BigDataEurope 1st SC5 Workshop Big Data in ECMWF by Ioannis MallasBigData_Europe
The European Centre for Medium-Range Weather Forecasts (ECMWF) is a cooperative effort of 34 member states to provide global numerical weather forecasts and conduct research. It operates a supercomputer to run forecast models using over 500 million observations daily from satellites and other sources. ECMWF produces 13 million meteorological fields daily totaling over 8 TB and disseminates 77 million weather products daily totaling over 6 TB to member states and other partners. It maintains the largest meteorological archive in the world consisting of over 40 PB of data and serving over 650 daily users retrieving over 100 TB per day.
This document discusses the use of unmanned aerial vehicles (UAVs) and laser scanning to map forests and quantify geohazards. It describes how aerial imagery and laser altimetry data captured by UAVs can be used to generate digital elevation models, estimate tree heights, and create 3D models of forest stands. The document also explains how detailed geohazard mapping could allow for more optimized mountain forestry management by quantifying landslide, rockfall, and other risks. Overall, the document outlines how UAV and laser scanning data can provide detailed data needed to model and assess forests and geohazards.
Current & Future Services - EUMETCast User Forum 2014EUMETSAT
Sally Wannop, User Relations Manager, describes the current and future data services at EUMETSAT. The main focus us on those which will be available via EUMETCast. These include Meteosat Third Generation, EPS-SG, Jason and Sentinel.
GMES - current status and potential link to agricultureCAPIGI
Presentation by Mariusz Legowski of JRC-IES on the status and application potential of the Global Monitoring of the Environment and Security system of the EU.
ArcFUEL is a project funded by the European Commission to develop standardized fuel classification maps (FCMs) for wildfire management in the Mediterranean region. It aims to address the lack of up-to-date, consistent FCMs produced using a standard methodology. The project develops a workflow and classification schema to produce FCMs for Greece, Portugal, Italy, and Spain using readily available spatial data. These maps are important inputs for wildfire simulation and risk assessment tools used in prevention, suppression, and post-fire evaluation.
The document summarizes the types of observations acquired for the Copernicus Atmosphere Monitoring Service (CAMS) and how they are obtained. CAMS acquires aerosol, reactive gas, greenhouse gas, and fire radiative power observations from various satellite instruments, including MODIS, OMI, IASI, GOME-2, and Sentinel-5P. The observations are obtained in real-time via the internet, GTS, and EUMETCast and ingested into the ECMWF system using the ECPDS and SAPP systems, which acquire, decode, quality control and format the data for assimilation into CAMS models. An example of the Polar Multi-Sensor Aerosol Optical Properties product
BigDataEurope 1st SC5 Workshop Big Data in ECMWF by Ioannis MallasBigData_Europe
The European Centre for Medium-Range Weather Forecasts (ECMWF) is a cooperative effort of 34 member states to provide global numerical weather forecasts and conduct research. It operates a supercomputer to run forecast models using over 500 million observations daily from satellites and other sources. ECMWF produces 13 million meteorological fields daily totaling over 8 TB and disseminates 77 million weather products daily totaling over 6 TB to member states and other partners. It maintains the largest meteorological archive in the world consisting of over 40 PB of data and serving over 650 daily users retrieving over 100 TB per day.
This document discusses the use of unmanned aerial vehicles (UAVs) and laser scanning to map forests and quantify geohazards. It describes how aerial imagery and laser altimetry data captured by UAVs can be used to generate digital elevation models, estimate tree heights, and create 3D models of forest stands. The document also explains how detailed geohazard mapping could allow for more optimized mountain forestry management by quantifying landslide, rockfall, and other risks. Overall, the document outlines how UAV and laser scanning data can provide detailed data needed to model and assess forests and geohazards.
Current & Future Services - EUMETCast User Forum 2014EUMETSAT
Sally Wannop, User Relations Manager, describes the current and future data services at EUMETSAT. The main focus us on those which will be available via EUMETCast. These include Meteosat Third Generation, EPS-SG, Jason and Sentinel.
GMES - current status and potential link to agricultureCAPIGI
Presentation by Mariusz Legowski of JRC-IES on the status and application potential of the Global Monitoring of the Environment and Security system of the EU.
ArcFUEL is a project funded by the European Commission to develop standardized fuel classification maps (FCMs) for wildfire management in the Mediterranean region. It aims to address the lack of up-to-date, consistent FCMs produced using a standard methodology. The project develops a workflow and classification schema to produce FCMs for Greece, Portugal, Italy, and Spain using readily available spatial data. These maps are important inputs for wildfire simulation and risk assessment tools used in prevention, suppression, and post-fire evaluation.
The document summarizes the types of observations acquired for the Copernicus Atmosphere Monitoring Service (CAMS) and how they are obtained. CAMS acquires aerosol, reactive gas, greenhouse gas, and fire radiative power observations from various satellite instruments, including MODIS, OMI, IASI, GOME-2, and Sentinel-5P. The observations are obtained in real-time via the internet, GTS, and EUMETCast and ingested into the ECMWF system using the ECPDS and SAPP systems, which acquire, decode, quality control and format the data for assimilation into CAMS models. An example of the Polar Multi-Sensor Aerosol Optical Properties product
The document discusses irrigation scheduling and estimating crop water requirements in dry climates. It summarizes that irrigation scheduling can help use water efficiently without negatively impacting crop yields. It then describes the methodology used, which includes identifying crop types and areas using satellite images, estimating crop water needs using the Penman-Monteith method in CROPWAT software, and determining total water requirements by crop for the study area in Karnataka, India. The results show the classified land use map identifying different crop areas and the decade-wise irrigation water requirements in mm for various crops in the Rabi and Kharif seasons.
