<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Chirici, G.</style></author><author><style face="normal" font="default" size="100%">Scotti, R.</style></author><author><style face="normal" font="default" size="100%">Montaghi, a</style></author><author><style face="normal" font="default" size="100%">Barbati, a</style></author><author><style face="normal" font="default" size="100%">Cartisano, R.</style></author><author><style face="normal" font="default" size="100%">Lopez, G.</style></author><author><style face="normal" font="default" size="100%">Marchetti, M.</style></author><author><style face="normal" font="default" size="100%">McRoberts, R. E. E.</style></author><author><style face="normal" font="default" size="100%">Olsson, H.</style></author><author><style face="normal" font="default" size="100%">Corona, P.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Stochastic gradient boosting classification trees for forest fuel types mapping through airborne laser scanning and IRS LISS-III imagery</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Applied Earth Observation and Geoinformation</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">airborne laser scanning</style></keyword><keyword><style  face="normal" font="default" size="100%">Classification and regression trees</style></keyword><keyword><style  face="normal" font="default" size="100%">Forest fires</style></keyword><keyword><style  face="normal" font="default" size="100%">forest fuel type mapping</style></keyword><keyword><style  face="normal" font="default" size="100%">irs liss-iii imagery</style></keyword><keyword><style  face="normal" font="default" size="100%">Mediterranean forests</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2013///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://linkinghub.elsevier.com/retrieve/pii/S0303243413000494</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">25</style></volume><pages><style face="normal" font="default" size="100%">87 - 97</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This paper presents an application of Airborne Laser Scanning (ALS) data in conjunction with an IRS LISS-III image for mapping forest fuel types. For two study areas of 165 km2 and 487 km2 in Sicily (Italy), 16,761 plots of size 30-m × 30-m were distributed using a tessellation-based stratified sampling scheme. ALS metrics and spectral signatures from IRS extracted for each plot were used as predictors to classify forest fuel types observed and identified by photointerpretation and fieldwork. Following use of tra- ditional parametric methods that produced unsatisfactory results, three non-parametric classification approaches were tested: (i) classification and regression tree (CART), (ii) the CART bagging method called Random Forests, and (iii) the CART bagging/boosting stochastic gradient boosting (SGB) approach. This contribution summarizes previous experiences using ALS data for estimating forest variables useful for fire management in general and for fuel type mapping, in particular. It summarizes characteristics of classification and regression trees, presents the pre-processing operation, the classification algorithms, and the achieved results. The results demonstrated superiority of the SGB method with overall accuracy of 84%. The most relevant ALS metric was canopy cover, defined as the percent of non-ground returns. Other relevant metrics included the spectral information from IRS and several other ALS metrics such as percentiles of the height distribution, the mean height of all returns, and the number of returns.</style></abstract><notes><style face="normal" font="default" size="100%">The following values have no corresponding Zotero field:&lt;br/&gt;publisher: Elsevier B.V.</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rego, F.</style></author><author><style face="normal" font="default" size="100%">Godinho-Ferreira, P.</style></author><author><style face="normal" font="default" size="100%">Uva, J. S.</style></author><author><style face="normal" font="default" size="100%">Cunha, J.</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Marchetti, M.</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Combination of structural and compositional factors for describing forest types using national forest inventory data</style></title><secondary-title><style face="normal" font="default" size="100%">Monitoring and Indicators of Forest Biodiversity in Europe - From Ideas to Operationality</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Biodiversity</style></keyword><keyword><style  face="normal" font="default" size="100%">composition</style></keyword><keyword><style  face="normal" font="default" size="100%">forest types</style></keyword><keyword><style  face="normal" font="default" size="100%">national forest inventory</style></keyword><keyword><style  face="normal" font="default" size="100%">vertical structure</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2005///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">EUROPEAN