Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/148708
COMPARTIR / EXPORTAR:
logo share SHARE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Título

Remotely Sensed Soil Moisture as a Key Variable in Wildfires Prevention Services: Towards New Prediction Tools Using SMOS and SMAP Data

AutorChaparro, David; Piles, María CSIC ORCID; Vall-llossera, Mercè
Fecha de publicación2016
EditorElsevier
CitaciónSatellite Soil Moisture Retrieval : Techniques and Applications 13: 249–269 (2016)
ResumenWildfires are an increasingly concerning issue due to their impact on safety, environment, and the economy. Although natural fires are in part essential to maintain dynamics, biodiversity, and productivity in some ecosystems, their damages are huge in economic and environmental terms (FAO, 2006; Ireland and Petropoulos, 2015; Karamesouti et al., 2016). Usually, forest fires occur in patchy landscapes, affecting agricultural and urban areas, and in some cases, seriously threatening human lives. [...]
Descripción21 pages, 9 figures, 1 table
Versión del editorhttps://doi.org/10.1016/B978-0-12-803388-3.00013-9
URIhttp://hdl.handle.net/10261/148708
DOI10.1016/B978-0-12-803388-3.00013-9
Identificadoresisbn: 978-0-12-803388-3
Aparece en las colecciones: (ICM) Libros y partes de libros

Mostrar el registro completo

CORE Recommender

WEB OF SCIENCETM
Citations

4
checked on 01-dic-2021

Page view(s)

247
checked on 19-abr-2024

Google ScholarTM

Check

Altmetric

Altmetric


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.