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
2014-12-21 10:32:47	ga_ls7e_ard_3-0-0_103068_2014-12-21_final
2014-12-21 10:33:11	ga_ls7e_ard_3-0-0_103069_2014-12-21_final
2014-12-24 11:04:05	ga_ls7e_ard_3-0-0_108069_2014-12-24_final
2014-12-26 10:51:19	ga_ls7e_ard_3-0-0_106068_2014-12-26_final
2014-12-27 09:56:05	ga_ls7e_ard_3-0-0_097069_2014-12-27_final
2014-12-28 10:38:57	ga_ls7e_ard_3-0-0_104068_2014-12-28_final
2014-12-28 10:39:21	ga_ls7e_ard_3-0-0_104069_2014-12-28_final
2014-12-29 11:22:12	ga_ls7e_ard_3-0-0_111068_2014-12-29_final
2014-12-30 10:26:34	ga_ls7e_ard_3-0-0_102068_2014-12-30_final
2015-01-03 10:01:52	ga_ls7e_ard_3-0-0_098068_2015-01-03_final
2015-01-03 10:02:16	ga_ls7e_ard_3-0-0_098069_2015-01-03_final
2015-03-03 11:22:34	ga_ls7e_ard_3-0-0_111068_2015-03-03_final
2015-03-04 10:26:57	ga_ls7e_ard_3-0-0_102068_2015-03-04_final
2015-06-03 10:09:04	ga_ls7e_ard_3-0-0_099068_2015-06-03_final
2015-06-03 10:09:28	ga_ls7e_ard_3-0-0_099069_2015-06-03_final
2015-06-04 10:52:20	ga_ls7e_ard_3-0-0_106068_2015-06-04_final
2015-06-04 10:52:44	ga_ls7e_ard_3-0-0_106069_2015-06-04_final
2015-07-30 10:03:07	ga_ls7e_ard_3-0-0_098068_2015-07-30_final
2015-07-30 10:03:31	ga_ls7e_ard_3-0-0_098069_2015-07-30_final
2015-07-31 10:46:23	ga_ls7e_ard_3-0-0_105068_2015-07-31_final
2015-07-31 10:46:47	ga_ls7e_ard_3-0-0_105069_2015-07-31_final
2017-03-09 10:30:12	ga_ls7e_ard_3-0-0_102068_2017-03-09_final
2017-03-09 10:30:36	ga_ls7e_ard_3-0-0_102069_2017-03-09_final
2017-04-24 10:42:50	ga_ls7e_ard_3-0-0_104068_2017-04-24_final
2017-04-25 11:26:06	ga_ls7e_ard_3-0-0_111068_2017-04-25_final
2017-05-19 10:36:45	ga_ls7e_ard_3-0-0_103068_2017-05-19_final
2017-05-19 10:37:09	ga_ls7e_ard_3-0-0_103069_2017-05-19_final
2017-07-22 10:36:54	ga_ls7e_ard_3-0-0_103068_2017-07-22_final
2017-07-22 10:37:18	ga_ls7e_ard_3-0-0_103069_2017-07-22_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
2017-08-11 10:12:08	ga_ls7e_ard_3-0-0_099068_2017-08-11_final
2017-08-11 10:12:32	ga_ls7e_ard_3-0-0_099069_2017-08-11_final
2017-08-12 10:55:24	ga_ls7e_ard_3-0-0_106068_2017-08-12_final
2017-08-12 10:55:48	ga_ls7e_ard_3-0-0_106069_2017-08-12_final
2017-11-03 11:26:19	ga_ls7e_ard_3-0-0_111068_2017-11-03_final
2017-11-04 10:30:42	ga_ls7e_ard_3-0-0_102068_2017-11-04_final
2017-11-04 10:31:06	ga_ls7e_ard_3-0-0_102069_2017-11-04_final
2017-12-04 10:42:54	ga_ls7e_ard_3-0-0_104068_2017-12-04_final
2017-12-04 10:43:18	ga_ls7e_ard_3-0-0_104069_2017-12-04_final
2017-12-06 10:30:31	ga_ls7e_ard_3-0-0_102068_2017-12-06_final
2017-12-06 10:30:55	ga_ls7e_ard_3-0-0_102069_2017-12-06_final
2017-12-10 10:05:46	ga_ls7e_ard_3-0-0_098068_2017-12-10_final
2017-12-11 10:49:01	ga_ls7e_ard_3-0-0_105068_2017-12-11_final
2018-03-28 10:29:06	ga_ls7e_ard_3-0-0_102068_2018-03-28_final
