Integrating Open Data Cube and Brazil Data Cube Platforms for Land Use and Cover Classifications
The potential to perform spatiotemporal analysis of the Earth's surface, fostered by a large amount of Earth Observation (EO) open data provided by space agencies, brings new perspectives to create innovative applications. Nevertheless, these big datasets pose some challenges regarding storage...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universidade Federal de Uberlândia
2021-10-01
|
| Series: | Revista Brasileira de Cartografia |
| Subjects: | |
| Online Access: | http://200.19.146.79/index.php/revistabrasileiracartografia/article/view/60387 |
| _version_ | 1819005591776919552 |
|---|---|
| author | Felipe Menino Carlos Vitor Conrado Faria Gomes Gilberto Ribeiro de Queiroz Felipe Carvalho de Souza Karine Reis Ferreira Rafael Santos |
| author_facet | Felipe Menino Carlos Vitor Conrado Faria Gomes Gilberto Ribeiro de Queiroz Felipe Carvalho de Souza Karine Reis Ferreira Rafael Santos |
| author_sort | Felipe Menino Carlos |
| collection | DOAJ |
| description | The potential to perform spatiotemporal analysis of the Earth's surface, fostered by a large amount of Earth Observation (EO) open data provided by space agencies, brings new perspectives to create innovative applications. Nevertheless, these big datasets pose some challenges regarding storage and analytical processing capabilities. The organization of these datasets as multidimensional data cubes represents the state-of-the-art in analysis-ready data regarding information extraction. EO data cubes can be defined as a set of time-series images associated with spatially aligned pixels along the temporal dimension. Some key technologies have been developed to take advantage of the data cube power. The Open Data Cube (ODC) framework and the Brazil Data Cube (BDC) platform provide capabilities to access and analyze EO data cubes. This paper introduces two new tools to facilitate the creation of land use and land over (LULC) maps using EO data cubes and Machine Learning techniques, and both built on top of ODC and BDC technologies. The first tool is a module that extends the ODC framework capabilities to lower the barriers to use Machine Learning (ML) algorithms with EO data. The second tool relies on integrating the R package named Satellite Image Time Series (sits) with ODC to enable the use of the data managed by the framework. Finally, water mask classification and LULC mapping applications are presented to demonstrate the processing capabilities of the tools. |
| first_indexed | 2024-12-20T23:55:14Z |
| format | Article |
| id | doaj.art-6968144524994548891532fc90e4fd25 |
| institution | Directory Open Access Journal |
| issn | 0560-4613 1808-0936 |
| language | English |
| last_indexed | 2024-12-20T23:55:14Z |
| publishDate | 2021-10-01 |
| publisher | Universidade Federal de Uberlândia |
| record_format | Article |
| series | Revista Brasileira de Cartografia |
| spelling | doaj.art-6968144524994548891532fc90e4fd252022-12-21T19:22:44ZengUniversidade Federal de UberlândiaRevista Brasileira de Cartografia0560-46131808-09362021-10-0173410.14393/rbcv73n4-60387Integrating Open Data Cube and Brazil Data Cube Platforms for Land Use and Cover ClassificationsFelipe Menino Carlos0Vitor Conrado Faria Gomes1Gilberto Ribeiro de Queiroz2Felipe Carvalho de Souza3Karine Reis Ferreira4Rafael Santos5National Institute for Space ResearchInstitute for Advanced StudiesNational Institute for Space ResearchNational Institute for Space ResearchNational Institute for Space ResearchNational Institute for Space ResearchThe potential to perform spatiotemporal analysis of the Earth's surface, fostered by a large amount of Earth Observation (EO) open data provided by space agencies, brings new perspectives to create innovative applications. Nevertheless, these big datasets pose some challenges regarding storage and analytical processing capabilities. The organization of these datasets as multidimensional data cubes represents the state-of-the-art in analysis-ready data regarding information extraction. EO data cubes can be defined as a set of time-series images associated with spatially aligned pixels along the temporal dimension. Some key technologies have been developed to take advantage of the data cube power. The Open Data Cube (ODC) framework and the Brazil Data Cube (BDC) platform provide capabilities to access and analyze EO data cubes. This paper introduces two new tools to facilitate the creation of land use and land over (LULC) maps using EO data cubes and Machine Learning techniques, and both built on top of ODC and BDC technologies. The first tool is a module that extends the ODC framework capabilities to lower the barriers to use Machine Learning (ML) algorithms with EO data. The second tool relies on integrating the R package named Satellite Image Time Series (sits) with ODC to enable the use of the data managed by the framework. Finally, water mask classification and LULC mapping applications are presented to demonstrate the processing capabilities of the tools.http://200.19.146.79/index.php/revistabrasileiracartografia/article/view/60387earth observation data cubeland use and land cover classificationopen data cubebrazil data cube |
| spellingShingle | Felipe Menino Carlos Vitor Conrado Faria Gomes Gilberto Ribeiro de Queiroz Felipe Carvalho de Souza Karine Reis Ferreira Rafael Santos Integrating Open Data Cube and Brazil Data Cube Platforms for Land Use and Cover Classifications Revista Brasileira de Cartografia earth observation data cube land use and land cover classification open data cube brazil data cube |
| title | Integrating Open Data Cube and Brazil Data Cube Platforms for Land Use and Cover Classifications |
| title_full | Integrating Open Data Cube and Brazil Data Cube Platforms for Land Use and Cover Classifications |
| title_fullStr | Integrating Open Data Cube and Brazil Data Cube Platforms for Land Use and Cover Classifications |
| title_full_unstemmed | Integrating Open Data Cube and Brazil Data Cube Platforms for Land Use and Cover Classifications |
| title_short | Integrating Open Data Cube and Brazil Data Cube Platforms for Land Use and Cover Classifications |
| title_sort | integrating open data cube and brazil data cube platforms for land use and cover classifications |
| topic | earth observation data cube land use and land cover classification open data cube brazil data cube |
| url | http://200.19.146.79/index.php/revistabrasileiracartografia/article/view/60387 |
| work_keys_str_mv | AT felipemeninocarlos integratingopendatacubeandbrazildatacubeplatformsforlanduseandcoverclassifications AT vitorconradofariagomes integratingopendatacubeandbrazildatacubeplatformsforlanduseandcoverclassifications AT gilbertoribeirodequeiroz integratingopendatacubeandbrazildatacubeplatformsforlanduseandcoverclassifications AT felipecarvalhodesouza integratingopendatacubeandbrazildatacubeplatformsforlanduseandcoverclassifications AT karinereisferreira integratingopendatacubeandbrazildatacubeplatformsforlanduseandcoverclassifications AT rafaelsantos integratingopendatacubeandbrazildatacubeplatformsforlanduseandcoverclassifications |