Оценка сезонных изменений лесов с использованием сегментации и кластерного анализа космических снимков landsat = An assessment of seasonal changes in forests using the segmentation and cluster analysis of landsat space images
Статья в журнале
Русский
57.036:504.064(571.56-37)
10.25587/2587-8751-2023-4-79-98
дешифрирование временной серии космических снимков; классификация Isodata; индекс лесистости; дисперсия; F-тест; скейлинг мультифрактальных структур; decoding time series of satellite images; Isodata classification; forest cover index; dispersion; F-test; scaling of multifractal structures
География
For the purposes of monitoring the state of forest ecosystems, it is most e ective to use the capabilities of remote methods. On multispectral Landsat satellite images (a time series of summer and autumn images for 2000, 2001, 2013, 2014) of the territory of the Olekminsky State Nature Reserve, fragments of forests 2 dominated by Gmelin larch (Larix gmelinii Rupr.) with an area of 250 km (scale 1:5000). Then the polygons were saved at three levels of segmentation (scaling) - 4, 16, 64 with scales of 1:2500, 1:1250, 1:625. During decryption, uncontrolled classi cation of polygons using the ISODATA (Iterative Self-Organizing Data Analysis Technigue) method into 2,4,10 classes was carried out. Classi cation into two classes was used to calculate the forest cover index. Seasonal changes were determined by the di erence in the forest cover index values of the polygons in summer and autumn. It has been shown that the greater the di erence, the greater the proportion of larch in mixed forest stands. Distribution curves of forest cover index values were constructed for polygons of the 3rd scaling level. Based on the results of classi cation into 4, 10 classes, statistical processing was carried out with the calculation of indicators of di erence and similarity of polygons - dispersion of the general population and Fisher’s test (F-test). The results of changes in population dispersion and F-test at di erent levels of segmentation and in di erent years are considered.
Рожков, Ю. Ф. Оценка сезонных изменений лесов с использованием сегментации и кластерного анализа космических снимков landsat / Ю. Ф. Рожков, М. Ю. Кондакова ; Государственный заповедник "Олекминский", Гидрохимический институт г. Ростов-на-Дону // Вестник Северо-Восточного федерального университета им. М. К. Аммосова. Серия: Науки о земле. - 2023. - N 4 (32). - C. 79-98. - DOI: 10.25587/2587-8751-2023-4-79-98
DOI: 10.25587/2587-8751-2023-4-79-98
- Математика. Естественные науки > Общая биология. Антропология. Вирусология. Микробиология,
- Математика. Естественные науки > Природа. Охрана окружающей среды,
- НАУКА ЯКУТИИ > МАТЕМАТИКА. ЕСТЕСТВЕННЫЕ НАУКИ > Природа. Охрана окружающей среды,
- НАУКА ЯКУТИИ > МАТЕМАТИКА. ЕСТЕСТВЕННЫЕ НАУКИ > Общая биология. Антропология. Вирусология. Микробиология.
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