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: 47

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
Location: Syrian Arab Republic
Application: Assessing/monitoring the impact of a stressor (drought, conflict, … ) on agriculture
Layers used: AETI (Actual Evapotranspiration and Interception), LCC (Land Cover Classification), P (Precipitation)
Scale used: 100m
Organization/institution: FAO
Language: English

Monitoring Water Productivity: Demonstration Case for ThirdEye Mozambique

This study carried in Mozambique, more specifically in the Xai-xai area aims to measure water productivity, using different products, at different scales: the sub-project level and the field level. WaPOR water productivity data was used at the subproject level. The study's overall objective is “to demonstratestrengths and weaknesses of various Water Productivity information products”.

Type: Case study,Resource
Location: Mozambique
Application: Assessing/monitoring water and/or land productivity
Layers used: GBWP (Gross Biomass Water Productivity)
Scale used: 100m, 250m
Organization/institution: FutureWater
Language: English

Water Accounting in the Litani River Basin

Water Accounting + (WA+) is a tool that allows for the collection, analysis, summary and reporting of water related information in river basins. WA+ uses remotely sensed and other open access data to compute water flows. It was employed in the study of the water resources in the Litani River Basin in the period from the period from 2009 to 2018. 

Type: Case study
Location: Lebanon, Syrian Arab Republic
Application: Assessing/monitoring water resources
Layers used: AETI (Actual Evapotranspiration and Interception), LCC (Land Cover Classification), P (Precipitation)
Scale used: 100m, 250m
Organization/institution: IHE Delft
Language: English

Water Accounting in the Awash River Basin

Water Accounting + (WA+) is a tool that allows for the collection, analysis, summary and reporting of water related information in river basins. WA+ uses remotely sensed and other open access data to compute water flows. It was employed in the study of the water resources in the Awash River Basin in the period from the period from 2009 to 2018. 

Type: Case study
Location: Djibouti, Ethiopia, Somalia
Application: Assessing/monitoring water resources
Layers used: AETI (Actual Evapotranspiration and Interception), LCC (Land Cover Classification), P (Precipitation)
Scale used: 100m, 250m
Organization/institution: IHE Delft
Language: English

Water Accounting in the Jordan River Basin

Water Accounting + (WA+) is a tool that allows for the collection, analysis, summary and reporting of water related information in river basins. WA+ uses remotely sensed and other open access data to compute water flows. It was employed in the study of the water resources in the Jordan River Basin in the period from the period from 2009 to 2018. 

Type: Case study
Location: Egypt, Israel, Jordan, Lebanon, Palestine
Application: Assessing/monitoring water resources
Layers used: AETI (Actual Evapotranspiration and Interception), LCC (Land Cover Classification), P (Precipitation)
Scale used: 100m, 250m
Organization/institution: IHE Delft
Language: English

Water Accounting in the Nile River Basin

Water Accounting + (WA+) is a tool that allows for the collection, analysis, summary and reporting of water related information in river basins. WA+ uses remotely sensed and other open access data to compute water flows. It was employed in the study of the water resources in the Nile River Basin in the period from the period from 2009 to 2018. 

Type: Case study
Location: Burundi, Democratic Republic of the Congo, 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), I (Interception), LCC (Land Cover Classification), P (Precipitation), RET (Reference Evapotranspiration)
Scale used: 100m, 250m
Organization/institution: IHE Delft
Language: English

Water Accounting in the Niger River Basin

Water Accounting + (WA+) is a tool that allows for the collection, analysis, summary and reporting of water related information in river basins. WA+ uses remotely sensed and other open access data to compute water flows. It was employed in the study of the water resources in the Niger River Basin in the period from the period from 2009 to 2018. 

Type: Case study
Location: Benin, Burkina Faso, Cameroon, Chad, Côte d'Ivoire, Guinea, Mali, Niger, Nigeria
Application: Assessing/monitoring water resources
Layers used: AETI (Actual Evapotranspiration and Interception), LCC (Land Cover Classification), P (Precipitation)
Scale used: 100m, 250m
Organization/institution: IHE Delft
Language: English

Rapid Assessment of the Water Accounts in Urmia Lake Basin

Water Accounting + (WA+) is a tool that allows for the collection, analysis, summary and reporting of water related information in river basins. WA+ uses remotely sensed and other open access data to compute water flows. It was employed in the study of the water resources in the Lake Urmia Basin in the periods from October 2013 to September 2014 and from October 2014 to September 2015. WaPOR data was used in the computation of the accounting sheets as well as in the estimation of water productivity.

Type: Case study
Location: Iran (Islamic Republic of)
Application: Assessing/monitoring water and/or land productivity, Assessing/monitoring water resources
Layers used: NPP (Net Primary Production)
Scale used: 250m
Organization/institution: IHE Delft
Language: English

Estimating Water Consumption Through Hydrological Modelling In Mara River Basin

This research uses modelling to estimate the irrigation water abstraction in a part of the Mara River Basin. It posits that this estimation is crucial information for resource development planning and resource management. Particular attention is paid to the system's blue water use. WaPOR data is used as input for the modified version of the model presented in this study. 

Type: Case study
Location: Kenya, United Republic of Tanzania
Application: Assessing/monitoring the water consumption of crops, Assessing/monitoring water and/or land productivity
Layers used: AETI (Actual Evapotranspiration and Interception), LCC (Land Cover Classification), P (Precipitation)
Scale used: 100m, 250m
Organization/institution: IHE Delft
Language: English

Standardized protocol for land and water productivity analyses using WaPOR

This GitHub repository contains a methodology guiding users to understand the different layers contained in the FAO Water Productivity Open-access portal (WaPOR) which can be used for land and water productivity analyses. It also contains python scripts which can be used to calculate land and water productivity and other performance indicators such as water consumption, beneficial fraction, equity, adequacy, reliability as well as estimating productivity gaps.

Type: Resource
Application: Assessing/monitoring water and/or land productivity
Organization/institution: IHE Delft
Language: English
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