Search results for " Hunger"

showing 10 items of 1330 documents

Top-of-Atmosphere Retrieval of Multiple Crop Traits Using Variational Heteroscedastic Gaussian Processes within a Hybrid Workflow.

2021

In support of cropland monitoring, operational Copernicus Sentinel-2 (S2) data became available globally and can be explored for the retrieval of important crop traits. Based on a hybrid workflow, retrieval models for six essential biochemical and biophysical crop traits were developed for both S2 bottom-of-atmosphere (BOA) L2A and S2 top-of-atmosphere (TOA) L1C data. A variational heteroscedastic Gaussian process regression (VHGPR) algorithm was trained with simulations generated by the combined leaf-canopy reflectance model PROSAILat the BOA scale and further combined with the Second Simulation of a Satellite Signal in the Solar Spectrum (6SV) atmosphere model at the TOA scale. Establishe…

010504 meteorology & atmospheric sciencesMean squared errorScienceReference data (financial markets)MathematicsofComputing_GENERAL0211 other engineering and technologieshybrid model02 engineering and technologyAtmospheric model01 natural sciencessymbols.namesaketop-of-atmosphere reflectanceKrigingLeaf area indexGaussian process021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensing2. Zero hungerQbiophysical and biochemical traits; top-of-atmosphere reflectance; Sentinel-2; variational heteroscedastic Gaussian process regression; hybrid modelvariational heteroscedastic Gaussian process regressionVegetation15. Life on landsymbolsGeneral Earth and Planetary Sciencesbiophysical and biochemical traitsSentinel-2Scale (map)Remote sensing
researchProduct

Exploitation of SAR and Optical Sentinel Data to Detect Rice Crop and Estimate Seasonal Dynamics of Leaf Area Index

2017

This paper presents and evaluates multitemporal LAI estimates derived from Sentinel-2A data on rice cultivated area identified using time series of Sentinel-1A images over the main European rice districts for the 2016 crop season. This study combines the information conveyed by Sentinel-1A and Sentinel-2A into a high-resolution LAI retrieval chain. Rice crop was detected using an operational multi-temporal rule-based algorithm, and LAI estimates were obtained by inverting the PROSAIL radiative transfer model with Gaussian process regression. Direct validation was performed with in situ LAI measurements acquired in coordinated field campaigns in three countries (Italy, Spain and Greece). Res…

010504 meteorology & atmospheric sciencesMean squared errorScienceleaf area index (LAI)0211 other engineering and technologies02 engineering and technology01 natural sciencesCropAtmospheric radiative transfer codesConsistency (statistics)KrigingSpatial consistencyArròs Malalties i plaguesSentinel-1ALeaf area indexmappingSentinel021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing2. Zero hungerLeaf Area IndexSentinel-2AQCiències de la terrarice mapGeneral Earth and Planetary SciencesEnvironmental sciencerice map; leaf area index (LAI); Sentinel-1A; Sentinel-2A; Gaussian process regressionRice cropGaussian process regressionRemote Sensing
researchProduct

Effects of climate change and land use intensification on regional biological soil crust cover and composition in southern Africa

2022

Biological soil crusts (biocrusts) form a regular and relevant feature in drylands, as they stabilize the soil, fix nutrients, and influence water cycling. However, biocrust forming organisms have been shown to be dramatically vulnerable to climate and land use change occurring in these regions. In this study, we used Normalized Difference Vegetation Index (NDVI) data of biocrust-dominated pixels (NDVIbiocrust) obtained from hyperspectral and LANDSAT-7 data to analyse biocrust development over time and to forecast future NDVIbiocrust development under different climate change and livestock density scenarios in southern Africa. We validated these results by analysing the occurrence and compo…

010504 meteorology & atmospheric sciencesNDVISoil ScienceLibrary science01 natural sciencesGermanRegional developmentEffects of global warmingPolitical science11. SustainabilityNobel laureateBiocrustmedia_common.cataloged_instanceSpatial distributionEuropean union0105 earth and related environmental sciencesmedia_common2. Zero hungerLand useEuropean researchLivestock density04 agricultural and veterinary sciences15. Life on landRemote sensingEcologíaSpace-for-time studylanguage.human_languageEarth system modelDrylands soils13. Climate action040103 agronomy & agriculturelanguage0401 agriculture forestry and fisheriesChristian ministryMulti-temporal Landsat imageryGeoderma
researchProduct

Modelling nitrous oxide emissions from cropland at the regional scale

2006

Arable soils are a large source of nitrous oxide (N2O) emissions, making up half of the biogenic emissions worldwide. Estimating their source strength requires methods capable of capturing the spatial and temporal variability of N2O emissions, along with the effects of crop management. Here, we applied a process-based model, CERES, with geo-referenced input data on soils, weather, and land use to map N2O emissions from wheat-cropped soils in three agriculturally intensive regions in France. Emissions were mostly controlled by soil type and local climate conditions, and only to a minor extent by the doses of fertilizer nitrogen applied. As a result, the direct emission factors calculated at …

