Comparison of ERS SAR and Landsat TM forest classification

Terhikki Manninen; Tuomas Häme; Anssi Lohi

Comparison of ERS SAR and Landsat TM forest classification

Terhikki Manninen, Tuomas Häme, Anssi Lohi

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

The seasonal variation of intensities in SAR images is typically higher on agricultural fields than in forests. Therefore multitemporal use of SAR data enables the distinction of fields and forests [1, 2]. Single SAR images are not as easy to use for forest mapping, although at certain times of the season the intensities of the fields and forests are clearly different. Due to the speckle direct classification is usually not succesful. Moreover, the modest resolution of ERS SAR makes reliable forest detection even more difficult [2]. Recently a method for distinguishing boreal forests and open land areas using single ERS images has been developed [3]. For boreal forests an unsupervised classification method utilizing Landsat TM data has been used in several contexts lately [4, 5]. The method is based on clusters labeled using their reflectance values. The ERS SAR single image forest/nonforest classification results are compared in this paper with the Landsat TM classification results in two test sites in Southern Finland.

Original language	English
Title of host publication	Second International Workshop on Retrieval of Bio- & Geo-physical Parameters from SAR Data for Land Applications
Place of Publication	The Netherlands
Publisher	European Space Agency (ESA)
Pages	347-354
Volume	SP-441
ISBN (Print)	92-9092-764-X
Publication status	Published - 1998
MoE publication type	Not Eligible
Event	2nd ESA International Workshop on Retrieval of Bio- and Geo-physical Parameters from SAR Data for Land Applications - Noordwijk, Netherlands Duration: 21 Oct 1998 → 23 Oct 1998 Conference number: 2

Conference

Conference	2nd ESA International Workshop on Retrieval of Bio- and Geo-physical Parameters from SAR Data for Land Applications
Country/Territory	Netherlands
City	Noordwijk
Period	21/10/98 → 23/10/98

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https://earth.esa.int/documents/10174/1598482/GEN62.pdf

Cite this

@inproceedings{4138f9b0236a4e729f13286fb8ba4279,

title = "Comparison of ERS SAR and Landsat TM forest classification",

abstract = "The seasonal variation of intensities in SAR images is typically higher on agricultural fields than in forests. Therefore multitemporal use of SAR data enables the distinction of fields and forests [1, 2]. Single SAR images are not as easy to use for forest mapping, although at certain times of the season the intensities of the fields and forests are clearly different. Due to the speckle direct classification is usually not succesful. Moreover, the modest resolution of ERS SAR makes reliable forest detection even more difficult [2]. Recently a method for distinguishing boreal forests and open land areas using single ERS images has been developed [3]. For boreal forests an unsupervised classification method utilizing Landsat TM data has been used in several contexts lately [4, 5]. The method is based on clusters labeled using their reflectance values. The ERS SAR single image forest/nonforest classification results are compared in this paper with the Landsat TM classification results in two test sites in Southern Finland.",

author = "Terhikki Manninen and Tuomas H{\"a}me and Anssi Lohi",

year = "1998",

language = "English",

isbn = "92-9092-764-X",

volume = "SP-441",

pages = "347--354",

booktitle = "Second International Workshop on Retrieval of Bio- & Geo-physical Parameters from SAR Data for Land Applications",

publisher = "European Space Agency (ESA)",

address = "France",

note = "2nd ESA International Workshop on Retrieval of Bio- and Geo-physical Parameters from SAR Data for Land Applications ; Conference date: 21-10-1998 Through 23-10-1998",

}

Manninen, T, Häme, T & Lohi, A 1998, Comparison of ERS SAR and Landsat TM forest classification. in Second International Workshop on Retrieval of Bio- & Geo-physical Parameters from SAR Data for Land Applications. vol. SP-441, European Space Agency (ESA), The Netherlands, pp. 347-354, 2nd ESA International Workshop on Retrieval of Bio- and Geo-physical Parameters from SAR Data for Land Applications, Noordwijk, Netherlands, 21/10/98. <https://earth.esa.int/documents/10174/1598482/GEN62.pdf>

Comparison of ERS SAR and Landsat TM forest classification. / Manninen, Terhikki; Häme, Tuomas; Lohi, Anssi.
Second International Workshop on Retrieval of Bio- & Geo-physical Parameters from SAR Data for Land Applications. Vol. SP-441 The Netherlands: European Space Agency (ESA), 1998. p. 347-354.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Comparison of ERS SAR and Landsat TM forest classification

AU - Manninen, Terhikki

AU - Häme, Tuomas

AU - Lohi, Anssi

N1 - Conference code: 2

PY - 1998

Y1 - 1998

N2 - The seasonal variation of intensities in SAR images is typically higher on agricultural fields than in forests. Therefore multitemporal use of SAR data enables the distinction of fields and forests [1, 2]. Single SAR images are not as easy to use for forest mapping, although at certain times of the season the intensities of the fields and forests are clearly different. Due to the speckle direct classification is usually not succesful. Moreover, the modest resolution of ERS SAR makes reliable forest detection even more difficult [2]. Recently a method for distinguishing boreal forests and open land areas using single ERS images has been developed [3]. For boreal forests an unsupervised classification method utilizing Landsat TM data has been used in several contexts lately [4, 5]. The method is based on clusters labeled using their reflectance values. The ERS SAR single image forest/nonforest classification results are compared in this paper with the Landsat TM classification results in two test sites in Southern Finland.

AB - The seasonal variation of intensities in SAR images is typically higher on agricultural fields than in forests. Therefore multitemporal use of SAR data enables the distinction of fields and forests [1, 2]. Single SAR images are not as easy to use for forest mapping, although at certain times of the season the intensities of the fields and forests are clearly different. Due to the speckle direct classification is usually not succesful. Moreover, the modest resolution of ERS SAR makes reliable forest detection even more difficult [2]. Recently a method for distinguishing boreal forests and open land areas using single ERS images has been developed [3]. For boreal forests an unsupervised classification method utilizing Landsat TM data has been used in several contexts lately [4, 5]. The method is based on clusters labeled using their reflectance values. The ERS SAR single image forest/nonforest classification results are compared in this paper with the Landsat TM classification results in two test sites in Southern Finland.

M3 - Conference article in proceedings

SN - 92-9092-764-X

VL - SP-441

SP - 347

EP - 354

BT - Second International Workshop on Retrieval of Bio- & Geo-physical Parameters from SAR Data for Land Applications

PB - European Space Agency (ESA)

CY - The Netherlands

T2 - 2nd ESA International Workshop on Retrieval of Bio- and Geo-physical Parameters from SAR Data for Land Applications

Y2 - 21 October 1998 through 23 October 1998

ER -

Comparison of ERS SAR and Landsat TM forest classification

Abstract

Conference

UN SDGs

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