Mapping Age Stages of Forest Vegetation Based on an Analysis of Landsat Multiseasonal Satellite Images
- Autores: Danilova I.1, Korets M.1, Ryzhkova V.1
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Afiliações:
- Sukachev Institute of Forest, Siberian Branch, Russian Academy of Sciences
- Edição: Volume 54, Nº 9 (2018)
- Páginas: 997-1007
- Seção: Use of Space Information about the Earth
- URL: https://journals.rcsi.science/0001-4338/article/view/148629
- DOI: https://doi.org/10.1134/S0001433818090116
- ID: 148629
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Resumo
The possibility of increasing the efficiency of forest vegetation mapping is studied using Landsat multitemporal satellite images of medium spatial resolution. To simplify the process of supervised satellite-image classification, the method of automated generation of reference samples is applied based on forest inventory materials. Using the test forest areas of the southern part of Yenisei Siberia, it is demonstrated that native and secondary stands of different ages, from which regeneration series of dark coniferous and light coniferous forests are developed in different forest growing conditions, are mapped as a result of the classification of multiseasonal images with a sufficient level of significance (Kappa coefficient more than 0.7).
Sobre autores
I. Danilova
Sukachev Institute of Forest, Siberian Branch, Russian Academy of Sciences
Autor responsável pela correspondência
Email: tiv80@mail.ru
Rússia, Krasnoyarsk
M. Korets
Sukachev Institute of Forest, Siberian Branch, Russian Academy of Sciences
Email: tiv80@mail.ru
Rússia, Krasnoyarsk
V. Ryzhkova
Sukachev Institute of Forest, Siberian Branch, Russian Academy of Sciences
Email: tiv80@mail.ru
Rússia, Krasnoyarsk