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
2001-04-19 09:03:02	ga_ls7e_ard_3-1-0_089081_2001-04-18_final
2002-01-23 10:45:15	ga_ls7e_ard_3-1-0_106077_2002-01-23_final
2002-02-07 11:40:53	ga_ls7e_ard_3-1-0_115077_2002-02-07_final
2002-06-25 09:04:33	ga_ls7e_ard_3-1-0_089089_2002-06-24_final
2002-08-27 09:56:07	ga_ls7e_ard_3-1-0_098080_2002-08-27_final
2002-11-23 09:07:14	ga_ls7e_ard_3-1-0_090081_2002-11-22_final
2003-03-24 09:01:33	ga_ls7e_ard_3-1-0_089081_2003-03-23_final
2004-03-30 10:13:57	ga_ls7e_ard_3-1-0_101075_2004-03-30_final
2004-09-12 11:17:56	ga_ls7e_ard_3-1-0_111082_2004-09-12_final
2004-10-11 10:44:54	ga_ls7e_ard_3-1-0_106077_2004-10-11_final
2005-07-31 11:05:55	ga_ls7e_ard_3-1-0_109081_2005-07-31_final
2006-02-17 11:00:48	ga_ls7e_ard_3-1-0_108082_2006-02-17_final
2006-06-08 10:14:43	ga_ls7e_ard_3-1-0_101075_2006-06-08_final
2006-09-17 10:30:45	ga_ls7e_ard_3-1-0_104070_2006-09-17_final
2006-09-20 11:06:01	ga_ls7e_ard_3-1-0_109081_2006-09-20_final
2006-10-10 10:40:47	ga_ls7e_ard_3-1-0_105080_2006-10-10_final
2006-12-09 11:06:39	ga_ls7e_ard_3-1-0_109081_2006-12-09_final
2007-10-06 10:30:53	ga_ls7e_ard_3-1-0_104070_2007-10-06_final
2007-10-18 11:00:33	ga_ls7e_ard_3-1-0_108082_2007-10-18_final
2008-08-06 11:18:30	ga_ls7e_ard_3-1-0_111082_2008-08-06_final
2009-05-15 10:15:07	ga_ls7e_ard_3-1-0_101075_2009-05-15_final
2009-09-26 11:19:25	ga_ls7e_ard_3-1-0_111082_2009-09-26_final
2010-06-14 10:00:16	ga_ls7e_ard_3-1-0_098080_2010-06-14_final
2010-07-09 09:52:34	ga_ls7e_ard_3-1-0_097076_2010-07-09_final
2010-10-31 11:21:48	ga_ls7e_ard_3-1-0_111082_2010-10-31_final
2010-11-11 11:00:37	ga_ls7e_ard_3-1-0_108075_2010-11-11_final
2010-12-23 10:01:13	ga_ls7e_ard_3-1-0_098080_2010-12-23_final
2011-01-05 09:31:39	ga_ls7e_ard_3-1-0_093083_2011-01-05_final
2011-03-31 11:29:52	ga_ls7e_ard_3-1-0_112084_2011-03-31_final
2012-10-08 09:15:43	ga_ls7e_ard_3-1-0_091068_2012-10-07_final
2014-02-07 09:29:56	ga_ls7e_ard_3-1-0_092085_2014-02-06_final
2014-08-19 11:49:39	ga_ls7e_ard_3-1-0_115077_2014-08-19_final
2014-10-12 11:14:29	ga_ls7e_ard_3-1-0_109081_2014-10-12_final
2015-07-16 11:36:00	ga_ls7e_ard_3-1-0_112084_2015-07-16_final
2016-04-05 10:43:24	ga_ls7e_ard_3-1-0_104070_2016-04-05_final
2016-07-16 10:10:42	ga_ls7e_ard_3-1-0_098080_2016-07-16_final
2017-01-03 11:31:33	ga_ls7e_ard_3-1-0_111082_2017-01-03_final
2017-02-22 11:18:32	ga_ls7e_ard_3-1-0_109081_2017-02-22_final
2017-04-06 09:22:57	ga_ls7e_ard_3-1-0_090085_2017-04-05_final
2017-06-07 11:13:19	ga_ls7e_ard_3-1-0_108082_2017-06-07_final
2017-08-28 09:23:18	ga_ls7e_ard_3-1-0_090085_2017-08-27_final
2018-12-10 11:12:23	ga_ls7e_ard_3-1-0_109081_2018-12-10_final
2019-01-11 09:34:57	ga_ls7e_ard_3-1-0_093087_2019-01-11_final
2019-02-23 09:11:53	ga_ls7e_ard_3-1-0_090079_2019-02-22_final
2019-02-25 10:37:33	ga_ls7e_ard_3-1-0_104077_2019-02-25_final
2019-03-05 09:49:27	ga_ls7e_ard_3-1-0_096081_2019-03-05_final
2019-03-10 11:45:07	ga_ls7e_ard_3-1-0_115077_2019-03-10_final
2019-03-11 10:47:28	ga_ls7e_ard_3-1-0_106072_2019-03-11_final
2019-08-28 11:19:20	ga_ls7e_ard_3-1-0_112075_2019-08-28_final
2019-09-05 10:31:56	ga_ls7e_ard_3-1-0_104081_2019-09-05_final