2005-01-28 Assessment of the Speciated PM Network (Initial Draft, November 2004)Rudolf Husar
This document summarizes the assessment of the speciated particulate matter (PM) monitoring network in the United States. It finds that since 2000, speciated PM monitoring has expanded from 50 sites to over 350 sites. By 2003, the spatial coverage of speciated monitoring was high across the US. For long-term sulfate averages, estimation errors were below 1 microgram per cubic meter in the East. The 350 monitoring sites provide at least 10 times more spatial characterization of PM than the daily sampling frequency alone. The document recommends establishing continuous and automated network assessment as a routine part of ongoing PM monitoring.
Remote Sensing Methods for operational ET determinations in the NENA region, ...NENAwaterscarcity
Workshop on Operationalizing the Regional Collaborative Platform to Address ‘Water Consumption, Water Productivity and Drought Management’ in Agriculture, 27 - 29 October 2015, Cairo, Egypt
2004-11-24 Assessment of the Speciated PM Network (Initial Draft, November 20...Rudolf Husar
This document summarizes the assessment of the speciated particulate matter (PM) monitoring network in the United States. It finds that since 2000, speciated PM monitoring has expanded from 50 sites to over 350 sites. By 2003, the spatial coverage of speciated monitoring was high across the US. For long-term sulfate averages, estimation errors were below 1 microgram/cubic meter in the East. The 350 monitoring sites provide at least 10 times more spatial characterization of PM than the daily sampling frequency alone. The assessment concludes it may be useful to establish continuous and automated network assessment as a routine part of ongoing PM monitoring.
Contribution to the investigation of wind characteristics and assessment of w...Université de Dschang
M. Bawe Gerard Nfor, Jr. a soutenu sa thèse de Doctorat/Phd en Physique, option Mécanique-Énergétique ce 19 mai 2016 dans la salle des conférences de l'Université de Dschang. A l'issue de la soutenance, le jury présidé par le Prof. Anaclet Fomethe lui a décerné, à l'unanimité de ses membres, la mention très honorable.
Voici la présentation powerpoint qu'il a effectuée dans le cadre de cette soutenance.
This document evaluates the macropore component of the RZWQM2 model in simulating subsurface drainage and peaks at hourly time steps. It tests the model at experimental sites in Ontario and Iowa using hourly rainfall and drainage data during peak drainage periods. The results show that while the macropore component did not significantly improve long-term drainage simulations, it did improve the model's ability to simulate hourly drainage peaks compared to simulations without the macropore component. A sensitivity analysis also found that simulated flow was not sensitive to changes in macroporosity and radius parameters.
Chronological Calibration Methods for Landsat Satellite Images iosrjce
This document describes methods for chronologically calibrating Landsat satellite images to account for differences when images are taken days apart. It discusses correcting ETM+ images for scan line failures and converting digital numbers to reflectance. Two methods are proposed to remove phenological effects between Landsat 7 and 8 images taken 8 days apart: linear regression and cross-correlation. Image classification using the visible red and near infrared bands is used to validate the correction methods by comparing land cover detection in study area images.
WaPOR version 3 - Annemarie Klaasse - eLeaf - 05 May 2023.pdfWaPOR
Version 3 of the WaPOR data incorporates new satellite datasets, earth system modeling data, and a relative soil moisture product. It features improved spatial resolution, updated algorithms, cloud computing infrastructure, and addresses user feedback from Version 2. Major changes include new inputs like ERA5 meteorological data, VIIRS, Sentinel-2, and Copernicus DEM. Intermediates like NDVI and LST now benefit from thermal sharpening. Models have updated soil moisture parameterization. Products are delivered at finer spatial scales up to 30m with global and regional coverage.
This document summarizes a master's thesis on quantitatively and qualitatively analyzing the costs, necessity, and implementation of water storage in African countries under future climate variability. The research aims to determine the water storage investments needed to achieve "water security" considering GDP growth and climate predictions. It outlines the research questions, methods, and key results. The methods include defining water security metrics, calculating current and required reservoir capacities, and analyzing output from climate models to predict precipitation and runoff changes in African regions. Key results include the water storage investment matrix and climate simulations showing variability in precipitation and runoff across regions and countries in Africa.
Water Productivity Mapping (WPM) at various Resolutions (scales) using Remote Sensing - A proof of Concept Study in the Syr Darya River Basin in Central Asia - Xueliang Cai, Prasad S. Thenkabail, Alexander Platanov, Chandrashekhar M. Biradar, Yafit Cohen, Victor Alchanatis, Naftali Goldshlager, Eyal Ben-Dor, MuraliKrishna Gumma, Venkateswarlu Dheeravath, and Jagath Vithanage
This document summarizes a study on the impact of wetlands loss on long-term flood risks in Devils Lake, North Dakota under a changing climate. The study used the SWAT hydrological model to simulate streamflow under historical and future climate scenarios with varying levels of wetlands from 0% to 20% of the total basin area. Results showed streamflow is reduced by an average of 0.47 meters for every 5% increase in wetlands extent. Future climate projections showed increased precipitation and temperatures would lead to higher streamflows, but this effect was reduced with greater wetland coverage. Maintaining wetlands is important for mitigating future flood risks in Devils Lake as the climate changes.
