Personal Information Name: André de Lima Citation: Lima, André Skype: andrelimapr Research Interests



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André Lima

delima@umd.inpe.edu

University of Maryland – Department of Geographical Sciences

4321 Hartwick Rd, College Park, Maryland 20740 - USA

Cell Phone: +1 (301) 219 7515

Personal Information
Name: André de Lima

Citation: Lima, André

Skype: andrelimapr
Research Interests

Burnt area mapping, fire forecasting, Amazon land-use and land-cover change, landscape ecology.


Education
2013-2014 Post Doc in Spatial-temporal fire modeling in the Amazon - National Institute for Space Research (INPE)/University of Exeter (UK). Project title: Refining tropical predictions: a spatially explicit framework for analyzing, quantifying and forecasting fire incidence in Amazonia. Supervisor: Dr. Luiz Eduardo Aragão.
2008-2013 PhD. in Remote Sensing at National Institute for Space Research (INPE), São José dos Campos, Brazil. Thesis title: Land cover role in the extent and spatial pattern of burned areas in years of extreme drought in the Amazon region. Advisor: Dr. Yosio Edemir Shimabukuro, Dr. Antônio Roberto Formaggio.
2003-2005 Master Degree in Remote Sensing at National Institute for Space Research (INPE), São José dos Campos, Brazil. Thesis title: Assessing the representativeness of Conservation System Units in Mato Grosso State (Brazil) using spatial analysis and remote sensing techniques. Keywords: Conservation, Amazon region, Land-use/land-cover change mapping, Geographic Information Systems, Moderate Resolution Imaging Spectroradiometer - MODIS. Advisor: Dr. Yosio Edemir Shimabukuro.
1997-2002 Bachelor Degree in Geography at Londrina State University (UEL), Londrina, Brazil. Scholarly Paper Title: Identification of Atlantic Forest Eco-units using Remote Sensing Techniques. Keywords: Forest patch, Conservation, Thematic Mapper sensor, Digital Classification, Geographic Information Systems. Advisor: Dr. José Marcelo Domingues Torezan.
Complementary Training

Introduction to Geographic Information Systems (UEL, 2001; INPE, 2008)

Physical principles of remote sensing (INPE, 2003)

Statistics: Remote Sensing Application (INPE, 2003)

Digital Processing of Remote Sensing Images (INPE, 2003)

Spectral Behavior: Vegetation, Water, Soil and Minerals. (INPE, 2003);

Global Changes: Principle, Process and Modeling. (INPE, 2003)

Visual Image Interpretation. (INPE, 2003)

Spatial Analysis (INPE, 2008)

Environmental Modeling (INPE, 2008)


Professional Activities

2014 Brazilian Agricultural Research Corporation (EMBRAPA). Embrapa Satellite Monitoring. Position: Consultant at TerraClass Cerrado project – mapping crop fields in Cerrado Biome (Brazilian Savanna). Employer: Edson Luis Bolfe (EMBRAPA/World Bank)

2012 CARGILL. GIS and Remote Sensing Department. Position: GIS Analyst – mapping crop fields (Freelancer). Employer: José Luis Rodriguez Yi / Maurício Moreira

2008 Conservation International (CI). GIS and Remote Sensing Department. Position: GIS Analyst (Freelancer). Employer: Carlos Alberto Bouchadert

2007 National Institute for Space Research (INPE). Remote Sensing Division (DSR). Position: Research Assistant. Employer: Dr. Bernardo Rudorff and Dr. Yosio Shimabukuro.

2005 – 2006 University of São Paulo (USP). Landscape Ecology and Conservation Laboratory (LEPaC). Position: GIS Analyst. Employer: Dr. Jean Paul Meztger.

2002 – 2003 Brazilian Agricultural Research Corporation (EMBRAPA). Agrometeorology Laboratory. Position: GIS Analyst. Employer: EMBRAPA.

2002 – 2003 State University of Londrina (UEL). Biodiversity and Ecosystems Restoration Laboratory. Position: GIS Analyst. Employer: Dr. José Marcelo Domingues Torezan.

1999 2001 State University of Londrina (UEL). Landscape Ecology Laboratory (LEP). Position: GIS Analyst trainee. Employer: Dr. Efraim Rodrigues.

