Metadata-Version: 2.1
Name: dream_river
Version: 0.0.1
Summary: This is a library that contain rice detection tools and other geospatial tools for jupyter environment on https://sphere.gistda.or.th/ in part of Data Cube
Home-page: https://github.com/Pathakorn40/rice-detection
Author: Pathakorn Usaha
Author-email: dreamusaha@gmail.com
License: MIT
Download-URL: https://pypi.org/project/dream_river/
Keywords: geography,geospatiol,gis,rice detection
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
License-File: LICENSE
License-File: LICENSE.txt

This is a library that contain rice cultivated area detection tools and other geospatial tools for jupyter environment on https://sphere.gistda.or.th/ in part of Data Cube. Thus, you needs go to [sphere.gistda](https://sphere.gistda.or.th/) and [register the account](https://auth.sphere.gistda.or.th/auth/realms/sphere/protocol/openid-connect/registrations?client_id=frontend-iframe&redirect_uri=https%3A%2F%2Fsphere.gistda.or.th%2Fdashboard&state=b1580907-8f21-4a28-bd78-8cfa2ff9064b&response_mode=fragment&response_type=code&scope=openid&nonce=20300185-bc7b-4695-92c4-aa3159db0812&ui_locales=en) to access jupyter lab environment interactively from a browser.