Delineation of Mahanadi River Basin by Using GIS and ArcSWATinventionjournals
Precipitation is the significant segment of hydrologic cycle and this essential wellspring of overflow. In hydrological models precipitation as information, release is mimicked at the outlet of a watershed. Exactness of release re-enactment relies on drainage zone of the watershed. Therefore in the present work Mahanadi river basin lying within Odisha (drainage area approximately 65000 sq. km.) has been delineated in to five subbasins based on the five CWC operated discharge sites in Odisha. In the present work Arc-Swat has been used to delineate the watershed with the help of the (digital elevation model) DEM. At last as indicated by area of release locales, the aggregate study range was isolated into five sub-basins in particular Kesinga, Kantamal, Salebhata, Sundergarh and Tikarpada. It was observed that number of sub-watersheds into which the study area is being depicted relies on number of outlets and density of drainage. For a specific number of outlets, the thick is the density of drainage the more is the quantity of sub-watershed and the other way around.
This document is a report from AUSPOS, an online GPS processing service. It processed GPS data from January 7, 2017 to determine precise coordinates for the user's site in both the international ITRF2008 and Australian GDA94 reference frames. The report provides details on the processing including the reference stations used, computed coordinates, positional uncertainties, and standards followed in processing the GPS data.
Time integration of evapotranspiration using a two source surface energy bala...Ramesh Dhungel
This document provides an outline for a dissertation on developing methodologies and models to estimate evapotranspiration (ET) using a two-source surface energy balance model. The objectives are to extrapolate ET between satellite overpass dates using gridded weather data and Landsat-based ET data. A resistance-based two-source surface energy balance model is developed that incorporates a soil water balance model. The model is tested against ET estimates from the METRIC model to estimate ET at higher temporal resolutions than satellite overpasses.
Precision agriculture in maize-based cropping systemsCIMMYT
Precision agriculture aims to ensure crops and soil receive exactly what they need through information technology. It can benefit the environment and farm profits by better using resources like nutrients, water, and pesticides in a spatially and temporally targeted way. Key technologies enabling precision agriculture include GPS, earth observation satellites, drones, proximal sensors, and ICT. These allow for remote sensing, variable rate application, and decision support. Precision agriculture adapted for smallholders in developing countries must address intra-farm variability and be implemented through affordable, appropriate technologies delivered via mobile apps or other ICT to optimize resource use at multiple scales.
The document provides information about the National Centre for Medium Range Weather Forecasting (NCMRWF) in India. Some key points:
1. NCMRWF's mission is to develop advanced numerical weather prediction systems for India and neighboring regions to improve forecast reliability and accuracy.
2. NCMRWF operates global and regional forecast models and an ensemble prediction system. It assimilates various satellite, radiosonde, and surface observations into these models.
3. NCMRWF provides weather forecasts and other products to various government agencies and sectors like agriculture, energy, and disaster management in India.
The document evaluates the WEPP and APEX models for predicting runoff and erosion on Goodwater Creek Field One in Missouri. Both models performed reasonably well at simulating runoff without calibration, with WEPP performing better at predicting sediment yield. The study found that WEPP's physics-based approach worked better than APEX's empirical methods. Overall, the models showed potential for delineating critical soil loss areas to guide conservation efforts. Future work involves scenario modeling with cover crops.
Capacity Bulding - Marloes Mul - IHE Delft - 3 May 2023WaPOR
This document provides an overview of capacity building activities using the WaPOR (Water Productivity through Open access of Remotely sensed derived data) tool. It discusses trainings that have been conducted in various countries on topics like WaPOR concepts and validation. It also describes the development of OpenCourseWare modules to make the training materials openly available online. Overall, the document outlines the trainings implemented and planned, and discusses ways to improve participation in the OpenCourseWare courses.
WaPOR 2- Compendium of solutions - Petra Schmitter - IWMI - 03 May 2023WaPOR
The document summarizes WaPOR Phase 2, which includes:
- Two main international partners and 3 components over 5 years across 10+ countries.
- Country solutions for drought monitoring, irrigation performance, and advisory services in Sudan, Mali, Jordan, Mozambique, Kenya, Ethiopia, Iraq, Tunisia, and Algeria.
- A gender strategy with 5 goals to mainstream gender and social inclusion across the project.
- A co-design process involving stakeholder consultations and workshops to develop solutions and ensure local needs and preferences are met.
The document discusses irrigation scheduling and estimating crop water requirements in dry climates. It summarizes that irrigation scheduling can help use water efficiently without negatively impacting crop yields. It then describes the methodology used, which includes identifying crop types and areas using satellite images, estimating crop water needs using the Penman-Monteith method in CROPWAT software, and determining total water requirements by crop for the study area in Karnataka, India. The results show the classified land use map identifying different crop areas and the decade-wise irrigation water requirements in mm for various crops in the Rabi and Kharif seasons.
2005-01-28 Assessment of the Speciated PM Network (Initial Draft, November 2004)Rudolf Husar
This document summarizes the assessment of the speciated particulate matter (PM) monitoring network in the United States. It finds that since 2000, speciated PM monitoring has expanded from 50 sites to over 350 sites. By 2003, the spatial coverage of speciated monitoring was high across the US. For long-term sulfate averages, estimation errors were below 1 microgram per cubic meter in the East. The 350 monitoring sites provide at least 10 times more spatial characterization of PM than the daily sampling frequency alone. The document recommends establishing continuous and automated network assessment as a routine part of ongoing PM monitoring.
