基于Google Earth Engine与多源遥感数据的海南水稻分类研究
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谭深, 吴炳方, 张鑫
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Mapping Paddy Rice in the Hainan Province Using both Google Earth Engine and Remote Sensing Images
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Shen TAN, Bingfang WU, Xin ZHANG
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| 表1 分类所需遥感影像波段参数 |
| Tab. 1 Band informationof images employed in the research |
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| 传感器 | 波段 | 波长/nm | 分辨率/m | 数据量/景 | | Sentinel-2 MSI | B2 | Blue | 490 | 10 | 340 | | B3 | Green | 560 | 10 | | B4 | Red | 665 | 10 | | B8 | Near-infrared | 842 | 10 | | B11 | Short-wave infrared 1 | 1610 | 20 | | B12 | Short-wave infrared 2 | 2190 | 20 | | Landsat-8 OLI | B2 | Blue | 450~510 | 30 | 106 | | B3 | Green | 530~590 | 30 | | B4 | Red | 640~670 | 30 | | B5 | Near-infrared | 850~880 | 30 | | B6 | Short-wave infrared 1 | 1570~1650 | 30 | | B7 | Short-wave infrared 2 | 2110~2290 | 30 | | Sentinel-1 | VV | Dual-band crosspolarization, vertical transmission/horizontal receiver | | 10 | 月合成 | | VH | | 10 |
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