Merged conda env for coastsat, rio-tiler, localtileserver

[dbuscombe-usgs]

A first cut is this

## conda env create --file env/environment.yml
name: coastseg
channels:
- defaults
- conda-forge
dependencies:
- python=3.7
- earthengine-api
- google-api-python-client
- gdal
- rasterio
- pandas
- geopandas
- numpy
- matplotlib
- pillow
- pytz
- scikit-image
- scikit-learn
- shapely
- scipy
- astropy
- jupyter
- ipython
- pip
- pip:
   - localtileserver
   - rio-tiler

this is a bloated environment that is slow/ hard to install

• need to revisit whether pytz, astropy, shapely, and possibly others are required

[dbuscombe-usgs]

rio-tiler has issues with gdal paths

Looking at leafmap

https://leafmap.org/