Preliminary estimation of forest fire danger using LANDSAT images over Baikal Lake basin forests

Baranovskiy, Nikolay V.; Yankovich, Ksenia S.; Yankovich, Elena P.

doi:10.1117/12.2504932

Cited by 2 publications

(1 citation statement)

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“…In the unguarded territories of the northern regions of Siberia and the Far East, forest fires are practically not registered and are not extinguished. The development of operational methods for predicting and assessing wildfires is one of their main problems in the complex of ensuring fire and environmental safety of the territory (Baranovskiy & Yankovich, 2018;Makarov & Malykh, 2019). According to literary sources in the Amur region, the first anthropogenic fires began to occur about 400-600 thousand years ago.…”

Section: Introductionmentioning

confidence: 99%

Analysis Of The Burnability Of The Territory Of The Jewish Autonomous Region

Krokhaleva¹

2022

The European Proceedings of Social and Behavioural Sciences

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The article considers the pyrological situation on the territory of the Jewish Autonomous Region located in the Russian Far East. The author presented the statistics of forest fires by year, the principal forest fires causes, and the forest fund of the Jewish Autonomous Region according to the degree of natural fire danger, taking into account the pyrological features of the forests in the region, forest types and land categories. The paper covers the fires statistics of the forest fund territory. Statistics data collected during a long time (from 2005 to 2019) is presented. The author identified periods of increased fire danger and the main factors of forest fires. As a result of the work carried out, the months with the highest pyrologic load were specified (March -November). The hugest number of fires occurs in April, May, July, October, and November. The analysis showed that forest fires reach their maximum peaks in May and October. The paper highlights the principal causes of forest fires (the presence of sources of ignition and burning (dry grass, leaves) in forests, high temperatures, and low rainfall, as well as the hugest influx of people into the woods during this period, for the collection of wild plants.

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Section: Introductionmentioning

confidence: 99%

Analysis Of The Burnability Of The Territory Of The Jewish Autonomous Region

Krokhaleva¹

2022

The European Proceedings of Social and Behavioural Sciences

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Dynamics of Forest Vegetation in an Urban Agglomeration Based on Landsat Remote Sensing Data for the Period 1990–2022: A Case Study

Yankovich

Yankovich²,

Baranovskiy

2023

Remote Sensing

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In recent years, the vegetation cover in urban agglomerations has been changing very rapidly due to technogenic influence. Satellite images play a huge role in studying the dynamics of forest vegetation. Special programs are used to process satellite images. The purpose of the study is to analyze forest vegetation within the territory of the Tomsk agglomeration based on Landsat remote sensing data for the period from 1990 to 2022. The novelty of the study is explained by the development of a unique program code for the analysis of Landsat satellite data on the previously unexplored territory of the Tomsk agglomeration with the prospect of moving to the scale of the entire state in the future. In this study, the authors present an algorithm implemented in Python to quantify the change in the area of vegetation in an urban agglomeration using Landsat multispectral data. The tool allows you to read space images, calculate spectral indices (NDVI, UI, NDWI), and perform statistical processing of interpretation results. The created tool was applied to study the dynamics of vegetation within the Tomsk urban agglomeration during the period 1990–2022. Key findings and conclusions: (1) The non-forest areas increased from 1990 to 1999 and from 2013 to 2022. It is very likely that this is due to the deterioration of the standard of living in the country during these periods. The first time interval corresponds to the post-Soviet period and the devastation in the economy in the 1990s. The second period corresponds to the implementation and strengthening of sanctions pressure on the Russian Federation. (2) The area of territories inhabited by people has been steadily falling since 1990. This is due to the destruction of collective agriculture in the Russian Federation and the outflow of the population from the surrounding rural settlements to Tomsk and Seversk.

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Preliminary estimation of forest fire danger using LANDSAT images over Baikal Lake basin forests

Cited by 2 publications

References 4 publications

Analysis Of The Burnability Of The Territory Of The Jewish Autonomous Region

Analysis Of The Burnability Of The Territory Of The Jewish Autonomous Region

Dynamics of Forest Vegetation in an Urban Agglomeration Based on Landsat Remote Sensing Data for the Period 1990–2022: A Case Study

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