Research Projects

2014 - 2018 Tropical Deforestation and Economic Development.



Description: Tropical deforestation has attracted attention due to accumulation of greenhouse gases in the atmosphere. The proposed research project will contribute to the understanding of the links between deforestation and economic developments by using a combination of theoretical and empirical research methods: 1) The process of economic development in the form of sectorial and spatial shifts, political settings and conservation policies interact with deforestation in important ways, and theoretical models will be formulated to trace out the relevant mechanisms. 2) The hypothesized mechanisms will be tested in the data. By taking advantage of sources of plausibly exogenous variation in economic growth, political settings and conservation policies, the empirical strategy will deal with the main empirical research challenge in the literature; empirical identification of causal effects. The novelty of the empirical approach lies with the use of the spatial dimension, connecting data on forest cover, economic activity (nighttime light), oil wells and administrative boundaries at a high spatial resolution. The empirical research will use Brazilian data. The proposed research project will generate at least three research papers, focusing on: i) structural change, urbanization and deforestation; ii) political institutions and deforestation; conservation policies and deforestation. Given the potential importance of climate change and the significant contribution of tropical deforestation, policy efforts and substantial funds are currently mobilized to reduce tropical deforestation. Our research will inform policy by highlighting key trade-offs involved in preserving tropical forest and how such trade-offs depend on the economics of other activities

Role: Co-Investigator (Principal Investigator: Dr. Torfinn Harding)

Sponsor: Research Council of Norway

2013 - 2018 "FATE-Amazônia" (Fire-Associated Transient Emissions)

Description: A multidisciplinary methodology was proposed based on remote sensing techniques, forest ecology and ecosystem modeling to produce the first systematic quantification of annual carbon emissions from Amazon forests affected by fire. This general objective will be pursued through the consolidation of a multidisciplinary research team coordinated by the National Institute for Space Research (INPE), which developed the FATE- Amazon system. This unique system combined the state-of-the-art methodologies and technologies to map, monitor and quantify the short, medium and long term carbon emissions from Amazonian understory fires.

Role: Co-Investigator (Principal Investigator: Dr. Luiz Eduardo Aragão)

Sponsor: Brazilian National Research Council (CNPq) / Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA)

2013 - 2018 Refining tropical predictions: a spatially explicit framework for analyzing, quantifying and forecasting fire incidence in Amazonia

Description: The project aims to develop technologies for prevention and mitigation of natural disasters, in particular fires in Amazonia. The objective of the proposal is to create a new routine for predicting fire probabilities in Amazonia using information derived from satellite products and field data. The methodology is based on a Maximum Entropy (Maxent) approach. It will take advantage of the wide range of freely available spatially-explicit products (deforestation, degradation, land cover, fire incidence, rainfall, sea surface temperature) to produce a method that is scientifically relevant for analyzing and predicting fire patterns, but also relevant for policy applications for preventing and mitigating fire problem in Amazonia.

Role: Co-Investigator (Principal Investigator: Dr. Luiz Eduardo Aragão)

Sponsor: Brazilian National Research Council (CNPq) / Science without Borders Program
2003 – 2005 Integrating Coarse and Fine Resolution Satellite Data to Monitor Land Cover Change throughout Amazônia. LBA-LC22 Team

Description: This project addresses a key need to accurately monitor land cover change at frequent intervals throughout Amazonia. Spatially-explicit data on land cover dynamics in response to land use change are essential to extrapolate process-level understanding of carbon, nutrient, and trace gas fluxes over the larger region. Currently, monitoring efforts to quantify land cover change based on analysis of Landsat data are time-consuming, laborious, and data-intensive. Estimates from different analyses often yield conflicting results, highlighting differences in land cover definitions and methodologies applied by various researchers. We will develop a nested strategy whereby MODIS data will be analyzed over the entire region to identify the likelihood that land cover change is occurring at a given location. The likelihoods can then be used to identify the Landsat scenes requiring analysis. Scene selection will be implemented through a sampling strategy that accounts for the practicalities of access on the ground. Field observations will be carried out to aid the analysis of the MODIS and Landsat data.

