Search results for "VEGETATION"

showing 10 items of 1069 documents

Direct validation of FVC, LAI and FAPAR VEGETATION/SPOT derived products using LSA SAF methodology

2007

The aim of this work is to perform a direct validation of fraction of vegetation cover (FVC), leaf area index (LAI) and fraction of absorbed photosynthetically active radiation (FAPAR) resulting products from applying the LSA SAF methodology to VEGETATION BRDF data. LSA SAF adapted algorithms were tested in adequate test sites comprising different continental biomes covering a wide range of FVC, LAI and FAPAR values. Results seem to indicate the competitiveness of LSA SAF proposed methodology to retrieve remotely sensed biophysical parameters. A noticeable good agreement regarding the ground measurements was found. The overall accuracy (RAISE) is around 20% for FVC and FAPAR and around 15% …

FEV1/FVC ratioPhotosynthetically active radiationBiomeEnvironmental scienceEnhanced vegetation indexVegetationBidirectional reflectance distribution functionLeaf area indexVegetation coverRemote sensing2007 IEEE International Geoscience and Remote Sensing Symposium
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Spectral band selection for vegetation properties retrieval using Gaussian processes regression

2020

Abstract With current and upcoming imaging spectrometers, automated band analysis techniques are needed to enable efficient identification of most informative bands to facilitate optimized processing of spectral data into estimates of biophysical variables. This paper introduces an automated spectral band analysis tool (BAT) based on Gaussian processes regression (GPR) for the spectral analysis of vegetation properties. The GPR-BAT procedure sequentially backwards removes the least contributing band in the regression model for a given variable until only one band is kept. GPR-BAT is implemented within the framework of the free ARTMO's MLRA (machine learning regression algorithms) toolbox, w…

FOS: Computer and information sciences010504 meteorology & atmospheric sciencesComputer Vision and Pattern Recognition (cs.CV)0211 other engineering and technologiesComputer Science - Computer Vision and Pattern Recognition02 engineering and technologyManagement Monitoring Policy and Law01 natural sciencesStatistics - Applicationssymbols.namesakeFOS: Electrical engineering electronic engineering information engineeringApplications (stat.AP)Computers in Earth SciencesGaussian processHyMap021101 geological & geomatics engineering0105 earth and related environmental sciencesEarth-Surface ProcessesRemote sensingGlobal and Planetary ChangeImage and Video Processing (eess.IV)Hyperspectral imagingRegression analysisVegetationSpectral bands15. Life on landElectrical Engineering and Systems Science - Image and Video ProcessingRegressionGeographyGround-penetrating radarsymbolsInternational Journal of Applied Earth Observation and Geoinformation
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Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations

2019

Abstract Satellite remote sensing has been widely used in the last decades for agricultural applications, both for assessing vegetation condition and for subsequent yield prediction. Existing remote sensing-based methods to estimate gross primary productivity (GPP), which is an important variable to indicate crop photosynthetic function and stress, typically rely on empirical or semi-empirical approaches, which tend to over-simplify photosynthetic mechanisms. In this work, we take advantage of all parallel developments in mechanistic photosynthesis modeling and satellite data availability for an advanced monitoring of crop productivity. In particular, we combine process-based modeling with …

FOS: Computer and information sciencesLandsat 8Earth observation010504 meteorology & atmospheric sciencesComputer Vision and Pattern Recognition (cs.CV)0208 environmental biotechnologyComputer Science - Computer Vision and Pattern RecognitionSoil Science02 engineering and technologyGross primary productivity (GPP)Sentinel-2 (S2)Machine learningcomputer.software_genre01 natural sciencesRadiative transfer modeling (RTM)Atmospheric radiative transfer codesSoil-canopy-observation of photosynthesis and the energy balance (SCOPE)Computers in Earth SciencesC3 crops0105 earth and related environmental sciencesRemote sensing2. Zero hungerArtificial neural networkbusiness.industryEmpirical modellingNeural networks (NN)GeologyVegetationMachine learning (ML)15. Life on landHybrid approach22/4 OA procedure020801 environmental engineeringVariable (computer science)ITC-ISI-JOURNAL-ARTICLEEnvironmental scienceSatelliteArtificial intelligenceScale (map)businesscomputerRemote sensing of environment
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Remote sensing and climate data as a key for understanding fasciolosis transmission in the Andes: review and update of an ongoing interdisciplinary p…

