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
2000-10-15 09:59:38	ga_ls7e_ard_3-0-0_099068_2000-10-15_final
2001-01-12 09:54:13	ga_ls7e_ard_3-0-0_098069_2001-01-12_final
2001-01-13 10:37:05	ga_ls7e_ard_3-0-0_105068_2001-01-13_final
2001-01-13 10:37:29	ga_ls7e_ard_3-0-0_105069_2001-01-13_final
2001-01-15 10:24:44	ga_ls7e_ard_3-0-0_103068_2001-01-15_final
2011-10-18 11:17:00	ga_ls7e_ard_3-0-0_111068_2011-10-18_final
2011-10-19 10:21:23	ga_ls7e_ard_3-0-0_102068_2011-10-19_final
2011-10-19 10:21:47	ga_ls7e_ard_3-0-0_102069_2011-10-19_final
2011-11-20 10:21:42	ga_ls7e_ard_3-0-0_102068_2011-11-20_final
2011-11-20 10:22:06	ga_ls7e_ard_3-0-0_102069_2011-11-20_final
2011-11-24 09:57:02	ga_ls7e_ard_3-0-0_098068_2011-11-24_final
2011-11-24 09:57:25	ga_ls7e_ard_3-0-0_098069_2011-11-24_final
2012-03-18 10:28:22	ga_ls7e_ard_3-0-0_103068_2012-03-18_final
2012-03-18 10:28:46	ga_ls7e_ard_3-0-0_103069_2012-03-18_final
2012-03-25 10:34:33	ga_ls7e_ard_3-0-0_104068_2012-03-25_final
2012-03-25 10:34:57	ga_ls7e_ard_3-0-0_104069_2012-03-25_final
2012-03-27 10:22:12	ga_ls7e_ard_3-0-0_102068_2012-03-27_final
2012-03-27 10:22:36	ga_ls7e_ard_3-0-0_102069_2012-03-27_final
2012-04-28 10:22:27	ga_ls7e_ard_3-0-0_102068_2012-04-28_final
2012-04-28 10:22:51	ga_ls7e_ard_3-0-0_102069_2012-04-28_final
2016-05-13 10:05:45	ga_ls7e_ard_3-0-0_098068_2016-05-13_final
2016-05-13 10:06:09	ga_ls7e_ard_3-0-0_098069_2016-05-13_final
2016-05-14 10:49:00	ga_ls7e_ard_3-0-0_105068_2016-05-14_final
2016-05-14 10:49:24	ga_ls7e_ard_3-0-0_105069_2016-05-14_final
2016-05-16 10:36:39	ga_ls7e_ard_3-0-0_103068_2016-05-16_final
2016-12-13 11:08:00	ga_ls7e_ard_3-0-0_108069_2016-12-13_final
2016-12-14 10:12:22	ga_ls7e_ard_3-0-0_099069_2016-12-14_final
2016-12-15 10:55:14	ga_ls7e_ard_3-0-0_106068_2016-12-15_final
2016-12-15 10:55:38	ga_ls7e_ard_3-0-0_106069_2016-12-15_final
2017-02-25 10:05:24	ga_ls7e_ard_3-0-0_098068_2017-02-25_final
2017-02-26 10:48:40	ga_ls7e_ard_3-0-0_105068_2017-02-26_final
2017-02-26 10:49:04	ga_ls7e_ard_3-0-0_105069_2017-02-26_final
2017-04-24 10:42:50	ga_ls7e_ard_3-0-0_104068_2017-04-24_final
2017-04-24 10:43:14	ga_ls7e_ard_3-0-0_104069_2017-04-24_final
2017-04-25 11:26:06	ga_ls7e_ard_3-0-0_111068_2017-04-25_final
2017-08-04 10:06:23	ga_ls7e_ard_3-0-0_098069_2017-08-04_final
2017-08-05 10:49:14	ga_ls7e_ard_3-0-0_105068_2017-08-05_final
2017-08-05 10:49:38	ga_ls7e_ard_3-0-0_105069_2017-08-05_final
2017-08-07 10:36:52	ga_ls7e_ard_3-0-0_103068_2017-08-07_final
2017-08-07 10:37:16	ga_ls7e_ard_3-0-0_103069_2017-08-07_final
2018-04-02 10:47:34	ga_ls7e_ard_3-0-0_105068_2018-04-02_final
2018-04-02 10:47:58	ga_ls7e_ard_3-0-0_105069_2018-04-02_final
2018-04-20 10:34:55	ga_ls7e_ard_3-0-0_103068_2018-04-20_final
2018-04-20 10:35:19	ga_ls7e_ard_3-0-0_103069_2018-04-20_final
2018-05-19 10:03:55	ga_ls7e_ard_3-0-0_098069_2018-05-19_final
2018-05-20 10:46:45	ga_ls7e_ard_3-0-0_105068_2018-05-20_final
2018-05-22 10:34:22	ga_ls7e_ard_3-0-0_103068_2018-05-22_final
2018-05-22 10:34:46	ga_ls7e_ard_3-0-0_103069_2018-05-22_final
2018-05-25 11:05:37	ga_ls7e_ard_3-0-0_108069_2018-05-25_final
2018-06-14 10:40:09	ga_ls7e_ard_3-0-0_104068_2018-06-14_final
