000096145 001__ 96145
000096145 005__ 20210902121903.0
000096145 0247_ $$2doi$$a10.3390/rs12213660
000096145 0248_ $$2sideral$$a120765
000096145 037__ $$aART-2020-120765
000096145 041__ $$aeng
000096145 100__ $$0(orcid)0000-0002-8362-7559$$aDomingo, Dario
000096145 245__ $$aFuel Type Classification Using Airborne Laser Scanning and Sentinel 2 Data in Mediterranean Forest Affected by Wildfires
000096145 260__ $$c2020
000096145 5060_ $$aAccess copy available to the general public$$fUnrestricted
000096145 5203_ $$aMediterranean forests are recurrently affected by fire. The recurrence of fire in such environments and the number and severity of previous fire events are directly related to fire risk. Fuel type classification is crucial for estimating ignition and fire propagation for sustainable forest management of these wildfire prone environments. The aim of this study is to classify fuel types according to Prometheus classification using low-density Airborne Laser Scanner (ALS) data, Sentinel 2 data, and 136 field plots used as ground-truth. The study encompassed three different Mediterranean forests dominated by pines (Pinus halepensis, P. pinaster y P. nigra), oaks (Quercus ilex) and quercus (Q. faginea) in areas affected by wildfires in 1994 and their surroundings. Two metric selection approaches and two non-parametric classification methods with variants were compared to classify fuel types. The best-fitted classification model was obtained using Support Vector Machine method with radial kernel. The model includes three ALS and one Sentinel-2 metrics: the 25th percentile of returns height, the percentage of all returns above mean, rumple structural diversity index and NDVI. The overall accuracy of the model after validation was 59%. The combination of data from active and passive remote sensing sensors as well as the use of adapted structural diversity indices derived from ALS data improved accuracy classification. This approach demonstrates its value for mapping fuel type spatial patterns at a regional scale under different heterogeneous and topographically complex Mediterranean forests.
000096145 536__ $$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/CGL2014-57013-C2-2-R
000096145 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000096145 590__ $$a4.848$$b2020
000096145 591__ $$aGEOSCIENCES, MULTIDISCIPLINARY$$b27 / 198 = 0.136$$c2020$$dQ1$$eT1
000096145 591__ $$aIMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY$$b8 / 29 = 0.276$$c2020$$dQ2$$eT1
000096145 591__ $$aREMOTE SENSING$$b10 / 32 = 0.312$$c2020$$dQ2$$eT1
000096145 591__ $$aENVIRONMENTAL SCIENCES$$b76 / 273 = 0.278$$c2020$$dQ2$$eT1
000096145 592__ $$a1.284$$b2020
000096145 593__ $$aEarth and Planetary Sciences (miscellaneous)$$c2020$$dQ1
000096145 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000096145 700__ $$0(orcid)0000-0003-2615-270X$$ade la Riva, Juan$$uUniversidad de Zaragoza
000096145 700__ $$0(orcid)0000-0002-8954-7517$$aLamelas, Teresa$$uUniversidad de Zaragoza
000096145 700__ $$0(orcid)0000-0003-2610-7749$$aGarcía-Martín, Alberto$$uUniversidad de Zaragoza
000096145 700__ $$0(orcid)0000-0003-3901-164X$$aIbarra , Paloma$$uUniversidad de Zaragoza
000096145 700__ $$0(orcid)0000-0001-6680-7833$$aEcheverría, Mª Teresa$$uUniversidad de Zaragoza
000096145 700__ $$0(orcid)0000-0002-9123-304X$$aHoffrén, Raúl$$uUniversidad de Zaragoza
000096145 7102_ $$13006$$2430$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Geografía Física
000096145 7102_ $$13006$$2010$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Análisis Geográfico Regi.
000096145 773__ $$g12, 21 (2020), 3660 [22 pp.]$$pRemote sens. (Basel)$$tRemote Sensing$$x2072-4292
000096145 8564_ $$s1092529$$uhttps://zaguan.unizar.es/record/96145/files/texto_completo.pdf$$yVersión publicada
000096145 8564_ $$s489809$$uhttps://zaguan.unizar.es/record/96145/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000096145 909CO $$ooai:zaguan.unizar.es:96145$$particulos$$pdriver
000096145 951__ $$a2021-09-02-10:37:20
000096145 980__ $$aARTICLE