Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316.2/44622
DC Field | Value | Language |
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dc.contributor.author | Haley, James | |
dc.contributor.author | Caus, Angel Farguell | |
dc.contributor.author | Kochanski, Adam K. | |
dc.contributor.author | Schranz, Sher | |
dc.contributor.author | Mandel, Jan | |
dc.date.accessioned | 2018-11-09T22:43:52Z | |
dc.date.accessioned | 2020-09-05T02:04:26Z | - |
dc.date.available | 2018-11-09T22:43:52Z | |
dc.date.available | 2020-09-05T02:04:26Z | - |
dc.date.issued | 2018 | - |
dc.identifier.isbn | 978-989-26-16-506 (PDF) | |
dc.identifier.uri | https://hdl.handle.net/10316.2/44622 | - |
dc.description.abstract | Data likelihood of fire detection is the probability of the observed detection outcome given the state of the fire spread model. We derive fire detection likelihood of satellite data as a function of the fire arrival time on the model grid. The data likelihood is constructed by a combination of the burn model, the logistic regression of the active fires detections, and the Gaussian distribution of the geolocation error. The use of the data likelihood is then demonstrated by an estimation of the ignition point of a wildland fire by the maximization of the likelihood of MODIS and VIIRS data over multiple possible ignition points. | 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 | Active Fires | eng |
dc.subject | MODIS | eng |
dc.subject | VIIRS | eng |
dc.subject | Coupled Fire-Atmosphere Modeling | eng |
dc.subject | Remote Sensing | eng |
dc.subject | Maximum Likelihood | eng |
dc.subject | Data Assimilation | eng |
dc.subject | Data-Driven Simulation | eng |
dc.title | Data likelihood of active fires satellite detection and applications toignition estimation and data assimilation | por |
dc.type | bookPart | por |
uc.publication.firstPage | 959 | - |
uc.publication.lastPage | 968 | - |
uc.publication.location | Coimbra | por |
dc.identifier.doi | 10.14195/978-989-26-16-506_105 | - |
uc.publication.section | Chapter 5 - Decision Support Systems and Tools | por |
uc.publication.digCollection | PB | por |
uc.publication.orderno | 105 | - |
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/10316.2/44622/200912/manifest?manifest=/json/iiif/10316.2/44622/200912/manifest | - |
uc.publication.thumbnail | https://dl.uc.pt/retrieve/11016193 | - |
uc.publication.parentItemId | 55072 | - |
uc.itemId | 68185 | - |
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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data_likelihood_of_active_fires.pdf | 1.3 MB | Adobe PDF | ![]() |
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