Veraldo Liesenberg
Veraldo Liesenberg
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Discrimination of tropical forest types, dominant species, and mapping of functional guilds by hyperspectral and simulated multispectral Sentinel-2 data
GV Laurin, N Puletti, W Hawthorne, V Liesenberg, P Corona, D Papale, ...
Remote Sensing of Environment 176, 163-176, 2016
Optical and SAR sensor synergies for forest and land cover mapping in a tropical site in West Africa
GV Laurin, V Liesenberg, Q Chen, L Guerriero, F Del Frate, A Bartolini, ...
International Journal of Applied Earth Observation and Geoinformation 21, 7-16, 2013
Variations in reflectance with seasonality and viewing geometry: implications for classification of Brazilian savanna physiognomies with MISR/Terra data
V Liesenberg, LS Galvão, FJ Ponzoni
Remote Sensing of Environment 107 (1-2), 276-286, 2007
Evaluating Sentinel-2 and Landsat-8 data to map sucessional forest stages in a subtropical forest in Southern Brazil
C Sothe, CM Almeida, V Liesenberg, MB Schimalski
Remote Sensing 9 (8), 838, 2017
Evaluating SAR polarization modes at L-band for forest classification purposes in Eastern Amazon, Brazil
V Liesenberg, R Gloaguen
International Journal of Applied Earth Observation and Geoinformation 21 …, 2013
Possibilities of discriminating tropical secondary succession in Amazônia using hyperspectral and multiangular CHRIS/PROBA data
LS Galvão, FJ Ponzoni, V Liesenberg, JR dos Santos
International Journal of Applied Earth Observation and Geoinformation 11 (1 …, 2009
A principal component approach for predicting the stem volume in Eucalyptus plantations in Brazil using airborne LiDAR data
CA Silva, C Klauberg, AT Hudak, LA Vierling, V Liesenberg, ...
Forestry: An International Journal of Forest Research 89 (4), 422-433, 2016
Assessment of CNN-based methods for individual tree detection on images captured by RGB cameras attached to UAVs
AA Santos, J Marcato Junior, MS Araújo, DR Di Martini, EC Tetila, ...
Sensors 19 (16), 3595, 2019
Object-oriented and pixel-based classification approaches to classify tropical successional stages using airborne high–spatial resolution images
GA Piazza, AC Vibrans, V Liesenberg, JC Refosco
GIScience & Remote Sensing 53 (2), 206-226, 2016
Análise da dinâmica sazonal e separabilidade espectral de algumas fitofisionomias do Cerrado com índices de vegetação dos sensores MODIS/TERRA e AQUA
V Liesenberg, FJ Ponzoni, LS Galvão
Revista Árvore 31 (2), 295-305, 2007
Retrieval of forest attributes in complex successional forests of Central Indonesia: Modeling and estimation of bitemporal data
A Wijaya, V Liesenberg, R Gloaguen
Forest Ecology and Management 259 (12), 2315-2326, 2010
Multi-temporal airborne LiDAR-survey and field measurements of tropical peat swamp forest to monitor changes
HDV Boehm, V Liesenberg, SH Limin
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013
Tree species classification in a highly diverse subtropical forest integrating UAV-based photogrammetric point cloud and hyperspectral data
C Sothe, M Dalponte, CM Almeida, MB Schimalski, CL Lima, ...
Remote Sensing 11 (11), 1338, 2019
Delineation of potential sites for rice cultivation through multi-criteria evaluation (MCE) using remote sensing and GIS
SMH Raza, SA Mahmood, AA Khan, V Liesenberg
International Journal of Plant Production 12 (1), 1-11, 2018
Applying fully convolutional architectures for semantic segmentation of a single tree species in urban environment on high resolution UAV optical imagery
D Lobo Torres, R Queiroz Feitosa, P Nigri Happ, L Elena Cué La Rosa, ...
Sensors 20 (2), 563, 2020
Predicting canopy nitrogen content in citrus-trees using random forest algorithm associated to spectral vegetation indices from UAV-imagery
L Prado Osco, AP Marques Ramos, D Roberto Pereira, ...
Remote Sensing 11 (24), 2925, 2019
Análise comparativa de classificadores digitais em imagens do Landsat-8 aplicados ao mapeamento temático
DFT Garofalo, CG Messias, V Liesenberg, ÉL Bolfe, MC Ferreira
Pesquisa Agropecuária Brasileira 50 (7), 593-604, 2015
Impact of multi-angular CHRIS/PROBA data on their empirical relationships with tropical forest biomass
FJ Ponzoni, LS Galvao, V Liesenberg, JR Santos
International Journal of Remote Sensing 31 (19), 5257-5273, 2010
Comparing the performance of ground filtering algorithms for terrain modeling in a forest environment using airborne LiDAR data
CA Silva, C Klauberg, ÂMK Hentz, APD Corte, U Ribeiro, V Liesenberg
Floresta e Ambiente 25 (2), 2018
Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using hyperspectral and …
C Sothe, CM De Almeida, MB Schimalski, LEC La Rosa, JDB Castro, ...
GIScience & Remote Sensing 57 (3), 369-394, 2020
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