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 | 130 | 2013 |
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 | 125 | 2016 |
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 | 72 | 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 | 66 | 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 | 57 | 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 | 41 | 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 | 37 | 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 | 35 | 2007 |
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 | 33 | 2016 |
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 | 29 | 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 | 27 | 2013 |
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 | 23 | 2019 |
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 | 20 | 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 | 16 | 2018 |
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 | 15 | 2015 |
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 | 12 | 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 | 12 | 2019 |
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 | 12 | 2018 |
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 | 12 | 2010 |
Evaluating moisture and geometry effects on L-band SAR classification performance over a tropical rain forest environment V Liesenberg, CR de Souza Filho, R Gloaguen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 11 | 2016 |