Data · dataset · 2018
Estimating Fire Background Temperature at a Geostationary Scale—An Evaluation of Contextual Methods for AHI-8
Listed in DANS Data Station Physical and Technical Sciences
An integral part of any remotely sensed fire detection and attribution method is an estimation of the target pixel’s background temperature.
Description
This temperature cannot be measured directly independent of fire radiation, so indirect methods must be used to create an estimate of this background value. The most commonly used method of background temperature estimation is through derivation from the surrounding obscuration-free pixels available in the same image, in a contextual estimation process.
This method of contextual estimation performs well in cloud-free conditions and in areas with homogeneous landscape characteristics, but increasingly complex sets of rules are required when contextual coverage is not optimal. The effects of alterations to the search radius and sample size on the accuracy of contextually derived brightness temperature are heretofore unexplored. This study makes use of imagery from the AHI-8 geostationary satellite to examine contextual estimators for deriving background temperature, at a range of contextual window sizes and percentages of valid contextual information.
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Results show that while contextual estimation provides accurate temperatures for pixels with no contextual obscuration, significant deterioration of results occurs when even a small portion of the target pixel’s surroundings are obscured. To maintain the temperature estimation accuracy, the use of no less than 65% of a target pixel’s total contextual coverage is recommended. The study also examines the use of expanding window sizes and their effect on temperature estimation.
Results show that the accuracy of temperature estimation decreases significantly when expanding the examined window, with a 50% increase in temperature variability when using a larger window size than 5×5 pixels, whilst generally providing limited gains in the total number of temperature estimates (between 0.4%–4.4% of all pixels examined). The work also presents a number of case study regions taken from the AHI-8 disk in more depth, and examines the causes of excess temperature variation over a range of topographic and land cover conditions.
Dataset consists of three zipped files containing netCDF4 images for the selected times and locations outlined in Hally et al. 2018. The images contained in the FULLDISK files are cloudmask products for the days and times in the file names - file naming convention starts with YYYYMMDDHHmm, with the produced cloudmask corresponding to this UTC time of image capture. The files themselves consist of a masked binary array, with values of 0 assigned to pixels clear of cloud, and values of 1 applied to pixels where cloud is detected.
Masked values are either pixels external to the imaged disk, or pixels that have an ocean mask applied (see dap.nci.org.au/thredds/remoteCatalogService?command=subset&catalog=http://dapds00.nci.org.au/thredds/catalog/rr5/satellite/obs/himawari8/FLDK/ancillary/catalog.xml&dataset=rr5/satellite/obs/himawari8/FLDK/ancillary/20150127000000-P1S-ABOM_GEOM_LAND-PRJ_GEOS141_2000-HIMAWARI8-AHI.nc for further information).
EXTRADATA_SMALLFILES files are subset files of the fulldisk based upon the coordinates given from Hally et al 2018. These files consist of arrays that are 301 x 301 pixels in size - the last row and column is empty and should be discarded before further use. The timestamps are as demonstrated with the fulldisk versions, and the file folders are the only descriptor of the location given.
The netCDF4 metadata of all of the files supplied has not been changed from the ABOM dataset that the cloudmask is based upon, and as such should NOT be trusted as truthful data. References: Hally, B., Wallace, L., Reinke, K., Jones, S., Engel, C., & Skidmore, A. (2018). Estimating Fire
Background
Temperature at a Geostationary Scale—An Evaluation of Contextual Methods for AHI-8. Remote Sensing, 10(9). doi.org/10.3390/rs10091368
Links
Where it is published
- Dataverse dataset page phys-techsciences.datastations.nl/dataset.xhtml?persistentId=doi%3A10.17026%2FDANS-2CH-QSU5 ↗
landing page · from phys techsciences datastations nl
- DOI doi.org/10.17026/dans-2ch-qsu5 ↗
DOI / persistent id · from phys techsciences datastations nl
Catalogue records · 1
- Dataverse API phys-techsciences.datastations.nl/api/datasets/:persistentId/?persistentId=doi%3A10.17026%2FDANS… ↗
metadata API · from phys techsciences datastations nl
Topics
- Stated by source
- Earth and Environmental Sciences
- From keywords
- Earth & Environmental Science
- Inferred from text
- Image 75% · Satellite remote sensing 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DANS Data Station Physical and Technical Sciences | doi:10.17026/DANS-2CH-QSU5 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:earth-and-environmental-sciences | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[modality].local:modality:image | enrichment · phys techsciences datastations nl | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:remote-sensing | enrichment · phys techsciences datastations nl | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| description | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /description |
| publication_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| title | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /name |
| updated_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| version_label | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 |