A Land Surface Phenology Assessment of the Northern Polar Regions Using MODIS Reflectance Time Series
The study of changes in phenology and, in particular, land surface phenology (LSP) provides an important approach to detecting responses to climate change in terrestrial ecosystems. LSP has been studied primarily through analysis of time series of vegetation indices retrieved from passive optical se...
Published in: | Canadian Journal of Remote Sensing |
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Online Access: | https://openprairie.sdstate.edu/nrm_pubs/29 https://doi.org/10.5589/m10-021 |
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ftsdakotastateun:oai:openprairie.sdstate.edu:nrm_pubs-1028 2023-11-12T04:13:14+01:00 A Land Surface Phenology Assessment of the Northern Polar Regions Using MODIS Reflectance Time Series de Beurs, K. M. Henebry, G. M 2010-07-16T07:00:00Z https://openprairie.sdstate.edu/nrm_pubs/29 https://doi.org/10.5589/m10-021 unknown Open PRAIRIE: Open Public Research Access Institutional Repository and Information Exchange https://openprairie.sdstate.edu/nrm_pubs/29 http://dx.doi.org/10.5589/m10-021 © 2010 CASI Natural Resource Management Faculty Publications Geographic Information Sciences Physical and Environmental Geography text 2010 ftsdakotastateun https://doi.org/10.5589/m10-021 2023-10-30T09:36:26Z The study of changes in phenology and, in particular, land surface phenology (LSP) provides an important approach to detecting responses to climate change in terrestrial ecosystems. LSP has been studied primarily through analysis of time series of vegetation indices retrieved from passive optical sensors, such as the series of AVHRRs on polar-orbiting satellites and the pair of MODIS sensors on the Terra and Aqua platforms that provide higher spatial, spectral, and radiometric resolution. Most broad-scale vegetation studies use normalized difference vegetation index (NDVI) data. Here, we provide an overview of the LSP of the northern polar and high-latitude regions (§60uN) based on MODIS data at climate modeling grid (0.05u) resolution. We demonstrate the relationship between three onset-of-greening measures and snow cover and accumulated growing degree-days. We show that the Arctic Oscillation index is significantly correlated with the peak timing of the growing seasons since 2000 for a range of ecoregions, and we demonstrate that there were more than three times as many negative NDVI changes since 2000 as positive changes (25.3% versus 7.3%) based on all land area above 60uN. We reveal that these changes are predominantly driven by minimum temperature changes. Text Arctic Climate change South Dakota State University (SDSU): Open PRAIRIE (Public Research Access Institutional Repository and Information Exchange) Arctic Canadian Journal of Remote Sensing 36 sup1 S87 S110 |
institution |
Open Polar |
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South Dakota State University (SDSU): Open PRAIRIE (Public Research Access Institutional Repository and Information Exchange) |
op_collection_id |
ftsdakotastateun |
language |
unknown |
topic |
Geographic Information Sciences Physical and Environmental Geography |
spellingShingle |
Geographic Information Sciences Physical and Environmental Geography de Beurs, K. M. Henebry, G. M A Land Surface Phenology Assessment of the Northern Polar Regions Using MODIS Reflectance Time Series |
topic_facet |
Geographic Information Sciences Physical and Environmental Geography |
description |
The study of changes in phenology and, in particular, land surface phenology (LSP) provides an important approach to detecting responses to climate change in terrestrial ecosystems. LSP has been studied primarily through analysis of time series of vegetation indices retrieved from passive optical sensors, such as the series of AVHRRs on polar-orbiting satellites and the pair of MODIS sensors on the Terra and Aqua platforms that provide higher spatial, spectral, and radiometric resolution. Most broad-scale vegetation studies use normalized difference vegetation index (NDVI) data. Here, we provide an overview of the LSP of the northern polar and high-latitude regions (§60uN) based on MODIS data at climate modeling grid (0.05u) resolution. We demonstrate the relationship between three onset-of-greening measures and snow cover and accumulated growing degree-days. We show that the Arctic Oscillation index is significantly correlated with the peak timing of the growing seasons since 2000 for a range of ecoregions, and we demonstrate that there were more than three times as many negative NDVI changes since 2000 as positive changes (25.3% versus 7.3%) based on all land area above 60uN. We reveal that these changes are predominantly driven by minimum temperature changes. |
format |
Text |
author |
de Beurs, K. M. Henebry, G. M |
author_facet |
de Beurs, K. M. Henebry, G. M |
author_sort |
de Beurs, K. M. |
title |
A Land Surface Phenology Assessment of the Northern Polar Regions Using MODIS Reflectance Time Series |
title_short |
A Land Surface Phenology Assessment of the Northern Polar Regions Using MODIS Reflectance Time Series |
title_full |
A Land Surface Phenology Assessment of the Northern Polar Regions Using MODIS Reflectance Time Series |
title_fullStr |
A Land Surface Phenology Assessment of the Northern Polar Regions Using MODIS Reflectance Time Series |
title_full_unstemmed |
A Land Surface Phenology Assessment of the Northern Polar Regions Using MODIS Reflectance Time Series |
title_sort |
land surface phenology assessment of the northern polar regions using modis reflectance time series |
publisher |
Open PRAIRIE: Open Public Research Access Institutional Repository and Information Exchange |
publishDate |
2010 |
url |
https://openprairie.sdstate.edu/nrm_pubs/29 https://doi.org/10.5589/m10-021 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change |
genre_facet |
Arctic Climate change |
op_source |
Natural Resource Management Faculty Publications |
op_relation |
https://openprairie.sdstate.edu/nrm_pubs/29 http://dx.doi.org/10.5589/m10-021 |
op_rights |
© 2010 CASI |
op_doi |
https://doi.org/10.5589/m10-021 |
container_title |
Canadian Journal of Remote Sensing |
container_volume |
36 |
container_issue |
sup1 |
container_start_page |
S87 |
op_container_end_page |
S110 |
_version_ |
1782331340694224896 |