DETER Monitoring on Non-Forest Vegetation in the Brazilian Amazon
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Abstract
In this study, we present the initial results of the pilot project applying the Near Real-Time Deforestation Detection System (DETER), initially designed for monitoring forest ecosystems (DETER Amazon), recently expanded to surveil an area of approximately 280,000 km² of non-forest natural vegetation (NF) in the Brazilian Amazon. The system issues two types of alerts: 1) NF suppression alerts, categorized into three classes (suppression with exposed soil, suppression with cultivated area, and suppression by mining) and 2) burn scars, based on an adapted methodology from DETER Amazon and images with low spatial resolution (64 m) but high temporal resolution (two or three days to assess the entire biome). The pilot project period was from August 2022 to July 2023, with a total area of suppression alerts covering 575.22 km², predominantly composed of the NF suppression class with exposed soil, and 8,036.99 km² of burn scar areas. The majority of NF suppression alerts occurred in the states of Roraima, Mato Grosso, Rondônia, and Pará. Additionally, Amazonas and Amapá stood out among the states with a higher area of burn scar alerts. Savannas were the most affected non-forest physiognomies, with 5,037 km² (6.5%) of their area impacted by suppression and fire. Comparative analysis with other monitoring systems in the Amazon demonstrated the effectiveness of DETER NF in monitoring non-forest areas in the biome.
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References
ADENEY, J. M. et al. White‐sand ecosystems in Amazonia. Biotropica, v. 48, n. 1, p. 7-23, 2016. DOI: 10.1111/btp.12293
ALMEIDA, C. A. D. et al. Disponibilização da série histórica de supressão da vegetação em áreas originalmente constituídas por fitofisionomias não florestais no bioma Amazônia. São José dos Campos: INPE, 2023. Available at: < http://urlib.net/8JMKD3MGP3W34T/48QEHP2 >.
ALMEIDA, C. A. et al. Methodology for Forest Monitoring used in PRODES and DETER projects - 2nd edition (updated). São José dos Campos: INPE, 2022. Available at: <http://mtc-m21d.sid.inpe.br/col/sid.inpe.br/mtc-m21d/2022/08.25.11.46/doc/thisInformationItemHomePage.html >.
ALMEIDA, C. A. et al. Metodologia utilizada nos sistemas PRODES e DETER “não floresta”: monitoramento de áreas constituídas por fitofisionomias não florestais na Amazônia brasileira. São José dos Campos: INPE, 2024.
ALMEIDA, C. A. et al. Nota Técnica sobre a consistência dos sistemas de monitoramento do desmatamento e degradação florestal do INPE. São José dos Campos: Instituto Nacional de Pesquisas Espaciais, 2021. Available at: < http://urlib.net/ibi/8JMKD3MGP3W34T/4AQ9E98 >.
ALVES DE OLIVEIRA, B. F. et al. Deforestation and climate change are projected to increase heat stress risk in the Brazilian Amazon. Communications Earth & Environment, v. 2, n. 1, p. 1-8, 2021/10/01/ 2021. DOI: 10.1038/s43247-021-00275-8
ALVES, D. S. et al. Land use intensification and abandonment in Rondônia, Brazilian Amazônia. International Journal of Remote Sensing, v. 24, n. 4, p. 899-903, 2010. DOI: 10.1080/0143116021000015807
ASSUNÇÃO, J.; GANDOUR, C. C.; ROCHA, R. DETERring Deforestation in the Amazon: Environmental Monitoring and Law Enforcement. American Economic Journal: Applied Economics, v. 15, n. 2, p. 125-156, 2019. DOI: 10.1257/app.20200196
BARBOSA, R. I.; CAMPOS, C. Detection and geographical distribution of clearing areas in the savannas ('lavrado') of Roraima using Google Earth web tool. Journal of Geography and Regional Planning, v. 4, n. 3, p. 122-136, 2011.
BARBOSA, R. I. et al. The "Lavrados" of Roraima: biodiversity and conservation of Brazil's Amazonian savannas. Functional Ecosystems and Communities, v. 1, n. 1, p. 29-41, 2007.
BRASIL. Plano Amazônia Sustentável: diretrizes para o desenvolvimento sustentável da Amazônia Brasileira. Brasília: MMA, 2008.
BRAZ, B. C.; D’ALGE, J. C. AMAZONIA 1: descritivo da missão e do satélite. 2021. Available at: < http://www.inpe.br/amazonia1/sobre_satelite/ >. Acesso em: 16 Feb. 2024.
