Forest fires are one of serious problems and affect the balance of the forest that had a highly detrimental both economically and politically. From the economic side resulted in the loss and degradation of forest resources and enormous disruption of the ecological balance of forests. In the political sphere may interfere with the relationship
with neighboring countries due to forest fire smoke. In addition, the fire caused smoke to disrupt air traffic and air pollution. Therefore, early in anticipation of more widespread occurrence and the damage to forest resources from forest fires required an effort to monitor the titiktitik fire (hot spots), especially with the use of remote sensing technologies (remote sensing). Utilization of remote sensing technology is expected to provide
more accurate information, covering a large area and relatively fast.
With the launch of TERRA satellite (which operates during the day) and AQUA (operating at night) that carry the sensors MODIS (Moderate Resolution Imaging Spectroradiometer) is expected to provide a relatively better ability than NOAAAVHRR.
This is because, MODIS has a broader scope, which is 2330 km with a spatial resolution that is relatively better, which is 250 m (channels 1 and 2), 500 m (channel 3 through 7) and 1000 m (channels 8 through 36) and
temporal resolution of 1-2 days. In addition, MODIS has a window / channel and a narrower spectral range. However, these satellites are in operation and application data are still relatively new, especially the detection of fires as an indicator of forest fires to parts of Indonesia.
It is therefore necessary to an assessment for the application data.
Detection of fires with MODIS Data can be done by utilizing the canals that have a wavelength of 4μm and 11μm, while the 250 m resolution channels can be used to estimate the broad
active fires and fire scars. This study is an attempt to study the extraction of data points of fire by applying several models and MODIS channels. However, the results of extraction have not been validated in the field or in comparison with the data extracted from other types of satellites. The points of fire is defined as the points on the image (pixel or sub-pixels) which has a very high temperature and is associated with active fire (flames) on the surface of the earth. According to a shift in WIEN'S law, the temperature ranged from 400 to 700 OK OK on the surface of the earth. Meanwhile, the fire point temperature can be generated based on the value of the brightness temperature (Temperature Brightness = Tb),
which can be derived based on equations developed by D'Souza (1993). This study is the analysis of MODIS channels application and algorithm / model extraction points of the data MODIS fire.
with neighboring countries due to forest fire smoke. In addition, the fire caused smoke to disrupt air traffic and air pollution. Therefore, early in anticipation of more widespread occurrence and the damage to forest resources from forest fires required an effort to monitor the titiktitik fire (hot spots), especially with the use of remote sensing technologies (remote sensing). Utilization of remote sensing technology is expected to provide
more accurate information, covering a large area and relatively fast.
With the launch of TERRA satellite (which operates during the day) and AQUA (operating at night) that carry the sensors MODIS (Moderate Resolution Imaging Spectroradiometer) is expected to provide a relatively better ability than NOAAAVHRR.
This is because, MODIS has a broader scope, which is 2330 km with a spatial resolution that is relatively better, which is 250 m (channels 1 and 2), 500 m (channel 3 through 7) and 1000 m (channels 8 through 36) and
temporal resolution of 1-2 days. In addition, MODIS has a window / channel and a narrower spectral range. However, these satellites are in operation and application data are still relatively new, especially the detection of fires as an indicator of forest fires to parts of Indonesia.
It is therefore necessary to an assessment for the application data.
Detection of fires with MODIS Data can be done by utilizing the canals that have a wavelength of 4μm and 11μm, while the 250 m resolution channels can be used to estimate the broad
active fires and fire scars. This study is an attempt to study the extraction of data points of fire by applying several models and MODIS channels. However, the results of extraction have not been validated in the field or in comparison with the data extracted from other types of satellites. The points of fire is defined as the points on the image (pixel or sub-pixels) which has a very high temperature and is associated with active fire (flames) on the surface of the earth. According to a shift in WIEN'S law, the temperature ranged from 400 to 700 OK OK on the surface of the earth. Meanwhile, the fire point temperature can be generated based on the value of the brightness temperature (Temperature Brightness = Tb),
which can be derived based on equations developed by D'Souza (1993). This study is the analysis of MODIS channels application and algorithm / model extraction points of the data MODIS fire.