Publications

Azimuddin, S; Dwivedi, RS (2025). Spatiotemporal Behavior of Active Forest Fires Using Time-Series MODIS C6 Data. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 91(2).

Abstract
Forestfires have a profound influence on the economy, ecology, and environment. Realizing the potential of remote sensing in forest fire management, a study was taken up to investigate the spatiotemporal behavior of active forest fires in a mountainous terrain of Uttarakhand State, north India, using 15 years'time-series historical MODIS (C6) active fire point products. Results indicate an overall fire incidence detection accuracy of 62.3% with a KHAT value of 0.59. Moreover, a regular trend in intra-annual behavior in fire incidences with peaks during the hot and dry period of the year was observed and a large year-to-year variability in fire regimes with no significant trends over time could be noticed. The approach and results are discussed in detail along with the future perspective.

DOI:
10.14358/PERS.24-00035R2

ISSN:
2374-8079