Next Article in Journal
Marsh Loss Due to Cumulative Impacts of Hurricane Isaac and the Deepwater Horizon Oil Spill in Louisiana
Previous Article in Journal
Monitoring the Rapid-Moving Reactivation of Earth Flows by Means of GB-InSAR: The April 2013 Capriglio Landslide (Northern Appennines, Italy)
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessArticle
Remote Sens. 2017, 9(2), 167; doi:10.3390/rs9020167

A Broad-Area Method for the Diurnal Characterisation of Upwelling Medium Wave Infrared Radiation

1
School of Science, RMIT University, Melbourne 3000, Australia
2
Bushfire and Natural Hazards Co-operative Research Centre, Melbourne 3000, Australia
3
Faculty for Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede 7500AA, The Netherlands
*
Author to whom correspondence should be addressed.
Academic Editors: Ruiliang Pu, Ioannis Gitas and Prasad S. Thenkabail
Received: 15 December 2016 / Revised: 9 February 2017 / Accepted: 13 February 2017 / Published: 17 February 2017
View Full-Text   |   Download PDF [3449 KB, uploaded 17 February 2017]   |  

Abstract

Fire detection from satellite sensors relies on an accurate estimation of the unperturbed state of a target pixel, from which an anomaly can be isolated. Methods for estimating the radiation budget of a pixel without fire depend upon training data derived from the location’s recent history of brightness temperature variation over the diurnal cycle, which can be vulnerable to cloud contamination and the effects of weather. This study proposes a new method that utilises the common solar budget found at a given latitude in conjunction with an area’s local solar time to aggregate a broad-area training dataset, which can be used to model the expected diurnal temperature cycle of a location. This training data is then used in a temperature fitting process with the measured brightness temperatures in a pixel, and compared to pixel-derived training data and contextual methods of background temperature determination. Results of this study show similar accuracy between clear-sky medium wave infrared upwelling radiation and the diurnal temperature cycle estimation compared to previous methods, with demonstrable improvements in processing time and training data availability. This method can be used in conjunction with brightness temperature thresholds to provide a baseline for upwelling radiation, from which positive thermal anomalies such as fire can be isolated. View Full-Text
Keywords: fire detection; upwelling radiation; diurnal variation; training data; geostationary sensors fire detection; upwelling radiation; diurnal variation; training data; geostationary sensors
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Hally, B.; Wallace, L.; Reinke, K.; Jones, S. A Broad-Area Method for the Diurnal Characterisation of Upwelling Medium Wave Infrared Radiation. Remote Sens. 2017, 9, 167.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top