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Author: Food and Agriculture Organization of the United Nations
Publisher: Food & Agriculture Org.
ISBN: 9251315353
Category : Technology & Engineering
Languages : en
Pages : 134
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Book Description
This report describes the quality assessment of the FAO’s data portal to monitor Water Productivity through Open access of Remotely sensed derived data (WaPOR 1.0). The WaPOR 1.0 data portal has been prepared as a major output of the project: ´Using Remote Sensing in support of solutions to reduce agricultural water productivity gaps’, funded by the Government of The Netherlands. The WaPOR database is a comprehensive database that provides information on biomass production (for food production) and evapotranspiration (for water consumption) for Africa and the Near East in near real time covering the period 1 January 2009 to date. This report is the result of an independent quality assessment of the different datasets available in WaPOR prepared by IHE-Delft. The quality assessment checks the consistency of the different layers and compares the individual layers to various other independent data sources, including: spatial data; auxiliary data and in-situ data. The report describes the results of the quality assessment per data layer for each specific theme as available on the FAO WaPOR portal.
Author: Food and Agriculture Organization of the United Nations
Publisher: Food & Agriculture Org.
ISBN: 9251315353
Category : Technology & Engineering
Languages : en
Pages : 134
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Book Description
This report describes the quality assessment of the FAO’s data portal to monitor Water Productivity through Open access of Remotely sensed derived data (WaPOR 1.0). The WaPOR 1.0 data portal has been prepared as a major output of the project: ´Using Remote Sensing in support of solutions to reduce agricultural water productivity gaps’, funded by the Government of The Netherlands. The WaPOR database is a comprehensive database that provides information on biomass production (for food production) and evapotranspiration (for water consumption) for Africa and the Near East in near real time covering the period 1 January 2009 to date. This report is the result of an independent quality assessment of the different datasets available in WaPOR prepared by IHE-Delft. The quality assessment checks the consistency of the different layers and compares the individual layers to various other independent data sources, including: spatial data; auxiliary data and in-situ data. The report describes the results of the quality assessment per data layer for each specific theme as available on the FAO WaPOR portal.
Author: Food and Agriculture Organization of the United Nations
Publisher: Food & Agriculture Org.
ISBN: 9251336547
Category : Technology & Engineering
Languages : en
Pages : 89
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Book Description
This document presents the results of a validation of the version-2 of the WaPOR database, produced by the FRAME consortium partners, eLEAF and VITO. The report summarises the work done by the validation partner (ITC-UTwente) to assess the quality of the new V2 core data components, currently used to estimate and derive agricultural water productivity for Africa and the Near East. WaPOR represents a comprehensive open access data portal that provides information on biomass productivity (with focus on food and agriculture production) and evapotranspiration (evaporative losses and water use) for Africa and the Near East in near real time covering the period from 1 January 2009 to date. WaPOR offers continuous data on a 10-day average basis across Africa and the Near East at three spatial resolutions. The continental level-1 data (250m) cover entire Africa and the Near East (L1). The national level-2 (100m) data cover 21 countries and four river basins (L2). The third level-3 data (30m) cover eight irrigation areas (L3). The quality assessment focused on the core data of the WaPOR database i.e., the evaporative loss components: plant transpiration (T), soil evaporation (E) and interception (I) combined in ETI, the net primary productivity – NPP, the total (TBP) and above ground biomass productivity (AGBP) and reference evapotranspiration – RET.
Author: Food and Agriculture Organization of the United Nations
Publisher: Food & Agriculture Org.
ISBN: 9251329818
Category : Technology & Engineering
Languages : en
Pages : 91
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Book Description
The FAO portal to monitor Water Productivity through Open Access of Remotely sensed derived data (WaPOR) provides, as of today, access to 11 years of continued observations over Africa and the Near East. The portal provides open access to various spatial data layers related to land and water use for agricultural production and allows for direct data queries, time series analyses, area statistics and data download of key variables to estimate water and land productivity gaps in irrigated and rain fed agriculture. WaPOR Version 2 was launched in June 2019 based on extensive internal and external validation and quality assessment. This document describes the methodology used to produce Version 2 of the data at the 250m (Level 1), 100m (Level 2) and 30m (Level 3) resolution distributed through the WaPOR portal.
Author: Food and Agriculture Organization of the United Nations
Publisher: Food & Agriculture Org.
