Search results for "ITC-GOLD"

showing 8 items of 8 documents

Development and analysis of the Soil Water Infiltration Global database

2018

27 Pags.- 11 Tabls.- 8 Figs. © Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License.

Condutividade Hidráulica[SDV]Life Sciences [q-bio]0208 environmental biotechnology02 engineering and technologySilt910computer.software_genreSoilRING INFILTROMETERS900 Geschichte und Geografie::910 Geografie Reisen::910 Geografie ReisenHydraulic conductivityELECTRICAL-CONDUCTIVITYAgricultural landddc:550Meteorology & Atmospheric SciencesSATURATED HYDRAULIC CONDUCTIVITYGeosciences Multidisciplinarydatabaselcsh:Environmental sciences2. Zero hungerlcsh:GE1-350DatabaseIN-SITUlcsh:QE1-996.5Geology04 agricultural and veterinary sciencesPE&RCPedo-transfer functions6. Clean waterInfiltration (hydrology)HYDROPHYSICAL PARAMETERS[SDE]Environmental SciencesPhysical SciencesINFILTRATION GLOBAL DATABASEHidrologiaHydraulic conductivityPHYSICAL-PROPERTIESSANDY SOILTENSION INFILTROMETEREcology and EnvironmentPedotransfer functionPEDOTRANSFER FUNCTIONSLife ScienceSOIL INFILTRATION MEASUREMENTSLand surface modelsInfiltration (hydrology)Soil Water Infiltration Global databaseANALYSIS OF THE SOIL WATERScience & TechnologyLand useInfiltration15. Life on land020801 environmental engineeringInfiltraçãolcsh:GeologySoloInfiltration Land surface models Land use Pedo-transfer functionsSWIGAgriculture and Soil ScienceData qualityITC-ISI-JOURNAL-ARTICLEEarth and Environmental SciencesINFILTROMETER MEASUREMENTSLand useSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesGeneral Earth and Planetary SciencesEnvironmental scienceHydrologyITC-GOLDcomputer
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Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000-17.

2020

Background: Universal access to safe drinking water and sanitation facilities is an essential human right, recognised in the Sustainable Development Goals as crucial for preventing disease and improving human wellbeing. Comprehensive, high-resolution estimates are important to inform progress towards achieving this goal. We aimed to produce highresolution geospatial estimates of access to drinking water and sanitation facilities. Methods: We used a Bayesian geostatistical model and data from 600 sources across more than 88 low-income and middle-income countries (LMICs) to estimate access to drinking water and sanitation facilities on continuous continent-wide surfaces from 2000 to 2017, and…

Drinking water accessSanitationUniversal designGeographic MappingSocioeconomic FactorDISEASE0302 clinical medicineRA0421Hygiene11. SustainabilityGlobal health030212 general & internal medicineSanitationmedia_common2. Zero hungerPublic healthlcsh:Public aspects of medicine1. No povertyGeneral Medicine3142 Public health care science environmental and occupational health6. Clean waterLow-income countries3. Good healthA990 Medicine and Dentistry not elsewhere classifiedCHILD GROWTHTERRITORIESHYGIENEHuman0605 MicrobiologyDiarrheaAFRICAmedicine.medical_specialtymedia_common.quotation_subject030231 tropical medicineLocal Burden of Disease WaSH CollaboratorsDeveloping countryArticleGeographical inequalities1117 Public Health and Health Services12. Responsible consumptionDeveloping Countrie03 medical and health sciencesNUTRITIONAL INTERVENTIONSEnvironmental healthmedicineSYSTEMATIC ANALYSISHumansQUALITYSanitation/statistics & numerical dataOpen defecationImproved sanitationhand washingDeveloping CountriesModels StatisticalMiddle-income countriesDrinking WaterPublic healthlcsh:RA1-1270Bayes TheoremGLOBAL BURDENdiarrheal diseaseDIARRHEADiarrhea/epidemiologyLocal Burden of Disease WaSH CollaboratorSocioeconomic Factors0605 Microbiology 1117 Public Health and Health ServicesITC-ISI-JOURNAL-ARTICLEBusinessHuman medicineSanitation facilitiesITC-GOLD
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Cloud-based interactive susceptibility modeling of gully erosion in Google Earth Engine

