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Accuracy evaluation of the CCI remote sensing soil moisture for revealing drought in Northeast China
| Content Provider | Scilit |
|---|---|
| Author | Yao, X. L. Sun, S. Y. Li, X. J. Liu, R. |
| Copyright Year | 2018 |
| Description | Journal: Iop Conference Series: Earth and Environmental Science The validation research is the basis of application of remote sensing data. This study using soil surface measured data for 10 cm in Northeast China in 1992-2013 to verify the European space agency soil moisture data set (ESA CCI SM). In this study, two methods evaluating CCI data for revealing drought was used: common Pearson coefficient method and drought judgement method for coincidence degree of drought. This verification study is located in the main grain producing areas of Northeast China, which is dominated by rain-fed agriculture. After the result analysis, CCI remote sensing soil moisture is feasible for assessment research on agricultural drought. Through the evaluation of this study, this remote sensing soil water can be used as an effective indicator of agricultural drought in the main grain-producing region of Northeast China. |
| Related Links | http://iopscience.iop.org/article/10.1088/1755-1315/185/1/012040/pdf |
| ISSN | 17551307 |
| e-ISSN | 17551315 |
| DOI | 10.1088/1755-1315/185/1/012040 |
| Journal | Iop Conference Series: Earth and Environmental Science |
| Issue Number | 1 |
| Volume Number | 185 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2018-08-30 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Earth and Environmental Science Remote Sensing Cci Remote Sensing Soil Moisture |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth and Planetary Sciences Physics and Astronomy Environmental Science |
