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2 de outubro de 202022 de dezembro de 2021

Stmetrics: A Python Package for Satellite Image Time-Series Feature Extraction

by Anderson R. Soares¹; Hugo N. Bendini¹; Daiane V. Vaz¹; Tatiana D. T. Uehara¹; Alana K. Neves¹; Sarah Lechler²; Thales S. Körting¹; Leila M. G. Fonseca¹ ¹General Coordination of Earth Observation – OBT, Brazil’s National Institute for Space Research (INPE), São José dos Campos, SP, Brazil ²Institute for Geoinformatics, University of Muenster DOI: https://doi.org/10.1109/IGARSS39084.2020.9323346 Publisher: IEEE Explorer | Published: 2 Oct. 2020 Published in: IGARSS …

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18 de setembro de 202022 de dezembro de 2021

Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review

by Michel E. D. Chaves *,Michelle C. A. Picoli and Ieda D. Sanches General Coordination of Earth Observation (OBT), Remote Sensing Division (DSR), National Institute for Space Research (INPE), Av. dos Astronautas, São José dos Campos 1758, Brazil Remote Sens. 2020, 12(18), 3062; https://doi.org/10.3390/rs12183062 Publisher: mdpi | Published: 18 September 2020 Abstract Recent applications of Landsat 8 Operational Land Imager (L8/OLI) and …

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13 de agosto de 202022 de dezembro de 2021

Using Remote Sensing Images and Cloud Services on Aws to Improve Land Use and Cover Monitoring

by K. R. Ferreira; G. R. Queiroz; G. Camara; R. C. M. Souza; L. Vinhas; R. F. B. Marujo; R. E. O. Simoes; C. A. F. Noronha; R. W. Costa; J. S. Arcanjo; V. C. F. Gomes; M. C. Zaglia Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE), Avenida dos Astronautas, 1758, Jardim …

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13 de agosto de 202022 de dezembro de 2021

An Unsupervised Segmentation Method For Remote Sensing Imagery Based On Conditional Random Fields

by A. R. Soares; T. S. Körting; L. M. G. Fonseca; A. K. Neves Coordination of Earth Observation (OBT) – Brazil’s National Institute for Space Research (INPE) Av. dos Astronautas, São José dos Campos – SP, Brazil DOI: https://doi.org/10.1109/LAGIRS48042.2020.9165623 Publisher: IEEE | Published: 12 August 2020 Published in: 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS) …

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3 de agosto de 202022 de dezembro de 2021

CBERS Data Cube: A powerful tecnology for mapping and monitoring brazilian biomes

by M. C. A. Picoli, R. Simoes, M. Chaves, L. A. Santos, A. Sanchez, A. Soares, I. D. Sanches, K. R. Ferreira, and G. R. Queiroz General Coordination of Earth Observation (OBT) – Brazil’s National Institute for Space Research (INPE), Av. dos Astronautas, 1758, São José dos Campos – SP, Brazil DOI: https://doi.org/10.5194/isprs-annals-V-3-2020-533-2020 Publisher: ISPRS | Published: …

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18 de abril de 202022 de dezembro de 2021

Comparison of Cloud Cover Detection Algorithms on Sentinel–2 Images of the Amazon Tropical Forest

by Alber Hamersson Sanchez 1,, Michelle Cristina A. Picoli 2, , Gilberto Camara 2, , Pedro R. Andrade 1, , Michel Eustaquio D. Chaves 3,, Sarah Lechler 4, Anderson R. Soares 2, Rennan F. B. Marujo 2, Rolf Ezequiel O. Simões 2, Karine R. Ferreira 2 and Gilberto R. Queiroz 2 1Earth System Science Center, National Institute for Space Research—INPE, São José dos Campos 12227-010, Brazil 2Image Processing …

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27 de janeiro de 202022 de dezembro de 2021

Land use and cover maps for Mato Grosso State in Brazil from 2001 to 2017

by Rolf Simoes¹, Michelle C. A. Picoli¹, Gilberto Camara², Adeline Maciel¹, Lorena Santos¹, Pedro R. Andrade¹, Alber Sánchez¹, Karine Ferreira¹ & Alexandre Carvalho³ ¹Brazil’s National Institute for Space Research (INPE), São José dos Campos, Brazil. ²Group on Earth Observations (GEO), Geneva, Switzerland. ³Institute of Applied Economic Research (IPEA), Brasília, Brazil. DOI: https://doi.org/10.6084/m9.figshare.11440461 Publisher: Nature | Published: 27 January 2020 Abstract This paper presents a dataset of yearly …

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13 de janeiro de 202022 de dezembro de 2021

Impacts of Public and Private Sector Policies on Soybean and Pasture Expansion in Mato Grosso—Brazil from 2001 to 2017

by Michelle C. A. Picoli 1, Ana Rorato 1, Pedro Leitão 2,3, Gilberto Camara 1,4, Adeline Maciel 1, Patrick Hostert 3,5 and Ieda Del’Arco Sanches 1 1National Institute for Space Research (INPE), São José dos Campos 12227-010, Brazil 2Department Landscape Ecology and Environmental Systems Analysis, Technisches Universität Braunschweig, 38106 Braunschweig, Germany 3Geography Department, Humboldt-Universität zu Berlin, 12489 Berlin, Germany 4Group on Earth Observations (GEO), …

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13 de novembro de 201916 de abril de 2024

GGSOM: Ferramenta de visualização baseada em mapas auto-organizáveis

por Felipe Carvalho de Souza¹, Rafael Duarte Coelho dos Santos¹, Karine Reis Ferreira¹ 1-Instituto Nacional de Pesquisas Espaciais (INPE) Sao José dos Campos – SP – Brazil ISSN: 2179-4847 Publisher: XX GEOINFO | Publicado em : 13 de Novembro de 2019. Resumo A análise de dados multidimensionais e séries temporais é útil e aplicável em diferentes contextos, …

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13 de novembro de 201916 de abril de 2024

Analise de ferramentas para processamento de grandes volumes de dados espaço-temporais

por Fabiana Zioti¹, Giberto Ribeiro de Queiroz¹, Karine Reis Ferreira¹ 1- Instituto Nacional de Pesquisas Espaciais (INPE) Caixa Postal 515 – Av. dos Astronautas, 1758, Jardim da Granja – SP – Brasil ISSN: 2179-4847 Publisher: XX GEOINFO | Publicado em: 13 de November de 2019. Resumo Dados espaciais desempenham um papel crucial em estudos socioambientais para definições …

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