Recognizing vegetation chronosequence in Landsat imagery

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.

pdf

Section

Articles

Issue

Vol. 33 No. 3 (2012)

Published:
Jun 1, 2017

Keywords:

remote sensing data

GIS

forest regeneration dynamics map

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.

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.

How to Cite

Danilova, I., & Ryzhkova, V. (2017). Recognizing vegetation chronosequence in Landsat imagery. BOSQUE, 33(3), 359–362. Retrieved from https://www.revistabosque.org/index.php/bosque/article/view/652

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