Name
Title | ||
|---|---|---|
Mapping Freshwater Chlorophyll-a Concentrations at a Regional Scale Integrating Multi-Sensor Satellite Observations with Google Earth Engine. |
Abstract | ||
|---|---|---|
Monitoring harmful algal blooms (HABs) in freshwater over regional scales has been implemented through mapping chlorophyll-a (Chl-a) concentrations using multi-sensor satellite remote sensing data. Cloud-free satellite measurements and a sufficient number of matched-up ground samples are critical for constructing a predictive model for Chl-a concentration. This paper presents a methodological framework for automatically pairing surface reflectance values from multi-sensor satellite observations with ground water quality samples in time and space to form match-up points, using the Google Earth Engine cloud computing platform. A support vector machine model was then trained using the match-up points, and the prediction accuracy of the model was evaluated and compared with traditional image processing results. This research demonstrates that the integration of multi-sensor satellite observations through Google Earth Engine enables accurate and fast Chl-a prediction at a large regional scale over multiple years. The challenges and limitations of using and calibrating multi-sensor satellite image data and current and potential solutions are discussed. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.3390/rs12203278 | REMOTE SENSING |
Keywords | DocType | Volume |
Google Earth Engine,water quality,freshwater Chl-a,multi-sensor integration | Journal | 12 |
Issue | Citations | PageRank |
20 | 0 | 0.34 |
References | Authors | |
0 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lei Wang | 1 | 23 | 9.51 |
| Min Xu | 2 | 1 | 2.37 |
| Liu Yang | 3 | 200 | 33.54 |
| Hongxing Liu | 4 | 94 | 12.14 |
| Richard A. Beck | 5 | 18 | 5.28 |
| Molly Reif | 6 | 0 | 0.34 |
| Erich Emery | 7 | 1 | 1.36 |
| Jade Young | 8 | 0 | 0.34 |
| Qiusheng Wu | 9 | 92 | 12.11 |