Google Earth Engine ——MYD09Q1.006 Aqua 地表反射率 8-Day Global 250m提供了第1和第2波段的表面光谱反射率的估计，并对气体、气溶胶和瑞利散射等校正

The MYD09Q1 product provides an estimate of the surface spectral reflectance of bands 1 and 2 at 250m resolution and corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the two reflectance bands, a quality layer is also included. For each pixel, a value is selected from all the acquisitions within the 8-day composite on the basis of high observation coverage, low view angle, the absence of clouds or cloud shadow, and aerosol loading.

Documentation:

• User's Guide
• Algorithm Theoretical Basis Document (ATBD)
• General Documentation

MYD09Q1产品以250米的分辨率提供了第1和第2波段的表面光谱反射率的估计，并对气体、气溶胶和瑞利散射等大气条件进行了校正。与两个反射带一起，还包括一个质量层。对于每个像素，根据高观测覆盖率、低视角、无云或云影以及气溶胶负荷，从8天合成的所有采集中选择一个值。

Dataset Availability

2002-07-04T00:00:00 - 2021-09-06T00:00:00

Dataset Provider

NASA LP DAAC at the USGS EROS Center

Collection Snippet

ee.ImageCollection("MODIS/006/MYD09Q1")

使用说明：

Please visit LP DAAC 'Citing Our Data' page for information on citing LP DAAC datasets.

数据引用：

https://doi.org/10.5067/MODIS/MYD09Q1.006

Resolution

250 meters

Bands Table

• Bits 0-1: Cloud state
  • 0: Clear
  • 1: Cloudy
  • 2: Mixed
  • 3: Not set, assumed clear
• Bit 2: Cloud shadow
  • 0: No
  • 1: Yes
• Bits 3-5: Land/water flag
  • 0: Shallow ocean
  • 1: Land
  • 2: Ocean coastlines and lake shorelines
  • 3: Shallow inland water
  • 4: Ephemeral water
  • 5: Deep inland water
  • 6: Continental/moderate ocean
  • 7: Deep ocean
• Bits 6-7: Aerosol quantity
  • 0: Climatology
  • 1: Low
  • 2: Average
  • 3: High
• Bits 8-9: Cirrus detected
  • 0: None
  • 1: Small
  • 2: Average
  • 3: High
• Bit 10: Internal cloud algorithm flag
  • 0: No cloud
  • 1: Cloud
• Bit 11: Internal fire algorithm flag
  • 0: No fire
  • 1: Fire
• Bit 12: MOD35 snow/ice flag
  • 0: No
  • 1: Yes
• Bit 13: Pixel is adjacent to cloud
  • 0: No
  • 1: Yes
• Bit 14: BRDF correction performed data
  • 0: No
  • 1: Yes
• Bit 15: Internal snow mask
  • 0: No snow
  • 1: Snow

QASurface reflectance 250m band quality control flags0QA Bitmask

• Bits 0-1: MODLAND QA bits
  • 0: Corrected product produced at ideal quality - all bands
  • 1: Corrected product produced at less than ideal quality - some or all bands
  • 2: Corrected product not produced due to cloud effects - all bands
  • 3: Corrected product not produced for other reasons - some or all bands, may be fill value (11) [Note that a value of (11) overrides a value of (01)]
• Bits 2-3: Spare (unused)
  • 0: N/A
• Bits 4-7: Band 1 data quality
  • 0: Highest quality
  • 7: Noisy detector
  • 8: Dead detector, data interpolated in L1B
  • 9: Solar zenith ≥ 86 degrees
  • 10: Solar zenith ≥ 85 and < 86 degrees
  • 11: Missing input
  • 12: Internal constant used in place of climatological data for at least one atmospheric constant
  • 13: Correction out of bounds, pixel constrained to extreme allowable value
  • 14: L1B data faulty
  • 15: Not processed due to deep ocean or clouds
• Bits 8-11: Band 2 data quality
  • 0: Highest quality
  • 7: Noisy detector
  • 8: Dead detector, data interpolated in L1B
  • 9: Solar zenith ≥ 86 degrees
  • 10: Solar zenith ≥ 85 and < 86 degrees
  • 11: Missing input
  • 12: Internal constant used in place of climatological data for at least one atmospheric constant
  • 13: Correction out of bounds, pixel constrained to extreme allowable value
  • 14: L1B data faulty
  • 15: Not processed due to deep ocean or clouds
• Bit 12: Atmospheric correction performed
  • 0: No
  • 1: Yes
• Bit 13: Adjacency correction performed
  • 0: No
  • 1: Yes
• Bit 14: Different orbit from 500m
  • 0: No
  • 1: Yes
• Bit 15: Spare (unused)
  • 0: N/A

代码：

var dataset = ee.ImageCollection('MODIS/006/MYD09Q1')
                  .filter(ee.Filter.date('2018-01-01', '2018-05-01'));

var falseColorVis = {
  min: -100.0,
  max: 6000.0,
  bands: ['sur_refl_b02', 'sur_refl_b02', 'sur_refl_b01'],
};
Map.setCenter(6.746, 46.529, 2);
Map.addLayer(dataset, falseColorVis, 'False Color');