WaPOR, remote sensing for water productivity

WaPOR applications catalogue

 

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.    

Application
Type
Location
Layers Used
Keywords

Results: 60

WAPlugin (for QGIS)

A plugin for the open-source GIS software that allows users to download WaPOR data directly onto the QGIS canvas and offers the possibility of calculating some water accounting and productivity indicators based on WaPOR data.   

Type: Resource,WaterPIP
Application: 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, Understanding spatial variability of water-related and plant activity-related variables
Layers used: AETI (Actual Evapotranspiration and Interception), E (Evaporation), GBWP (Gross Biomass Water Productivity), I (Interception), LCC (Land Cover Classification), NBWP (Net Biomass Water Productivity), NPP (Net Primary Production), P (Precipitation), Phe (Phenology), qLCC (quality Land Cover Classification), qLST (quality Leaf Surface Temperature), qNDVI (quality Normalized Difference Vegetation Index), RET (Reference Evapotranspiration), T (Transpiration), TBP (Total Biomass Production)
Scale used: 30m, 100m, 250m
Organization/institution: Various
Language: English

A framework for irrigation performance assessment using WaPOR data: the case of a sugarcane estate in Mozambique

In this paper, WaPOR data was agronomically validated and used to compute seasonal indicators for the period 2015 to 2018 in a sugar estate in Mozambique. The WaPOR-based yield estimates were found to be comparable to the estate-measured yields The assessment highlights that in Xinavane no single irrigation method performs the best across all performance indicators.  While this study is done for sugarcane in one irrigation scheme, the approach can be broadened to compare other crops across fields or irrigation schemes across Africa with diverse management units in the different agroclimatic zones within FAO WaPOR coverage. The authors of the study conclude that the framework is useful for assessing irrigation performance using the WaPOR dataset.

Type: Case study,WaterPIP
Location: Mozambique
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, Supporting solutions to reduce yield and productivity gaps, Understanding spatial variability of water-related and plant activity-related variables
Layers used: AETI (Actual Evapotranspiration and Interception), E (Evaporation), GBWP (Gross Biomass Water Productivity), I (Interception), NPP (Net Primary Production), T (Transpiration)
Scale used: 100m
Organization/institution: IHE Delft Institute for Water Education, Delft University of Technology, Wageningen University & Research, Xinavane estate, Inclusive Agri-Food Value Chain Development Programme (PROCAVA), VanderSat B. V.
Language: English

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.

Type: Resource
Application: Understanding spatial variability of water-related and plant activity-related variables
Organization/institution: KfW, MapTailor Geospatial Consulting, Agence Française de Développement
Language: English

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
Location: Egypt
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
Language: English

WaPORACT

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. 

Type: Resource,WaterPIP
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
Organization/institution: eLEAF
Language: English

Utility of Copernicus-Based Inputs for Actual Evapotranspiration Modeling in Support of Sustainable Water Use in Agriculture

  This paper seeks to demontstrate the fitness of Copernicus data in quantifying spatial and temporal patterns of the actual evapotranspiration (ET) which can serve as a direct proxy of crop water use. It posits that, if used to the fullest extent, Copernicus satellite and modelled data can outperform existing ET products derived from remote sensing in terms of spatial-scale consistency, including WaPOR data. 

Type: Resource
Application: Assessing/monitoring the water consumption of crops, Evaluation, Understanding spatial variability of water-related and plant activity-related variables
Layers used: AETI (Actual Evapotranspiration and Interception)
Scale used: 30m, 100m, 250m
Organization/institution: DHI GRAS, COMPLUTIG, University of Castilla-La Mancha, Instituto Técnico Agronómico Provincial (ITAP), Olive Tree Institute, Université de Toulouse
Language: English

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
Location: Lebanon
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
Layers used: 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
Language: English

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
Location: Egypt, Lebanon
Application: Providing advisory services to farmers
Organization/institution: FAO, WMO, GFCS
Language: English

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.

Type: Resource
Application: Evaluation
Layers used: RET (Reference Evapotranspiration)
Organization/institution: Shahid Chamran University of Ahvaz (Iran), Shahrekord University (Iran)
Language: English

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
Location: Mozambique
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
Scale used: 100m
Organization/institution: IHE Delft, Wageningen University, Xinavane Estate, Afri-Food Inclusive Value Chain Development Prog, VanderSat B.V.ramme, Delft University of Technology
Language: English
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