Remote Sensing Methods for operational ET determinations in the NENA region, ...NENAwaterscarcity
Workshop on Operationalizing the Regional Collaborative Platform to Address ‘Water Consumption, Water Productivity and Drought Management’ in Agriculture, 27 - 29 October 2015, Cairo, Egypt
2004-11-24 Assessment of the Speciated PM Network (Initial Draft, November 20...Rudolf Husar
This document summarizes the assessment of the speciated particulate matter (PM) monitoring network in the United States. It finds that since 2000, speciated PM monitoring has expanded from 50 sites to over 350 sites. By 2003, the spatial coverage of speciated monitoring was high across the US. For long-term sulfate averages, estimation errors were below 1 microgram/cubic meter in the East. The 350 monitoring sites provide at least 10 times more spatial characterization of PM than the daily sampling frequency alone. The assessment concludes it may be useful to establish continuous and automated network assessment as a routine part of ongoing PM monitoring.
Contribution to the investigation of wind characteristics and assessment of w...Université de Dschang
M. Bawe Gerard Nfor, Jr. a soutenu sa thèse de Doctorat/Phd en Physique, option Mécanique-Énergétique ce 19 mai 2016 dans la salle des conférences de l'Université de Dschang. A l'issue de la soutenance, le jury présidé par le Prof. Anaclet Fomethe lui a décerné, à l'unanimité de ses membres, la mention très honorable.
Voici la présentation powerpoint qu'il a effectuée dans le cadre de cette soutenance.
This document evaluates the macropore component of the RZWQM2 model in simulating subsurface drainage and peaks at hourly time steps. It tests the model at experimental sites in Ontario and Iowa using hourly rainfall and drainage data during peak drainage periods. The results show that while the macropore component did not significantly improve long-term drainage simulations, it did improve the model's ability to simulate hourly drainage peaks compared to simulations without the macropore component. A sensitivity analysis also found that simulated flow was not sensitive to changes in macroporosity and radius parameters.
Chronological Calibration Methods for Landsat Satellite Images iosrjce
This document describes methods for chronologically calibrating Landsat satellite images to account for differences when images are taken days apart. It discusses correcting ETM+ images for scan line failures and converting digital numbers to reflectance. Two methods are proposed to remove phenological effects between Landsat 7 and 8 images taken 8 days apart: linear regression and cross-correlation. Image classification using the visible red and near infrared bands is used to validate the correction methods by comparing land cover detection in study area images.
WaPOR version 3 - Annemarie Klaasse - eLeaf - 05 May 2023.pdfWaPOR
Version 3 of the WaPOR data incorporates new satellite datasets, earth system modeling data, and a relative soil moisture product. It features improved spatial resolution, updated algorithms, cloud computing infrastructure, and addresses user feedback from Version 2. Major changes include new inputs like ERA5 meteorological data, VIIRS, Sentinel-2, and Copernicus DEM. Intermediates like NDVI and LST now benefit from thermal sharpening. Models have updated soil moisture parameterization. Products are delivered at finer spatial scales up to 30m with global and regional coverage.
This document summarizes a master's thesis on quantitatively and qualitatively analyzing the costs, necessity, and implementation of water storage in African countries under future climate variability. The research aims to determine the water storage investments needed to achieve "water security" considering GDP growth and climate predictions. It outlines the research questions, methods, and key results. The methods include defining water security metrics, calculating current and required reservoir capacities, and analyzing output from climate models to predict precipitation and runoff changes in African regions. Key results include the water storage investment matrix and climate simulations showing variability in precipitation and runoff across regions and countries in Africa.
Water Productivity Mapping (WPM) at various Resolutions (scales) using Remote Sensing - A proof of Concept Study in the Syr Darya River Basin in Central Asia - Xueliang Cai, Prasad S. Thenkabail, Alexander Platanov, Chandrashekhar M. Biradar, Yafit Cohen, Victor Alchanatis, Naftali Goldshlager, Eyal Ben-Dor, MuraliKrishna Gumma, Venkateswarlu Dheeravath, and Jagath Vithanage
This document summarizes a study on the impact of wetlands loss on long-term flood risks in Devils Lake, North Dakota under a changing climate. The study used the SWAT hydrological model to simulate streamflow under historical and future climate scenarios with varying levels of wetlands from 0% to 20% of the total basin area. Results showed streamflow is reduced by an average of 0.47 meters for every 5% increase in wetlands extent. Future climate projections showed increased precipitation and temperatures would lead to higher streamflows, but this effect was reduced with greater wetland coverage. Maintaining wetlands is important for mitigating future flood risks in Devils Lake as the climate changes.
Delineation of Mahanadi River Basin by Using GIS and ArcSWATinventionjournals
Precipitation is the significant segment of hydrologic cycle and this essential wellspring of overflow. In hydrological models precipitation as information, release is mimicked at the outlet of a watershed. Exactness of release re-enactment relies on drainage zone of the watershed. Therefore in the present work Mahanadi river basin lying within Odisha (drainage area approximately 65000 sq. km.) has been delineated in to five subbasins based on the five CWC operated discharge sites in Odisha. In the present work Arc-Swat has been used to delineate the watershed with the help of the (digital elevation model) DEM. At last as indicated by area of release locales, the aggregate study range was isolated into five sub-basins in particular Kesinga, Kantamal, Salebhata, Sundergarh and Tikarpada. It was observed that number of sub-watersheds into which the study area is being depicted relies on number of outlets and density of drainage. For a specific number of outlets, the thick is the density of drainage the more is the quantity of sub-watershed and the other way around.
