Search results for "DIFFERENCE VEGETATION INDEX"

showing 10 items of 141 documents

Analysis of the linkages between rainfall and land surface conditions in the West African monsoon through CMAP, ERS-WSC, and NOAA-AVHRR data

2005

International audience; The European Remote Sensing Wind Scatterometer (ERS-WSC) backscattering coefficient, NOAA Advanced Very High Resolution Radiometer (NOAA-AVHRR) Normalized Difference Vegetation Index (NDVI), and Climate Prediction Center Merged Analysis Precipitation ( CMAP) precipitation data sets are studied over the period August 1991 to December 2000 to document ( 1) the interannual and intra-annual evolutions of vegetation photosynthetic activity and soil-vegetation water content over West Africa and ( 2) their two-way links with precipitation. Over the Sahel, at interannual timescales the strongest relationships between vegetation, soil moisture, and precipitation are observed …

DYNAMICSAtmospheric Science010504 meteorology & atmospheric sciencesAdvanced very-high-resolution radiometerDIFFERENCE VEGETATION INDEX0211 other engineering and technologiesSoil ScienceTIME-SERIES02 engineering and technologyWIND SCATTEROMETER DATAAquatic ScienceOceanographyMonsoonSOIL-MOISTURE01 natural sciencesNormalized Difference Vegetation Index[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsGeochemistry and PetrologyCIRCULATIONSEarth and Planetary Sciences (miscellaneous)[ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces environmentPrecipitation[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentWater contentTEMPERATURE021101 geological & geomatics engineering0105 earth and related environmental sciencesEarth-Surface ProcessesWater Science and TechnologyEcologyMoisturePaleontologyForestry15. Life on landScatterometerVARIABILITYGeophysics13. Climate actionSpace and Planetary ScienceClimatologyPRECIPITATIONSoil waterEnvironmental scienceSAHEL RAINFALL
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Integration of high and low resolution NDVI data for monitoring vegetation in Mediterranean environments

1998

Abstract The integration of the useful features of high and low spatial and temporal resolution satellite data is a major issue in remote sensing studies. The current work presents the development and testing of a procedure based on classification and regression analysis techniques for generating an NDVI data set with the spatial resolution of Landsat TM images and the temporal resolution of NOAA AVHRR maximum-value composites. The procedure begins with a classification of the high resolution TM data which yields land use references. These are degraded to low spatial resolution in order to produce abundance images comparable with the AVHRR data. Linear regressions are then applied between t…

Data setMultivariate statisticsFuzzy classificationTemporal resolutionSoil ScienceEnvironmental scienceGeologyRegression analysisComputers in Earth SciencesImage resolutionMultispectral ScannerNormalized Difference Vegetation IndexRemote sensing
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Trend Analysis Using Discrete Wavelet Transform (DWT) for Non-stationary NDVI Time Series in Tunisia

2021

In this paper, the trends in non-stationary Normalized Difference Vegetation Index (NDVI) Time Series (TS) over different areas in Tunisia are analyzed by applying wavelet transform and statistical tests. In the first step, the Discrete Wavelet Transform (DWT) was applied on three different time series in order to detect changes. Therefore, the different parameters of DWT were tested. In fact, the level of decomposition was calculated. The Maximum Energy to Shannon Entropy Ratio Criterion (MEER) was then investigated to choose the more suitable mother wavelet. Finally, the Mann-Kendall test (MK) was calculated for the last approximation of components to identify the variation in trend. In f…

Discrete wavelet transformTrend analysisWaveletSeries (mathematics)StatisticsWavelet transformNormalized Difference Vegetation IndexEnergy (signal processing)MathematicsStatistical hypothesis testing
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Vegetation Types Mapping Using Multi-Temporal Landsat Images in the Google Earth Engine Platform

2021

Vegetation Types (VTs) are important managerial units, and their identification serves as essential tools for the conservation of land covers. Despite a long history of Earth observation applications to assess and monitor land covers, the quantitative detection of sparse VTs remains problematic, especially in arid and semiarid areas. This research aimed to identify appropriate multi-temporal datasets to improve the accuracy of VTs classification in a heterogeneous landscape in Central Zagros, Iran. To do so, first the Normalized Difference Vegetation Index (NDVI) temporal profile of each VT was identified in the study area for the period of 2018, 2019, and 2020. This data revealed strong se…