Role: Co-Investigator (Principal Investigator: Dr. Ruth DeFries & Dr. Yosio Edemir Shimabukuro)

Sponsor: National Aeronautics and Space Administration (NASA)


2003 – 2005 Vegetation and Land Use Monitoring using MODIS data.

Description: This project presents a methodology for the classification and monitoring of forest, savanna and wetland ecosystems, and for detection and classification of natural and anthropogenic changes. The main objectives of this study are to: 1) generate a moderate spatial resolution vegetation map; 2) monitor the phenological changes in vegetation; 3) develop a land-use/land-cover change detection methodology due to deforestation and burning. Different methodologies for vegetation cover classification using AVHRR data and for land-use/land-cover change detection will be adapted to achieve this goals. Expected results includes a vegetation cover map of Mato Grosso State and a methodology for the detection of deforestation and burned areas generated from multispectral and multitemporal MODIS data. This is an important information for planning and management of natural resources in the region.

Role: Co-Investigator (Principal Investigator: Dr. Yosio Edemir Shimabukuro)

Sponsor: Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)



Scientific Publications


  • Peer-Reviewed Journal Articles




  1. FERREIRA, J., ARAGAO, L. E. O. C., Barlow, J., BARRETO, P., BERENGUER, E., BUSTAMANTE, M., GARDNER, T. A., LEES, A. C., LIMA, André, LOUZADA, J., PARDINI, R., PARRY, L., PERES, C. A., POMPEU, P. S., TABARELLI, M., ZUANON, J. Brazil's environmental leadership at risk. Science (New York, N.Y.). v. 346, p. 706 - 707, 2014.




  1. FLETCHER, I. N., ARAGÃO, L. E. O. C., LIMA, André, SHIMABUKURO, Yosio, FRIEDLINGSTEIN, P. Fractal properties of forest fires in Amazonia as a basis for modelling pan-tropical burnt area. Biogeosciences. v. 11, p. 1449 - 1459, 2014.




  1. LIMA. André, SILVA, Thiago S. F., FORMAGGIO, A. R., ARAGAO, Luiz E. FREITAS, R.M., Adami, M., Shimabukuro, Yosio E. Spatial patterns of burn scars and deforestation associated with land use and land cover change processes in the Brazilian Amazon. Applied Geography. 2012.




  1. SHIMABUKURO, Yosio E. ; DUARTE, Valdete ; ARAI, Egídio ; FREITAS, Ramon M. ; MARTINI, P. R.; LIMA, André . Monitoring land cover in Acre State, western Brazilian Amazonia, using multitemporal remote sensing data. International Journal of Image and Data Fusion, v. 1, p. 1-11, 2010.




  1. SHIMABUKURO, Yosio E., DUARTE, V., ARAI, E., Freitas, R. M., LIMA, André, VALERIANO, D., BROWN, I., MALDONADO, M. 2008. Fraction images derived from terra MODIS data for mapping burned areas in Brazilian Amazonia. International Journal of Remote Sensing. v. 30, p. 1537 - 1546, 2009.




  1. ARAGÃO, Luiz Eduardo, MALHI, Yadvinder, BARBIER, Nicolas, SHIMABUKURO, Yosio, LIMA, André, ANDERSON, Liana, SAATCHI, Sassan. Climatic seasonality and land use dynamics in Amazonia. Philosophical Transactions of the Royal Society of London. Biological Sciences. v. 363, p. 1779 - 1785, 2008.




  1. LIMA, André, RUDORFF, Bernardo, AGUIAR, Daniel Alves de, ADAMI, Marcos. SHIMABUKURO, Yosio. Spatial distribution and environmental characterization of sugarcane in the Pantanal Biome. Geografia (Rio Claro). v. 34, p. 193 - 204, 2009.




  1. LIMA, André, SHIMABUKURO, Yosio Edemir, ANDERSON, Liana Oighenstein, TOREZAN José Marcelo Domingues, RUDORFF, Bernardo Friedrich Theodor, RIZZI Rodrigo. Integrating multisensors maps to monitor natural vegetation in Mato Grosso, Brazil. Geografia. 2007.




