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: | , , |
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| Lenguaje: | English |
| Publicado: |
Universidad Austral de Chile, Facultad de Ciencias Forestales
2012
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| Materias: | |
| Acceso en línea: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002012000300022 |
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| Sumario: | 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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