ga.gov.au/about/intro.html) has some APIs abouth phenology analysis. For example, [xr_phenology](https://github.com/GeoscienceAustralia/dea-notebooks/blob/develop/Tools/dea_tools/temporal.py) and [Tutorials](https://docs.dea.ga.gov.au/notebooks/Real_world_examples/Vegetation_phenology.html). However, one of the input parameter [ds] is a xarray.Dataset object. I want...
Geemap is adding a collection of [algorithm modules](https://github.com/giswqs/geemap/tree/master/geemap/algorithms) dedicated to various GEE applications, such as surface water, vegetation, agriculture, hydrology, urban, weather, climate, land cover, image processing, machine learning, deep...
The current implementation can be improved by creating all classes beforehand and users can select whatever class to create training samples. https://user-images.githubusercontent.com/5016453/117547827-b994f380-afff-11eb-8371-144c4a778c54.mp4
### Description There has been current discussion on implementing PROBABILITY output modes with the locally trained RF models (#522 ). The recent PR to support this request (#550) only works...
The sankee GUI comes with three preloaded datasets (i.e., NLCD, MODIS, CGLS). It would be great to support custom datasets added to the map. Reference: https://github.com/aazuspan/sankee#using-a-custom-dataset