Landsat-derived bathymetry of lakes on the Arctic Coastal Plain of northern Alaska
The Pleistocene sand sea on the Arctic Coastal Plain (ACP) of northern Alaska is underlain by an ancient sand dune field, a geological feature that affects regional lake characteristics. Many of these lakes, which cover approximately 20 % of the Pleistocene sand sea, are relatively deep (up to 25 m)...
Published in: | Earth System Science Data |
---|---|
Main Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2021
|
Subjects: | |
Online Access: | https://doi.org/10.5194/essd-13-1135-2021 https://doaj.org/article/826c5fe85d3d4e0b8ae2873912323566 |
id |
ftdoajarticles:oai:doaj.org/article:826c5fe85d3d4e0b8ae2873912323566 |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:826c5fe85d3d4e0b8ae2873912323566 2023-05-15T15:01:51+02:00 Landsat-derived bathymetry of lakes on the Arctic Coastal Plain of northern Alaska C. E. Simpson C. D. Arp Y. Sheng M. L. Carroll B. M. Jones L. C. Smith 2021-03-01T00:00:00Z https://doi.org/10.5194/essd-13-1135-2021 https://doaj.org/article/826c5fe85d3d4e0b8ae2873912323566 EN eng Copernicus Publications https://essd.copernicus.org/articles/13/1135/2021/essd-13-1135-2021.pdf https://doaj.org/toc/1866-3508 https://doaj.org/toc/1866-3516 doi:10.5194/essd-13-1135-2021 1866-3508 1866-3516 https://doaj.org/article/826c5fe85d3d4e0b8ae2873912323566 Earth System Science Data, Vol 13, Pp 1135-1150 (2021) Environmental sciences GE1-350 Geology QE1-996.5 article 2021 ftdoajarticles https://doi.org/10.5194/essd-13-1135-2021 2022-12-31T05:49:24Z The Pleistocene sand sea on the Arctic Coastal Plain (ACP) of northern Alaska is underlain by an ancient sand dune field, a geological feature that affects regional lake characteristics. Many of these lakes, which cover approximately 20 % of the Pleistocene sand sea, are relatively deep (up to 25 m). In addition to the natural importance of ACP sand sea lakes for water storage, energy balance, and ecological habitat, the need for winter water for industrial development and exploration activities makes lakes in this region a valuable resource. However, ACP sand sea lakes have received little prior study. Here, we collect in situ bathymetric data to test 12 model variants for predicting sand sea lake depth based on analysis of Landsat-8 Operational Land Imager (OLI) images. Lake depth gradients were measured at 17 lakes in midsummer 2017 using a Humminbird 798ci HD SI Combo automatic sonar system. The field-measured data points were compared to red–green–blue (RGB) bands of a Landsat-8 OLI image acquired on 8 August 2016 to select and calibrate the most accurate spectral-depth model for each study lake and map bathymetry. Exponential functions using a simple band ratio (with bands selected based on lake turbidity and bed substrate) yielded the most successful model variants. For each lake, the most accurate model explained 81.8 % of the variation in depth, on average. Modeled lake bathymetries were integrated with remotely sensed lake surface area to quantify lake water storage volumes, which ranged from <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1" display="inline" overflow="scroll" dspmath="mathml"><mrow><mn mathvariant="normal">1.056</mn><mo>×</mo><msup><mn mathvariant="normal">10</mn><mrow><mo>-</mo><mn mathvariant="normal">3</mn></mrow></msup></mrow></math> <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="63pt" height="14pt" class="svg-formula" dspmath="mathimg" ... Article in Journal/Newspaper Arctic Alaska Directory of Open Access Journals: DOAJ Articles Arctic Earth System Science Data 13 3 1135 1150 |
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 C. E. Simpson C. D. Arp Y. Sheng M. L. Carroll B. M. Jones L. C. Smith Landsat-derived bathymetry of lakes on the Arctic Coastal Plain of northern Alaska |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
description |
The Pleistocene sand sea on the Arctic Coastal Plain (ACP) of northern Alaska is underlain by an ancient sand dune field, a geological feature that affects regional lake characteristics. Many of these lakes, which cover approximately 20 % of the Pleistocene sand sea, are relatively deep (up to 25 m). In addition to the natural importance of ACP sand sea lakes for water storage, energy balance, and ecological habitat, the need for winter water for industrial development and exploration activities makes lakes in this region a valuable resource. However, ACP sand sea lakes have received little prior study. Here, we collect in situ bathymetric data to test 12 model variants for predicting sand sea lake depth based on analysis of Landsat-8 Operational Land Imager (OLI) images. Lake depth gradients were measured at 17 lakes in midsummer 2017 using a Humminbird 798ci HD SI Combo automatic sonar system. The field-measured data points were compared to red–green–blue (RGB) bands of a Landsat-8 OLI image acquired on 8 August 2016 to select and calibrate the most accurate spectral-depth model for each study lake and map bathymetry. Exponential functions using a simple band ratio (with bands selected based on lake turbidity and bed substrate) yielded the most successful model variants. For each lake, the most accurate model explained 81.8 % of the variation in depth, on average. Modeled lake bathymetries were integrated with remotely sensed lake surface area to quantify lake water storage volumes, which ranged from <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1" display="inline" overflow="scroll" dspmath="mathml"><mrow><mn mathvariant="normal">1.056</mn><mo>×</mo><msup><mn mathvariant="normal">10</mn><mrow><mo>-</mo><mn mathvariant="normal">3</mn></mrow></msup></mrow></math> <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="63pt" height="14pt" class="svg-formula" dspmath="mathimg" ... |
format |
Article in Journal/Newspaper |
author |
C. E. Simpson C. D. Arp Y. Sheng M. L. Carroll B. M. Jones L. C. Smith |
author_facet |
C. E. Simpson C. D. Arp Y. Sheng M. L. Carroll B. M. Jones L. C. Smith |
author_sort |
C. E. Simpson |
title |
Landsat-derived bathymetry of lakes on the Arctic Coastal Plain of northern Alaska |
title_short |
Landsat-derived bathymetry of lakes on the Arctic Coastal Plain of northern Alaska |
title_full |
Landsat-derived bathymetry of lakes on the Arctic Coastal Plain of northern Alaska |
title_fullStr |
Landsat-derived bathymetry of lakes on the Arctic Coastal Plain of northern Alaska |
title_full_unstemmed |
Landsat-derived bathymetry of lakes on the Arctic Coastal Plain of northern Alaska |
title_sort |
landsat-derived bathymetry of lakes on the arctic coastal plain of northern alaska |
publisher |
Copernicus Publications |
publishDate |
2021 |
url |
https://doi.org/10.5194/essd-13-1135-2021 https://doaj.org/article/826c5fe85d3d4e0b8ae2873912323566 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Alaska |
genre_facet |
Arctic Alaska |
op_source |
Earth System Science Data, Vol 13, Pp 1135-1150 (2021) |
op_relation |
https://essd.copernicus.org/articles/13/1135/2021/essd-13-1135-2021.pdf https://doaj.org/toc/1866-3508 https://doaj.org/toc/1866-3516 doi:10.5194/essd-13-1135-2021 1866-3508 1866-3516 https://doaj.org/article/826c5fe85d3d4e0b8ae2873912323566 |
op_doi |
https://doi.org/10.5194/essd-13-1135-2021 |
container_title |
Earth System Science Data |
container_volume |
13 |
container_issue |
3 |
container_start_page |
1135 |
op_container_end_page |
1150 |
_version_ |
1766333857216331776 |