Name
Title | ||
|---|---|---|
Block Kriging With Measurement Errors: A Case Study of the Spatial Prediction of Soil Moisture in the Middle Reaches of Heihe River Basin. |
Abstract | ||
|---|---|---|
Block kriging (BK) is a common method of predicting the true value at the pixel scale when validating remote sensing retrieval products. However, measurement errors (MEs) increase the prediction uncertainty. In this letter, an extended interpolation technique - BK with MEs (BKMEs) - is developed. The properties of BKME are proven through derivation and demonstrated in a case study of soil moisture... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/LGRS.2016.2628767 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Remote sensing,Uncertainty,Measurement errors,Soil moisture,Correlation,Estimation,Instruments | Kriging,Spatial prediction,Drainage basin,Homogeneous,Remote sensing,Interpolation,Pixel,Water content,Statistics,Mathematics,Observational error | Journal |
Volume | Issue | ISSN |
14 | 1 | 1545-598X |
Citations | PageRank | References |
1 | 0.35 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jian Kang | 1 | 73 | 8.32 |
| Rui Jin | 2 | 90 | 16.41 |
| Xin Li | 3 | 4 | 3.47 |
| Yang Zhang | 4 | 9 | 1.54 |