Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography
The seasonal snow-cover is one of the most rapidly varying natural surface features on Earth. It strongly modulates the terrestrial water, energy, and carbon balance. Fractional snow-covered area (fSCA) is an essential snow variable that can be retrieved from multispectral satellite imagery. In this...
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ftoslouniv:oai:www.duo.uio.no:10852/75290 2023-05-15T14:27:28+02:00 Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography Aalstad, Kristoffer Westermann, Sebastian Bertino, Laurent 2020-01-07T10:44:49Z http://hdl.handle.net/10852/75290 http://urn.nb.no/URN:NBN:no-78365 https://doi.org/10.1016/j.rse.2019.111618 EN eng http://urn.nb.no/URN:NBN:no-78365 Aalstad, Kristoffer Westermann, Sebastian Bertino, Laurent . Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography. Remote Sensing of Environment. 2020, 239 http://hdl.handle.net/10852/75290 1767466 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote Sensing of Environment&rft.volume=239&rft.spage=&rft.date=2020 Remote Sensing of Environment 239 https://doi.org/10.1016/j.rse.2019.111618 URN:NBN:no-78365 Fulltext https://www.duo.uio.no/bitstream/handle/10852/75290/2/RSE_111618.pdf Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ CC-BY 0034-4257 Journal article Tidsskriftartikkel Peer reviewed PublishedVersion 2020 ftoslouniv https://doi.org/10.1016/j.rse.2019.111618 2020-06-21T08:54:20Z The seasonal snow-cover is one of the most rapidly varying natural surface features on Earth. It strongly modulates the terrestrial water, energy, and carbon balance. Fractional snow-covered area (fSCA) is an essential snow variable that can be retrieved from multispectral satellite imagery. In this study, we evaluate fSCA retrievals from multiple sensors that are currently in polar orbit: the operational land imager (OLI) on-board Landsat 8, the multispectral instrument (MSI) on-board the Sentinel-2 satellites, and the moderate resolution imaging spectroradiometer (MODIS) on-board Terra and Aqua. We consider several retrieval algorithms that fall into three classes: thresholding of the normalized difference snow index (NDSI), regression on the NDSI, and spectral unmixing. We conduct the evaluation at a high-Arctic site in Svalbard, Norway, by comparing satellite retrieved fSCA to coincident high-resolution snow-cover maps obtained from a terrestrial automatic camera system. For the lower resolution MODIS retrievals, the regression-based retrievals outperformed the unmixing-based retrievals for all metrics but the bias. For the higher resolution sensors (OLI and MSI), retrievals based on NDSI thresholding overestimated the fSCA due to the mixed pixel problem whereas spectral unmixing retrievals provided the most reliable estimates across the board. We therefore encourage the operationalization of spectral unmixing retrievals of fSCA from both OLI and MSI. Article in Journal/Newspaper Arctic Arctic Svalbard Universitet i Oslo: Digitale utgivelser ved UiO (DUO) Arctic Norway Svalbard The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) Remote Sensing of Environment 239 111618 |
institution |
Open Polar |
collection |
Universitet i Oslo: Digitale utgivelser ved UiO (DUO) |
op_collection_id |
ftoslouniv |
language |
English |
description |
The seasonal snow-cover is one of the most rapidly varying natural surface features on Earth. It strongly modulates the terrestrial water, energy, and carbon balance. Fractional snow-covered area (fSCA) is an essential snow variable that can be retrieved from multispectral satellite imagery. In this study, we evaluate fSCA retrievals from multiple sensors that are currently in polar orbit: the operational land imager (OLI) on-board Landsat 8, the multispectral instrument (MSI) on-board the Sentinel-2 satellites, and the moderate resolution imaging spectroradiometer (MODIS) on-board Terra and Aqua. We consider several retrieval algorithms that fall into three classes: thresholding of the normalized difference snow index (NDSI), regression on the NDSI, and spectral unmixing. We conduct the evaluation at a high-Arctic site in Svalbard, Norway, by comparing satellite retrieved fSCA to coincident high-resolution snow-cover maps obtained from a terrestrial automatic camera system. For the lower resolution MODIS retrievals, the regression-based retrievals outperformed the unmixing-based retrievals for all metrics but the bias. For the higher resolution sensors (OLI and MSI), retrievals based on NDSI thresholding overestimated the fSCA due to the mixed pixel problem whereas spectral unmixing retrievals provided the most reliable estimates across the board. We therefore encourage the operationalization of spectral unmixing retrievals of fSCA from both OLI and MSI. |
format |
Article in Journal/Newspaper |
author |
Aalstad, Kristoffer Westermann, Sebastian Bertino, Laurent |
spellingShingle |
Aalstad, Kristoffer Westermann, Sebastian Bertino, Laurent Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography |
author_facet |
Aalstad, Kristoffer Westermann, Sebastian Bertino, Laurent |
author_sort |
Aalstad, Kristoffer |
title |
Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography |
title_short |
Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography |
title_full |
Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography |
title_fullStr |
Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography |
title_full_unstemmed |
Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography |
title_sort |
evaluating satellite retrieved fractional snow-covered area at a high-arctic site using terrestrial photography |
publishDate |
2020 |
url |
http://hdl.handle.net/10852/75290 http://urn.nb.no/URN:NBN:no-78365 https://doi.org/10.1016/j.rse.2019.111618 |
long_lat |
ENVELOPE(73.317,73.317,-52.983,-52.983) |
geographic |
Arctic Norway Svalbard The Sentinel |
geographic_facet |
Arctic Norway Svalbard The Sentinel |
genre |
Arctic Arctic Svalbard |
genre_facet |
Arctic Arctic Svalbard |
op_source |
0034-4257 |
op_relation |
http://urn.nb.no/URN:NBN:no-78365 Aalstad, Kristoffer Westermann, Sebastian Bertino, Laurent . Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography. Remote Sensing of Environment. 2020, 239 http://hdl.handle.net/10852/75290 1767466 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote Sensing of Environment&rft.volume=239&rft.spage=&rft.date=2020 Remote Sensing of Environment 239 https://doi.org/10.1016/j.rse.2019.111618 URN:NBN:no-78365 Fulltext https://www.duo.uio.no/bitstream/handle/10852/75290/2/RSE_111618.pdf |
op_rights |
Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1016/j.rse.2019.111618 |
container_title |
Remote Sensing of Environment |
container_volume |
239 |
container_start_page |
111618 |
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1766301226978246656 |