Estimating ice phenology on large northern lakes from AMSR-E: algorithm development and application to Great Bear Lake and Great Slave Lake, Canada
Time series of brightness temperatures ( T B ) from the Advanced Microwave Scanning Radiometer–Earth Observing System (AMSR-E) are examined to determine ice phenology variables on the two largest lakes of northern Canada: Great Bear Lake (GBL) and Great Slave Lake (GSL). T B measurements from the 18...
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Language: | English |
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Copernicus Publications
2012
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ftdoajarticles:oai:doaj.org/article:6c1dbc2324c34f4eaa6467fcdeb3248a 2023-05-15T16:22:59+02:00 Estimating ice phenology on large northern lakes from AMSR-E: algorithm development and application to Great Bear Lake and Great Slave Lake, Canada K.-K. Kang C. R. Duguay S. E. L. Howell 2012-03-01T00:00:00Z https://doi.org/10.5194/tc-6-235-2012 https://doaj.org/article/6c1dbc2324c34f4eaa6467fcdeb3248a EN eng Copernicus Publications http://www.the-cryosphere.net/6/235/2012/tc-6-235-2012.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-6-235-2012 1994-0416 1994-0424 https://doaj.org/article/6c1dbc2324c34f4eaa6467fcdeb3248a The Cryosphere, Vol 6, Iss 2, Pp 235-254 (2012) Environmental sciences GE1-350 Geology QE1-996.5 article 2012 ftdoajarticles https://doi.org/10.5194/tc-6-235-2012 2022-12-31T01:20:04Z Time series of brightness temperatures ( T B ) from the Advanced Microwave Scanning Radiometer–Earth Observing System (AMSR-E) are examined to determine ice phenology variables on the two largest lakes of northern Canada: Great Bear Lake (GBL) and Great Slave Lake (GSL). T B measurements from the 18.7, 23.8, 36.5, and 89.0 GHz channels (H- and V- polarization) are compared to assess their potential for detecting freeze-onset/melt-onset and ice-on/ice-off dates on both lakes. The 18.7 GHz (H-pol) channel is found to be the most suitable for estimating these ice dates as well as the duration of the ice cover and ice-free seasons. A new algorithm is proposed using this channel and applied to map all ice phenology variables on GBL and GSL over seven ice seasons (2002–2009). Analysis of the spatio-temporal patterns of each variable at the pixel level reveals that: (1) both freeze-onset and ice-on dates occur on average about one week earlier on GBL than on GSL (Day of Year (DY) 318 and 333 for GBL; DY 328 and 343 for GSL); (2) the freeze-up process or freeze duration (freeze-onset to ice-on) takes a slightly longer amount of time on GBL than on GSL (about 1 week on average); (3) melt-onset and ice-off dates occur on average one week and approximately four weeks later, respectively, on GBL (DY 143 and 183 for GBL; DY 135 and 157 for GSL); (4) the break-up process or melt duration (melt-onset to ice-off) lasts on average about three weeks longer on GBL; and (5) ice cover duration estimated from each individual pixel is on average about three weeks longer on GBL compared to its more southern counterpart, GSL. A comparison of dates for several ice phenology variables derived from other satellite remote sensing products (e.g. NOAA Interactive Multisensor Snow and Ice Mapping System (IMS), QuikSCAT, and Canadian Ice Service Database) show that, despite its relatively coarse spatial resolution, AMSR-E 18.7 GHz provides a viable means for monitoring of ice phenology on large northern lakes. Article in Journal/Newspaper Great Bear Lake Great Slave Lake The Cryosphere Directory of Open Access Journals: DOAJ Articles Canada Great Slave Lake ENVELOPE(-114.001,-114.001,61.500,61.500) Dy ENVELOPE(11.369,11.369,64.834,64.834) Great Bear Lake ENVELOPE(-120.753,-120.753,65.834,65.834) The Cryosphere 6 2 235 254 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental sciences GE1-350 Geology QE1-996.5 |
spellingShingle |
Environmental sciences GE1-350 Geology QE1-996.5 K.-K. Kang C. R. Duguay S. E. L. Howell Estimating ice phenology on large northern lakes from AMSR-E: algorithm development and application to Great Bear Lake and Great Slave Lake, Canada |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
description |
