Google Earth Engine ——Landsat 5 TM_TOA数据集DN值缩放的、校准的传感器辐射度数据集

article/2025/5/10 7:44:55

 Landsat 5 TM Collection 1 Tier 1 calibrated top-of-atmosphere (TOA) reflectance. Calibration coefficients are extracted from the image metadata. See Chander et al. (2009) for details on the TOA computation.

Landsat 5 TM Collection 1 Tier 1校准的大气层顶部(TOA)反射率。校准系数从图像元数据中提取。关于TOA计算的细节,见Chander等人(2009)。

Dataset Availability

1984-01-01T00:00:00 - 2012-05-05T00:00:00

Dataset Provider

USGS/Google

Collection Snippet

ee.ImageCollection("LANDSAT/LT05/C01/T1_TOA")

Bands Table

NameDescriptionResolutionWavelength
B1Blue30 meters0.45 - 0.52 µm
B2Green30 meters0.52 - 0.60 µm
B3Red30 meters0.63 - 0.69 µm
B4Near infrared30 meters0.76 - 0.90 µm
B5Shortwave infrared 130 meters1.55 - 1.75 µm
B6Thermal Infrared 1. Resampled from 60m to 30m.30 meters10.40 - 12.50 µm
B7Shortwave infrared 230 meters2.08 - 2.35 µm
BQALandsat Collection 1 QA Bitmask ([See Landsat QA page](https://www.usgs.gov/land-resources/nli/landsat/landsat-collection-1-level-1-quality-assessment-band))30 meters
BQA Bitmask
  • Bit 0: Designated Fill
    • 0: No
    • 1: Yes
  • Bit 1: Designated 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
  • Bits 5-6: Cloud Confidence
    • 0: Not Determined / Condition does not exist.
    • 1: Low, (0-33 percent confidence)
    • 2: Medium, (34-66 percent confidence)
    • 3: High, (67-100 percent confidence)
  • Bits 7-8: Cloud Shadow Confidence
    • 0: Not Determined / Condition does not exist.
    • 1: Low, (0-33 percent confidence)
    • 2: Medium, (34-66 percent confidence)
    • 3: High, (67-100 percent confidence)
  • Bits 9-10: Snow / Ice Confidence
    • 0: Not Determined / Condition does not exist.
    • 1: Low, (0-33 percent confidence)
    • 2: Medium, (34-66 percent confidence)
    • 3: High, (67-100 percent confidence)
NameTypeDescription
CLOUD_COVERDoublePercentage cloud cover (0-100), -1 = not calculated.
CLOUD_COVER_LANDDoublePercentage cloud cover over land (0-100), -1 = not calculated.
COLLECTION_CATEGORYStringTier of scene. (T1 or T2)
COLLECTION_NUMBERDoubleNumber of collection.
CORRECTION_BIAS_BAND_1StringInternal calibration bias method for band 1.
CORRECTION_BIAS_BAND_2StringInternal calibration bias method for band 2.
CORRECTION_BIAS_BAND_3StringInternal calibration bias method for band 3.
CORRECTION_BIAS_BAND_4StringInternal calibration bias method for band 4.
CORRECTION_BIAS_BAND_5StringInternal calibration bias method for band 5.
CORRECTION_BIAS_BAND_6StringInternal calibration bias method for band 6.
CORRECTION_BIAS_BAND_7StringInternal calibration bias method for band 7.
CORRECTION_GAIN_BAND_1StringInternal calibration gain method for band 1.
CORRECTION_GAIN_BAND_2StringInternal calibration gain method for band 2.
CORRECTION_GAIN_BAND_3StringInternal calibration gain method for band 3.
CORRECTION_GAIN_BAND_4StringInternal calibration gain method for band 4.
CORRECTION_GAIN_BAND_5StringInternal calibration gain method for band 5.
CORRECTION_GAIN_BAND_6StringInternal calibration gain method for band 6.
CORRECTION_GAIN_BAND_7StringInternal calibration gain method for band 7.
CPF_NAMEStringCalibration parameter file name.
DATA_CATEGORYStringCurrent data category assigned to the data. Possible values: ("NOMINAL", "VALIDATION", "EXCHANGE", "TEST", "ENGINEERING")
DATA_TYPEStringData type identifier. (L1T or L1G)
DATA_TYPE_L0RPStringData type identifier string used to create the L0RP product.
DATE_ACQUIREDStringImage acquisition date. "YYYY-MM-DD"
DATUMStringDatum used in image creation.
EARTH_SUN_DISTANCEDoubleEarth sun distance in astronomical units (AU).
ELEVATION_SOURCEStringElevation model source used for standard terrain corrected (L1T) products.
ELLIPSOIDStringEllipsoid used in image creation.
EPHEMERIS_TYPEStringEphemeris data type used to perform geometric correction. (Definitive or Predictive)
FILE_DATEDoubleFile date in milliseconds since epoch.
GEOMETRIC_RMSE_MODELDoubleCombined 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_XDoubleRMSE 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_YDoubleRMSE of the Y direction geometric residuals (in metres) measured on the GCPs used in geometric precision correction. Not present in L1G products.
GEOMETRIC_RMSE_VERIFYDoubleRMSE of the geometric residuals (pixels) in both line and sample directions measured on the terrain-corrected product independently using GLS2000.
GEOMETRIC_RMSE_VERIFY_QUAD_LLDoubleRMSE of the geometric residuals (pixels) of the lower-left quadrant measured on the terrain-corrected product independently using GLS2000.
GEOMETRIC_RMSE_VERIFY_QUAD_LRDoubleRMSE of the geometric residuals (pixels) of the lower-right quadrant measured on the terrain-corrected product independently using GLS2000.
GEOMETRIC_RMSE_VERIFY_QUAD_ULDoubleRMSE of the geometric residuals (pixels) of the upper-left quadrant measured on the terrain-corrected product independently using GLS2000.
GEOMETRIC_RMSE_VERIFY_QUAD_URDoubleRMSE of the geometric residuals (pixels) of the upper-right quadrant measured on the terrain-corrected product independently using GLS2000.
GRID_CELL_SIZE_REFLECTIVEDoubleGrid cell size used in creating the image for the reflective band.
GRID_CELL_SIZE_THERMALDoubleGrid cell size used in creating the image for the thermal band.
GROUND_CONTROL_POINTS_MODELDoubleThe 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_VERIFYDoubleThe number of ground control points used in the verification of the terrain corrected product. Values: -1 to 1615 (-1 = not available)
