一、问题描述：

GEE中，如何利用遥感影像的行列号查询影像？

二、分析步骤与代码：

1、分析步骤

分析步骤如下所示：

2、python代码

Map = geemap.Map()
# 按照影像所在行列号进行查询，筛选云量
dataset = ee.ImageCollection('LANDSAT/LT05/C01/T1') \.filterDate('2006-07-01', '2006-12-31') \.filter(ee.Filter.eq('WRS_PATH', 121)) \.filter(ee.Filter.eq('WRS_ROW', 40)) \.sort('CLOUD_COVER')Map.centerObject(dataset)
# 显示时间段内云量最少的影像
Map.addLayer(dataset.first(), {'min':10, 'max':100, 'bands':['B7', 'B4', 'B3'], 'gamma':1.3}, 'dataset')
Map

结果显示如下：

三、拓展查询与分析

1、数据集属性的拓展查询

在上述基础上，进一步对 dataset影像数据集 进行各相关属性的查询和分析，主要有：

• 数据集的整个属性
• 数据集的大小或者数量（包含的影像数量）
• 数据集的时间范围
• 数据集的总体统计
• 限制有限查询数量

2、学习掌握的有关函数

• 掌握 **ImageCollection.reduceColumns()**函数
  
• 掌握 **ee.ImageCollection.aggregate_stats()**函数
  

3、查询分析代码

# 数据集的整个属性
dataset.getInfo()
# 数据集的大小或者数量（包含的影像数量）
dataset.size().getInfo()
# 数数据集的时间范围，使用了函数 reduceColums()
date_range = dataset.reduceColumns(ee.Reducer.minMax(), ['system:time_start']).getInfo()
date_range_start = ee.Date(date_range.get('min')).format('yyyy-MM-dd').getInfo()
date_range_end = ee.Date(date_range.get('max')).format('yyyy-MM-dd').getInfo()
print(date_range_start, date_range_start)
# 数据集的总体统计，使用了aggregate_stats()函数
sumStats = dataset.aggregate_stats('SUN_ELEVATION').getInfo()
print(sumStats)
# 限制有限查询数量
limit_imgs = dataset.sort('system:time_start', opt_ascending=False).limit(3)
limit_imgs.getInfo()

