| 作者： | Huan Li, Changkuan Zhang, Ying Zhang, Dong Zhang, Jay Gao, Zheng Gong |
| 作者单位： |
1Hohai University 2Nanjing Normal University 3University of Auckland |
| 刊名： | Journal of Applied Remote Sensing, 2013, Vol.7 (1), pp.073539-073539 |
| 来源数据库： | SPIE-the International Society for Optical Engineering |
| DOI： | 10.1117/1.JRS.7.073539 |
| 关键词： | moisture prediction; spectral unmixing; water abundance; |
| 原始语种摘要： | Remote sensing has been widely applied for soil moisture estimation. However, such estimates become difficult to obtain and can be inaccurate when applied to complex earth surfaces with more than one soil type because of the interference of spectral signals from different soil components. This study aims to develop a moisture prediction method that is insensitive to soil types; this is based on in situ samples collected from an intertidal zone in Jiangsu Province in China and on laboratory measurements of soil spectra. The results demonstrate that for a reflectance-based method, moisture content is closely related to reflectance on the three wavebands centered at 2143, 1760, and 742 nm for four types of soil (sand, silty sand, sandy silt, and silt) considered separately; the relationship... |