Recognizing vegetation chronosequence in Landsat imagery

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Published: Jun 1, 2017
DOI: https://doi.org/10.4067/S0717-92002012000300022
Keywords:
- remote sensing data
- GIS
- forest regeneration dynamics map

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Irina Danilova
Siberian Br., Russian Academy of Sciences, V.N. Sukachev Institute of Forest, GIS Laboratory, 660036 Krasnoyarsk, Russia.
Vera Ryzhkova
Siberian Br., Russian Academy of Sciences, V.N. Sukachev Institute of Forest, GIS Laboratory, 660036 Krasnoyarsk, Russia.

Abstract

This paper presents a description of an algorithm of automated identification of forest regeneration stages using a spatial analysis of Landsat-5 TM imagery and field data. Based on this algorithm, several raster maps were built to show the vegetation regeneration stages in a range of habitat types found in southern Yenisey Siberia.

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How to Cite
Danilova, I., & Ryzhkova, V. (2017). Recognizing vegetation chronosequence in Landsat imagery. Bosque, 33(3), 359–362. https://doi.org/10.4067/S0717-92002012000300022
Issue
Vol. 33 No. 3 (2012)
Section
Articles

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