This document is a report from AUSPOS, an online GPS processing service. It processed GPS data from January 7, 2017 to determine precise coordinates for the user's site in both the international ITRF2008 and Australian GDA94 reference frames. The report provides details on the processing including the reference stations used, computed coordinates, positional uncertainties, and standards followed in processing the GPS data.
Time integration of evapotranspiration using a two source surface energy bala...Ramesh Dhungel
This document provides an outline for a dissertation on developing methodologies and models to estimate evapotranspiration (ET) using a two-source surface energy balance model. The objectives are to extrapolate ET between satellite overpass dates using gridded weather data and Landsat-based ET data. A resistance-based two-source surface energy balance model is developed that incorporates a soil water balance model. The model is tested against ET estimates from the METRIC model to estimate ET at higher temporal resolutions than satellite overpasses.
Precision agriculture in maize-based cropping systemsCIMMYT
Precision agriculture aims to ensure crops and soil receive exactly what they need through information technology. It can benefit the environment and farm profits by better using resources like nutrients, water, and pesticides in a spatially and temporally targeted way. Key technologies enabling precision agriculture include GPS, earth observation satellites, drones, proximal sensors, and ICT. These allow for remote sensing, variable rate application, and decision support. Precision agriculture adapted for smallholders in developing countries must address intra-farm variability and be implemented through affordable, appropriate technologies delivered via mobile apps or other ICT to optimize resource use at multiple scales.
The document provides information about the National Centre for Medium Range Weather Forecasting (NCMRWF) in India. Some key points:
1. NCMRWF's mission is to develop advanced numerical weather prediction systems for India and neighboring regions to improve forecast reliability and accuracy.
2. NCMRWF operates global and regional forecast models and an ensemble prediction system. It assimilates various satellite, radiosonde, and surface observations into these models.
3. NCMRWF provides weather forecasts and other products to various government agencies and sectors like agriculture, energy, and disaster management in India.
The document evaluates the WEPP and APEX models for predicting runoff and erosion on Goodwater Creek Field One in Missouri. Both models performed reasonably well at simulating runoff without calibration, with WEPP performing better at predicting sediment yield. The study found that WEPP's physics-based approach worked better than APEX's empirical methods. Overall, the models showed potential for delineating critical soil loss areas to guide conservation efforts. Future work involves scenario modeling with cover crops.
Similar to The upgrade of LARI app by MT Abi Saab (20)
Capacity Bulding - Marloes Mul - IHE Delft - 3 May 2023WaPOR
This document provides an overview of capacity building activities using the WaPOR (Water Productivity through Open access of Remotely sensed derived data) tool. It discusses trainings that have been conducted in various countries on topics like WaPOR concepts and validation. It also describes the development of OpenCourseWare modules to make the training materials openly available online. Overall, the document outlines the trainings implemented and planned, and discusses ways to improve participation in the OpenCourseWare courses.
WaPOR 2- Compendium of solutions - Petra Schmitter - IWMI - 03 May 2023WaPOR
The document summarizes WaPOR Phase 2, which includes:
- Two main international partners and 3 components over 5 years across 10+ countries.
- Country solutions for drought monitoring, irrigation performance, and advisory services in Sudan, Mali, Jordan, Mozambique, Kenya, Ethiopia, Iraq, Tunisia, and Algeria.
- A gender strategy with 5 goals to mainstream gender and social inclusion across the project.
- A co-design process involving stakeholder consultations and workshops to develop solutions and ensure local needs and preferences are met.
WaPOR 2- Compendium of solutions - Petra Schmitter - IWMI - 05 May 2023WaPOR
WaPOR 2 is a 5-year project with 2 main partners and 3 components working in over 10 countries. It involves co-designing solutions with stakeholders and collecting lessons learned. Solutions developed so far include drought monitoring tools for Sudan and Mozambique, irrigation performance tools for Jordan and Mozambique, and a crop irrigation scheduling app for Tunisia. General observations note the importance of adaptive stakeholder engagement and management, as needs and capacities can differ between countries.
WaPOR Portal v2.1 - Karl Morteo - FAO - 5 May 2023WaPOR
The document describes updates and new features for the WaPOR Portal v3.0. Key updates and features include making the portal mobile friendly and accessible directly through a web browser without needing installation, adding interactive help functions, improving metadata cataloging and side-by-side data comparisons, enhancing spatial analysis tools, automating zonal statistics, improving export and image cropping functions, integrating additional data sources, and introducing new water accounting and GISMGR2 tools for tiles, aggregates, calculations, and cloud storage.
Sharing experiences using WaPOR data - Marloes Mul - IHE Delft - 5 May 2023WaPOR
This document summarizes several projects and studies utilizing WaPOR (Water Productivity through Open access of Remotely sensed imagery) data. It describes how WaPOR data was used to analyze crop water productivity and identify water saving opportunities in an irrigation scheme in Kenya. It also discusses how WaPOR data was used to train a spatial crop model to improve sugarcane yield predictions in Ethiopia. Finally, it provides information on accessing WaPOR data and tools, available training courses, and new developments like downscaling WaPOR evapotranspiration data to higher resolutions and a QGIS plugin for WaPOR calculations.
