In this Water Productivity Masterclass Series webinar (week 3), the process for downloading data from the WaPOR portal is introduced. Using python, the webinar hosts showcase both how to process data in QGIS and how to assess water productivity and other performance indicators using python scrips and WaPOR data. 

Type: Resource,WaterPIP

Application: Assessing/monitoring water and/or land productivity

Layers used: AETI (Actual Evapotranspiration and Interception), LCC (Land Cover Classification), NPP (Net Primary Production), RET (Reference Evapotranspiration), T (Transpiration)

Scale used: 100m

Organization/institution: Wageningen University (Netherlands), IHE Delft (Netherlands), MetaMeta

Language: English

In this Water Productivity Masterclass Series webinar (week 2), WaPOR is introduced in detail. WaPOR-based indicators for water productivity are presented and the use of the WaPOR analysis tool is demonstrated. 

Type: Resource,WaterPIP

Application: Assessing/monitoring the water consumption of crops, Assessing/monitoring water and/or land productivity

Layers used: AETI (Actual Evapotranspiration and Interception), RET (Reference Evapotranspiration), T (Transpiration)

Scale used: 100m

Organization/institution: IHE Delft (Netherlands), Wageningen (Netherlands), MetaMeta

Language: English

This study focuses on evaluating the accuracy of water productivity estimates derived from in-situ data and critically reviews and evaluates the accuracy of estimates derived from remotely sensed data (among which, WaPOR data).

Type: Resource

Application: Evaluation

Layers used: GBWP (Gross Biomass Water Productivity)

Scale used: 100m, 250m

Organization/institution: ITC-UTWENTE (Netherlands), University of Göttingen (Germany), IHE Delft (Netherlands)

Language: English

This thesis investigates the gap existing between the technical sphere of remote sensing technologies for water productivity (WaPOR) and the policy-making sphere that can use the insights from the former as guidance. The paper touches on SDG progress monitoring and is useful for a user that seeks to understand strategies to bridge the aforementioned gap.    

Type: Resource

Application: Supporting solutions to reduce yield and productivity gaps

Organization/institution: TU Delft (Netherlands)

Language: English

PlantVillage is an app that helps farmers with information that helps them make better decisions in their fields. It equips farmer's smartphones with the ability to identify plant pests. WaPOR data incorporated by the app allows the farmers to monitor biomass on a plot of land, giving small-scale farmers insight into how their crops are developing and assisting in deciding the best course of action for the best outcome in terms of yield. 

Type: Case study

Location: Kenya

Application: Providing advisory services to farmers

Layers used: NPP (Net Primary Production)

Scale used: 250m

Organization/institution: Penn State University (U.S.A.)

Language: English

This case study aims to introduce WaPOR data users to the usability of WaPOR data for water accounting. It does so by showcasing three examples of WaPOR data use for accounting at different scales: the basin, the national scale, and the subnational scale. This document showcases the versatility of the data to the spatial unit of choice for accounting enabling insights for an integrated approach to managing water resources. 

Type: Case study

Location: Burundi, Egypt, Eritrea, Ethiopia, Kenya, Rwanda, South Sudan, Sudan, Uganda, United Republic of Tanzania

Application: Assessing/monitoring water resources

Layers used: AETI (Actual Evapotranspiration and Interception), P (Precipitation)

Scale used: 100m, 250m

Organization/institution: FAO

Language: English

This study investigates the relationship between actual evapotranspiration (AETI) and yield in remote sensing AETI products by WaPOR and Vandersat by taking into consideration two modalities of measuring plant stress. It focuses on largescale sugarcane fields in Xinavane, Mozambique. One of the goals of this study is to establish the suitability of the said remote sensing products in assisting with decisions related to irrigation so as to maximize yield. 

Type: Resource

Location: Mozambique

Application: Assessing/monitoring water and/or land productivity, Evaluation

Layers used: AETI (Actual Evapotranspiration and Interception)

Scale used: 100m

Organization/institution: TU Delft (Netherlands)

Language: English

This study takes for case study the Wonji Shoa large scale sugarcane irrigation scheme, in Ethiopia, and using a sample of 30 plots in that area, it evaluates WaPOR products (AGBP and AETI) in relation to the outputs of the AquaCrop model and in-situ data. The study proposes more and better integration of WaPOR data and AquaCrop.

Type: Case study

Location: Ethiopia

Application: Evaluation

Layers used: AETI (Actual Evapotranspiration and Interception), AGBP (Above Ground Biomass Production) [no longer offered], NPP (Net Primary Production), T (Transpiration)

Scale used: 30m

Organization/institution: University of Twente (Netherlands)

Language: English

This mobile application developed by LARI  provides its users (farmers) with information and recommendations that can help them better manage their farm activities. This information is presently mostly meteorological and agronomic in nature. Services are in the process of being expanded to provide irrigation scheduling and crop health information using WaPOR data. 

Type: Case study

Location: Lebanon

Application: Providing advisory services to farmers

Layers used: AETI (Actual Evapotranspiration and Interception), NPP (Net Primary Production)

Scale used: 100m

Organization/institution: the Lebanese Agricultural Research Institute (LARI), the International Water Management Institute

Language: Arabic

This mobile application supports farmers' decision-making in matters of water management and productivity. It provides information on agro-meteorological nature, crop status, irrigation quantity, and scheduling, as well as fuel costs. It also archives information about the current and past seasons for easy referral. 

Type: Case study

Location: Egypt

Application: Providing advisory services to farmers

Layers used: AETI (Actual Evapotranspiration and Interception), NPP (Net Primary Production), P (Precipitation)

Scale used: 100m

Organization/institution: the October University for Modern Sciences and Arts (Egypt)

Language: Arabic