Name
Title | ||
|---|---|---|
Improving Soil Moisture Estimation By Identification Of Ndvi Thresholds Optimization: An Application To The Chinese Loess Plateau |
Abstract | ||
|---|---|---|
Accuracy soil moisture estimation at a relevant spatiotemporal scale is scarce but beneficial for understanding ecohydrological processes and improving weather forecasting and climate models, particularly in arid and semi-arid regions like the Chinese Loess Plateau (CLP). This study proposed Criterion 2, a new method to improve relative soil moisture (RSM) estimation by identification of normalized difference vegetation index (NDVI) thresholds optimization based on our previously proposed iteration procedure of Criterion 1. Apparent thermal inertia (ATI) and temperature vegetation dryness index (TVDI) were applied to subregional RSM retrieval for the CLP throughout 2017. Three optimal NDVI thresholds (NDVI0 was used for computing TVDI, and both NDVIATI and NDVITVDI for dividing the entire CLP) were firstly identified with the best validation results (R over bar ) of subregions for 8-day periods. Then, we compared the selected optimal NDVI thresholds and estimated RSM with each criterion. Results show that NDVI thresholds were optimized to robust RSM estimation with Criterion 2, which characterized RSM variability better. The estimated RSM with Criterion 2 showed increased accuracy (maximum R over bar of 0.82 +/- 0.007 for Criterion 2 and of 0.75 +/- 0.008 for Criterion 1) and spatiotemporal coverage (45 and 38 periods (8-day) of RSM maps and the total RSM area of 939.52 x 10(4) km(2) and 667.44 x 10(4) km(2) with Criterion 2 and Criterion 1, respectively) than with Criterion 1. Moreover, the additional NDVI thresholds we applied was another strategy to acquire wider coverage of RSM estimation. The improved RSM estimation with Criterion 2 could provide a basis for forecasting drought and precision irrigation management. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.3390/rs13040589 | REMOTE SENSING |
Keywords | DocType | Volume |
MODIS, relative soil moisture, Chinese Loess Plateau, ATI, TVDI | Journal | 13 |
Issue | Citations | PageRank |
4 | 0 | 0.34 |
References | Authors | |
0 | 10 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lina Yuan | 1 | 0 | 1.01 |
| Li Long | 2 | 7 | 5.30 |
| Ting Zhang | 3 | 0 | 1.01 |
| Longqian Chen | 4 | 0 | 0.34 |
| Jianlin Zhao | 5 | 0 | 0.34 |
| Weiqiang Liu | 6 | 17 | 8.24 |
| Liang Cheng | 7 | 0 | 0.34 |
| Sai Hu | 8 | 0 | 1.01 |
| Longhua Yang | 9 | 0 | 0.68 |
| Mingxin Wen | 10 | 0 | 0.34 |