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Assessment of Automated Snow Cover Detection at High Solar Zenith Angles with PROBA-V

Onglets principaux

Hawotte, Florent [UCL] Radoux, Julien [UCL] Chomé, Guillaume [UCL] Defourny, Pierre [UCL]

Changes in the snow cover extent are both a cause and a consequence of climate change. Optical remote sensing with heliosynchronous satellites currently provides snow cover data at high spatial resolution with daily revisiting time. However, high latitude image acquisition is limited because reflective sensors of many satellites are switched off at high solar zenith angles (SZA) due to lower signal quality. In this study, the relevance and reliability of high SZA acquisition are objectively quantified in the purpose of high latitude snow cover detection, thanks to the PROBA-V (Project for On-Board Autonomy-Vegetation) satellite. A snow cover extent classification based on Normalized Difference Snow Index (NDSI) and Normalized Difference Vegetation Index (NDVI) has been performed for the northern hemisphere on latitudes between 55N and 75N during the 2015–2016 winter season. A stratified probabilistic sampling was used to estimate the classification accuracy. The latter has been evaluated among eight SZA intervals to determine the maximum usable angle. The global overall snow classification accuracy with PROBA-V, 82% 4%, was significantly larger than the MODIS (Moderate-resolution Imaging Spectroradiometer) snow cover extent product (75% 4%). User and producer accuracy of snow are above standards and overall accuracy is stable until 88.5 SZA. These results demonstrate that optical remote sensing data can still be used with large SZA. Considering the relevance of snow cover mapping for ecology and climatology, the data acquisition at high solar zenith angles should be continued by PROBA-V.

Type de document Article de périodique (Journal article) – Article de recherche
Type d'accès Accès restreint
Année de publication 2016
Langue Anglais
Information sur le périodique "Remote Sensing" - Vol. 8, no.9, p. n°699 (24 August 2016)
Peer reviewed oui
Editeur M D P I AG ((Switzerland) Basel)
issn 2072-4292
e-issn 2072-4292
Statut de la publication Publié
Affiliations UCL - SST/ELI/ELIE - Environmental Sciences
Mots-clés snow ; high latitudes ; PROBA-V ; SZA ; NDSI ; NDVI ; classification ; MODIS
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Référence bibliographique Hawotte, Florent ; Radoux, Julien ; Chomé, Guillaume ; Defourny, Pierre. Assessment of Automated Snow Cover Detection at High Solar Zenith Angles with PROBA-V. In: Remote Sensing, Vol. 8, no.9, p. n°699 (24 August 2016)
Permalien http://hdl.handle.net/2078.1/176589