Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Sandra Bujan"'
Autor:
Juan Guerra-Hernández, Brigite Botequim, Sandra Bujan, Alfonso Jurado-Varela, Juan Alberto Molina-Valero, Adela Martínez-Calvo, Cesar Pérez-Cruzado
Publikováno v:
GIScience & Remote Sensing, Vol 59, Iss 1, Pp 686-704 (2022)
Remotely sensed data are increasingly used together with National Forest Inventory (NFI) data to improve the spatial precision of forest variable estimates. In this study, we combined data from the 4th Spanish National Forest Inventory (SNFI-4) and f
Externí odkaz:
https://doaj.org/article/1ca9354c3a094575b2c150754a91dc53
Autor:
Saray Martín-García, Ivan Balenović, Luka Jurjević, Iñigo Lizarralde, Sandra Buján, Rafael Alonso Ponce
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2095 (2022)
Understorey evaluation is essential in wildlife habitat management, biomass storage and wildfire suppression, among other areas. The lack of a standardised methodology in the field measurements, and in their subsequent analysis, forces researchers to
Externí odkaz:
https://doaj.org/article/b0bd218cf87d466f8b0d622526508902
Publikováno v:
Remote Sensing, Vol 13, Iss 3, p 393 (2021)
Knowledge about forest road networks is essential for sustainable forest management and fire management. The aim of this study was to assess the accuracy of a new hierarchical-hybrid classification tool (HyClass) for mapping paved and unpaved forest
Externí odkaz:
https://doaj.org/article/e69ac1b4d2a049569127f63cee5947bd
Publikováno v:
Remote Sensing, Vol 12, Iss 7, p 1051 (2020)
Despite the large amounts of resources destined to developing filtering algorithms of LiDAR point clouds in order to obtain a Digital Terrain Model (DTM), the task remains a challenge. As a society advancing towards the democratization of information
Externí odkaz:
https://doaj.org/article/45176811f08b409bbb242491bdd50e12