Landsat7_C2_ST data set January 2019-December 2022

Introduction:

The Landsat7_C2_ST data set is atmospherically corrected surface temperature data and is a secondary data product of Collection2. It measures the earth's surface temperature in Kelvin and is an important geophysical parameter in global energy balance research and hydrological simulations. Surface temperature data can also help monitor crop and vegetation health, as well as extreme heat events such as natural disasters (e.g., volcanic eruptions, wildfires) and the urban heat island effect. Since June 2003, there has been a gap problem in transmitted data due to a scan line corrector (SLC) failure. Preface – Artificial Intelligence Tutorial

The Landsat 7 C2 ST dataset is a Landsat 7 satellite image dataset produced by the United States Geological Survey (USGS). This dataset contains multispectral satellite images taken by the Landsat 7 satellite before and after sensor failure, with global coverage of the Earth's surface. The pixel resolution of the data set is 30 meters, and the image contains 8 bands, including 3 infrared bands. The Landsat 7 C2 ST dataset can be used in areas such as monitoring natural resources, land cover change, agriculture, forest management and urban planning. The dataset is available for free download and can be accessed through the USGS' Global Visualizer (GloVis).

Earth's surface temperature is the temperature at the surface of the Earth or where the Earth's atmosphere meets the surface, and is measured in degrees Celsius or Fahrenheit. Changes in the Earth's surface temperature can be affected by a variety of factors, including solar radiation, atmospheric composition, surface reflectivity, ocean circulation, etc. In recent years, due to the influence of human activities, such as the increase in greenhouse gases in the atmosphere, the earth's surface temperature has been on an upward trend, causing serious climate change problems.

Band:

name	unit	minimum value	maximum value	multiplicative scaling factor	additive scaling factor	Wavelength range (microns)	describe
B6	Kelvin	0	65535	0.00341802	149	10.40-12.50	Band 6 surface temperature. If 'PROCESSING_LEVEL' is set to 'L2SR', this band is fully masked out.
ST_ATRAN	Unitless	0	10000	0.0001			Atmospheric Transmittance. If 'PROCESSING_LEVEL' is set to 'L2SR', this band is fully masked out.
ST_CDIST	km	0	24000	0.01			Pixel distance to cloud. If 'PROCESSING_LEVEL' is set to 'L2SR', this band is fully masked out.
ST_DRAD	W/(m^2srum)/ DN	0	28000	0.001			Downwelled Radiance. If 'PROCESSING_LEVEL' is set to 'L2SR', this band is fully masked out.
ST_EMIS	Unitless	0	10000	0.0001			Emissivity estimated from ASTER GED. If 'PROCESSING_LEVEL' is set to 'L2SR', this band is fully masked out.
ST_EMSD	Unitless	0	10000	0.0001			Emissivity standard deviation. If 'PROCESSING_LEVEL' is set to 'L2SR', this band is fully masked out.
ST_QA	Kelvin	0	32767	0.01			Uncertainty of the Surface Temperature band. If 'PROCESSING_LEVEL' is set to 'L2SR', this band is fully masked out.
ST_TRAD	W/(m^2srum)/ DN	0	22000	0.001			Thermal band converted to radiance. If 'PROCESSING_LEVEL' is set to 'L2SR', this band is fully masked out.
ST_URAD	W/(m^2srum)/ DN	0	28000	0.001			Upwelled Radiance. If 'PROCESSING_LEVEL' is set to 'L2SR', this band is fully masked out.
QA_PIXEL	Bit Index	5440	16382				Landsat Collection 2 QA Bitmask
QA_RADSAT	Bit Index	0	3829				Radiometric saturation QA

Code:

/**
 * @File    :   Landsat7_C2_ST_T1
 * @Time    :   2023/03/07
 * @Author  :   GEOVIS Earth Brain
 * @Version :   0.1.0
 * @Contact :   中国(安徽)自由贸易试验区合肥市高新区望江西路900号中安创谷科技园一期A1楼36层
 * @License :   (C)Copyright 中科星图数字地球合肥有限公司 版权所有
 * @Desc    ：  数据集key为LANDSAT_7/02/T1/ST的Landsat7_C2_ST类数据集
 * @Name    :   Landsat7_C2_ST_T1数据集
*/

//指定检索数据集，可设置检索的空间和时间范围，以及属性过滤条件（如云量过滤）
var imageCollection = gve.ImageCollection("LANDSAT_7/02/T1/ST")
                    .filterCloud('lt',20)
                    .filterDate('2022-01-20','2022-02-15')
                    .select(['B6'])
                    .limit(10);
					
print("imageCollection",imageCollection);

//function applyScaleFactors(image) {
//    var thermalBands = image.select('B.*').multiply(0.00341802).add(149.0);
//    return image.addBands(thermalBands, null, true)
//}
//
//var img = imageCollection.map(applyScaleFactors).first();
var img = imageCollection.first();

print("first", img);

var visParams = {
//    gamma: 1,
//    brightness: 1,
    min: 293,
    max: 42199,
    palette: {
    "band_rendering": {
      "pseudocolor": {
      "colormap": [
        '#040274', '#040281', '#0502a3', '#0502b8', '#0502ce', '#0502e6',
        '#0602ff', '#235cb1', '#307ef3', '#269db1', '#30c8e2', '#32d3ef',
        '#3be285', '#3ff38f', '#86e26f', '#3ae237', '#b5e22e', '#d6e21f',
        '#fff705', '#ffd611', '#ffb613', '#ff8b13', '#ff6e08', '#ff500d',
        '#ff0000', '#de0101', '#c21301', '#a71001', '#911003'
        ]
      }
    }
 }
};

Map.centerObject(img);
Map.addLayer(img,visParams);

Landsat datasets are internationally public and may be used, transferred or reproduced without copyright restrictions. For more details on proper citation of USGS data products, see USGS Visual Identity System Guidancehttps://www.usgs.gov/information-policies-and-instructions/usgs-visual- identity-system