Improved space-based remote sensing for land use mapping: towards a sustainable expansion of the bioethanol sector in Brazil

• Grant number: 13/50943-9
• Support Opportunities: Program for Research on Bioenergy (BIOEN) - Regular Program Grants
• Start date: August 01, 2014
• End date: January 31, 2017
• Field of knowledge: Agronomical Sciences - Agricultural Engineering
• Agreement: BE-BASIC Consortium
• Principal Investigator: Rubens Augusto Camargo Lamparelli
• Grantee: Rubens Augusto Camargo Lamparelli
• Principal researcher abroad: Ramon Hansen
• Institution abroad: Delft University of Technology (TU Delft), Netherlands
• Host Institution: Núcleo Interdisciplinar de Planejamento Energético (NIPE). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

The objective of this project is to develop a methodology for the accurate and systematic monitoring of land use change dynamics as a result of the expansion of the cultivation area of sugar cane for ethanol by the assimilation of remotely sensed data. The development of the methodology aims at combining optical and radar data in order to allow for the development of reliable, high resolution, discriminative land use maps in an time and cost effective way. This method could contribute to the development of a land use change monitoring system in Brazil which allows for proper assessments of (in-) direct land use changes and related environmental and socio-economic impacts of the expansion of biofuel production. This is an important input for the certification of sustainable biofuel production and for policymakers to ensure proper land use planning and sustainable expansion of the biofuel sector in Brazil. (AU)

Scientific publications

(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)

MOLIJN, RAMSES A.; IANNINI, LORENZO; DEKKER, PACO LOPEZ; MAGALHAES, PAULO S. G.; HANSSEN, RAMON F.. Vegetation Characterization through the Use of Precipitation-Affected SAR Signals. REMOTE SENSING, v. 10, n. 10, OCT 2018. (13/50943-9)

IANNINI, L.; MOLIJN, R.; MOUSIVAND, A.; HANSSEN, R.; LAMPARELLI, R.; IEEE. A HMM-BASED APPROACH FOR HISTORIC AND UP-TO-DATE LAND COVER MAPPING THROUGH LANDSAT TIME-SERIES IN THE STATE OF SAO PAULO, BRAZIL. 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), v. N/A, p. 4-pg., 2016-01-01. (13/50943-9)