PyWaPOR is an open source Python package that allows users to calculate evapotranspiration (ET), net primary production (NPP), and water productivity (WP) globally or within custom regions using various Earth observation datasets. It provides tools to download and preprocess input data from Landsat, Sentinel, MODIS and other satellites before calculating outputs. The package aims to make these analyses accessible but challenges include difficulty of installation and using Python. Future work may focus on improving usability through a graphical interface or executable installer.
- WaPOR Phase 2 is a 5-year project with FAO, IHE Delft, and IWMI to expand WaPOR applications to over 12 countries. It has 3 components: coordination, database expansion and improvements, and capacity development.
- Good progress has been made expanding WaPOR to new countries and developing training materials, though COVID impacts have caused some delays.
- Key achievements include developing Version 3 of the WaPOR methodology, partnerships for global coverage, and other groups using WaPOR for their projects in areas like irrigation, climate change, and gender.
- Upcoming events include presentations at the FAO Conference and World Water Week to promote WaPOR's global water productivity monitoring capabilities.
WaPOR version 3 - H Pelgrum - eLeaf - 05 May 2023.pdfWaPOR
This document provides an overview of the WaPOR process for producing biophysical models and satellite-derived data products. It describes updates made in version 3, including using higher resolution VIIRS LST data with thermal sharpening, new meteorological inputs of ERA5/AgERA5, smoothing techniques, accounting for free convection in soil moisture modeling, and infrastructure changes in computing and data registration. The goal is to improve spatial resolution and accuracy of root zone soil moisture, evapotranspiration, and net primary production models.
The Antyodaya Saral Haryana Portal is a pioneering initiative by the Government of Haryana aimed at providing citizens with seamless access to a wide range of government services
How To Cultivate Community Affinity Throughout The Generosity JourneyAggregage
This session will dive into how to create rich generosity experiences that foster long-lasting relationships. You’ll walk away with actionable insights to redefine how you engage with your supporters — emphasizing trust, engagement, and community!
Food safety, prepare for the unexpected - So what can be done in order to be ready to address food safety, food Consumers, food producers and manufacturers, food transporters, food businesses, food retailers can ...
This report explores the significance of border towns and spaces for strengthening responses to young people on the move. In particular it explores the linkages of young people to local service centres with the aim of further developing service, protection, and support strategies for migrant children in border areas across the region. The report is based on a small-scale fieldwork study in the border towns of Chipata and Katete in Zambia conducted in July 2023. Border towns and spaces provide a rich source of information about issues related to the informal or irregular movement of young people across borders, including smuggling and trafficking. They can help build a picture of the nature and scope of the type of movement young migrants undertake and also the forms of protection available to them. Border towns and spaces also provide a lens through which we can better understand the vulnerabilities of young people on the move and, critically, the strategies they use to navigate challenges and access support.
The findings in this report highlight some of the key factors shaping the experiences and vulnerabilities of young people on the move – particularly their proximity to border spaces and how this affects the risks that they face. The report describes strategies that young people on the move employ to remain below the radar of visibility to state and non-state actors due to fear of arrest, detention, and deportation while also trying to keep themselves safe and access support in border towns. These strategies of (in)visibility provide a way to protect themselves yet at the same time also heighten some of the risks young people face as their vulnerabilities are not always recognised by those who could offer support.
In this report we show that the realities and challenges of life and migration in this region and in Zambia need to be better understood for support to be strengthened and tuned to meet the specific needs of young people on the move. This includes understanding the role of state and non-state stakeholders, the impact of laws and policies and, critically, the experiences of the young people themselves. We provide recommendations for immediate action, recommendations for programming to support young people on the move in the two towns that would reduce risk for young people in this area, and recommendations for longer term policy advocacy.
RFP for Reno's Community Assistance CenterThis Is Reno
Property appraisals completed in May for downtown Reno’s Community Assistance and Triage Centers (CAC) reveal that repairing the buildings to bring them back into service would cost an estimated $10.1 million—nearly four times the amount previously reported by city staff.
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
AHMR is an interdisciplinary peer-reviewed online journal created to encourage and facilitate the study of all aspects (socio-economic, political, legislative and developmental) of Human Mobility in Africa. Through the publication of original research, policy discussions and evidence research papers AHMR provides a comprehensive forum devoted exclusively to the analysis of contemporaneous trends, migration patterns and some of the most important migration-related issues.
United Nations World Oceans Day 2024; June 8th " Awaken new dephts".Christina Parmionova
The program will expand our perspectives and appreciation for our blue planet, build new foundations for our relationship to the ocean, and ignite a wave of action toward necessary change.
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
PUBLIC FINANCIAL MANAGEMENT SYSTEM (PFMS) and DBT.pptx
The upgrade of LARI app by MT Abi Saab
1. IWMI-Water Productivity WaPOR project
Component 4
Capacity development of stakeholders to increase water
productivity sustainably
Objective 3
Lebanon: Develop, design, pilot, and evaluate potential
solutions to increase water productivity sustainably (Use of ICT
tools in agriculture)
Marie Therese Abi Saab
2. To upgrade LARI-LEB for supporting, through instructions and warnings, farmers of
the Bekaa valley of Lebanon for irrigation management
Figure 1. The geographical location of the Bekaa
valley, Lebanon
Objective of the study
LARI-LEB
Developing a new operational module in LARI-LEB for information on
irrigation management
1. Selection of ET
product
2. Design of LARI-LEB
irrigation module
Study area: Bekaa valley
Crops: wheat, potato, table grapes
3. Spatial mapping of ETo
LARI-Weather Network
Earth Engine Evapotranspiration Flux
1. Selection of ET product
Why validating in terms of ETo???
