This catalogue of applications is a repository of case studies and resources created to foster a better understanding of the multiple ways in which WaPOR data can be of use to you. Use the search tools to narrow the results to what is of most interest to you.
MAPME: maps for planning, monitoring and evaluation in development cooperation
MAPME is an initiative by KfW, MapTailor Geospatial Consulting, and Agence Française de Développement to provide free and open access to GIS tools and Earth observation in international development cooperation. MAPME repositories contain R codes allow the users to generate various statistics on land use / land cover and vegetation trends to gain insights in a given project area. Currently there are 3 repositories; mapme.agriculture is the R package that supports users to query, download and process data from the FAO WaPOR API. The package helps to quickly query and download the necessary data files to conduct an analysis of agricultural productivity related to biomass production and the amount of water used by crops and other vegetation types.
Application: Understanding spatial variability of water-related and plant activity-related variables
Organization/institution: KfW, MapTailor Geospatial Consulting, Agence Française de Développement
A Practical Farmers’ Toolkit – Geodata for Climate Smart Agriculture in Egypt
The 'Farmers Toolkit' as presented in this project contains various geodata tools applicable for farmers to assist their decision-making and adopt climate smart agricultural practices, WaPOR data being one of the them. This project aims at training extension officers in the use of these geodata tools.
In addition to WaPOR, other tools are: Flying Sensors, irrigation advisory services (IrriWatch portal), Google Earthengine Apps, and Climate Risk Assessments. The training providers consortium (FutureWater, IrriWatch, Delphy, Cairo University and HiView) are tailoring the activities towards the requirements of the selected beneficiaries which are private companies, consultants, and NGO's active as extension officers in the agricultural sector of Egypt. The training program is a unique combination of face-to-face training, online teaching, and field schools conducted throughout the growing season of 2021.
This project trained extension users in the use of the smartphone application IRWI for the irrigation of corn fields in Egypt.
Type: Case study
Application: Monitoring and supporting decisions to improve irrigation, Providing advisory services to farmers, Supporting solutions to reduce yield and productivity gaps, Understanding spatial variability of water-related and plant activity-related variables
Organization/institution: IrriWatch, Delphy, Cairo University, HiView, FutureWater
It is a suite of Python tools that permit the retrieval, the aggregation, the analysis, the visualization and the dissemination of FAO WaPOR water productivity data. The package is an attempt to provide users with a starting point with which to start producing actionable data from the the WaPOR datasets in a quick and repeatable manner. It provides the building blocks for customized tool development to target specific user needs including a framework for irrigation performance analysis.
Application: Analyzing yield and/or water productivity gaps, Assessing/monitoring changes in agricultural production, Assessing/monitoring the water consumption of crops, Assessing/monitoring water and/or land productivity, Monitoring and supporting decisions to improve irrigation, Supporting solutions to reduce yield and productivity gaps, Understanding spatial variability of water-related and plant activity-related variables
Translating open-source remote sensing data to crop water productivity improvement actions
Remote sensing data has great potential to change the way we interact with and understand our agricultural systems. Yet, much work and expertise goes from the data to information and from information to actions. This paper presents a framewok for translating open-source remotely-sensed water productivity data (from the WaPOR database) into actionnable information at the field level, it presents a water stress sensitivity index as well as six crucial water productivity factors and discusses key findings relating to the improvement of water productivity.
Type: Case study
Application: Assessing/monitoring water and/or land productivity, Monitoring and supporting decisions to improve irrigation, Supporting solutions to reduce yield and productivity gaps, Understanding spatial variability of water-related and plant activity-related variables
AETI (Actual Evapotranspiration and Interception), LCC (Land Cover Classification), NPP (Net Primary Production), qLCC (quality Land Cover Classification), qNDVI (quality Normalized Difference Vegetation Index)
Organization/institution: IHE Delft Institute for Water Education, Wageningen University and Research
Global outlook on climate services in agriculture: Investment opportunities to reach the last mile
This report published by the FAO presents the latest data on the state of climate services for agricultural users with surveys from 36 countries across all FAO regions. The report presents case studies that highlight additional challenges, opportunities and lessons learned from specific interventions across the climate services provision framework.
