Google Earth Engine ——LANDSAT/LC08/C01/T1_ANNUAL_NDVI数据集

This dataset is the atmospherically corrected surface reflectance from the Landsat 8 OLI/TIRS sensors. These images contain 5 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and two thermal infrared (TIR) bands processed to orthorectified brightness temperature

These data have been atmospherically corrected using LaSRC and includes a cloud, shadow, water and snow mask produced using CFMASK, as well as a per-pixel saturation mask.

Strips of collected data are packaged into overlapping "scenes" covering approximately 170km x 183km using a standardized reference grid.

See also the USGS page on SR QA bands.

SR can only be produced for Landsat assets processed to the L1TP level

Data provider notes:

• Although Surface Reflectance can be processed only from the Operational Land Imager (OLI) bands, SR requires combined OLI/Thermal Infrared Sensor (TIRS) product (LC8) input in order to generate the accompanying cloud mask. Therefore, OLI only (LO8), and TIRS only (LT8) data products cannot be calculated to SR.
• SR is not run for a scene with a solar zenith angle greater than 76°.
• Users are cautioned to avoid using SR for data acquired over high latitudes (> 65°).
• The panchromatic band (ETM+ Band 7, OLI Band 8) is not processed to Surface Reflectance.
• Efficacy of SR correction will be likely reduced in areas where atmospheric correction is affected by adverse conditions:
  • Hyper-arid or snow-covered regions
  • Low sun angle conditions
  • Coastal regions where land area is small relative to adjacent water
  • Areas with extensive cloud contamination

This product is generated by Google using a Docker image supplied by USGS.

183公里，使用标准化的参考网格。

另请参见USGS关于SR QA波段的网页。

SR只能为处理到L1TP级别的Landsat资产制作。

数据提供者说明。

虽然表面反射率只能从陆地成像仪(OLI)波段中处理，但SR需要OLI/热红外传感器(TIRS)产品(LC8)的综合输入，以生成相应的云层掩码。因此，只有OLI（LO8）和只有TIRS（LT8）的数据产品不能计算到SR。
对于太阳天顶角大于76°的场景，SR不会被运行。
提醒用户避免对在高纬度地区（>65°）获取的数据使用SR。
全色波段（ETM+波段7，OLI波段8）不处理表面反射率。
在大气校正受到不利条件影响的地区，SR校正的效果将可能降低。
超干旱或被雪覆盖的地区
低太阳角条件
陆地面积相对于邻近水域较小的沿海地区
有大量云层污染的地区
本产品由谷歌使用USGS提供的Docker图像生成。

Dataset Availability

2013-04-11T00:00:00 - 2021-08-29T00:00:00

Dataset Provider

USGS

Collection Snippet

Copied

ee.ImageCollection("LANDSAT/LC08/C01/T1_SR")

Resolution

30 meters

Bands Table

Name	Description	Units	Wavelength	Scale
B1	Band 1 (ultra blue) surface reflectance		0.435-0.451 μm	0.0001
B2	Band 2 (blue) surface reflectance		0.452-0.512 μm	0.0001
B3	Band 3 (green) surface reflectance		0.533-0.590 μm	0.0001
B4	Band 4 (red) surface reflectance		0.636-0.673 μm	0.0001
B5	Band 5 (near infrared) surface reflectance		0.851-0.879 μm	0.0001
B6	Band 6 (shortwave infrared 1) surface reflectance		1.566-1.651 μm	0.0001
B7	Band 7 (shortwave infrared 2) surface reflectance		2.107-2.294 μm	0.0001
B10	Band 10 brightness temperature. This band, while originally collected with a resolution of 100m / pixel, has been resampled using cubic convolution to 30m.	Kelvin	10.60-11.19 μm	0.1
B11	Band 11 brightness temperature. This band, while originally collected with a resolution of 100m / pixel, has been resampled using cubic convolution to 30m.	Kelvin	11.50-12.51 μm	0.1
sr_aerosol	Aerosol attributes			0
sr_aerosol Bitmask	Bit 0: Fill Bit 1: Aerosol retrieval - valid Bit 2: Aerosol retrieval - interpolated Bit 3: Water pixel Bit 4: Water aerosol retrieval failed - needs interpolated Bit 5: Neighbor of failed aerosol retrieval Bits 6-7: Aerosol content 0: Climatology 1: Low 2: Medium 3: High
pixel_qa	Pixel quality attributes generated from the CFMASK algorithm.			0
pixel_qa Bitmask	Bit 0: Fill Bit 1: Clear Bit 2: Water Bit 3: Cloud Shadow Bit 4: Snow Bit 5: Cloud Bits 6-7: Cloud Confidence 0: None 1: Low 2: Medium 3: High Bits 8-9: Cirrus Confidence 0: None 1: Low 2: Medium 3: High Bit 10: Terrain Occlusion
radsat_qa	Radiometric saturation QA			0
radsat_qa Bitmask	Bit 0: Data Fill Flag 0: Valid data 1: Invalid data Bit 1: Band 1 data saturated Bit 2: Band 2 data saturated Bit 3: Band 3 data saturated Bit 4: Band 4 data saturated Bit 5: Band 5 data saturated Bit 6: Band 6 data saturated Bit 7: Band 7 data saturated Bit 8: Unused Bit 9: Band 9 data saturated Bit 10: Band 10 data saturated Bit 11: Band 11 data saturated