  1. MORTON, Douglas, SHIMABUKURO, Yosio Edemir, RUDORFF, B. F. T., LIMA, André, FREITAS, Ramon Morais. DEFRIES, Ruth. Conservation challenge at the agricultural frontier: deforestation, fire, and land use dynamics in Mato Grosso. In Ambiente e Água. v. 2, p. 5-20, 2007.




  1. LIESENBERG, Veraldo, LIMA, André, FORMAGGIO, A. R. Terra Satellite Terra products and applications in Global Change issues. Terra Satellite and the global changes. In Geografia (Rio Claro). v. 5, p. 15-34, 2006.




  1. ANDERSON, Liana O, ARAGÃO Luiz Eduardo, LIMA, André, SHIMABUKURO, Yosio Edemir. Mato Grosso Burnt scars detection based on Linear Spectral Mixing Model and vegetation index derived from multitemporal data of MODIS/TERRA sensor in Mato Grosso state, Brazilian Amazon. In Acta Amazonica. 2005.




  1. ANDERSON, Liana O, SHIMABUKURO, Yosio E., LIMA, André, MEDEIROS, J S. Land cover mapping over Mato Grosso State using Modis Sensor multitemporal data. In Geografia. v. 3, p. 30-38, 2005.




  1. HERRMANN, B. C., RODRIGUES, Efraim, LIMA, André. The landscape as conditioning of edges of forest fragments. In Floresta (UFPR). v. 35, p. 13-22, 2005.




  • Book Chapters




  1. LIMA, André, ARAGÃO, Luiz Eduardo O.C., BARLOW, J., SHIMABUKURO, Y. E., ANDERSON, Liana O, DUARTE, V. Forest fires severity in years of extreme drought. In: Amazonian droughts: causes e consequences. First ed. São Paulo: Oficina de Textos, v. 1, p. 180-206, 2013.




  1. ARAGÃO, Luiz Eduardo O.C., SHIMABUKURO, Y. E., CARDOSO, M., ANDERSON, Liana O, LIMA, André. Fire frequency during recent droughts. In: Amazonian droughts: causes e consequences. First ed. São Paulo: Oficina de Textos, v. 1, p. 165-179, 2013.




  1. ANDERSON, Liana, ARAGÃO, Luiz Eduardo O.C., VALERIANO, D., CARDOSO, M., Shimabukuro, Y. E., LIMA, André. Drought impacts on Amazon forest. In: Amazonian droughts: causes e consequences. First ed. São Paulo: Oficina de Textos, 2013, p. 147-164.




  1. SHIMABUKURO, Yosio E., João R. SANTOS, Bernardo F. T. RUDORFF, Egídio ARAI, Valdete DUARTE, LIMA, André. Operational use of MODIS data: Detection of deforested and burned areas in real time. MODIS application in Latin America. 2009.




  • Conference Proceedings



Full Articles





  1. FONSECA, Marisa, LIMA, André, ANDERSON, Liana, ARAGÃO, Luiz Eduardo. Preliminary assessment of the modeling of fires in the Brazilian Amazon using the principle of Maximum Entropy. In: Anais XVII Brazilian Remote Sensing Symposium, João Pessoa, 2015.




  1. VEDOVATO, Laura. JACON, Aline, PESSOA, Ana, LIMA, André, ARAGÃO, Luiz Eduardo O. C. Detection of burned forests in Amazonia using the Normalized Burn Ratio (NBR) and Linear Spectral Mixture Model from Landsat 8 images. In: Anais XVII Brazilian Remote Sensing Symposium, João Pessoa, 2015.




  1. LEITOLD, V., LIMA, André, SHIMABUKURO, Y. E. Spatial relation between burnt scars and deforestation in Eastern Amazon region. In: Anais XVI Brazilian Remote Sensing Symposium, Foz do Iguaçu, 2013.




  1. FLETCHER, I., MURRAY-TOTAROLO, G., FRIEDLLINGSTEIN, P., LIMA, André, SHIMABUKURO, Y. E., ARAGÃO, Luiz Eduardo O.C. Fire emissions in tropical forests: refining the SPITFIRE model using remote sensing data In: Anais XVI Brazilian Remote Sensing Symposium, Foz do Iguaçu, 2013.




