| 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 | 143 | 2017 |
| 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 | 116 | 2019 |
| 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 | 111 | 2020 |
| Is quorum sensing interference a viable alternative to treat Pseudomonas aeruginosa infections? R García-Contreras Frontiers in Microbiology 7, 212838, 2016 | 92 | 2016 |
| 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 | 48 | 2020 |
| Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data LEC La Rosa, C Sothe, RQ Feitosa, CM de Almeida, MB Schimalski, ... ISPRS Journal of Photogrammetry and Remote Sensing 179, 35-49, 2021 | 33 | 2021 |
| Avaliação da restauração florestal de uma APP degradada em Santa Catarina CCC Rech, AC Silva, P Higuchi, MB Schimalski, F Pscheidt, AB Schmidt, ... Floresta e Ambiente 22, 194-203, 2015 | 26 | 2015 |
| A comparison of machine and deep-learning algorithms applied to multisource data for a subtropical forest area classification C Sothe, CM De Almeida, MB Schimalski, V Liesenberg, LEC La Rosa, ... International journal of remote sensing 41 (5), 1943-1969, 2020 | 24 | 2020 |
| Estrutura e estratégias de dispersão do componente arbóreo de uma floresta subtropical ao longo de uma topossequência no Alto-Uruguai K Souza, CC Souza, MG Rosa, AP Cruz, CL Lima, JO Silva, LC Lazzarin, ... Scientia forestalis 43 (106), 321-332, 2015 | 22 | 2015 |
| Abordagens para classificação do estádio sucessional da vegetação do parque nacional de são Joaquim empregando imagens landsat-8 e rapideye C Sothe, V Liesenberg, CM Almeida, MB Schimalski Boletim de Ciências Geodésicas 23, 389-404, 2017 | 21 | 2017 |
| NMR metabolite profiles in male meat-eaters, fish-eaters, vegetarians and vegans, and comparison with MS metabolite profiles JA Schmidt, GK Fensom, S Rinaldi, A Scalbert, MJ Gunter, MV Holmes, ... Metabolites 11 (2), 121, 2021 | 14 | 2021 |
| Partição de nicho por grupos funcionais de espécies arbóreas em uma floresta subtropical K Souza, P Higuchi, AC Silva, MB Schimalski, R Loebens, F Buzzi, ... Rodriguésia 68, 1165-1175, 2017 | 12 | 2017 |
| Benefits of combining ALOS/PALSAR-2 and Sentinel-2A data in the classification of land cover classes in the Santa Catarina southern Plateau JS Costa, V Liesenberg, MB Schimalski, RV Sousa, LJ Biffi, AR Gomes, ... Remote Sensing 13 (2), 229, 2021 | 10 | 2021 |
| Evaluating a convolutional neural network for feature extraction and tree species classification using uav-hyperspectral images C Sothe, LEC La Rosa, CM De Almeida, A Gonsamo, MB Schimalski, ... ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020 | 10 | 2020 |
| Determinação do rendimento de matéria-prima de Eucalyptus benthamii Maiden & Cambage por meio de diferentes métodos de desdobro AB Cunha, MA Brand, RL Simão, SA Martins, RAM Anjos, PG Surdi, ... Revista Árvore 39, 733-741, 2015 | 9 | 2015 |
| Zoneamento do risco de incêndio florestal para o Parque Nacional de São Joaquim–SC MTRN de Omena, MH Taniwaki, MB Schimalski, PS Santos, EK Araki Biodiversidade Brasileira 6 (2), 173-186, 2016 | 8 | 2016 |
| Classificação hierárquica e fuzzy de imagens de alta resolução RM Gonçalves, JBR Cortes, MAR SCHIMIDT, MB Schimalski Anais XIII Simpósio Brasileiro de Sensoriamento Remoto 1, 547-554, 2007 | 7 | 2007 |
| Detecção da espécie exótica invasora Hovenia dulcis por meio de classificação supervisionada CL Lima, FH de Oliveira, C Sothe, FE Alves, MB Schimalski, GO Silva, ... Brazilian Journal of Development 7 (5), 44110-44127, 2021 | 6 | 2021 |
| 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, LE La Rosa, JD Castro, ... | 6 | 2020 |
| Mapeamento do saldo de radiação no Parque Nacional de São Joaquim–SC AB Debastiani, EAS Sá, RPM Neto, MB Schimalski Advances in Forestry Science 5 (3), 363-367, 2018 | 6 | 2018 |
