@article {bnh-3427, title = {Assessing the utility of the TET-1 hotspot detection and characterization algorithm for determining wildfire size and temperature}, journal = {International Journal of Remote Sensing}, volume = {37}, year = {2016}, month = {09/2016}, pages = {4731-4747}, chapter = {4731}, abstract = {

The detection and characterization of wildfires using satellite remote-sensing systems has improved considerably over the last 30 years, with daily, global coverage maintained by a number of satellite systems. The recent deployment of new satellite systems, such as Technologie-Erprobungs-Tr{\"a}ger-1 (TET-1/Technology-Experiments-Carrier-1), with a higher spatial resolution than the current satellite sensing systems employed for global fire detection, presents an opportunity to investigate the utility and accuracy of the TET-1 detection and characterization algorithm in detecting fires over a range of areas and temperatures. In this study, simulated fire landscapes were generated based on varying fire area (1{\textendash}100,000\ m2) and fire temperature (450{\textendash}1200\ K) and passed through the TET-1 algorithm. The results indicate the TET-1 algorithm to estimate fire area to {\textpm}12\% and fire temperature to {\textpm}3\%, which implies that under the test conditions, the products generated by TET-1 have a low systematic error.

}, doi = {10.1080/01431161.2016.1204026}, url = {http://www.tandfonline.com/doi/full/10.1080/01431161.2016.1204026}, author = {Simon Mitchell and Simon Jones and Karin Reinke and Eckehard Lorenz and Ralf Reulke} }