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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ftrepec:oai:RePEc:gam:jlands:v:10:y:2021:i:7:p:722-:d:591282 2024-04-14T08:08:08+00:00 High-Resolution Spatio-Temporal Estimation of Net Ecosystem Exchange in Ice-Wedge Polygon Tundra Using In Situ Sensors and Remote Sensing Data Haruko M. Wainwright Rusen Oktem Baptiste Dafflon Sigrid Dengel John B. Curtis Margaret S. Torn Jessica Cherry Susan S. Hubbard https://www.mdpi.com/2073-445X/10/7/722/pdf https://www.mdpi.com/2073-445X/10/7/722/ unknown https://www.mdpi.com/2073-445X/10/7/722/pdf https://www.mdpi.com/2073-445X/10/7/722/ article ftrepec 2024-03-19T10:41:42Z 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. net ecosystem exchange; ice-wedge polygons; Kalman filter; tram system; normalized difference vegetation index; greenness index Article in Journal/Newspaper Arctic Ice permafrost Tundra wedge* RePEc (Research Papers in Economics) Arctic |
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Open Polar |
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RePEc (Research Papers in Economics) |
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ftrepec |
language |
unknown |
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. net ecosystem exchange; ice-wedge polygons; Kalman filter; tram system; normalized difference vegetation index; greenness index |
format |
Article in Journal/Newspaper |
author |
Haruko M. Wainwright Rusen Oktem Baptiste Dafflon Sigrid Dengel John B. Curtis Margaret S. Torn Jessica Cherry Susan S. Hubbard |
spellingShingle |
Haruko M. Wainwright Rusen Oktem Baptiste Dafflon Sigrid Dengel John B. Curtis Margaret S. Torn Jessica Cherry Susan S. Hubbard High-Resolution Spatio-Temporal Estimation of Net Ecosystem Exchange in Ice-Wedge Polygon Tundra Using In Situ Sensors and Remote Sensing Data |
author_facet |
Haruko M. Wainwright Rusen Oktem Baptiste Dafflon Sigrid Dengel John B. Curtis Margaret S. Torn Jessica Cherry Susan S. Hubbard |
author_sort |
Haruko M. Wainwright |
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 |
url |
https://www.mdpi.com/2073-445X/10/7/722/pdf https://www.mdpi.com/2073-445X/10/7/722/ |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Ice permafrost Tundra wedge* |
genre_facet |
Arctic Ice permafrost Tundra wedge* |
op_relation |
https://www.mdpi.com/2073-445X/10/7/722/pdf https://www.mdpi.com/2073-445X/10/7/722/ |
_version_ |
1796305568060669952 |