部分查询结果如下：

2006-07-14 2006-07-14
{'max': 65.85008239746094, 'mean': 50.00165303548177, 'min': 33.102012634277344, 'sample_sd': 15.039040681845163, 'sample_var': 226.17274463019385, 'sum': 300.0099182128906, 'sum_sq': 16131.855560835189, 'total_count': 6, 'total_sd': 13.728703041140783, 'total_var': 188.4772871918282, 'valid_count': 6, 'weight_sum': 6, 'weighted_sum': 300.0099182128906}
Output exceeds the size limit. Open the full output data in a text editor{'type': 'ImageCollection','bands': [],'id': 'LANDSAT/LT05/C01/T1','version': 1642035331203608,'properties': {'type_name': 'ImageCollection','keywords': ['c1','global','l5','landsat','lt5','radiance','t1','tier1','tm','usgs'],'visualization_1_bands': 'B4,B3,B2','thumb': 'https://mw1.google.com/ges/dd/images/LANDSAT_RAW_thumb.png','description': '<p>Landsat 5 TM Collection 1 Tier 1 DN values, representing scaled, calibrated at-sensor radiance.</p><p>Landsat scenes with the highest available data quality\nare placed into Tier 1 and are considered suitable for time-series processing\nanalysis. Tier 1 includes Level-1 Precision Terrain (L1TP) processed data\nthat have well-characterized radiometry and are inter-calibrated across the\ndifferent Landsat sensors. The georegistration of Tier 1 scenes will be\nconsistent and within prescribed tolerances [&lt;=12 m root mean square error\n(RMSE)]. All Tier 1 Landsat data can be considered consistent and\ninter-calibrated (regardless of sensor) across the full collection. See more\ninformation <a href="https://www.usgs.gov/core-science-systems/nli/landsat/landsat-collections">in the USGS\ndocs</a>.</p><p>For more information, see <a href="https://www.usgs.gov/centers/eros/science/usgs-eros-archive-landsat-archives-landsat-4-5-thematic-mapper-tm-level-1-data">USGS Landsat 5\nPage</a></p><p><b>Provider: <a href="https://landsat.usgs.gov/">USGS</a></b><br><p><b>Revisit Interval</b><br>\n  16 days\n</p><p><b>Bands</b><table class="eecat"><tr><th scope="col">Name</th><th scope="col">Pixel Size</th><th scope="col">Wavelength</th><th scope="col">Description</th></tr><tr><td>B1</td><td>\n      30 meters\n</td><td>0.45 - 0.52 µm</td><td><p>Blue</p></td></tr><tr><td>B2</td><td>\n      30 meters\n</td><td>0.52 - 0.60 µm</td><td><p>Green</p></td></tr><tr><td>B3</td><td>\n      30 meters\n</td><td>0.63 - 0.69 µm</td><td><p>Red</p></td></tr><tr><td>B4</td><td>\n      30 meters\n</td><td>0.76 - 0.90 µm</td><td><p>Near infrared</p></td></tr><tr><td>B5</td><td>\n      30 meters\n</td><td>1.55 - 1.75 µm</td><td><p>Shortwave infrared 1</p></td></tr><tr><td>B6</td><td>\n      30 meters\n</td><td>10.40 - 12.50 µm</td><td><p>Thermal Infrared 1. Resampled from 60m to 30m.</p></td></tr><tr><td>B7</td><td>\n      30 meters\n</td><td>2.08 - 2.35 µm</td><td><p>Shortwave infrared 2</p></td></tr><tr><td>BQA</td><td>\n      30 meters\n</td><td></td><td><p>Landsat Collection 1 QA Bitmask (<a href="https://www.usgs.gov/land-resources/nli/landsat/landsat-collection-1-level-1-quality-assessment-band">See Landsat QA page</a>)</p></td></tr><tr><td colspan=100>\n      Bitmask for BQA\n<ul><li>\n          Bit 0: Designated Fill\n<ul><li>0: No</li><li>1: Yes</li></ul></li><li>\n          Bit 1: Designated Pixel\n<ul><li>0: No</li><li>1: Yes</li></ul></li><li>\n          Bits 2-3: Radiometric Saturation\n<ul><li>0: No bands contain saturation</li><li>1: 1-2 bands contain saturation</li><li>2: 3-4 bands contain saturation</li><li>3: 5 or more bands contain saturation</li></ul></li><li>\n          Bit 4: Cloud\n<ul><li>0: No</li><li>1: Yes</li></ul></li><li>\n          Bits 5-6: Cloud Confidence\n<ul><li>0: Not Determined / Condition does not exist.