  1. LIMA, André, ARAGÃO, Luiz Eduardo O.C., DUARTE, V., Formaggio, Antônio Roberto, Shimabukuro, Y. E. Eastern Amazon fires in years of extreme drought: fuel sources. In: Anais XVI Brazilian Remote Sensing Symposium, Foz do Iguaçu, 2013.




  1. VERONA, J. D., LIMA, André, RISSO, J., SHIMABUKURO, Y. E., RUDORFF, Bernardo, RIZZI, R. Estimating soybean cultivation in priority areas for biodiversity conservation in Mato Grosso State. In: Anais XVI Brazilian Remote Sensing Symposium - SBSR, Foz do Iguaçu , 2013.




  1. XAUD, H. A. M., BISPO, P. C., SERVELLO, E., LIMA, André, Arenas, J. M., FORMAGGIO, A. R.. 2009. Burnt scars detection in Mato Grosso State using MODIS-TERRA images. In XIV Brazilian Remote Sensing Symposium - SBSR, Natal, 2009.




  1. LIMA, André, Shimabukuro, Yosio, ADAMI, M., Aragão, Luiz Eduardo O.C., FORMAGGIO, A. R., Lombardi, R.. 2009. Mapping burnt scars in Brazilian Amazon region applying Linear Spectral Mixing Model on MODIS images XIV Brazilian Remote Sensing Symposium - SBSR, Natal, 2009.




  1. ADAMI, M., LIMA, André, Freitas, R. M., Monteiro, A. M. V., Moreira, M. A.. 2009. Applying artificial neural networks for agriculture and livestock regionalization in Paraná State. XIV Brazilian Remote Sensing Symposium - SBSR, Natal, 2009.



  1. ARAGÃO, Luiz Eduardo O.C, SHIMABUKURO, Yosio, LIMA, André, ANDERSON, Liana, BARBIER, N., SAATCHI, Sassan. 2009. Using satellite data to study fires in the AmazonIn XIV Brazilian Remote Sensing Symposium - SBSR, Natal, 2009.




  1. LIMA, André, RIBEIRO, M. C., SHIMABUKURO, Yosio, ADAMI, M., TOREZAN, José Marcelo Domingues. 2008. Connectivity potential analysis of Chiroxiphia caudata (Tangará dançarino) populations in a fragmented landscape of the Atlantic Forest. In VIII Seminar on Remote Sensing and Geographical Information System applied to Forestry – SENGEF, Curitiba, 2008.




  1. MARTÍN Patricia, GORDILLO, Quintano, C., LIMA, André, SHIMABUKURO, Yosio e. 2008. MODIS spectral mixture analysis and burned area mapping in mediterranean countries. In VIII Seminar on Remote Sensing and Geographical Information System applied to Forestry – SENGEF, Curitiba, 2008.




  1. SANNA, Thiago, LIMA, André, FONSECA, L. M. G., RIBEIRO, M. C.. 2007. Assessment of image restoration techniques to enhance the applicability of MODIS images on Amazon floodplain landscape studies In XIII Brazilian Remote Sensing Symposium - SBSR, Florianópolis 2007.




  1. LIMA, André, SHIMABUKURO, Yosio Edemir, ANDERSON, Liana O, TOREZAN, José Marcelo Domingues, RUDORFF, B. F. T., RIZZI, R.. 2007. Land cover map update using TM and MODIS images. In XIII Brazilian Remote Sensing Symposium - SBSR, Florianópolis 2007.




  1. ARAGÃO, Luiz Eduardo O.C, SHIMABUKURO, Yosio Edemir, LIMA, André, ANDERSON, Liana O, Malhi, Y.. 2007. Burned scars in Amazonian forests under extreme drought conditions. In XIII Brazilian Remote Sensing Symposium - SBSR, Florianópolis 2007.




  1. SILVA, A. C., PIMENTA, A., BERG, E., LIMA, André. 2007. Landscape structure impact on species diversity in forest fragments of Minas Gerais. In XIII Brazilian Remote Sensing Symposium - SBSR, Florianópolis 2007.




  1. SHIMABUKURO, Yosio E., LIMA, André, RUDORFF, B. F. T.. 2007. Land cover mapping of São Paulo State using fraction images derived from MODIS data. In XIII Brazilian Remote Sensing Symposium - SBSR, Florianópolis 2007.