2022

The gully erosion susceptibility literature is largely dominated by contributions focused on model comparison. This has led to prioritize certain aspects and leave others underdeveloped as compared to other natural hazard applications. For instance, in gully erosion data-driven modeling most studies use different platforms when it comes to data management, modeling and conversion into predictive maps. This in turn has limited the scope to catchment-scales. In this manuscript, we opt to propose a tool where the whole modeling procedure is unified within the same cloud computing system, allowing one to get rid of potential errors caused by input/output operations but also to extend the study …

Global and Planetary ChangeUT-Gold-DSusceptibility modelingITC-ISI-JOURNAL-ARTICLEOpen sourcingCloud computingManagement Monitoring Policy and LawComputers in Earth SciencesITC-GOLDGoogle Earth EngineEarth-Surface Processes
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Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000-17

2020

Background: Oral rehydration solution (ORS) is a form of oral rehydration therapy (ORT) for diarrhoea that has the potential to drastically reduce child mortality; yet, according to UNICEF estimates, less than half of children younger than 5 years with diarrhoea in low-income and middle-income countries (LMICs) received ORS in 2016. A variety of recommended home fluids (RHF) exist as alternative forms of ORT; however, it is unclear whether RHF prevent child mortality. Previous studies have shown considerable variation between countries in ORS and RHF use, but subnational variation is unknown. This study aims to produce high-resolution geospatial estimates of relative and absolute coverage o…

RJ101medicine.medical_treatmentCHILDRENZINC0302 clinical medicine030212 general & internal medicinemedia_commonGeographylcsh:Public aspects of medicine1. No povertyLow income and middle income countriesGeneral Medicine3142 Public health care science environmental and occupational health3. Good healthPeer reviewGeographyChild PreschoolA990 Medicine and Dentistry not elsewhere classifiedGeographical inequalities0605 MicrobiologyDiarrheaAFRICAInequalityDEATHSmedia_common.quotation_subject030231 tropical medicineDeveloping countryArticleRS1117 Public Health and Health Services03 medical and health sciencesMORBIDITYEnvironmental healthDIARRHEAL DISEASEmedicineHumansOral rehydration therapyHealthcare DisparitiesDeveloping CountriesModels StatisticalCHOLERAMORTALITYInfant NewbornInfantlcsh:RA1-1270Bayes TheoremMiddle incomeGLOBAL BURDENChild mortality0605 Microbiology 1117 Public Health and Health ServicesHealth Care SurveysITC-ISI-JOURNAL-ARTICLEFluid TherapyNAHuman medicineITC-GOLD
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Comparison of machine learning models for gully erosion susceptibility mapping

2020

© 2019 China University of Geosciences (Beijing) and Peking University Gully erosion is a disruptive phenomenon which extensively affects the Iranian territory, especially in the Northern provinces. A number of studies have been recently undertaken to study this process and to predict it over space and ultimately, in a broader national effort, to limit its negative effects on local communities. We focused on the Bastam watershed where 9.3% of its surface is currently affected by gullying. Machine learning algorithms are currently under the magnifying glass across the geomorphological community for their high predictive ability. However, unlike the bivariate statistical models, their structu…

Watershed010504 meteorology & atmospheric sciencesComputer scienceBivariate analysisLogistic model tree model010502 geochemistry & geophysicsMachine learningcomputer.software_genre01 natural sciencesLogistic model treeNatural hazardEntropy (information theory)Oil erosion0105 earth and related environmental sciencesbusiness.industrylcsh:QE1-996.5Statistical modelGISlcsh:GeologyITC-ISI-JOURNAL-ARTICLEGeneral Earth and Planetary SciencesAlternating decision treeAlternating decision tree modelArtificial intelligenceITC-GOLDbusinesscomputerDecision tree modelGeoscience Frontiers
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Monitoring Water and Energy Cycles at Climate Scale in the Third Pole Environment (CLIMATE-TPE)

