Assessing forest fire severity using remote sensing: A case study in western Rajaji National park, Uttarakhand, India
By: Deve, S. Negi, V.S. Pandey, B.W. Singh, Chatter and Kesharwani, R
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BookPublisher: Disaster & Development: NIDM Description: 13(2), Jul-Dec, 2024: p.55-68.Subject(s): Remote sensing, Forest fires, Normalized burn ratio (NBR), Severity and delta normalized burn ratio (NBR)| Item type | Current location | Call number | Vol info | Status | Date due | Barcode |
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Articles
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Indian Institute of Public Administration | 13(2), Jul-Dec, 2024: p.55-68 | Available | AR137195 |
Forest fires produces notable global threat and it can damage various ecosystems, human lives and infrastructure. This article take a look at the uses of remote sensing satellite data and techniques. In this paper the Normalized Burn Ratio (NBR) and Differenced Normalized Burn Ratio (DNBR) indices is used to estimate and visualise the burn intensity of forest fires. The Western Rajaji National Park (RNP) in Uttarakhand, India is selected as study area for this paper. Landsat satellie imagery and SNPP-VIIRS data used in this method to calculate NBR and dNBR. The research highlights the significance of appropriate satellite imagery collection and precisely prepare pre-and post-fire images. The obtained pre- and post-fire are used to create burn severity (intensity) images, produce significant observations into the impact of the forest fire ecosystems. The findings shows the efficiency of NBR and dNBR in mapping and visualizing the severity of the fire incident, helping in forest fire prevention, monitoring and evaluation. The paper contributes to the comprehensive understanding of geospatial applications for assessing various impacts and aiding decision-making actions for controlling and reduce the effects of forest fires.- Reproduced
https://nidm.gov.in/journal/PDF/Journal/NIDMJOURNAL_JulDec2024/NIDMJOURNAL_JulDec20243.pdf


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