Catalogue des applications de WaPOR
Application
Type
Location
Layers Used
Keywords
Status

Results: 83

Geospatial assessment of cultivated cropland extent in the Sudan: July to September 2023

A rapid assessment was conducted in July, August, and September 2023 to estimate the extent of cultivated cropland in Sudan, considering the disruption caused by armed conflict, using geospatial data to inform immediate and long-term food security management. The assessment carried out by the FAO Geospatial Unit uses dekadal (10-days) Net Primary Productivity (NPP) data from the remote sensing for water productivity (WaPOR) level-2 data (100 m resolution) to extract the information at the locality level and further aggregate at state and national levels. The same reason that motivated this assessment, made it also very challenging to perform the data collection necessary for field validation, yet, this work shows the suitability of the use of remote-sensing as a source of data in a situation of political instability. 

Type: Case study
Location: Sudan
Application: Analyzing yield and/or water productivity gaps, Assessing/monitoring changes in agricultural production, Assessing/monitoring the impact of a stressor (drought conflict … ) on agriculture
Layers used: NPP (Net Primary Production)
Scale used: 100m
Organization/institution: FAO
Language: English

Water Accounting in Kenya 2010-2021

The World Bank realized a desktop water accounting study in Kenya for the years 2010-2021. WaPOR data was used alongside a variety of other data sources. The objective was to attempt to quantify the water flows of the country and their trends for that time period as well as estimate metrics that can assist with management decisions such as: water scarcity disaggregated in two types of water: blue and green as well as economic water scarcity.

Type: Case study
Location: Kenya
Application: Assessing/monitoring water resources
Layers used: AETI (Actual Evapotranspiration and Interception), RET (Reference Evapotranspiration)
Scale used: 250m
Organization/institution: The World Bank
Language: English

SOSIA+: Small-Scale Open Source Satellite-based Irrigation Advice

SOSIA+ will expand on the scope of SOSIA by completing the satellite-based data with real time ground data from weather stations and soil moisture sensors provided by TAHMO (Trans-African Hydro-Meteorological Observatory). One of the major outputs of the project will be an irrigation scheduling tool, similar to SOSIA that will have increased usability for small-scale farmers due to the nature of the input data. 

Type: Case study,Resource
Application: Monitoring and supporting decisions to improve irrigation
Layers used: RET (Reference Evapotranspiration)
Scale used: 100m
Organization/institution: TU Delft, Holland Greentech, TAHMO
Language: English

Drought Observe: near-real-time drought monitoring for Africa and MENA using FAO WaPOR data

The WaterPIP Project has developed a drought monitoring system using the FAO WaPOR datasets and machine learning, named DroughtObserve. It offers maps of drought intensities at two administrative levels over Africa and MENA region as well as timeseries of historical drought (2009 - near real time). The tool also contains a 6-month forecast of the drought intensity.

Type: Resource
Location: Algeria, Angola, Benin, Botswana, Burkina Faso, Cameroon, Chad, Congo, Democratic Republic of the Congo, Djibouti, Egypt, Equatorial Guinea, Eswatini, Ethiopia, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Iran (Islamic Republic of), Iraq, Israel, Jordan, Kenya, Lebanon, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Morocco, Mozambique, Namibia, Niger, Nigeria, Palestine, Qatar, Rwanda, Réunion, Saudi Arabia, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Syrian Arab Republic, Togo, Tunisia, Uganda, United Arab Emirates, United Republic of Tanzania, Western Sahara, Yemen, Zambia, Zimbabwe
Application: Assessing/monitoring water resources
Layers used: AETI (Actual Evapotranspiration and Interception), LCC (Land Cover Classification), NPP (Net Primary Production), P (Precipitation)
Scale used: 250m
Organization/institution: IHE Delft
Language: English

Trends in water consumption, production and water productivity in Islamic Development Bank member countries

This report provides an overview of changes in agricultural indicators from 2009 to 2020 in a selection of Islamic Development Bank member countries. The data can also be viewed interactively in Google Earth Engine. The data includes the following agricultural indicators: actual evapotranspiration and interception (AETI), total biomass production, gross biomass water productivity, reference evapotranspiration (RefET), precipitation (P), AETI/RefET and AETI/P over irrigated or rainfed areas.

