Google Earth Engine ——Landsat 2 MSS Collection 1 Tier 1/T2 DN values经过缩放、校准的传感器辐射度数据集

2024-02-02 09:41:25 浏览数 (2)

Landsat 2 MSS Collection 1 Tier 1 DN values, representing scaled, calibrated at-sensor radiance.

Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series processing analysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data that have well-characterized radiometry and are inter-calibrated across the different Landsat sensors. The georegistration of Tier 1 scenes will be consistent and within prescribed tolerances [<=12 m root mean square error (RMSE)]. All Tier 1 Landsat data can be considered consistent and inter-calibrated (regardless of sensor) across the full collection. See more information in the USGS docs.

For more information, see Landsat MSS Product Information Page

Landsat 2 MSS Collection 1 Tier 1 DN值,代表经过缩放、校准的传感器辐射度。

具有最高可用数据质量的陆地卫星场景被归入第1级,并被认为适合进行时间序列处理分析。第一级包括一级精确地形(L1TP)处理的数据,这些数据具有良好的辐射测量特性,并在不同的Landsat传感器之间进行了相互校准。第1级场景的地理注册将是一致的,并在规定的公差范围内[<=12米均方根误差(RMSE)]。所有第1级Landsat数据都可以被认为是一致的,并且在整个集合中进行了相互校准(不管是哪个传感器)。参见USGS文档中的更多信息。

Scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. This includes Systematic terrain (L1GT) and Systematic (L1GS) processed scenes, as well as any L1TP scenes that do not meet the Tier 1 specifications due to significant cloud cover, insufficient ground control, and other factors. Users interested in Tier 2 scenes can analyze the RMSE and other properties to determine the suitability for use in individual applications and studies. See more information in the USGS docs.更多信息,见Landsat MSS产品信息页

在处理过程中不符合第1级标准的场景被分配到第2级。这包括系统地形(L1GT)和系统(L1GS)处理过的场景,以及任何由于大量云层覆盖、地面控制不足和其他因素而不符合第1级规格的L1TP场景。对第2级场景感兴趣的用户可以分析RMSE和其他属性,以确定是否适合用于个人应用和研究。更多信息见美国地质调查局的文件。

Dataset Availability

1975-01-22T00:00:00 - 1982-02-26T00:00:00

Dataset Provider

USGS

Collection Snippet

ee.ImageCollection("LANDSAT/LM02/C01/T1")

Bands Table

Name

Description

Resolution

Wavelength

B4

Green

60 meters

0.5 - 0.6 µm

B5

Red

60 meters

0.6 - 0.7 µm

B6

Near Infrared 1

60 meters

0.7 - 0.8 µm

B7

Near Infrared 2

30 meters

0.8 - 1.1 µm

BQA

Landsat Collection 1 QA Bitmask ([See Landsat QA page](https://www.usgs.gov/land-resources/nli/landsat/landsat-collection-1-level-1-quality-assessment-band))

60 meters

BQA Bitmask

Bit 0: Designated Fill 0: No1: YesBit 1: Dropped Pixel 0: No1: YesBits 2-3: Radiometric Saturation 0: No bands contain saturation1: 1-2 bands contain saturation2: 3-4 bands contain saturation3: 5 or more bands contain saturationBit 4: Cloud 0: No1: Yes

  • Bit 0: Designated Fill
    • 0: No
    • 1: Yes
  • Bit 1: Dropped Pixel
    • 0: No
    • 1: Yes
  • Bits 2-3: Radiometric Saturation
    • 0: No bands contain saturation
    • 1: 1-2 bands contain saturation
    • 2: 3-4 bands contain saturation
    • 3: 5 or more bands contain saturation
  • Bit 4: Cloud
    • 0: No
    • 1: Yes

Name

Type

Description

CLOUD_COVER

Double

Percentage cloud cover (0-100), -1 = not calculated.

CLOUD_COVER_LAND

Double

Percentage cloud cover over land (0-100), -1 = not calculated.

