Search results for "DIFFERENCE VEGETATION INDEX"

showing 10 items of 141 documents

Forecasting the vegetation photosynthetic activity over the Sahel: a Model Output Statistics approach

2009

The predictability of the mean August–September photosynthetic activity of vegetation over the Sahel for the period 1982–2002 is explored through a Model Output Statistics approach using ECHAM4.5 retrospective forecasts. Given the poor ability of Atmospheric General Circulation Models (AGCMs) to correctly simulate rainfall over the Sahel, the stress is put on using atmospheric dynamics alone. The mean July–September predicted fields of zonal wind at 600 hPa, and humidity flux at 850 hPa, are selected because of their key role in the West African Monsoon system and their consistency in AGCMs. Coupled modes of NDVI/atmospheric dynamics are extracted using Canonical Correlation Analyses perfor…

Model output statisticsAtmospheric ScienceSea surface temperatureClimatologyEnvironmental scienceHindcastAtmospheric modelPredictabilityMonsoonAfrican easterly jetNormalized Difference Vegetation IndexInternational Journal of Climatology
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Comparison of differences in resolution and sources of controlling factors for gully erosion susceptibility mapping

2018

Abstract Gully erosion has been identified as an important soil degradation process and sediment source, especially in arid and semiarid areas. Thus, it is useful to identify the spatial occurrence of this form of water erosion in the landscape and the most vulnerable areas. In this study, we explored the effects of different pixel sizes on some controlling factors extracted from a digital elevation model and remote sensing data when producing a gully erosion susceptibility map (GESM) of Ekbatan Dam Basin, Hamadan, Iran. An inventory map of the gully landforms was prepared based on global positioning system routes of the gullies, extensive field surveys, and visual interpretations of satell…

Multivariate statisticsTopographic Wetness IndexRemote sensing data010504 meteorology & atmospheric sciencesPixelTopographic attributeSettore GEO/04 - Geografia Fisica E Geomorfologia0208 environmental biotechnologySoil Science02 engineering and technology01 natural sciencesNormalized Difference Vegetation Index020801 environmental engineeringData setGully erosionMachine learning modelSoil retrogression and degradationRobustneEnvironmental scienceDigital elevation model0105 earth and related environmental sciencesRemote sensingStatistical hypothesis testingGeoderma
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Estudio crítico de los índices de severidad y la superficie afectada por el incendio de Sierra de Luna (Zaragoza)

2017

[EN] To determine the area burned by fire and its associated severity related to this forest fire taken place in Sierra de Luna (Zaragoza), on July 4th, 2015, three spectral indices derived from Landsat-8 imagery have been calculated: NDVI, NBR and BAI. Comparing the results obtained from each of them, in a wildland fire with extensive crop areas surrounded by forested areas, it has been demonstrated that combination of ΔNBR and BAI substantially improves the calculation of the burned area, concerning both in its external perimeter and in the unburned zones inside of the perimeter. For severity calculation is proposed a new methodology based on before and after NBR differences and its BAI c…

NDVIBAIGeography Planning and Developmentlcsh:G1-922ForestrySeveridadNormalized Difference Vegetation IndexSeverityPerimeterNBREarth and Planetary Sciences (miscellaneous)Environmental scienceLandsatlcsh:Geography (General)
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Intraspecific Differences in Spectral Reflectance Curves as Indicators of Reduced Vitality in High-Arctic Plants

2017

Remote sensing is a suitable candidate for monitoring rapid changes in Polar regions, offering high-resolution spectral, spatial and radiometric data. This paper focuses on the spectral properties of dominant plant species acquired during the first week of August 2015. Twenty-eight plots were selected, which could easily be identified in the field as well as on RapidEye satellite imagery. Spectral measurements of individual species were acquired, and heavy metal contamination stress factors were measured contemporaneously. As a result, a unique spectral library of dominant plant species, heavy metal concentrations and damage ratios were achieved with an indication that species-specific chan…

