Search results for "land cover change"

showing 7 items of 7 documents

Holocene land-cover reconstructions for studies on land cover-climate feedbacks

2010

The major objectives of this paper are: (1) to review the pros and cons of the scenarios of past anthropogenic land cover change (ALCC) developed during the last ten years, (2) to discuss issues related to pollen-based reconstruction of the past land-cover and introduce a new method, REVEALS (Regional Estimates of VEgetation Abundance from Large Sites), to infer long-term records of past land-cover from pollen data, (3) to present a new project (LANDCLIM: LAND cover – CLIMate interactions in NW Europe during the Holocene) currently underway, and show preliminary results of REVEALS reconstructions of the regional land-cover in the Czech Republic for five selected time windows of the Holocene…

010504 meteorology & atmospheric sciencesStratigraphyREGIONAL VEGETATION01 natural sciencesAgricultural landAbundance (ecology)ddc:551new project LANDCLIMddc:550land-cover changelcsh:TD169-171.8GLACIAL-MAXIMUMHolocenelcsh:Environmental scienceslcsh:GE1-350ClimatologyGlobal and Planetary ChangeSOUTHERN SWEDENGeologyLast Glacial MaximumVegetation[SHS.GEO]Humanities and Social Sciences/GeographyPOLLEN-REPRESENTATIONClimatologyLANDCLIMlcsh:TD172-193.5GeologiTerrestrial ecosystemCARBON-CYCLEland cover-climate feedbacks010506 paleontology117 Geography Environmental scienceslcsh:Environmental protectioneducationAnnan geovetenskap och miljövetenskapLand coverLand cover changelcsh:Environmental pollutionREVEALSSIMULATION APPROACH0105 earth and related environmental sciencesEUROPEAN CLIMATEHolocenePaleontology15. Life on landQUANTITATIVE RECONSTRUCTIONPAST VEGETATIONNW EuropeTERRESTRIAL ECOSYSTEMSEarth sciences13. Climate actionPaleoecologyOther Earth and Related Environmental Sciences
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Radiometric correction effects in Landsat multi‐date/multi‐sensor change detection studies

2006

Radiometric corrections serve to remove the effects that alter the spectral characteristics of land features, except for actual changes in ground target, becoming mandatory in multi‐sensor, multi‐date studies. In this paper, we evaluate the effects of two types of radiometric correction methods (absolute and relative) for the determination of land cover changes, using Landsat TM and Landsat ETM+ images. In addition, we present an improvement made to the relative correction method addressed. Absolute correction includes a cross‐calibration between TM and ETM+ images, and the application of an atmospheric correction protocol. Relative correction normalizes the images using pseudo‐invariant fe…

Oceanografía Hidrología Recursos HídricosRadiometric correctionRadiometric correctionLand cover changeCiencias de la Tierra y relacionadas con el Medio AmbienteMulti sensorGeographyThematic MapperLandsat TMGeneral Earth and Planetary Sciencespseudo‐invariant featuresCIENCIAS NATURALES Y EXACTASChange detectionRemote sensingInternational Journal of Remote Sensing
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Analysis, assessment and quantification of the climate changes impact: the resilience silvicultural indicators

2017

Sicilian forests can be considered at high decay risk because of more and more frequent wildfires and, even more, because of climate change effects, like floods, draught, heat waves, snow and wind storms. They are worrying processes, contributing at making ecosystems weaker and intensifying the potential desertification risk in Sicily, one of the most threatened of Italian regions by this form of soil degradation. The most effective approach to mitigate the effects of the climate change has been developed through the following action: analysis, assessment and quantification of the climate change impact: the silvicoltural resilience indicators.

Settore AGR/05 - Assestamento Forestale E Selvicolturaresilience silvicultural indicators land use/land cover changes
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Impact of Land Cover Change Induced by a Fire Event on the Surface Energy Fluxes Derived from Remote Sensing

2015

Forest fires affect the natural cycle of the vegetation, and the structure and functioning of ecosystems. As a consequence of defoliation and vegetation mortality, surface energy flux patterns can suffer variations. Remote sensing techniques together with surface energy balance modeling offer the opportunity to explore these changes. In this paper we focus on a Mediterranean forest ecosystem. A fire event occurred in 2001 in Almodovar del Pinar (Spain) affecting a pine and shrub area. A two-source energy balance approach was applied to a set of Landsat 5-TM and Landsat 7-EMT+ images to estimate the surface fluxes in the area. Three post-fire periods were analyzed, six, seven, nine, and 11 y…