Time series of brightness temperatures ( T B ) from the Advanced Microwave Scanning Radiometer–Earth Observing System (AMSR-E) are examined to determine ice phenology variables on the two largest lakes of northern Canada: Great Bear Lake (GBL) and Great Slave Lake (GSL). T B measurements from the 18.7, 23.8, 36.5, and 89.0 GHz channels (H- and V- polarization) are compared to assess their potential for detecting freeze-onset/melt-onset and ice-on/ice-off dates on both lakes. The 18.7 GHz (H-pol) channel is found to be the most suitable for estimating these ice dates as well as the duration of the ice cover and ice-free seasons. A new algorithm is proposed using this channel and applied to map all ice phenology variables on GBL and GSL over seven ice seasons (2002–2009). Analysis of the spatio-temporal patterns of each variable at the pixel level reveals that: (1) both freeze-onset and ice-on dates occur on average about one week earlier on GBL than on GSL (Day of Year (DY) 318 and 333 for GBL; DY 328 and 343 for GSL); (2) the freeze-up process or freeze duration (freeze-onset to ice-on) takes a slightly longer amount of time on GBL than on GSL (about 1 week on average); (3) melt-onset and ice-off dates occur on average one week and approximately four weeks later, respectively, on GBL (DY 143 and 183 for GBL; DY 135 and 157 for GSL); (4) the break-up process or melt duration (melt-onset to ice-off) lasts on average about three weeks longer on GBL; and (5) ice cover duration estimated from each individual pixel is on average about three weeks longer on GBL compared to its more southern counterpart, GSL. A comparison of dates for several ice phenology variables derived from other satellite remote sensing products (e.g. NOAA Interactive Multisensor Snow and Ice Mapping System (IMS), QuikSCAT, and Canadian Ice Service Database) show that, despite its relatively coarse spatial resolution, AMSR-E 18.7 GHz provides a viable means for monitoring of ice phenology on large northern lakes. |
format |
Article in Journal/Newspaper |
author |
K.-K. Kang C. R. Duguay S. E. L. Howell |
author_facet |
K.-K. Kang C. R. Duguay S. E. L. Howell |
author_sort |
K.-K. Kang |
title |
Estimating ice phenology on large northern lakes from AMSR-E: algorithm development and application to Great Bear Lake and Great Slave Lake, Canada |
title_short |
Estimating ice phenology on large northern lakes from AMSR-E: algorithm development and application to Great Bear Lake and Great Slave Lake, Canada |
title_full |
Estimating ice phenology on large northern lakes from AMSR-E: algorithm development and application to Great Bear Lake and Great Slave Lake, Canada |
title_fullStr |
Estimating ice phenology on large northern lakes from AMSR-E: algorithm development and application to Great Bear Lake and Great Slave Lake, Canada |
title_full_unstemmed |
Estimating ice phenology on large northern lakes from AMSR-E: algorithm development and application to Great Bear Lake and Great Slave Lake, Canada |
title_sort |
estimating ice phenology on large northern lakes from amsr-e: algorithm development and application to great bear lake and great slave lake, canada |
publisher |
Copernicus Publications |
publishDate |
2012 |
url |
https://doi.org/10.5194/tc-6-235-2012 https://doaj.org/article/6c1dbc2324c34f4eaa6467fcdeb3248a |
long_lat |
ENVELOPE(-114.001,-114.001,61.500,61.500) ENVELOPE(11.369,11.369,64.834,64.834) ENVELOPE(-120.753,-120.753,65.834,65.834) |
geographic |
Canada Great Slave Lake Dy Great Bear Lake |
geographic_facet |
Canada Great Slave Lake Dy Great Bear Lake |
genre |
Great Bear Lake Great Slave Lake The Cryosphere |
genre_facet |
Great Bear Lake Great Slave Lake The Cryosphere |
op_source |
The Cryosphere, Vol 6, Iss 2, Pp 235-254 (2012) |
op_relation |
http://www.the-cryosphere.net/6/235/2012/tc-6-235-2012.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-6-235-2012 1994-0416 1994-0424 https://doaj.org/article/6c1dbc2324c34f4eaa6467fcdeb3248a |
op_doi |
https://doi.org/10.5194/tc-6-235-2012 |
container_title |
The Cryosphere |
container_volume |
6 |
container_issue |
2 |
container_start_page |
235 |
op_container_end_page |
254 |
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1766011143587889152 |