2018-06-14 10:40:33	ga_ls7e_ard_3-0-0_104069_2018-06-14_final
2018-06-15 11:23:24	ga_ls7e_ard_3-0-0_111068_2018-06-15_final
2018-06-16 10:27:46	ga_ls7e_ard_3-0-0_102068_2018-06-16_final
2018-06-16 10:28:10	ga_ls7e_ard_3-0-0_102069_2018-06-16_final
2018-08-10 10:32:55	ga_ls7e_ard_3-0-0_103068_2018-08-10_final
2018-08-23 10:01:46	ga_ls7e_ard_3-0-0_098068_2018-08-23_final
2018-08-23 10:02:10	ga_ls7e_ard_3-0-0_098069_2018-08-23_final
2018-08-24 10:45:00	ga_ls7e_ard_3-0-0_105068_2018-08-24_final
2018-08-26 10:32:36	ga_ls7e_ard_3-0-0_103068_2018-08-26_final
2018-08-26 10:33:00	ga_ls7e_ard_3-0-0_103069_2018-08-26_final
2018-08-29 11:03:50	ga_ls7e_ard_3-0-0_108069_2018-08-29_final
2018-08-30 10:07:48	ga_ls7e_ard_3-0-0_099068_2018-08-30_final
2018-08-31 10:51:02	ga_ls7e_ard_3-0-0_106068_2018-08-31_final
2018-08-31 10:51:26	ga_ls7e_ard_3-0-0_106069_2018-08-31_final
2021-05-30 09:40:58	ga_ls7e_ard_3-2-0_103068_2021-05-30_final
2021-06-06 09:46:34	ga_ls7e_ard_3-2-0_104068_2021-06-06_final
2021-06-07 10:29:45	ga_ls7e_ard_3-2-0_111068_2021-06-07_final
2021-06-08 09:34:03	ga_ls7e_ard_3-2-0_102068_2021-06-08_final
2021-06-13 09:52:11	ga_ls7e_ard_3-2-0_105068_2021-06-13_final
2021-06-15 09:39:40	ga_ls7e_ard_3-2-0_103068_2021-06-15_final
2021-06-19 09:14:37	ga_ls7e_ard_3-2-0_099068_2021-06-18_final
2021-06-20 09:57:47	ga_ls7e_ard_3-2-0_106068_2021-06-20_final
2021-06-22 09:45:16	ga_ls7e_ard_3-2-0_104068_2021-06-22_final
2021-06-23 10:28:27	ga_ls7e_ard_3-2-0_111068_2021-06-23_final
2021-06-28 09:07:41	ga_ls7e_ard_3-2-0_098068_2021-06-27_final
2021-06-29 09:50:52	ga_ls7e_ard_3-2-0_105068_2021-06-29_final
2021-07-01 09:38:20	ga_ls7e_ard_3-2-0_103068_2021-07-01_final
2021-07-05 09:13:17	ga_ls7e_ard_3-2-0_099068_2021-07-04_final
2021-07-08 09:43:55	ga_ls7e_ard_3-2-0_104068_2021-07-08_final
2021-07-09 10:27:06	ga_ls7e_ard_3-2-0_111068_2021-07-09_final
2021-07-31 09:48:07	ga_ls7e_ard_3-2-0_105068_2021-07-31_final
2021-08-02 09:35:35	ga_ls7e_ard_3-2-0_103068_2021-08-02_final
2021-08-06 09:10:30	ga_ls7e_ard_3-2-0_099068_2021-08-05_final
2021-08-07 09:53:41	ga_ls7e_ard_3-2-0_106068_2021-08-07_final
2021-08-09 09:41:08	ga_ls7e_ard_3-2-0_104068_2021-08-09_final
2021-08-10 10:24:19	ga_ls7e_ard_3-2-0_111068_2021-08-10_final
2021-08-11 09:28:36	ga_ls7e_ard_3-2-0_102068_2021-08-10_final
2021-08-15 09:03:31	ga_ls7e_ard_3-2-0_098068_2021-08-14_final
2021-08-16 09:46:42	ga_ls7e_ard_3-2-0_105068_2021-08-16_final
2021-08-18 09:34:09	ga_ls7e_ard_3-2-0_103068_2021-08-18_final
2021-10-14 09:22:58	ga_ls7e_ard_3-2-0_102068_2021-10-13_final
2021-10-18 08:57:54	ga_ls7e_ard_3-2-0_098068_2021-10-17_final
2021-10-19 09:41:04	ga_ls7e_ard_3-2-0_105068_2021-10-19_final
2021-10-21 09:28:31	ga_ls7e_ard_3-2-0_103068_2021-10-20_final
2021-10-25 09:03:26	ga_ls7e_ard_3-2-0_099068_2021-10-24_final
2021-10-26 09:46:36	ga_ls7e_ard_3-2-0_106068_2021-10-26_final
2021-10-28 09:34:04	ga_ls7e_ard_3-2-0_104068_2021-10-28_final
2021-10-29 10:17:14	ga_ls7e_ard_3-2-0_111068_2021-10-29_final
2021-10-30 09:21:31	ga_ls7e_ard_3-2-0_102068_2021-10-29_final
2021-11-03 08:56:25	ga_ls7e_ard_3-2-0_098068_2021-11-02_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years