Recognizing vegetation chronosequence in Landsat imagery

Recognizing vegetation chronosequence in Landsat imagery

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...

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Autores principales: Danilova,Irina, Ryzhkova,Vera, Korets,Michael
Lenguaje:English
Publicado: Universidad Austral de Chile, Facultad de Ciencias Forestales 2012
Materias:
remote sensing data
GIS
forest regeneration dynamics map
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002012000300022
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spelling oai:scielo:S0717-920020120003000222014-11-05Recognizing vegetation chronosequence in Landsat imageryDanilova,IrinaRyzhkova,VeraKorets,Michael remote sensing data GIS forest regeneration dynamics map 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.info:eu-repo/semantics/openAccessUniversidad Austral de Chile, Facultad de Ciencias ForestalesBosque (Valdivia) v.33 n.3 20122012-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002012000300022en10.4067/S0717-92002012000300022
institution Scielo Chile
collection Scielo Chile
language English
topic remote sensing data
GIS
forest regeneration dynamics map
spellingShingle remote sensing data
GIS
forest regeneration dynamics map
Danilova,Irina
Ryzhkova,Vera
Korets,Michael
Recognizing vegetation chronosequence in Landsat imagery
description 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.
author Danilova,Irina
Ryzhkova,Vera
Korets,Michael
author_facet Danilova,Irina
Ryzhkova,Vera
Korets,Michael
author_sort Danilova,Irina
title Recognizing vegetation chronosequence in Landsat imagery
title_short Recognizing vegetation chronosequence in Landsat imagery
title_full Recognizing vegetation chronosequence in Landsat imagery
title_fullStr Recognizing vegetation chronosequence in Landsat imagery
title_full_unstemmed Recognizing vegetation chronosequence in Landsat imagery
title_sort recognizing vegetation chronosequence in landsat imagery
publisher Universidad Austral de Chile, Facultad de Ciencias Forestales
publishDate 2012
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002012000300022
work_keys_str_mv AT danilovairina recognizingvegetationchronosequenceinlandsatimagery
AT ryzhkovavera recognizingvegetationchronosequenceinlandsatimagery
AT koretsmichael recognizingvegetationchronosequenceinlandsatimagery
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