</li><li>1: Low, (0-33 percent confidence)</li><li>2: Medium, (34-66 percent confidence)</li><li>3: High, (67-100 percent confidence)</li></ul></li><li>\n          Bits 7-8: Cloud Shadow Confidence\n<ul><li>0: Not Determined / Condition does not exist.</li><li>1: Low, (0-33 percent confidence)</li><li>2: Medium, (34-66 percent confidence)</li><li>3: High, (67-100 percent confidence)</li></ul></li><li>\n          Bits 9-10: Snow / Ice Confidence\n<ul><li>0: Not Determined / Condition does not exist.</li><li>1: Low, (0-33 percent confidence)</li><li>2: Medium, (34-66 percent confidence)</li><li>3: High, (67-100 percent confidence)</li></ul></li></ul></td></tr></table><p><b>Image Properties</b><table class="eecat"><tr><th scope="col">Name</th><th scope="col">Type</th><th scope="col">Description</th></tr><tr><td>CLOUD_COVER</td><td>DOUBLE</td><td><p>Percentage cloud cover (0-100), -1 = not calculated.</p></td></tr><tr><td>CLOUD_COVER_LAND</td><td>DOUBLE</td><td><p>Percentage cloud cover over land (0-100), -1 = not calculated.</p></td></tr><tr><td>COLLECTION_CATEGORY</td><td>STRING</td><td><p>Tier of scene. (T1 or T2)</p></td></tr><tr><td>COLLECTION_NUMBER</td><td>DOUBLE</td><td><p>Number of collection.</p></td></tr><tr><td>CORRECTION_BIAS_BAND_1</td><td>STRING</td><td><p>Internal calibration bias method for band 1.</p></td></tr><tr><td>CORRECTION_BIAS_BAND_2</td><td>STRING</td><td><p>Internal calibration bias method for band 2.</p></td></tr><tr><td>CORRECTION_BIAS_BAND_3</td><td>STRING</td><td><p>Internal calibration bias method for band 3.</p></td></tr><tr><td>CORRECTION_BIAS_BAND_4</td><td>STRING</td><td><p>Internal calibration bias method for band 4.</p></td></tr><tr><td>CORRECTION_BIAS_BAND_5</td><td>STRING</td><td><p>Internal calibration bias method for band 5.</p></td></tr><tr><td>CORRECTION_BIAS_BAND_6</td><td>STRING</td><td><p>Internal calibration bias method for band 6.</p></td></tr><tr><td>CORRECTION_BIAS_BAND_7</td><td>STRING</td><td><p>Internal calibration bias method for band 7.</p></td></tr><tr><td>CORRECTION_GAIN_BAND_1</td><td>STRING</td><td><p>Internal calibration gain method for band 1.</p></td></tr><tr><td>CORRECTION_GAIN_BAND_2</td><td>STRING</td><td><p>Internal calibration gain method for band 2.</p></td></tr><tr><td>CORRECTION_GAIN_BAND_3</td><td>STRING</td><td><p>Internal calibration gain method for band 3.</p></td></tr><tr><td>CORRECTION_GAIN_BAND_4</td><td>STRING</td><td><p>Internal calibration gain method for band 4.</p></td></tr><tr><td>CORRECTION_GAIN_BAND_5</td><td>STRING</td><td><p>Internal calibration gain method for band 5.</p></td></tr><tr><td>CORRECTION_GAIN_BAND_6</td><td>STRING</td><td><p>Internal calibration gain method for band 6.</p></td></tr><tr><td>CORRECTION_GAIN_BAND_7</td><td>STRING</td><td><p>Internal calibration gain method for band 7.</p></td></tr><tr><td>CPF_NAME</td><td>STRING</td><td><p>Calibration parameter file name.</p></td></tr><tr><td>DATA_CATEGORY</td><td>STRING</td><td><p>Current data category assigned to the data. Possible values: (&quot;NOMINAL&quot;, &quot;VALIDATION&quot;, &quot;EXCHANGE&quot;, &quot;TEST&quot;, &quot;ENGINEERING&quot;)</p></td></tr><tr><td>DATA_TYPE</td><td>STRING</td><td><p>Data type identifier. (L1T or L1G)</p></td></tr><tr><td>DATA_TYPE_L0RP</td><td>STRING</td><td><p>Data type identifier string used to create the L0RP product.</p></td></tr><tr><td>DATE_ACQUIRED</td><td>STRING</td><td><p>Image acquisition date. &quot;YYYY-MM-DD&quot;</p></td></tr><tr><td>DATUM</td><td>STRING</td><td><p>Datum used in image creation.