This training primarily focuses on providing online technical instruction on Water Productivity (WP) and Irrigation Performance Assessment (IPA)for the Mwea irrigation scheme using FAO's WaPOR data. It begins by introducing the concepts of IPA, Python programming for downloading WaPOR data, and performing geospatial analyses with it. Participants will also learn to use tailored Python scripts for IPA within the Mwea irrigation scheme and how to publish results on a dashboard. Trainees should have a basic understanding of remote sensing data and GIS. Based on a needs assessment, a few days of in-person training may be organized toward the end of the program.

Skill Level: Beginner

Learn the basics of QGIS through applications for hydrology and water management

Skill Level: Beginner

Resource management and regional policies; WEF Nexus assessments; Networking and mentoring

Skill Level: Beginner
Skill Level: Beginner

Resource management and regional policies; WEF Nexus assessments; Networking and mentoring

Skill Level: Beginner

This course provides recipes for catchment hydrology and water management, and introduces new QGIS plugins, features and datasets that greatly improve the workflow and user experience.

Skill Level: Beginner
This course will introduce you to Google Earth Engine (GEE). Google Earth Engine is a cloud-based platform that enables large-scale processing of satellite imagery to detect changes, map trends, and quantify differences on the Earth’s surface.
Skill Level: Beginner
The course aims to explain the Water Accounting Plus (WA+) approach and teach participants how to use WA+ to conduct a water accounting analysis of a common study area. This will be done by developing skills to use remote sensing for water accounting computations, specifically the vertical water balance at the pixel level and the generation of the water resources overview sheet (Sheet 1) based on WaPOR data. This will prepare participants to begin applying WA+ in their own case study.
Skill Level: Beginner
Dans ce cours d'introduction, vous apprendrez une compétence essentielle pour les chercheurs traitant de données (spatiales). L'apprentissage des compétences en programmation améliorera votre base technique pour des analyses plus avancées, et rendra les analyses plus efficaces et reproductibles. Avec les scripts, vous pouvez mieux contrôler votre analyse à l'aide d'outils de ligne de commande. Vous pouvez également automatiser vos procédures en écrivant des scripts batch. De plus, vous pouvez traiter vos données et créer des modèles à l'aide de Python et de ses bibliothèques utiles.

Objectifs d'apprentissage:
- Gérer les fichiers et dossiers à l'aide de la ligne de commande
- Utilisez GDAL à partir de la ligne de commande pour convertir les formats SIG et reprojeter les fichiers SIG
- Utiliser la ligne de commande pour le traitement par lots
- Faire des scripts en Python

Conditions préalables:
- Connaissance des SIG, des données spatiales et des projections
Skill Level: Beginner
Skill Level: Beginner

DUPC2 project

Skill Level: Beginner