| contributor author | Dingzhi Peng | |
| contributor author | Shenglian Guo | |
| contributor author | Pan Liu | |
| contributor author | Ting Liu | |
| date accessioned | 2017-05-08T21:23:56Z | |
| date available | 2017-05-08T21:23:56Z | |
| date copyright | March 2006 | |
| date issued | 2006 | |
| identifier other | %28asce%291084-0699%282006%2911%3A2%28165%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/49926 | |
| description abstract | A reservoir is one of the most efficient measures for integrated water resources development and management. The reservoir storage curve is a vital parameter for multipurpose reservoir operation and its precision is a key issue for water balance and strategic risk management. Compared with the traditional approach, the method based on remote sensing (RS) data provides better information, which can be helpful in reservoir operation and management. Fengman Reservoir was chosen as a case study to obtain the new storage curve that is based on | |
| publisher | American Society of Civil Engineers | |
| title | Reservoir Storage Curve Estimation Based on Remote Sensing Data | |
| type | Journal Paper | |
| journal volume | 11 | |
| journal issue | 2 | |
| journal title | Journal of Hydrologic Engineering | |
| identifier doi | 10.1061/(ASCE)1084-0699(2006)11:2(165) | |
| tree | Journal of Hydrologic Engineering:;2006:;Volume ( 011 ):;issue: 002 | |
| contenttype | Fulltext | |