</p></td></tr><tr><td>EARTH_SUN_DISTANCE</td><td>DOUBLE</td><td><p>Earth sun distance in astronomical units (AU).</p></td></tr><tr><td>ELEVATION_SOURCE</td><td>STRING</td><td><p>Elevation model source used for standard terrain corrected (L1T) products.</p></td></tr><tr><td>ELLIPSOID</td><td>STRING</td><td><p>Ellipsoid used in image creation.</p></td></tr><tr><td>EPHEMERIS_TYPE</td><td>STRING</td><td><p>Ephemeris data type used to perform geometric correction. (Definitive or Predictive)</p></td></tr><tr><td>FILE_DATE</td><td>DOUBLE</td><td><p>File date in milliseconds since epoch.</p></td></tr><tr><td>GEOMETRIC_RMSE_MODEL</td><td>DOUBLE</td><td><p>Combined Root Mean Square Error (RMSE) of the geometric residuals\n(metres) in both across-track and along-track directions\nmeasured on the GCPs used in geometric precision correction.\nNot present in L1G products.</p></td></tr><tr><td>GEOMETRIC_RMSE_MODEL_X</td><td>DOUBLE</td><td><p>RMSE of the X direction geometric residuals (in metres) measured\non the GCPs used in geometric precision correction. Not present in\nL1G products.</p></td></tr><tr><td>GEOMETRIC_RMSE_MODEL_Y</td><td>DOUBLE</td><td><p>RMSE of the Y direction geometric residuals (in metres) measured\non the GCPs used in geometric precision correction. Not present in\nL1G products.</p></td></tr><tr><td>GEOMETRIC_RMSE_VERIFY</td><td>DOUBLE</td><td><p>RMSE of the geometric residuals (pixels) in both line and sample\ndirections measured on the terrain-corrected product independently\nusing GLS2000.</p></td></tr><tr><td>GEOMETRIC_RMSE_VERIFY_QUAD_LL</td><td>DOUBLE</td><td><p>RMSE of the geometric residuals (pixels) of the lower-left quadrant\nmeasured on the terrain-corrected product independently using GLS2000.</p></td></tr><tr><td>GEOMETRIC_RMSE_VERIFY_QUAD_LR</td><td>DOUBLE</td><td><p>RMSE of the geometric residuals (pixels) of the lower-right quadrant\nmeasured on the terrain-corrected product independently using GLS2000.</p></td></tr><tr><td>GEOMETRIC_RMSE_VERIFY_QUAD_UL</td><td>DOUBLE</td><td><p>RMSE of the geometric residuals (pixels) of the upper-left quadrant\nmeasured on the terrain-corrected product independently using GLS2000.</p></td></tr><tr><td>GEOMETRIC_RMSE_VERIFY_QUAD_UR</td><td>DOUBLE</td><td><p>RMSE of the geometric residuals (pixels) of the upper-right quadrant\nmeasured on the terrain-corrected product independently using GLS2000.</p></td></tr><tr><td>GRID_CELL_SIZE_REFLECTIVE</td><td>DOUBLE</td><td><p>Grid cell size used in creating the image for the reflective band.</p></td></tr><tr><td>GRID_CELL_SIZE_THERMAL</td><td>DOUBLE</td><td><p>Grid cell size used in creating the image for the thermal band.</p></td></tr><tr><td>GROUND_CONTROL_POINTS_MODEL</td><td>DOUBLE</td><td><p>The number of ground control points used. Not used in L1GT products.\nValues: 0 - 999 (0 is used for L1T products that have used\nMulti-scene refinement).</p></td></tr><tr><td>GROUND_CONTROL_POINTS_VERIFY</td><td>DOUBLE</td><td><p>The number of ground control points used in the verification of\nthe terrain corrected product. Values: -1 to 1615 (-1 = not available)</p></td></tr><tr><td>GROUND_CONTROL_POINTS_VERSION</td><td>DOUBLE</td><td><p>The number of ground control points used in the verification of\nthe terrain corrected product. Values: -1 to 1615 (-1 = not available)</p></td></tr><tr><td>IMAGE_QUALITY</td><td>DOUBLE</td><td><p>Image quality, 0 = worst, 9 = best, -1 = quality not calculated</p></td></tr><tr><td>K1_CONSTANT_BAND_6</td><td>DOUBLE</td><td><p>Calibration constant K1 for Band 6 radiance to temperature conversion.