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:

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First 100 results (query limit)

Time (local)	Label
2011-04-23 09:53:10	ga_ls7e_ard_3-0-0_097074_2011-04-23_final
2011-06-26 09:53:06	ga_ls7e_ard_3-0-0_097074_2011-06-26_final
2011-09-14 09:52:50	ga_ls7e_ard_3-0-0_097074_2011-09-14_final
2012-11-03 09:55:24	ga_ls7e_ard_3-0-0_097074_2012-11-03_final
2012-11-19 09:55:32	ga_ls7e_ard_3-0-0_097074_2012-11-19_final
2012-12-05 09:55:32	ga_ls7e_ard_3-0-0_097074_2012-12-05_final
2012-12-21 09:55:41	ga_ls7e_ard_3-0-0_097074_2012-12-21_final
2013-01-06 09:55:44	ga_ls7e_ard_3-0-0_097074_2013-01-06_final
2013-01-22 09:55:44	ga_ls7e_ard_3-0-0_097074_2013-01-22_final
2013-02-07 09:55:47	ga_ls7e_ard_3-0-0_097074_2013-02-07_final
2013-02-23 09:55:43	ga_ls7e_ard_3-0-0_097074_2013-02-23_final
2013-03-11 09:55:42	ga_ls7e_ard_3-0-0_097074_2013-03-11_final
2013-03-27 09:55:36	ga_ls7e_ard_3-0-0_097074_2013-03-27_final
2013-04-28 09:55:28	ga_ls7e_ard_3-0-0_097074_2013-04-28_final
2013-05-30 09:55:20	ga_ls7e_ard_3-0-0_097074_2013-05-30_final
2013-06-15 09:55:13	ga_ls7e_ard_3-0-0_097074_2013-06-15_final
2013-07-01 09:55:05	ga_ls7e_ard_3-0-0_097074_2013-07-01_final
2013-07-17 09:54:56	ga_ls7e_ard_3-0-0_097074_2013-07-17_final
2013-08-02 09:54:49	ga_ls7e_ard_3-0-0_097074_2013-08-02_final
2013-09-03 09:55:04	ga_ls7e_ard_3-0-0_097074_2013-09-03_final
2013-09-19 09:55:14	ga_ls7e_ard_3-0-0_097074_2013-09-19_final
2013-10-05 09:55:26	ga_ls7e_ard_3-0-0_097074_2013-10-05_final
2013-10-21 09:55:37	ga_ls7e_ard_3-0-0_097074_2013-10-21_final
2013-11-06 09:55:42	ga_ls7e_ard_3-0-0_097074_2013-11-06_final
2013-12-08 09:55:55	ga_ls7e_ard_3-0-0_097074_2013-12-08_final
2013-12-24 09:55:57	ga_ls7e_ard_3-0-0_097074_2013-12-24_final
2014-01-09 09:56:00	ga_ls7e_ard_3-0-0_097074_2014-01-09_final
2014-01-25 09:56:20	ga_ls7e_ard_3-0-0_097074_2014-01-25_final
2014-02-10 09:56:25	ga_ls7e_ard_3-0-0_097074_2014-02-10_final
2014-02-26 09:56:16	ga_ls7e_ard_3-0-0_097074_2014-02-26_final
2014-03-14 09:56:24	ga_ls7e_ard_3-0-0_097074_2014-03-14_final
2014-03-30 09:56:31	ga_ls7e_ard_3-0-0_097074_2014-03-30_final
2014-04-15 09:56:38	ga_ls7e_ard_3-0-0_097074_2014-04-15_final
2014-05-01 09:56:47	ga_ls7e_ard_3-0-0_097074_2014-05-01_final
2014-05-17 09:56:54	ga_ls7e_ard_3-0-0_097074_2014-05-17_final
2014-06-02 09:56:57	ga_ls7e_ard_3-0-0_097074_2014-06-02_final
2014-06-18 09:56:57	ga_ls7e_ard_3-0-0_097074_2014-06-18_final
2014-07-04 09:57:05	ga_ls7e_ard_3-0-0_097074_2014-07-04_final
2014-07-20 09:57:07	ga_ls7e_ard_3-0-0_097074_2014-07-20_final
2014-08-05 09:57:13	ga_ls7e_ard_3-0-0_097074_2014-08-05_final
2014-08-21 09:57:12	ga_ls7e_ard_3-0-0_097074_2014-08-21_final
2014-09-06 09:57:13	ga_ls7e_ard_3-0-0_097074_2014-09-06_final
2014-09-22 09:57:18	ga_ls7e_ard_3-0-0_097074_2014-09-22_final
2014-10-08 09:57:30	ga_ls7e_ard_3-0-0_097074_2014-10-08_final
2014-10-24 09:57:39	ga_ls7e_ard_3-0-0_097074_2014-10-24_final
2014-11-09 09:57:48	ga_ls7e_ard_3-0-0_097074_2014-11-09_final
2014-11-25 09:57:51	ga_ls7e_ard_3-0-0_097074_2014-11-25_final
2014-12-11 09:57:58	ga_ls7e_ard_3-0-0_097074_2014-12-11_final
2014-12-27 09:58:05	ga_ls7e_ard_3-0-0_097074_2014-12-27_final