GROUND_CONTROL_POINTS_VERSIONDoubleThe number of ground control points used in the verification of the terrain corrected product. Values: -1 to 1615 (-1 = not available)
IMAGE_QUALITYDoubleImage quality, 0 = worst, 9 = best, -1 = quality not calculated
K1_CONSTANT_BAND_6DoubleCalibration constant K1 for Band 6 radiance to temperature conversion.
K2_CONSTANT_BAND_6DoubleCalibration constant K2 for Band 6 radiance to temperature conversion.
LANDSAT_PRODUCT_IDStringThe 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_IDStringThe 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_PROJECTIONStringProjection used to represent the 3-dimensional surface of the earth for the Level-1 product.
MAP_PROJECTION_L0RAStringL0RA map projection selectively applied to HDTs based on geographic location. Used for processed archive data.
ORIENTATIONStringOrientation used in creating the image. Values: NOMINAL = Nominal Path, NORTH_UP = North Up, TRUE_NORTH = True North, USER = User
PROCESSING_SOFTWARE_VERSIONStringName and version of the processing software used to generate the L1 product.
RADIANCE_ADD_BAND_1DoubleAdditive rescaling factor used to convert calibrated DN to radiance for Band 1.
RADIANCE_ADD_BAND_2DoubleAdditive rescaling factor used to convert calibrated DN to radiance for Band 2.
RADIANCE_ADD_BAND_3DoubleAdditive rescaling factor used to convert calibrated DN to radiance for Band 3.
RADIANCE_ADD_BAND_4DoubleAdditive rescaling factor used to convert calibrated DN to radiance for Band 4.
RADIANCE_ADD_BAND_5DoubleAdditive rescaling factor used to convert calibrated DN to radiance for Band 5.
RADIANCE_ADD_BAND_6DoubleAdditive rescaling factor used to convert calibrated DN to radiance for Band 6.
RADIANCE_ADD_BAND_7DoubleAdditive rescaling factor used to convert calibrated DN to radiance for Band 7.
RADIANCE_MULT_BAND_1DoubleMultiplicative rescaling factor used to convert calibrated Band 1 DN to radiance.
RADIANCE_MULT_BAND_2DoubleMultiplicative rescaling factor used to convert calibrated Band 2 DN to radiance.
RADIANCE_MULT_BAND_3DoubleMultiplicative rescaling factor used to convert calibrated Band 3 DN to radiance.
RADIANCE_MULT_BAND_4DoubleMultiplicative rescaling factor used to convert calibrated Band 4 DN to radiance.
RADIANCE_MULT_BAND_5DoubleMultiplicative rescaling factor used to convert calibrated Band 5 DN to radiance.
RADIANCE_MULT_BAND_6DoubleMultiplicative rescaling factor used to convert calibrated Band 6 DN to radiance.
RADIANCE_MULT_BAND_7DoubleMultiplicative rescaling factor used to convert calibrated Band 7 DN to radiance.
REFLECTANCE_ADD_BAND_1DoubleAdditive rescaling factor used to convert calibrated Band 1 DN to reflectance.
REFLECTANCE_ADD_BAND_2DoubleAdditive rescaling factor used to convert calibrated Band 2 DN to reflectance.
REFLECTANCE_ADD_BAND_3DoubleAdditive rescaling factor used to convert calibrated Band 3 DN to reflectance.
REFLECTANCE_ADD_BAND_4DoubleAdditive rescaling factor used to convert calibrated Band 4 DN to reflectance.
REFLECTANCE_ADD_BAND_5DoubleAdditive rescaling factor used to convert calibrated Band 5 DN to reflectance.
REFLECTANCE_ADD_BAND_7DoubleMultiplicative factor used to convert calibrated Band 7 DN to reflectance.
REFLECTANCE_MULT_BAND_1DoubleMultiplicative factor used to convert calibrated Band 1 DN to reflectance.
REFLECTANCE_MULT_BAND_2DoubleMultiplicative factor used to convert calibrated Band 2 DN to reflectance.
REFLECTANCE_MULT_BAND_3DoubleMultiplicative factor used to convert calibrated Band 3 DN to reflectance.
REFLECTANCE_MULT_BAND_4DoubleMultiplicative factor used to convert calibrated Band 4 DN to reflectance.
REFLECTANCE_MULT_BAND_5DoubleMultiplicative factor used to convert calibrated Band 5 DN to reflectance.
REFLECTANCE_MULT_BAND_7DoubleMultiplicative factor used to convert calibrated Band 7 DN to reflectance.
REFLECTIVE_LINESDoubleNumber of product lines for the reflective bands.
REFLECTIVE_SAMPLESDoubleNumber of product samples for the reflective bands.
REQUEST_IDStringRequest id, nnnyymmdd0000_0000 * nnn = node number * yy = year * mm = month * dd = day
RESAMPLING_OPTIONStringResampling option used in creating the image.
SATURATION_BAND_1StringFlag indicating saturated pixels for band 1 ('Y'/'N')
SATURATION_BAND_2StringFlag indicating saturated pixels for band 2 ('Y'/'N')
SATURATION_BAND_3StringFlag indicating saturated pixels for band 3 ('Y'/'N')
SATURATION_BAND_4StringFlag indicating saturated pixels for band 4 ('Y'/'N')
SATURATION_BAND_5StringFlag indicating saturated pixels for band 5 ('Y'/'N')
SATURATION_BAND_6StringFlag indicating saturated pixels for band 6 ('Y'/'N')
SATURATION_BAND_7StringFlag indicating saturated pixels for band 7 ('Y'/'N')
SCENE_CENTER_TIMEStringScene 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_IDStringSensor used to capture data.
SENSOR_MODEStringOperational mode. Scan Angle Monitor (SAM) or BUMPER.
SPACECRAFT_IDStringSpacecraft identification.
STATION_IDStringGround Station/Organisation that received the data.
SUN_AZIMUTHDoubleSun azimuth angle in degrees for the image center location at the image centre acquisition time.
SUN_ELEVATIONDoubleSun elevation angle in degrees for the image center location at the image centre acquisition time.
THERMAL_LINESDoubleNumber of product lines for the thermal band.
THERMAL_SAMPLESDoubleNumber of product samples for the thermal band.
UTM_ZONEDoubleUTM zone number used in product map projection.
WRS_PATHDoubleThe WRS orbital path number (001 - 251).
WRS_ROWDoubleLandsat 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:

