Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316.2/44707
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gil, Eduardo Moreno | |
dc.contributor.author | Viana-Soto, Alba | |
dc.contributor.author | Aguado, Inmaculada | |
dc.contributor.author | Martínez, Susana | |
dc.contributor.author | Clemente, Julia | |
dc.date.accessioned | 2018-11-11T15:21:45Z | |
dc.date.accessioned | 2020-09-06T17:31:07Z | - |
dc.date.available | 2018-11-11T15:21:45Z | |
dc.date.available | 2020-09-06T17:31:07Z | - |
dc.date.issued | 2018 | - |
dc.identifier.isbn | 978-989-26-16-506 (PDF) | |
dc.identifier.uri | https://hdl.handle.net/10316.2/44707 | - |
dc.description.abstract | The main objective of this study is to develop a web visualization tool which allows recognizing post-fire vegetation regeneration at pixel level from selected burned areas. Regeneration trajectories are based on the variations that spectral indices have (NDVI, NBR and TCW). Making use of the Earth Engine Code Editor platform (EECE) has been possible through the use of JavaScript language and other algorithms already integrated in Google Earth Engine (GEE), to generate those indices from Landsat time series (1984-present). Moreover, we implemented the graphical interface with which the user can visualize and interact with results and additional information. | eng |
dc.language.iso | eng | - |
dc.publisher | Imprensa da Universidade de Coimbra | por |
dc.relation.ispartof | http://hdl.handle.net/10316.2/44517 | por |
dc.rights | open access | - |
dc.subject | post-fire regeneration | eng |
dc.subject | Large Forest Fires | eng |
dc.subject | remote sensing | eng |
dc.subject | Google Earth Engine | eng |
dc.subject | Landsat time series | eng |
dc.subject | temporal trajectories | eng |
dc.title | RPI Engine: visualization in a web environment of post-fire regeneration using Landsat time series | por |
dc.type | bookPart | por |
uc.publication.firstPage | 1396 | - |
uc.publication.lastPage | 1400 | - |
uc.publication.location | Coimbra | por |
dc.identifier.doi | 10.14195/978-989-26-16-506_189 | - |
uc.publication.section | Chapter 7 - Short Contributions | por |
uc.publication.digCollection | PB | por |
uc.publication.orderno | 190 | - |
uc.publication.area | Ciências da Engenharia e Tecnologias | por |
uc.publication.bookTitle | Advances in forest fire research 2018 | - |
uc.publication.manifest | https://dl.uc.pt/json/iiif/10316.2/44707/203991/manifest?manifest=/json/iiif/10316.2/44707/203991/manifest | - |
uc.publication.thumbnail | https://dl.uc.pt/retrieve/11056905 | - |
uc.publication.parentItemId | 55072 | - |
uc.itemId | 68792 | - |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
Appears in Collections: | Advances in forest fire research 2018 |
Files in This Item:
File | Description | Size | Format | |
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rpi_engine__visualization_in_a_web_environment.pdf | 843.58 kB | Adobe PDF |
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