Zobrazeno 1 - 10
of 307
pro vyhledávání: '"Giuseppe Modica"'
Publikováno v:
Smart Agricultural Technology, Vol 8, Iss , Pp 100444- (2024)
Precision agriculture (PA) is a farming management concept that aims to provide agronomic, economic, and environmental benefits. One of the fields of research in PA is the delineation of Management Unit Zones (MUZs). MUZs are the sub-division of fiel
Externí odkaz:
https://doaj.org/article/ecdee6d4b2b1420aa4be1f5ba9f71cbc
Autor:
Giandomenico De Luca, Giuseppe Modica, João M. N. Silva, Salvatore Praticò, José M.C. Pereira
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 3162-3198 (2023)
Crown fire damage is a mixture of three principal fire-related components: charred material, scorched foliage, and unaltered green canopy. This study estimated the abundance of these physical alterations in two immediate post-fire Mediterranean fores
Externí odkaz:
https://doaj.org/article/fbf89e30fc9d4761a512471dcb5025ca
Autor:
Giuseppe Modica, Angelo Pulvirenti, Daniela Spina, Salvatore Bracco, Mario D'Amico, Giuseppe Di Vita
Publikováno v:
Cleaner Environmental Systems, Vol 14, Iss , Pp 100207- (2024)
Sicily ranks as the third-largest region in Italy for olive growing and olive oil production, holding the second position nationally regarding the number of active olive oil mills. This pioneering study integrates spatial and economic analyses to exa
Externí odkaz:
https://doaj.org/article/06d0b7285d9b414692cbe5c9acc18eae
Autor:
Giuseppe Badagliacca, Gaetano Messina, Salvatore Praticò, Emilio Lo Presti, Giovanni Preiti, Michele Monti, Giuseppe Modica
Publikováno v:
AgriEngineering, Vol 5, Iss 4, Pp 2032-2048 (2023)
Durum wheat (Triticum durum Desf.) is one of the most widely cultivated cereal species in the Mediterranean basin, supporting pasta, bread and other typical food productions. Considering its importance for the nutrition of a large population and prod
Externí odkaz:
https://doaj.org/article/3a71ab8bf2b04531bbec8fefd528f100
Publikováno v:
Geocarto International, Vol 37, Iss 27, Pp 15428-15462 (2022)
AbstractIn the present study, the temporal and spatial dynamics of the post-fire recovery of different Mediterranean vegetation types during the three years after the fire event were analyzed, according to different fire severity categories, integrat
Externí odkaz:
https://doaj.org/article/8dcc3896e5e74ba1a1c07aab9dd657b2
Publikováno v:
GIScience & Remote Sensing, Vol 59, Iss 1, Pp 1678-1705 (2022)
Wildland fires are among the main factors affecting the surrounding territory in terms of ecological and socioeconomic changes at different temporal and spatial scales. In the Mediterranean environment, although fire can positively influence some bio
Externí odkaz:
https://doaj.org/article/4f5a756459d742f9a5c26e61c4fee22a
Publikováno v:
European Journal of Remote Sensing, Vol 55, Iss 1, Pp 52-70 (2022)
This paper aims to develop a supervised classification integrating synthetic aperture radar (SAR) Sentinel-1 (S1) and optical Sentinel-2 (S2) data for land use/land cover (LULC) mapping in a heterogeneous Mediterranean forest area. The time-series of
Externí odkaz:
https://doaj.org/article/6394683c536a4d289b0127bbc3129faa
Autor:
Salvatore Praticò, Raimondo Tripodi, Viviana Tirella, Salvatore Di Fazio, Francesco Barreca, Giuseppe Modica
Publikováno v:
Journal of Agricultural Engineering (2023)
In Italy historic agri-food buildings can be considered a relevant material expression and testimony of century-old agriculture and food processing practices handed down by generations. Recently they have gained ever-growing importance as a part of t
Externí odkaz:
https://doaj.org/article/c4fdab56c6564ef39b787ec207148b34
Publikováno v:
Ecological Indicators, Vol 148, Iss , Pp 110150- (2023)
Ecological sustainability has recently risen to prominence in scientific research and management applications. Approaches to measuring ecological connectivity and their application to optimize ecological network (EN) design are powerful tools against
Externí odkaz:
https://doaj.org/article/6ef322ef40854064b9d404e80bdc9833
Publikováno v:
GIScience & Remote Sensing, Vol 58, Iss 4, Pp 516-541 (2021)
This paper investigates the capability of the free synthetic aperture radar (SAR) Sentinel-1 (S-1) C-band data for burned area mapping through unsupervised machine learning open-source processing solutions in the Mediterranean forest ecosystems. The
Externí odkaz:
https://doaj.org/article/74e890ccba5a4d73941701d05aa46ec6