</p></td></tr><tr><td>K2_CONSTANT_BAND_6</td><td>DOUBLE</td><td><p>Calibration constant K2 for Band 6 radiance to temperature conversion.</p></td></tr><tr><td>LANDSAT_PRODUCT_ID</td><td>STRING</td><td><p>The naming convention of each Landsat Collection 1 Level-1 image based\non acquisition parameters and processing parameters.</p><p>Format: LXSS_LLLL_PPPRRR_YYYYMMDD_yyyymmdd_CC_TX</p><ul><li>L = Landsat</li><li>X = Sensor (O = Operational Land Imager,\nT = Thermal Infrared Sensor, C = Combined OLI/TIRS)</li><li>SS = Satellite (08 = Landsat 8)</li><li>LLLL = Processing Correction Level (L1TP = precision and terrain,\nL1GT = systematic terrain, L1GS = systematic)</li><li>PPP = WRS Path</li><li>RRR = WRS Row</li><li>YYYYMMDD = Acquisition Date expressed in Year, Month, Day</li><li>yyyymmdd = Processing Date expressed in Year, Month, Day</li><li>CC = Collection Number (01)</li><li>TX = Collection Category (RT = Real Time, T1 = Tier 1, T2 = Tier 2)</li></ul></td></tr><tr><td>LANDSAT_SCENE_ID</td><td>STRING</td><td><p>The Pre-Collection naming convention of each image is based on acquisition\nparameters. This was the naming convention used prior to Collection 1.</p><p>Format: LXSPPPRRRYYYYDDDGSIVV</p><ul><li>L = Landsat</li><li>X = Sensor (O = Operational Land Imager, T = Thermal Infrared Sensor, C = Combined OLI/TIRS)</li><li>S = Satellite (08 = Landsat 8)</li><li>PPP = WRS Path</li><li>RRR = WRS Row</li><li>YYYY = Year of Acquisition</li><li>DDD = Julian Day of Acquisition</li><li>GSI = Ground Station Identifier</li><li>VV = Version</li></ul></td></tr><tr><td>MAP_PROJECTION</td><td>STRING</td><td><p>Projection used to represent the 3-dimensional surface of the earth for the Level-1 product.</p></td></tr><tr><td>MAP_PROJECTION_L0RA</td><td>STRING</td><td><p>L0RA map projection selectively applied to HDTs based on geographic location. Used for processed archive data.</p></td></tr><tr><td>ORIENTATION</td><td>STRING</td><td><p>Orientation used in creating the image. Values: NOMINAL = Nominal Path, NORTH_UP = North Up, TRUE_NORTH = True North, USER = User</p></td></tr><tr><td>PROCESSING_SOFTWARE_VERSION</td><td>STRING</td><td><p>Name and version of the processing software used to generate the L1 product.</p></td></tr><tr><td>RADIANCE_ADD_BAND_1</td><td>DOUBLE</td><td><p>Additive rescaling factor used to convert calibrated DN to radiance for Band 1.</p></td></tr><tr><td>RADIANCE_ADD_BAND_2</td><td>DOUBLE</td><td><p>Additive rescaling factor used to convert calibrated DN to radiance for Band 2.</p></td></tr><tr><td>RADIANCE_ADD_BAND_3</td><td>DOUBLE</td><td><p>Additive rescaling factor used to convert calibrated DN to radiance for Band 3.</p></td></tr><tr><td>RADIANCE_ADD_BAND_4</td><td>DOUBLE</td><td><p>Additive rescaling factor used to convert calibrated DN to radiance for Band 4.</p></td></tr><tr><td>RADIANCE_ADD_BAND_5</td><td>DOUBLE</td><td><p>Additive rescaling factor used to convert calibrated DN to radiance for Band 5.</p></td></tr><tr><td>RADIANCE_ADD_BAND_6</td><td>DOUBLE</td><td><p>Additive rescaling factor used to convert calibrated DN to radiance for Band 6.</p></td></tr><tr><td>RADIANCE_ADD_BAND_7</td><td>DOUBLE</td><td><p>Additive rescaling factor used to convert calibrated DN to radiance for Band 7.</p></td></tr><tr><td>RADIANCE_MULT_BAND_1</td><td>DOUBLE</td><td><p>Multiplicative rescaling factor used to convert calibrated Band 1 DN to radiance.