title: [A snow depth inversion method for the HJ-1B satellite data].
abstract: The importance of the snow is self-evident, while the harms caused by the snow have also received more and more attention. At present, the retrieval of snow depth mainly focused on the use of microwave remote sensing data or a small amount of optical remote sensing data, such as the meteorological data or the MODIS data. The small satellites for environment and disaster monitoring of China are quite different form the meteorological data and MODIS data, both in the spectral resolution or spatial resolution. In this paper, aimed at the HJ-1B data, snow spectral of different underlying surfaces and depths were surveyed. The correlation between snow cover index and snow depth was also analyzed to establish the model for the snow depth retrieval using the HJ-1B data. The validation results showed that it can meet the requirements of real-time monitoring the snow depth on the condition of conventional snow depth.
authors.affiliation: School of Earth and Space Science, Peking University, Beijing 100871, China. dong3s@163.com
authors.forename: Ting-Xu
authors.initials: TX
authors.lastname: Dong
authors.forename: Hong-Bo
authors.initials: HB
authors.lastname: Jiang
authors.forename: Chao
authors.initials: C
authors.lastname: Chen
authors.forename: Qi-Ming
authors.initials: QM
authors.lastname: Qin