2009
DOI: 10.1007/s10310-009-0116-x
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Forest fire in India: a review of the knowledge base

Abstract: Forest fire has profound impacts on atmospheric chemistry, biogeochemical cycling and ecosystem structure. This feedback interaction may be hastened in climate change scenarios. In view of this, the present day knowledge about the forest fire condition in India has been reviewed. Operational monitoring, geospatial modelling and climate change uncertainties are discussed. Indicators for forest fire assessment and the role of geoinformatics tools in developing those parameters are identified. The need for develo… Show more

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Cited by 64 publications
(40 citation statements)
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“…SWIR channel is considered more suitable for identifying hotspots, since the maximum Planck black body radiance shifts to shorter wavelengths as temperature increases. The usefulness of the SWIR channel has long been recognized for monitoring forest fires [1,13]. analysis [21].…”
Section: Methodsmentioning
confidence: 99%
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“…SWIR channel is considered more suitable for identifying hotspots, since the maximum Planck black body radiance shifts to shorter wavelengths as temperature increases. The usefulness of the SWIR channel has long been recognized for monitoring forest fires [1,13]. analysis [21].…”
Section: Methodsmentioning
confidence: 99%
“…Currently several satellite-based sensors like AWiFS, LISS-III, MODIS, ETM + , SPOT, AATSR, AVHRR, and MODIS provide synergistic datasets that have potential in forest fire detection, inventory, mapping, and damage assessment [1]. Forest burnt areas have a typical spectral signature, especially if analysed by a multitemporal approach because of the different ground coverage between prefire (vegetation) and postfire (white ash, black ash, bare soil, and dead vegetation) conditions [14].…”
Section: Introductionmentioning
confidence: 99%
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“…However, large fires damage the forest in many ways because of increased intensity and frequency 12 . A recent study had reviewed the situation of forest fires in India 13 . Annually 6.34 Tg of CO 2 emissions have been estimated from forest biomass burning in India 14 .…”
mentioning
confidence: 99%