Ground sampling methods for surface soil moisture in heterogeneous pixels
文献类型：期刊论文
| 作者 | Wang, Chunmei1; Meng, Qingyan1; Zhan, Yulin1; Peng, Jing1; Wei, Xiangqin1; Yang, Jian1; Li, Juan1 |
| 刊名 | ENVIRONMENTAL EARTH SCIENCES
 |
| 出版日期 | 2015 |
| 卷号 | 73期号:10页码:1423-1431 |
| 关键词 | Soil moisture Ground sampling Remote sensing Heterogeneous Prior knowledge |
| 通讯作者 | Wang, CM (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China. |
| 英文摘要 | Reasonable ground sampling methods for the development of soil moisture remote sensing retrieval algorithm models and product validation are very important. Soil moisture has obvious variability at different spatial and temporal scales, especially for surface soil moisture. It makes the surface soil moisture sampling at medium or coarse resolution even more challenging. The study reviewed the current common sampling methods and further described the calculation process and limitation in application. Field experiments were carried out in the sampling domain of 165 x 165 m(2) to compare different sampling methods. The results indicated that the corresponding values of necessary sampling size under a standard error of 0.0076 cm(3) cm(-3) (equivalent to relative error = 5 % and confidence level = 95 %) were about 55, 52, 37, 35 and 26 for the conventional statistical sampling, bootstrap sampling, random combination sampling, geo-statistical sampling and stratified sampling, respectively. However, they all required data collection of soil moisture observation in advance to generating an optimal sampling strategy. Even the temporal stability sampling method also needed more numbers of long-term observational data to obtain less representative stable points. When the area of sampling pixels increases in practice, especially when the sub-pixel variation is larger, it is particularly difficult to conduct pre-sampling or real-time sampling at a medium or coarse spatial resolution because of the limited manpower. Therefore, the soil moisture stratified sampling based on vegetation temperature condition index prior knowledge was put forward and applied in the regional scale. With the rapid development of global change research, many kinds of data can become the prior knowledge, including land use data, soil texture data, DEM meteorological data, etc. |
| 研究领域[WOS] | Environmental Sciences ; Geosciences, Multidisciplinary ; Water Resources |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000353801300047 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38217]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Wang, Chunmei 2.Meng, Qingyan 3.Zhan, Yulin 4.Wei, Xiangqin 5.Yang, Jian 6.Li, Juan] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China 7.[Peng, Jing] Chinese Acad Sci, Inst Atmospher Phys, Beijing 100029, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Chunmei,Meng, Qingyan,Zhan, Yulin,et al. Ground sampling methods for surface soil moisture in heterogeneous pixels[J]. ENVIRONMENTAL EARTH SCIENCES,2015,73(10):1423-1431. |
| APA | Wang, Chunmei.,Meng, Qingyan.,Zhan, Yulin.,Peng, Jing.,Wei, Xiangqin.,...&Li, Juan.(2015).Ground sampling methods for surface soil moisture in heterogeneous pixels.ENVIRONMENTAL EARTH SCIENCES,73(10),1423-1431. |
| MLA | Wang, Chunmei,et al."Ground sampling methods for surface soil moisture in heterogeneous pixels".ENVIRONMENTAL EARTH SCIENCES 73.10(2015):1423-1431. |
入库方式： OAI收割
来源：遥感与数字地球研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。