Landsat-aided forest site type mapping

Research output: Contribution to journalArticleScientificpeer-review

14 Citations (Scopus)

Abstract

Forest site types were interpreted with a maximum likelihood classification of Landsat imagery. On the basis of such interpretation, an operational system for site type classification was developed. A spectral site type model was also created. The study area was situated in northern Finland near the Arctic Circle. The numerical interpretation was tested by random sampling. Some classes were accurate enough for an operational system withoutfield checking. About two- thirds of the area needed more information. The new forest site type classification method, entitled KAUKO, is a multi-phase system. The first phase is the interpretation of Landsat MSS imagery, followed by utilization of base map data, uisual interpretation of color infrared photographs, and field checking. With KAUKO it was possible to make the forest site type classification three times as fast as with the traditional method. More than one quarter of the expenses of this classification were saved by using the KAUKO method in test classification.
Original languageEnglish
Pages (from-to)1175 - 1183
Number of pages9
JournalPhotogrammetric Engineering and Remote Sensing
Volume50
Issue number8
Publication statusPublished - 1984
MoE publication typeNot Eligible

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Landsat
imagery
Landsat multispectral scanner
data interpretation
Maximum likelihood
photograph
Sampling
Color
Infrared radiation
sampling
method

Cite this

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title = "Landsat-aided forest site type mapping",
abstract = "Forest site types were interpreted with a maximum likelihood classification of Landsat imagery. On the basis of such interpretation, an operational system for site type classification was developed. A spectral site type model was also created. The study area was situated in northern Finland near the Arctic Circle. The numerical interpretation was tested by random sampling. Some classes were accurate enough for an operational system withoutfield checking. About two- thirds of the area needed more information. The new forest site type classification method, entitled KAUKO, is a multi-phase system. The first phase is the interpretation of Landsat MSS imagery, followed by utilization of base map data, uisual interpretation of color infrared photographs, and field checking. With KAUKO it was possible to make the forest site type classification three times as fast as with the traditional method. More than one quarter of the expenses of this classification were saved by using the KAUKO method in test classification.",
author = "Tuomas H{\"a}me",
year = "1984",
language = "English",
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journal = "Photogrammetric Engineering and Remote Sensing",
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publisher = "American Society for Photogrammetry and Remote Sensing",
number = "8",

}

Landsat-aided forest site type mapping. / Häme, Tuomas.

In: Photogrammetric Engineering and Remote Sensing, Vol. 50, No. 8, 1984, p. 1175 - 1183.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Landsat-aided forest site type mapping

AU - Häme, Tuomas

PY - 1984

Y1 - 1984

N2 - Forest site types were interpreted with a maximum likelihood classification of Landsat imagery. On the basis of such interpretation, an operational system for site type classification was developed. A spectral site type model was also created. The study area was situated in northern Finland near the Arctic Circle. The numerical interpretation was tested by random sampling. Some classes were accurate enough for an operational system withoutfield checking. About two- thirds of the area needed more information. The new forest site type classification method, entitled KAUKO, is a multi-phase system. The first phase is the interpretation of Landsat MSS imagery, followed by utilization of base map data, uisual interpretation of color infrared photographs, and field checking. With KAUKO it was possible to make the forest site type classification three times as fast as with the traditional method. More than one quarter of the expenses of this classification were saved by using the KAUKO method in test classification.

AB - Forest site types were interpreted with a maximum likelihood classification of Landsat imagery. On the basis of such interpretation, an operational system for site type classification was developed. A spectral site type model was also created. The study area was situated in northern Finland near the Arctic Circle. The numerical interpretation was tested by random sampling. Some classes were accurate enough for an operational system withoutfield checking. About two- thirds of the area needed more information. The new forest site type classification method, entitled KAUKO, is a multi-phase system. The first phase is the interpretation of Landsat MSS imagery, followed by utilization of base map data, uisual interpretation of color infrared photographs, and field checking. With KAUKO it was possible to make the forest site type classification three times as fast as with the traditional method. More than one quarter of the expenses of this classification were saved by using the KAUKO method in test classification.

M3 - Article

VL - 50

SP - 1175

EP - 1183

JO - Photogrammetric Engineering and Remote Sensing

JF - Photogrammetric Engineering and Remote Sensing

SN - 0099-1112

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ER -