Characterising fire hazard from temporal sequences of thermal infrared MODIS measurements (poster)

Title

Characterising fire hazard from temporal sequences of thermal infrared MODIS measurements (poster)

 Author

Maffei, C.
Alfieri, S.M.
Menenti, M.

Faculty

Civil Engineering and Geosciences

 Department

Geoscience & Remote Sensing

 Date

2013-03-07

 Abstract

Vegetation moisture and temperature are the most variable factors determining fire hazard. Prolonged heat and absence of rainfall drive vegetation into water stress conditions; this leads to an increase (anomaly) of vegetation temperature that can be recorded by remote sensing instruments. Since stressed vegetation is more prone to fire, there might be a potential role for Earth observation technologies in mapping fire hazard. To identify anomalies, reference temperatures against which evaluate current measurements must be defined. The HANTS (Harmonic ANalysis of Time Series) algorithm may accomplish this task, but its effectiveness in providing a reference useful for the assessment of fire hazard is still unexplored. The objective of the present research was to characterise fire hazard from anomalies of daily land surface temperature (LST) derived from MODIS measurements. Since maps of HANTS coefficients provide a detailed characterisation of the spatial and temporal pattern of surface temperatures, their potential to explain spatial patterns of fire events was also investigated.

 To reference this document use:

http://resolver.tudelft.nl/uuid:4a60c128-cbd7-4e3d-9690-55a902f5eff0

 Source

Interactief Congres Natuurbranden, Stroe, The Netherlands

 Part of collection

Institutional Repository

 Document type

conference paper

 Rights

(c) 2013 The Author(s)
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