var dataset = ee.ImageCollection('LANDSAT/LT05/C01/T1_32DAY_TOA').filterDate('2011-01-01', '2011-12-31');
var trueColor = dataset.select(['B3', 'B2', 'B1']);
var trueColorVis = {min: 0,max: 0.4,gamma: 1.2,
};
Map.setCenter(6.746, 46.529, 6);
Map.addLayer(trueColor, trueColorVis, 'True Color (432)');
var dataset = ee.ImageCollection('LANDSAT/LT05/C01/T1_8DAY_TOA').filterDate('2011-01-01', '2011-12-31');
var trueColor = dataset.select(['B3', 'B2', 'B1']);
var trueColorVis = {min: 0,max: 0.4,gamma: 1.2,
};
Map.setCenter(6.746, 46.529, 6);
Map.addLayer(trueColor, trueColorVis, 'True Color (432)');
var dataset = ee.ImageCollection('LANDSAT/LT05/C01/T1_ANNUAL_TOA').filterDate('2011-01-01', '2011-12-31');
var trueColor = dataset.select(['B3', 'B2', 'B1']);
var trueColorVis = {min: 0,max: 0.4,gamma: 1.2,
};
Map.setCenter(6.746, 46.529, 6);
Map.addLayer(trueColor, trueColorVis, 'True Color (432)');


