Name
Title | ||
|---|---|---|
Near-surface soil moisture content measurement by GNSS reflectometry: An estimation model using calibrated GNSS signals |
Abstract | ||
|---|---|---|
The microwave signal of GNSS L band is very sensitive to the electromagnetic property of soil surface, through measuring the reflected electromagnetic energy from soil, the relationship between power of GNSS reflected signals and soil dielectric constant can be built, and then soil moisture can be estimated. In order to improve estimation accuracy, both the direct and reflected GNSS signals need to be calibrated to eliminate the signal error. A soil moisture estimation model utilizing calibrated GNSS L band reflected signals is proposed in this paper, and the estimation accuracy is validated using SMEX02 data. The error of areas with different NDVI is calculated. The error of soil moisture estimation is 7.04% for bare soil condition of the verify areas. It is shown that this model is suitable for bare soil condition or areas with low vegetation coverage. For further research, in the case of soil with high vegetation coverage, the model should be modified through adding the vegetation effect into it. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/IGARSS.2012.6351891 | IGARSS |
Keywords | Field | DocType |
global positioning system,microwave reflectometry,remote sensing,soil moisture estimation model,calibration,bistatic radar,electromagnetic property,soil dielectric constant,calibrated gnss signals,smex02 data,gps data,vegetation coverage,electromagnetic energy reflection,microwave remote sensing,hydrological techniques,ndvi,soil surface,signal error elimination,gnss l band,soil moisture,microwave signal,geophysical signal processing,moisture measurement,vegetation effect,near-surface soil moisture content measurement,gnss reflectometry,estimation accuracy,soil,bare soil condition,gnss reflected signal,vegetation,estimation,reflectivity | Soil science,Vegetation,GNSS reflectometry,L band,Computer science,Remote sensing,Bistatic radar,Normalized Difference Vegetation Index,GNSS applications,Water content,Calibration | Conference |
Volume | Issue | ISSN |
null | null | 2153-6996 E-ISBN : 978-1-4673-1158-8 |
ISBN | Citations | PageRank |
978-1-4673-1158-8 | 0 | 0.34 |
References | Authors | |
4 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Wan | 1 | 0 | 0.34 |
| Xiuwan Chen | 2 | 33 | 18.04 |
| Limin Zhao | 3 | 1 | 2.12 |
| Jundong Zhang | 4 | 3 | 3.65 |
| Han Xiao | 5 | 0 | 0.34 |