Optical sampling<em>Dryas octopetala</em>010504 meteorology & atmospheric sciencesScienceDryas octopetala:Zoology and botany: 480 [VDP]0211 other engineering and technologiesRed edge02 engineering and technologyAtmospheric sciences01 natural sciencesCassiope tetragonaNormalized Difference Vegetation IndexSvalbard<em>Cassiope tetragona</em>Cassiope tetragonaSatellite imagerySalix polaris<em> Salix polaris</em>Arctic vegetationDryas octopetalaRapidEye:Zoologiske og botaniske fag: 480 [VDP]Tundra021101 geological & geomatics engineering0105 earth and related environmental sciencesbiologySpectrometryQRed edgebiology.organism_classificationSalix polarisTundravegetation indicesBistorta viviparaGeneral Earth and Planetary SciencesEnvironmental science<em>Bistorta vivipara</em>Remote Sensing
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Global vegetation monitoring through multitemporal analysis of pathfinder AVHRR land database

2005

We have applied a Land Surface Temperature algorithm to the whole Pathfinder AVHRR Land (PAL) database, aiming at studying the evolution of the vegetation at a global scale. The Land Surface Temperature parameter, along with NDVI, will allow retrieving vegetation changes between July 1981 and September 2001. We have also built a classification which takes into account both vegetation variations and thermal patterns, from NDVI and Air Temperature at 2 meters height data. This classification allows differentiating areas which present close vegetation changes throughout the year, but totally different climates, as for example in mountainous and semiarid regions. The main quality of this classi…

PathfinderLand surface temperatureDatabaseClimatologyNorthern HemisphereEnvironmental scienceSatelliteVegetationLand coverScale (map)computer.software_genrecomputerNormalized Difference Vegetation IndexRemote Sensing for Agriculture, Ecosystems, and Hydrology VII
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NDVI seasonal amplitude and its variability

2008

NDVI (Normalized Difference Vegetation Index) is a remotely sensed index of vegetation greenness. Its yearly cycle gives information on vegetation type or health, and monitoring its temporal evolut...

Phenologymedia_common.quotation_subjectNormalized Difference Vegetation IndexAmplitudeDesertificationClimatologyVegetation typemedicineGeneral Earth and Planetary SciencesEnvironmental scienceVegetation Indexmedicine.symptomVegetation (pathology)Remote sensingmedia_commonInternational Journal of Remote Sensing
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2015

In this study we present a hyperspectral flying goniometer system, based on a rotary-wing unmanned aerial vehicle (UAV) equipped with a spectrometer mounted on an active gimbal. We show that this approach may be used to collect multiangular hyperspectral data over vegetated environments. The pointing and positioning accuracy are assessed using structure from motion and vary from σ = 1° to 8° in pointing and σ = 0.7 to 0.8 m in positioning. We use a wheat dataset to investigate the influence of angular effects on the NDVI, TCARI and REIP vegetation indices. Angular effects caused significant variations on the indices: NDVI = 0.83–0.95; TCARI = 0.04–0.116; REIP = 729–735 nm. Our analysis high…

PhysicsAtmospheric radiative transfer codesSpectrometerGoniometerNadirGeneral Earth and Planetary SciencesHyperspectral imagingStructure from motionGimbalNormalized Difference Vegetation IndexRemote sensingRemote Sensing
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Relation between reflectance of rice crop and indices of pollution by heavy metals in soils of albufera natural park (Valencia, Spain)

1993

13 páginas, 3 figuras, 4 tablas, 1 foto.

PollutionHydrologySoil testmedia_common.quotation_subjectGeneral EngineeringSoil contaminationNormalized Difference Vegetation IndexRice farming soilsContamination indexesCropMediterranean wetlandHeavy metalsThematic MapperEnvironmental chemistrySoil waterNDVIsEnvironmental sciencePoaceaemedia_commonSoil Technology
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Childhood intermittent and persistent rhinitis prevalence and climate and vegetation: a global ecologic analysis

