Monitoring the demography and diversity of forests undergoing restoration using a drone-lidar-hyperspectral system

• Grant number: 19/14697-0
• Support type: Scholarships abroad - Research Internship - Post-doctor
• Effective date (Start): October 01, 2019
• Effective date (End): September 30, 2020
• Field of knowledge: Agronomical Sciences - Forestry Resources and Forestry Engineering
• Principal researcher: Pedro Henrique Santin Brancalion
• Grantee: Danilo Roberti Alves de Almeida
• Supervisor abroad: Eben North Broadbent
• Home Institution: Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil
• Research place: University of Florida, Gainesville (UF), United States
• Associated to the scholarship: 18/21338-3 - Monitoring forest landscape restoration from unmanned aerial vehicles using Lidar and hyperspectral remote sensing, BP.PD

Abstract

The accountability of ambitious forest and landscape restoration pledges rely on the development of cost-effective methods for characterizing and monitoring undergoing restoration. New remote sensing tools, such as lidar and hyperspectral sensors, have demonstrated great potential for achieving these goals, yet the estimation of tree demography and diversity by these technologies is still limited. Drone-based remote sensing is also a promising innovative technology that may combine the benefits of ground-based and satellite-derived monitoring by providing fine-scale data over large areas at a relatively low cost. However, data processing and analysis methodologies still need to be refined and calibrated for the success of using these technologies to monitor forest and landscape restoration. The objective of this study is to estimate tree demography and diversity of forests undergoing restoration using a drone-lidar-hyperspectral system. We will use a database collected in several mixed forest plantations, monoculture plantations (at least ten different species), agroforests, and second-growth forests established within an experimental station in São Paulo state. We expected to produce two scientific papers and contribute significantly to the development of forest restoration monitoring by advancing the capacity of this new drone-lidar-hyperspectral technology for detecting detailed ecological information.

Scientific publications

(14)

(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)

DE ALMEIDA, DANILO ROBERTI ALVES; BROADBENT, EBEN NORTH; FERREIRA, MATHEUS PINHEIRO; MELI, PAULA; ZAMBRANO, ANGELICA MARIA ALMEYDA; GORGENS, ERIC BASTOS; RESENDE, ANGELICA FARIA; DE ALMEIDA, CATHERINE TORRES; DO AMARAL, CIBELE HUMMEL; CORTE, ANA PAULA DALLA; et al. Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion. REMOTE SENSING OF ENVIRONMENT, v. 264, OCT 2021. (19/14697-0, 18/18416-2, 19/08533-4, 19/24049-5, 18/21338-3)

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; et al. A new era in forest restoration monitoring. RESTORATION ECOLOGY, v. 28, n. 1, NOV 2019. (19/14697-0, 18/18416-2, 18/21338-3)

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.; et al. 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. (19/14697-0, 18/21338-3)

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; et al. Resource availability and disturbance shape maximum tree height across the Amazon. GLOBAL CHANGE BIOLOGY, v. 27, n. 1, NOV 2020. (19/14697-0, 18/21338-3)

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; et al. Detecting successional changes in tropical forest structure using GatorEye drone-borne lidar. Biotropica, v. 52, n. 6, JUL 2020. (19/14697-0, 18/21338-3)

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. (18/21338-3, 19/14697-0)

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. (19/14697-0, 18/21338-3)

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.; et al. 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. (19/14697-0, 18/21338-3)

VALBUENA, R.; O'CONNOR, B.; ZELLWEGER, F.; SIMONSON, W.; VIHERVAARA, P.; MALTAMO, M.; SILVA, C. A.; ALMEIDA, D. R. A.; DANKS, F.; MORSDORF, F.; et al. Standardizing Ecosystem Morphological Traits from 3D Information Sources. TRENDS IN ECOLOGY & EVOLUTION, v. 35, n. 8, p. 656-667, AUG 2020. (19/14697-0, 18/21338-3)

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; et al. 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. (19/14697-0, 18/21338-3)

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.; et al. 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. (19/14697-0, 18/21338-3)

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. (19/14697-0, 18/21338-3)

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; et al. Single-Pass UAV-Borne GatorEye LiDAR Sampling as a Rapid Assessment Method for Surveying Forest Structure. REMOTE SENSING, v. 12, n. 24, DEC 2020. (19/14697-0, 18/21338-3)

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; et al. Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 179, DEC 2020. (19/14697-0, 18/21338-3)