2015-01-12 09:58:08	ga_ls7e_ard_3-0-0_097074_2015-01-12_final
2015-01-28 09:58:12	ga_ls7e_ard_3-0-0_097074_2015-01-28_final
2015-02-13 09:58:12	ga_ls7e_ard_3-0-0_097074_2015-02-13_final
2015-03-01 09:58:25	ga_ls7e_ard_3-0-0_097074_2015-03-01_final
2015-03-17 09:58:32	ga_ls7e_ard_3-0-0_097074_2015-03-17_final
2015-04-02 09:58:38	ga_ls7e_ard_3-0-0_097074_2015-04-02_final
2015-04-18 09:58:47	ga_ls7e_ard_3-0-0_097074_2015-04-18_final
2015-05-04 09:58:53	ga_ls7e_ard_3-0-0_097074_2015-05-04_final
2015-06-21 09:59:10	ga_ls7e_ard_3-0-0_097074_2015-06-21_final
2015-07-07 09:59:15	ga_ls7e_ard_3-0-0_097074_2015-07-07_final
2015-07-23 09:59:19	ga_ls7e_ard_3-0-0_097074_2015-07-23_final
2015-08-24 09:59:25	ga_ls7e_ard_3-0-0_097074_2015-08-24_final
2015-09-25 09:59:32	ga_ls7e_ard_3-0-0_097074_2015-09-25_final
2015-10-27 09:59:57	ga_ls7e_ard_3-0-0_097074_2015-10-27_final
2015-11-12 10:00:13	ga_ls7e_ard_3-0-0_097074_2015-11-12_final
2015-12-14 10:00:43	ga_ls7e_ard_3-0-0_097074_2015-12-14_final
2015-12-30 10:00:55	ga_ls7e_ard_3-0-0_097074_2015-12-30_final
2016-01-15 10:01:11	ga_ls7e_ard_3-0-0_097074_2016-01-15_final
2016-04-20 10:01:52	ga_ls7e_ard_3-0-0_097074_2016-04-20_final
2016-06-07 10:02:05	ga_ls7e_ard_3-0-0_097074_2016-06-07_final
2016-07-09 10:02:07	ga_ls7e_ard_3-0-0_097074_2016-07-09_final
2016-07-25 10:02:09	ga_ls7e_ard_3-0-0_097074_2016-07-25_final
2016-10-13 10:02:19	ga_ls7e_ard_3-0-0_097074_2016-10-13_final
2016-10-29 10:02:15	ga_ls7e_ard_3-0-0_097074_2016-10-29_final
2016-11-14 10:02:07	ga_ls7e_ard_3-0-0_097074_2016-11-14_final
2016-11-30 10:02:04	ga_ls7e_ard_3-0-0_097074_2016-11-30_final
2017-01-17 10:01:41	ga_ls7e_ard_3-0-0_097074_2017-01-17_final
2017-02-02 10:01:33	ga_ls7e_ard_3-0-0_097074_2017-02-02_final
2017-03-22 10:01:46	ga_ls7e_ard_3-0-0_097074_2017-03-22_final
2021-04-02 09:11:10	ga_ls7e_ard_3-2-0_097074_2021-04-01_final
2021-04-18 09:09:50	ga_ls7e_ard_3-2-0_097074_2021-04-17_final
2021-05-04 09:08:29	ga_ls7e_ard_3-2-0_097074_2021-05-03_final
2021-05-20 09:07:09	ga_ls7e_ard_3-2-0_097074_2021-05-19_final
2021-06-05 09:05:47	ga_ls7e_ard_3-2-0_097074_2021-06-04_final
2021-06-21 09:04:29	ga_ls7e_ard_3-2-0_097074_2021-06-20_final
2021-07-07 09:03:09	ga_ls7e_ard_3-2-0_097074_2021-07-06_final
2021-07-23 09:01:46	ga_ls7e_ard_3-2-0_097074_2021-07-22_final
2021-08-08 09:00:22	ga_ls7e_ard_3-2-0_097074_2021-08-07_final
2021-08-24 08:58:58	ga_ls7e_ard_3-2-0_097074_2021-08-23_final
2021-09-09 08:57:34	ga_ls7e_ard_3-2-0_097074_2021-09-08_final
2021-09-25 08:56:08	ga_ls7e_ard_3-2-0_097074_2021-09-24_final
2021-10-11 08:54:44	ga_ls7e_ard_3-2-0_097074_2021-10-10_final
2021-10-27 08:53:17	ga_ls7e_ard_3-2-0_097074_2021-10-26_final
2021-11-28 08:50:13	ga_ls7e_ard_3-2-1_097074_2021-11-27_final
2021-12-14 08:48:43	ga_ls7e_ard_3-2-1_097074_2021-12-13_final
2021-12-30 08:47:08	ga_ls7e_ard_3-2-1_097074_2021-12-29_final
2022-01-15 08:45:36	ga_ls7e_ard_3-2-1_097074_2022-01-14_final
2022-01-31 08:44:02	ga_ls7e_ard_3-2-1_097074_2022-01-30_final
2022-02-16 08:42:23	ga_ls7e_ard_3-2-1_097074_2022-02-15_final
2022-03-04 08:40:52	ga_ls7e_ard_3-2-1_097074_2022-03-03_final
2022-03-20 08:39:16	ga_ls7e_ard_3-2-1_097074_2022-03-19_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