フォロー
Veraldo Liesenberg
Veraldo Liesenberg
確認したメール アドレス: udesc.br
タイトル
引用先
引用先
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
2202016
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
1822013
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
1452019
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
1412017
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
1142019
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
1092020
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
1032020
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
1012019
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
922007
A machine learning framework to predict nutrient content in valencia-orange leaf hyperspectral measurements
LP Osco, APM Ramos, MM Faita Pinheiro, ÉAS Moriya, NN Imai, ...
Remote Sensing 12 (6), 906, 2020
772020
A CNN approach to simultaneously count plants and detect plantation-rows from UAV imagery
LP Osco, MS de Arruda, DN Gonçalves, A Dias, J Batistoti, M de Souza, ...
ISPRS Journal of Photogrammetry and Remote Sensing 174, 1-17, 2021
732021
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
702013
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
652016
GIS-based modeling for selection of dam sites in the Kurdistan Region, Iraq
AA Othman, AF Al-Maamar, DAMA Al-Manmi, V Liesenberg, SE Hasan, ...
ISPRS International Journal of Geo-Information 9 (4), 244, 2020
572020
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, 1-11, 2018
542018
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
492009
ATSS deep learning-based approach to detect apple fruits
LJ Biffi, E Mitishita, V Liesenberg, AA Santos, DN Gonçalves, NV Estrabis, ...
Remote Sensing 13 (1), 54, 2020
472020
Optical and SAR remote sensing synergism for mapping vegetation types in the endangered Cerrado/Amazon ecotone of Nova Mutum—Mato Grosso
F de Souza Mendes, D Baron, G Gerold, V Liesenberg, S Erasmi
Remote Sensing 11 (10), 1161, 2019
432019
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
402016
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, 295-305, 2007
402007
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