Google Earth Engine ——LANDSAT/LT04/C02/T1系列数据介绍！

This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat TM sensor. These images contain 4 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal infrared (TIR) band processed to orthorectified surface temperature. They also contain intermediate bands used in calculation of the ST products, as well as QA bands.

Landsat 4 and 5 SR products are created with the Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) algorithm (version 3.4.0). All Collection 2 ST products are created with a single-channel algorithm jointly created by the Rochester Institute of Technology (RIT) and National Aeronautics and Space Administration (NASA) Jet Propulsion Laboratory (JPL).

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

Some assets have only SR data, in which case ST bands are present but empty. For assets with both ST and SR bands, 'L1_PROCESSING_LEVEL' is set to 'L2SP'. For assets with only SR bands, 'L1_PROCESSING_LEVEL' is set to 'L2SR'.

Additional documentation and usage examples.

Data provider notes:

• Data products must contain both optical and thermal data to be successfully processed to surface temperature, as ASTER NDVI is required to temporally adjust the ASTER GED product to the target Landsat scene. Therefore, night time acquisitions cannot be processed to surface temperature.
  
• A known error exists in the surface temperature retrievals relative to clouds and possibly cloud shadows. The characterization of these issues has been documented by Cook et al., (2014).
  

该数据集包含从Landsat TM传感器产生的数据中提取的大气校正表面反射率和地表温度。这些图像包含4个可见光和近红外（VNIR）波段和2个短波红外（SWIR）波段，被处理成正射的表面反射率，以及一个热红外（TIR）波段，被处理成正射的表面温度。它们还包含用于计算ST产品的中间波段，以及QA波段。

Landsat 4和5的SR产品是用Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS)算法（3.4.0版）制作的。所有的2号卫星产品都是用罗切斯特理工学院（RIT）和美国国家航空航天局（NASA）喷气推进实验室（JPL）联合创建的单通道算法创建的。

收集的数据条被打包成重叠的 "场景"，使用标准化的参考网格，覆盖大约170公里x183公里。

一些资产只有SR数据，在这种情况下，ST波段是存在的，但却是空的。对于既有ST波段又有SR波段的资产，"L1_PROCESSING_LEVEL "被设置为 "L2SP"。对于只有SR带的资产，'L1_PROCESSING_LEVEL'被设置为'L2SR'。

其他文件和使用例子。

数据提供者说明。

数据产品必须包含光学和热数据，才能成功处理成表面温度，因为ASTER NDVI需要在时间上调整ASTER GED产品与目标Landsat场景。因此，夜间采集的数据不能被处理成地表温度。

在相对于云和可能的云影的表面温度检索中存在一个已知的错误。库克等人（2014）已经记录了这些问题的特征。

Dataset Availability

1982-08-22T00:00:00 - 1993-12-14T00:00:00

Dataset Provider

USGS

Collection Snippet

Copied

ee.ImageCollection("LANDSAT/LT04/C02/T1_L2")

Resolution

30 meters

Bands Table

影像属性：

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鸣谢或信用，应包括一行文字的引用，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：

var dataset = ee.ImageCollection('LANDSAT/LT04/C01/T1_TOA')
                  .filterDate('1989-01-01', '1992-12-31');
var trueColor321 = dataset.select(['B3', 'B2', 'B1']);
var trueColor321Vis = {
  min: 0.0,
  max: 0.4,
  gamma: 1.2,
};
Map.setCenter(6.746, 46.529, 6);
Map.addLayer(trueColor321, trueColor321Vis, 'True Color (321)');