Jupyter notebooks on WaPOR based monitoring of water productivity and irrigation performance indicator
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Updated
Jun 2, 2024 - Jupyter Notebook
Jupyter notebooks on WaPOR based monitoring of water productivity and irrigation performance indicator
Jupyter notebooks for 'Water Accounting and Water Productivity using WaPOR' course (https://ocw.un-ihe.org/course/view.php?id=92)
Open-source Python toolkit for water data, hydrology, and agricultural water management — 29 unified collectors (USGS, UK EA, Hub'Eau, GRDC, BOM, FAO…), Bulletin 17C flood frequency, FAO-56 ET₀, an MCP server, and an AI methodology recommender.
Rapid Water Accounting analysis using WaPOR datasets
R Package for the download and analysis of FAO WaPOR data set for agricultural productivity
📝 Ipython notebooks that contain code snippets on how to use FAO's WaPOR database API in Python
Satellite-based water productivity monitoring of 166 center-pivot irrigation systems in West West Minya, Egypt. Four-season WaPOR v3 L3 analysis (2021–2025).
QGIS Plugin for FAO WaPOR-based water productivity analysis - No API token required!
Advanced automation software for FAO Water Accounting Plus (WA+) framework. Connects directly to WaPOR API & eliminates external GIS dependency.
Machine Learning and Climate Data Analysis for Zankalon, Egypt: AETI Predictions Using AgERA5, WaPOR, and CMIP6 Models
Organize and run PHP code examples in interactive notebooks to test, learn, and share PHP programming concepts efficiently.
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