2006

Fasciolosis caused by Fasciola hepatica in various South American countries located on the slopes of the Andes has been recognized as an important public health problem. However, the importance of this zoonotic hepatic parasite was neglected until the last decade. Countries such as Peru and Bolivia are considered to be hyperendemic areas for human and animal fasciolosis, and other countries such as Chile, Ecuador, Colombia and Venezuela are also affected. At the beginning of the 1990s a multidisciplinary project was launched with the aim to shed light on the problems related to this parasitic disease in the Northern Bolivian Altiplano. A few years later, a geographic information system (GIS…

FascioliasisHealth (social science)Geographic information systemAdvanced very-high-resolution radiometerGeography Planning and DevelopmentMedicine (miscellaneous)lcsh:G1-922Risk Assessmentfasciolosis geographic information system climatic forecast indices remote sensing data Andes.Normalized Difference Vegetation IndexTropical climatemedicineAnimalsHumansFasciolosisRemote sensinggeographyTropical Climategeography.geographical_feature_categorybusiness.industryHealth PolicyFasciola hepaticaSouth Americamedicine.diseaseRemote sensing (archaeology)Epidemiological MonitoringGeographic Information SystemsInterdisciplinary CommunicationEpidemiological MonitoringbusinessMountain rangelcsh:Geography (General)Environmental MonitoringProgram EvaluationGeospatial Health
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Impact of climate change and man-made irrigation systems on the transmission risk, long-term trend and seasonality of human and animal fascioliasis i…

2014

Large areas of the province of Punjab, Pakistan are endemic for fascioliasis, resulting in high economic losses due to livestock infection but also affecting humans directly. The prevalence in livestock varies pronouncedly in space and time (1-70%). Climatic factors influencing fascioliasis presence and potential spread were analysed based on data from five mete- orological stations during 1990-2010. Variables such as wet days (Mt), water-budget-based system (Wb-bs) indices and the normalized difference vegetation index (NDVI), were obtained and correlated with geographical distribution, seasonality patterns and the two-decade evolution of fascioliasis in livestock throughout the province. …

FascioliasisVeterinary medicineIrrigationLivestockHealth (social science)Climate ChangeFasciola giganticaGeography Planning and Developmentlcsh:G1-922Medicine (miscellaneous)Climate changeDistribution (economics)Normalized Difference Vegetation IndexRisk Factorsparasitic diseasesPrevalencemedicineAnimalsHumansPakistanbiologybusiness.industryHealth PolicyAgriculturefascioliasis Fasciola hepatica Fasciola gigantica livestock humans climatic data forecast indices normalized difference vegetation index climate change Pakistan.Fasciola hepaticaSeasonalitymedicine.diseasebiology.organism_classificationFasciolaGeographyAgricultureLivestockSeasonsbusinesslcsh:Geography (General)Geospatial health
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Replacing radiative transfer models by surrogate approximations through machine learning

2015

Physically-based radiative transfer models (RTMs) help in understanding the processes occurring on the Earth's surface and their interactions with vegetation and atmosphere. However, advanced RTMs can take a long computational time, which makes them unfeasible in many real applications. To overcome this problem, it has been proposed to substitute RTMs through so-called emulators. Emulators are statistical models that approximate the functioning of RTMs. They are advantageous in real practice because of the computational efficiency and excellent accuracy and flexibility for extrapolation. We here present an ‘Emulator toolbox’ that enables analyzing three multi-output machine learning regress…

Flexibility (engineering)Atmosphere (unit)Computer sciencebusiness.industryExtrapolationStatistical modelVegetationMachine learningcomputer.software_genreAtmosphereComputational learning theoryRadiative transferArtificial intelligencebusinesscomputer2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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An improved perspective in the representation of soil moisture: potential added value of SMOS disaggregated 1 km resolution product

