A New Geostationary Satellite-Based Snow Cover Recognition Method for FY-4A AGRI
Snow cover is an important component of the cryosphere. Clouds have a large influence on optical remote sensing satellites when recognizing snow cover. Geostationary satellites, due to their high-frequency observations over coverage areas, can effectively compensate for the drawback of snow cover re...
Guardado en:
Autores principales: | Haiwei Qiao, Ping Zhang, Zhen Li, Chang Liu |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/78a8bbf84d644b53ad38c73616c10ea9 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A Moving Ship Detection and Tracking Method Based on Optical Remote Sensing Images from the Geostationary Satellite
por: Wei Yu, et al.
Publicado: (2021) -
Image Navigation for FY-4A Lightning Mapping Imager
por: Jing Wang, et al.
Publicado: (2021) -
Convective System Observations by LEO and GEO Satellites in Combination
por: Tran Vu La, et al.
Publicado: (2021) -
Fusing Geostationary Satellite Observations with Harmonized Landsat-8 and Sentinel-2 Time Series for Monitoring Field-Scale Land Surface Phenology
por: Yu Shen, et al.
Publicado: (2021) -
Evaluation and Improvement of FY-4A AGRI Quantitative Precipitation Estimation for Summer Precipitation over Complex Topography of Western China
por: Jing Ren, et al.
Publicado: (2021)