ISBN: 9251329826
Category : Technology & Engineering
Languages : en
Pages : 70
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Book Description
This report describes the water accounting study for the Nile River Basin carried out by IHE-Delft using the Water Productivity (WaPOR) data portal of the Food and Agricultural Organization (FAO). The Nile River Basin faces a huge challenge in terms of water security. With an expected doubling of the population in the basin in the next twenty-five years, water supply in the basin will be further depleted as demands for agriculture, domestic and industry continues to grow. Water availability in the basin will also be threatened by climate change and variability and pollution from increased agricultural and industrial activities and from urban areas. However with limited up-to-date ground observations, in terms of duration, completeness, and quality of the hydro-meteorological records it is difficult to draw an appropriate picture of the water resources conditions. The Water Accounting Plus (WA+) system designed by IHE Delft with its partners FAO and IWMI has been applied to gain full insights into the state of the water resources in the basin.
Author: Food and Agriculture Organization of the United Nations
Publisher: Food & Agriculture Org.
ISBN: 9251318832
Category : Technology & Engineering
Languages : en
Pages : 63
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Book Description
This report provides the water accounting study for Litani River basin in Lebanon carried out by IHE Delft using the Water Productivity open data portal (WaPOR) of the Food and Agricultural Organization (FAO). The Litani River basin is one of the key river basins in Lebanon and it is experiencing water scarcity with annual renewable water resources being 606.9 mm3/yr. With an estimated population of 375 000 in 2010 and doubled by 2016 due to the Syrian refugee crisis, the total per capita water availability is around 800 m3/cap/yr indicating water shortage. Increasing challenges such as growing population, climate change, groundwater over-exploitation and inter-basin transfers have put the available water resources in the basin under stress. The completeness and quality of the hydro-meteorological records are insufficient to draw an appropriate picture of the water resources conditions. However, the Water Accounting Plus (WA+) system designed by IHE Delft with its partners FAO and IWMI has been applied to gain full insights into the state of the water resources in the basin for the period 2010 to 2016. The WA+ framework is a reporting mechanism for water flows, fluxes and stocks that are summarized by means of WA+ sheets.
Author: Food and Agriculture Organization of the United Nations
Publisher: Food & Agriculture Org.
ISBN: 9251382425
Category : Technology & Engineering
Languages : en
Pages : 162
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Book Description
The Near East and North Africa (NENA) Region has long faced water scarcity due to natural causes. Still, factors like population growth, food security policies, and socioeconomic development have worsened the situation in recent decades. Climate change and the food insecurity resulting from the war in Ukraine have further strained the already limited water resources in the region. To address these challenges, countries in the NENA Region seek ways to allocate scarce water resources effectively. They aim to improve water accounting, monitor water usage in strategic hydrological systems, and enhance water productivity and efficiency to save and redistribute water. One crucial aspect to consider in these efforts is water consumption, particularly in irrigated agriculture, which utilizes over 85 percent of renewable freshwater resources while remaining vital to the sustainability of the food sector and farming systems. Given the significant spatial scales involved, satellite remote sensing technology has become a valuable tool in determining evapotranspiration–water consumption. The Food and Agriculture Organization (FAO) Regional Initiative on Water Scarcity for the Near East and North Africa (WSI) has gathered top experts in evapotranspiration determination through satellite remote sensing to guide water stakeholders in the region. This initiative has also expanded to other FAO regions through the inter-Regional Technical Platform on Water Scarcity (iRTP-WS). To facilitate knowledge sharing, a series of twenty-five webinars were organized, fostering dialogue between experts and water actors. Additionally, this publication summarizes the outcomes of the webinars and provides further analysis and insights on satellite remote sensing determination of evapotranspiration. The publication aims to update the knowledge and enhance the capacity of water professionals, raise awareness of the strengths and limitations of remote sensing models and databases for evapotranspiration, and clarify operational aspects such as spatial and temporal resolutions and accuracy. Ultimately, it serves as a valuable reference for water actors and professionals working towards sustainable water resource management.
