| Estimation of soybean yield from machine learning techniques and multispectral RPAS imagery FC Eugenio, M Grohs, LP Venancio, M Schuh, EL Bottega, R Ruoso, ... Remote Sensing Applications: Society and Environment 20, 100397, 2020 | 41 | 2020 |
| Remotely piloted aircraft systems and forests: a global state of the art and future challenges FC Eugenio, CT Schons, CL Mallmann, MS Schuh, P Fernandes, ... Canadian journal of forest research 50 (8), 705-716, 2020 | 29 | 2020 |
| Modeling and detection of invasive trees using UAV image and machine learning in a subtropical forest in Brazil SDP da Silva, FC Eugenio, RA Fantinel, L de Paula Amaral, ... Ecological Informatics 74, 101989, 2023 | 20 | 2023 |
| Remotely Piloted Aircraft Systems (RPAS) and machine learning: A review in the context of forest science F Coelho Eugenio, TL Badin, P Fernandes, CL Mallmann, C Schons, ... International Journal of Remote Sensing 42 (21), 8207-8235, 2021 | 16 | 2021 |
| Índice de vegetação por diferença normalizada para caracterização da dinâmica florestal no parque estadual Quarta Colônia, estado do Rio Grande do Sul-Brasil CL Mallmann, DA Prado, W Pereira Filho Revista Brasileira de Geografia Física, Recife 8 (5), 1454-1469, 2015 | 16 | 2015 |
| Vegetation index based in unmanned aerial vehicle (UAV) to improve the management of invasive plants in Protected Areas, Southern Brazil CL Mallmann, AF Zaninni, W Pereira Filho 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS), 66-69, 2020 | 15 | 2020 |
| Índice de vegetação por diferença normalizada para a caracterização da dinâmica florestal no Parque Estadual Quarta Colônia, estado do Rio Grande do Sul-Brasil DA Prado, CL Mallmann, W Pereira Filho Revista Brasileira de Geografia Física, Recife 8 (5), 1454-149, 2015 | 7 | 2015 |
| Estimated flooded rice grain yield and nitrogen content in leaves based on RPAS images and machine learning FC Eugenio, M Grohs, M Schuh, LP Venancio, C Schons, TL Badin, ... Field Crops Research 292, 108823, 2023 | 6 | 2023 |
| Flooded rice variables from high-resolution multispectral images and machine learning algorithms FC Eugenio, M Grohs, MS Schuh, LP Venancio, C Schons, TL Badin, ... Remote Sensing Applications: Society and Environment 31, 100998, 2023 | 3 | 2023 |
| Leaf-Level Field Spectroscopy to Discriminate Invasive Species (Psidium guajava L. and Hovenia dulcis Thunb.) from Native Tree Species in the Southern … CL Mallmann, W Pereira Filho, JBB Dreyer, LA Tabaldi, FM Durgante Remote Sensing 15 (3), 791, 2023 | 3 | 2023 |
| Remote sensing in the leaf spectral characterization of the Hesperozygis ringens, an endangered species CG Pinheiro, CL Mallmann, W Pereira Filho, BM Heinzmann Scientia Agraria Paranaensis, 212-215, 2022 | 1 | 2022 |
| Identification of invasive trees in a Brazilian subtropical forest using remotely piloted aircraft systems and machine learning SDP da Silva, FC Eugenio, RA Fantinel, LP Amaral, CL Mallmann, ... Journal of Applied Remote Sensing 17 (3), 034514-034514, 2023 | | 2023 |
| IDENTIFICAÇÃO DA ESPÉCIE INVASORA Hovenia dulcis (Thunb.) EM UMA UNIDADE DE CONSERVAÇÃO COM O USO DE AERONAVE REMOTAMENTE PILOTADA SDP da Silva, FC Eugenio, RA Fantinel, CL MALLMANN, FD dos Santos Galoá, 2022 | | 2022 |
| Influence of flight hours on spectral behavior of rice (Oryza Sativa L.) and soybean (Glycine Max L.) cultivars in images obtained by remotely piloted aircraft system FC Eugenio, M Grohs, CL Mallmann, CT Schons, MS Schuh, P Fernandes, ... Journal of Applied Remote Sensing 15 (4), 044505-044505, 2021 | | 2021 |
| Espectroscopia de campo para a discriminação de espécies exóticas invasoras e nativas em floresta subtropical CL Mallmann Universidade Federal de Santa Maria, 2021 | | 2021 |
