Francisco Mauro
Francisco Mauro
Research Associate
Bestätigte E-Mail-Adresse bei oregonstate.edu
Titel
Zitiert von
Zitiert von
Jahr
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
96*2014
Accuracy and precision of GPS receivers under forest canopies in a mountainous environment
R Valbuena, F Mauro, RRS Suárez, JA Manzanera
Spanish Journal of Agricultural Research, 1047-1057, 2010
882010
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
442011
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
362011
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
312017
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
262016
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
212012
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
182017
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
172017
LIDAR: Aplicación práctica al inventario forestal
D García, M Godino, F Mauro
Editorial Academica Española 10 (3659009555), 2012
112012
Area-level analysis of forest inventory variables
S Magnussen, F Mauro, J Breidenbach, A Lanz, G Kändler
European journal of forest research 136 (5), 839-855, 2017
102017
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
72019
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, ...
Proc. 8th Int. Conf. LiDAR Appl. Forest Assess. Inventory SilviLaser, 17-19, 2008
72008
Estimación de variables de interés forestal basada en datos lidar en el monte número 117 del CUP Término municipal de Cuenca
D García, SM DE MIGUEL, FM GUTIERREZ, DG GARCÍA
Escuela Universitaria de Ingeniería Técnica Forestal-Universidad politécnica …, 2010
62010
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
52019
Comparison of Estimation Methods to Obtain Ideal Distribution of Forest Tree Height
JE Ayuga-Tellez, Esperanza and Mauro-Gutierrez, Francisco and Garcia-Abril ...
Comput. Electron. Agric. 108 (C), 191-199, 2014
52014
The challenge of estimating a residual spatial autocorrelation from forest inventory data
S Magnussen, J Breidenbach, F Mauro
Canadian Journal of Forest Research 47 (11), 1557-1566, 2017
42017
GPS admissible errors in positioning inventory plots for forest structure studies
F Mauro, R Valbuena, A García, J Manzanera
Proc IUFRO Division 4 meeting, Extending Forest Inventory and Monitoring …, 2009
42009
Comparison of sampling methods for estimation of nearest-neighbor index values
F Mauro, Z Haxtema, H Temesgen
Canadian Journal of Forest Research 47 (6), 703-715, 2017
32017
Using small area estimation and Lidar-derived variables for multivariate prediction of forest attributes
F Mauro, V Monleon, H Temesgen
In: Stanton, Sharon M.; Christensen, Glenn A., comps. 2015. Pushing …, 2015
32015
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