Unmanned airborne vehicle - based 4D remote sensing for mapping Rain Forest biodiversity and its change in Brazil (UAV_4D_Bio)

• Grant number: 13/50426-4
• Support type: Regular Research Grants
• Duration: January 01, 2014 - December 31, 2017
• Field of knowledge: Physical Sciences and Mathematics - Geosciences - Geodesy
• Cooperation agreement: AKA
• Principal Investigator: Antonio Maria Garcia Tommaselli
• Grantee: Antonio Maria Garcia Tommaselli
• Principal investigator abroad: Juha Hyyppa
• Institution abroad: Finnish Geospatial Research Institute (FGI), Finland
• Home Institution: Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil

Abstract

This project aims to appropriate and adapt knowledge and technological resources already invested in forested areas of Finland for biomass estimation in reforestation areas in the Atlantic Tropical Forest in São Paulo State. A major problem for the recovery and maintenance of biodiversity in remnants of the Atlantic Forest in São Paulo State lies in effective implementation of ecological corridor features supporting adequate gene flow between these fragments. Brazilian law provides that recovery of Permanent Preservation Areas must include coastal areas of rivers and streams. The Prosecutor of the State of São Paulo maintains a proactive stance so these border regions of the drainage network are effectively recovered, but a suitable solution is required to perform the monitoring of the spatiotemporal evolution of reforestation deployed. It is hoped that an approach based on remote sensing hyperspectral images and laser scan data, taken by UAV platforms, may constitute adequate source of data for monitoring the increased biomass in areas of forest recovery high degree of biodiversity, Accordingly, the transfer of a technology successful in temperate forests should enable the training of qualified human resources for the integration of hyperspectral imaging system embedded in UAV by monitoring the increase in biomass in forested areas of the interior of the Atlantic. The partnership with the team at FGI (Finnish Geodetic Institute) is strategic for* this purpose, since it will enable the exchange of experiences regarding the remote monitoring of forested areas in different geographical contexts (Finland and Brazil). (AU)

Scientific publications

(25)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

MIYOSHI, GABRIELA TAKAHASHI; ARRUDA, MAURO DOS SANTOS; OSCO, LUCAS PRADO; MARCATO JUNIOR, JOSE; GONCALVES, DIOGO NUNES; IMAI, NILTON NOBUHIRO; GARCIA TOMMASELLI, ANTONIO MARIA; HONKAVAARA, EIJA; GONCALVES, WESLEY NUNES. A Novel Deep Learning Method to Identify Single Tree Species in UAV-Based Hyperspectral Images. REMOTE SENSING, v. 12, n. 8 APR 2 2020. Web of Science Citations: 1.

COELHO DO CARMO, ALISSON FERNANDO; RIBEIRO BERNARDO, NARIANE MARSELHE; IMAI, NILTON NOBUHIRO; SHIMABUKURO, MILTON HIROKAZU. Improving the empirical line method applied to hyperspectral inland water images by combining reference targets and in situ water measurements. REMOTE SENSING LETTERS, v. 11, n. 2, p. 186-194, FEB 1 2020. Web of Science Citations: 0.

MIYOSHI, GABRIELA TAKAHASHI; IMAI, NILTON NOBUHIRO; GARCIA TOMMASELLI, ANTONIO MARIA; ANTUNES DE MORAES, MARCUS VINICIUS; HONKAVAARA, EIJA. Evaluation of Hyperspectral Multitemporal Information to Improve Tree Species Identification in the Highly Diverse Atlantic Forest. REMOTE SENSING, v. 12, n. 2 JAN 2 2020. Web of Science Citations: 2.

SOTHE, C.; DE ALMEIDA, C. M.; SCHIMALSKI, M. B.; LA ROSA, L. E. C.; CASTRO, J. D. B.; FEITOSA, R. Q.; DALPONTE, M.; LIMA, C. L.; LIESENBERG, V.; MIYOSHI, G. T.; TOMMASELLI, A. M. G. Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using hyperspectral and photogrammetric data. GIScience & Remote Sensing, v. 57, n. 3 JAN 2020. Web of Science Citations: 0.

