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1

AI4LUC: deep learning and automated mask labelling to suppo..:

de Souza Miranda, Mateus ; de Santiago Júnior, Valdivino Alexandre ; Körting, Thales Sehn..
Remote Sensing Letters. 15 (2024) 8 - p. 850-860 , 2024

Link: https://doi.org/10.1080/..

2

Contribution of time-series data cubes to classify urban ve..:

Adorno, Bruno Vargas ; Körting, Thales Sehn ; Amaral, Silvana
Urban Forestry & Urban Greening. 79 (2023) - p. 127817 , 2023

Link: https://doi.org/10.1016/..

3

Identification of coastal natural disasters using official ..:

Leal, Karine Bastos ; Robaina, Luís Eduardo de Souza ; Körting, Thales Sehn...
Natural Hazards. , 2023

Link: https://doi.org/10.1007/..

4

Identifying Precarious Settlements and Urban Fabric Typolog..:

dos Santos, Bruno Dias ; de Pinho, Carolina Moutinho Duque ; Oliveira, Gilberto Eidi Teramoto...
Remote Sensing. 14 (2022) 3 - p. 704 , 2022

Link: https://doi.org/10.3390/..

5

A High-Spatial Resolution Dataset and Few-shot Deep Learnin..:

, In: 2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI),

Miranda, Mateus De Souza ; Silva, Lucas Fernando Alvarenga e ; Santos, Samuel Felipe Dos... - p. 19-24 , 2022

Link: https://doi.org/10.1109/..

6

On a Data-Driven Approach for Detecting Disturbance in the ..:

Souza, Alana Almeida de ; Galvão, Lênio Soares ; Korting, Thales Sehn.
Remote Sensing. 13 (2021) 24 - p. 4959 , 2021

Link: https://doi.org/10.3390/..

7

A Framework to Automatic Detect Center Pivots Using Land Us..:

Rodrigues, Marcos Lima ; Körting, Thales Sehn ; Queiroz, Gilberto Ribeiro de
Revista Brasileira de Cartografia. 73 (2021) 4 - p. 1048-1070 , 2021

Link: https://doi.org/10.14393..

8

Deep Convolutional Neural Network for Classifying Satellite..:

, In: Computational Science and Its Applications – ICCSA 2021; Lecture Notes in Computer Science,

Miranda, Mateus de Souza ; de Santiago Jr, Valdivino Alexandre ; Körting, Thales Sehn.. - p. 519-530 , 2021

Link: https://doi.org/10.1007/..

9

Environmental Drivers of Water Use for Caatinga Woody Plant..:

Paloschi, Rennan A. ; Ramos, Desirée Marques ; Ventura, Dione J....
Remote Sensing. 13 (2020) 1 - p. 75 , 2020

Link: https://doi.org/10.3390/..

10

Assessment of TerraClass and MapBiomas data on legend and m..:

NEVES, Alana Kasahara ; KÖRTING, Thales Sehn ; FONSECA, Leila Maria Garcia.
Acta Amazonica. 50 (2020) 2 - p. 170-182 , 2020

Link: https://doi.org/10.1590/..

11

Burned Area Detection in the Brazilian Amazon using Spectra..:

Penha, Thales Vaz ; Körting, Thales Sehn ; Fonseca, Leila Maria Garcia...
Revista Brasileira de Cartografia. 72 (2020) 2 - p. 253-269 , 2020

Link: https://doi.org/10.14393..

12

Dynamics of savanna clearing and land degradation in the ne..:

Almeida de Souza, Alana ; Galvão, Lênio Soares ; Korting, Thales Sehn.
GIScience & Remote Sensing. 57 (2020) 7 - p. 965-984 , 2020

Link: https://doi.org/10.1080/..

13

Subpixel Analysis of MODIS Imagery Time Series using Transf..:

Moreira, Noeli Aline Particcelli ; Reis, Mariane Souza ; Körting, Thales Sehn...
Revista Brasileira de Cartografia. 72 (2020) 4 - p. 558-573 , 2020

Link: https://doi.org/10.14393..

14

Comparing Phenometrics Extracted From Dense Landsat-Like Im..:

, In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium,

Nascimento Bendini, Hugo do ; Maria Garcia Fonseca, Leila ; Schwieder, Marcel... - p. 469-472 , 2019

Link: https://doi.org/10.1109/..

15

Potential of Using Sentinel-1 Data to Distinguish Targets i..:

, In: Computational Science and Its Applications – ICCSA 2019; Lecture Notes in Computer Science,

Pletsch, Mikhaela Aloísia Jéssie Santos ; Körting, Thales Sehn ; de Oliveira, Willian Vieira... - p. 563-576 , 2019

Link: https://doi.org/10.1007/..

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