Search results for "forest"

showing 10 items of 3780 documents

FORMULATION OF LIME MORTARS BASED ON NATURAL FIBERS AND WASTE MATERIALS FOR MORE SUSTAINABLE BUILDINGS

2019

Nowadays sustainability is one of the main concept in building construction, both considering energy saving buildings and life cycle assessment of building materials. According to these considerations, in this work the use of recycled and waste materials to produce a binder and the use of a natural fiber as reinforcement are investigated to obtain a sustainable mortar. Particularly, lime is obtained by kilning waste marble slurry from marbles quarries in western Sicily; pozzolanic aggregate is obtained by grinding glass powder from urban waste collection; natural fibers come from a widespread grass: Ampelodesmos Mauritanicus also known as diss. Scanning electron microscopy and helium picnom…

Sustainable mortarsSettore ING-IND/22 - Scienza E Tecnologia Dei MaterialiSettore AGR/05 - Assestamento Forestale E SelvicolturaRecycled glaMarble slurryAmpelodesmos mauritanicuSettore GEO/05 - Geologia Applicata
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Potential effects of transgenic cotton on soil ecosystem processes in Vietnam.

2008

SymbiosisAgronomybiologySoil biodiversityAgroforestryTransgeneBacillus thuringiensisEnvironmental scienceEcosystemSoil classificationGenetically modified cropsbiology.organism_classificationSoil quality
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In Situ X-Ray Tomography Imaging of Soil Water and Cyanobacteria From Biological Soil Crusts Undergoing Desiccation

2018

Biological soil crusts (biocrusts) are millimeter-sized microbial communities developing on the topsoils of arid lands that cover some 12% of Earth’s continental area. Biocrusts consist of an assemblage of mineral soil particles consolidated into a crust by microbial organic polymeric substances that are mainly produced by the filamentous bundle-forming cyanobacteria, among which Microcoleus vaginatus is perhaps the most widespread. This cyanobacterium is the primary producer for, and main architect of biocrusts in many arid soils, sustaining the development of a diverse microbial community. Biocrusts are only active when wet, and spend most of their time in a state of desiccated quiescence…

Synchrotron X-ray microtomographylcsh:GE1-3500301 basic medicinedesiccation experimentMoistureMicrocoleus sp.Carbon fixation04 agricultural and veterinary sciencesbiocrustArid03 medical and health sciences030104 developmental biologyWater potentialMicrobial population biologywater dynamicsEnvironmental chemistrySoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceEPSDesiccationWater contentlcsh:Environmental sciencesGeneral Environmental ScienceFrontiers in Environmental Science
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A semi-empirical approach for surface soil water content estimation from radar data without a-priori information on surface roughness

2006

Abstract In this study, the spatial distribution of soil water content in an agricultural area of 30 km 2 in Southern Italy has been estimated by using high-resolution space-borne Synthetic Aperture Radar data. Multi-polarised SAR images acquired during the SIR-C mission in April 1994 have been analysed by using the semi-empirical surface backscattering model derived by Oh, Y., Sarabandi K., Ulaby F.T., 1992. An empirical model and an inversion technique for radar scattering from bare soil surface. IEEE Trans. Geosci. Remote Sensing, 30(2), 370381. A site-specific calibration procedure of the cited model has been proposed to derive soil dielectric constant values without a-priori informatio…

Synthetic aperture radarHydrological modellingRadar backscatteringSurface finishSoil water contentlaw.inventionlawSoil waterSurface roughnessSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliEnvironmental scienceSpatial variabilityHydrological modelRadarWater contentWater Science and TechnologyRemote sensingJournal of Hydrology
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Coupling SAR X-band and optical data for NDVI retrieval: model calibration and validation on two test areas

2013

Sustainability of modern agro-hydrology requires the knowledge of spatial and temporal variability of vegetation biomass to optimize management of land and water resources. Diversely from optical imaging, temporal resolution of active sensors, such as SAR, is not limited by sky cloudiness; thus, they may be combined with optical imageries to provide a more continuous monitoring of land surfaces. Several new SAR missions (e.g., ALOS-PALSAR, COSMO-SkyMed 1 and 2, TerraSAR-X, TerraSAR-X2, Sentinel 1) acquiring at X-, C- and L-bands and dual polarization capability, are characterized by a short revisit time (from 12 h to ~10 days) and high spatial resolution (<20 m). These satellites could prov…

Synthetic aperture radarL bandMeteorologyBackscatterCloud covermedia_common.quotation_subjectSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaContinuous monitoringRadar backscatteringNormalized Difference Vegetation IndexNDVI cross-polarized backscattering DEIMOS-1 COSMO-SkyMed Landsat 7 SCL-offGeographySkyTemporal resolutionSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSettore ICAR/06 - Topografia E Cartografiamedia_commonRemote sensingvegetation index
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Vegetation index retrieval by coupling optical and SAR images

2012

Monitoring spatial and temporal variability of Vegetation Indices (VIs) is important to manage land and water resources, with significant impact on the sustainability of modern agriculture Although algorithms based on optical data give accurate products, cloud cover dramatically reduces the temporal resolution of these outputs. The launch of new Synthetic Aperture Radar (SAR) constellations such as COSMO-Skymed opened new opportunities to develop agro-hydrological applications. Indeed, these satellites may represent a suitable source of data for operational applications due to their high spatial and temporal resolutions (10 m in StripMap PingPong acquisition mode, best revisit time with 4 s…

