Search results for "crop"

showing 10 items of 3837 documents

The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations

2021

Funding Information: We are thankful to the GlobBiomass project team and Frank Martin Seifert (ESA) for valuable suggestions and stimulating scientific discussions. We are thankful to Takeo Tadono (JAXA EORC), Masato Hayashi, (JAXA EORC), Kazufumi Kobayashi (RESTEC), Åke Rosenqvist (soloEO), and Josef Kellndorfer (EBD) for support with the use and interpretation of the ALOS PALSAR mosaics. Support by the CCI Land Cover project team, in particular Sophie Bontemps (UCL), is greatly acknowledged. The help from Martin Jung (MPI-BGC) in feature selection and Ulrich Weber (MPI-BGC) for data processing for the GSV-to-AGB conversions is greatly acknowledged. Forest inventory data for the validation…

010504 meteorology & atmospheric sciencesALOS PALSAR0211 other engineering and technologies02 engineering and technology01 natural sciencesLaboratory of Geo-information Science and Remote SensingSDG 13 - Climate ActionGE1-350BiomassEMISSIONSSDG 15 - Life on LandQE1-996.5GROWING STOCK VOLUMETaigaGeologyPE&RCPlant Production SystemsMAPbiomaCARBON-CYCLECrop and Weed EcologySynthetic aperture radarPhysical geographyRETRIEVALUNITED-STATESEarth and Planetary Sciences(all)Synthetic aperture radarSubtropicsSpatial distributionEnvironmental scienceCarbon cycletropicsTemperate climateBOREAL FORESTSMANAGEMENTLife ScienceSpatial ecologySpatial distributionLaboratorium voor Geo-informatiekunde en Remote Sensing021101 geological & geomatics engineering0105 earth and related environmental sciencesForest inventoryRadarTemperate climateEnvironmental sciencesSatelliteEarth and Environmental SciencesDENSITYPlantaardige ProductiesystemenSpatial ecologyEnvironmental scienceGeneral Earth and Planetary SciencescavelabPhysical geographyForest inventory
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Using scintillometry to assess reference evapotranspiration methods and their impact on the water balance of olive groves

2016

Abstract Reference evapotranspiration (ET 0 ) is widely used for irrigation scheduling, to promote an efficient use of water resources for a sustainable agro-ecosystem productivity, as well as to manage water quality and to face other environmental concerns. As suggested by ASCE-EWRI and FAO, standard Penman–Monteith methods are generally applied for an accurate estimation of ET 0 from hourly to daily scale. In absence of detailed meteorological information several simplified equations, using a limited number of variables, have been proposed as alternative. In this paper, the performance of different reference evapotranspiration methods, at hourly (Penman–Monteith, Pristley–Taylor, Makkink …

010504 meteorology & atmospheric sciencesASCE and FAO-56 papers0208 environmental biotechnologySoil Science02 engineering and technologyET Radiation based models01 natural scienceslaw.inventionWater balancelawScintillometerEvapotranspirationSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliReference evapotranspiration; ASCE and FAO-56 papers; Scintillometer; ET Radiation based modelsReference evapotranspirationPenman–Monteith equation0105 earth and related environmental sciencesWater Science and TechnologyEarth-Surface ProcessesHydrologyEvapotranspirationSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaIrrigation schedulingMicrometeorology020801 environmental engineeringWater resourcesScintillometerEnvironmental scienceWater qualityMediterranean climateScale (map)Agronomy and Crop Science
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The joint sets on the Lilstock Benches, UK. Observations based on mapping a full resolution UAV-based image

2021

Outcrop studies of fracture networks are important to understand fractured reservoirs in the subsurface, but complete maps of all fractures in large outcrops are rare due to limitations of outcrop and image resolution. We manually mapped the first full-resolution UAV-based, Gigapixel dataset and DEM of the wave-cut Lilstock Benches in the southern Bristol Channel basin, a classic outcrop of layer-bound fracture networks in limestones. We present a map of the patterns and age relationships of successive sets of joints in dm-thick limestone layers separated by claystone beds. Using interpretation criteria based on crosscutting relationships, abutting and joint length, up to eight successive s…

