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Monitoring forest landscape restoration from unmanned aerial vehicles using Lidar and hyperspectral remote sensing

Grant number: 18/21338-3
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): February 01, 2019
Effective date (End): February 02, 2022
Field of knowledge:Agronomical Sciences - Forestry Resources and Forestry Engineering
Principal Investigator:Pedro Henrique Santin Brancalion
Grantee:Danilo Roberti Alves de Almeida
Home Institution: Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil
Associated research grant:13/50718-5 - Ecological restoration of riparian forests, native forest of economic production and of degraded forest fragments (in APP and RL) based on restoration ecology of reference ecosystems in order to scientifically test the precepts of the New Brazilian Forest Code, AP.BTA.TEM
Associated scholarship(s):19/14697-0 - Monitoring the demography and diversity of forests undergoing restoration using a drone-lidar-hyperspectral system, BE.EP.PD

Abstract

Several countries have submitted ambitious international pledges to restore by 2030 over 350 million hectares of degraded and deforested landscapes into multi-functional landscapes. Planning and monitoring forest and landscape restoration programs requires more comprehensive information at large scale using cost-effective methodologies to distinguish forest typologies and assess the recovery of forest structure and functions. This proposal will advance our understanding of restoration of tropical forests and their functions using several crucial variables derived by an unmanned aerial vehicle (UAV) using 3-D Lidar (Light Detection and Ranging) and HSI (hyperspectral imaging). The information offered by these remote sensors in such low cost platforms will revolutionize measurement and understanding of tropical forests restoration success, bringing detailed information from broad areas such as restoration, management and conservation, to significantly improve decision making in forestry. More specifically, we will investigate the potential of a UAV-based Lidar-HIS fusion approach to (i) distinguish forest types, tree diversity, above-ground biomass, (ii) identify tree species and predict (iii) microclimate, light and water environments and (iv) tree demography. These contributions may be key to advance monitoring of restoration programs implemented in the contexts of the Native Vegetation Protection Law (which replaced the Forest Code), the Brazilian commitments to the Paris Climate Agreement and Bonn Challenge, and national coalitions as such the Atlantic Forest Restoration Pact.

Articles published in other media outlets (2 total):
SciDev.Net (Reino Unido): Drones deployed to monitor Brazil forest growth (14/Jun/2019)
SciDev.Net (América Latina e o Caribe): Drones pueden ayudar a proyectos de restauración forestal (14/Jun/2019)