FOREST INSTITUTE</style></publisher><pages><style face="normal" font="default" size="100%">153 - 162</style></pages><isbn><style face="normal" font="default" size="100%">952-5453-04-9</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">For the first time in Portugal, simple variables describing the vertical structure and the composition of forests on the Portuguese mainland were included in the 2258 sample plots of the National Forest Inventory (DGF 2001). The vertical forest structure was assessed by percentage cover of seven height. classes and the composition of the different layers was described using plant species, or groups of plant species, easily identifiable in the field. Cluster analysis, in particular K-means statistics, was performed using combinations of vertical structure and compositional data, resulting in ten main natural groups or forest types: 1) Quercus pyrenaica forests; 2) Other deciduous oak forests; 3) Arbutus unedo forests; 4) Cistus shrubs; 5) Cytisus shrubs; 6) Acacia forests; 7) Quercus suber forests; 8) Pinus pinaster forests; 9) Eucalyptus forests; and 10) Other forests. The last four groups were further subdivided according to the vertical structure resulting in twenty final forest types. The geographical distribution of these forests types and the implications for biodiversity and other forest issues are presented and discussed.</style></abstract><notes><style face="normal" font="default" size="100%">The following values have no corresponding Zotero field:&lt;br/&gt;periodical: Monitoring and Indicators of Forest Biodiversity in Europe - From Ideas to Operationality&lt;br/&gt;issue: 51&lt;br/&gt;pub-location: TORIKATU 34, FIN-80100 JOENSUU, FINLAND</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Garcia, C.</style></author><author><style face="normal" font="default" size="100%">Carvalho, P.</style></author><author><style face="normal" font="default" size="100%">Sergio, C.</style></author><author><style face="normal" font="default" size="100%">Sim-Sim, M.</style></author><author><style face="normal" font="default" size="100%">Diogo, A.</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Marchetti, M.</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Epiphytic bryophytes and lichens in Quercus rotundifolia Lam. woodlands of Portugal and their value as ecological indicators</style></title><secondary-title><style face="normal" font="default" size="100%">Monitoring and Indicators of Forest Biodiversity in Europe - From Ideas to Operationality</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">bryophytes</style></keyword><keyword><style  face="normal" font="default" size="100%">Ecological indicators</style></keyword><keyword><style  face="normal" font="default" size="100%">lichens</style></keyword><keyword><style  face="normal" font="default" size="100%">Portugal</style></keyword><keyword><style  face="normal" font="default" size="100%">TWINSPAN</style></keyword><keyword><style  face="normal" font="default" size="100%">woodlands</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2005///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">EUROPEAN FOREST INSTITUTE</style></publisher><pages><style face="normal" font="default" size="100%">271 - 283</style></pages><isbn><style face="normal" font="default" size="100%">952-5453-04-9</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The epiphytic bryophyte and lichen vegetation in Quercus rotundifolia woodlands in Portugal and its dependence on a number of environmental variables were investigated in six sites of Portugal. 36 bryophyte (32 mosses, 4 liverworts) and 105 lichens were found. Multivariate analysis was used to examine the epiphytic bryophyte and lichen composition of these woodlands. TWINSPAN and Canonical Correspondence Analysis (CCA) recognized four major groups of bryophytes and lichens species, one related to pastoral woodlands, another to altitudinal woodlands, a third one to the woodlands under Atlantic influence and a fourth with generalist species. Differences in bryophyte and lichen species composition and cover in the studied areas were attributed mainly to distinct humidity, precipitation, evapotranspiration and insolation levels. The bryophytes Leucodon sciuroides, Frullania dilatata, and the lichen Evernia prunastri presented the highest cover values. A very rare bryophyte species Zygodon forsteri, included in the European Red Data Book, was found. Obtained results are a good basis to improve methods based on bryophytes and lichens as bio-indicators of forest biodiversity.</style></abstract><notes><style face="normal" font="default" size="100%">The following values have no corresponding Zotero field:&lt;br/&gt;periodical: Monitoring and Indicators of Forest Biodiversity in Europe - From Ideas to Operationality&lt;br/&gt;issue: 51&lt;br/&gt;pub-location: TORIKATU 34, FIN-80100 JOENSUU, FINLAND</style></notes></record></records></xml>