http://chatgpt.dhexx.cn/article/6B1sAY05.shtml

相关文章

GEE:时间序列分析2——将Landsat5、7、8所有影像合成一个影像集合,构建NDVI时间序列

本文记录了在Google Earth Engine(GEE)平台上,将Landsat-5、Landsat-7和Landsat-8合成同一个影像集合,并把这个新的影像集合合并成一个大的集合的代码,并计算了NDVI指数,构建了一个NDVI年度合成的时间序列数据集。为之后时间序列分析做数据准备。 其中主要函数已经封装成…

USGS下载LANDSAT5 2级别 影像问题

USGS下载LANDSAT5 2级别 影像问题 算是老师留的课设吧,用到了LANDSAT卫星,在USGS这个傻狗网站上下载,可给我气坏了。。。。 用ENVI打开MTI.txt打不开,提示报错是这样沈的: 回文件夹里一找,笑死&#xff0…

利用ENVI实现landsat 5地表温度反演

1:将landsat 5数据进行大气校正 2:计算NDVI, 3:利用混合相元法计算植被覆盖度 fv 代表裸地的NDVI值,代表全部植被覆盖的NDVI值 根据自己的实际情况确定上述两个值,比如为-0.2,为0.7 利用envi的波段运算&#xff…

envi如何打开Landsat5 TM数据

(1)在envi中点击file>open as>opptical sensions>Landsat>GeoTIFF with Metadata (2)找到解压后的Landsat5数据文件夹,选择文件名为MTL的数据,点击打开。这样Landsat5数据即加载入ENVI中了,并在ENVI中显示出来了。 同样的&#x…

(一)Landsat_5 TM 头文件信息预览(内含各校正重要参数)

一、Landsat_5 TM 参数介绍 注:以下信息参考百度百科 Landsat-5卫星主要轨道特性参数如下: 近极近环形太阳同步轨道 倾角:98.2。 轨道周期:99分钟 穿越赤道时间:上午9点45分/-15分钟 扫描带宽度:185km 重访…

(二)Landsat_5 TM 遥感影像波段合成真假彩色影像

前言 回顾以下Landsat系列卫星的发展史,可以发现Landsat_5卫星已经退役,作为世界上寿命最长的地球观测卫星,其在影像方面对人类的发展具有很深刻的意义。Landsat_5 TM共有7个波段,通过不同的波段组合,形成不同遥感图像…

遥感学习笔记(五)——Landsat卫星简介

美国NASA的陆地卫星(Landsat)计划(1975年前称为地球资源技术卫星 — ERTS ),从1972年7月23日以来, 已发射8颗(第6颗发射失败)。目前Landsat1—4均相继失效,Landsat 5于2013年6月退役。 Landsat 7于1999年4月15日发射升…

尚硅谷Maxwell视频教程发布

学大数据的小伙伴们, 垒哥的Atlas和Kylin视频看完了吗? 担心你没了学习资料放纵堕落, 垒哥又带着新视频来啦! 我问垒哥:今晚不喝酒行吗? 垒哥说:行! 我问垒哥:今晚不…

尚硅谷视频总结——Java多线程

多线程 一:基本概念:程序,进程,线程 程序(program):程序是为完成特定任务,用某种语言编写的一组指令的集合。即指一段静态的代码,静态对象。 进程(process):进程是程序的一次执行…