Two applications that use WaPOR data (that are already featured in this catalog as single entries) are presented in this report (page 57). This allows to place efforts that include WaPOR data in the wider picture of all the ecosystem of climate services in agriculture.
Type: Case study
Application: Providing advisory services to farmers
Organization/institution: FAO, WMO, GFCS
Evaluation of FAO’s WaPOR product in estimating the reference evapotranspiration for stream flow modeling
The lack of adequate data is an issue that unfortunately affects many parts of the world. This paper evaluates the adequacy of WaPOR reference evapotranspiration data to be used as a good alternative to the Modified Hargreaves-Samani and Penman-Monteith methods as input for stream flow models (HBV hydrological model for simulating the runoff) where there is a shortage or lack of meteorological data.
Organization/institution: Shahid Chamran University of Ahvaz (Iran), Shahrekord University (Iran)
A Framework for Irrigation Performance Assessment Using WaPOR data: The case of a Sugarcane Estate in Mozambique
This paper introduces a framework for assessing irrigation performance using WaPOR data to estimate a set of inficators: uniformity, equity, adequacy, land and water productivity. The framework is applied to a sugar estate in Xinavane, in Mozambique. In addition to that, estate-measured yields were used to verify WaPOR data.
Type: Case study,Resource
Application: Analyzing yield and/or water productivity gaps, Assessing/monitoring changes in agricultural production, Assessing/monitoring the water consumption of crops, Evaluation, Monitoring and supporting decisions to improve irrigation
Organization/institution: IHE Delft, Wageningen University, Xinavane Estate, Afri-Food Inclusive Value Chain Development Prog, VanderSat B.V.ramme, Delft University of Technology
Analysis of spatiotemporal variability of water productivity in Ethiopian sugar estates: using open access remote sensing source
The authors of this paper seel to map the seasonal and spatial variability of agricultural water productivity of sugarcane crop in three large irrigation schemes of Ethiopia (Wonji, Fincha’a and Metahara) using WaPOR data.
Type: Case study
Application: Assessing/monitoring the water consumption of crops, Assessing/monitoring water and/or land productivity, Understanding spatial variability of water-related and plant activity-related variables
AETI (Actual Evapotranspiration and Interception), NPP (Net Primary Production)
Organization/institution: Ambo University, Addis Ababa University, ArbaMinch University
Balancing Water Demands and Increasing Climate Resilience: Establishing a Baseline Water Risk Assessment Model in Ethiopia
In this paper, WaPOR data is used, in conjunction with other datasets, as input to compute a national baseline model for mapping water risks across Ethiopia. This model estimates water withdrawal and consumption for irrigation, livestock, domestic, and industrial water use, with 2015 as a baseline. Through four indicators: baseline water stress, months of water scarcity, seasonal variability, and interannual variability, it offers a broad picture of water risk.
Type: Case study
Application: Assessing/monitoring water resources, Understanding spatial variability of water-related and plant activity-related variables
AETI (Actual Evapotranspiration and Interception), LCC (Land Cover Classification)
Organization/institution: World Resources Institute (WRI)
WaPOR for monitoring agriculture in conflict areas
Agricultural data occupies a central place in how our food systems are presently managed as well as the resources linked to them such as water or other inputs. In light of that, their collection has to be well distributed both spatially and temporally. Spatially so as to have a complete understanding of the area of interest and temporally, so as to build a database of historical data that allows trends to be identified and changes to be quantified.
Unfortunately, in periods of conflict, the mechanisms for collecting agricultural data can be disrupted as it might be too unsafe for data to be collected in-situ, or crucial data-collecting infrastructure might be damaged. In such cases, remote sensing data (or earth observations data) can constitute a viable data source to turn to as an alternative or a complement.
This case study explores the use of WaPOR data to monitor agricultural activity in conflict areas by focusing on the use of WaPOR data in Syria.
Type: Case study
Application: Assessing/monitoring the impact of a stressor (drought, conflict, … ) on agriculture
AETI (Actual Evapotranspiration and Interception), LCC (Land Cover Classification), P (Precipitation)