Accuracy assessment of four cloud-free snow cover products over the Qinghai-Tibetan Plateau. Issue 4 (3rd April 2019)

• Record Type: Journal Article
• Authors: Hao, Xiaohua; Luo, Siqiong; Che, Tao; Wang, Jian; Li, Hongyi; Dai, Liyun; Huang, Xiaodong; Feng, Qisheng
• Is Part Of: International journal of digital earth. Volume 12:Issue 4(2019)
• Page Start: 375
• Page End: 393
• Publication Date: 2019-04-03
• Subjects: MODIS -- IMS -- snow-covered area -- cloud removal -- TAI; Geographic information systems -- Periodicals; Sustainable development -- Information technology -- Periodicals; Social planning -- Information technology -- Periodicals; 910.285
• DOI: 10.1080/17538947.2017.1421721
• Languages: English
• ISSNs: 1753-8947

Abstract

ABSTRACT: Four up-to-date daily cloud-free snow products – IMS (Interactive Multisensor Snow products), MOD-SSM/I (combination of the MODIS and SSM/I snow products), MOD-B (Blending method basing on the MODIS snow cover products) and TAI (Terra–Aqua–IMS) – with high-resolutions over the Qinghai-Tibetan Plateau (QTP) were comprehensively assessed. Comparisons of the IMS, MOD-SSM/I, MOD-B and TAI cloud-free snow products against meteorological stations observations over 10 snow seasons (2004–2013) over the QTP indicated overall accuracies of 76.0%, 89.3%, 92.0% and 92.0%, respectively. The K hat values of the IMS, MOD-SSM/I, MOD-B and TAI products were 0.084, 0.463, 0.428 and 0.526, respectively. The TAI products appear to have the best cloud-removal ability among the four snow products over the QTP. Based on the assessment, an I-TAI (Improvement of Terra–Aqua–IMS) snow product was proposed, which can improve the accuracy to some extent. However, the algorithms of the MODIS series products show instability when identifying wet snow and snow under forest cover over the QTP. The snow misclassification is an important limitation of MODIS snow cover products and requires additional improvements.