COLLECTION_CATEGORY

String

Tier of scene. (T1 or T2)

COLLECTION_NUMBER

Double

Number of collection.

CORRECTION_GAIN_BAND_4

String

Internal calibration gain method for band 4.

CORRECTION_GAIN_BAND_5

String

Internal calibration gain method for band 5.

CORRECTION_GAIN_BAND_6

String

Internal calibration gain method for band 6.

CORRECTION_GAIN_BAND_7

String

Internal calibration gain method for band 7.

CPF_NAME

String

Calibration parameter file name.

DATA_CATEGORY

String

Current data category assigned to the data. Possible values: ("NOMINAL", "VALIDATION", "EXCHANGE", "TEST", "ENGINEERING")

DATA_TYPE

String

Data type identifier. (L1T or L1G)

DATA_TYPE_L0RP

String

Data type identifier string used to create the L0RP product.

DATE_ACQUIRED

String

Image acquisition date. "YYYY-MM-DD"

DATUM

String

Datum used in image creation.

EARTH_SUN_DISTANCE

Double

Earth sun distance in astronomical units (AU).

ELEVATION_SOURCE

String

Elevation model source used for standard terrain corrected (L1T) products.

ELLIPSOID

String

Ellipsoid used in image creation.

EPHEMERIS_TYPE

String

Ephemeris data type used to perform geometric correction. (Definitive or Predictive)

FILE_DATE

Double

File date in milliseconds since epoch.

GAIN_BAND_4

String

Gain state for Band 1. (L = Low gain, H = High)

GAIN_BAND_5

String

Gain state for Band 2. (L = Low gain, H = High)

GAIN_BAND_6

String

Gain state for Band 3. (L = Low gain, H = High)

GAIN_BAND_7

String

Gain state for Band 4. (L = Low gain, H = High)

GEOMETRIC_RMSE_MODEL

Double

Combined Root Mean Square Error (RMSE) of the geometric residuals (metres) in both across-track and along-track directions measured on the GCPs used in geometric precision correction. Not present in L1G products.

GEOMETRIC_RMSE_MODEL_X

Double

RMSE of the X direction geometric residuals (in metres) measured on the GCPs used in geometric precision correction. Not present in L1G products.

GEOMETRIC_RMSE_MODEL_Y

Double

RMSE of the Y direction geometric residuals (in metres) measured on the GCPs used in geometric precision correction. Not present in L1G products.

GEOMETRIC_RMSE_VERIFY

Double

RMSE of the geometric residuals (pixels) in both line and sample directions measured on the terrain-corrected product independently using GLS2000.

GEOMETRIC_RMSE_VERIFY_QUAD_LL

Double

RMSE of the geometric residuals (pixels) of the lower-left quadrant measured on the terrain-corrected product independently using GLS2000.

GEOMETRIC_RMSE_VERIFY_QUAD_LR

Double

RMSE of the geometric residuals (pixels) of the lower-right quadrant measured on the terrain-corrected product independently using GLS2000.

GEOMETRIC_RMSE_VERIFY_QUAD_UL

Double

RMSE of the geometric residuals (pixels) of the upper-left quadrant measured on the terrain-corrected product independently using GLS2000.

GEOMETRIC_RMSE_VERIFY_QUAD_UR

Double

RMSE of the geometric residuals (pixels) of the upper-right quadrant measured on the terrain-corrected product independently using GLS2000.

GRID_CELL_SIZE_REFLECTIVE

Double

Grid cell size used in creating the image for the reflective band.

GROUND_CONTROL_POINTS_MODEL

Double

The number of ground control points used. Not used in L1GT products. Values: 0 - 999 (0 is used for L1T products that have used Multi-scene refinement).