BERVEGLIERI, ADILSON; GARCIA TOMMASELLI, ANTONIO MARIA; SANTOS, LUCAS DIAS; HONKAVAARA, EIJA. Bundle Adjustment of a Time-Sequential Spectral Camera Using Polynomial Models. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v. 57, n. 11, p. 9252-9263, NOV 2019. Web of Science Citations: 0.

MACHADO, MARCELA DO VALLE; GARCIA TOMMASELLI, ANTONIO MARIA; TORRES, FERNANDA MAGRI; CAMPOS, MARIANA BATISTA. Postprocessing Synchronization of a Laser Scanning System Aboard a UAV. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, v. 85, n. 10, p. 753-763, OCT 2019. Web of Science Citations: 0.

GARCIA TOMMASELLI, ANTONIO MARIA; SANTOS, LUCAS DIAS; DE OLIVEIRA, RAQUEL ALVES; BERVEGLIERI, ADILSON; IMAI, NILTON NOBUHIRO; HONKAVAARA, EIJA. Refining the Interior Orientation of a Hyperspectral Frame Camera With Preliminary Bands Co-Registration. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 12, n. 7, SI, p. 2097-2106, JUL 2019. Web of Science Citations: 0.

CAMPOS, MARIANA BATISTA; GARCIA TOMMASELLI, ANTONIO MARIA; CASTANHEIRO, LETICIA FERRARI; OLIVEIRA, RAQUEL ALVES; HONKAVAARA, EIJA. A Fisheye Image Matching Method Boosted by Recursive Search Space for Close Range Photogrammetry. REMOTE SENSING, v. 11, n. 12 JUN 2 2019. Web of Science Citations: 1.

SOTHE, CAMILE; DALPONTE, MICHELE; DE ALMEIDA, CLAUDIA MARIA; SCHIMALSKI, MARCOS BENEDITO; LIMA, CARLA LUCIANE; LIESENBERG, VERALDO; MIYOSHI, GABRIELA TAKAHASHI; GARCIA TOMMASELLI, ANTONIO MARIA. Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data. REMOTE SENSING, v. 11, n. 11 JUN 1 2019. Web of Science Citations: 2.

BERVEGLIERI, ADILSON; TOMMASELLI, ANTONIO MARIA GARCIA. Geometric Filtering of Matches Between Points in Bands of Hyperspectral Cubes. IEEE Geoscience and Remote Sensing Letters, v. 16, n. 3, p. 492-496, MAR 2019. Web of Science Citations: 0.

OLIVEIRA, RAQUEL A.; TOMMASELLI, ANTONIO M. G.; HONKAVAARA, EIJA. Generating a hyperspectral digital surface model using a hyperspectral 2D frame camera. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v. 147, p. 345-360, JAN 2019. Web of Science Citations: 5.

BERVEGLIERI, ADILSON; TOMMASELLI, ANTONIO M. G. Reconstruction of Cylindrical Surfaces Using Digital Image Correlation. SENSORS, v. 18, n. 12 DEC 2018. Web of Science Citations: 0.

BERVEGLIERI, ADILSON; IMAI, NILTON N.; TOMMASELLI, ANTONIO M. G.; CASAGRANDE, BALTAZAR; HONKAVAARA, EIJA. Successional stages and their evolution in tropical forests using multi-temporal photogrammetric surface models and superpixels. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v. 146, p. 548-558, DEC 2018. Web of Science Citations: 2.

TORRES, FERNANDA MAGRI; GARCIA TOMMASELLI, ANTONIO MARIA. A LIGHTWEIGHT UAV-BASED LASER SCANNING SYSTEM FOR FOREST APPLICATION. Bol. Ciênc. Geod., v. 24, n. 3, p. 318-334, JUL-SEP 2018. Web of Science Citations: 1.

CAMPOS, MARIANA BATISTA; GARCIA TOMMASELLI, ANTONIO MARIA; MARCATO JUNIOR, JOSE; HONKAVAARA, EIJA. Geometric model and assessment of a dual-fisheye imaging system. PHOTOGRAMMETRIC RECORD, v. 33, n. 162, p. 243-263, JUN 2018. Web of Science Citations: 4.

