| contributor author | Sun F. Shih | |
| date accessioned | 2017-05-08T20:47:15Z | |
| date available | 2017-05-08T20:47:15Z | |
| date copyright | May 1990 | |
| date issued | 1990 | |
| identifier other | %28asce%290733-9437%281990%29116%3A3%28319%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/27148 | |
| description abstract | Rainfall data constitute an important parameter for studying water resources‐related problems. Currently, little is known about the accuracy of the estimation of rainfall in a given area, primarily because of the wide variability of rainfall distribution in space and time and the lack of information concerning the optimization of the traditional raingage network design. Remote sensing techniques could provide a more rapid and comprehensive overview of the rainfall distribution in a given area. Thus, the half‐hourly visible and thermal infrared data from the Geostationary Operational Environmental Satellite (GOES), in conjunction with the Scofield‐Oliver method and a geographic information system (GIS), were used to monitor rainfall in Florida. Eleven convective clouds that covered 26 raingage stations were analyzed. The cell size with raster format used in the GIS was | |
| publisher | American Society of Civil Engineers | |
| title | Satellite Data and Geographic Information System for Rainfall Estimation | |
| type | Journal Paper | |
| journal volume | 116 | |
| journal issue | 3 | |
| journal title | Journal of Irrigation and Drainage Engineering | |
| identifier doi | 10.1061/(ASCE)0733-9437(1990)116:3(319) | |
| tree | Journal of Irrigation and Drainage Engineering:;1990:;Volume ( 116 ):;issue: 003 | |
| contenttype | Fulltext | |
