Category: Article 2022

Posted on December 15, 2022January 11, 2023

Using Earth Observation Data Cube to Mapping Burned Areas

by Mateus de Souza Macul¹, Wesley Campanharo¹, Fabiano Morelli¹, Gilberto Ribeiro de Queiroz¹, Karine Reis Ferreira¹ 1National Institute for Space Research (INPE), Brazil GeoInfo: http://mtc-m21d.sid.inpe.br/rep/8JMKD3MGP3W34T/488BPNL Publisher: GeoInfo | Published: 29 November 2022 © Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License. Abstract Earth observation data cubes are multidimensional structures created from Analysis-Ready …

Continue reading “Using Earth Observation Data Cube to Mapping Burned Areas”

Posted on December 15, 2022January 11, 2023

Web Service for extracting Phenological Metrics for Agriculture using time series of satellite images

by Gabriel Kyama Alves¹, Karine R. Ferreira¹, Bruno Schultz, Thiago G. Rodrigues e Luiz F.R. Carvalho 1National Institute for Space Research (INPE), Brazil GeoInfo: http://mtc-m21d.sid.inpe.br/rep/8JMKD3MGP3W34T/488BPNL Publisher: GeoInfo | Published: 29 November 2022 © Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License. Abstract The study of seasonal vegetation patterns observed by remote sensing …

Continue reading “Web Service for extracting Phenological Metrics for Agriculture using time series of satellite images”

Posted on December 15, 2022January 11, 2023

Integranting Analysis Methods During Land Use and Land Cover Sampling

by Abner Ernâni dos Anjos¹, Karine Reis Ferreira¹, Gilberto Ribeiro de Queiroz¹, Fabiana Zioti ¹, Gabriel Sansigolo¹ 1National Institute for Space Research (INPE), Brazil GeoInfo: http://mtc-m21d.sid.inpe.br/rep/8JMKD3MGP3W34T/488BPNL Publisher: GeoInfo | Published: 29 November 2022 © Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License. Abstract The Land Use and Land Cover (LULC) mapping …

Continue reading “Integranting Analysis Methods During Land Use and Land Cover Sampling”

Posted on September 13, 2022September 30, 2022

Generating analysis ready data collections for Brazil

by Rennan F. B. Marujo¹, Karine R. Ferreira¹, Gilberto R. Queiroz¹, Raphael W. Costa¹, Jeferson S. Arcanjo¹, Ricardo C. M. Souza¹ National Institute for Space Research (INPE), Avenida dos Astronautas, 1758, Jardim da Granja, Sao Jose dos Campos, SP 12227-010, Brazil DOI: https://doi.org/10.1109/IGARSS46834.2022.9884104 Publisher: IEEE  | 28 September 2022 Abstract Brazil is a country of continental scale area, …

Continue reading “Generating analysis ready data collections for Brazil”

Posted on June 14, 2022June 14, 2022

Spatiotemporal segmentation of satellite image time series using self-organizing map

by B. L. C. Silva¹, F. C. Souza¹, K. R. Ferreira¹, G. R. Queiroz¹, and L. A. Santos¹ 1National Institute for Space Research (INPE), Brazil DOI: https://doi.org/10.5194/isprs-annals-V-3-2022-255-2022 Publisher: ISPRS | Published: 17 May 2022 © Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License. Abstract Nowadays, researchers have free access to an unprecedentedly …

Continue reading “Spatiotemporal segmentation of satellite image time series using self-organizing map”

Posted on June 14, 2022June 14, 2022

An analysis of the influence of the number of observations in a random forest time series classification to map the forest and deforestation in the Brazilian Amazon

by L. S. Vieira¹, G. R. Queiroz¹, and E. H. Shiguemori² ¹Earth Observation and Geoinformatics Division, National Institute for Space Research, INPE, São José dos Campos 12227-010, Brazil²Surveillance and Reconnaissance Division, Institute for Advanced Studies, IEAv, São José dos Campos 12228-001, Brazil DOI: https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-721-2022 Publisher: ISPRS | Published: 30 May 2022 © Author(s) 2022. This work …

Continue reading “An analysis of the influence of the number of observations in a random forest time series classification to map the forest and deforestation in the Brazilian Amazon”

Posted on June 14, 2022June 14, 2022

Building earth observation data cubes on aws

by K. R. Ferreira¹, G. R. Queiroz¹, R. F. B. Marujo¹, and R. W. Costa¹ 1National Institute for Space Research (INPE), Brazil DOI: https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-597-2022 Publisher: ISPRS | Published: 30 May 2022 © Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License. Abstract Image time series analysis and machine learning methods have been widely …

Continue reading “Building earth observation data cubes on aws”

Posted on December 18, 2021September 13, 2022

A platform for land use and land cover data integration and trajectory analysis

by Fabiana Zioti, Karine R.Ferreira, Gilberto R.Queiroz, Alana K.Neves, Felipe M.Carlos, Felipe C.Souza, Lorena A.Santos and Rolf E.O.Simoes National Institute for Space Research (INPE), Avenida dos Astronautas, 1758, Jardim da Granja, Sao Jose dos Campos, SP 12227-010, Brazil DOI: https://doi.org/10.1016/j.jag.2021.102655 Publisher: ScienceDirect | Published: 18 December 2021. Abstract Information on land use and land cover (LULC) is essential …

Continue reading “A platform for land use and land cover data integration and trajectory analysis”