010504 meteorology & atmospheric sciencesNITROUS OXIDElcsh:TP670-699Atmospheric sciences01 natural sciencesBiochemistryREGIONAL SCALE[SDV.IDA]Life Sciences [q-bio]/Food engineeringAGRONOMIENitrogen cycleComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciences2. Zero hungerLand useIntensive farmingARABLE CROPSMODELLING04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering15. Life on landSoil type13. Climate actionGreenhouse gasSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceSpatial variabilitylcsh:Oils fats and waxesArable landFood Science
researchProduct

The Synergistic Impacts of Anthropogenic Stressors and COVID-19 on Aquaculture: A Current Global Perspective

2021

13 pages, 6 figures, 2 tables.-- This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License

010504 meteorology & atmospheric sciencesNatural resource economicsSocio-ecological systemsvulnerabilityVulnerabilitySARS (Disease)01 natural sciencesFood security -- Case studiesStakeholder perceptionsCOVID-19 (Disease)Aquaculturefood insecurityStakeholderPerceptionsClimate changeZoologíastakeholders perceptions2. Zero hunger04 agricultural and veterinary sciencesSARS-COV2-pandemicmultiple stressorsFood insecurityclimate change2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)VulnerabilityClimate changesocio-ecological systemManagement Monitoring Policy and LawAquatic Science14. Life underwaterSARS-CoV-2 pandemic ; supply chain ; food insecurity ; climate change ; multiple stressors ; vulnerability ; stakeholder perceptions ; socioecological systemsMultiple stressorssupply chainEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesFood insecuritybusiness.industryPerspective (graphical)Stressorclimate change food insecurity multiple stressors SARS-CoV-2 pandemic socio-ecological systems stakeholder perceptions supply chain vulnerabilitySocioecological systemsVulnerability model of recoveryClimatic changesSupply chain13. Climate action040102 fisheriesBusiness logistics -- Case studies0401 agriculture forestry and fisheriesEnvironmental scienceSARS-CoV-2 pandemicbusiness
researchProduct

Transboundary Basins Need More Attention: Anthropogenic Impacts on Land Cover Changes in Aras River Basin, Monitoring and Prediction.

2020

Changes in land cover (LC) can alter the basin hydrology by affecting the evaporation, infiltration, and surface and subsurface flow processes, and ultimately affect river water quantity and quality. This study aimed to monitor and predict the LC composition of a major, transboundary basin contributing to the Caspian Sea, the Aras River Basin (ARB). To this end, four LC maps of ARB corresponding to the years 1984, 2000, 2010, and 2017 were generated using Landsat satellite imagery from Armenia and the Nakhchivan Autonomous Republic. The LC gains and losses, net changes, exchanges, and the spatial trend of changes over 33 years (1984–2017) were investigated. The most important drivers of the…

010504 meteorology & atmospheric sciencesScienceDrainage basinland change modelerLand cover010501 environmental sciencesStructural basin01 natural sciencesremote sensingHydrology (agriculture)Satellite imagerySubsurface flow0105 earth and related environmental sciences2. Zero hungergeographygeography.geographical_feature_categorybusiness.industryQ15. Life on land6. Clean wateranthropogenic impactsWater resourcesAras River Basin13. Climate actionAgriculturetransboundary basinGeneral Earth and Planetary SciencesEnvironmental scienceWater resource managementbusinessRemote sensing
researchProduct

Soil erosion processes in European vineyards: A qualitative comparison of rainfall simulation measurements in Germany, Spain and France

2016

Small portable rainfall simulators are considered a useful tool to analyze soil erosion processes in cultivated lands. European research groups in Spain (Valencia, Málaga, Lleida, Madrid and La Rioja), France (Reims) and Germany (Trier) have used different rainfall simulators (varying in drop size distribution and fall velocities, kinetic energy, plot forms and sizes, and field of application) to study soil loss, surface flow, runoff and infiltration coefficients in different experimental plots (Valencia, Montes de Málaga, Penedès, Campo Real and La Rioja in Spain, Champagne in France and Mosel-Ruwer valley in Germany). The measurements and experiments developed by these research teams give…