Earth observation010504 meteorology & atmospheric sciencesComputer scienceNDVIScienceQvegetation types classification04 agricultural and veterinary sciences15. Life on landTime optimal01 natural sciencesNormalized Difference Vegetation IndexRandom forestIdentification (information)Vegetation typesmachine learning040103 agronomy & agriculturevegetation types classification; multi-temporal images; machine learning; Google Earth Engine; NDVI0401 agriculture forestry and fisheriesGeneral Earth and Planetary SciencesGoogle Earth EngineCartographymulti-temporal images0105 earth and related environmental sciencesRemote Sensing
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Relationships between climatic parameters and forest vegetation: application to burned area in Alicante (Spain)

2000

Abstract The main aims of this study is to examine the variability of normalized difference vegetation index (NDVI) on forest vegetation in Alicante (Spain) between 1984 and 1994 and to analyse the influence of climatic parameters in the regeneration of forest areas burned by fires. The zone of study is located between XUTM (m) 730400-760400 and YUTM (m) 4274000-4304000 and is characterised by a great topographic complexity that leads to diverse microclimatic conditions. In this area, the maximum annual rainfall of the Valencian Community is recorded, reaching 850 mm of average annual rainfall ( Belda, 1997 ). We examined the spatial and temporal analyse of rainfall and soil moisture over t…

EcologyMicroclimateForestryEnhanced vegetation indexVegetationManagement Monitoring Policy and LawNormalized Difference Vegetation IndexThematic MapperSoil waterEnvironmental scienceSpatial variabilityPhysical geographyPrecipitationNature and Landscape ConservationForest Ecology and Management
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Comparison Between Fractional Vegetation Cover Retrievals from Vegetation Indices and Spectral Mixture Analysis: Case Study of PROBA/CHRIS Data Over …

2009

Abstract: In this paper we compare two different methodologies for Fractional Vegetation Cover (FVC) retrieval from Compact High Resolution Imaging Spectrometer (CHRIS) data onboard the European Space Agency (ESA) Project for On-Board Autonomy (PROBA) platform. The first methodology is based on empirical approaches using Vegetation Indices (VIs), in particular the Normalized Difference Vegetation Index (NDVI) and the Variable Atmospherically Resistant Index (VARI). The second methodology is based on the Spectral Mixture Analysis (SMA) technique, in which a Linear Spectral Unmixing model has been considered in order to retrieve the abundance of the different constituent materials within pixe…

Endmember010504 meteorology & atmospheric sciencesMean squared error0211 other engineering and technologies550 - Earth sciences02 engineering and technologyLand coverlcsh:Chemical technology01 natural sciencesBiochemistryNormalized Difference Vegetation IndexArticleCHRISAnalytical ChemistryRoot mean squareFractional Vegetation Cover; Vegetation Indices; Spectral Mixture Analysis; PROBA; CHRISPROBAlcsh:TP1-1185Electrical and Electronic EngineeringInstrumentation021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensingFractional Vegetation CoverPixelVegetation15. Life on landAtomic and Molecular Physics and OpticsStandard errorSpectral Mixture AnalysisVegetation Indices
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Assessing the performance of GIS- based machine learning models with different accuracy measures for determining susceptibility to gully erosion

2019

Assessing the performance of GIS- based machine learning models withdifferent accuracy measures for determining susceptibility togully erosionYounes Garosia, Mohsen Sheklabadia,⁎, Christian Conoscentib, Hamid Reza Pourghasemic,d, Kristof Van Ooste,faFaculty of Agriculture, Department of Soil Science, Bu Ali Sina University, Ahmadi Roshan Avenue, 6517838695 Hamedan, IranbDepartment of Earth and Sea Sciences (DISTEM), University of Palermo, Via Archirafi22, 90123 Palermo, ItalycCollege of Marine Sciences and Engineering, Nanjing Normal University, Nanjing, 210023, ChinadDepartment of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz, IraneA- Fo…

