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
2000-04-13 11:50:54	ga_ls7e_ard_3-0-0_116078_2000-04-13_final
2000-04-22 11:44:18	ga_ls7e_ard_3-1-0_115077_2000-04-22_final
2000-11-16 11:41:57	ga_ls7e_ard_3-0-0_115076_2000-11-16_final
2004-05-28 11:34:59	ga_ls7e_ard_3-0-0_114077_2004-05-28_final
2004-08-07 11:40:48	ga_ls7e_ard_3-0-0_115077_2004-08-07_final
2004-12-22 11:34:18	ga_ls7e_ard_3-0-0_114075_2004-12-22_final
2005-01-07 11:34:24	ga_ls7e_ard_3-0-0_114075_2005-01-07_final
2005-04-06 11:31:40	ga_ls7e_ard_3-0-0_113083_2005-04-06_final
2005-04-13 11:36:12	ga_ls7e_ard_3-0-0_114079_2005-04-13_final
2005-08-03 11:35:37	ga_ls7e_ard_3-0-0_114078_2005-08-03_final
2005-10-29 11:42:07	ga_ls7e_ard_3-0-0_115079_2005-10-29_final
2005-12-02 11:32:02	ga_ls7e_ard_3-0-0_113084_2005-12-02_final
2006-05-25 11:42:04	ga_ls7e_ard_3-1-0_115077_2006-05-25_final
2006-08-06 11:36:42	ga_ls7e_ard_3-1-0_114080_2006-08-06_final
2007-05-05 11:35:27	ga_ls7e_ard_3-0-0_114075_2007-05-05_final
2007-05-28 11:41:52	ga_ls7e_ard_3-0-0_115076_2007-05-28_final
2008-05-23 11:34:58	ga_ls7e_ard_3-0-0_114075_2008-05-23_final
2009-03-14 11:41:21	ga_ls7e_ard_3-0-0_115075_2009-03-14_final
2009-05-10 11:35:27	ga_ls7e_ard_3-0-0_114075_2009-05-10_final
2009-11-09 11:42:08	ga_ls7e_ard_3-0-0_115076_2009-11-09_final
2010-04-11 11:38:02	ga_ls7e_ard_3-0-0_114077_2010-04-11_final
2010-06-30 11:37:13	ga_ls7e_ard_3-0-0_114075_2010-06-30_final
2011-10-30 11:44:34	ga_ls7e_ard_3-0-0_115075_2011-10-30_final
2012-03-06 11:45:18	ga_ls7e_ard_3-0-0_115075_2012-03-06_final
2012-09-23 11:37:21	ga_ls7e_ard_3-0-0_114067_2012-09-23_final
2012-09-23 11:41:20	ga_ls7e_ard_3-0-0_114077_2012-09-23_final
2013-01-04 11:46:58	ga_ls7e_ard_3-0-0_115074_2013-01-04_final
2013-10-28 11:37:54	ga_ls7e_ard_3-0-0_114067_2013-10-28_final
2013-12-15 11:41:22	ga_ls7e_ard_3-0-0_114075_2013-12-15_final
2014-01-16 11:43:13	ga_ls7e_ard_3-0-0_114079_2014-01-16_final
2014-10-15 11:42:36	ga_ls7e_ard_3-0-0_114074_2014-10-15_final
2014-11-09 11:40:17	ga_ls7e_ard_3-0-0_113083_2014-11-09_final
2015-09-16 11:44:34	ga_ls7e_ard_3-0-0_114074_2015-09-16_final
2016-11-05 11:48:51	ga_ls7e_ard_3-0-0_114078_2016-11-05_final
2017-02-02 11:44:02	ga_ls7e_ard_3-0-0_113083_2017-02-02_final
2017-03-06 11:44:09	ga_ls7e_ard_3-0-0_113083_2017-03-06_final
2017-09-12 11:54:12	ga_ls7e_ard_3-0-0_115076_2017-09-12_final
2017-12-10 11:47:03	ga_ls7e_ard_3-0-0_114074_2017-12-10_final
2018-01-11 11:47:27	ga_ls7e_ard_3-0-0_114076_2018-01-11_final
2018-02-28 11:47:12	ga_ls7e_ard_3-0-0_114077_2018-02-28_final
2018-12-29 11:39:57	ga_ls7e_ard_3-0-0_114074_2018-12-29_final
2019-03-03 11:38:22	ga_ls7e_ard_3-1-0_114075_2019-03-03_final
2019-07-09 11:33:44	ga_ls7e_ard_3-0-0_114075_2019-07-09_final
2019-10-04 11:36:40	ga_ls7e_ard_3-1-0_115076_2019-10-04_final
2020-02-11 11:20:52	ga_ls7e_ard_3-1-0_113083_2020-02-11_final
2020-03-21 11:21:46	ga_ls7e_ard_3-1-0_114075_2020-03-21_final
2020-04-29 11:27:17	ga_ls7e_ard_3-1-0_115079_2020-04-29_final
2020-11-28 09:51:26	ga_ls7e_ard_3-1-0_102074_2020-11-28_final
2020-11-29 10:34:38	ga_ls7e_ard_3-1-0_109074_2020-11-29_final
2020-12-01 08:46:50	ga_ls7e_ard_3-1-0_091083_2020-11-30_final