Author: James Hammond
Publisher: Frontiers Media SA
ISBN: 2832515894
Category : Technology & Engineering
Languages : en
Pages : 255
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Book Description
Smallholder farming systems contribute a substantial quantity of the food consumed in many lower and middle-income countries and contribute to the national and local economies. Despite the importance of smallholder farming, a transformation is needed in order to deliver food security and decent incomes for the farmers themselves and at the national level. This transformation must also be sustainable in terms of environmental impacts and social equity in order to be successful in the long term. The pressures of population growth, climate change, and land fragmentation compound the problem. Addressing these overlapping issues is a big challenge. One obstacle is the lack of good quality granular data linking these issues together. Household surveys are the workhorse method for gathering such data, but there are well-known problems that prevent household survey data from building up a “big picture” and delivering insights beyond the geographical boundary of each individual study. Such obstacles include the lack of access to datasets, differences in survey design, and respondent biases. Agile, data-oriented research tools can help to overcome these challenges. We use the term “agile” to imply methods that do not attempt exhaustive measurements, which are designed to be easy to use, and which entail some degree of flexibility in terms of adaptation to local conditions and integration with other tools or methods. Often these methods also nudge the behavior of tool users towards best practices. In recent years various research tools and approaches have been published which fit within our definition of “agile data-oriented research tools”. The domains these tools function in include monitoring and evaluation, intervention targeting, tailored information delivery, citizen science, credit scoring, and user feedback collection; all with the over-arching aim to improve data quality and access for those studying the sustainable development of smallholder farming systems. The goal of this Research Topic is to better define that niche, the ecosystem of tools and current practices, and to explore how such approaches can provide the underpinning knowledge required for the transformation of smallholder farming systems. One example of an agile data-oriented research tool is the Rural Household Multi-Indicator Survey (RHoMIS). It is a modular, digital system for building household surveys addressing the common topics in smallholder development. It was purposefully designed to give a broad overview of the farm system whist keeping survey duration to a minimum, to be user-friendly in implementation, and to be sufficiently flexible to function in a broad variety of locations and projects. Since 2015 it has been used by 30 organizations in 32 countries to interview over 34,000 households. The tool and database are open access and a community of practice is developing around the tool. We particularly welcome contributions that engage with the RHoMIS tool and data. However, we also describe the tool in order to provide an example of what is meant by an agile data-oriented research tool, and welcome contributions focusing on other tools or methodologies. We encourage the submission of manuscripts addressing the above topic, and those which fit within one of the following three sub-themes: (i) Perspectives or review articles which explore the niche, best practices, or promising approaches in agile data-oriented research tools for smallholder farm system transformation. Also, technology and code articles that describe new tools are welcomed. (ii) Original research articles presenting analyses based on data derived from agile data-oriented tools used at the project level. Examples include impact evaluations, adoption studies, targeting studies, or adaptive management, and should reflect on the additional benefit leveraged by the agile method applied. (iii) Original research articles that make use of the large amounts of data generated by such agile methods and/or link between agile data and other data sources. Examples include meta-analyses of data from multiple studies, layering data collected from different agile tools, or linking agile data to remote sensing or large-scale modeling outputs.
Author: Irina Tomescu-Dubrow
Publisher: John Wiley & Sons
ISBN: 1119712181
Category : Mathematics
Languages : en
Pages : 420
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Book Description
Survey Data Harmonization in the Social Sciences An expansive and incisive overview of the practical uses of harmonization and its implications for data quality and costs In Survey Data Harmonization in the Social Sciences, a team of distinguished social science researchers delivers a comprehensive collection of ex-ante and ex-post harmonization methodologies in the context of specific longitudinal and cross-national survey projects. The book examines how ex-ante and ex-post harmonization work individually and in relation to one another, offering practical guidance on harmonization decisions in the preparation of new data infrastructure for comparative research. Contributions from experts in sociology, political science, demography, economics, health, and medicine are included, all of which give voice to discipline-specific and interdisciplinary views on methodological challenges inherent in harmonization. The authors offer perspectives from Europe and the United States, as well as Africa, the latter of which provides insights rarely featured in survey research methodology handbooks. Readers will also find: A thorough introduction to approaches and concepts for survey data harmonization, as well as the effects of data harmonization on the overall survey research process Comprehensive explorations of ex-ante harmonization of survey instruments and non-survey data Practical discussions of ex-post harmonization of national social surveys, census and time use data, including explorations of survey data recycling A detailed overview of statistical issues linked to the use of harmonized survey data Perfect for upper undergraduate and graduate researchers who specialize in survey methodology, Survey Data Harmonization in the Social Sciences will also earn a place in the libraries of survey practitioners who engage in international research.
Author: ESOMAR.
Publisher:
ISBN:
Category : Advertising
Languages : en
Pages : 386
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Book Description
Author: Mohamed Ksibi
Publisher: Springer Nature
ISBN: 3031439228
Category :
Languages : en
Pages : 746
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Book Description
