Land-cover mapping using multitemporal, dual-frequency polarimetric SAR data

Henning Skriver; Jesper Schou; Wolfgang Dierking

doi:10.1109/IGARSS.2000.860509

Land-cover mapping using multitemporal, dual-frequency polarimetric SAR data

Henning Skriver, Jesper Schou, Wolfgang Dierking

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Abstract

The Danish Center for Remote Sensing (DCRS) is, in collaboration with the Danish mapping agency, conducting a study on topographic mapping using SAR data, and land cover mapping results are presented. The Danish EMISAR system (an L- and C-band, fully polarimetric, airborne SAR) have in 1994 to 1999 during the growing season acquired a lot of data over a Danish agricultural site. The data acquisitions were co-ordinated with ground surveys to obtain a detailed land cover map. The test area contains a large number of different land cover classes, such as more than 10 different crop types, deciduous and coniferous forest types, wetlands, lakes, and urban areas. The data are used to study the classification potential of polarimetric SAR data using the Wishart distributed covariance matrix.

Original language	English
Title of host publication	Proceedings of Geoscience and Remote Sensing Symposium
Volume	1
Place of Publication	Honolulu, Hawaii
Publisher	IEEE
Publication date	2000
Pages	331-333
ISBN (Print)	0-7803-6359-0
DOIs	https://doi.org/10.1109/IGARSS.2000.860509
Publication status	Published - 2000
Event	IEEE 2000 International Geoscience and Remote Sensing Symposium - Honolulu, United States Duration: 24 Jul 2000 → 28 Jul 2000 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6913

Conference

Conference	IEEE 2000 International Geoscience and Remote Sensing Symposium
Country/Territory	United States
City	Honolulu
Period	24/07/2000 → 28/07/2000
Internet address	http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6913

Bibliographical note

Copyright: 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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title = "Land-cover mapping using multitemporal, dual-frequency polarimetric SAR data",

abstract = "The Danish Center for Remote Sensing (DCRS) is, in collaboration with the Danish mapping agency, conducting a study on topographic mapping using SAR data, and land cover mapping results are presented. The Danish EMISAR system (an L- and C-band, fully polarimetric, airborne SAR) have in 1994 to 1999 during the growing season acquired a lot of data over a Danish agricultural site. The data acquisitions were co-ordinated with ground surveys to obtain a detailed land cover map. The test area contains a large number of different land cover classes, such as more than 10 different crop types, deciduous and coniferous forest types, wetlands, lakes, and urban areas. The data are used to study the classification potential of polarimetric SAR data using the Wishart distributed covariance matrix.",

author = "Henning Skriver and Jesper Schou and Wolfgang Dierking",

note = "Copyright: 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE; IEEE 2000 International Geoscience and Remote Sensing Symposium, IGARSS 2000 ; Conference date: 24-07-2000 Through 28-07-2000",

year = "2000",

doi = "10.1109/IGARSS.2000.860509",

language = "English",

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booktitle = "Proceedings of Geoscience and Remote Sensing Symposium",

publisher = "IEEE",

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url = "http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6913",

}

Skriver, H, Schou, J & Dierking, W 2000, Land-cover mapping using multitemporal, dual-frequency polarimetric SAR data. in Proceedings of Geoscience and Remote Sensing Symposium. vol. 1, IEEE, Honolulu, Hawaii, pp. 331-333, IEEE 2000 International Geoscience and Remote Sensing Symposium, Honolulu, Hawaii, United States, 24/07/2000. https://doi.org/10.1109/IGARSS.2000.860509

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AU - Skriver, Henning

AU - Schou, Jesper

AU - Dierking, Wolfgang

N1 - Copyright: 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

PY - 2000

Y1 - 2000

N2 - The Danish Center for Remote Sensing (DCRS) is, in collaboration with the Danish mapping agency, conducting a study on topographic mapping using SAR data, and land cover mapping results are presented. The Danish EMISAR system (an L- and C-band, fully polarimetric, airborne SAR) have in 1994 to 1999 during the growing season acquired a lot of data over a Danish agricultural site. The data acquisitions were co-ordinated with ground surveys to obtain a detailed land cover map. The test area contains a large number of different land cover classes, such as more than 10 different crop types, deciduous and coniferous forest types, wetlands, lakes, and urban areas. The data are used to study the classification potential of polarimetric SAR data using the Wishart distributed covariance matrix.

AB - The Danish Center for Remote Sensing (DCRS) is, in collaboration with the Danish mapping agency, conducting a study on topographic mapping using SAR data, and land cover mapping results are presented. The Danish EMISAR system (an L- and C-band, fully polarimetric, airborne SAR) have in 1994 to 1999 during the growing season acquired a lot of data over a Danish agricultural site. The data acquisitions were co-ordinated with ground surveys to obtain a detailed land cover map. The test area contains a large number of different land cover classes, such as more than 10 different crop types, deciduous and coniferous forest types, wetlands, lakes, and urban areas. The data are used to study the classification potential of polarimetric SAR data using the Wishart distributed covariance matrix.

U2 - 10.1109/IGARSS.2000.860509

DO - 10.1109/IGARSS.2000.860509

M3 - Article in proceedings

SN - 0-7803-6359-0

VL - 1

SP - 331

EP - 333

BT - Proceedings of Geoscience and Remote Sensing Symposium

PB - IEEE

CY - Honolulu, Hawaii

T2 - IEEE 2000 International Geoscience and Remote Sensing Symposium

Y2 - 24 July 2000 through 28 July 2000

ER -

Land-cover mapping using multitemporal, dual-frequency polarimetric SAR data

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