GROUND_CONTROL_POINTS_VERIFY

Double

The number of ground control points used in the verification of the terrain corrected product. Values: -1 to 1615 (-1 = not available)

GROUND_CONTROL_POINTS_VERSION

Double

The number of ground control points used in the verification of the terrain corrected product. Values: -1 to 1615 (-1 = not available)

IMAGE_QUALITY

Double

Image quality, 0 = worst, 9 = best, -1 = quality not calculated

LANDSAT_PRODUCT_ID

String

The naming convention of each Landsat Collection 1 Level-1 image based on acquisition parameters and processing parameters. Format: LXSS_LLLL_PPPRRR_YYYYMMDD_yyyymmdd_CC_TX * L = Landsat * X = Sensor (O = Operational Land Imager, T = Thermal Infrared Sensor, C = Combined OLI/TIRS) * SS = Satellite (08 = Landsat 8) * LLLL = Processing Correction Level (L1TP = precision and terrain, L1GT = systematic terrain, L1GS = systematic) * PPP = WRS Path * RRR = WRS Row * YYYYMMDD = Acquisition Date expressed in Year, Month, Day * yyyymmdd = Processing Date expressed in Year, Month, Day * CC = Collection Number (01) * TX = Collection Category (RT = Real Time, T1 = Tier 1, T2 = Tier 2)

LANDSAT_SCENE_ID

String

The Pre-Collection naming convention of each image is based on acquisition parameters. This was the naming convention used prior to Collection 1. Format: LXSPPPRRRYYYYDDDGSIVV * L = Landsat * X = Sensor (O = Operational Land Imager, T = Thermal Infrared Sensor, C = Combined OLI/TIRS) * S = Satellite (08 = Landsat 8) * PPP = WRS Path * RRR = WRS Row * YYYY = Year of Acquisition * DDD = Julian Day of Acquisition * GSI = Ground Station Identifier * VV = Version

MAP_PROJECTION

String

Projection used to represent the 3-dimensional surface of the earth for the Level-1 product.

MAP_PROJECTION_L0RA

String

L0RA map projection selectively applied to HDTs based on geographic location. Used for processed archive data.

ORIENTATION

String

Orientation used in creating the image. Values: NOMINAL = Nominal Path, NORTH_UP = North Up, TRUE_NORTH = True North, USER = User

PRESENT_BAND_4

String

Presence of Band 4 (Y = Yes, N = No, M = Missing, I = Unknown)

PRESENT_BAND_5

String

Presence of Band 5 (Y = Yes, N = No, M = Missing, I = Unknown)

PRESENT_BAND_6

String

Presence of Band 6 (Y = Yes, N = No, M = Missing, I = Unknown)

PRESENT_BAND_7

String

Presence of Band 7 (Y = Yes, N = No, M = Missing, I = Unknown)

PROCESSING_SOFTWARE_VERSION

String

Name and version of the processing software used to generate the L1 product.

RADIANCE_ADD_BAND_4

Double

Additive rescaling factor used to convert calibrated DN to radiance for Band 4.

RADIANCE_ADD_BAND_5

Double

Additive rescaling factor used to convert calibrated DN to radiance for Band 5.

RADIANCE_ADD_BAND_6

Double

Additive rescaling factor used to convert calibrated DN to radiance for Band 6.

RADIANCE_ADD_BAND_7

Double

Additive rescaling factor used to convert calibrated DN to radiance for Band 7.

RADIANCE_MULT_BAND_4

Double

Multiplicative rescaling factor used to convert calibrated Band 4 DN to radiance.

RADIANCE_MULT_BAND_5

Double

Multiplicative rescaling factor used to convert calibrated Band 5 DN to radiance.

RADIANCE_MULT_BAND_6

Double

Multiplicative rescaling factor used to convert calibrated Band 6 DN to radiance.

RADIANCE_MULT_BAND_7

Double

Multiplicative rescaling factor used to convert calibrated Band 7 DN to radiance.

REFLECTANCE_ADD_BAND_4

Double

Additive rescaling factor used to convert calibrated Band 4 DN to reflectance.

REFLECTANCE_ADD_BAND_5

Double

Additive rescaling factor used to convert calibrated Band 5 DN to reflectance.

