Name
Abstract | ||
|---|---|---|
Despite providing vital ecosystem services, wetlands are increasingly threatened across the globe by both anthropogenic activities and natural processes. Synthetic aperture radar (SAR) has emerged as a promising tool for rapid and accurate monitoring of wetland extent and type. By acquiring information on the roughness and moisture content of the surface, SAR offers unique potential for wetland monitoring. However, there are still challenges in applying SAR for mapping complex wetland environments. The backscattering similarity of different wetland classes is one of the challenges. Choosing the appropriate SAR specifications (incidence angle, frequency and polarization), based on the wetland type, is also a subject of debate and should be investigated more thoroughly. The geometric distortion of SAR imagery and loss of coherency are other remaining challenges in applying SAR and its processing techniques for wetland studies. Hence, this study provides a systematic meta-analysis based on compilation and analysis of indexed research studies that used SAR for wetland monitoring. This meta-analysis reviewed 172 papers and documented an upward trend in usage of SAR data, increasing usage of multi-sensor data, increasing integration of C- and L- bands over other configurations and higher classification accuracy with multi-frequency and multi-polarized SAR data. The highest number of wetland research studies using SAR data came from the USA, Canada and China. This meta-analysis highlighted the current challenges and solutions for wetland monitoring using SAR sensors. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.3390/rs12142190 | REMOTE SENSING |
Keywords | DocType | Volume |
wetland monitoring,synthetic aperture radar,PolSAR,classification,change detection,meta-analysis,systematic review | Journal | 12 |
Issue | Citations | PageRank |
14 | 1 | 0.35 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sarina Adeli | 1 | 1 | 0.35 |
| Bahram Salehi | 2 | 51 | 10.59 |
| Masoud MahdianPari | 3 | 20 | 5.80 |
| Lindi J. Quackenbush | 4 | 1 | 0.35 |
| B. Brisco | 5 | 70 | 19.55 |
| Haifa Tamiminia | 6 | 1 | 0.35 |
| Stephen Shaw | 7 | 1 | 0.35 |