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Мониторинг состояния растительного покрова зоны охвата мачты Zotto по данным дистанционного зондирования

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Vol. 16, No. 4, P. 814–818
VEGETATION MONITORING WITHIN THE ZOTTO TALL TOWER
COVERAGE AREA USING REMOTE SENSING DATA
O. A. Antamoshkina1, 2, M. A. Korets2
1
V. N. Sukachev Institute of Forest SB RAS
50/28, Akademgorodok, Krasnoyarsk, 660036, Russian Federation
2
Siberian Federal University
79, Svobodny Av., Krasnoyarsk, 660041, Russian Federation
¶-mail: sloa@mail.ru
The article discusses the methods of satellite image classification to determine general types of forest ecosystems, as
well as the long-term monitoring of ecosystems changes using satellite imagery of medium spatial resolution and the
daily data of space monitoring of active fires. The area of interest of this work is 100 km footprint of the Zotino Tall
Tower Observatory (ZOTTO), located near Zotino settlement, Krasnoyarsk region. The study area is located in the
middle taiga subzone of Western Siberia, and presented by the left and right banks of the Yenisei river.
814
B, #, For Landsat satellite imagery supervised classification by the maximum likelihood method was made using groundbased studies over the last fifteen years. The results are the identification of the 10 aggregated classes of land surface
and composition of the study area thematic map.
Operational satellite monitoring and analysis of spatial information about ecosystem in the 100-kilometer footprint
of the ZOTTO tall tower allows to monitor the dynamics of forest disturbance by fire and logging over a long time period and to estimate changes in forest ecosystems of the study area. Data on the number and area of fires detected in
the study region for the 2000–2014 have been received in the work. Calculations show that active fires have burned
more than a quarter of the footprint area over the study period. Fires have a significant impact on the redistribution of
classes of land surface. The area of all types of plant ecosystems declined dramatically under the influence of fires,
whereas industrial logging does not have a serious impact on it.
The results obtained in our work indicate the highest occurrence of fires for lichen forest types within study region,
probably due to their high natural fire danger, which is consistent with other studies. The least damage the fire caused
to the wetland ecosystem due to high content of moisture and the presence of a large number of fire breaks in the form
of open water.
Keywords: satellite images, supervised classification, forest fires, monitoring of forest ecosystems.
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