2021

A better understanding of the water and energy cycles at climate scale in the Third Pole Environment is essential for assessing and understanding the causes of changes in the cryosphere and hydrosphere in relation to changes of plateau atmosphere in the Asian monsoon system and for predicting the possible changes in water resources in South and East Asia. This paper reports the following results: (1) A platform of in situ observation stations is briefly described for quantifying the interactions in hydrosphere-pedosphere-atmosphere-cryosphere-biosphere over the Tibetan Plateau. (2) A multiyear in situ L-Band microwave radiometry of land surface processes is used to develop a new microwave r…

ddc:621.3Scienceearth observationAtmospheric sciencesevaporationTroposphereEvapotranspirationTibetan PlateauCryosphereEast Asian MonsoonmonsoonStratosphereThird Pole EnvironmentgeographyPlateaugeography.geographical_feature_categoryQITC-ISI-JOURNAL-ARTICLEGeneral Earth and Planetary SciencesEnvironmental scienceddc:620soil moistureITC-GOLDWater vaporThird Pole Environment; Tibetan Plateau; monsoon; earth observation; evaporation; soil moisture; microwave remote sensingHydrosphereRemote Sensing
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On the use of unmanned aerial systems for environmental monitoring

2018

[EN] Environmental monitoring plays a central role in diagnosing climate and management impacts on natural and agricultural systems; enhancing the understanding of hydrological processes; optimizing the allocation and distribution of water resources; and assessing, forecasting, and even preventing natural disasters. Nowadays, most monitoring and data collection systems are based upon a combination of ground-based measurements, manned airborne sensors, and satellite observations. These data are utilized in describing both small-and large-scale processes, but have spatiotemporal constraints inherent to each respective collection system. Bridging the unique spatial and temporal divides that li…

environmental_sciencesINGENIERIA HIDRAULICA010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologies02 engineering and technology01 natural sciencesRiver monitoringBridge (nautical)Field (computer science)Vegetation indicesRiver monitoringEnvironmental monitoringEnvironmental impact assessmentSatellite imageryNatural disasterWater content2. Zero hungerMoistureAgricultural ecosystemsSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaEnvironmental monitoring04 agricultural and veterinary sciencesVegetationRemote sensingRemote sensing (archaeology)Vegetation indiceSystems engineeringUASEarth and Planetary Sciences (all)Context (language use)Leverage (statistics)EcosystemRemote sensing021101 geological & geomatics engineering0105 earth and related environmental sciencesData collectionPrecision agriculturebusiness.industryWater resources13. Climate actionAgricultureITC-ISI-JOURNAL-ARTICLESoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceGeneral Earth and Planetary SciencesPrecision agricultureSoil moisturebusinessITC-GOLDSettore ICAR/06 - Topografia E Cartografia
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The global distribution of lymphatic filariasis, 2000–18:a geospatial analysis

2020

Background Lymphatic filariasis is a neglected tropical disease that can cause permanent disability through disruption of the lymphatic system. This disease is caused by parasitic filarial worms that are transmitted by mosquitos. Mass drug administration (MDA) of antihelmintics is recommended by WHO to eliminate lymphatic filariasis as a public health problem. This study aims to produce the first geospatial estimates of the global prevalence of lymphatic filariasis infection over time, to quantify progress towards elimination, and to identify geographical variation in distribution of infection. Methods A global dataset of georeferenced surveyed locations was used to model annual 2000–18 lym…

medicine.medical_specialtyGeospatial analysis030231 tropical medicineElephantiasis:ELIMINATIONcomputer.software_genreArticleLocal Burden of Disease 2019 Neglected Tropical Diseases Collaborators1117 Public Health and Health Services03 medical and health sciences0302 clinical medicineRA0421Environmental healthGlobal healthmedicine030212 general & internal medicineMass drug administrationLymphatic filariasisPublic healthlcsh:Public aspects of medicineTropical diseaselcsh:RA1-1270General Medicinemedicine.disease3. Good healthQRGeographyLymphatic systemITC-ISI-JOURNAL-ARTICLEA990 Medicine and Dentistry not elsewhere classifiedITC-GOLDcomputer0605 Microbiology
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