Comparative characterization of forests using the interpretation of ultra-high resolution images
https://doi.org/10.31242/2618-9712-2020-25-2-10
Abstract
For the purpose of monitoring the state of forest ecosystems, it is most effective to use the capabilities of remote sensing methods. Fragments of 0.819 km2 (scale 1: 3200) with the dominance of Scots pine (Pinus sylvestris L.) and Gmelin larch (Larix gmelinii Rupr.) were identified on DigitalGlobe multispectral satellite images of the territory of the Olekminsky State Nature Reserve. Then, the polygons were saved at four levels of detail – 4.16.64.256 with scales of 1: 1600.1: 800, 1: 400, 1: 200. When decoding, an uncontrolled classification of the fragment and polygons was carried out using the ISODATA (Iterative Self-Organizing Data Analysis Technigue) method for 2,4,10 classes. According to the results of classification into 2 classes, the relationship between the forest cover index and the number of trees marked on the landfills is shown. The distribution curves for forest cover index values were constructed for polygons at level 4 of detail. The nature of the curves is close to the normal distribution. According to the classification results for grades 4 and 10, statistical processing was carried out with the calculation of the indicators of the difference and similarity of the polygons – the dispersion of the general aggregate and the Fisher test (F-test). The most similar pairs of polygons at different levels of detail are highlighted. The results of changes in the dispersion and the F-test at different levels of detail are considered.
About the Authors
Yu. F. Rozhkov
State Nature Reserve «Olekminsky»
Russian Federation
Russian Federation
ROZHKOV Yuri Filippovich, candidate of chemical sciences, deputy director for scientific research
678100, Olekminsk, 6 Filatov str.
M. Yu. Kondakova
Hydrochemical Institute
Russian Federation
Russian Federation
KONDAKOVA Maria Yuryevna, candidate of biological sciences, senior researcher
344090, Rostov-on-Don, 1983 Stachki Ave.
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Review
For citations:
Rozhkov Yu.F., Kondakova M.Yu. Comparative characterization of forests using the interpretation of ultra-high resolution images. Arctic and Subarctic Natural Resources. 2020;25(2):125-136. (In Russ.) https://doi.org/10.31242/2618-9712-2020-25-2-10
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