2014

Abstract Background The effect of climate change and its effects on vegetation growth, and consequently on rhinitis, are uncertain. Objective To examine between- and within-country associations of climate measures and the normalized difference vegetation index with intermittent and persistent rhinitis symptoms in a global context. Methods Questionnaire data from 6- to 7-year-olds and 13- to 14-year-olds were collected in phase 3 of the International Study of Asthma and Allergies in Childhood. Associations of intermittent (>1 symptom report but not for 2 consecutive months) and persistent (symptoms for ≥2 consecutive months) rhinitis symptom prevalences with temperature, precipitation, vapor…

Pulmonary and Respiratory MedicineAllergyRhinitis Allergic PerennialAdolescentClimate ChangeImmunologyEczemaClimate changeContext (language use)Normalized Difference Vegetation IndexAdolescent; Asthma; Child; Eczema; Humans; Plants; Questionnaires; Rhinitis Allergic Perennial; Rhinitis Allergic Seasonal; Climate Change; Immunology and Allergy; Pulmonary and Respiratory Medicine; Medicine (all)Interquartile rangeSurveys and QuestionnairesmedicineHumansImmunology and AllergyChildAsthmaQuestionnairebusiness.industryMedicine (all)Rhinitis Allergic SeasonalRegression analysisPlantPlantsmedicine.diseaseAsthmaConfidence intervalbusinessHumanDemographyAnnals of Allergy, Asthma &amp; Immunology
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Timing and patterns of the ENSO signal in Africa over the last 30 years: insights from normalized difference vegetation index data.

2014

Abstract A more complete picture of the timing and patterns of the ENSO signal during the seasonal cycle for the whole of Africa over the three last decades is provided using the normalized difference vegetation index (NDVI). Indeed, NDVI has a higher spatial resolution and is more frequently updated than in situ climate databases, and highlights the impact of ENSO on vegetation dynamics as a combined result of ENSO on rainfall, solar radiation, and temperature. The month-by-month NDVI–Niño-3.4 correlation patterns evolve as follows. From July to September, negative correlations are observed over the Sahel, the Gulf of Guinea coast, and regions from the northern Democratic Republic of Congo…

RainfallSaisonAtmospheric ScienceEquatorhttp://aims.fao.org/aos/agrovoc/c_50098F62 - Physiologie végétale - Croissance et développementhttp://aims.fao.org/aos/agrovoc/c_6734http://aims.fao.org/aos/agrovoc/c_8516http://aims.fao.org/aos/agrovoc/c_7222http://aims.fao.org/aos/agrovoc/c_8038http://aims.fao.org/aos/agrovoc/c_6498http://aims.fao.org/aos/agrovoc/c_24199U10 - Informatique mathématiques et statistiquesIndice de surface foliairehttp://aims.fao.org/aos/agrovoc/c_165VegetationRemote sensing[ SDE.MCG ] Environmental Sciences/Global Changeshttp://aims.fao.org/aos/agrovoc/c_7657El Niño Southern OscillationGeography[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyClimatologyhttp://aims.fao.org/aos/agrovoc/c_6161P01 - Conservation de la nature et ressources foncières[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/Climatologyhttp://aims.fao.org/aos/agrovoc/c_7252http://aims.fao.org/aos/agrovoc/c_7497ENSOModèle mathématiquehttp://aims.fao.org/aos/agrovoc/c_8500http://aims.fao.org/aos/agrovoc/c_1671P40 - Météorologie et climatologieTélédétectionhttp://aims.fao.org/aos/agrovoc/c_29553[SDE.MCG]Environmental Sciences/Global ChangesNormalized Difference Vegetation Indexhttp://aims.fao.org/aos/agrovoc/c_35196Interannual variabilityhttp://aims.fao.org/aos/agrovoc/c_6911Donnée climatiquePrecipitationCombined resulthttp://aims.fao.org/aos/agrovoc/c_8176http://aims.fao.org/aos/agrovoc/c_2676PrécipitationWinter rainfallIntertropical Convergence ZoneVégétation15. Life on landTempérature13. Climate actionVegetation-atmosphere interactionsAfricaClimatologiehttp://aims.fao.org/aos/agrovoc/c_4964Énergie solaire
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