REFLECTANCE_ADD_BAND_6

Double

Additive rescaling factor used to convert calibrated Band 6 DN to reflectance.

REFLECTANCE_ADD_BAND_7

Double

Additive rescaling factor used to convert calibrated Band 7 DN to reflectance.

REFLECTANCE_MULT_BAND_4

Double

Multiplicative factor used to convert calibrated Band 4 DN to reflectance.

REFLECTANCE_MULT_BAND_5

Double

Multiplicative factor used to convert calibrated Band 5 DN to reflectance.

REFLECTANCE_MULT_BAND_6

Double

Multiplicative factor used to convert calibrated Band 6 DN to reflectance.

REFLECTANCE_MULT_BAND_7

Double

Multiplicative factor used to convert calibrated Band 7 DN to reflectance.

REFLECTIVE_LINES

Double

Number of product lines for the reflective bands.

REFLECTIVE_SAMPLES

Double

Number of product samples for the reflective bands.

REQUEST_ID

String

Request id, nnnyymmdd0000_0000 * nnn = node number * yy = year * mm = month * dd = day

RESAMPLING_OPTION

String

Resampling option used in creating the image.

SATURATION_BAND_4

String

Flag indicating saturated pixels for band 4 ('Y'/'N')

SATURATION_BAND_5

String

Flag indicating saturated pixels for band 5 ('Y'/'N')

SATURATION_BAND_6

String

Flag indicating saturated pixels for band 6 ('Y'/'N')

SATURATION_BAND_7

String

Flag indicating saturated pixels for band 7 ('Y'/'N')

SCENE_CENTER_TIME

String

Scene center time of acquired image. HH:MM:SS.SSSSSSSZ * HH = Hour (00-23) * MM = Minutes * SS.SSSSSSS = Fractional seconds * Z = "Zulu" time (same as GMT)

SENSOR_ID

String

Sensor used to capture data.

SPACECRAFT_ID

String

Spacecraft identification.

STATION_ID

String

Ground Station/Organisation that received the data.

SUN_AZIMUTH

Double

Sun azimuth angle in degrees for the image center location at the image centre acquisition time.

SUN_ELEVATION

Double

Sun elevation angle in degrees for the image center location at the image centre acquisition time.

UTM_ZONE

Double

UTM zone number used in product map projection.

WRS_PATH

Double

The WRS orbital path number (001 - 251).

WRS_ROW

Double

Landsat satellite WRS row (001-248).

使用说明:

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.

Landsat数据集是联邦创建的数据,因此属于公共领域,可以在没有版权限制的情况下使用、转让或复制。

对美国地质调查局作为数据来源的确认或信用,应通过包括一行文字引用来提供,如下面的例子。

(产品、图像、照片或数据集名称)由美国地质调查局提供。

例子。Landsat-7图像由美国地质调查局提供

请参阅美国地质调查局视觉识别系统指南,了解有关美国地质调查局产品的正确引用和鸣谢的进一步细节。

代码:

代码语言:javascript复制
var dataset = ee.ImageCollection('LANDSAT/LM02/C01/T1')
                  .filterDate('1978-01-01', '1980-12-31');
var nearInfrared321 = dataset.select(['B6', 'B5', 'B4']);
var nearInfrared321Vis = {};
Map.setCenter(6.746, 46.529, 6);
Map.addLayer(nearInfrared321, nearInfrared321Vis, 'Near Infrared (321)');

代码:

代码语言:javascript复制
var dataset = ee.ImageCollection('LANDSAT/LM02/C01/T2')
                  .filterDate('1978-01-01', '1980-12-31');
var nearInfrared321 = dataset.select(['B6', 'B5', 'B4']);
var nearInfrared321Vis = {};
Map.setCenter(6.746, 46.529, 6);
Map.addLayer(nearInfrared321, nearInfrared321Vis, 'Near Infrared (321)');

高纬度地区影像数量较少,影像缺失较为严重:

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