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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 type:Program for Research on Bioenergy (BIOEN) - Regular Program Grants
Duration: August 01, 2014 - January 31, 2017
Field of knowledge:Agronomical Sciences - Agricultural Engineering
Cooperation agreement: BE-BASIC Consortium
Principal Investigator:Rubens Augusto Camargo Lamparelli
Grantee:Rubens Augusto Camargo Lamparelli
Principal investigator abroad: Ramon Hansen
Institution abroad: Delft University of Technology (TU Delft), Netherlands
Home 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. Web of Science Citations: 3.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.