- Complexity of validating ET data
- ETo and ET common intermediate data (such as weather data)
- Both ETo and ET are used for irrigation scheduling purposes. In fact, crop coefficient Kc can be extracted from ETo and ET data from
the same image date, then after, daily ETo data can be multiplied by Kc layer in order to extrapolate and get ET for other dates.
April-July 2019
4. ETo mapping
LARI-Weather NetworkProducts
ETo maps (daily basis, weekly,
monthly, etc.)
Output ETo maps (8 days-
interval)
ETo maps (daily basis,
decadal, etc.)
Validation
Comparing ETo maps derived from local weather stations and those derived from EEFLUX/WAPOR
Mapping Mean Bias Error (MBE) (% area of Bekaa valley with MBE between -1 and 1 mm/day; comparing min, max and mean MBE for each date)
Daily weather data from 19 weather
stations
www.fieldclimate.com/
Data extraction
https://eeflux-
level1.appspot.com/.
https://wapor.apps.fao.org/
home/WAPOR_2/1.
GIS software
Spatial interpolation
Data processing
GIS software
Stitch mosaic raster, clip
for Bekaa
GIS software
Resample raster, clip for
Bekaa
1. Selection of ET product
5. Table 6. Some criteria to be considered for the selection of the appropriate database to be
used in LARI-LEB upgrade
Criteria ETo-LARI-Stations ETo-EEFLUX ETo-WAPOR
Validity in terms of MBE in respect to LARI-Stations _
Range of mean MBE (mm/day) for each considered date -1.2 to 0.85 -0.95 to 1.5
% of Bekaa area with MBE between -1 and 1 mm/day _ 45 to 94% 50 to 98%
Output product_Time basis
ETo Daily, weekly, dekadal, etc. 8-days interval Daily
ETc Daily, weekly, dekadal, etc. 8-days interval Dekadal, monthly, yearly
Input product_Image resolution
ETo _ continental scale (CFSV2 weather) continental scale (16 km)
ETc _ 30 m
National scale (100 m); basin
scale (30 m) available only for
the Upper Litani
Staff_ Time requirement Time consuming Fast Fast
6. 2. Design of LARI-LEB irrigation module
Rain ET
NIR (mm/day)
GIS
Table 9. Example of Irrigation guiding table for sprinkler irrigated wheat (English version)
Range of
NIR
(mm/day)
Considered
NIR
(mm/day)
Wette
d area
(%)
Average Net
Irrigation Amount
(mm/day)
Efficiency of
irrigation system
(%)
Average Gross
Irrigation Amount
(mm/day)
Irrigation
Amount
(m3/dunum/
day)
0-1 1 100 1 70 1.43 1.43
1-2 2 100 2 70 2.86 2.86
2-3 3 100 3 70 4.29 4.29
3-4 4 100 4 70 5.71 5.71
4-5 5 100 5 70 7.14 7.14
5-6 6 100 6 70 8.57 8.57
6-7 7 100 7 70 10.00 10.00
7-8 8 100 8 70 11.43 11.43
8-9 9 100 9 70 12.86 12.86
9-10 10 100 10 70 14.29 14.29
What is behind the APP?
Developing tables providing GIR for different combinations of crops and irrigation methods
GIR (m3/day/dunum)
7. Crop
Irrigation method
Map of NIR (mm/day)1
Field location
Selection of2
Field size
Water emitter flow (L/hr)
Distance between water
emitters (m)
Distance between rows of
emitters (m)
Information on3
One value of GIR
(m3/day/dunum)
Irrigation duration
(hr/day/farmer field size)
Frequency of irrigation
Information on4
2. Design of LARI-LEB irrigation module How to operate?
13. Conclusion
The present work constitutes a first attempt to develop an irrigation module in LARI-LEB. However, further studies are needed in order
to continue with the following activities:
Processing WAPOR (or other remote sensing products) ETo and ET data in a way to extract Kc and provide updated NIR map very
frequently (each three days for example).
Add a module in LARI-LEB related to crop health in terms of primary production (g of biomass / m2) from WAPOR. This would
help farmers to understand if the crop is growing in a good way.
Work on the possibility of adding forecasted NIR requirements for the next few days
Include more crops in the APP
Extrapolate the work to cover not only the Bekaa valley but also the whole Lebanon
Work on field testing the APP (probably on a selected crop and community of farmers)
15. Figure 2. Distribution of weather stations in pilot area
Station name X Y Altitude (m)
Inside the Bekaa valley
Ammik 35.784302 33.714857 876
Bar Elias 35.940008 33.786783 882
Doures 36.153133 34.00312 1066
El Kaa 36.522961 34.397645 583
Hosh El Oumara 35.91063 33.815888 884
Jabouleh 36.337611 34.234847 847
Kaa2 36.51197 34.386833 583
Kferden 36.046434 34.009472 1049
Kherbit Kanafar 35.719775 33.638183 1005
Machghara 35.667451 33.540318 936
Mansoura 36.412194 34.4306 682
Mchaytiyeh 36.085245 34.15498 1470
Ras Baalbeck 36.427436 34.296443 851
Tal Amara 35.986899 33.856866 915
Talia 36.09336 33.928649 1031
Terbol 35.991025 33.808023 874
Outside the Bekaa valley
Aamatour 35.602861 33.626686 702
Rachaya El Fakhar 35.662762 33.358787 797
Mymis 35.701846 33.441369 820
Table 1. The list of weather stations used in this study and their corresponding geographical coordinates
16. Figure 3. ETo maps elaborated on weekly basis (weekly average of ETo (mm/day)
17. Figure 4. ETo maps elaborated on daily basis for selected days from April till July 2019 (Daily ETo (mm/day)
18. • Version of METRIC (Mapping
Evapotranspiration at high
Resolution with Internalized
Calibration) that operates on the
Google Earth Engine system.