Type: WaterPIP
Location: Algeria, Benin, Burkina Faso, Cameroon, Chad, Côte d'Ivoire, Egypt, Gambia, Guinea, Iran (Islamic Republic of), Iraq, Jordan, Kuwait, Lebanon, Libya, Mali, Mauritania, Morocco, Mozambique, Niger, Nigeria, Oman, Palestine, Qatar, Saudi Arabia, Senegal, Somalia, Sudan, Syrian Arab Republic, Togo, Tunisia, Uganda, Yemen
Application: Assessing/monitoring changes in agricultural production, Assessing/monitoring water and/or land productivity
Layers used: AETI (Actual Evapotranspiration and Interception), LCC (Land Cover Classification), NPP (Net Primary Production)
Scale used: 250m
Organization/institution: MetaMeta
Language: English

WaPOR for Monitoring Agricultural Water Productivity (WaPOR4Awp)

WaPOR4Awp is a web-based tool that computes and visualizes agricultural water productivity data for countries in Africa and the Near-East using WaPOR data in support of monitoring SDG 6.4.1- Change in Water Use Efficiency (CWUE). It offers an alternative approach to estimating water use efficiency in the form of water productivity.

Type: Case study,Resource
Location: Algeria, Angola, Benin, Botswana, Burkina Faso, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Côte d'Ivoire, Democratic Republic of the Congo, Djibouti, Egypt, Eritrea, Eswatini, Ethiopia, Gabon, Gambia, Ghana, Guinea, Iran (Islamic Republic of), Iraq, Israel, Jordan, Kenya, Lebanon, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Morocco, Mozambique, Namibia, Niger, Nigeria, Oman, Palestine, Rwanda, Réunion, Sao Tome and Principe, Saudi Arabia, Senegal, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Syrian Arab Republic, Togo, Tunisia, Uganda, United Arab Emirates, United Republic of Tanzania, Western Sahara, Zambia, Zimbabwe
Application: Assessing/monitoring water and/or land productivity
Layers used: AETI (Actual Evapotranspiration and Interception), LCC (Land Cover Classification), P (Precipitation)
Scale used: 250m
Organization/institution: IHE Delft
Language: English

Irrigation Performance Assessment Abadiska and UAAIE Irrigation Scheme

Understanding the performance of this irrigation scheme is of great importance for evaluating the productivity of other schemes. Such understanding could help to design possible intervention mechanisms that could be made to improve the performance of the schemes. In this view, the Ethiopian Construction Design and Supervision Works Cooperation (ECDSWC) has developed a service for the Upper Awash Agro Industry Enterprise (UAAIE) which aims to assess the performance of the Abadiska and UAAIE irrigation scheme and to provide recommendations for improvement in production.

Type: Case study,WaterPIP
Application: Assessing/monitoring water and/or land productivity
Layers used: AETI (Actual Evapotranspiration and Interception), LCC (Land Cover Classification), NPP (Net Primary Production), P (Precipitation), RET (Reference Evapotranspiration), T (Transpiration)
Organization/institution: Ethiopian Construction Design and Supervision Works Corporation (ECDSWC)
Language: English

Land and water productivity of the maize crop, Galana Kulalu

The objectives of this study were; i) to characterize the status of water use and water productivity in the Galana Kulalu irrigation scheme through use of the WaPOR database and ii) to identify opportunities in the use of remote sensing to provide information for assessing performance of irrigated agriculture at Galana Kulalu. This approach will be valuable to inform decision making about irrigation management, crop productivity and to establishing reliable monitoring mechanisms.

Type: Case study,WaterPIP
Location: Kenya
Application: Assessing/monitoring water and/or land productivity
Layers used: AETI (Actual Evapotranspiration and Interception), NPP (Net Primary Production), RET (Reference Evapotranspiration), T (Transpiration)
Scale used: 100m
Organization/institution: Jomo Kenyata University of Agriculture and Technology (JKUAT)
Language: English

Monitoring Irish Potato Production in Nyandarua County

The main objective of the study was to monitor potato production with an aim of providing insight into areas for targeted irrigation expansion while measuring the effectiveness of the irrigation expansion efforts made (e.g. provision of water pans to support irrigation within the county), in the wake of increased climate variability and drought events.

Type: Case study,WaterPIP
Location: Kenya
Application: Assessing/monitoring water and/or land productivity
Layers used: AETI (Actual Evapotranspiration and Interception), NPP (Net Primary Production)
Scale used: 100m
Organization/institution: Jomo Kenyata University of Agriculture and Technology (JKUAT)
Language: English

Entangled logics of water and land productivity: conversations among Egyptian farmers and WaPOR’s remote sensing data

This thesis invites the definition of water productivity as used by WaPOR into a conversation with other productivity narratives enacted by 18 Egyptian farmers in the West Nile Delta. This exploratory research draws upon ethnography principles, participant observation and understanding of embedded practices that make up logics. It does so by focusing on three primary practices that contribute to agricultural productivity: land use, crop choice, and water use. 

Type: Case study
Location: Egypt
Application: Assessing/monitoring water and/or land productivity
Layers used: AETI (Actual Evapotranspiration and Interception), NPP (Net Primary Production)
Scale used: 100m
Organization/institution: IHE Delft
Language: English
1 2 3 4 5 6 7 8 9
[Translate to Français:]