Wildfires: GIS and Remote Sensing Monitoring and Mangement

 



Forests cover 20.55% of total India's geographic area. This large forest area requires proper timely monitoring and assessment as there are various problems that cause forest degradation and affects the ecosystem to a large extent. Forest Fires are one of these problems. As per the report of Forest Sir of India, 50% of the forest land is prone to fire. The risk of forest fire is at an alarming rate in India, so it requires a proper risk assessment and monitoring report. Geospatial data and tools are employed in this field to manage the forest fires in India. Satellite imagery and aerial photography are used in mapping, high-resolution sensors are used to detect the fires. As these forest fires contribute to environmental consequences, we have most recently observed Amazon forest fires and forest fires in Australia, which are devastating, species have been killed, the land has been destroyed, air pollution and many more ill effects have taken into place. So, this is really an important issue to be resolved and authorities have started investing huge money into this sector to conserve forest lands.




Fire management:





During the middle 1990s, using Satellite imagery data and conducting global surveys to detect the burning of the biomass and it's plumes and their dispersal in the atmosphere will help us in studying and analyzing the patterns of a forest fire. Global Ozone Monitoring Experiment and along with Scanning Imaging Absorption Spectrometer Cartography/Chemistry sensor helps us in the mapping of CO and O3 columns. During the 1997-1998 ESA ERS-2 has helped in assessment modeling of the forest fires.

EOS-A is providing a platform in the late 1990s for CO global mapping, it uses the MOPPIT  or TRACER sensors.EOS-B is providing a platform for vertical and horizontal mapping of variable traced species which includes Carbon monoxide, ozone, nitrogen, and ammonia.



Fire Risk Mapping Model




GIS and Remote Sensing in fire management and it's potential:

In the last three decades particularly, the advancement in GIS and Remote sensing technology is providing better results in wild forest fires. Areas with limited access to technology suffer more as detecting wildland fires is difficult in those areas. 

  • Fire potential- it depends upon the amount of vegetation that can be dead or live present in that area. The research project FIRE was launched by global resource and environmental monitoring in 1994 to address the issue. To estimate the vegetation, it requires a high-quality map derived from sensors with particularly high resolution such as SPOT, IRS, Landsat, etc.

  • Fire detection- Satellite sensors are specifically used to detect the fire, the detection of fire is only possible in a few Bands which includes visible, thermal, and mid-infrared bands. Active fires can be detected thermal or mid-infrared signatures during the day time or by lighting caused by fire during the night time. Various Satellites are used to store spatial data during day and night which are beneficial for further assessments.

  • Fire monitoring- it is different from fire detection as it places more emphasis on image processing and high resolution airborne thermal infrared sensors are deployed for maps which are further used for monitoring.

  • Fire assessment- it is a post-fire activity, it requires a combination of both high( SPOT, Landsat) and low resolution(AVHRR) sensors. The best way to assess the fire impact on land and environment, Radar is considered to be the best option. It can assess the severity, extent of the fire, loss of land, and vegetation. 


Spatial modeling techniques for forest fire risk assessment:






Why is it important?




It's been decades since we have been facing devastating wildfires in our forests which are severely impacting our forests, species population, habitat loss, etc. This is not just an ecological loss it includes economic loss, which cannot be compensated easily. The damage to the ecological niches is irreversible. 
The increasing global temperature is the leading cause of wildfires, predictions state that it will increase year by year. So, we need to rethink our policies and monitoring system to mitigate such devastating incidents.



The annual budget allocated for the monitoring and management need to be increased so that proper actions must be taken to carry out extensive surveys and studies. 
There is an urgent need to address the topic for the state and central governments otherwise the results will make them spent 10 times more capital.
It is good to invest early and take precautionary then to wait for the disaster to happen.
Local communities get worst affected by such incidents government must consider their livelihood activities into consideration before planning any policies related to Wildlife.

Conclusion: India is losing it's green cover at an alarming rate, for conserving our forest land we require a Sustainable Management approach. GIS and remote sensing are considered to be crucial technologies we have, as in the long run these technologies are more efficient in any manner, saves time, and are more economic in the long run. The geographic information system helps in organizing proper data sets that can be analyzed using various geospatial tools. We can create maps using these tools, forest cover mapping using space Satellite technology is already in operation. We have designed a model of fire risk assessment using GIS tools which is beneficial for us to assess the risk of fire and monitoring. Forest fire causes both economic and environmental damage which is a concern of everyone these days. Lastly, more improvement is needed to manage the forest fire, assessment, monitoring, etc which can be done by integrating public and private sectors.







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