Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Alfonso Fernández Manso"'
Autor:
Alfonso Fernández Manso, Carmen Quintano Pastor, Óscar Fernández Manso, João Roberto dos Santos, Francisco Darío Maldonado
Publikováno v:
Ambiência, Vol 1, Iss 2, Pp 213-222 (2005)
Information from satellite imagery is an important data source to Forest management. Remote sensing techniques provide information about volume, biomass and other biophysical parameters of forest stands. The main goal of this work is to map the conif
Externí odkaz:
https://doaj.org/article/f01cf19dd63747908d589e5633bf4e48
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 361 (2024)
Wildfires represent a significant threat to both ecosystems and human assets in Mediterranean countries, where fire occurrence is frequent and often devastating. Accurate assessments of the initial fire severity are required for management and mitiga
Externí odkaz:
https://doaj.org/article/2731ad9901ef41dea0b50f1a053d1dc5
Autor:
José Manuel Fernández-Guisuraga, Susana Suárez-Seoane, Carmen Quintano, Alfonso Fernández-Manso, Leonor Calvo
Publikováno v:
Remote Sensing, Vol 14, Iss 20, p 5138 (2022)
We aimed to compare the potential of physical-based models (radiative transfer and pixel unmixing models) for evaluating the short-term resilience to fire of several shrubland communities as a function of their regenerative strategy and burn severity
Externí odkaz:
https://doaj.org/article/43d3057c61af4ce6b105b21156cde9de
Autor:
Víctor Fernández-García, Elena Marcos, José Manuel Fernández-Guisuraga, Alfonso Fernández-Manso, Carmen Quintano, Susana Suárez-Seoane, Leonor Calvo
Publikováno v:
Remote Sensing, Vol 13, Iss 5, p 979 (2021)
Heterogeneous and patchy landscapes where vegetation and abiotic factors vary at small spatial scale (fine-grained landscapes) represent a challenge for habitat diversity mapping using remote sensing imagery. In this context, techniques of spectral m
Externí odkaz:
https://doaj.org/article/d39c7e084f8048498eaeb3dff58dff75
Autor:
Luis A. Pérez-Rodríguez, Carmen Quintano, Elena Marcos, Susana Suarez-Seoane, Leonor Calvo, Alfonso Fernández-Manso
Publikováno v:
Remote Sensing, Vol 12, Iss 8, p 1295 (2020)
Prescribed fires have been applied in many countries as a useful management tool to prevent large forest fires. Knowledge on burn severity is of great interest for predicting post-fire evolution in such burned areas and, therefore, for evaluating the
Externí odkaz:
https://doaj.org/article/1e7a3a847d754d64983ed0dcbeff80ce
Publikováno v:
Remote Sensing, Vol 12, Iss 5, p 858 (2020)
Southern European countries, particularly Spain, are greatly affected by forest fires each year. Quantification of burned area is essential to assess wildfire consequences (both ecological and socioeconomic) and to support decision making in land man
Externí odkaz:
https://doaj.org/article/473defa9d09146419dd4478152f36ac4
Publikováno v:
Remote Sensing, Vol 12, Iss 5, p 890 (2020)
Forest managers rely on accurate burn severity estimates to evaluate post-fire damage and to establish revegetation policies. Burn severity estimates based on reflective data acquired from sensors onboard satellites are increasingly complementing fie
Externí odkaz:
https://doaj.org/article/f6d60bc3ca5947118eb73b268f6e7777
Publikováno v:
Remote Sensing, Vol 11, Iss 15, p 1832 (2019)
Forest managers demand reliable tools to evaluate post-fire vegetation and soil damage. In this study, we quantify wildfire damage to vegetation and soil based on the analysis of burn severity, using multitemporal and multispectral satellite data and
Externí odkaz:
https://doaj.org/article/dcf53b719c2641a88ee0a41d4880416e
Autor:
Víctor Fernández-García, Carmen Quintano, Angela Taboada, Elena Marcos, Leonor Calvo, Alfonso Fernández-Manso
Publikováno v:
Remote Sensing, Vol 10, Iss 5, p 733 (2018)
We aimed to analyze the relationship between fire regime attributes and the post-fire greenness recovery of fire-prone pine ecosystems over the short (2-year) and medium (5-year) term after a large wildfire, using both a single and a combined fire re
Externí odkaz:
https://doaj.org/article/3d105dff974c4071bff201df352d56c8
Autor:
José Manuel Fernández-Guisuraga, Elena Marcos, Susana Suárez-Seoane, David Beltrán-Marcos, Alfonso Fernández-Manso, Carmen Quintano, Leonor Calvo
Publikováno v:
Advances in Forest Fire Research 2022 ISBN: 9789892622989
The physical sense of synthetic aperture radar (SAR) backscatter data is of particular interest for characterizing soil spatial variability in burned areas. The objective of this study was to evaluate the potential of SAR backscatter data in L-band (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb8f14b50ef1b3c8d10492de63377f7d
https://doi.org/10.14195/978-989-26-2298-9_52
https://doi.org/10.14195/978-989-26-2298-9_52