BUTT, E. W. et al. Amazon deforestation causes strong regional warming. Proceedings of the National Academy of Sciences, v. 120, n. 45, p. e2309123120, 2023/11/07/ 2023. DOI: 10.1073/pnas.2309123120
CARRERO, G. C.; FEARNSIDE, P. M. Forest clearing dynamics and the expansion of landholdings in Apuí, a deforestation hotspot on Brazil’s Transamazon Highway. Ecology and Society, v. 16, n. 2, p. 26 [online], 2011 2011.
CASA CIVIL. Plano de Ação para Prevenção e Controle do Desmatamento da Amazônia Legal (PPCDAm). Fase I. Brasília, DF: 2004
COSTA, N. D. L.; GIANLUPPI, V.; MORAES, A. D. Avaliação da rebrota natural de Axonopus aureus em pastagens nativas dos lavrados de Roraima. Pubvet, v. 5, n. 24, p. e1151, 2011.
COSTA, O. B. D. et al. Spatiotemporal mapping of soybean plantations in Rondônia, Western Brazilian Amazon. Acta Amazonica, v. 47, n. 1, p. 29-38, 2017. DOI: 10.1590/1809-4392201601544
DAVIDSON, E. A. et al. The Amazon basin in transition. Nature, v. 481, n. 7381, p. 321-8, Jan 18 2012. DOI: 10.1038/nature10717
DE CARVALHO, W. D.; MUSTIN, K. The highly threatened and little known Amazonian savannahs. Nature Ecology & Evolution, v. 1, n. 4, p. 100, Mar 23 2017. DOI: 10.1038/s41559-017-0100
DINIZ, C. G. et al. DETER-B: The New Amazon Near Real-Time Deforestation Detection System. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 8, n. 7, p. 3619-3628, 2015. DOI: 10.1109/JSTARS.2015.2437075
DOBLAS, J. et al. DETER-R: An operational near-real time tropical forest disturbance warning system based on Sentinel-1 time series analysis. Remote Sensing, v. 14, n. 15, p. 3658, 2022. DOI: 10.3390/rs14153658
ENRÍQUEZ, M. A. Mineração na Amazônia. Parcerias Estratégicas, v. 19, n. 38, p. 155-197, 2014.
ESA. S2 Mission. 2022. Available at: < https://sentiwiki.copernicus.eu/web/s2-mission >. Acesso em: 15 Feb. 2024.
ESCADA, M. I. S. et al. Processos de ocupação nas novas fronteiras da Amazônia: o interflúvio do Xingu/Iriri. Estudos Avançados, São Paulo, v. 19, p. 9-23, Aug. 2005. DOI: 10.1590/S0103-40142005000200002
FEARNSIDE, P. M. Brazil’s Cuiabá-Santarém (BR-163) highway: the environmental cost of paving a soybean corridor through the Amazon. Environmental Management, Cham, v. 39, p. 601-614, May 2007. DOI: 10.1007/s00267-006-0149-2
FLORES, B. M. et al. Critical transitions in the Amazon forest system. Nature, v. 626, n. 7999, p. 555-564, 2024/02// 2024. DOI: 10.1038/s41586-023-06970-0
GOLLNOW, F. et al. Scenarios of land-use change in a deforestation corridor in the Brazilian Amazon: combining two scales of analysis. Regional Environmental Change, v. 18, n. 1, p. 143-159, 2017. DOI: 10.1007/s10113-017-1129-1
GOLLNOW, F. et al. Property-level direct and indirect deforestation for soybean production in the Amazon region of Mato Grosso, Brazil. Land Use Policy, v. 78, p. 377-385, 2018. DOI: 10.1016/j.landusepol.2018.07.010
HILÁRIO, R. R. et al. The fate of an Amazonian savanna: government land-use planning endangers sustainable development in Amapá, the most protected Brazilian state. Tropical Conservation Science, v. 10, p. 1-8, 2017. DOI: 10.1177/1940082917735416
IBGE. Manual técnico da vegetação brasileira. 2. Rio de Janeiro: IBGE, 2012.
______. Vegetação 1:250.000. 2022. Available at: < https://www.ibge.gov.br/geociencias/informacoes-ambientais/vegetacao/22453-cartas-1-250-000.html?=&t=acesso-ao-produto >. Acesso em: 05 May 2022.
