Search results for "Topographic attribute"

showing 5 items of 5 documents

From glacial refugia to hydrological microrefugia: Factors and processes driving the persistence of the climate relict tree Zelkova sicula

2021

Abstract With only two tiny populations, the climate relict Zelkova sicula (Sicily, Italy) is one of the rarest trees in the world. It also represents the most marginal member of genus Zelkova that was widespread in the broadleaved forests thriving in warm–temperate climates throughout Eurasia until the Last Glacial Age. Occurring at the westernmost range of the genus under typical Mediterranean climate, the micro‐topographic settings have always appeared crucial for the survival of this relict. However, the factors and processes actually involved in its persistence in the current refugia, as well as the response of similar relict trees in arid environments, are poorly understood worldwide.…

0106 biological sciencesMediterranean climateRange (biology)marginal habitatsrear edge populations010603 evolutionary biology01 natural sciences03 medical and health scienceslcsh:QH540-549.5Glacial periodtopographic attribute analysesecological plasticityEcology Evolution Behavior and SystematicsZelkova siculaOriginal Research030304 developmental biologyNature and Landscape Conservation0303 health sciencesEcologybiologyResistance (ecology)ZelkovaEcologybiology.organism_classificationCenozoic relictsAridGeographyCenozoic relicts ecological plasticity marginal habitats rear edge populations soil moisture topographic attribute analysesSettore BIO/03 - Botanica Ambientale E ApplicataSpatial ecologylcsh:Ecologysoil moisture
researchProduct

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
researchProduct

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
researchProduct

Landslide analysis in the Iato river basin (north-western Sicily, Italy)

2006

Settore GEO/04 - Geografia Fisica E GeomorfologiaLandlside Hazard Model Topographic Attributes Iato River Basin Sicily ItalySettore GEO/05 - Geologia Applicata
researchProduct

Gis-analysis to assess landslide susceptibility in a fluvial basin of NW Sicily (Italy).

2008

Abstract Landslide hazard assessment, effected by means of geostatistical methods, is based on the analysis of the relationships between landslides and the spatial distributions of some instability factors. Frequently such analyses are based on landslide inventories in which each record represents the entire unstable area and is managed as a single instability landform. In this research, landslide susceptibility is evaluated through the study of a variety of instability landforms: landslides, scarps and areas uphill from crown . The instability factors selected were: bedrock lithology, steepness, topographic wetness index and stream power index. The instability landform densities computed f…

Topographic Wetness Indexgeographygeography.geographical_feature_categoryLandformTopographic attributeLandslide classificationBedrockSettore GEO/04 - Geografia Fisica E GeomorfologiaGIS-analysiFluvialLandslideInstability landformLandslide susceptibilitySlope stabilityGeomorphologySicilySettore GEO/05 - Geologia ApplicataGeologyStream powerEarth-Surface Processes
researchProduct