</p></td></tr><tr><td>RADIANCE_MULT_BAND_2</td><td>DOUBLE</td><td><p>Multiplicative rescaling factor used to convert calibrated Band 2 DN to radiance.</p></td></tr><tr><td>RADIANCE_MULT_BAND_3</td><td>DOUBLE</td><td><p>Multiplicative rescaling factor used to convert calibrated Band 3 DN to radiance.</p></td></tr><tr><td>RADIANCE_MULT_BAND_4</td><td>DOUBLE</td><td><p>Multiplicative rescaling factor used to convert calibrated Band 4 DN to radiance.</p></td></tr><tr><td>RADIANCE_MULT_BAND_5</td><td>DOUBLE</td><td><p>Multiplicative rescaling factor used to convert calibrated Band 5 DN to radiance.</p></td></tr><tr><td>RADIANCE_MULT_BAND_6</td><td>DOUBLE</td><td><p>Multiplicative rescaling factor used to convert calibrated Band 6 DN to radiance.</p></td></tr><tr><td>RADIANCE_MULT_BAND_7</td><td>DOUBLE</td><td><p>Multiplicative rescaling factor used to convert calibrated Band 7 DN to radiance.</p></td></tr><tr><td>REFLECTANCE_ADD_BAND_1</td><td>DOUBLE</td><td><p>Additive rescaling factor used to convert calibrated Band 1 DN to reflectance.</p></td></tr><tr><td>REFLECTANCE_ADD_BAND_2</td><td>DOUBLE</td><td><p>Additive rescaling factor used to convert calibrated Band 2 DN to reflectance.</p></td></tr><tr><td>REFLECTANCE_ADD_BAND_3</td><td>DOUBLE</td><td><p>Additive rescaling factor used to convert calibrated Band 3 DN to reflectance.</p></td></tr><tr><td>REFLECTANCE_ADD_BAND_4</td><td>DOUBLE</td><td><p>Additive rescaling factor used to convert calibrated Band 4 DN to reflectance.</p></td></tr><tr><td>REFLECTANCE_ADD_BAND_5</td><td>DOUBLE</td><td><p>Additive rescaling factor used to convert calibrated Band 5 DN to reflectance.</p></td></tr><tr><td>REFLECTANCE_ADD_BAND_7</td><td>DOUBLE</td><td><p>Multiplicative factor used to convert calibrated Band 7 DN to reflectance.</p></td></tr><tr><td>REFLECTANCE_MULT_BAND_1</td><td>DOUBLE</td><td><p>Multiplicative factor used to convert calibrated Band 1 DN to reflectance.</p></td></tr><tr><td>REFLECTANCE_MULT_BAND_2</td><td>DOUBLE</td><td><p>Multiplicative factor used to convert calibrated Band 2 DN to reflectance.</p></td></tr><tr><td>REFLECTANCE_MULT_BAND_3</td><td>DOUBLE</td><td><p>Multiplicative factor used to convert calibrated Band 3 DN to reflectance.</p></td></tr><tr><td>REFLECTANCE_MULT_BAND_4</td><td>DOUBLE</td><td><p>Multiplicative factor used to convert calibrated Band 4 DN to reflectance.</p></td></tr><tr><td>REFLECTANCE_MULT_BAND_5</td><td>DOUBLE</td><td><p>Multiplicative factor used to convert calibrated Band 5 DN to reflectance.</p></td></tr><tr><td>REFLECTANCE_MULT_BAND_7</td><td>DOUBLE</td><td><p>Multiplicative factor used to convert calibrated Band 7 DN to reflectance.</p></td></tr><tr><td>REFLECTIVE_LINES</td><td>DOUBLE</td><td><p>Number of product lines for the reflective bands.</p></td></tr><tr><td>REFLECTIVE_SAMPLES</td><td>DOUBLE</td><td><p>Number of product samples for the reflective bands.</p></td></tr><tr><td>REQUEST_ID</td><td>STRING</td><td><p>Request id, nnnyymmdd0000_0000</p><ul><li>nnn = node number</li><li>yy = year</li><li>mm = month</li><li>dd = day</li></ul></td></tr><tr><td>RESAMPLING_OPTION</td><td>STRING</td><td><p>Resampling option used in creating the image.