______. Sistema IBGE de Recuperação Automática - SIDRA. 2023. Available at: < https://sidra.ibge.gov.br/home/pimpfrg/nordeste >.
INPE. DETER e DETER INTENSO — Coordenação-Geral de Observação da Terra. 2023a. Available at: < http://www.obt.inpe.br/OBT/assuntos/programas/amazonia/deter >.
______. PRODES Amazônia - Monitoramento do Desmatamento da Floresta Amazônica Brasileira por Satélite. 2023b. Available at: < http://www.obt.inpe.br/OBT/assuntos/programas/amazonia/prodes >. Acesso em: 05 jan 2023.
______. Programa Queimadas. 2023c.
______. Terrabrasilis - Plataforma de dados geográficos. 2023d. Available at: < http://terrabrasilis.dpi.inpe.br/en/home-page/ >.
INPE/FUNCATE. TerraAmazon, v. 7.3.2. 2023. Available at: <http://www.terraamazon.dpi.inpe.br/>.
KUSCHNIG, N. et al. Spatial spillover effects from agriculture drive deforestation in Mato Grosso, Brazil. Scientific Reports, v. 11, n. 1, p. 21804, Nov 8 2021. DOI: 10.1038/s41598-021-00861-y
LI, G. et al. Examining deforestation and agropasture dynamics along the Brazilian TransAmazon Highway using multitemporal Landsat imagery. GIScience & Remote Sensing, v. 56, n. 2, p. 161-183, 2018. DOI: 10.1080/15481603.2018.1497438
LU, D. et al. Spatiotemporal analysis of land use and land cover change in the Brazilian Amazon. International Journal of Remote Sensing, v. 34, n. 16, p. 5953-5978, 2013. DOI: 10.1080/01431161.2013.802825
MACEDO, M. A. D.; TEIXEIRA, W. Sul do Amazonas, nova fronteira agropecuária? O caso do município de Humaitá. XIV Simpósio Brasileiro de Sensoriamento Remoto, 2009, Natal, RN. Natal, RN, 2009.
MAGALHÃES, I. B. et al. Brazilian Cerrado and soy moratorium: effects on biome preservation and consequences on grain production. Land Use Policy, v. 99, p. 105030, 2020. DOI: 10.1016/j.landusepol.2020.105030
MATAVELI, G. A. V. et al. The emergence of a new deforestation hotspot in Amazonia. Perspectives in Ecology and Conservation, v. 19, n. 1, p. 33-36, 2021. DOI: 10.1016/j.pecon.2021.01.002
MERTENS, B. et al. Crossing spatial analyses and livestock economics to understand deforestation processes in the Brazilian Amazon: the case of São Félix do Xingu in South Pará. Agricultural Economics, Darmstadt, v. 27, n. 3, p. 269-294, Nov. 2002. DOI: 10.1016/S0169-5150(02)00076-2
MESSIAS, C. G. et al. Extending DETER into non-forest vegetation areas in the Brazilian Amazon. In: FEITOSA, F. D. F.; VINHAS, L., XXIV Simpósio Brasileiro de Geoinformática, 2023a, São José dos Campos, SP. São José dos Campos, SP: MCTIC/INPE, 2023a.
MESSIAS, C. G. et al. Relatório técnico descritivo de pontos de trabalho de campo: observações em áreas constituídas por fitofisionomias florestais e não florestais em Roraima, no âmbito dos projetos PRODES e DETER. São José dos Campos: INPE, 2023b. Available at: <http://urlib.net/8JMKD3MGP3W34T/4ABMREB >.
MESSIAS, C. G. et al. Unaccounted for natural vegetation loss in the Brazilian Amazon. Communications Earth & Environment, no prelo. 2024. DOI: 10.21203/rs.3.rs-3405875/v1
MUSTIN, K. et al. Biodiversity, threats and conservation challenges in the Cerrado of Amapá, an Amazonian savanna. Nature Conservation, v. 22, p. 107-127, 2017. DOI: 10.3897/natureconservation.22.13823
NEVES, P. A. P. F. G. et al. Correlation among livestock and desforastation in municipalities of southeast region of Pará state, Brazil. Ambiência, Guarapuava, v. 10, n. 3, p. 795-806, Nov. 2014. DOI: 10.5935/ambiencia.2014.03.11
NICFI. NICFI DATA Program User Guide. 2024. Available at: <https://assets.planet.com/docs/NICFI_UserGuidesFAQ.pdf >. Acesso em: 28 Feb. 2024.
