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Veraldo Liesenberg
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2020 – today
- 2024
- [j30]Bill Herbert Ziegelmaier Neto, Marcos Benedito Schimalski
, Veraldo Liesenberg
Combining LiDAR and Spaceborne Multispectral Data for Mapping Successional Forest Stages in Subtropical Forests. Remote. Sens. 16(9): 1523 (2024) - [j29]Fábio Marcelo Breunig
Monitoring Cover Crop Biomass in Southern Brazil Using Combined PlanetScope and Sentinel-1 SAR Data. Remote. Sens. 16(15): 2686 (2024) - [c7]Leila Lucia Camintia, Veraldo Liesenberg, Andre Felipe Hess, Fabio Henrique De Barros, Marcos Benedito Schimalski, Fábio Marcelo Breunig, Leonardo Josoé Biffi:
Corn phenology and productivity with PlanetScope images. Agro-Geoinformatics 2024: 1-4 - [c6]Veraldo Liesenberg, Marchante Olimpio Assura Ambrósio, Gustavo Bassoli Branco, Vitoria Regina Vinciguera, Marcos Benedito Schimalski, Michel T. R. N. de Omena:
Mapping Burned Scars over Grasslands using PlanetScope Images in Southern Brazil. Agro-Geoinformatics 2024: 1-4 - 2023
- [j28]Sílvio Luís Rafaeli Neto, Vanessa Jutel dos Santos, Emili Louise Diconcili Schutz, Leticia Margarete de Moliner, Cristiane Gracieli Kloth
Application of Hydro-Based Morphological Models for Environmental Assessment of Watersheds. ISPRS Int. J. Geo Inf. 12(8): 314 (2023) - [j27]Arsalan Ahmed Othman
Insights for Estimating and Predicting Reservoir Sedimentation Using the RUSLE-SDR Approach: A Case of Darbandikhan Lake Basin, Iraq-Iran. Remote. Sens. 15(3): 697 (2023) - 2022
- [j26]Leandro Higa, José Marcato Junior
Active Fire Mapping on Brazilian Pantanal Based on Deep Learning and CBERS 04A Imagery. Remote. Sens. 14(3): 688 (2022) - [c5]Veraldo Liesenberg:
Mapping Tropical Successional Forest Stages using Multifrequency Sar. IGARSS 2022: 5638-5641 - [c4]Veraldo Liesenberg:
Characterizing Biophysical Attributes in Tropical Secondary Forest Environments with Multitemporal Hyperspectral Images. IGARSS 2022: 5656-5659 - 2021
- [j25]Xin Yao
Average-DInSAR method for unstable escarpments detection induced by underground coal mining. Int. J. Appl. Earth Obs. Geoinformation 103: 102489 (2021) - [j24]José Augusto Correa Martins
Machine learning and SLIC for Tree Canopies segmentation in urban areas. Ecol. Informatics 66: 101465 (2021) - [j23]Arsalan Ahmed Othman
New Insight on Soil Loss Estimation in the Northwestern Region of the Zagros Fold and Thrust Belt. ISPRS Int. J. Geo Inf. 10(2): 59 (2021) - [j22]Leonardo Josoé Biffi
ATSS Deep Learning-Based Approach to Detect Apple Fruits. Remote. Sens. 13(1): 54 (2021) - [j21]Jessica da Silva Costa
Benefits of Combining ALOS/PALSAR-2 and Sentinel-2A Data in the Classification of Land Cover Classes in the Santa Catarina Southern Plateau. Remote. Sens. 13(2): 229 (2021) - [j20]José Augusto Correa Martins
Semantic Segmentation of Tree-Canopy in Urban Environment with Pixel-Wise Deep Learning. Remote. Sens. 13(16): 3054 (2021) - 2020
- [j19]Arsalan Ahmed Othman
GIS-Based Modeling for Selection of Dam Sites in the Kurdistan Region, Iraq. ISPRS Int. J. Geo Inf. 9(4): 244 (2020) - [j18]Lucas Prado Osco
A Machine Learning Framework to Predict Nutrient Content in Valencia-Orange Leaf Hyperspectral Measurements. Remote. Sens. 12(6): 906 (2020) - [j17]Natalia Cristina Wiederkehr
Discriminating Forest Successional Stages, Forest Degradation, and Land Use in Central Amazon Using ALOS/PALSAR-2 Full-Polarimetric Data. Remote. Sens. 12(21): 3512 (2020) - [j16]Danielle Elis Garcia Furuya
A Machine Learning Approach for Mapping Forest Vegetation in Riparian Zones in an Atlantic Biome Environment Using Sentinel-2 Imagery. Remote. Sens. 12(24): 4086 (2020) - [j15]Daliana Lobo Torres
