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Francisco Mauro
Francisco Mauro
Maria Zambrano Research Associate
在 uva.es 的电子邮件经过验证
标题
引用次数
引用次数
年份
Analysis of the influence of plot size and LiDAR density on forest structure attribute estimates
LA Ruiz, T Hermosilla, F Mauro, M Godino
Forests 5 (5), 936-951, 2014
147*2014
Accuracy and precision of GPS receivers under forest canopies in a mountainous environment
R Valbuena, F Mauro, R Rodriguez-Solano, JA Manzanera
Spanish journal of agricultural research 8 (4), 1047-1057, 2010
1272010
Comparing airborne laser scanning-imagery fusion methods based on geometric accuracy in forested areas
R Valbuena, F Mauro, FJ Arjonilla, JA Manzanera
Remote Sensing of Environment 115 (8), 1942-1954, 2011
562011
Enhancing of accuracy assessment for forest above-ground biomass estimates obtained from remote sensing via hypothesis testing and overfitting evaluation
R Valbuena, A Hernando, JA Manzanera, EB Görgens, DRA Almeida, ...
Ecological Modelling 366, 15-26, 2017
502017
Influence of Global Navigation Satellite System errors in positioning inventory plots for tree-height distribution studies
F Mauro, R Valbuena, JA Manzanera, A García-Abril
Canadian journal of forest research 41 (1), 11-23, 2011
502011
Remote sensing estimates and measures of uncertainty for forest variables at different aggregation levels
F Mauro, I Molina, A García‐Abril, R Valbuena, E Ayuga‐Téllez
Environmetrics 27 (4), 225-238, 2016
392016
Analysis of area level and unit level models for small area estimation in forest inventories assisted with LiDAR auxiliary information
F Mauro, VJ Monleon, H Temesgen, KR Ford
PloS one 12 (12), e0189401, 2017
372017
Estimating wildfire fuel consumption with multitemporal airborne laser scanning data and demonstrating linkage with MODIS-derived fire radiative energy
TR McCarley, AT Hudak, AM Sparks, NM Vaillant, AJH Meddens, L Trader, ...
Remote Sensing of Environment 251, 112114, 2020
322020
Partial least squares for discriminating variance components in global navigation satellite systems accuracy obtained under scots pine canopies
R Valbuena, F Mauro, R Rodríguez-Solano, JA Manzanera
Forest Science 58 (2), 139-153, 2012
272012
Analysis of spatial correlation in predictive models of forest variables that use LiDAR auxiliary information
F Mauro, VJ Monleon, H Temesgen, LA Ruiz
Canadian Journal of Forest Research 47 (6), 788-799, 2017
242017
Area-level analysis of forest inventory variables
S Magnussen, F Mauro, J Breidenbach, A Lanz, G Kändler
European journal of forest research 136, 839-855, 2017
212017
Estimation of changes of forest structural attributes at three different spatial aggregation levels in Northern California using multitemporal LiDAR
F Mauro, M Ritchie, B Wing, B Frank, V Monleon, H Temesgen, A Hudak
Remote Sensing 11 (8), 923, 2019
172019
Regional modeling of forest fuels and structural attributes using airborne laser scanning data in Oregon
F Mauro, AT Hudak, PA Fekety, B Frank, H Temesgen, DM Bell, ...
Remote Sensing 13 (2), 261, 2021
142021
Prediction of diameter distributions and tree-lists in southwestern Oregon using LiDAR and stand-level auxiliary information
F Mauro, B Frank, VJ Monleon, H Temesgen, KR Ford
Canadian Journal of Forest Research 49 (7), 775-787, 2019
142019
Global beta diversity patterns of microbial communities in the surface and deep ocean
E Villarino, JR Watson, G Chust, AJ Woodill, B Klempay, B Jonsson, ...
Global Ecology and Biogeography 31 (11), 2323-2336, 2022
132022
LIDAR: Aplicación práctica al inventario forestal
D García, M Godino, F Mauro
Editorial académica española 10 (3659009555), 2012
132012
Estimación de variables de interés forestal basada en datos lidar en el monte número 117 del CUP Término municipal de Cuenca
D García, S De Miguel, F Gutierrez, D García
Escuela Universitaria de Ingeniería Técnica Forestal-Universidad politécnica …, 2010
132010
Model-based estimation of forest inventory attributes using lidar: A comparison of the area-based and semi-individual tree crown approaches
B Frank, F Mauro, H Temesgen
Remote Sensing 12 (16), 2525, 2020
122020
Lidar and true-orthorectification of infrared aerial imagery of high Pinus sylvestris forest in mountainous relief.
R Valbuena, T Fernández de Sevilla, F Mauro, C Pascual, A García-Abril, ...
112008
Using Fay-Herriot models and variable radius plot data to develop a stand-level inventory and update a prior inventory in the Western Cascades, Oregon, USA.
H Temesgen, F Mauro, AT Hudak, B Frank, V Monleon, P Fekety, ...
Frontiers in Forests and Global Change Forest Management, 2021
92021
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