PFAFF, A.; ROBALINO, J. Spillovers from conservation programs. Annual Review of Resource Economics, v. 9, n. 1, p. 299-315, Apr. 2017. DOI: 10.1146/annurev-resource-100516-053543
PICOLI, M. C. A. et al. Impacts of public and private sector policies on soybean and pasture expansion in Mato Grosso—Brazil from 2001 to 2017. Land, v. 9, n. 1, p. 20, 2020/01// 2020. DOI: 10.3390/land9010020
RICHARDS, P. et al. Are Brazil's deforesters avoiding detection? Conservation Letters, v. 10, n. 4, p. 470-476, Jul-Aug 2017. DOI: 10.1111%2Fconl.12310
RODRIGUES, C. Produção de soja aumenta 191% em RR em quatro anos e deve bater novo recorde em 2023. g1. 17/08/2023. Available at: < https://g1.globo.com/rr/roraima/noticia/2023/08/17/producao-de-soja-aumenta-191percent-em-rr-em-quatro-anos-e-deve-bater-novo-recorde-em-2023.ghtml >.
ROSA, M. C. O que está por trás das áreas de “não-floresta” do projeto PRODES-INPE no estado de Rondônia? 2017. (Bachelor dissertation) - Universidade de Brasília, Brasília, DF, 2017.
SANTOS, L. B. et al. Proposta metodológica para mapeamento das áreas de não-floresta presentes no projeto de monitoramento de áreas desflorestadas da Amazônia Legal Brasileira. Research, Society and Development, v. 11, n. 4, p. e20411425794, 2022. DOI: 10.33448/rsd-v11i4.25794
SCHAAN, D. Long-term human induced impacts on Marajó Island landscapes, Amazon estuary. Diversity, v. 2, n. 2, p. 182-206, 2010. DOI: 10.3390/d2020182
SHIMABUKURO, Y. E. et al. Using shade fraction image segmentation to evaluate deforestation in Landsat Thematic Mapper images of the Amazon Region. International Journal of Remote Sensing, v. 19, n. 3, p. 535-541, 2010. DOI: 10.1080/014311698216152
SHIMABUKURO, Y. E.; SMITH, J. A. The least-squares mixing models to generate fraction images derived from remote sensing multispectral data. IEEE Transactions on Geoscience and Remote Sensing, v. 29, n. 1, p. 16-20, 1991. DOI: 10.1109/36.103288
SILVA, E. A última fronteira da soja. Revista Globo Rural. Rio de Janeiro, RJ: Editora Globo, p. 28-33. 2016.
SILVA, G. D. F. N.; OLIVEIRA, I. J. Reconfiguration of the landscape in the Amazonian savannas. Mercator, v. 17, p. e17028, 2018. DOI: 10.4215/rm2018.e317028
SILVA, J. D. S. V. D. et al. Evolution of deforestation in the Brazilian Pantanal and surroundings in the timeframe 1976 - 2008. Geografia (Rio Claro), v. 36, n. Special Number, p. 35-55, 2011/11/29/ 2011.
SPA. Executive summary of the Amazon assessment report 2021. New York: United Nations Sustainable Development Solutions Network, 2021.
STAEVIE, P. M. Um balanço das discussões sobre os impactos do agronegócio sobre a Amazônia brasileira. Revista NERA, v. 21, n. 42, p. 98-112, 2018.
WEST, T. A. P.; FEARNSIDE, P. M. Brazil’s conservation reform and the reduction of deforestation in Amazonia. Land Use Policy, Oxford, v. 100, p. 105072, Jan. 2021. DOI: 10.1016/j.landusepol.2020.105072
YOKOMIZO, G. K. I.; COSTA, L. D. N. O uso do cerrado amapaense e os recursos vegetais. Desenvolvimento Regional em Debate, v. 6, n. 3, p. 164-177, 2016. DOI: 10.24302/drd.v6i3.1122
YOSHIKAWA, S.; SANGA-NGOIE, K. Deforestation dynamics in Mato Grosso in the southern Brazilian Amazon using GIS and NOAA/AVHRR data. International Journal of Remote Sensing, v. 32, n. 2, p. 523-544, 2011. DOI: 10.1080/01431160903475225