A Two-Stage Fusion Framework to Generate a Spatio–Temporally Continuous MODIS NDSI Product over the Tibetan Plateau

• Published in: Remote sensing (Basel, Switzerland) Vol. 11; no. 19; p. 2261
• Main Authors: Jing, Yinghong, Shen, Huanfeng, Li, Xinghua, Guan, Xiaobin
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 27.09.2019
• Subjects: Accuracy; Algorithms; Annual variations; China; climate; Climate change; Clouds; ecology; Error correction; Error correction & detection; gaussian kernel function; Hydrology; Kernel functions; landscapes; Methods; moderate resolution imaging spectroradiometer; MODIS; modis ndsi; monitoring; Occultation; Precipitation; Remote sensing; Sensors; Snow; Snow cover; snow cover variability; snowpack; spatio–temporal fusion method; Spectroradiometers; temperature; tibetan plateau; Tibetan Plateau; China

The Tibetan Plateau (TP) is an important component of the global environmental system, on which the snow cover greatly affects the regional climate and ecology. Moderate resolution imaging spectroradiometer (MODIS) snow cover products have been demonstrated to be appropriate for investigating the sn...