2018

Abstract. This study uses the synergy of multiresolution soil moisture (SM) satellite estimates from the Soil Moisture Ocean Salinity (SMOS) mission, a dense network of ground-based SM measurements, and a Soil Vegetation Atmosphere Transfer (SVAT) model, SURFEX (Externalized Surface) – module ISBA (Interactions between Soil-Biosphere-Atmosphere), to examine, i) the comparison and suitability of different operational SMOS SM products to provide realistic information on the water content of the soil as well as the added value of the newly released SMOS Level 4 3.0 all weather disaggregated ~ 1 km SM (SMOS_L4 3.0 ), and ii) its potential impact for improving uncertainty associated to SM initia…

Flood forecastingSpatial ecologyEnvironmental scienceInitializationSatelliteSpatial variabilityVegetationScale (map)Atmospheric sciencesWater content
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Contribution to the knowledge of flora and vegetation of Krissi islet (Crete,SE Mediterranean sea)

2000

The results of a floristic and vegetational investigation on the Aegean islet of Krissi are presented. Its vascular flora numbers 172 taxa (species, subspecies and hybrids), 92 of which are new records. A species new to science, Limonium chrissianum, is described and illustrated and two new combinations, Limonium roridum and Teucrium dumulosum, are proposed. Furthermore, an iconography of the fruited Bupleurum gaudianum, a rare endemic known up to now only from the islet of Gaudos is provided. The phytosociological analysis identifies 8 associations, including relevés of maquis, phrygana, salt marshes, psammophilous and rupicolous vegetation. The observed association, six of which are here …

Flora vegetation Khrissi Crete
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Plant hunting: exploring the behaviour of amateur botanists in the field

2021

We asked what are the behavioural and logistic preferences of professional and amateur botanists when exploring flora in the field. We extracted temporal and spatial data on vas- cular plant species occurrences from three datasets of Sicilian flora: a subset of iNaturalist, a dataset collected by a Facebook group focused on the flora of Sicily and a subset of the professional database European Vegetation Archive. We used the time span of individual contributor’s activity as a proxy of their commitment to collecting information about the flora of Sicily. Climate and landscape data were used to better characterize the spatial and temporal activity of data contributors. Finally, we assessed wh…

FloraEcologyBiodiversityParticipatory monitoringVegetationDigital platforms EVA Facebook iNaturalist Landscape analysis Sicilylanguage.human_languageDigital platforms EVA Facebook iNaturalist Landscape analysis SicilyGeographySettore BIO/03 - Botanica Ambientale E ApplicatalanguageEthnologySocial mediaSpatial analysisSicilianAmateurEcology Evolution Behavior and SystematicsNature and Landscape Conservation
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Caucalido platycarpi-Vicietum michauxii — a new weed association from crop fields of Kyrgyzstan (Middle Asia)

2014

Abstract The study presents the results of geobotanical investigations conducted in crop fields in the western Tian Shan Mts in Kyrgyzstan (Middle Asia). The main research focused on classification of weed communities developing within this poorly investigated area, were conducted in the vicinity of Bishkek and Kara-Balta in 2010. Altogether, 299 phytosociological relevés were sampled using the Braun-Blanquet method. Based on all segetal vegetation patches, the analyses distinguished a new association: Caucalido platycarpi-Vicietum michauxii. The results of these phytosociological studies fill a gap in the knowledge about the syntaxonomical diversity of the Middle Asia region, which is one …

FloraGeneral Immunology and MicrobiologyQH301-705.5EcologyGeneral NeuroscienceMiddle asiaSpecies diversityVegetationsegetal communitiesBiologyGeneral Biochemistry Genetics and Molecular BiologyCropTian-ShanTurgenio-RoemerietaliaHabitatvegetation ecologyphytocoenosesagrocoenosesSpecies richnessBiology (General)General Agricultural and Biological SciencesWeedOpen Life Sciences
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