Synthetic aperture radarMeteorologyBackscatterCloud coverSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaX bandLand coverNormalized Difference Vegetation IndexGeographyTemporal resolutionSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliImage resolutionSettore ICAR/06 - Topografia E CartografiaRemote sensingNDVI crossed-polarized backscattering DEIMOS COSMO-Skymed
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Investigating the Relationship between X-Band SAR Data from COSMO-SkyMed Satellite and NDVI for LAI Detection

2013

Monitoring spatial and temporal variability of vegetation is important to manage land and water resources, with significant impact on the sustainability of modern agriculture. Cloud cover noticeably reduces the temporal resolution of retrievals based on optical data. COSMO-SkyMed (the new Italian Synthetic Aperture RADAR-SAR) opened new opportunities to develop agro-hydrological applications. Indeed, it represents a valuable source of data for operational use, due to the high spatial and temporal resolutions. Although X-band is not the most suitable to model agricultural and hydrological processes, an assessment of vegetation development can be achieved combing optical vegetation indices (V…

Synthetic aperture radarMeteorologyCOSMO-SkyMedCloud coverSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaX bandLand coverRadar backscatteringNormalized Difference Vegetation IndexLAIcross-polarized backscatteringTemporal resolutionDEIMOS-1General Earth and Planetary SciencesEnvironmental scienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliNormalized Difference Vegetation Index (NDVI)lcsh:QNormalized Difference Vegetation Index (NDVI); LAI; cross-polarized backscattering; DEIMOS-1; COSMO-SkyMedLeaf area indexlcsh:ScienceImage resolutionSettore ICAR/06 - Topografia E CartografiaRemote sensingRemote Sensing
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Time series of Cosmo-SkyMed data for landcover classification and surface parameter retrieval over agricultural sites

2012

This paper reports on the results of an Italian project aimed at investigating the use of X-band COSMO-SkyMed (CSK) SAR data for applications in agriculture and hydrology. Existing classification and retrieval algorithms have been tailored to CSK data and time series of crop, leaf area index and soil moisture maps have been retrieved and assessed through the comparison with in situ data collected over three agricultural sites. In addition, the CSK-derived surface parameters have been integrated into crop growth and hydrologic models and the resulting improvements have been assessed. Results indicate that multi-temporal dual-polarized CSK data are very well-suited for agricultural crop class…

Synthetic aperture radarSeries (mathematics)Contextual image classificationbusiness.industryCOSMO-SkyMedHydrological modellingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaVegetationCOSMO-SkyMed; SAR; X-bandHydrology (agriculture)AgricultureEnvironmental scienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSAR COSMO-SkyMed X-bandX-bandLeaf area indexbusinessSettore ICAR/06 - Topografia E CartografiaRemote sensingSAR
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Power sensitivity analysis of multi-frequency, multi-polarized, multi-temporal SAR data for soil-vegetation system variables characterization

2017

Abstract: The knowledge of spatial and temporal variability of soil water content and others soil-vegetation variables (leaf area index, fractional cover) assumes high importance in crop management. Where and when the cloudiness limits the use of optical and thermal remote sensing techniques, synthetic aperture radar (SAR) imagery has proven to have several advantages (cloud penetration, day/night acquisitions and high spatial resolution). However, measured backscattering is controlled by several factors including SAR configuration (acquisition geometry, frequency and polarization), and target dielectric and geometric properties. Thus, uncertainties arise about the more suitable configurati…

Synthetic aperture radarSpatial correlation010504 meteorology & atmospheric sciencesCloud coverScience0211 other engineering and technologies02 engineering and technologyBackscatteringSoil water content01 natural scienceslaw.inventionsensitivity analysislawSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestalibackscattering; soil water content; surface roughness; leaf area index; sensitivity analysisRadarLeaf area indexWater content021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingSurface roughneQSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaSoil watersurface roughnessLeaf area indexSensitivity analysiBackscattering; Leaf area index; Sensitivity analysis; Soil water content; Surface roughness; Earth and Planetary Sciences (all)General Earth and Planetary SciencesEnvironmental scienceSpatial variabilityEarth and Planetary Sciences (all)Settore ICAR/06 - Topografia E Cartografia
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Soil Erosion Induced by the Introduction of New Pasture Species in a Faxinal Farm of Southern Brazil

2018

The faxinal management system is an endangered agro-silvopastoral system which forms part of the local traditional management in the Paran&aacute; federal state (Brazil). Significant changes in land management since the 1970s caused farmers to look for alternatives to increase the productivity of their farms. The introduction of new pasture species is causing land degradation problems, of which soil erosion is the most important challenge. Therefore, in this study, we assessed the environmental consequences of introducing exotic pasture species, such as Brachiaria decumbens. To achieve this goal, ten erosion plots were installed with exotic and native pastures (Paspalum notatum Fl&uuml;gg&e…

Sòls Erosió010504 meteorology & atmospheric sciences01 natural sciencesPastureFodderBrachiaria decumbensOrganic matterTraditional farming0105 earth and related environmental scienceschemistry.chemical_classificationgeographygeography.geographical_feature_categorybiologylcsh:QE1-996.504 agricultural and veterinary sciencesPE&RCbiology.organism_classificationPasture productionBulk densitytraditional farming; <i>Brachiaria decumbens</i>; land degradation; pasture productionlcsh:GeologychemistryAgronomy040103 agronomy & agricultureLand degradationErosion0401 agriculture forestry and fisheriesGeneral Earth and Planetary SciencesEnvironmental scienceLand degradationSoil fertilityPaspalum notatumGeosciences
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