Abstract
Since satellite remote sensing of fires started in the 1970s, fire monitoring has become increasingly
important, particularly in the context of mitigating social impacts. Light from fires can be identified in
nighttime satellite imagery featuring the visible part of the electromagnetic spectrum. A procedure for detection
of fire lights and near real-time monitoring of spatial patterns of fire occurrence has been successfully
implemented based on low-light imaging data from the Defense Meteorological Satellite Program, Operational
Linescan System (DMSP-OLS). Satellite based soil moisture data can be used to investigate potential correlations
between soil conditions and water related hazards such as floods and droughts, the latter often closely
associated with wildfire incidence. It is envisaged that regional monitoring of soil moisture can help to
identify changes in the conditions of an ecological system before major impacts take place. Information on
current and previous soil conditions enable identification of potentially hazardous situations.
Originalsprache | Englisch |
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Titel | Computational Vision and Medical Image Processing: VipIMAGE 2011 |
Redakteure/-innen | João Manuel R.S. Tavares, Natal Jorge |
Seiten | 347-353 |
Seitenumfang | 7 |
Publikationsstatus | Veröffentlicht - 2011 |
Research Field
- Ehemaliges Research Field - Energy
- Ehemaliges Research Field - Innovation Systems and Policy
Schlagwörter
- DMSP-OLS
- nighttime lights
- fire detection
- ASCAT
- soil moisture anomaly
- time series