M. Ferreira

发表

Individual tree crown delineation in a highly diverse tropical forest using very high resolution satellite images

O. Phillips, Y. Shimabukuro, L. Aragão, 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

Tree species classification in tropical forests using visible to shortwave infrared WorldView-3 images and texture analysis

Y. Shimabukuro, L. Aragão, C. R. S. Filho, 2019, ISPRS Journal of Photogrammetry and Remote Sensing.

Mapping tree species in tropical seasonal semi-deciduous forests with hyperspectral and multispectral data

Y. Shimabukuro, M. Zortea, C. R. S. Filho, 2016 .

On the use of shortwave infrared for tree species discrimination in tropical semideciduous forest

J. Féret, Y. Shimabukuro, M. Zortea, 2015 .

Using the U‐net convolutional network to map forest types and disturbance in the Atlantic rainforest with very high resolution images

O. Phillips, L. Aragão, E. Gloor, 2019, Remote Sensing in Ecology and Conservation.

Retrieving structural and chemical properties of individual tree crowns in a highly diverse tropical forest with 3D radiative transfer modeling and imaging spectroscopy

Jean-Baptiste Féret, Jean-Philippe Gastellu-Etchegorry, Yosio Edemir Shimabukuro, 2018, Remote Sensing of Environment.

Spectral discrimination of Brazilian Atlantic Forest tree species

A. Grondona, S. Rolim, M. Ferreira, 2012 .

Deep learning-based individual tree crown delineation in mangrove forests using very-high-resolution satellite imagery

G. Lassalle, C. R. de Souza Filho, M. Ferreira, 2022, ISPRS Journal of Photogrammetry and Remote Sensing.

Advances in multi- and hyperspectral remote sensing of mangrove species: A synthesis and study case on airborne and multisource spaceborne imagery

G. Lassalle, C. R. de Souza Filho, M. Ferreira, 2023, ISPRS Journal of Photogrammetry and Remote Sensing.

Fusing multi-season UAS images with convolutional neural networks to map tree species in Amazonian forests

E. O. Figueiredo, C. Sanquetta, A. Corte, 2022, Ecol. Informatics.

Landsat-Based Land Use Change Assessment in the Brazilian Atlantic Forest: Forest Transition and Sugarcane Expansion

Matheus Pinheiro Ferreira, Diógenes Salas Alves, Alindomar Lacerda Silva, 2018, Remote. Sens..

Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion

Cibele Hummel do Amaral, P. Meli, E. Broadbent, 2021 .

Individual tree detection and species classification of Amazonian palms using UAV images and deep learning

Evandro Orfanó Figueiredo, E. O. Figueiredo, Matheus Pinheiro Ferreira, 2020, Forest Ecology and Management.

Forest dynamics and land-use transitions in the Brazilian Atlantic Forest: the case of sugarcane expansion

Y. Shimabukuro, M. Ferreira, D. Alves, 2015, Regional Environmental Change.

Tree Crown Delineation Algorithm Based on a Convolutional Neural Network

Ricardo Dalagnol, Elcio Hideiti Shiguemori, Haroldo F. de Campos Velho, 2020, Remote. Sens..

Large scale multi-layer fuel load characterization in tropical savanna using GEDI spaceborne lidar data

Cibele Hummel do Amaral, Gustavo Eduardo Marcatti, E. Broadbent, 2022, Remote Sensing of Environment.

Retrieving geological units with unsupervised clustering of gamma-ray spectrometry data

Jessica Derkacz Weihermann, Matheus Pinheiro Ferreira, Luís Gustavo de Castro, 2021 .

A supervised approach for simultaneous segmentation and classification of remote sensing images

Maciel Zortea, Matheus Pinheiro Ferreira, Daniel Capella Zanotta, 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

Analyzing the spectral variability of tropical tree species using hyperspectral feature selection and leaf optical modeling

Yosio Edemir Shimabukuro, Matheus Pinheiro Ferreira, Silvia Beatriz Alves Rolim, 2013 .

Fusing Sentinel-1 and Sentinel-2 Images for Deforestation Detection in the Brazilian Amazon Under Diverse Cloud Conditions

R. Feitosa, C. Almeida, M. Ferreira, 2023, IEEE Geoscience and Remote Sensing Letters.

Automatic tree crown delineation in tropical forest using hyperspectral data

Leila Maria Garcia Fonseca, Thales Sehn Korting, Maciel Zortea, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Deep learning-based tree species mapping in a highly diverse tropical urban setting

Raul Queiroz Feitosa, P. N. Happ, Laura Elena Cué La Rosa, 2021 .

Accurate mapping of Brazil nut trees (Bertholletia excelsa) in Amazonian forests using WorldView-3 satellite images and convolutional neural networks

Rodolfo G. Lotte, Matheus Pinheiro Ferreira, Adam R. Benjamin, 2021, Ecol. Informatics.

Fusion of Lidar and Hyperspectral Data from Drones for Ecological Questions: The Gatoreye Atlantic Forest Restoration Case Study

Danilo Roberti Alves de Almeida, Pedro Henrique Santin Brancalion, Matheus Pinheiro Ferreira, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Post-Hurricane Damage Severity Classification at the Individual Tree Level Using Terrestrial Laser Scanning and Deep Learning

E. Broadbent, Carine Klauberg, Ricardo Dalagnol, 2023, Remote. Sens..

Forest landscape restoration: SPECTRAL behavior and diversity of tropical tree cover classes

P. Brancalion, J. Féret, P. Molin, 2022, Remote Sensing Applications: Society and Environment.