Surface Energy FluxesMediterranean climateland cover changeEvapotranspirationved/biologyScienceQved/biology.organism_classification_rank.speciesevapotranspirationEnergy balanceVegetationLand coverAlbedoShrubsurface energy fluxes; forest fire; land cover change; Landsat; evapotranspirationEvapotranspirationForest ecologyGeneral Earth and Planetary SciencesEnvironmental scienceForest FireLand Cover ChangeLandsatsurface energy fluxesforest fireRemote sensingRemote Sensing
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Application of LSTM architectures for next frame forecasting in Sentinel-1 images time series

2020

L'analyse prédictive permet d'estimer les tendances des évènements futurs. De nos jours, les algorithmes Deep Learning permettent de faire de bonnes prédictions. Cependant, pour chaque type de problème donné, il est nécessaire de choisir l'architecture optimale. Dans cet article, les modèles Stack-LSTM, CNN-LSTM et ConvLSTM sont appliqués à une série temporelle d'images radar sentinel-1, le but étant de prédire la prochaine occurrence dans une séquence. Les résultats expérimentaux évalués à l'aide des indicateurs de performance tels que le RMSE et le MAE, le temps de traitement et l'index de similarité SSIM, montrent que chacune des trois architectures peut produire de bons résultats en fon…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]FOS: Computer and information sciencesApprentissage profondComputer Science - Machine LearningImage and Video Processing (eess.IV)[INFO.INFO-NE] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]PrévisionComputer Science - Neural and Evolutionary ComputingDeep Learning AlgorithmsPrédiction[INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]Electrical Engineering and Systems Science - Image and Video ProcessingLand cover change[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Machine Learning (cs.LG)SARIMA[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]FOS: Electrical engineering electronic engineering information engineeringSatellite imagesNeural and Evolutionary Computing (cs.NE)LSTMPredictionForecastingImages satellitaires
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Anthropogenic Influences in Land Use/Land Cover Changes in Mediterranean Forest Landscapes in Sicily

2016

This paper analyzes and quantifies the land use/land cover changes of the main forest and semi-natural landscape types in Sicily between 1955 and 2012. We analyzed seven representative forest and shrubland landscapes in Sicily. These study areas were chosen for their importance in the Sicilian forest panorama. We carried out a diachronic survey on historical and current aerial photos; all the aerial images used to survey the land use/land cover changes were digitalized and georeferenced in the UTM WGS84 system. In order to classify land use, the Regional Forest Inventory 2010 legend was adopted for the more recent images, and the CORINE Land Cover III level used for the older, lower resolut…

climate changesSettore AGR/05 - Assestamento Forestale E Selvicoltura010504 meteorology & atmospheric sciencesClimate changesocioeconomic factorsLand cover010501 environmental sciences01 natural sciencesShrublandlcsh:AgricultureRegional planninglandscape dynamiclandscape dynamicsland use/land cover changes; landscape dynamics; climate changes; human-dominated landscape; socioeconomic factors; forest management modelshuman-dominated landscape0105 earth and related environmental sciencesNature and Landscape ConservationGlobal and Planetary ChangegeographyForest inventorygeography.geographical_feature_categoryEcologyLand usebusiness.industryEcologysocioeconomic factorlcsh:Sland use/land cover changeForestryland use/land cover changeslanguage.human_languageforest management modelsclimate changelanguageLand developmentbusinessSicilianLand
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Estimating Human Impacts on Soil Erosion Considering Different Hillslope Inclinations and Land Uses in the Coastal Region of Syria

2020

Soils in the coastal region of Syria (CRoS) are one of the most fragile components of natural ecosystems. However, they are adversely affected by water erosion processes after extreme land cover modifications such as wildfires or intensive agricultural activities. The main goal of this research was to clarify the dynamic interaction between erosion processes and different ecosystem components (inclination, land cover/land use, and rainy storms) along with the vulnerable territory of the CRoS. Experiments were carried out in five different locations using a total of 15 erosion plots. Soil loss and runoff were quantified in each experimental plot, considering different inclinations and land u…

lcsh:TD201-500soil erosionlcsh:Hydraulic engineeringlcsh:Water supply for domestic and industrial purposesSyriahillslopeslcsh:TC1-978soil managementland cover changesWater
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