2020-12-06 10:43:53	ga_ls7e_ard_3-1-0_110083_2020-12-06_final
2020-12-15 08:54:57	ga_ls7e_ard_3-1-0_093075_2020-12-14_final
2020-12-22 10:40:16	ga_ls7e_ard_3-1-0_110077_2020-12-22_final
2021-01-15 09:49:10	ga_ls7e_ard_3-1-0_102077_2021-01-15_final
2021-01-19 11:01:51	ga_ls7e_ard_3-1-0_114074_2021-01-19_final
2021-01-26 11:07:55	ga_ls7e_ard_3-2-0_115075_2021-01-26_final
2021-01-28 10:58:36	ga_ls7e_ard_3-2-0_113083_2021-01-28_final
2021-02-14 09:59:44	ga_ls7e_ard_3-2-0_104078_2021-02-14_final
2021-02-21 10:04:11	ga_ls7e_ard_3-2-0_105075_2021-02-21_final
2021-02-25 09:41:57	ga_ls7e_ard_3-2-0_101082_2021-02-25_final
2021-02-26 08:47:03	ga_ls7e_ard_3-2-0_092084_2021-02-25_final
2021-03-30 08:44:07	ga_ls7e_ard_3-2-0_092083_2021-03-29_final
2021-03-31 11:02:35	ga_ls7e_ard_3-2-0_115074_2021-03-31_final
2021-04-02 10:53:39	ga_ls7e_ard_3-2-0_113083_2021-04-02_final
2021-04-17 08:32:39	ga_ls7e_ard_3-2-0_090089_2021-04-16_final
2021-04-27 09:06:53	ga_ls7e_ard_3-2-0_096084_2021-04-26_final
2021-04-28 09:44:04	ga_ls7e_ard_3-2-0_103069_2021-04-28_final
2021-05-03 08:29:42	ga_ls7e_ard_3-2-0_090085_2021-05-02_final
2021-05-12 08:21:59	ga_ls7e_ard_3-2-0_089083_2021-05-11_final
2021-05-18 09:22:52	ga_ls7e_ard_3-2-0_099082_2021-05-17_final
2021-05-23 09:36:12	ga_ls7e_ard_3-2-0_102070_2021-05-23_final
2021-06-04 10:02:41	ga_ls7e_ard_3-2-0_106077_2021-06-04_final
2021-06-15 09:39:40	ga_ls7e_ard_3-2-0_103068_2021-06-15_final
2021-06-20 08:24:30	ga_ls7e_ard_3-2-0_090082_2021-06-19_final
2021-07-06 09:58:27	ga_ls7e_ard_3-2-0_106073_2021-07-06_final
2021-07-23 09:03:22	ga_ls7e_ard_3-2-0_097078_2021-07-22_final
2021-08-09 09:41:08	ga_ls7e_ard_3-2-0_104068_2021-08-09_final
2021-08-19 10:18:56	ga_ls7e_ard_3-2-0_110072_2021-08-19_final
2021-09-03 09:36:46	ga_ls7e_ard_3-2-0_103078_2021-09-03_final
2021-09-11 10:21:31	ga_ls7e_ard_3-2-0_111068_2021-09-11_final
2021-09-27 08:48:23	ga_ls7e_ard_3-2-0_095086_2021-09-26_final
2021-10-01 08:24:31	ga_ls7e_ard_3-2-0_091089_2021-09-30_final
2021-10-17 08:19:55	ga_ls7e_ard_3-2-0_091081_2021-10-16_final
2021-11-03 08:58:01	ga_ls7e_ard_3-2-0_098072_2021-11-02_final
2021-11-28 10:31:30	ga_ls7e_ard_3-2-1_113080_2021-11-28_final
2021-12-01 09:20:27	ga_ls7e_ard_3-2-1_102073_2021-11-30_final
2021-12-02 08:25:56	ga_ls7e_ard_3-2-1_093076_2021-12-01_final
2021-12-07 08:42:48	ga_ls7e_ard_3-2-1_096073_2021-12-06_final
2021-12-11 10:00:34	ga_ls7e_ard_3-2-1_108083_2021-12-11_final
2021-12-13 08:09:09	ga_ls7e_ard_3-2-1_090083_2021-12-12_final
2021-12-14 08:49:55	ga_ls7e_ard_3-2-1_097077_2021-12-13_final
2021-12-23 08:40:52	ga_ls7e_ard_3-2-1_096072_2021-12-22_final
2021-12-31 09:29:30	ga_ls7e_ard_3-2-1_104072_2021-12-30_final
2022-01-12 09:54:15	ga_ls7e_ard_3-2-1_108075_2022-01-12_final
2022-01-30 08:06:52	ga_ls7e_ard_3-2-1_090089_2022-01-29_final
2022-02-22 09:44:25	ga_ls7e_ard_3-2-1_107076_2022-02-22_final
2022-03-04 10:22:08	ga_ls7e_ard_3-2-1_113080_2022-03-04_final
2022-03-10 09:42:04	ga_ls7e_ard_3-2-1_107074_2022-03-10_final
2022-03-11 10:25:37	ga_ls7e_ard_3-2-1_114075_2022-03-11_final
2022-04-02 08:13:07	ga_ls7e_ard_3-2-1_092089_2022-04-01_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years