2018-03-28 10:29:30	ga_ls7e_ard_3-0-0_102069_2018-03-28_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
2018-08-10 10:32:55	ga_ls7e_ard_3-0-0_103068_2018-08-10_final
2018-08-17 10:38:58	ga_ls7e_ard_3-0-0_104068_2018-08-17_final
2018-08-17 10:39:22	ga_ls7e_ard_3-0-0_104069_2018-08-17_final
2018-08-18 11:22:12	ga_ls7e_ard_3-0-0_111068_2018-08-18_final
2018-08-19 10:26:34	ga_ls7e_ard_3-0-0_102068_2018-08-19_final
2018-08-19 10:26:58	ga_ls7e_ard_3-0-0_102069_2018-08-19_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
2018-08-30 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
2018-09-08 10:01:26	ga_ls7e_ard_3-0-0_098068_2018-09-08_final
2018-09-09 10:44:40	ga_ls7e_ard_3-0-0_105068_2018-09-09_final
2018-09-09 10:45:04	ga_ls7e_ard_3-0-0_105069_2018-09-09_final
2020-11-27 10:44:44	ga_ls7e_ard_3-1-0_111068_2020-11-27_final
2020-11-28 09:49:03	ga_ls7e_ard_3-1-0_102068_2020-11-28_final
2020-12-02 09:24:02	ga_ls7e_ard_3-1-0_098068_2020-12-01_final
2020-12-03 10:07:13	ga_ls7e_ard_3-1-0_105068_2020-12-03_final
2020-12-05 09:54:43	ga_ls7e_ard_3-1-0_103068_2020-12-05_final
2020-12-09 09:29:42	ga_ls7e_ard_3-1-0_099068_2020-12-08_final
2020-12-18 09:22:50	ga_ls7e_ard_3-1-0_098068_2020-12-17_final
2020-12-21 09:53:30	ga_ls7e_ard_3-1-0_103068_2020-12-21_final
2021-03-03 10:37:42	ga_ls7e_ard_3-2-0_111068_2021-03-03_final
2021-03-04 09:42:00	ga_ls7e_ard_3-2-0_102068_2021-03-04_final
2021-03-08 09:16:58	ga_ls7e_ard_3-2-0_098068_2021-03-07_final
2021-03-09 10:00:09	ga_ls7e_ard_3-2-0_105068_2021-03-09_final
2021-03-11 09:47:38	ga_ls7e_ard_3-2-0_103068_2021-03-11_final
2021-06-03 09:15:55	ga_ls7e_ard_3-2-0_099068_2021-06-02_final
2021-06-04 09:59:05	ga_ls7e_ard_3-2-0_106068_2021-06-04_final
2021-06-06 09:46:34	ga_ls7e_ard_3-2-0_104068_2021-06-06_final
2021-08-23 09:52:16	ga_ls7e_ard_3-2-0_106068_2021-08-23_final
2021-08-25 09:39:44	ga_ls7e_ard_3-2-0_104068_2021-08-25_final
2021-08-26 10:22:55	ga_ls7e_ard_3-2-0_111068_2021-08-26_final
2021-08-27 09:27:12	ga_ls7e_ard_3-2-0_102068_2021-08-26_final
2021-09-17 09:43:54	ga_ls7e_ard_3-2-0_105068_2021-09-17_final
2021-09-19 09:31:22	ga_ls7e_ard_3-2-0_103068_2021-09-19_final
2021-11-20 09:38:02	ga_ls7e_ard_3-2-1_105068_2021-11-20_final
2021-11-22 09:25:28	ga_ls7e_ard_3-2-1_103068_2021-11-21_final
2021-11-26 09:00:22	ga_ls7e_ard_3-2-1_099068_2021-11-25_final
2021-11-27 09:43:32	ga_ls7e_ard_3-2-1_106068_2021-11-27_final
2021-11-29 09:31:00	ga_ls7e_ard_3-2-1_104068_2021-11-29_final
2021-12-01 09:18:27	ga_ls7e_ard_3-2-1_102068_2021-11-30_final
2021-12-29 09:40:28	ga_ls7e_ard_3-2-1_106068_2021-12-29_final
2022-01-14 09:38:55	ga_ls7e_ard_3-2-1_106068_2022-01-14_final
2022-01-16 09:26:22	ga_ls7e_ard_3-2-1_104068_2022-01-15_final
2022-01-18 09:13:49	ga_ls7e_ard_3-2-1_102068_2022-01-17_final
2022-03-18 08:49:25	ga_ls7e_ard_3-2-1_099068_2022-03-17_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