Search ga_ls7e_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
1999-08-14 09:42:28	ga_ls7e_ard_3-0-0_095080_1999-08-14_final
1999-09-27 11:44:12	ga_ls7e_ard_3-0-0_115075_1999-09-27_final
2000-05-24 11:43:34	ga_ls7e_ard_3-0-0_115076_2000-05-24_final
2002-07-21 09:38:17	ga_ls7e_ard_3-0-0_095081_2002-07-21_final
2003-01-29 09:39:18	ga_ls7e_ard_3-0-0_095083_2003-01-29_final
2003-03-18 09:39:06	ga_ls7e_ard_3-0-0_095082_2003-03-18_final
2005-07-25 11:41:25	ga_ls7e_ard_3-0-0_115077_2005-07-25_final
2005-11-02 09:40:09	ga_ls7e_ard_3-0-0_095083_2005-11-02_final
2006-02-22 09:37:17	ga_ls7e_ard_3-0-0_095074_2006-02-22_final
2006-08-01 09:39:41	ga_ls7e_ard_3-0-0_095081_2006-08-01_final
2006-09-02 09:39:36	ga_ls7e_ard_3-0-0_095081_2006-09-02_final
2006-09-30 11:41:26	ga_ls7e_ard_3-1-0_115077_2006-09-30_final
2006-10-25 11:35:52	ga_ls7e_ard_3-0-0_114078_2006-10-25_final
2006-12-12 11:36:47	ga_ls7e_ard_3-1-0_114079_2006-12-12_final
2007-02-25 09:41:40	ga_ls7e_ard_3-0-0_095084_2007-02-25_final
2007-11-13 11:36:43	ga_ls7e_ard_3-0-0_114079_2007-11-13_final
2008-05-18 09:37:11	ga_ls7e_ard_3-0-0_095074_2008-05-18_final
2008-05-23 11:36:10	ga_ls7e_ard_3-0-0_114078_2008-05-23_final
2008-05-30 11:41:53	ga_ls7e_ard_3-1-0_115077_2008-05-30_final
2008-11-26 09:38:29	ga_ls7e_ard_3-1-0_095079_2008-11-26_final
2009-02-14 09:41:29	ga_ls7e_ard_3-0-0_095085_2009-02-14_final
2009-07-13 11:37:21	ga_ls7e_ard_3-0-0_114080_2009-07-13_final
2009-12-27 11:43:13	ga_ls7e_ard_3-1-0_115077_2009-12-27_final
2010-06-25 09:42:10	ga_ls7e_ard_3-0-0_095081_2010-06-25_final
2010-08-28 09:39:52	ga_ls7e_ard_3-0-0_095075_2010-08-28_final
2011-02-20 09:41:28	ga_ls7e_ard_3-0-0_095076_2011-02-20_final
2011-09-05 11:39:34	ga_ls7e_ard_3-0-0_114078_2011-09-05_final
2011-09-05 11:40:21	ga_ls7e_ard_3-0-0_114080_2011-09-05_final
2011-09-28 11:44:03	ga_ls7e_ard_3-0-0_115074_2011-09-28_final
2011-11-15 11:45:34	ga_ls7e_ard_3-1-0_115077_2011-11-15_final
2012-01-22 09:41:36	ga_ls7e_ard_3-0-0_095075_2012-01-22_final
2012-03-10 09:41:41	ga_ls7e_ard_3-0-0_095075_2012-03-10_final
2012-06-30 09:45:45	ga_ls7e_ard_3-0-0_095084_2012-06-30_final
2012-09-18 09:43:03	ga_ls7e_ard_3-0-0_095075_2012-09-18_final
2013-01-24 09:48:11	ga_ls7e_ard_3-0-0_095086_2013-01-24_final
2013-01-29 11:42:50	ga_ls7e_ard_3-0-0_114079_2013-01-29_final
2013-02-25 09:43:21	ga_ls7e_ard_3-0-0_095074_2013-02-25_final
2014-04-01 09:48:58	ga_ls7e_ard_3-0-0_095086_2014-04-01_final
2014-10-06 11:50:43	ga_ls7e_ard_3-0-0_115079_2014-10-06_final
2014-12-18 11:45:32	ga_ls7e_ard_3-0-0_114080_2014-12-18_final
2015-05-06 09:50:55	ga_ls7e_ard_3-0-0_095085_2015-05-06_final
2015-10-13 09:50:33	ga_ls7e_ard_3-0-0_095082_2015-10-13_final
2016-07-11 09:54:09	ga_ls7e_ard_3-0-0_095085_2016-07-11_final
2016-11-28 11:54:07	ga_ls7e_ard_3-0-0_115076_2016-11-28_final
2016-12-02 09:49:18	ga_ls7e_ard_3-1-0_095073_2016-12-02_final
2017-03-20 11:53:48	ga_ls7e_ard_3-0-0_115076_2017-03-20_final
2018-01-22 09:53:27	ga_ls7e_ard_3-0-0_095085_2018-01-22_final
2018-05-30 09:50:47	ga_ls7e_ard_3-0-0_095083_2018-05-30_final
2018-09-19 09:49:01	ga_ls7e_ard_3-0-0_095084_2018-09-19_final
2020-01-08 11:32:32	ga_ls7e_ard_3-1-0_115077_2020-01-08_final