  1. LIMA, André, ANDERSON, Liana O, TOREZAN, José Marcelo Domingues, SHIMABUKURO, Yosio e. 2005. Effectiveness of the natural vegetation protection in Mato Grosso State: Analyze of ecosystems representativeness of conservation units and indigenous land. In Brazilian Remote Sensing Symposium - SBSR, Goiânia 2005.




  1. ANDERSON, Liana O, SHIMABUKURO, Yosio E., LIMA, André. 2004. Detection of burned areas based on the linear mixing model using TERRA/MODIS data over the Mato Grosso state, Brazilian Amazon In XI International Symposium - SELPER Santiago 2004




  1. LIMA, André, LIESENBERG, Veraldo. 2004. Comparative study of TM/Landsat and MODIS/EOS-AM1 data to estimate forested areas. In Congresso Brasileiro de Computação, Itajai, 2004.




  1. LIMA, André, SANNA, Thiago, LIESENBERG, Veraldo, ANDERSON, Liana O, SHIMABUKURO, Yosio E. 2004. Evaluation of TERRA/MODIS images applicability for regional deforestation mapping. In XI International Symposium - SELPER Santiago, 2004.


Abstracts





  1. ARAGÃO, Luiz Eduardo O.C, BARBIER, N., LIMA, André, SHIMABUKURO, Yosio e, Malhi, Y., ANDERSON, Liana O, SAATCHI, S.. 2007. Climate seasonality and land use dynamics in the Brazilian Amazonia. In XI LBA-ECO MEETING XI LBA-ECO MEETING, Salvador, 2007.




  1. LIMA, André, SHIMABUKURO, Yosio, Freitas, R. M., Aragão, MORTON, Douglas, ANDERSON, Liana O, RUDORFF, B. F. T., ADAMI, M.. 2007. Mapping Burned Areas in the Brazilian Amazon using MODIS Data In XI LBA-ECO MEETING XI LBA-ECO MEETING, Salvador, 2007.




  1. RIBEIRO, M. C., METZGER, J. P., LIMA, André. 2007. “LSMETRICS” program to calculate landscape connectivity and percolation indices. In VIII Congresso de Ecologia do Brasil, Caxambu, 2007.




  1. MORTON, Douglas, DEFRIES, Ruth, SOUZA, C., LIMA, André, WERF, G.. 2007. The contribution of fire to forest degradation in the upper Xingu basin. In XI MEETING LBA-ECO XI MEETING LBA-ECO, Salvador, 2007.




  1. LIMA, André, SHIMABUKURO, Yosio E., RIBEIRO, M. C., ANDERSON, Liana O, Freitas, R. M.. 2006. Real conservation scenarios for the Mato Grosso State: Analysis of landscape structural indexes for the microregions of Alto Teles Pires and Aripuanã. In 10a LBA-ECO Science Team Meeting, Brasília, 2006.




  1. LIMA, André, SHIMABUKURO, Yosio E., TOREZAN, José Marcelo Domingues, ANDERSON, Liana O. 2005. Conservation Unit Systems: Which areas are being preserved in Mato Grosso State? In LBA-ECO 9th Science Team Meeting LBA-ECO, São Paulo, 2005.




  1. SANNA, Thiago, NOVO, Evlyn, LIMA, André. 2004. Evaluation of Multi Sensor Satellite Data for Macrophyte Population Assessment at the Amazon Floodplain. In III Conferência Científica do LBA, Brasilia, 2004.




  1. ANDERSON, Liana O, SHIMABUKURO, Yosio E, MORTON, Douglas, DEFRIES, Ruth, LATORRE, Marcelo, JASINSKI, E., HANSEN, M, LIMA, André. 2004. Rapid assessment of deforestation in Mato Grosso State using MODIS and ETM+ data. In III Conferência Científica do LBA, Brasilia, 2004.






  1. SHIMABUKURO, Yosio Edemir, DUARTE, Valdete, MOREIRA, Maurício Alves, ARAI, Egídio, RUDORFF Bernardo Friedrich Theodor, FREITAS, Ramon Moraes de, LIMA, André, Júlio, ARAGÃO Ricardo Lisboa de. Real-time deforestation detection project (DETER) for 2005 and 2006. Technical Report. INPE-NTC. São José dos Campos, 2007.




