Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Pablo Marzialetti"'
Autor:
Stefano Pignatti, Raffaele Casa, Giovanni Laneve, Zhenhai Li, Linyi Liu, Pablo Marzialetti, Nada Mzid, Simone Pascucci, Paolo Cosmo Silvestro, Massimo Tolomio, Deepak Upreti, Hao Yang, Guijun Yang, Wenjiang Huang
Publikováno v:
Remote Sensing, Vol 13, Iss 15, p 2889 (2021)
Novel approaches and algorithms to estimate crop physiological processes from Earth Observation (EO) data are essential to develop more sustainable management practices in agricultural systems. Within this context, this paper presents the results of
Externí odkaz:
https://doaj.org/article/4b8734d90d294cb9b9a65eb26068c2ef
Autor:
D. Astiaso Garcia, Meysam Majidi Nezhad, Georgios Sylaios, Mehdi Neshat, Azim Heydari, Pablo Marzialetti, Daniele Groppi
Publikováno v:
Renewable Energy. 172:667-679
The correct strategy for monitoring and assessing marine Renewable Energy Sources (RESs) is of great importance for local/national sustainable development. To achieve this goal, it is necessary to measure in the most precise possible manner the local
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3c36636b5fe90dc89efaad9d73cb6af
https://doi.org/10.1016/j.renene.2021.03.045
https://doi.org/10.1016/j.renene.2021.03.045
Publikováno v:
Journal of Geodesy and Geoinformation Science, Vol 3, Iss 4, Pp 98-109 (2020)
The AMEOS (Assimilating Multi-source Earth Observation Satellite data for crop pests and diseases monitoring and forecasting) project aims to bring together cutting edge research to provide pest and disease monitoring and forecast information, integr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::575f0872bc96957a1682fb8c1a129a21
http://jggs.sinomaps.com/fileup/2096-5990/PDF/1610702132173-372403913.pdf
http://jggs.sinomaps.com/fileup/2096-5990/PDF/1610702132173-372403913.pdf
Autor:
Pablo Marzialetti, Fabrizio Cumo, Lorenzo Fusilli, Daniele Groppi, D. Astiaso Garcia, Giovanni Laneve, Meysam Majidi Nezhad
Publikováno v:
Renewable and Sustainable Energy Reviews. 109:499-513
A method for assessing and mapping the wind energy potential of near- and off-shore areas by means of multi sensor satellites (i.e. the recently launched Sentinel 1) is shown in this paper and applied to a case study area in the north-west coast of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28e0105d70933763d3f80daa82c95fac
https://doi.org/10.1016/j.rser.2019.04.059
https://doi.org/10.1016/j.rser.2019.04.059
Autor:
Giovanni Laneve, Stefano Pignatti, Massimo Tolomio, Guijun Yang, Zhenhai Li, Deepak Upreti, Raffaele Casa, Linyi Liu, Simone Pascucci, Pablo Marzialetti, Nada Mzid, Wenjiang Huang, Hao Yang, Paolo Cosmo Silvestro
Publikováno v:
Remote sensing (Basel) 13 (2021): Art.2889-1–Art.2889-26. doi:10.3390/rs13152889
info:cnr-pdr/source/autori:Pignatti S.; Casa R.; Laneve G.; Li Z.; Liu L.; Marzialetti P.; Mzid N.; Pascucci S.; Silvestro P.C.; Tolomio M.; Upreti D.; Yang H.; Yang G.; Huang W./titolo:Sino-eu earth observation data to support the monitoring and management of agricultural resources/doi:10.3390%2Frs13152889/rivista:Remote sensing (Basel)/anno:2021/pagina_da:Art.2889-1/pagina_a:Art.2889-26/intervallo_pagine:Art.2889-1–Art.2889-26/volume:13
Remote Sensing, Vol 13, Iss 2889, p 2889 (2021)
info:cnr-pdr/source/autori:Pignatti S.; Casa R.; Laneve G.; Li Z.; Liu L.; Marzialetti P.; Mzid N.; Pascucci S.; Silvestro P.C.; Tolomio M.; Upreti D.; Yang H.; Yang G.; Huang W./titolo:Sino-eu earth observation data to support the monitoring and management of agricultural resources/doi:10.3390%2Frs13152889/rivista:Remote sensing (Basel)/anno:2021/pagina_da:Art.2889-1/pagina_a:Art.2889-26/intervallo_pagine:Art.2889-1–Art.2889-26/volume:13
Remote Sensing, Vol 13, Iss 2889, p 2889 (2021)
Novel approaches and algorithms to estimate crop physiological processes from Earth Observation (EO) data are essential to develop more sustainable management practices in agricultural systems. Within this context, this paper presents the results of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::947147072ad36b8bb511d6981105e5fd
Bracken fern (Pteridium) is ranked among the most invasive species of the world (Holland & Aplin 2013). The fern’s intrusion has caused great reduction in the quantity and quality of land accessible for grazing (Birnie & Miller 1986). In some cases
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f6befea7aafe0c5407c1548445a62ac
https://doi.org/10.5194/egusphere-egu2020-18442
https://doi.org/10.5194/egusphere-egu2020-18442
Autor:
Lorenzo Fusilli, R. De Bonis, Pablo Marzialetti, Giovanni Laneve, L. Tampellini, Guido Bernini
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9:2806-2817
PREFER (space-based information support for prevention and recovery of forest fires emergency in the Mediterranean area) is one of the Copernicus FP7 Emergency projects funded in 2012. It is uniquely devoted to forest pre- and post-fire management. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb0746dee1a8ef94668146147146e4bd
https://doi.org/10.1109/jstars.2016.2528127
https://doi.org/10.1109/jstars.2016.2528127
Publikováno v:
Proceedings of the 4th World Congress on New Technologies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::346bdcf513750a7766aaa32148902c37
https://doi.org/10.11159/icepr18.179
https://doi.org/10.11159/icepr18.179
Publikováno v:
2018 IEEE Biennial Congress of Argentina (ARGENCON).
In Argentina, the deforestation has reached a significant magnitude, particularly in the Chaco Serrano area. One of the main consequences of deforestation is the presence of bare soils which are vulnerable to precipitation, where runoff causes flash
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::720a0d8b202fe9a6d22bb4326f3b4c82
https://doi.org/10.1109/argencon.2018.8646242
https://doi.org/10.1109/argencon.2018.8646242