Scientific publications (17)
(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)
PRATA, GABRIEL ATTICCIATI; BROADBENT, EBEN NORTH; ALVES DE ALMEIDA, DANILO ROBERTI; ST PETER, JOSEPH; DRAKE, JASON; MEDLEY, PAUL; DALLA CORTE, ANA PAULA; VOGEL, JASON; SHARMA, AJAY; SILVA, CARLOS ALBERTO; ZAMBRANO, ANGELICA MARIA ALMEYDA; VALBUENA, RUBEN; WILKINSON, BEN. Single-Pass UAV-Borne GatorEye LiDAR Sampling as a Rapid Assessment Method for Surveying Forest Structure. REMOTE SENSING, v. 12, n. 24 DEC 2020. Web of Science Citations: 0.
DALLA CORTE, ANA PAULA; SOUZA, DEIVISON VENICIO; REX, FRANCIEL EDUARDO; SANQUETTA, CARLOS ROBERTO; MOHAN, MIDHUN; SILVA, CARLOS ALBERTO; ZAMBRANO, ANGELICA MARIA ALMEYDA; PRATA, GABRIEL; DE ALMEIDA, DANILO ROBERTI ALVES; TRAUTENMUELLER, JONATHAN WILLIAM; KLAUBERG, CARINE; DE MORAES, ANIBAL; SANQUETTA, MATEUS N.; WILKINSON, BEN; BROADBENT, EBEN NORTH. Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 179, DEC 2020. Web of Science Citations: 0.
FERREIRA, MATHEUS PINHEIRO; ALVES DE ALMEIDA, DANILO ROBERTI; PAPA, DANIEL DE ALMEIDA; SILVA MINERVINO, JULIANO BALDEZ; PESSOA VERAS, HUDSON FRANKLIN; FORMIGHIERI, ARTHUR; NASCIMENTO SANTOS, CAIO ALEXANDRE; DANTAS FERREIRA, MARCIO AURELIO; FIGUEIREDO, EVANDRO ORFANO; LINHARES FERREIRA, EVANDRO JOSE. Individual tree detection and species classification of Amazonian palms using UAV images and deep learning. FOREST ECOLOGY AND MANAGEMENT, v. 475, NOV 1 2020. Web of Science Citations: 1.
GORGENS, ERIC B.; NUNES, MATHEUS H.; JACKSON, TOBIAS; COOMES, DAVID; KELLER, MICHAEL; REIS, CRISTIANO R.; VALBUENA, RUBEN; ROSETTE, JACQUELINE; DE ALMEIDA, DANILO R. A.; GIMENEZ, BRUNO; CANTINHO, ROBERTA; MOTTA, ALLINE Z.; ASSIS, MAURO; DE SOUZA PEREIRA, FRANCISCA R.; SPANNER, GUSTAVO; HIGUCHI, NIRO; OMETTO, JEAN PIERRE. Resource availability and disturbance shape maximum tree height across the Amazon. GLOBAL CHANGE BIOLOGY, v. 27, n. 1 NOV 2020. Web of Science Citations: 0.
LEITE, RODRIGO VIEIRA; SILVA, CARLOS ALBERTO; MOHAN, MIDHUN; CARDIL, ADRIAN; ALVES DE ALMEIDA, DANILO ROBERTI; CHAVES E CARVALHO, SAMUEL DE PADUA; JAAFAR, WAN SHAFRINA WAN MOHD; GUERRA-HERNANDEZ, JUAN; WEISKITTEL, AARON; HUDAK, ANDREW T.; BROADBENT, EBEN N.; PRATA, GABRIEL; VALBUENA, RUBEN; LEITE, HELIO GARCIA; TAQUETTI, MARIANA FUTIA; VIEIRA SOARES, ALVARO AUGUSTO; SCOLFORO, HENRIQUE FERRACO; DO AMARAL, CIBELE HUMMEL; DALLA CORTE, ANA PAULA; KLAUBERG, CARINE. Individual Tree Attribute Estimation and Uniformity Assessment in Fast-Growing Eucalyptus spp. Forest Plantations Using Lidar and Linear Mixed-Effects Models. REMOTE SENSING, v. 12, n. 21 NOV 2020. Web of Science Citations: 0.
VALBUENA, R.; O'CONNOR, B.; ZELLWEGER, F.; SIMONSON, W.; VIHERVAARA, P.; MALTAMO, M.; SILVA, C. A.; ALMEIDA, D. R. A.; DANKS, F.; MORSDORF, F.; CHIRICI, G.; LUCAS, R.; COOMES, D. A.; COOPS, N. C. Standardizing Ecosystem Morphological Traits from 3D Information Sources. TRENDS IN ECOLOGY & EVOLUTION, v. 35, n. 8, p. 656-667, AUG 2020. Web of Science Citations: 1.
ALVES DE ALMEIDA, DANILO ROBERTI; ALMEYDA ZAMBRANO, ANGELICA MARIA; BROADBENT, EBEN NORTH; WENDT, AMANDA L.; FOSTER, PAUL; WILKINSON, BENJAMIN E.; SALK, CARL; PAPA, DANIEL DE ALMEIDA; STARK, SCOTT CHRISTOPHER; VALBUENA, RUBEN; GORGENS, ERIC BASTOS; SILVA, CARLOS ALBERTO; SANTIN BRANCALION, PEDRO HENRIQUE; FAGAN, MATTHEW; MELI, PAULA; CHAZDON, ROBIN. Detecting successional changes in tropical forest structure using GatorEye drone-borne lidar. Biotropica, v. 52, n. 6 JUL 2020. Web of Science Citations: 3.
BADARI, CAROLINA GIUDICE; BERNARDINI, LUIS EDUARDO; DE ALMEIDA, DANILO R. A.; BRANCALION, PEDRO H. S.; CESAR, RICARDO G.; GUTIERREZ, VICTORIA; CHAZDON, ROBIN L.; GOMES, HAROLDO B.; VIANI, RICARDO A. G. Ecological outcomes of agroforests and restoration 15 years after planting. RESTORATION ECOLOGY, v. 28, n. 5 JUL 2020. Web of Science Citations: 0.