Environmental Engineering010504 meteorology & atmospheric sciencesMean squared errorSettore GEO/04 - Geografia Fisica E Geomorfologia010501 environmental sciencesMachine learningcomputer.software_genre01 natural sciencesNormalized Difference Vegetation IndexCohen's kappaMachine learning modelDiscriminationEnvironmental ChemistryGully erosion susceptibilityDigital elevation modelWaste Management and DisposalLatin hypercube sampling technique (cLHS)0105 earth and related environmental sciencesMathematicsReceiver operating characteristicbusiness.industryTopographic attributeGeneralized additive modelReliabilityPollutionRandom forestSupport vector machineArtificial intelligencebusinesscomputer
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The impact of soil erosion on soil fertility and vine vigor. A multidisciplinary approach based on field, laboratory and remote sensing approaches

2018

Soil erosion processes in vineyards, beyond surface runoff and sediment transport, have a strong effect on soil organic carbon (SOC) loss and redistribution along the slope. Variation in SOC across the landscape can determine differences in soil fertility and vine vigor. The goal of this research was to analyze the interactions among vines vigor, sediment delivery and SOC in a sloping vineyard located in Sicily. Six pedons were studied along the slope by digging 6 pits up to 60 cm depth. Soil was sampled every 10 cm and SOC, water extractable organic carbon (WEOC) and specific ultraviolet absorbance (SUVA) were analyzed. Erosion rates, detachment and deposition areas were measured by the po…

Environmental Engineering010504 meteorology & atmospheric sciencesSòls ErosióNDVI01 natural sciencesNormalized Difference Vegetation IndexDeposition (geology)Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliEnvironmental ChemistryCarbon stockWaste Management and Disposal0105 earth and related environmental sciencesRemote sensingViticultureSedimentfood and beverages04 agricultural and veterinary sciencesVegetationSoil carbonSpecific ultraviolet absorbancePollutionSettore AGR/02 - Agronomia E Coltivazioni ErbaceeSettore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeErosion040103 agronomy & agricultureErosion0401 agriculture forestry and fisheriesEnvironmental scienceSoil fertilitySurface runoff
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Phenology Estimation From Meteosat Second Generation Data

2013

Many studies have focused on land surface phenology, for example as a means to characterize both water and carbon cycles for climate model inputs. However, the Spinning Enhanced Visible Infra-Red Imager (SEVIRI) sensor onboard Meteosat Second Generation (MSG) geostationary satellite has never been used for this goal. Here, five years of MSG-SEVIRI data have been processed to retrieve Normalized Difference Vegetation Index (NDVI) daily time series. Due to existing gaps as well as atmospheric and cloud contamination in the time series, an algorithm based on the iterative Interpolation for Data Reconstruction (IDR) has been developed and applied to SEVIRI NDVI time series, from which phenologi…

EstimationAtmospheric ScienceMeteorologyPhenologyVegetationStability (probability)Normalized Difference Vegetation IndexTemporal resolutionGeostationary orbitRadiometryEnvironmental scienceClimate modelComputers in Earth SciencesScale (map)InterpolationRemote sensingIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Mapping evapotranspiration on vineyards: A comparison between Penman-Monteith and energy balance approaches for operational purposes

2012

Estimation of evapotranspiration (ET) in Sicilian vineyard is an emerging issue since these agricultural systems are more and more converted from rainfed to irrigated conditions, with significant impacts on the management of the scarce water resources of the region. The choice of the most appropriate methodology for assessing water use in these systems is still an issue of debating, due to the complexity of canopy and root systems and for their high spatial fragmentation. In vineyards, quality and quantity of the final product are dependent on the controlled stress conditions to be set trough irrigation. This paper reports an application of the well-known Penman-Monteith approach, applied i…

Evapotranspirationevapotranspiration vineyards Penman-Monteith energy balance leaf water potential.Multispectral imageSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaPenman-MonteithSpectral bandsEnergy balanceAlbedoLeaf water potentialVineyardsNormalized Difference Vegetation IndexGeographyEvapotranspirationSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliLeaf area indexPenman–Monteith equationImage resolutionSettore ICAR/06 - Topografia E CartografiaRemote sensing
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