High-Resolution Spatio-Temporal Estimation of Net Ecosystem Exchange in Ice-Wedge Polygon Tundra Using In Situ Sensors and Remote Sensing Data
Land-atmosphere carbon exchange is known to be extremely heterogeneous in arctic ice-wedge polygonal tundra regions. In this study, a Kalman filter-based method was developed to estimate the spatio-temporal dynamics of daytime average net ecosystem exchange (NEEday) at 0.5-m resolution over a 550 m...
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2021
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ftcdlib:oai:escholarship.org:ark:/13030/qt3jz0q8wn 2024-01-07T09:41:46+01:00 High-Resolution Spatio-Temporal Estimation of Net Ecosystem Exchange in Ice-Wedge Polygon Tundra Using In Situ Sensors and Remote Sensing Data Wainwright, Haruko M Oktem, Rusen Dafflon, Baptiste Dengel, Sigrid Curtis, John B Torn, Margaret S Cherry, Jessica Hubbard, Susan S 722 2021-01-01 application/pdf https://escholarship.org/uc/item/3jz0q8wn unknown eScholarship, University of California qt3jz0q8wn https://escholarship.org/uc/item/3jz0q8wn public Land, vol 10, iss 7 Built Environment and Design Environmental Management Environmental Sciences Architecture Urban and Regional Planning net ecosystem exchange ice-wedge polygons Kalman filter tram system normalized difference vegetation index greenness index Environmental Science and Management article 2021 ftcdlib 2023-12-11T19:07:54Z Land-atmosphere carbon exchange is known to be extremely heterogeneous in arctic ice-wedge polygonal tundra regions. In this study, a Kalman filter-based method was developed to estimate the spatio-temporal dynamics of daytime average net ecosystem exchange (NEEday) at 0.5-m resolution over a 550 m by 700 m study site. We integrated multi-scale, multi-type datasets, including normalized difference vegetation indices (NDVIs) obtained from a novel automated mobile sensor system (or tram system) and a greenness index map obtained from airborne imagery. We took advantage of the significant correlations between NDVI and NEEday identified based on flux chamber measurements. The weighted average of the estimated NEEday within the flux-tower footprint agreed with the flux tower data in term of its seasonal dynamics. We then evaluated the spatial variability of the growing season average NEEday, as a function of polygon geomorphic classes; i.e., the combination of polygon types—which are known to present different degradation stages associated with permafrost thaw—and microtopographic features (i.e., troughs, centers and rims). Our study suggests the importance of considering microtopographic features and their spatial coverage in computing spatially aggregated carbon exchange. Article in Journal/Newspaper Arctic Ice permafrost Tundra wedge* University of California: eScholarship Arctic |
institution |
Open Polar |
collection |
University of California: eScholarship |
op_collection_id |
ftcdlib |
language |
unknown |
topic |
Built Environment and Design Environmental Management Environmental Sciences Architecture Urban and Regional Planning net ecosystem exchange ice-wedge polygons Kalman filter tram system normalized difference vegetation index greenness index Environmental Science and Management |
spellingShingle |
Built Environment and Design Environmental Management Environmental Sciences Architecture Urban and Regional Planning net ecosystem exchange ice-wedge polygons Kalman filter tram system normalized difference vegetation index greenness index Environmental Science and Management Wainwright, Haruko M Oktem, Rusen Dafflon, Baptiste Dengel, Sigrid Curtis, John B Torn, Margaret S Cherry, Jessica Hubbard, Susan S High-Resolution Spatio-Temporal Estimation of Net Ecosystem Exchange in Ice-Wedge Polygon Tundra Using In Situ Sensors and Remote Sensing Data |
topic_facet |
Built Environment and Design Environmental Management Environmental Sciences Architecture Urban and Regional Planning net ecosystem exchange ice-wedge polygons Kalman filter tram system normalized difference vegetation index greenness index Environmental Science and Management |
description |
Land-atmosphere carbon exchange is known to be extremely heterogeneous in arctic ice-wedge polygonal tundra regions. In this study, a Kalman filter-based method was developed to estimate the spatio-temporal dynamics of daytime average net ecosystem exchange (NEEday) at 0.5-m resolution over a 550 m by 700 m study site. We integrated multi-scale, multi-type datasets, including normalized difference vegetation indices (NDVIs) obtained from a novel automated mobile sensor system (or tram system) and a greenness index map obtained from airborne imagery. We took advantage of the significant correlations between NDVI and NEEday identified based on flux chamber measurements. The weighted average of the estimated NEEday within the flux-tower footprint agreed with the flux tower data in term of its seasonal dynamics. We then evaluated the spatial variability of the growing season average NEEday, as a function of polygon geomorphic classes; i.e., the combination of polygon types—which are known to present different degradation stages associated with permafrost thaw—and microtopographic features (i.e., troughs, centers and rims). Our study suggests the importance of considering microtopographic features and their spatial coverage in computing spatially aggregated carbon exchange. |
format |
Article in Journal/Newspaper |
author |
Wainwright, Haruko M Oktem, Rusen Dafflon, Baptiste Dengel, Sigrid Curtis, John B Torn, Margaret S Cherry, Jessica Hubbard, Susan S |
author_facet |
Wainwright, Haruko M Oktem, Rusen Dafflon, Baptiste Dengel, Sigrid Curtis, John B Torn, Margaret S Cherry, Jessica Hubbard, Susan S |
author_sort |
Wainwright, Haruko M |
title |
High-Resolution Spatio-Temporal Estimation of Net Ecosystem Exchange in Ice-Wedge Polygon Tundra Using In Situ Sensors and Remote Sensing Data |
title_short |
High-Resolution Spatio-Temporal Estimation of Net Ecosystem Exchange in Ice-Wedge Polygon Tundra Using In Situ Sensors and Remote Sensing Data |
title_full |
High-Resolution Spatio-Temporal Estimation of Net Ecosystem Exchange in Ice-Wedge Polygon Tundra Using In Situ Sensors and Remote Sensing Data |
title_fullStr |
High-Resolution Spatio-Temporal Estimation of Net Ecosystem Exchange in Ice-Wedge Polygon Tundra Using In Situ Sensors and Remote Sensing Data |
title_full_unstemmed |
High-Resolution Spatio-Temporal Estimation of Net Ecosystem Exchange in Ice-Wedge Polygon Tundra Using In Situ Sensors and Remote Sensing Data |
title_sort |
high-resolution spatio-temporal estimation of net ecosystem exchange in ice-wedge polygon tundra using in situ sensors and remote sensing data |
publisher |
eScholarship, University of California |
publishDate |
2021 |
url |
https://escholarship.org/uc/item/3jz0q8wn |
op_coverage |
722 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Ice permafrost Tundra wedge* |
genre_facet |
Arctic Ice permafrost Tundra wedge* |
op_source |
Land, vol 10, iss 7 |
op_relation |
qt3jz0q8wn https://escholarship.org/uc/item/3jz0q8wn |
op_rights |
public |
_version_ |
1787422561043218432 |