Functional diversity of intact and regenerating Amazon, Atlantic Forest, and Cerrado systems using hyperspectral imagery

• Grant number: 15/50484-0
• Support Opportunities: Research Grants - Young Investigators Grants
• Start date: October 01, 2016
• End date: September 30, 2021
• Field of knowledge: Physical Sciences and Mathematics - Geosciences
• Agreement: NERC, UKRI ; Newton Fund, with FAPESP as a partner institution in Brazil
• Principal Investigator: Fabien Hubert Wagner
• Grantee: Fabien Hubert Wagner
• Principal researcher abroad: Oliver Phillips
• Institution abroad: University of Leeds , England
• Host Institution: Fundação de Ciências, Aplicações e Tecnologia Espacial (FUNCATE). São José dos Campos , SP, Brazil
• City of the host institution: São José dos Campos
• Associated scholarship(s): 18/06072-7 - Automatic registration of high resolution UAV images with satellite images in tropical forests, BP.TT; 16/24977-1 - Measuring and mapping Atlantic Forest canopy foliar traits with hyperspectral images and radiative transfer modeling, BP.PD; 17/09353-4 - Characterization of functional diversity of Brazilian biomes from hyperspectral images, BP.TT; 16/17652-9 - Functional diversity of intact and regenerating Amazon, Atlantic Forest and Cerrado systems using hyperspectral imagery, BP.JP

Abstract

More specifically, the Young Investigator project will tackle the following questions across the three biomes: Can airborne spectroscopy from an unmanned aerial vehicle (UAV) adequately characterize canopy chemistry? Are ecosystem biogeochemical flows in plant matter identifiable in the hyperspectral images? To what extent can hyperspectral data of canopies be used to estimate biomass production and storage in intact versus regenerating vegetation? Da higher levels of diversity confer resilience to environmental disturbances? And, in combination with Landsat and MODIS images, to what extent are Amazon and Cerrado systems shifting? Our in-depth exploration of the potential of hyperspectral techniques is expected to provide new methods to describe and explore ecosystems services at larger scale, and their relationships with functional biodiversity. Give current lack of knowledge on the role of functional diversity in maintaining ecosystem services in the face of global change the project will substantially advance the state-of-the-art research for the Brazilian biomes. (AU)

Scientific publications

(22)

(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)

ARAGAO, LUIZ E. O. C.; ANDERSON, LIANA O.; FONSECA, MARISA G.; ROSAN, THAIS M.; VEDOVATO, LAURA B.; WAGNER, FABIEN H.; SILVA, CAMILA V. J.; SILVA JUNIOR, CELSO H. L.; ARAI, EGIDIO; AGUIAR, ANA P.; et al. 21st Century drought-related fires counteract the decline of Amazon deforestation carbon emissions. NATURE COMMUNICATIONS, v. 9, FEB 13 2018. (15/50484-0, 11/51841-0, 08/58120-3, 08/57719-9)

FERREIRA, MATHEUS PINHEIRO; WAGNER, FABIEN HUBERT; ARAGAO, LUIZ E. O. C.; SHIMABUKURO, YOSIO EDEMIR; DE SOUZA FILHO, CARLOS ROBERTO. Tree species classification in tropical forests using visible to shortwave infrared WorldView-3 images and texture analysis. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v. 149, p. 119-131, MAR 2019. (16/24977-1, 15/50484-0)

WAGNER, FABIEN H.; DALAGNOL, RICARDO; CASAPIA, XIMENA TAGLE; STREHER, ANNIA S.; PHILLIPS, OLIVER L.; GLOOR, EMANUEL; ARAGAO, LUIZ E. O. C.. Regional Mapping and Spatial Distribution Analysis of Canopy Palms in an Amazon Forest Using Deep Learning and VHR Images. REMOTE SENSING, v. 12, n. 14, JUL 2020. (16/17652-9, 13/50533-5, 15/50484-0, 19/09248-1, 15/22987-7)

BRAGA, JOSE R. G.; PERIPATO, VINICIUS; DALAGNOL, RICARDO; FERREIRA, MATHEUS P.; TARABALKA, YULIYA; ARAGAO, LUIZ E. O. C.; DE CAMPOS VELHO, HAROLDO E.; SHIGUEMORI, ELCIO H.; WAGNER, FABIEN H.. Tree Crown Delineation Algorithm Based on a Convolutional Neural Network. REMOTE SENSING, v. 12, n. 8, APR 2 2020. (16/17652-9, 18/06072-7, 15/22987-7, 18/15001-6, 15/50484-0)