010504 meteorology & atmospheric sciencesWater en Landgebruiksoil hydrologyOceanography01 natural sciencesRUISSELLEMENTSoilvineyardsBodemSoil Water and Land UseQualitative comparisonlcsh:ScienceWaste Management and DisposalWater Science and Technology2. Zero hungerSoil classification04 agricultural and veterinary sciencesqualitative comparisonPE&RCInfiltration (hydrology)INFILTRATIONERODIBILITE DU SOLPRECIPITATIONErosionWEPPSIMULATION DE PLUIESoil hydrologyEAU DU SOLSoil scienceVIGNESoil lossETUDE COMPARATIVE[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology0105 earth and related environmental sciencesEarth-Surface ProcessesTerroirHydrologysoil erosionWater and Land UseTERRE CULTIVABLEECOULEMENT DE SURFACErainfall simulation15. Life on landBodemfysica en LandbeheerVineyardsRainfall simulationBodem Water en LandgebruikSoil Physics and Land Managementrainfall simulation; soil erosion; soil hydrology; qualitative comparison; vineyardsrainfall simulation soil erosion soil hydrology qualitative comparison vineyards040103 agronomy & agricultureRainfall simulationSoil erosion0401 agriculture forestry and fisheriesEnvironmental sciencelcsh:QSurface runoffMETHODOLOGIE
researchProduct

A high-resolution, integrated system for rice yield forecasting at district level

2019

Abstract To meet the growing demands from public and private stakeholders for early yield estimates, a high-resolution (2 km × 2 km) rice yield forecasting system based on the integration of the WARM model and remote sensing (RS) technologies was developed. RS was used to identify rice-cropped area and to derive spatially distributed sowing dates, and for the dynamic assimilation of RS-derived leaf area index (LAI) data within the crop model. The system—tested for the main European rice production districts in Italy, Greece, and Spain—performed satisfactorily; >66% of the inter-annual yield variability was explained in six out of eight combinations of ecotype × district, with a maximum of 8…

010504 meteorology & atmospheric sciencesYield (finance)Agricultural engineering01 natural sciencesCropremote sensingWARM modelOryza sativa L.CultivarLeaf area indexBlast disease0105 earth and related environmental sciences2. Zero hungerassimilationSowing04 agricultural and veterinary sciencesRemote sensingblast diseaseBlast diseaseAssimilation040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceAnimal Science and ZoologyAgronomy and Crop ScienceDistrict level
researchProduct

Long-term annual burning of grassland increases CO2 emissions from soils.

2016

7 pages; International audience; Grasslands have potential to mitigate against climate change because of their large capacity to store soil organic carbon (SOC). However, the long-term impact of grassland management such as burning, which is still common in many areas of the world, on SOC is still a matter of debate. The objective of this study was to quantify the long-term effects of annual burning on CO2 output from soils and SOC stocks. The study was performed on a 62 years old field trial comparing annual burning (AB) to no burning associated with tree encroachment (NB), and to annual mowing (AM) with all treatments laid out in randomized block design with three replicates per treatment…

010504 meteorology & atmospheric sciences[ SDV.SA.SDS ] Life Sciences [q-bio]/Agricultural sciences/Soil study[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/AgronomySoil Science[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study01 natural sciencesCarbon cycleSoil respiration[ SDV.SA.AGRO ] Life Sciences [q-bio]/Agricultural sciences/AgronomyGrassland managementWater content0105 earth and related environmental sciences2. Zero hungerBurningSoil organic matterSoil chemistry04 agricultural and veterinary sciencesSoil carbonSoil respirationCarbon cycle15. Life on landBulk densitySoil carbonAgronomy13. Climate actionSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental science
researchProduct

Simulation of nitrous oxide emissions from wheat-cropped soils using CERES

2005

Estimation of nitrous oxide (N2O) emissions from arable soils, in relation to crop fertilization, is essential to devise strategies to mitigate the impact of agriculture on global warming. This paper presents the development and test of a N2O model resulting from the linkage of a dynamic soil-crop simulation model (CERES) with two sub-models of N2O production and reduction in soils. These sub-models (NOE and NGAS) account for both the nitrification and denitrification pathways. The resulting models (CERES–NOE and CERES–NGAS) were tested against experimental data collected on three contrasting wheat-cropped soils representative of the Beauce agricultural region in France. Although the input …

010504 meteorology & atmospheric sciences[SDV]Life Sciences [q-bio]Soil ScienceSoil scienceengineering.materialCERES01 natural sciencesModellingchemistry.chemical_compound[ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces environmentAGRONOMIE[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciences2. Zero hungerNitrous oxideGlobal warming04 agricultural and veterinary sciencesNitrous oxideCalcisol15. Life on landSoil type[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces environmentGreenhouse gaseschemistry13. Climate actionGreenhouse gasFertilizationSoil water[SDE]Environmental Sciences040103 agronomy & agricultureengineering0401 agriculture forestry and fisheriesEnvironmental scienceFertilizerArable landAgronomy and Crop Science
researchProduct