Name
Title | ||
|---|---|---|
Monitoring mangrove forest change in China from 1990 to 2015 using Landsat-derived spectral-temporal variability metrics. |
Abstract | ||
|---|---|---|
•We used all available Landsat imagery to monitor mangrove forest change in China.•We classified mangrove forest by employing Landsat-derived spectral-temporal variability metrics.•The accuracy of classification is high (>90%).•We finished mangrove forest maps of China for six epochs.•We found that the total area of mangrove forest in China has increased by a factor of 2 from 1990 to 2015. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.jag.2018.04.001 | International Journal of Applied Earth Observation and Geoinformation |
Keywords | Field | DocType |
Mangrove forest classification,Mangrove forest change,Landsat time series,Spectral-temporal variability metrics,China | Vegetation,Hydrology,Mangrove,China,Forestry,Land cover,Geography | Journal |
Volume | ISSN | Citations |
73 | 0303-2434 | 2 |
PageRank | References | Authors |
0.44 | 2 | 3 |