010504 meteorology & atmospheric sciencesChannel (digital image)OutcropOrientation (computer vision)Geology010502 geochemistry & geophysics01 natural sciencesFracture (geology)Scale (map)Image resolutionJoint (geology)GeologySeismology0105 earth and related environmental sciencesNetwork model
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Structural characterization and chemical composition of aragonite and vaterite in freshwater cultured pearls

2008

AbstractVaterite and aragonite polymorphs in freshwater cultured pearls from mussels of the genus Hyriopsis (Unionidae) were structurally and compositionally characterized by Raman spectroscopy, Micro computer tomography, high resolution field emission scanning electron microscopy, electron microprobe analysis and laser ablation inductively coupled plasma mass spectrometry. The appearance of vaterite in pearls is related to the initial stages of biomineralization, although we demonstrate that vaterite can not be a precursor to aragonite. It is not related to a particular crystal habit and therefore does not have a structural functionality in the pearls. Larger contents of elements typically…

010504 meteorology & atmospheric sciencesChemistryAragoniteMineralogyElectron microprobeengineering.material010502 geochemistry & geophysics01 natural sciencessymbols.namesakeChemical engineeringGeochemistry and PetrologyVateriteengineeringsymbolsCrystal habitRaman spectroscopyChemical composition0105 earth and related environmental sciencesMacromoleculeBiomineralizationMineralogical Magazine
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Soil organic carbon stock on the Majorca Island: temporal change in agricultural soil over the last 10 years

2019

8 Pags.- 5 Tabls.- 3 Figs.

010504 meteorology & atmospheric sciencesConservation agricultureLand managementMediterranean soil organic carbonspatial variationSpatial and temporal variationCarbon sequestration01 natural sciencestemporal changeSoil managementMediterranean soil carbonsoil carbon sequestrationAgricultural landGeostatistics0105 earth and related environmental sciencesEarth-Surface ProcessesAgroforestrySoil organic matter04 agricultural and veterinary sciencesSoil carbonCrop rotationMajorca carbon storage040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceCrop management
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Modelling the Effects of Climate Change on the Supply of Inorganic Nitrogen

2009

Human-induced changes in the nitrogen cycle due to the increased use of artificial fertilisers, the cultivation of nitrogen-fixing crops and atmospheric deposition have made nitrogen pollution to surface waters a long-standing cause for concern. In Europe, legislation has been introduced to minimise the risk of water quality degradation from excessive nitrogen inputs e.g., the European Union Nitrates Directive (EU, 1991), Drinking Water Directive (EU, 1998) and Water Framework Directive (EU, 2000). Coastal regions in particular have been an important focus, since coastal eutrophication has been attributed to increased fluxes of nitrogen from the landscape (Howarth et al., 1996; Boesch et al…

010504 meteorology & atmospheric sciencesEcology0207 environmental engineering02 engineering and technology15. Life on land01 natural sciences6. Clean waterMacrophyteWater Framework Directive13. Climate actionEnvironmental protectionNutrient pollutionDrinking water directiveEnvironmental sciencemedia_common.cataloged_instance14. Life underwaterWater qualityEuropean union020701 environmental engineeringEutrophicationNitrogen cycle0105 earth and related environmental sciencesmedia_common
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Downscaling of American National Aeronautics and Space Administration (NASA) daily air temperature in Sicily, Italy, and effects on crop reference ev…

2018

Abstract Air temperature (Ta) is one of the key factors in agro-hydrological studies including estimation of crop reference evapotranspiration (ET0), which is crucial for irrigation water management and sustainability of agro-ecosystem productivity. Because direct measurements of ET0 are difficult, expensive and time consuming, the use of physically based or empirical approaches linked to meteorological information is often preferred. The Prediction of Worldwide Energy Resource project developed by the American National Aeronautics and Space Administration (POWER-NASA) provides daily meteorological information on a 1° latitude by 1° longitude grid. Despite the poor spatial resolution charac…

010504 meteorology & atmospheric sciencesElevationSoil ScienceLapse rateHargreaves equation04 agricultural and veterinary sciences01 natural sciencesLatitudeAeronauticsEvapotranspirationTurc equationWeather dat040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliPenman–Monteith equationDigital elevation modelLongitudeAgronomy and Crop Science0105 earth and related environmental sciencesDownscalingPOWER-NASAWater Science and TechnologyEarth-Surface Processes
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Projecting Exposure to Extreme Climate Impact Events Across Six Event Categories and Three Spatial Scales