</p></td></tr><tr><td>SATURATION_BAND_1</td><td>STRING</td><td><p>Flag indicating saturated pixels for band 1 ('Y'/'N')</p></td></tr><tr><td>SATURATION_BAND_2</td><td>STRING</td><td><p>Flag indicating saturated pixels for band 2 ('Y'/'N')</p></td></tr><tr><td>SATURATION_BAND_3</td><td>STRING</td><td><p>Flag indicating saturated pixels for band 3 ('Y'/'N')</p></td></tr><tr><td>SATURATION_BAND_4</td><td>STRING</td><td><p>Flag indicating saturated pixels for band 4 ('Y'/'N')</p></td></tr><tr><td>SATURATION_BAND_5</td><td>STRING</td><td><p>Flag indicating saturated pixels for band 5 ('Y'/'N')</p></td></tr><tr><td>SATURATION_BAND_6</td><td>STRING</td><td><p>Flag indicating saturated pixels for band 6 ('Y'/'N')</p></td></tr><tr><td>SATURATION_BAND_7</td><td>STRING</td><td><p>Flag indicating saturated pixels for band 7 ('Y'/'N')</p></td></tr><tr><td>SCENE_CENTER_TIME</td><td>STRING</td><td><p>Scene center time of acquired image. HH:MM:SS.SSSSSSSZ</p><ul><li>HH = Hour (00-23)</li><li>MM = Minutes</li><li>SS.SSSSSSS = Fractional seconds</li><li>Z = &quot;Zulu&quot; time (same as GMT)</li></ul></td></tr><tr><td>SENSOR_ID</td><td>STRING</td><td><p>Sensor used to capture data.</p></td></tr><tr><td>SENSOR_MODE</td><td>STRING</td><td><p>Operational mode. Scan Angle Monitor (SAM) or BUMPER.</p></td></tr><tr><td>SPACECRAFT_ID</td><td>STRING</td><td><p>Spacecraft identification.</p></td></tr><tr><td>STATION_ID</td><td>STRING</td><td><p>Ground Station/Organisation that received the data.</p></td></tr><tr><td>SUN_AZIMUTH</td><td>DOUBLE</td><td><p>Sun azimuth angle in degrees for the image center location at the image centre acquisition time.</p></td></tr><tr><td>SUN_ELEVATION</td><td>DOUBLE</td><td><p>Sun elevation angle in degrees for the image center location at the image centre acquisition time.</p></td></tr><tr><td>THERMAL_LINES</td><td>DOUBLE</td><td><p>Number of product lines for the thermal band.</p></td></tr><tr><td>THERMAL_SAMPLES</td><td>DOUBLE</td><td><p>Number of product samples for the thermal band.</p></td></tr><tr><td>UTM_ZONE</td><td>DOUBLE</td><td><p>UTM zone number used in product map projection.</p></td></tr><tr><td>WRS_PATH</td><td>DOUBLE</td><td><p>The WRS orbital path number (001 - 251).</p></td></tr><tr><td>WRS_ROW</td><td>DOUBLE</td><td><p>Landsat satellite WRS row (001-248).</p></td></tr></table><p><b>Terms of Use</b><br><p>Landsat datasets are federally created data\nand therefore reside in the public domain and may be used, transferred, or reproduced without copyright restriction.</p><p>Acknowledgement or credit of the USGS as data source should be provided\nby including a line of text citation such as the example shown below.</p><p>(Product, Image, Photograph, or Dataset Name) courtesy of\nthe U.S. Geological Survey</p><p>Example: Landsat-7 image courtesy of the U.S. Geological Survey</p><p>See the\n<a href="https://www.usgs.gov/information-policies-and-instructions/usgs-visual-identity-system">USGS Visual Identity System Guidance</a>\nfor further details on proper citation and acknowledgement of USGS products.</p><style>\n  table.eecat {\n  border: 1px solid black;\n  border-collapse: collapse;\n  font-size: 13px;\n  }\n  table.eecat td, tr, th {\n  text-align: left; vertical-align: top;\n  border: 1px solid gray; padding: 3px;\n  }\n  td.nobreak { white-space: nowrap; }\n</style>','source_tags': ['landsat', 'usgs', 'landsat', 'usgs'],'visualization_1_name': 'Near Infrared (432)','title': 'USGS Landsat 5 TM Collection 1 Tier 1 Raw Scenes','visualization_0_gain': '1.4,1.2,1.0','system:visualization_0_gain': '1.4,1.2,1.0','product_tags': ['global','tm','SATURATION_BAND_7': 'Y','GROUND_CONTROL_POINTS_MODEL': 113,'SPACECRAFT_ID': 'LANDSAT_5','ELEVATION_SOURCE': 'GLS2000','THERMAL_SAMPLES': 7891,'GROUND_CONTROL_POINTS_VERIFY': 2132}}]}

三、学习小结：

1. 学习了通过行列号查询影像数据
2. 学习了ImageCollection.reduceColumns()函数
3. 学习了e.ImageCollection.aggregate_stats()函数
4. 学习了对于影像数据集的查询方法

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