2020-12-13 09:07:04	ga_ls7e_ard_3-1-0_095074_2020-12-12_final
2021-02-20 09:17:48	ga_ls7e_ard_3-2-0_098067_2021-02-19_final
2021-03-10 09:08:50	ga_ls7e_ard_3-2-0_096079_2021-03-09_final
2021-03-20 09:43:08	ga_ls7e_ard_3-2-0_102074_2021-03-20_final
2021-03-25 10:03:16	ga_ls7e_ard_3-2-0_105079_2021-03-25_final
2021-03-26 09:05:58	ga_ls7e_ard_3-2-0_096075_2021-03-25_final
2021-03-30 08:44:07	ga_ls7e_ard_3-2-0_092083_2021-03-29_final
2021-04-17 10:04:45	ga_ls7e_ard_3-2-0_106072_2021-04-17_final
2021-04-22 10:22:28	ga_ls7e_ard_3-2-0_109071_2021-04-22_final
2021-05-06 08:59:09	ga_ls7e_ard_3-2-0_095082_2021-05-05_final
2021-05-06 10:35:38	ga_ls7e_ard_3-2-0_111076_2021-05-06_final
2021-05-19 10:05:15	ga_ls7e_ard_3-2-0_106080_2021-05-19_final
2021-06-18 08:36:13	ga_ls7e_ard_3-2-0_092080_2021-06-17_final
2021-06-24 09:35:32	ga_ls7e_ard_3-2-0_102075_2021-06-24_final
2021-07-13 08:29:33	ga_ls7e_ard_3-2-0_091084_2021-07-12_final
2021-07-20 08:33:32	ga_ls7e_ard_3-2-0_092080_2021-07-19_final
2021-08-08 10:40:02	ga_ls7e_ard_3-2-0_113076_2021-08-08_final
2021-08-15 09:04:19	ga_ls7e_ard_3-2-0_098070_2021-08-14_final
2021-08-16 09:51:29	ga_ls7e_ard_3-2-0_105080_2021-08-16_final
2021-08-17 10:34:39	ga_ls7e_ard_3-2-0_112080_2021-08-17_final
2021-08-22 09:13:53	ga_ls7e_ard_3-2-0_099080_2021-08-21_final
2021-09-06 10:07:48	ga_ls7e_ard_3-2-0_108079_2021-09-06_final
2021-09-18 08:49:00	ga_ls7e_ard_3-2-0_096070_2021-09-17_final
2021-09-22 08:29:30	ga_ls7e_ard_3-2-0_092084_2021-09-21_final
2021-09-25 08:59:20	ga_ls7e_ard_3-2-0_097082_2021-09-24_final
2021-09-29 10:08:44	ga_ls7e_ard_3-2-0_109071_2021-09-29_final
2021-10-05 09:30:21	ga_ls7e_ard_3-2-0_103069_2021-10-05_final
2021-10-13 08:39:24	ga_ls7e_ard_3-2-0_095067_2021-10-12_final
2021-11-05 08:48:16	ga_ls7e_ard_3-2-0_096079_2021-11-04_final
2021-11-08 09:16:53	ga_ls7e_ard_3-2-0_101074_2021-11-07_final
2021-11-17 09:10:13	ga_ls7e_ard_3-2-1_100075_2021-11-16_final
2021-11-18 08:17:18	ga_ls7e_ard_3-2-1_091082_2021-11-17_final
2021-11-18 09:53:47	ga_ls7e_ard_3-2-1_107076_2021-11-18_final
2021-12-13 08:11:56	ga_ls7e_ard_3-2-1_090090_2021-12-12_final
2021-12-16 10:18:38	ga_ls7e_ard_3-2-1_111083_2021-12-16_final
2021-12-20 08:15:03	ga_ls7e_ard_3-2-1_091084_2021-12-19_final
2021-12-23 10:24:32	ga_ls7e_ard_3-2-1_112084_2021-12-23_final
2022-01-03 08:26:00	ga_ls7e_ard_3-2-1_093084_2022-01-02_final
2022-01-10 10:08:48	ga_ls7e_ard_3-2-1_110080_2022-01-10_final
2022-01-26 08:29:35	ga_ls7e_ard_3-2-1_094083_2022-01-25_final
2022-02-06 08:12:44	ga_ls7e_ard_3-2-1_091090_2022-02-05_final
2022-02-08 09:31:28	ga_ls7e_ard_3-2-1_105071_2022-02-08_final
2022-02-09 08:40:32	ga_ls7e_ard_3-2-1_096083_2022-02-08_final
2022-02-13 09:51:29	ga_ls7e_ard_3-2-1_108076_2022-02-13_final
2022-02-18 10:07:55	ga_ls7e_ard_3-2-1_111072_2022-02-18_final
2022-03-06 10:09:59	ga_ls7e_ard_3-2-1_111081_2022-03-06_final
2022-03-09 09:00:54	ga_ls7e_ard_3-2-1_100079_2022-03-08_final
2022-03-19 09:34:59	ga_ls7e_ard_3-2-1_106074_2022-03-19_final
2022-03-22 10:06:48	ga_ls7e_ard_3-2-1_111077_2022-03-22_final
2022-03-23 09:09:53	ga_ls7e_ard_3-2-1_102074_2022-03-22_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years