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Remote Sens. 2017, 9(6), 585; doi:10.3390/rs9060585

Assessment of the Daily Cloud-Free MODIS Snow-Cover Product for Monitoring the Snow-Cover Phenology over the Qinghai-Tibetan Plateau

1
State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, Gansu, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
Laboratory of Remote Sensing and Geospatial Science, Lanzhou Library, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, Gansu, China
4
College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
*
Author to whom correspondence should be addressed.
Academic Editors: Xiaofeng Li and Prasad S. Thenkabail
Received: 7 May 2017 / Revised: 31 May 2017 / Accepted: 7 June 2017 / Published: 10 June 2017
View Full-Text   |   Download PDF [4992 KB, uploaded 10 June 2017]   |  

Abstract

Snow cover plays a crucial role in surface hydrology and energy balance, especially in the Qinghai-Tibetan Plateau (QTP). This study used 12 years (2000–2011) of ground-observed snow depth at 87 meteorological stations to assess and verify the accuracy of the daily cloud-free snow-cover product from the Moderate Resolution Imaging Spectroradiometer (MODIS) over the QTP. On average, the daily cloud-free MODIS snow-cover product correctly identified the occurrence of snow cover with an accuracy of 90.74%, ranging from 54.39% to 99.07% among the 87 sites. The MODIS-derived data have large uncertainties in identifying the snow-cover phenology on the threshold of FSC >0 and FSC >50% (FSC, fractional snow cover). However, the MODIS-derived data can capture the interannual variability of the snow-cover phenology as compared with in situ observations. This study highlights the uncertainties in the daily snow-free MODIS snow-cover product to reflect snow-cover phenology over the QTP. View Full-Text
Keywords: snow; MODIS; snow cover phenology; in situ snow depth; FSC threshold snow; MODIS; snow cover phenology; in situ snow depth; FSC threshold
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Xu, W.; Ma, H.; Wu, D.; Yuan, W. Assessment of the Daily Cloud-Free MODIS Snow-Cover Product for Monitoring the Snow-Cover Phenology over the Qinghai-Tibetan Plateau. Remote Sens. 2017, 9, 585.

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