Classification of snow cover and precipitation using SSM/I measurements: case studies
作者:
J. V. FIORE,
N. C. GRODY,
期刊:
International Journal of Remote Sensing
(Taylor Available online 1992)
卷期:
Volume 13,
issue 17
页码: 3349-3361
ISSN:0143-1161
年代: 1992
DOI:10.1080/01431169208904123
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A satellite-based method for global classification of precipitation and snow cover in the microwave portion of the electromagnetic spectrum has been developed using three channels of data from the Special Sensor Microwave/ Imager (SSM/I). A decision tree algorithm is developed for the global classification of snow cover and precipitation over large geographical regions. Potential problem areas like desert regions are also identified in the decision-tree process. Oier 40 case studies of SSM/I data over small geographical regions (i.e., the Gulf Coast of the United States, African desert, etc.) were analysed to develop and test these algorithms. Case studies involving Manually Digitized Radar (MDR)data, NOAA weekly snow cover charts and surface weather charts were used to validate the algorithm.
点击下载:
PDF (304KB)
返 回