Search results for "cloudiness"

showing 4 items of 4 documents

Critical analysis of the thermal inertia approach to map soil water content under sparse vegetation and changeable sky conditions

2012

The paper reports a critical analysis of the thermal inertia approach to map surface soil water content on bare and sparsely vegetated soils by means of remotely sensed data. The study area is an experimental area located in Barrax (Spain). Field data were acquired within the Barrax 2011 research project. AHS airborne images including VIS/NIR and TIR bands were acquired both day and night time by the INTA (Instituto Nacional de Tecnica Aeroespacial) between the 11 th and 13 rd of June 2011. Images cover a corn pivot surrounded by bare soil, where a set of in situ data have been collected previously and simultaneously to overpasses. To validate remotely sensed estimations, a preliminary prox…

Cloud coverSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaThermal inertia soil water content sparse vegetation cloudinessVegetationGeographySpectroradiometerSoil waterSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliShortwave radiationTransectSurface waterWater contentSettore ICAR/06 - Topografia E CartografiaRemote sensingSPIE Proceedings
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Combining fuzzy C-mean and normalized convolution for cloud detection in IR images

2009

An important task for the cloud monitoring in several frameworks is providing maps of the cloud coverage. In this paper we present a method to detect cloudy pixels for images taken from ground by an infra-red camera. The method is a three-steps algorithm mainly based on a Fuzzy C-Mean clustering, that works on a feature space derived from the original image and the output of the reconstructed image obtained via normalized convolution. Experiments, run on several infra-red images acquired under different conditions, show that the cloud maps returned are satisfactory. © 2009 Springer Berlin Heidelberg.

Infra-red imagePixelSettore INF/01 - InformaticaComputer sciencebusiness.industryFeature vectorFuzzy setComputer Science (all)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCloud computingFuzzy logicImage (mathematics)Theoretical Computer ScienceNormalized convolutionComputer Science::Computer Vision and Pattern RecognitionFuzzy setComputer visionCloudiness maskArtificial intelligenceCluster analysisbusinessAstrophysics::Galaxy Astrophysics
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Analysis of cloudiness and solar radiation diurnal cycles for a better understanding of the forests greenness mean annual cycle in Central Africa.

2016

To better understand the Central Africa forests sensitivity toclimate variability, we jointly analyse the mean annual cycles of greenness, rainfall, cloudiness and solarradiation for the target region 0-5°N/12-19°E using high resolution satellite data. Our results demonstrate theimportance of the diurnal scale for understanding the mean annual cycles of rainfall, cloudiness and solarradiation and the way they shape those of forest greenness. They also suggest that whereas the March-Mayrainy season appears optimal for greenness especially because of favorable light conditions, water availabilityis the main controlling factor in December-January the main dry season and in February at the star…

forests[ SDV.BV ] Life Sciences [q-bio]/Vegetal BiologyAfrique CentraleCentral Africacycles diurnessolar radiationcloudinessforêtsradiation solaire[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology[SDV.BV]Life Sciences [q-bio]/Vegetal Biologynébulosité[SDV.BV] Life Sciences [q-bio]/Vegetal Biologydiurnal cycles[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/Climatology
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Mapping soil water content under sparse vegetation and changeable sky conditions: comparison of two thermal inertia approaches

2013

A critical analysis of a thermal inertia approach to map surface soil water content on bare and sparsely vegetated soils by means of remotely sensed data is reported. The study area is an experimental field located in Barrax, Spain. In situ data were acquired within the Barrax 2011 research project. An advanced hyperspectral scanner airborne imager provides images in the visible/near-infrared and thermal infrared bands. Images were acquired both in day and night times by the Instituto Nacional de Técnica Aeroespacial between 12th and 13th of June 2011. The scene covers a corn irrigation pivot surrounded by bare soil, where a set of in situ data have been collected both previously and simult…

sparse vegetationCloud covermedia_common.quotation_subjectSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaHyperspectral imagingcloudiness.soil water contentVegetationthermal inertiaSoil thermal propertiesSkySoil waterThermographyGeneral Earth and Planetary SciencesEnvironmental scienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliWater contentSettore ICAR/06 - Topografia E Cartografiamedia_commonRemote sensing
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