A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Development of an algorithm to detect forest fires in Scandinavia using NOAA AVHRR sensor data
Forests play an important role in the society and economy of Scandinavian countries and Finland. Airborne and ground based means of surveillance are not enough to detect forest fires in the vast areas of forest of these countries. Satellite-borne detection of forest fires based on remote sensing techniques facilitates the early recognition of forest fires in remote places, augmenting the traditional methods of detection. The purpose of this thesis is to develop an algorithm to detect forest fires in Scandinavia and Finland using data from one of the most used sensors in fire detection, the AVHRR instrument carried onboard NOAA environmental satellites.AVHRR data, provided in form of data sets, contain the brightness temperatures and albedos of different wavelength channels from measurements taken by the instrument. The working principles of the algorithm are based on comparing the brightness temperatures of the 3.7 μm channel and other channels with a series of thresholds to select those hot pixels caused by true forest fires and exclude false fire pixels. Several tests based on thresholds have been developed to be applied to the data sets in order to detect true forest fires and eliminate false fires caused by non-fire objects. As output, the algorithm gives the location of the forest fires. The number of true forest fires detected depends on the thresholds selected and the spatial resolution of the sensors and the data. The satellite detected fire pixels are later calibrated with ground truth data. By means of calibration of the algorithm, the thresholds are set in order to detect as many true forest fires as possible without getting too many false fires.On the basis of the results obtained from the algorithm, it has been demonstrated that the algorithm accomplishes with the task of detecting forest fires in Scandinavia and Finland. However, a large number of forest fires are missed due to the reduced resolution data employed and the process of obtaining it, which excludes a large part of the observations. ...
Development of an algorithm to detect forest fires in Scandinavia using NOAA AVHRR sensor data
Forests play an important role in the society and economy of Scandinavian countries and Finland. Airborne and ground based means of surveillance are not enough to detect forest fires in the vast areas of forest of these countries. Satellite-borne detection of forest fires based on remote sensing techniques facilitates the early recognition of forest fires in remote places, augmenting the traditional methods of detection. The purpose of this thesis is to develop an algorithm to detect forest fires in Scandinavia and Finland using data from one of the most used sensors in fire detection, the AVHRR instrument carried onboard NOAA environmental satellites.AVHRR data, provided in form of data sets, contain the brightness temperatures and albedos of different wavelength channels from measurements taken by the instrument. The working principles of the algorithm are based on comparing the brightness temperatures of the 3.7 μm channel and other channels with a series of thresholds to select those hot pixels caused by true forest fires and exclude false fire pixels. Several tests based on thresholds have been developed to be applied to the data sets in order to detect true forest fires and eliminate false fires caused by non-fire objects. As output, the algorithm gives the location of the forest fires. The number of true forest fires detected depends on the thresholds selected and the spatial resolution of the sensors and the data. The satellite detected fire pixels are later calibrated with ground truth data. By means of calibration of the algorithm, the thresholds are set in order to detect as many true forest fires as possible without getting too many false fires.On the basis of the results obtained from the algorithm, it has been demonstrated that the algorithm accomplishes with the task of detecting forest fires in Scandinavia and Finland. However, a large number of forest fires are missed due to the reduced resolution data employed and the process of obtaining it, which excludes a large part of the observations. ...
Development of an algorithm to detect forest fires in Scandinavia using NOAA AVHRR sensor data
Martínez Blasco, José Ignacio (author)
2014-01-01
Theses
Electronic Resource
English
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