Applying Fully Convolutional Architectures for Semantic Segmentation of a Single Tree Species in Urban Environment on High Resolution UAV Optical Imagery. Sensors 20(2): 563 (2020) - [i1]Lucas Prado Osco, Mauro dos Santos de Arruda, Diogo Nunes Gonçalves, Alexandre Dias, Juliana Batistoti, Maurício de Souza, Felipe David Georges Gomes, Ana Paula Marques Ramos, Lúcio André de Castro Jorge, Veraldo Liesenberg, Jonathan Li, Lingfei Ma, José Marcato Junior, Wesley Nunes Gonçalves:
A CNN Approach to Simultaneously Count Plants and Detect Plantation-Rows from UAV Imagery. CoRR abs/2012.15827 (2020)
2010 – 2019
- 2019
- [j14]Flávia de Souza Mendes
Optical and SAR Remote Sensing Synergism for Mapping Vegetation Types in the Endangered Cerrado/Amazon Ecotone of Nova Mutum - Mato Grosso. Remote. Sens. 11(10): 1161 (2019) - [j13]Camile Sothe
Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data. Remote. Sens. 11(11): 1338 (2019) - [j12]Juliana Batistoti
Estimating Pasture Biomass and Canopy Height in Brazilian Savanna Using UAV Photogrammetry. Remote. Sens. 11(20): 2447 (2019) - [j11]Arsalan Ahmed Othman
Application of DInSAR-PSI Technology for Deformation Monitoring of the Mosul Dam, Iraq. Remote. Sens. 11(22): 2632 (2019) - [j10]Lucas Prado Osco
Modeling Hyperspectral Response of Water-Stress Induced Lettuce Plants Using Artificial Neural Networks. Remote. Sens. 11(23): 2797 (2019) - [j9]Lucas Prado Osco
Predicting Canopy Nitrogen Content in Citrus-Trees Using Random Forest Algorithm Associated to Spectral Vegetation Indices from UAV-Imagery. Remote. Sens. 11(24): 2925 (2019) - [j8]Anderson Aparecido dos Santos
Assessment of CNN-Based Methods for Individual Tree Detection on Images Captured by RGB Cameras Attached to UAVs. Sensors 19(16): 3595 (2019) - [c3]David Robledo Di Martini, Veraldo Liesenberg, Everton Castelão Tetila, José Marcato Junior, Edson Takashi Matsubara, Henrique Lopes Siqueira, Amaury Antônio de Castro Junior
Machine Learning Applied to Uav Imagery in Precision Agriculture and Forest Monitoring in Brazililian Savanah. IGARSS 2019: 9364-9367 - 2018
- [j7]Luciana O. Pereira, Luiz F. A. Furtado, Evlyn Marcia Leão de Moraes Novo
Multifrequency and Full-Polarimetric SAR Assessment for Estimating Above Ground Biomass and Leaf Area Index in the Amazon Várzea Wetlands. Remote. Sens. 10(9): 1355 (2018) - [c2]Camile Sothe, Cláudia Maria de Almeida
Integration of Worldview-2 and Lidar Data to MAP a Subtropical Forest Area: Comparison of Machine Learning Algorithms. IGARSS 2018: 6207-6210 - 2017
- [j6]Camile Sothe
Evaluating Sentinel-2 and Landsat-8 Data to Map Sucessional Forest Stages in a Subtropical Forest in Southern Brazil. Remote. Sens. 9(8): 838 (2017) - 2016
- [j5]Veraldo Liesenberg
Evaluating Moisture and Geometry Effects on L-Band SAR Classification Performance Over a Tropical Rain Forest Environment. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(12): 5357-5368 (2016) - 2013
- [j4]Gaia Vaglio Laurin
Optical and SAR sensor synergies for forest and land cover mapping in a tropical site in West Africa. Int. J. Appl. Earth Obs. Geoinformation 21: 7-16 (2013) - [j3]Veraldo Liesenberg
Evaluating SAR polarization modes at L-band for forest classification purposes in Eastern Amazon, Brazil. Int. J. Appl. Earth Obs. Geoinformation 21: 122-135 (2013) - [j2]Hans-Dieter Viktor Boehm, Veraldo Liesenberg
Multi-Temporal Airborne LiDAR-Survey and Field Measurements of Tropical Peat Swamp Forest to Monitor Changes. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(3): 1524-1530 (2013)
2000 – 2009
- 2009
- [j1]Lênio Soares Galvão, Flávio Jorge Ponzoni, Veraldo Liesenberg
Possibilities of discriminating tropical secondary succession in Amazônia using hyperspectral and multiangular CHRIS/PROBA data. Int. J. Appl. Earth Obs. Geoinformation 11(1): 8-14 (2009) - [c1]Veraldo Liesenberg
The Contribution of CHRIS/PROBA Data for Tropical Peat Swamp Landscape Discrimination Purposes. IGARSS (2) 2009: 57-60
Coauthor Index
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