| contributor author | Deleen Al-Shrafany | |
| contributor author | Miguel Angel Rico-Ramirez | |
| contributor author | Dawei Han | |
| date accessioned | 2017-05-08T21:49:14Z | |
| date available | 2017-05-08T21:49:14Z | |
| date copyright | June 2012 | |
| date issued | 2012 | |
| identifier other | %28asce%29he%2E1943-5584%2E0000528.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/63393 | |
| description abstract | Soil moisture is an important component in hydrologic and meteorologic processes. Remote sensing devices, such as satellite radiometers, are useful tools to obtain soil moisture information over a large region. However, effective “ground truth” calibration data for satellite sensors are lacking. This paper presents a new approach on the basis of rainfall and river runoff hydrologic data to estimate satellite-based soil moisture. The catchment water storage change from the rainfall and river runoff has a strong link with the soil moisture information and the parameterization of the surface roughness parameters | |
| publisher | American Society of Civil Engineers | |
| title | Calibration of Roughness Parameters Using Rainfall–Runoff Water Balance for Satellite Soil Moisture Retrieval | |
| type | Journal Paper | |
| journal volume | 17 | |
| journal issue | 6 | |
| journal title | Journal of Hydrologic Engineering | |
| identifier doi | 10.1061/(ASCE)HE.1943-5584.0000508 | |
| tree | Journal of Hydrologic Engineering:;2012:;Volume ( 017 ):;issue: 006 | |
| contenttype | Fulltext | |