Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Luísa Gomes Pereira"'
Publikováno v:
Applied Sciences, Vol 13, Iss 8, p 4915 (2023)
A flood vulnerability index was constructed by coupling Geographic Information System (GIS) mapping capabilities with an Analytic Hierarchy Process (AHP) Group Decision-Making (GDM) resulting from a paired comparison matrix of expert groups to assign
Externí odkaz:
https://doaj.org/article/6d81b59f1288411f99c8a9837e8a6438
Autor:
Luísa Gomes Pereira, Paulo Fernandez, Sandra Mourato, Jorge Matos, Cedric Mayer, Fábio Marques
Publikováno v:
Remote Sensing, Vol 13, Iss 3, p 419 (2021)
Over the last few decades, we witnessed a revolution in acquiring very high resolution and accurate geo-information. One of the reasons was the advances in photonics and LiDAR, which had a remarkable impact in applications requiring information with
Externí odkaz:
https://doaj.org/article/6693bb1baa9c4cabbf7a8d437a7f90a3
Autor:
Diogo N. Cosenza, Luísa Gomes Pereira, Juan Guerra-Hernández, Adrián Pascual, Paula Soares, Margarida Tomé
Publikováno v:
Remote Sensing, Vol 12, Iss 6, p 918 (2020)
Ground point filtering of the airborne laser scanning (ALS) returns is crucial to derive digital terrain models (DTMs) and to perform ALS-based forest inventories. However, the filtering calibration requires considerable knowledge from users, who nor
Externí odkaz:
https://doaj.org/article/fd993ad77e56496989c9c3fec4654d38
Publikováno v:
Remote Sensing, Vol 11, Iss 11, p 1305 (2019)
Satellite remote sensing data are often used to extract water surfaces related to extreme events like floods. This study presents the Multi INDEx Differencing (MINDED) method, an innovative procedure to estimate flood extents, aiming at improving the
Externí odkaz:
https://doaj.org/article/6b7032395f934eddad1c02b5cfcae8a5