Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Marco Vizzari"'
Publikováno v:
Geo-spatial Information Science, Pp 1-16 (2024)
ABSTRACTIn contemporary agriculture and environmental management, the need for precise and accurate crop maps has never been more vital. Although object-based (OB) methods within Google Earth Engine (GEE) improve accuracy and output quality in contra
Externí odkaz:
https://doaj.org/article/5b8285cd9f1b4e328088967e6c9512f4
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
ABSTRACTUnderstanding grassland habitat dynamics in space and time is crucial for evaluating the effectiveness of protection measures and developing sustainable management practices, specifically within the Natura 2000 network and in light of the Eur
Externí odkaz:
https://doaj.org/article/f2ebfaf7d3b242efbcad60c6cee8c812
Autor:
Daniela Gigante, Simone Angelucci, Federica Bonini, Federico Caruso, Valter Di Cecco, Domizia Donnini, Luciano Morbidini, Mariano Pauselli, Bernardo Valenti, Andrea Tassi, Marco Vizzari, Luciano Di Martino
Publikováno v:
Land, Vol 13, Iss 3, p 386 (2024)
Seminatural grasslands are among the most threatened habitats in Europe and worldwide, mainly due to changes in/abandonment of their traditional extensive use by grazing animals. This study aimed to develop an innovative model that integrates plant b
Externí odkaz:
https://doaj.org/article/78a4343410364a1ba8912b04fcaadc36
Autor:
Cecilia Parracciani, Daniela Gigante, Federica Bonini, Anna Grassi, Luciano Morbidini, Mariano Pauselli, Bernardo Valenti, Emanuele Lilli, Francesco Antonielli, Marco Vizzari
Publikováno v:
Sensors, Vol 24, Iss 3, p 834 (2024)
Grasslands cover a substantial portion of the earth’s surface and agricultural land and is crucial for human well-being and livestock farming. Ranchers and grassland management authorities face challenges in effectively controlling herders’ grazi
Externí odkaz:
https://doaj.org/article/6778d9c007874e0e8930d2af41c7b23e
Autor:
Lorenzo Vergni, Alessandra Vinci, Francesca Todisco, Francesco Saverio Santaga, Marco Vizzari
Publikováno v:
Journal of Agricultural Engineering, Vol 52, Iss 4 (2021)
This study evaluated the effectiveness of various remote sensing (RS) data (Sentinel-1, Sentinel-2, and Landsat 8) in the early recognition of irrigated areas in a densely cultivated area of central Italy. The study was based on crop data collected o
Externí odkaz:
https://doaj.org/article/9d6b82f12f29421789bf2fa752393522
Publikováno v:
Land, Vol 12, Iss 1, p 99 (2022)
Mapping informal settlements’ diverse morphological patterns remains intricate due to the unavailability and huge costs of high-resolution data, as well as the spatial heterogeneity of urban environments. The accessibility to high-spatial-resolutio
Externí odkaz:
https://doaj.org/article/12cacf2190bd411e8cb65c263d9844c9
Autor:
Marco Vizzari
Publikováno v:
Remote Sensing, Vol 14, Iss 11, p 2628 (2022)
PlanetScope (PL) high-resolution composite base maps have recently become available within Google Earth Engine (GEE) for the tropical regions thanks to the partnership between Google and the Norway’s International Climate and Forest Initiative (NIC
Externí odkaz:
https://doaj.org/article/65269956def1423ab47e0cbb816fcace
Autor:
Sara Antognelli, Marco Vizzari
Publikováno v:
Applied Sciences, Vol 11, Iss 17, p 8232 (2021)
Ecosystem services (ES) and urban services (US) can comparably improve human well-being. Models for integrating ES and US with unexpressed and objective needs of defined groups of stakeholders may prove helpful for supporting decisions in landscape p
Externí odkaz:
https://doaj.org/article/6c57f6e7f01b462a9a265ae499614405
Publikováno v:
Remote Sensing, Vol 13, Iss 17, p 3379 (2021)
Soil-sample collection and strategy are costly and time-consuming endeavors, mainly when the goal is in-field variation mapping that usually requires dense sampling. This study developed and tested a streamlined soil mapping methodology, applicable a
Externí odkaz:
https://doaj.org/article/005897ae51004d9f9381a4895657ea28
Autor:
Francesco Saverio Santaga, Paolo Benincasa, Piero Toscano, Sara Antognelli, Emanuele Ranieri, Marco Vizzari
Publikováno v:
Agronomy, Vol 11, Iss 6, p 1156 (2021)
This study compares simplified and advanced precision nitrogen (N) fertilization approaches for winter wheat relying on Sentinel-2 NDVI, grain yield maps, and protein content. Five N fertilization treatments were compared: (1) a standard rate, calcul
Externí odkaz:
https://doaj.org/article/b95a46f2d90d4ae9868a4a0e261b3a15