1,721,169 research outputs found
A GIS tool for the land carrying capacity of large solar plants
Full text linkA tool for the estimation of the land carrying capacity of large solar plants, such as ground-mounted PV plants or solar thermal plants, is developed in GIS environment. The scope is to verify to what extent the constraints that governments and authorities have imposed on the construction of new large ground-mounted soalr plants affect the future developments of PV. The tool is applied to a large study area of North-Italy and specifically to solar photovoltaic plants but the results can be easily generalized to include large solar thermal plants. The peculiarity of the tool development is that both qualitative and quantitative criteria are merged together in order to obtain the final indicator, and that the weight of the objective function are estimated by means of an ANN. The available area are very limited and strongly influenced by the normative qualitative criteria (restricted areas
Site selection of large ground-mounted photovoltaic plants: A GIS decision support system and an application to Italy
Full text linkLatterly, central governments and local authorities have been establishing various constraints on the construction of new large ground-mounted photovoltaic (PV) plants, because of the soil consumption, landscape impact, and also competitiveness with the crop production. This is particularly important in contexts where the agricultural sector is closely linked to the territory. With the aim of providing a decision support tool based on quantitative indicators for the site selection of large ground-mounted PV plants, in this article the criteria for the identification of areas suitable for the installation of ground-mounted photovoltaic systems, recently emerged by regional government or in the technical and scientific literature, are applied to the entire territory of the Piedmont region (25,000 km(2)). Both qualitative criteria for inclusion/exclusion (e.g., exclusion from areas of great value) and criteria for quantification (e.g., solar resource availability) were considered. The aggregation of the quantitative criteria into the final indicator is done by means of an Artificial Neural Network (ANN) trained with values corresponding to sites of existing PV plants in the Region. It emerges that the available areas are very limited, concentrated, and strongly influenced by the criteria of exclusion/inclusion. Some considerations on the significance of the results for the region of analysis are finally mad
Investigating Sentinel 2 Multispectral Imagery Efficiency in Describing Spectral Response of Vineyards Covered with Plastic Sheets
Full text linkThe protection of vineyards with overhead plastic covers is a technique largely applied in table grape growing. As with other crops, remote sensing of vegetation spectral reflectance is a useful tool for improving management even for table grape viticulture. The remote sensing of the spectral signals emitted by vegetation of covered vineyards is currently an open field of investigation, given the intrinsic nature of plastic sheets that can have a strong impact on the reflection from the underlying vegetation. Baring these premises in mind, the aim of the present work was to run preliminary tests on table grape vineyards covered with polyethylene sheets, using Copernicus Sentinel 2 (Level 2A product) free optical data, and compare their spectral response with that of similar uncovered vineyards to assess if a reliable spectral signal is detectable through the plastic cover. Vine phenology, air temperature and shoot growth, were monitored during the 2016 growing cycle. Twenty-four Copernicus Sentinel 2 (S2, Level 2A product) images were used to investigate if, in spite of plastic sheets, vine phenology can be similarly described with and without plastic covers. For this purpose, time series of S2 at-the-ground reflectance calibrated bands and correspondent normalized difference vegetation index (NDVI), modified soil-adjusted vegetation index, version two (MSAVI2) and normalized difference water index (NDWI) spectral indices were obtained and analyzed, comparing the responses of two covered vineyards with different plastic sheets in respect of two uncovered ones. Results demonstrated that no significant limitation (for both bands and spectral indices) was introduced by plastic sheets while monitoring spectral behavior of covered vineyards
Produzione di cartografia speditiva da immagini satellitari nei Paesi in Via di Sviluppo
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High resolution satellite images for archeological applications: the Karima case study (Nubia region, Sudan)
Full text linkThis work presents an approach based on satellite remotely sensed images and Geomatics techniques aimed at supporting the Italian archeological missions that at the moment are active in the Karima Area (Sudan). It's well known that archaeologists often suffer from lack of updated maps useful to geographically manage the observations coming from the field and, possibly, to address or suggest where digging for new excavations. Specifically for this experience QuickBird and ASTER data were acquired and processed to generate a high scale multispectral orthoimage of the area. The spectral properties of the QB orthoimage were exploited with the purpose of obtaining suggestions about the possible existence of stil lhidden archaeological features
Produzione di ortofoto di precisione a media scala da immagini satellitari ad alta risoluzione
No full textGeoEye vs. QuickBird: operational potentialities, limits, and integration for fast map production
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