GARCIA TOMMASELLI, ANTONIO MARIA; BERVEGLIERI, ADILSON. MEASURING PHOTOGRAMMETRIC CONTROL TARGETS IN LOW CONTRAST IMAGES. Bol. Ciênc. Geod., v. 24, n. 2, p. 171-185, APR-JUN 2018. Web of Science Citations: 0.

CAMPOS, MARIANA BATISTA; GARCIA TOMMASELLI, ANTONIO MARIA; HONKAVAARA, EIJA; PROL, FABRICIO DOS SANTOS; KAARTINEN, HARRI; EL ISSAOUI, AIMAD; HAKALA, TEEMU. A Backpack-Mounted Omnidirectional Camera with Off-the-Shelf Navigation Sensors for Mobile Terrestrial Mapping: Development and Forest Application. SENSORS, v. 18, n. 3 MAR 2018. Web of Science Citations: 7.

ÉRIKA AKEMI SAITO; MORIYA; NILTON NOBUHIRO IMAI; ANTONIO MARIA GARCIA TOMMASELLI. A STUDY ON THE EFFECTS OF VIEWING ANGLE VARIATION IN SUGARCANE RADIOMETRIC MEASURES. Bol. Ciênc. Geod., v. 24, n. 1, p. -, Mar. 2018.

SAITO MORIYA, ERIKA AKEMI; IMAI, NILTON NOBUHIRO; GARCIA TOMMASELLI, ANTONIO MARIA. A STUDY ON THE EFFECTS OF VIEWING ANGLE VARIATION IN SUGARCANE RADIOMETRIC MEASURES. Bol. Ciênc. Geod., v. 24, n. 1, p. 85-97, JAN-MAR 2018. Web of Science Citations: 0.

MIYOSHI, GABRIELA TAKAHASHI; IMAI, NILTON NOBUHIRO; GARCIA TOMMASELLI, ANTONIO MARIA; HONKAVAARA, EIJA; NASI, ROOPE; SAITO MORIYA, ERIKA AKEMI. Radiometric block adjustment of hyperspectral image blocks in the Brazilian environment. International Journal of Remote Sensing, v. 39, n. 15-16, SI, p. 4910-4930, 2018. Web of Science Citations: 8.

BERVEGLIERI, ADILSON; TOMMASELLI, ANTONIO M. G.; LIANG, XINLIAN; HONKAVAARA, EIJA. Vertical Optical Scanning with Panoramic Vision for Tree Trunk Reconstruction. SENSORS, v. 17, n. 12 DEC 2017. Web of Science Citations: 2.

BERVEGLIERI, ADILSON; TOMMASELLI, ANTONIO M. G. Automatic Measurement of Control Points for Aerial Image Orientation. PHOTOGRAMMETRIC RECORD, v. 32, n. 158, p. 141-159, JUN 2017. Web of Science Citations: 0.

MORIYA, ERIKA AKEMI SAITO; IMAI, NILTON NOBUHIRO; TOMMASELLI, ANTONIO MARIA GARCIA; MIYOSHI, GABRIELA TAKAHASHI. Mapping Mosaic Virus in Sugarcane Based on Hyperspectral Images. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 10, n. 2, p. 740-748, FEB 2017. Web of Science Citations: 10.

BERVEGLIERI, ADILSON; TOMMASELLI, ANTONIO; LIANG, XINLIAN; HONKAVAARA, EIJA. Photogrammetric measurement of tree stems from vertical fisheye images. SCANDINAVIAN JOURNAL OF FOREST RESEARCH, v. 32, n. 8, p. 737-747, 2017. Web of Science Citations: 6.

DE OLIVEIRA, RAQUEL A.; TOMMASELLI, ANTONIO M. G.; HONKAVAARA, EIJA. Geometric Calibration of a Hyperspectral Frame Camera. PHOTOGRAMMETRIC RECORD, v. 31, n. 155, p. 325-347, SEP 2016. Web of Science Citations: 10.