首页 | 本学科首页   官方微博 | 高级检索  
     


Snow-melt run-off studies using remote sensing data
Authors:A. S. Ramamoorthi
Affiliation:(1) Hydrology Division, National Remote Sensing Agency, Balanagar, 500 037 Hyderabad, India
Abstract:
Snow-covered area (SCA) is a critical input in snow-melt run-off studies. It is difficult to get timely information about SCA, especially of mountain watersheds, by conventional survey methods, including aerial surveys. With the advent of satellite remote sensing, it has now become possible to obtain reliable and regular SCA data. This has led to the development of snow-melt run-off simulation and forecasting models using SCA derived from LANDSAT and NOAA data; the models in use in USA and India are described.
Keywords:Snow-melt  run-off  forecasting  simulation  operational models  satellite remote  sensing
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号