Development of an ATI-NDVI method for estimation of soil moisture from MODIS data
文献类型：期刊论文
| 作者 | Lu, Lei1; Luo, Ge-Ping2; Wang, Ji-Yan3
|
| 刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING
 |
| 出版日期 | 2014 |
| 卷号 | 35期号:10页码:3797-3815 |
| 关键词 | LAND-SURFACE TEMPERATURE THERMAL INERTIA WATER CONTENT GROUND MEASUREMENTS ERS SCATTEROMETER DATA ASSIMILATION VEGETATION INDEX TRIANGLE METHOD HEAT-FLUX VALIDATION |
| ISSN号 | 0143-1161 |
| 通讯作者 | Lu, Lei |
| 英文摘要 | Estimation of soil moisture is essential for research of climatology, hydrology, and ecology. The commonly used remotely sensed approach is LST-NDVI (land-surface temperature-normalized difference vegetation index). In this study, the apparent thermal inertia (ATI) is used instead of surface temperature to develop an ATI-NDVI space for estimation of soil moisture. Comparison with ground-based measurements shows a root mean square error (RMSE) of 0.0378 m(3) m(-3) between retrieved and measured soil moistures. Validation with time series in situ data indicates the RMSE as 0.0162, 0.0285, 0.0368, and 0.0093 m(3) m(-3) for forest, shrub, cropland, and grassland, respectively, which is comparable to or even better than the results of previous studies. The proposed method in this study is a remote-sensing approach without elaborate ancillary data except for the percentage of sand in the soil, and it is practical and convenient to be applied to regions with surfaces from bare soil to full vegetation and the entire range of surface moisture contents from wet to dry. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Remote Sensing ; Imaging Science & Photographic Technology |
| 研究领域[WOS] | Remote Sensing ; Imaging Science & Photographic Technology |
| 关键词[WOS] | LAND-SURFACE TEMPERATURE ; THERMAL INERTIA ; WATER CONTENT ; GROUND MEASUREMENTS ; ERS SCATTEROMETER ; DATA ASSIMILATION ; VEGETATION INDEX ; TRIANGLE METHOD ; HEAT-FLUX ; VALIDATION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000337621700005 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/9942]  |
| 专题 | 成都山地灾害与环境研究所_数字山地与遥感应用中心 |
| 作者单位 | 1.Lanzhou Univ, Coll Earth & Environm Sci, Dept Geog Sci, Lanzhou 730000, Peoples R China 2.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China 3.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lu, Lei,Luo, Ge-Ping,Wang, Ji-Yan. Development of an ATI-NDVI method for estimation of soil moisture from MODIS data[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2014,35(10):3797-3815. |
| APA | Lu, Lei,Luo, Ge-Ping,&Wang, Ji-Yan.(2014).Development of an ATI-NDVI method for estimation of soil moisture from MODIS data.INTERNATIONAL JOURNAL OF REMOTE SENSING,35(10),3797-3815. |
| MLA | Lu, Lei,et al."Development of an ATI-NDVI method for estimation of soil moisture from MODIS data".INTERNATIONAL JOURNAL OF REMOTE SENSING 35.10(2014):3797-3815. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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。