2019-09-28 10:32:43	ga_ls7e_ard_3-1-0_105070_2019-09-28_final
2019-10-01 11:07:29	ga_ls7e_ard_3-1-0_110080_2019-10-01_final
2019-10-07 10:26:34	ga_ls7e_ard_3-1-0_104071_2019-10-07_final
2019-10-12 10:45:42	ga_ls7e_ard_3-1-0_107073_2019-10-12_final
2019-10-25 10:15:03	ga_ls7e_ard_3-1-0_102075_2019-10-25_final
2019-10-28 09:09:20	ga_ls7e_ard_3-1-0_091081_2019-10-27_final
2019-10-30 10:32:34	ga_ls7e_ard_3-1-0_105073_2019-10-30_final
2019-10-30 10:35:22	ga_ls7e_ard_3-1-0_105080_2019-10-30_final
2019-11-04 09:14:00	ga_ls7e_ard_3-1-0_092078_2019-11-03_final
2019-11-07 09:43:58	ga_ls7e_ard_3-1-0_097076_2019-11-07_final
2019-11-09 11:07:12	ga_ls7e_ard_3-1-0_111068_2019-11-09_final
2019-11-09 11:13:35	ga_ls7e_ard_3-1-0_111084_2019-11-09_final
2019-11-18 11:05:24	ga_ls7e_ard_3-1-0_110080_2019-11-18_final
2019-11-25 11:09:39	ga_ls7e_ard_3-1-0_111076_2019-11-25_final
2019-11-27 09:19:54	ga_ls7e_ard_3-1-0_093080_2019-11-26_final
2019-12-07 09:56:54	ga_ls7e_ard_3-1-0_099081_2019-12-07_final
2019-12-14 10:03:31	ga_ls7e_ard_3-1-0_100083_2019-12-14_final
2019-12-22 09:13:16	ga_ls7e_ard_3-1-0_092082_2019-12-21_final
2019-12-31 10:42:43	ga_ls7e_ard_3-1-0_107075_2019-12-31_final
2020-01-09 10:36:52	ga_ls7e_ard_3-1-0_106077_2020-01-09_final
2020-01-17 09:48:38	ga_ls7e_ard_3-1-0_098081_2020-01-17_final
2020-01-17 11:25:55	ga_ls7e_ard_3-1-0_114077_2020-01-17_final
2020-01-19 09:35:22	ga_ls7e_ard_3-1-0_096079_2020-01-19_final
2020-02-06 09:24:30	ga_ls7e_ard_3-1-0_094085_2020-02-05_final
2020-02-18 09:44:37	ga_ls7e_ard_3-1-0_098075_2020-02-18_final
2020-02-22 09:23:16	ga_ls7e_ard_3-1-0_094084_2020-02-21_final
2020-02-25 09:50:01	ga_ls7e_ard_3-1-0_099074_2020-02-25_final
2020-03-02 09:15:49	ga_ls7e_ard_3-1-0_093082_2020-03-01_final
2020-03-05 09:46:33	ga_ls7e_ard_3-1-0_098082_2020-03-05_final
2020-03-09 09:22:25	ga_ls7e_ard_3-1-0_094084_2020-03-08_final
2020-03-20 09:02:28	ga_ls7e_ard_3-1-0_091082_2020-03-19_final
2020-03-21 09:45:17	ga_ls7e_ard_3-1-0_098081_2020-03-21_final
2020-03-24 10:15:13	ga_ls7e_ard_3-1-0_103079_2020-03-24_final
2020-04-02 10:06:32	ga_ls7e_ard_3-1-0_102074_2020-04-02_final
2020-04-04 09:56:51	ga_ls7e_ard_3-1-0_100081_2020-04-04_final
2020-04-16 10:19:17	ga_ls7e_ard_3-1-0_104077_2020-04-16_final
2021-02-26 08:47:27	ga_ls7e_ard_3-2-0_092085_2021-02-25_final
2021-03-31 11:03:46	ga_ls7e_ard_3-2-0_115077_2021-03-31_final
2021-05-20 09:09:08	ga_ls7e_ard_3-2-0_097079_2021-05-19_final
2021-05-26 10:08:02	ga_ls7e_ard_3-2-0_107073_2021-05-26_final
2021-05-26 10:10:25	ga_ls7e_ard_3-2-0_107079_2021-05-26_final
2021-06-10 09:25:55	ga_ls7e_ard_3-2-0_100079_2021-06-09_final
2021-06-23 08:51:57	ga_ls7e_ard_3-2-0_095074_2021-06-22_final
2021-06-26 09:25:24	ga_ls7e_ard_3-2-0_100081_2021-06-25_final
2022-03-13 08:33:47	ga_ls7e_ard_3-2-1_096074_2022-03-12_final
2022-03-19 09:36:34	ga_ls7e_ard_3-2-1_106078_2022-03-19_final
2022-03-23 09:11:29	ga_ls7e_ard_3-2-1_102078_2022-03-22_final
2022-03-25 09:00:08	ga_ls7e_ard_3-2-1_100081_2022-03-24_final
2022-03-28 09:29:09	ga_ls7e_ard_3-2-1_105077_2022-03-27_final
2022-04-02 09:44:01	ga_ls7e_ard_3-2-1_108069_2022-04-02_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