One of the most important criterion of forest fire occurrence probability is the ratio of coniferous vegetation area to total area of the forestry. The work develops method of automated analysis of dynamic of coniferous forest area on the basis of NDVI index received from the temporal ranges of Landsat images, as well as tests it on the example of a forestry in Baikal Region. Maps of summary results of carried out spatio-temporal analysis of the forestry area are shown. Developed method and algorithm of processing Landsat images allow assessing condition and dynamics of spatiotemporal changes in vegetation (forest) cover in the area of study.
Vegetation maps play a key role in an estimation of forest fire danger. To estimate forest fire danger, a vegetation type map of Gilbirinsky forestry situated in the Lake Baikal basin was created on basis of both the remote sensing data and field study. A Sentinel-2A satellite image was classified by the maximum likelihood method. Zones with different levels of forest fire danger have been identified: coniferous forests–extremely dangerous level, mixed forests – high level, and deciduous forests–moderate level of forest fire danger. Normalized Difference Water Index has been calculated and moisture content in vegetation has been evaluated.
Forest fires are a significant factor that affects the natural heritage of our planet – the lake Baikal basin. Moreover, often this impact is negative and causes damage to the forest areas of the region. The main condition for effective forest management and fire protection is the availability of reliable and comprehensive static and dynamic information on the state of the forest fund. The report provides a description of the methodology for preliminary analysis of the structure of the forest and assessing forest fire danger. LANDSAT images are used as primary information. One of the territories of the Baikal region is considered. LANDSAT images were used for 2015.
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