WAGNER, FABIEN H.; DALAGNOL, RICARDO; TARABALKA, YULIYA; SEGANTINE, TASSIANA Y. F.; THOME, ROGERIO; HIRYE, MAYUMI C. M.. U-Net-Id, an Instance Segmentation Model for Building Extraction from Satellite Images-Case Study in the Joanopolis City, Brazil. REMOTE SENSING, v. 12, n. 10, MAY 2020. (16/17652-9, 15/50484-0, 15/22987-7)

PEREIRA, ERIC OLIVEIRA; WAGNER, FABIEN H.; KAMINO, LUCIANA HIROMI YOSHINO; DO CARMO, FLAVIO FONSECA. Mapping threatened canga ecosystems in the Brazilian savanna using U-Net deep learning segmentation and Sentinel-2 images: a first step toward conservation planning. Biota Neotropica, v. 23, n. 1, p. 13-pg., 2023-01-01. (15/50484-0)

WAGNER, FABIEN HUBERT; FERREIRA, MATHEUS PINHEIRO; SANCHEZ, ALBER; HIRYE, MAYUMI C. M.; ZORTEA, MACIEL; GLOOR, EMANUEL; PHILLIPS, OLIVER L.; DE SOUZA FILHO, CARLOS ROBERTO; SHIMABUKURO, YOSIO EDEMIR; ARAGAO, LUIZ E. O. C.. Individual tree crown delineation in a highly diverse tropical forest using very high resolution satellite images. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v. 145, n. B, p. 362-377, NOV 2018. (16/24977-1, 15/50484-0, 13/50533-5, 16/03397-7, 16/17652-9, 13/11589-5)

DALAGNOL, RICARDO; PHILLIPS, OLIVER L.; GLOOR, EMANUEL; GALVAO, LENIO S.; WAGNER, FABIEN H.; LOCKS, CHARTON J.; ARAGAO, LUIZ E. O. C.. Quantifying Canopy Tree Loss and Gap Recovery in Tropical Forests under Low-Intensity Logging Using VHR Satellite Imagery and Airborne LiDAR. REMOTE SENSING, v. 11, n. 7, APR 1 2019. (16/17652-9, 17/15257-8, 15/50484-0, 15/22987-7)

DALAGNOL, RICARDO; WAGNER, FABIEN H.; GALVAO, LENIO S.; STREHER, ANNIA S.; PHILLIPS, OLIVER L.; GLOOR, EMANUEL; PUGH, THOMAS A. M.; OMETTO, JEAN P. H. B.; ARAGAO, LUIZ E. O. C.. Large-scale variations in the dynamics of Amazon forest canopy gaps from airborne lidar data and opportunities for tree mortality estimates. SCIENTIFIC REPORTS, v. 11, n. 1, JAN 14 2021. (15/22987-7, 16/17652-9, 15/50484-0, 19/21662-8, 19/09248-1)

DALAGNOL, RICARDO; GALVAO, LENIO SOARES; WAGNER, FABIEN HUBERT; DE MOURA, YHASMIN MENDES; GONCALVES, NATHAN; WANG, YUJIE; LYAPUSTIN, ALEXEI; YANG, YAN; SAATCHI, SASSAN; OLIVEIRA CRUZ ARAGAO, LUIZ EDUARDO. AnisoVeg: anisotropy and nadir-normalized MODIS multi-angle implementation atmospheric correction (MAIAC) datasets for satellite vegetation studies in South America. EARTH SYSTEM SCIENCE DATA, v. 15, n. 1, p. 14-pg., 2023-01-19. (15/50484-0, 15/22987-7, 19/21662-8)

DE MOURA, YHASMIN MENDES. Vulnerability of Amazonian forests to repeated droughts. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, v. 373, n. 1760, NOV 19 2018. (16/17652-9, 15/22987-7, 16/02018-2, 15/50484-0, 17/15257-8)

DALAGNOL, RICARDO; WAGNER, FABIEN HUBERT; GALVAO, LENIO SOARES; NELSON, BRUCE WALKER; DE ARAGAO, LUIZ EDUARDO OLIVEIRA E CRUZ. Life cycle of bamboo in the southwestern Amazon and its relation to fire events. BIOGEOSCIENCES, v. 15, n. 20, p. 6087-6104, OCT 18 2018. (17/15257-8, 15/50484-0, 16/17652-9, 15/22987-7)

ROSAN, THAIS M.; ARAGAO, LUIZ E. O. C.; OLIVERAS, IMMA; PHILLIPS, OLIVER L.; MALHI, YADVINDER; GLOOR, EMANUEL; WAGNER, FABIEN H.. Extensive 21st-Century Woody Encroachment in South America's Savanna. Geophysical Research Letters, v. 46, n. 12, p. 6594-6603, JUN 28 2019. (16/17652-9, 15/50484-0)