• EEFlux processes individual
Landsat scenes from any period
from 1984 through present and for
nearly every land area on the Globe.
Figure 5. Example of Landsat image covering Lebanon and corresponding ETo image, as extracted from EEFLUX
22. Comparing EEFLUX or WAPOR to LARI-Stations maps of ETo
Image Date % of Bekaa area with MBE values between -1 and 1 mm/day
16-Apr 85
24-Apr 94
02-May 58
10-May 77
18-May 64
26-May 92
03-Jun 71
11-Jun 72
19-Jun 45
27-Jun 65
05-Jul 58
13-Jul 57
21-Jul 56
29-Jul 57
Table 2. Percentage of Bekaa area with MBE values between -1 and 1 mm/day, for
each EEFLUX-image date
Figure 6. Example of Mean Bias Error (MBE) map that show the deviation of
values in respect to those obtained from interpolating the local weather data
45 to 94%
23. Figure 6. Example of Mean Bias Error (MBE) map that show the deviation of
values in respect to those obtained from interpolating the local weather data
Table 3. Percentage of Bekaa area with MBE values between -1 and 1 mm/day, for each
WAPOR-image date
Date % of Bekaa area with MBE values between -1 and 1 mm/day
08-Apr 98
16-Apr 97
24-Apr 98
02-May 65
10-May 89
18-May 72
26-May 96
03-Jun 75
11-Jun 81
19-Jun 67
27-Jun 70
05-Jul 58
13-Jul 67
21-Jul 50
29-Jul 57
50 to 98%
Comparing EEFLUX or WAPOR to LARI-Stations maps of ETo
24. Table 4. EEFLUX-ETo as compared to ETo derived from local data and corresponding Mean Bias Error (MBE), for selected days
EEFLUX-ETo (mm/day) Stations-ETo (mm/day) MBE (mm/day)
Date Min value
Max
value
Mean
value Min value
Max
value
Mean
value
8-Apr-19 3 4 3.5 2.9 4.2 3.55 -0.05
16-Apr-19 1 3 2 2 4.4 3.2 -1.2
24-Apr-19 4 5 4.5 3.2 5 4.1 0.4
2-May-19 3 6 4.5 3.1 6 4.55 -0.05
10-May-19 4 5 4.5 3.6 5.3 4.45 0.05
18-May-19 6 7 6.5 4.7 9.1 6.9 -0.4
26-May-19 5 6 5.5 4.6 7.3 5.95 -0.45
3-Jun-19 6 7 6.5 5.3 8.1 6.7 -0.2
11-Jun-19 6 7 6.5 5.2 10 7.6 -1.1
19-Jun-19 6 7 6.5 4.8 9 6.9 -0.4
27-Jun-19 6 8 7 4.3 8 6.15 0.85
5-Jul-19 6 7 6.5 3.6 8 5.8 0.7
13-Jul-19 6 7 6.5 5 10 7.5 -1
21-Jul-19 6 7 6.5 4.8 7.8 6.3 0.2
29-Jul-19 6 7 6.5 4.9 8.8 6.85 -0.35
-1.2 to 0.85 (mm/day)
Comparing EEFLUX or WAPOR to LARI-Stations maps of ETo
25. Table 5. WAPOR-ETo as compared to ETo derived from local data and corresponding Mean Bias Error (MBE), for selected days
WAPOR-ETo (mm/day) Stations-ETo (mm/day) MBE (mm/day)
Date Min value Max value Mean value Min value Max value Mean value
8-Apr 3.5 4 3.75 2.9 4.2 3.55 0.2
16-Apr 1.7 2.8 2.25 2 4.4 3.2 -0.95
24-Apr 3.7 4.4 4.05 3.2 5 4.1 -0.05
2-May 3.8 5.8 4.8 3.1 6 4.55 0.25
10-May 3.9 4.6 4.25 3.6 5.3 4.45 -0.2
18-May 5.4 6.4 5.9 4.7 9.1 6.9 -1
26-May 5.8 6.6 6.2 4.6 7.3 5.95 0.25
3-Jun 6.7 8 7.35 5.3 8.1 6.7 0.65
11-Jun 6.3 7.2 6.75 5.2 10 7.6 -0.85
19-Jun 5.4 6.5 5.95 4.8 9 6.9 -0.95
27-Jun 7.1 8 7.55 4.3 8 6.15 1.4
5-Jul 6.9 7.7 7.3 3.6 8 5.8 1.5
13-Jul 6.4 7.6 7 5 10 7.5 -0.5
21-Jul 6.9 8.2 7.55 4.8 7.8 6.3 1.25
29-Jul 6.3 7.4 6.85 4.9 8.8 6.85 0
-0.95 to 1.5 (mm/day)
Comparing EEFLUX or WAPOR to LARI-Stations maps of ETo