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Determination of forest fuels characteristics in mortality-affected Pinus forests using integrated hyperspectral and ALS data

Stefan Doerr Orcid Logo, Francisco J. Romero Ramirez, Rafael Mª. Navarro-Cerrillo, Mª. Ángeles Varo-Martínez, Jose Luis Quero, Stefan Doerr, Rocío Hernández-Clemente, Rocio Hernandez-Clemente

International Journal of Applied Earth Observation and Geoinformation, Volume: 68, Pages: 157 - 167

Swansea University Authors: Stefan Doerr Orcid Logo, Rocio Hernandez-Clemente

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DOI (Published version): 10.1016/j.jag.2018.01.003

Published in: International Journal of Applied Earth Observation and Geoinformation
ISSN: 03032434
Published: 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa40089
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first_indexed 2018-05-10T19:30:49Z
last_indexed 2020-06-17T18:54:23Z
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spelling 2020-06-17T17:15:28.4564890 v2 40089 2018-05-10 Determination of forest fuels characteristics in mortality-affected Pinus forests using integrated hyperspectral and ALS data 575eb5094f2328249328b3e43deb5088 0000-0002-8700-9002 Stefan Doerr Stefan Doerr true false 0b007e63ef097cd47d6bc60b58379103 Rocio Hernandez-Clemente Rocio Hernandez-Clemente true false 2018-05-10 SGE Journal Article International Journal of Applied Earth Observation and Geoinformation 68 157 167 03032434 30 6 2018 2018-06-30 10.1016/j.jag.2018.01.003 COLLEGE NANME Geography COLLEGE CODE SGE Swansea University 2020-06-17T17:15:28.4564890 2018-05-10T14:41:17.1214973 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography Stefan Doerr 0000-0002-8700-9002 1 Francisco J. Romero Ramirez 2 Rafael Mª. Navarro-Cerrillo 3 Mª. Ángeles Varo-Martínez 4 Jose Luis Quero 5 Stefan Doerr 6 Rocío Hernández-Clemente 7 Rocio Hernandez-Clemente 8 0040089-23052018120310.pdf 40089.pdf 2018-05-23T12:03:10.8670000 Output 444528 application/pdf Accepted Manuscript true 2019-03-20T00:00:00.0000000 12 month embargo. true eng
title Determination of forest fuels characteristics in mortality-affected Pinus forests using integrated hyperspectral and ALS data
spellingShingle Determination of forest fuels characteristics in mortality-affected Pinus forests using integrated hyperspectral and ALS data
Stefan Doerr
Rocio Hernandez-Clemente
title_short Determination of forest fuels characteristics in mortality-affected Pinus forests using integrated hyperspectral and ALS data
title_full Determination of forest fuels characteristics in mortality-affected Pinus forests using integrated hyperspectral and ALS data
title_fullStr Determination of forest fuels characteristics in mortality-affected Pinus forests using integrated hyperspectral and ALS data
title_full_unstemmed Determination of forest fuels characteristics in mortality-affected Pinus forests using integrated hyperspectral and ALS data
title_sort Determination of forest fuels characteristics in mortality-affected Pinus forests using integrated hyperspectral and ALS data
author_id_str_mv 575eb5094f2328249328b3e43deb5088
0b007e63ef097cd47d6bc60b58379103
author_id_fullname_str_mv 575eb5094f2328249328b3e43deb5088_***_Stefan Doerr
0b007e63ef097cd47d6bc60b58379103_***_Rocio Hernandez-Clemente
author Stefan Doerr
Rocio Hernandez-Clemente
author2 Stefan Doerr
Francisco J. Romero Ramirez
Rafael Mª. Navarro-Cerrillo
Mª. Ángeles Varo-Martínez
Jose Luis Quero
Stefan Doerr
Rocío Hernández-Clemente
Rocio Hernandez-Clemente
format Journal article
container_title International Journal of Applied Earth Observation and Geoinformation
container_volume 68
container_start_page 157
publishDate 2018
institution Swansea University
issn 03032434
doi_str_mv 10.1016/j.jag.2018.01.003
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Geography{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Geography
document_store_str 1
active_str 0
published_date 2018-06-30T03:51:01Z
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score 11.016235

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