BERTANI, GABRIEL; WAGNER, FABIEN H.; ANDERSON, LIANA O.; ARAGAO, LUIZ E. O. C.. Chlorophyll Fluorescence Data Reveals Climate-Related Photosynthesis Seasonality in Amazonian Forests. REMOTE SENSING, v. 9, n. 12, DEC 2017. (16/17652-9, 13/50533-5, 15/50484-0, 13/14520-6)

WAGNER, FABIEN H.; SANCHEZ, ALBER; AIDAR, MARCOS P. M.; ROCHELLE, ANDRE L. C.; TARABALKA, YULIYA; FONSECA, MARISA G.; PHILLIPS, OLIVER L.; GLOOR, EMANUEL; ARAGAO, LUIZ E. O. C.. Mapping Atlantic rainforest degradation and regeneration history with indicator species using convolutional network. PLoS One, v. 15, n. 2, FEB 28 2020. (12/51872-5, 16/17652-9, 15/50484-0, 16/03397-7, 13/50533-5)

WAGNER, FABIEN H.; HIRYE, MAYUMI C. M.. Tree Cover for the Year 2010 of the Metropolitan Region of SAo Paulo, Brazil. DATA, v. 4, n. 4, DEC 2019. (15/50484-0, 16/17652-9)

WAGNER, FABIEN H.. The flowering of Atlantic Forest Pleroma trees. SCIENTIFIC REPORTS, v. 11, n. 1, OCT 14 2021. (16/17652-9, 15/50484-0)

WAGNER, FABIEN H.; SANCHEZ, ALBER; TARABALKA, YULIYA; LOTTE, RODOLFO G.; FERREIRA, MATHEUS P.; AIDAR, MARCOS P. M.; GLOOR, EMANUEL; PHILLIPS, OLIVER L.; ARAGAO, LUIZ E. O. C.. Using the U-net convolutional network to map forest types and disturbance in the Atlantic rainforest with very high resolution images. REMOTE SENSING IN ECOLOGY AND CONSERVATION, v. 5, n. 4, p. 360-375, DEC 2019. (16/03397-7, 16/24977-1, 15/50484-0, 13/50533-5, 12/51872-5)

WAGNER, FABIEN HUBERT; FERREIRA, MATHEUS PINHEIRO; SANCHEZ, ALBER; HIRYE, MAYUMI C. M.; ZORTEA, MACIEL; GLOOR, EMANUEL; PHILLIPS, OLIVER L.; DE SOUZA FILHO, CARLOS ROBERTO; SHIMABUKURO, YOSIO EDEMIR; ARAGAO, LUIZ E. O. C.. Individual tree crown delineation in a highly diverse tropical forest using very high resolution satellite images. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v. 145, p. 16-pg., 2018-11-01. (16/03397-7, 13/50533-5, 13/11589-5, 16/17652-9, 16/24977-1, 15/50484-0)

WAGNER, FABIEN HUBERT; HERAULT, BRUNO; ROSSI, VIVIEN; HILKER, THOMAS; MAEDA, EDUARDO EIJI; SANCHEZ, ALBER; LYAPUSTIN, ALEXEI I.; GALVAO, LENIO SOARES; WANG, YUJIE; ARAGAO, LUIZ E. O. C.. Climate drivers of the Amazon forest greening. PLoS One, v. 12, n. 7, JUL 14 2017. (16/17652-9, 16/03397-7, 13/14520-6, 15/50484-0)

FERREIRA, MATHEUS PINHEIRO; FERET, JEAN-BAPTISTE; GRAU, ELOI; GASTELLU-ETCHEGORRY, JEAN-PHILIPPE; SHIMABUKURO, YOSIO EDEMIR; DE SOUZA FILHO, CARLOS ROBERTO. Retrieving structural and chemical properties of individual tree crowns in a highly diverse tropical forest with 3D radiative transfer modeling and imaging spectroscopy. REMOTE SENSING OF ENVIRONMENT, v. 211, p. 276-291, JUN 15 2018. (16/24977-1, 15/50484-0)

WAGNER, FABIEN H.; DALAGNOL, RICARDO; SANCHEZ, ALBER H.; HIRYE, MAYUMI C. M.; FAVRICHON, SAMUEL; LEE, JAKE H.; MAUCERI, STEFFEN; YANG, YAN; SAATCHI, SASSAN. K-textures, a self-supervised hard clustering deep learning algorithm for satellite image segmentation. FRONTIERS IN ENVIRONMENTAL SCIENCE, v. 10, p. 19-pg., 2022-09-20. (15/22987-7, 16/17652-9, 15/50484-0)