  1. ANDERSON, L.O., SHIMABUKURO, Y.E., LATORRE, M.L., ESPIRITO-SANTO, F.D.B., LIMA, André, DUARTE, V., ARAI, E., DEFRIES, R.S., MORTON, D., HANSEN, M., JASINSKY, E. Data collection for forest cover studies, land cover mapping, deforestation assessment and environmental protection of conservation units/indigenous land: fieldwork methodologies. Technical Report. INPE-12304-NTC/368. São José dos Campos, 2005.


  • Field work experience


2013 Study area: Mato Grosso State, Brazil during January.

Project: Mapping and monitoring of agricultural land distribution in South America and Asia.

Financial Support: University of Maryland (UMD)/ National Aeronautics and Space Administration (NASA)
2011 Study area: Para State, Brazil during March.

Project: Land cover role in the extent and spatial pattern of burned areas in years of extreme drought in the Amazon region (PhD project).

Financial Support: Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPQ)
2011 Study area: Para State, Brazil during July.

Project: Land cover role in the extent and spatial pattern of burned areas in years of extreme drought in the Amazon region (PhD project).

Financial Support: Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPQ)
2006 Study area: Mato Grosso State, Brazil during October/November.

Project: Savannization of a tropical forest frontier: carbon consequences of climate change and anthropogenic fire from a height-structured ecosystem model.

Financial Support: National Aeronautics and Space Administration (NASA)


  1. Study area: Mato Grosso State, Brazil during October/November.

Project: Vegetation and Land Use Monitoring using MODIS data.

Financial Support: Fundação de Amparo à Pesquisa do Estado de São Paulo


1999 Study area: Maranhão, Brazil during June/July.

Project: Edge effects in Cerrado vegetation (Brazilian Savanna) in areas of soybean field frontiers.

Financial Support: Japan International Cooperation Agency (JICA)



  • Student Orientation



Doctorate Degree




  1. 2014 Ph.D committee - Remote Sensing at National Institute for Space Research (INPE), São José dos Campos, Brazil. Thesis title: Burnt area estimates in Rodônia State and implications to radiation balance modeling. PhD Candidate: Francielle da Silva Cardozo. Advisor: Dr. Elisabete Carias Moraes


Master Degree




  1. 2015 Masters Thesis committee - Remote Sensing at National Institute for Space Research (INPE), São José dos Campos, Brazil. Thesis title: Monitoring Amazon Floodplain Forest cover using the LandTrender algorithm. Candidate: Everton Hafemann. Advisor: Dr. Thiago Silva and Dr. Evlyn Novo



  2. 2014 Masters Thesis committee - Remote Sensing at National Institute for Space Research (INPE), São José dos Campos, Brazil. Thesis title: Analysis of the influence of view angle and background to estimate fire radiative power. Candidate: Guilherme Augusto Verola Mataveli. Advisor: Dr. Elisabete Carias Moraes



  3. 2013 Masters Thesis committee - Remote Sensing at National Institute for Space Research (INPE), São José dos Campos, Brazil. Thesis title: Analysis of the spatial dynamics of citrus in São Paulo State using remote sensing data. Candidate: Advisor: Dr. Maurício Moreira



  • Awards

1. Selected by the Society for Conservation GIS and ESRI Conservation Program to participate in the Global Scholarship Program 2011 from candidates in South America. The program delivered the following courses at the ESRI Headquarters (Redlands, California):

- Python language for ArcGIS;

- Building Geodatabases;

- Advanced Geoprocessing tools.





  • Professional Memberships

2005 - present International Association for Landscape Ecology – IALE-BR

2010 – present Society for Conservation GIS - SCGIS



  • Professional contacts

Dr. Luiz Eduardo Aragão - Brazilian National Institute for Space Research

Email: laragao@dsr.inpe.br
Dr. Milton Cezar Ribeiro - Universidade Estadual Paulista Julio de Mesquita Filho

Email: mcr@rc.unesp.br


Dr. Yosio Edemir Shimabukuro - Brazilian National Institute for Space Research

Email: yosio@dsr.inpe.br


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