影像属性：

Name	Type	Description
CLOUD_COVER	Int	Percentage cloud cover, -1 = not calculated. (Obtained from raw Landsat metadata)
CLOUD_COVER_LAND	Int	Percentage cloud cover over land, -1 = not calculated. (Obtained from raw Landsat metadata)
EARTH_SUN_DISTANCE	Double	Earth-Sun distance (AU)
ESPA_VERSION	String	Internal ESPA image version used to compute SR
GEOMETRIC_RMSE_MODEL	Double	Combined RMSE (Root Mean Square Error) of the geometric residuals (meters) in both across-track and along-track directions. (Obtained from raw Landsat metadata)
GEOMETRIC_RMSE_MODEL_X	Double	RMSE (Root Mean Square Error) of the geometric residuals (meters) measured on the GCPs (Ground Control Points) used in geometric precision correction in the across-track direction. (Obtained from raw Landsat metadata)
GEOMETRIC_RMSE_MODEL_Y	Double	RMSE (Root Mean Square Error) of the geometric residuals (meters) measured on the GCPs (Ground Control Points) used in geometric precision correction in the along-track direction. (Obtained from raw Landsat metadata)
IMAGE_QUALITY	Int	Image quality, 0 = worst, 9 = best, -1 = quality not calculated. (Obtained from raw Landsat metadata)
LANDSAT_ID	String	Landsat Product Identifier (Collection 1)
LEVEL1_PRODUCTION_DATE	Int	Date of production for raw Level 1 data as ms since epoch
PIXEL_QA_VERSION	String	Version of the software used to produce the 'pixel_qa' band
SATELLITE	String	Name of satellite
SENSING_TIME	String	Time of the observations as in ISO 8601 string. (Obtained from raw Landsat metadata)
SOLAR_AZIMUTH_ANGLE	Double	Solar azimuth angle
SR_APP_VERSION	String	LaSRC version used to process surface reflectance
WRS_PATH	Int	WRS path number of scene
WRS_ROW	Int	WRS row number of scene

影像使用：

Landsat datasets are federally created data and therefore reside in the public domain and may be used, transferred, or reproduced without copyright restriction.

Acknowledgement or credit of the USGS as data source should be provided by including a line of text citation such as the example shown below.

(Product, Image, Photograph, or Dataset Name) courtesy of the U.S. Geological Survey

Example: Landsat-7 image courtesy of the U.S. Geological Survey

See the USGS Visual Identity System Guidance for further details on proper citation and acknowledgement of USGS products.

代码：

var dataset = ee.ImageCollection('LANDSAT/LC08/C01/T1_ANNUAL_NDVI')
                  .filterDate('2017-01-01', '2017-12-31');
var colorized = dataset.select('NDVI');
var colorizedVis = {
  min: 0.0,
  max: 1.0,
  palette: [
    'FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901',
    '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01',
    '012E01', '011D01', '011301'
  ],
};
Map.setCenter(6.746, 46.529, 6);
Map.addLayer(colorized, colorizedVis, 'Colorized');