Zobrazeno 1 - 10
of 57
pro vyhledávání: '"maria teresa melis"'
Autor:
Massimo Musacchio, Malvina Silvestri, Vito Romaniello, Marco Casu, Maria Fabrizia Buongiorno, Maria Teresa Melis
Publikováno v:
Remote Sensing, Vol 16, Iss 6, p 1092 (2024)
A comparison between the ASI-PRISMA (Agenzia Spaziale Italiana-PRecursore IperSpettrale della Missione Applicativa) DLR-EnMAP (German Aerospace Center—Environmental Mapping and Analysis Program) data and field spectrometer measurements has been per
Externí odkaz:
https://doaj.org/article/3204f64053e247a8a134653ee3260ead
Autor:
Maria Teresa Melis, Maria Antonietta Dessena, Mirco Boschetti, Gabriele Candiani, Giacomo Deiana, Laura Pioli
Publikováno v:
European Journal of Remote Sensing (2023)
Externí odkaz:
https://doaj.org/article/3c9377d5176b42da90199b272e464278
Autor:
Sabrina Podda, Maria Teresa Melis, Claudia Collu, Valentino Demurtas, Francesco Onorato Perseu, Maria Teresa Brunetti, Marco Scaioni
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 3304-3316 (2020)
On the surface of the Moon a large number of linear features are recognizable. Long and narrow depressions are defined as lunar rilles. Their morphology has different characteristics, related to their origin. Among these, the sinuous rilles represent
Externí odkaz:
https://doaj.org/article/d712859c04354da8b68dec11d88fcc47
Publikováno v:
Remote Sensing, Vol 15, Iss 7, p 1800 (2023)
In this study, the presence of permafrost layer and its potential variation in the last three decades will be examined through the multitemporal analysis of satellite data in the area of the Deosai Plateau (Northern Pakistan). In the area, only globa
Externí odkaz:
https://doaj.org/article/9f41062d4229460687aa43af0bb35786
Autor:
Gabriela Mihaela Afrasinei, Maria Teresa Melis, Claudio Arras, Marco Pistis, Cristina Buttau, Giorgio Ghiglieri
Publikováno v:
European Journal of Remote Sensing, Vol 51, Iss 1, Pp 352-374 (2018)
Aeolian processes in drylands often transcend into sand encroachment, a common form of land degradation. Highly reflective desert features, hence sandy areas, often cause spectral confusion, and mapping through remote sensing techniques can be challe
Externí odkaz:
https://doaj.org/article/b46d2501cfad4dfbb3e31c27db70951f
Autor:
Marco Scaioni, Vasil Yordanov, Maria Teresa Brunetti, Maria Teresa Melis, Angelo Zinzi, Zhizhong Kang, Paolo Giommi
Publikováno v:
European Journal of Remote Sensing, Vol 51, Iss 1, Pp 47-61 (2018)
Landslides have been observed on several planets and minor bodies of the solar System, including the Moon. Notwithstanding different types of slope failures have been studied on the Moon, a detailed lunar landslide inventory is still pending. Undoubt
Externí odkaz:
https://doaj.org/article/4f4492820aef463388418bcb9e6d07b4
Publikováno v:
Remote Sensing, Vol 13, Iss 20, p 4087 (2021)
Hundreds of large and deep collapse dolines dot the surface of the Quaternary basaltic plateau of Azrou, in the Middle Atlas of Morocco. In the absence of detailed topographic maps, the morphometric study of such a large number of features requires t
Externí odkaz:
https://doaj.org/article/5ed5df02418746908a566e5f0ce778b3
Autor:
Marco Loche, Gianvito Scaringi, Jan Blahůt, Maria Teresa Melis, Antonio Funedda, Stefania Da Pelo, Ivan Erbì, Giacomo Deiana, Mattia Alessio Meloni, Fabrizio Cocco
Publikováno v:
Remote Sensing, Vol 13, Iss 7, p 1265 (2021)
The mechanical strength is a fundamental characteristic of rock masses that can be empirically related to a number of properties and to the likelihood of instability phenomena. Direct field acquisition of mechanical information on tall cliffs, howeve
Externí odkaz:
https://doaj.org/article/202b33a3703c498c8ef9c2a5b5051127
Autor:
Maria Teresa Melis, Stefania Da Pelo, Ivan Erbì, Marco Loche, Giacomo Deiana, Valentino Demurtas, Mattia Alessio Meloni, Francesco Dessì, Antonio Funedda, Marco Scaioni, Gianvito Scaringi
Publikováno v:
Remote Sensing, Vol 12, Iss 12, p 1971 (2020)
Coastal retreat is a non-recoverable phenomenon that—together with a relevant proneness to landslides—has economic, social and environmental impacts. Quantitative data on geological and geomorphologic features of such areas can help to predict an
Externí odkaz:
https://doaj.org/article/31ec53f40342476d9431ab7255e605a0
Autor:
Maria Teresa Melis, Simonetta Paloscia
Publikováno v:
European Journal of Remote Sensing, Vol 52, Iss 0, Pp 1-1 (2019)
Externí odkaz:
https://doaj.org/article/1682aa914e3142a68913211e83a87f47