Characterizing secondary forest stages in different tropical rain forest environments under the recent REDD+ protocols: an attempt with multiple sources of remote sensing data

• Grant number: 13/05081-9
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: August 01, 2013
• End date: July 31, 2014
• Field of knowledge: Physical Sciences and Mathematics - Geosciences
• Principal Investigator: Carlos Roberto de Souza Filho
• Grantee: Veraldo Liesenberg
• Host Institution: Instituto de Geociências (IG). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

Forest inventory information has been a very important topic under the recent United Nations (UN) endorsed "Reducing Emissions from Deforestation and Degradation" (REDD+) protocols. In other words, frequently forest monitoring is needed, not only for planning the future forest management practices but also to monitor forested areas under the recent REDD+ policy. However, the traditional methods of investigating such parameters involve labor-intensive forest inventories, the incorporation of complex sampling designs, and supplementary work that are not feasible both in terms of expenses and time. In this regard, the potential of different sources of remotely sensed data and techniques should be considered with more intenseness in different tropical rain forest environments. This post-doctoral investigation intends to discriminate at selected test sites different successional forest stages and to retrieve some of their biophysical parameter variables which show direct influence on the spatial and temporal patterns of carbon stores and fluxes [e.g. (1) plant/leaf area index (PAI/LAI); (2) tree height; (3) tree coverage and gap fraction; (4) stratified above ground biomass (AGB); and (5) 3-D Canopy structure]. Besides the Tapajos National Forest (Eastern Amazon, Brazil) and Sabangau National Park (Central Kalimantan, Indonesia) other study areas may be selected according to the historical availability of remotely sensed data at both orbital and airborne levels. Work at these sites will allow to investigate at what extent may optical (i.e. multiangular multispectral and hyperspectral data) and microwave data (i.e. multifrequency polarimetric and interferometric data) measurements be used to improve: (a) overall classification accuracy of secondary forest and their spatial distribution; and (b) secondary forest biophysical parameter estimates?

Scientific publications

(8)

(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)

PIAZZA, GUSTAVO ANTONIO; VIBRANS, ALEXANDER CHRISTIAN; LIESENBERG, VERALDO; REFOSCO, JULIO CESAR. Object-oriented and pixel-based classification approaches to classify tropical successional stages using airborne high-spatial resolution images. GIScience & Remote Sensing, v. 53, n. 2, p. 206-226, MAR 3 2016. (13/05081-9)

DANILO FRANCISCO TROVO GAROFALO; CASSIANO GUSTAVO MESSIAS; VERALDO LIESENBERG; ÉDSON LUIS BOLFE; MARCOS CÉSAR FERREIRA. Análise comparativa de classificadores digitais em imagens do Landsat-8 aplicados ao mapeamento temático. Pesquisa Agropecuária Brasileira, v. 50, n. 7, p. 593-604, 2015-07-00. (13/22185-2, 13/05081-9)

GUSTAVO ANTONIO PIAZZA; ALEXANDER CHRISTIAN VIBRANS; VERALDO LIESENBERG; LAIO ZIMMERMANN DE OLIVEIRA; PAOLO MOSER. MAPEAMENTO DE REMANESCENTES EM ESTÁGIO INICIAL DE SUCESSÃO NA FLORESTA SUBTROPICAL ATLÂNTICA DO SUL DO BRASIL. Bol. Ciênc. Geod., v. 22, n. 4, p. 774-789, 2016-12-00. (13/05081-9)

LIESENBERG, VERALDO; IEEE. MAPPING TROPICAL SUCCESSIONAL FOREST STAGES USING MULTIFREQUENCY SAR. 2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), v. N/A, p. 4-pg., 2022-01-01. (13/05081-9)

LIESENBERG, VERALDO; DE SOUZA FILHO, CARLOS ROBERTO; GLOAGUEN, RICHARD. Evaluating Moisture and Geometry Effects on L-Band SAR Classification Performance Over a Tropical Rain Forest Environment. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 9, n. 12, p. 12-pg., 2016-12-01. (13/05081-9)

LIESENBERG, VERALDO; DE SOUZA FILHO, CARLOS ROBERTO; GLOAGUEN, RICHARD. Evaluating Moisture and Geometry Effects on L-Band SAR Classification Performance Over a Tropical Rain Forest Environment. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 9, n. 12, 1, SI, p. 5357-5368, DEC 2016. (13/05081-9)

SILVA, CARLOS ALBERTO; KLAUBERG, CARINE; HUDAK, ANDREW T.; VIERLING, LEE A.; LIESENBERG, VERALDO; CARVALHO, SAMUEL P. C. E; RODRIGUEZ, LUIZ C. E.. A principal component approach for predicting the stem volume in Eucalyptus plantations in Brazil using airborne LiDAR data. FORESTRY, v. 89, n. 4, p. 422-433, AUG 2016. (12/03176-0, 13/05081-9)

LIESENBERG, VERALDO; IEEE. CHARACTERIZING BIOPHYSICAL ATTRIBUTES IN TROPICAL SECONDARY FOREST ENVIRONMENTS WITH MULTITEMPORAL HYPERSPECTRAL IMAGES. 2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), v. N/A, p. 4-pg., 2022-01-01. (13/05081-9)