2020

Summarization: The extent and impact of climate‐related extreme events depend on the underlying meteorological, hydrological, or climatological drivers as well as on human factors such as land use or population density. Here we quantify the pure effect of historical and future climate change on the exposure of land and population to extreme climate impact events using an unprecedentedly large ensemble of harmonized climate impact simulations from the Inter‐Sectoral Impact Model Intercomparison Project phase 2b. Our results indicate that global warming has already more than doubled both the global land area and the global population annually exposed to all six categories of extreme events co…

010504 meteorology & atmospheric sciencesHYDROLOGICAL MODELSPopulation0207 environmental engineeringFLOOD RISKEnvironmental Sciences & Ecology02 engineering and technologySubtropics[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology01 natural sciencesPopulation densityLatitudeClimate-related extreme events/dk/atira/pure/sustainabledevelopmentgoals/climate_actionEarth and Planetary Sciences (miscellaneous)SDG 13 - Climate ActionMeteorology & Atmospheric SciencesBURNED AREAGLOBAL CROP PRODUCTIONGeosciences Multidisciplinary020701 environmental engineeringeducation0105 earth and related environmental sciencesGeneral Environmental ScienceEvent (probability theory)education.field_of_studyScience & TechnologyLand useGlobal warmingGlobal warmingVEGETATION MODEL ORCHIDEEGeology15. Life on landTERRESTRIAL CARBON BALANCE13. Climate actionClimatologyPhysical SciencesTROPICAL CYCLONE ACTIVITYHURRICANE INTENSITYEnvironmental scienceTropical cycloneINTERANNUAL VARIABILITYLife Sciences & BiomedicineEnvironmental SciencesINCORPORATING SPITFIRE
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Multi-Crop Green LAI Estimation with a New Simple Sentinel-2 LAI Index (SeLI)

2019

The spatial quantification of green leaf area index (LAIgreen), the total green photosynthetically active leaf area per ground area, is a crucial biophysical variable for agroecosystem monitoring. The Sentinel-2 mission is with (1) a temporal resolution lower than a week, (2) a spatial resolution of up to 10 m, and (3) narrow bands in the red and red-edge region, a highly promising mission for agricultural monitoring. The aim of this work is to define an easy implementable LAIgreen index for the Sentinel-2 mission. Two large and independent multi-crop datasets of in situ collected LAIgreen measurements were used. Commonly used LAIgreen indices applied on the Sentinel-2 10 m &times

010504 meteorology & atmospheric sciencesMean squared error0211 other engineering and technologiesRed edge02 engineering and technologylcsh:Chemical technology01 natural sciencesBiochemistryArticleAnalytical Chemistryremote sensingred-edgelcsh:TP1-1185Sensitivity (control systems)Electrical and Electronic EngineeringLeaf area indexInstrumentationImage resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingMathematics2. Zero hungerPixelleaf area indexVegetation15. Life on landcropsAtomic and Molecular Physics and OpticsTemporal resolutionvegetation indicesSentinel-2Sensors
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Optimizing Gaussian Process Regression for Image Time Series Gap-Filling and Crop Monitoring

2020

Image processing entered the era of artificial intelligence, and machine learning algorithms emerged as attractive alternatives for time series data processing. Satellite image time series processing enables crop phenology monitoring, such as the calculation of start and end of season. Among the promising algorithms, Gaussian process regression (GPR) proved to be a competitive time series gap-filling algorithm with the advantage of, as developed within a Bayesian framework, providing associated uncertainty estimates. Nevertheless, the processing of time series images becomes computationally inefficient in its standard per-pixel usage, mainly for GPR training rather than the fitting step. To…

010504 meteorology & atmospheric sciencesMean squared errorComputer science0211 other engineering and technologiesImage processing02 engineering and technologycomputer.software_genre01 natural scienceslcsh:AgricultureKrigingTime series021101 geological & geomatics engineering0105 earth and related environmental sciences2. Zero hungerHyperparameterPixelSeries (mathematics)lcsh:SGaussian processes regressionSatellite Image Time SeriesData miningtime seriesSentinel-2optimizationAgronomy and Crop Sciencecomputercrop monitoringphenology indicatorsAgronomy
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