Brennan, J;
Gomez-Dans, J;
Lewis, P;
Chernetskiy, M;
Heil, A;
(2018)
Uncertainty for Burnt Area Products.
In:
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.
(pp. pp. 1808-1811).
IEEE: Valencia, Spain.
Preview |
Text
Gomez-Dans UNCERTAINTY FOR BURNTIGARSS2.pdf - Accepted Version Download (1MB) | Preview |
Abstract
Burnt area (BA) products are usually provided as a binary mask, indicating whether within a particular time interval, a pixel has or has not burnt. However, this is an inference derived from assessing e.g. the change in reflectance due to the fire. These calculations are prone to uncertainty from a number of sources: thermal noise in the sensor, residual atmospheric correction shortcomings or insufficient temporal sampling, etc. In this contribution, we aim to provide a framework for uncertainty characterisation of BA products. The uncertainty framework is Bayesian in nature, and provides a way to propagate uncertainty from the observations, across scales, but also allows one to propagate uncertainty in algorithm parameterisation. We illustrate the framework with a simple example based on logistic regression. Finally, we discuss how the uncertainty at the pixel level can be aggregated to the climate modeller grid (CMG), providing a consistent way to treat uncertainty from the observations and algorithm parameters to the final products
Type: | Proceedings paper |
---|---|
Title: | Uncertainty for Burnt Area Products |
Event: | 38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
Location: | Valencia, SPAIN |
Dates: | 22 July 2018 - 27 July 2018 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/IGARSS.2018.8518257 |
Publisher version: | https://doi.org/10.1109/IGARSS.2018.8518257 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Uncertainty, Burnt Area, ECV |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Space and Climate Physics UCL > Provost and Vice Provost Offices > UCL SLASH UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Geography |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10073164 |
Archive Staff Only
View Item |