OBJECT BASED THERMOKARST LAKE CHANGE MAPPING AS PART OF THE ESA DATA USER ELEMENT (DUE) PERMAFROST

This study presents an approach to quantify thermokarst lake change and lake object structure change in spatial very high resolution remote sensing data as part of ESAs "Data User Element Permafrost". Lake Center points are used and multi temporal data is radiometrically normalized using a...

Full description

Bibliographic Details
Main Authors: S. Hese A, G. Grosse B, S. Pöcking A
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.409.5475
http://www.isprs.org/proceedings/XXXVIII/4-C7/pdf/Hese.pdf
id ftciteseerx:oai:CiteSeerX.psu:10.1.1.409.5475
record_format openpolar
spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.409.5475 2023-05-15T14:57:18+02:00 OBJECT BASED THERMOKARST LAKE CHANGE MAPPING AS PART OF THE ESA DATA USER ELEMENT (DUE) PERMAFROST S. Hese A G. Grosse B S. Pöcking A The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.409.5475 http://www.isprs.org/proceedings/XXXVIII/4-C7/pdf/Hese.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.409.5475 http://www.isprs.org/proceedings/XXXVIII/4-C7/pdf/Hese.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.isprs.org/proceedings/XXXVIII/4-C7/pdf/Hese.pdf KEY WORDS lake change Hexagon Rapideye thermokarst arctic relational features ABSTRACT text ftciteseerx 2016-01-08T03:13:14Z This study presents an approach to quantify thermokarst lake change and lake object structure change in spatial very high resolution remote sensing data as part of ESAs "Data User Element Permafrost". Lake Center points are used and multi temporal data is radiometrically normalized using a water mean rationing. A set of specific lake object characteristics (object shape, direction, lake object neighborhood structure and lake density) are parameterized in high resolution Rapideye data and in scanned pan-chromatic films from 1975 (Hexagon). Emphasis is on mapping of structural changes of thermokarst thaw lakes and changes of adjacent lake object properties. For this purpose specific relational neighborhood metrics are developed that quantify structural properties of the thermokarst lake areas and attributed changes. The classification is performed pan arctic on multiple test sites in Siberia, Alaska and Canada. The presented methodological approach provides a robust and transferrable concept for large scale change mapping and is important to quantify changes under potential permafrost degradation conditions. This work is part of the "Data User Element Permafrost " and is a contribution to an observation strategy for permafrost degradation. 1. Text Arctic permafrost Thermokarst Alaska Siberia Unknown Arctic Canada
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
topic KEY WORDS
lake change
Hexagon
Rapideye
thermokarst
arctic
relational features ABSTRACT
spellingShingle KEY WORDS
lake change
Hexagon
Rapideye
thermokarst
arctic
relational features ABSTRACT
S. Hese A
G. Grosse B
S. Pöcking A
OBJECT BASED THERMOKARST LAKE CHANGE MAPPING AS PART OF THE ESA DATA USER ELEMENT (DUE) PERMAFROST
topic_facet KEY WORDS
lake change
Hexagon
Rapideye
thermokarst
arctic
relational features ABSTRACT
description This study presents an approach to quantify thermokarst lake change and lake object structure change in spatial very high resolution remote sensing data as part of ESAs "Data User Element Permafrost". Lake Center points are used and multi temporal data is radiometrically normalized using a water mean rationing. A set of specific lake object characteristics (object shape, direction, lake object neighborhood structure and lake density) are parameterized in high resolution Rapideye data and in scanned pan-chromatic films from 1975 (Hexagon). Emphasis is on mapping of structural changes of thermokarst thaw lakes and changes of adjacent lake object properties. For this purpose specific relational neighborhood metrics are developed that quantify structural properties of the thermokarst lake areas and attributed changes. The classification is performed pan arctic on multiple test sites in Siberia, Alaska and Canada. The presented methodological approach provides a robust and transferrable concept for large scale change mapping and is important to quantify changes under potential permafrost degradation conditions. This work is part of the "Data User Element Permafrost " and is a contribution to an observation strategy for permafrost degradation. 1.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author S. Hese A
G. Grosse B
S. Pöcking A
author_facet S. Hese A
G. Grosse B
S. Pöcking A
author_sort S. Hese A
title OBJECT BASED THERMOKARST LAKE CHANGE MAPPING AS PART OF THE ESA DATA USER ELEMENT (DUE) PERMAFROST
title_short OBJECT BASED THERMOKARST LAKE CHANGE MAPPING AS PART OF THE ESA DATA USER ELEMENT (DUE) PERMAFROST
title_full OBJECT BASED THERMOKARST LAKE CHANGE MAPPING AS PART OF THE ESA DATA USER ELEMENT (DUE) PERMAFROST
title_fullStr OBJECT BASED THERMOKARST LAKE CHANGE MAPPING AS PART OF THE ESA DATA USER ELEMENT (DUE) PERMAFROST
title_full_unstemmed OBJECT BASED THERMOKARST LAKE CHANGE MAPPING AS PART OF THE ESA DATA USER ELEMENT (DUE) PERMAFROST
title_sort object based thermokarst lake change mapping as part of the esa data user element (due) permafrost
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.409.5475
http://www.isprs.org/proceedings/XXXVIII/4-C7/pdf/Hese.pdf
geographic Arctic
Canada
geographic_facet Arctic
Canada
genre Arctic
permafrost
Thermokarst
Alaska
Siberia
genre_facet Arctic
permafrost
Thermokarst
Alaska
Siberia
op_source http://www.isprs.org/proceedings/XXXVIII/4-C7/pdf/Hese.pdf
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.409.5475
http://www.isprs.org/proceedings/XXXVIII/4-C7/pdf/Hese.pdf
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
_version_ 1766329386531815424