Vue学习笔记--第一章(尚硅谷学习视频总结)

目录 一、第一章 Vue核心 1.1. Vue简介 1.1.1. 官网 1.1.2. 介绍与描述 1.1.3. Vue 的特点 1.1.4. 与其它 JS 框架的关联 1.1.5. Vue 周边库 1.2.初识Vue 1.3. 模板语法 1.4. 数据绑定 1.5 el与data的两种写法 1.6 MVVM模型 1.7 Vue中的数据代理 1.8.事件处理 1.…

JUC编程的使用(基于尚硅谷视频)

文章目录 1.核心概念2.线程2.1线程的实现2.2 多线程的使用方法(重点)2.3.Synchronized关键字(自动上锁和解锁)2.4Look锁(手动上锁和解锁)2.4.1常用方法2.4.2常用类 2.5可定制化线程 2.6线程的状态3.ArrayLi…

强强联手 | 尚硅谷Dinky视频教程发布

Dinky为Apache Flink而生,让Flink SQL纵享丝滑。顾名思义,Dinky是一个小而美的框架,它基于 Apache Flink 二次开发,无侵入,开箱即用,是易扩展的一站式 FlinkSQL & SQL DataOps,可以很大程度…

尚硅谷视频讲解:多态性

1.理解多态性 具体来讲,是对象的多种形态,可以是man,woman等 父类的引用即p2 子类的对象即 Man; 声明的是变量 Person p2 右边是对象(man,或者woman,只要是person其他子类都可以)…

Vue.js尚硅谷视频学习笔记(第一章:Vue 核心)

第1 章:Vue 核心 1.1. Vue 的基本认识 1.1.1. 官网 英文官网: https://vuejs.org/中文官网: https://cn.vuejs.org/ 1.1.2. 介绍描述 渐进式JavaScript 框架作者: 尤雨溪(一位华裔前Google 工程师)作用: 动态构建用户界面 1.1.3. Vue 的特点 遵循MVVM 模式编…

尚硅谷Kylin视频教程发布!

Atlas视频教程发布后,有谷粉说: 就这?我两天就学完了。 垒哥小浣熊脸,不服又很无奈: 人生路还很长,年轻人别太狂。 我们尚硅谷的大数据学科, 不能给生产队的驴和老母猪丢脸! 来…

「尚硅谷与腾讯云官方合作」硅谷课堂项目视频发布

硅谷课堂是尚硅谷与腾讯云官方合作的项目,是一款基于微信公众号B2C模式的在线学习平台。项目包含后台系统和微信公众号部分,采用前后端分离开发模式。 本套项目教程针对有一定开发经验的Java程序员精心打造,项目技术涵盖微服务、微信公众号、…

javascript全笔记-基础版(尚硅谷视频李立超老师)

目录 一.JavaScript简介 1.1 JS简介 1.2 JS的HelloWorld 1.3 JS代码编写的位置 二.JS的基础语法 2.1 JS的基本语法 2.2 字面量与变量 2.3 标识符 2.4 数据类型 2.4.1 typeof运算符 2.4.2 String 2.4.3 Number 2.4.4 Boolean 2.4.5Null 2.4.6Undefined 2.5 强制…

尚硅谷前端视频总结(二)

尚硅谷前端视频总结(二) 原文链接 动画animation CSS animation 属性是 animation-name,animation-duration, animation-timing-function,animation-delay,animation-iteration-count,animation-directi…

Spring Cloud 尚硅谷阳哥学习笔记,每一行代码均有解释,适合快速上手,并配合尚硅谷视频食用

Spring Cloud ATenOne ❤️ 一、正常 SpringBoot 环境的测试 1、版本的选择 SpringCloud Hoxton.SR1SpringBoot 2.2.2.RELEASESpringCloud Alibaba 2.1.0.RELEASEJava 8Maven 3.5Mysql 8.0.25 父 pom.xml 如下 <?xml version"1.0" encoding"UTF-8&quo…

vue3快速上手(尚硅谷视频笔记)

Vue3快速上手 1.Vue3简介 2020年9月18日&#xff0c;Vue.js发布3.0版本&#xff0c;代号&#xff1a;One Piece&#xff08;海贼王&#xff09;耗时2年多、2600次提交、30个RFC、600次PR、99位贡献者github上的tags地址&#xff1a;https://github.com/vuejs/vue-next/releas…