Seuraa
Veraldo Liesenberg
Veraldo Liesenberg
Santa Catarina State University (UDESC)
Vahvistettu sähköpostiosoite verkkotunnuksessa udesc.br
Nimike
Viittaukset
Viittaukset
Vuosi
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
2362016
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
1962013
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
1762019
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
1602017
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
1452020
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
1372019
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
1352020
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
1342019
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
1062021
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
992020
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
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
822020
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
792013
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
682016
ATSS deep learning-based approach to detect apple fruits
LJ Biffi, E Mitishita, V Liesenberg, AA Santos, DN Goncalves, NV Estrabis, ...
Remote Sensing 13 (1), 54, 2020
672020
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
612018
Semantic segmentation of tree-canopy in urban environment with pixel-wise deep learning
JAC Martins, K Nogueira, LP Osco, FDG Gomes, DEG Furuya, ...
Remote Sensing 13 (16), 3054, 2021
552021
Large scale multi-layer fuel load characterization in tropical savanna using GEDI spaceborne lidar data
RV Leite, CA Silva, EN Broadbent, CH Do Amaral, V Liesenberg, ...
Remote Sensing of Environment 268, 112764, 2022
542022
Estimating pasture biomass and canopy height in Brazilian savanna using UAV photogrammetry
J Batistoti, J Marcato Junior, L Ítavo, E Matsubara, E Gomes, B Oliveira, ...
Remote Sensing 11 (20), 2447, 2019
522019
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
502009
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Artikkelit 1–20