D'OLIVEIRA, MARCUS V. N.; BROADBENT, EBEN N.; OLIVEIRA, LUIS C.; ALMEIDA, DANILO R. A.; PAPA, DANIEL A.; FERREIRA, MANUEL E.; ZAMBRANO, ANGELICA M. ALMEYDA; SILVA, CARLOS A.; AVINO, FELIPE S.; PRATA, GABRIEL A.; MELLO, RICARDO A.; FIGUEIREDO, EVANDRO O.; DE CASTRO JORGE, LUCIO A.; JUNIOR, LEOMAR; ALBUQUERQUE, RAFAEL W.; BRANCALION, PEDRO H. S.; WILKINSON, BEN; OLIVEIRA-DA-COSTA, MARCELO. Aboveground Biomass Estimation in Amazonian Tropical Forests: a Comparison of Aircraft- and GatorEye UAV-borne LiDAR Data in the Chico Mendes Extractive Reserve in Acre, Brazil. REMOTE SENSING, v. 12, n. 11 JUN 2020. Web of Science Citations: 0.
REX, FRANCIEL EDUARDO; SILVA, CARLOS ALBERTO; DALLA CORTE, ANA PAULA; KLAUBERG, CARINE; MOHAN, MIDHUN; CARDIL, ADRIAN; DA SILVA, VANESSA SOUSA; ALVES DE ALMEIDA, DANILO ROBERTI; GARCIA, MARIANO; BROADBENT, EBEN NORTH; VALBUENA, RUBEN; STODDART, JAZ; MERRICK, TRINA; HUDAK, ANDREW THOMAS. Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data. REMOTE SENSING, v. 12, n. 9 MAY 2020. Web of Science Citations: 0.
DALLA CORTE, ANA PAULA; REX, FRANCIEL EDUARDO; ALVES DE ALMEIDA, DANILO ROBERTI; SANQUETTA, CARLOS ROBERTO; SILVA, CARLOS A.; MOURA, MARKS M.; WILKINSON, BEN; ALMEYDA ZAMBRANO, ANGELICA MARIA; DA CUNHA NETO, ERNANDES M.; VERAS, HUDSON F. P.; DE MORAES, ANIBAL; KLAUBERG, CARINE; MOHAN, MIDHUN; CARDIL, ADRIAN; BROADBENT, EBEN NORTH. Measuring Individual Tree Diameter and Height Using GatorEye High-Density UAV-Lidar in an Integrated Crop-Livestock-Forest System. REMOTE SENSING, v. 12, n. 5 MAR 2020. Web of Science Citations: 0.
PAPA, DANIEL DE ALMEIDA; ALVES DE ALMEIDA, DANILO ROBERTI; SILVA, CARLOS ALBERTO; FIGUEIREDO, EVANDRO ORFANO; STARK, SCOTT C.; VALBUENA, RUBEN; ESTRAVIZ RODRIGUEZ, LUIZ CARLOS; NEVES D'OLIVEIRA, MARCUS VINICIO. Evaluating tropical forest classification and field sampling stratification from lidar to reduce effort and enable landscape monitoring. FOREST ECOLOGY AND MANAGEMENT, v. 457, FEB 1 2020. Web of Science Citations: 0.
DE ALMEIDA, DANILO R. A.; STARK, SCOTT C.; VALBUENA, RUBEN; BROADBENT, EBEN N.; SILVA, THIAGO S. F.; DE RESENDE, ANGELICA F.; FERREIRA, MATHEUS P.; CARDIL, ADRIAN; SILVA, CARLOS A.; AMAZONAS, NINO; ZAMBRANO, ANGELICA M. A.; BRANCALION, PEDRO H. S. A new era in forest restoration monitoring. RESTORATION ECOLOGY, v. 28, n. 1 NOV 2019. Web of Science Citations: 1.
SILVA, CARLOS A.; VALBUENA, RUBEN; PINAGE, EKENA R.; MOHAN, MIDHUN; DE ALMEIDA, DANILO R. A.; NORTH, EBEN; JAAFAR, WAN SHAFRINA WAN MOHD; PAPA, DANIEL DE A. MEIDA; CARDIL, ADRIAN; KLAUBERG, CARINE. ForestGapR: An r Package for forest gap analysis from canopy height models. METHODS IN ECOLOGY AND EVOLUTION, v. 10, n. 8, p. 1347-1356, AUG 2019. Web of Science Citations: 0.
ALMEIDA, D. R. A.; BROADBENT, E. N.; ZAMBRANO, A. M. A.; WILKINSON, B. E.; FERREIRA, M. E.; CHAZDON, R.; MELI, P.; GORGENS, E. B.; SILVA, C. A.; STARK, S. C.; VALBUENA, R.; PAPA, D. A.; BRANCALION, P. H. S. Monitoring the structure of forest restoration plantations with a drone-lidar system. International Journal of Applied Earth Observation and Geoinformation, v. 79, p. 192-198, JUL 2019. Web of Science Citations: 5.
ALMEIDA, DANILO R. A.; STARK, SCOTT C.; SCHIETTI, JULIANA; CAMARGO, JOSE L. C.; AMAZONAS, NINO T.; GORGENS, ERIC B.; ROSA, DIOGO M.; SMITH, MARIELLE N.; VALBUENA, RUBEN; SALESKA, SCOTT; ANDRADE, ANA; MESQUITA, RITA; LAURANCE, SUSAN G.; LAURANCE, WILLIAM F.; LOVEJOY, THOMAS E.; BROADBENT, EBEN N.; SHIMABUKURO, YOSIO E.; PARKER, GEOFFREY G.; LEFSKY, MICHAEL; SILVA, CARLOS A.; BRANCALION, PEDRO H. S. Persistent effects of fragmentation on tropical rainforest canopy structure after 20 yr of isolation. Ecological Applications, v. 29, n. 6 JULY 2019. Web of Science Citations: 1.
VALBUENA, RUBEN; HERNANDO, ANA; MANZANERA, JOSE ANTONIO; GORGENS, ERIC B.; ALMEIDA, DANILO R. A.; SILVA, CARLOS A.; GARCIA-ABRIL, ANTONIO. Evaluating observed versus predicted forest biomass: R-squared, index of agreement or maximal information coefficient?. EUROPEAN JOURNAL OF REMOTE SENSING, v. 52, n. 1, p. 345-358, 2019. Web of Science Citations: 2.

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