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
2008-04-02 11:02:16	ga_ls7e_ard_3-0-0_109070_2008-04-02_final
2008-04-05 09:53:53	ga_ls7e_ard_3-0-0_098069_2008-04-05_final
2016-03-13 10:36:43	ga_ls7e_ard_3-0-0_103069_2016-03-13_final
2016-03-13 10:37:07	ga_ls7e_ard_3-0-0_103070_2016-03-13_final
2016-03-14 11:20:24	ga_ls7e_ard_3-0-0_110070_2016-03-14_final
2016-03-16 11:07:39	ga_ls7e_ard_3-0-0_108069_2016-03-16_final
2016-03-16 11:08:03	ga_ls7e_ard_3-0-0_108070_2016-03-16_final
2016-05-28 11:02:15	ga_ls7e_ard_3-0-0_107070_2016-05-28_final
2016-05-29 10:06:14	ga_ls7e_ard_3-0-0_098069_2016-05-29_final
2016-05-29 10:06:38	ga_ls7e_ard_3-0-0_098070_2016-05-29_final
2016-05-30 10:49:30	ga_ls7e_ard_3-0-0_105069_2016-05-30_final
2016-05-30 10:49:54	ga_ls7e_ard_3-0-0_105070_2016-05-30_final
2016-05-31 09:54:17	ga_ls7e_ard_3-0-0_096070_2016-05-31_final
2016-07-24 10:55:47	ga_ls7e_ard_3-0-0_106069_2016-07-24_final
2016-07-24 10:56:11	ga_ls7e_ard_3-0-0_106070_2016-07-24_final
2016-07-25 10:00:10	ga_ls7e_ard_3-0-0_097069_2016-07-25_final
2016-07-25 10:00:34	ga_ls7e_ard_3-0-0_097070_2016-07-25_final
2016-07-26 10:43:26	ga_ls7e_ard_3-0-0_104069_2016-07-26_final
2016-08-07 11:08:10	ga_ls7e_ard_3-0-0_108069_2016-08-07_final
2016-08-07 11:08:34	ga_ls7e_ard_3-0-0_108070_2016-08-07_final
2016-12-14 10:12:22	ga_ls7e_ard_3-0-0_099069_2016-12-14_final
2016-12-15 10:55:38	ga_ls7e_ard_3-0-0_106069_2016-12-15_final
2016-12-15 10:56:02	ga_ls7e_ard_3-0-0_106070_2016-12-15_final
2016-12-16 10:00:00	ga_ls7e_ard_3-0-0_097069_2016-12-16_final
2016-12-16 10:00:24	ga_ls7e_ard_3-0-0_097070_2016-12-16_final
2016-12-17 10:43:15	ga_ls7e_ard_3-0-0_104069_2016-12-17_final
2016-12-17 10:43:39	ga_ls7e_ard_3-1-0_104070_2016-12-17_final
2017-01-08 10:05:58	ga_ls7e_ard_3-0-0_098069_2017-01-08_final
2017-01-09 10:49:13	ga_ls7e_ard_3-0-0_105069_2017-01-09_final
2017-01-09 10:49:37	ga_ls7e_ard_3-0-0_105070_2017-01-09_final
2017-01-10 09:53:59	ga_ls7e_ard_3-0-0_096070_2017-01-10_final
2020-01-24 09:49:41	ga_ls7e_ard_3-1-0_099069_2020-01-24_final
2020-01-25 10:32:53	ga_ls7e_ard_3-1-0_106069_2020-01-25_final
2020-03-06 10:24:34	ga_ls7e_ard_3-1-0_105069_2020-03-06_final
2020-03-11 10:42:50	ga_ls7e_ard_3-1-0_108069_2020-03-11_final
2020-04-30 10:27:37	ga_ls7e_ard_3-1-0_106069_2020-04-30_final
2020-05-01 09:31:56	ga_ls7e_ard_3-1-0_097069_2020-05-01_final
2020-05-02 10:15:08	ga_ls7e_ard_3-1-0_104069_2020-05-02_final
2020-12-21 09:53:54	ga_ls7e_ard_3-1-0_103069_2020-12-21_final
2020-12-24 10:24:35	ga_ls7e_ard_3-1-0_108069_2020-12-24_final
2020-12-26 10:12:05	ga_ls7e_ard_3-1-0_106069_2020-12-26_final
2020-12-27 09:16:24	ga_ls7e_ard_3-1-0_097069_2020-12-26_final
2020-12-28 09:59:35	ga_ls7e_ard_3-1-0_104069_2020-12-28_final
2020-12-30 09:47:06	ga_ls7e_ard_3-1-0_102069_2020-12-30_final
2021-01-03 09:22:06	ga_ls7e_ard_3-1-0_098069_2021-01-02_final
2021-01-04 10:05:17	ga_ls7e_ard_3-1-0_105069_2021-01-04_final
2021-01-06 09:52:47	ga_ls7e_ard_3-1-0_103069_2021-01-06_final
2021-01-09 10:23:29	ga_ls7e_ard_3-1-0_108069_2021-01-09_final
2021-01-10 09:27:47	ga_ls7e_ard_3-1-0_099069_2021-01-09_final
2021-01-13 09:58:29	ga_ls7e_ard_3-1-0_104069_2021-01-13_final
2021-01-15 09:45:59	ga_ls7e_ard_3-1-0_102069_2021-01-15_final
2021-04-05 09:39:50	ga_ls7e_ard_3-2-0_102069_2021-04-05_final
2021-04-09 09:14:47	ga_ls7e_ard_3-2-0_098069_2021-04-08_final
2021-04-10 09:57:57	ga_ls7e_ard_3-2-0_105069_2021-04-10_final
2021-04-12 09:45:26	ga_ls7e_ard_3-2-0_103069_2021-04-12_final
2021-05-21 09:48:19	ga_ls7e_ard_3-2-0_104069_2021-05-21_final
2021-05-23 09:35:48	ga_ls7e_ard_3-2-0_102069_2021-05-23_final
2021-05-27 09:10:44	ga_ls7e_ard_3-2-0_098069_2021-05-26_final
2021-05-28 09:53:54	ga_ls7e_ard_3-2-0_105069_2021-05-28_final
2021-05-30 09:41:22	ga_ls7e_ard_3-2-0_103069_2021-05-30_final
2021-06-02 10:12:01	ga_ls7e_ard_3-2-0_108069_2021-06-02_final
2021-06-03 09:16:19	ga_ls7e_ard_3-2-0_099069_2021-06-02_final
2021-06-04 09:59:29	ga_ls7e_ard_3-2-0_106069_2021-06-04_final
2021-06-05 09:03:47	ga_ls7e_ard_3-2-0_097069_2021-06-04_final
2021-06-06 09:46:58	ga_ls7e_ard_3-2-0_104069_2021-06-06_final
2021-06-08 09:34:27	ga_ls7e_ard_3-2-0_102069_2021-06-08_final
2021-06-12 09:09:24	ga_ls7e_ard_3-2-0_098069_2021-06-11_final
2021-06-13 09:52:35	ga_ls7e_ard_3-2-0_105069_2021-06-13_final
2021-06-15 09:40:04	ga_ls7e_ard_3-2-0_103069_2021-06-15_final
2021-06-18 10:10:43	ga_ls7e_ard_3-2-0_108069_2021-06-18_final
2021-06-19 09:15:01	ga_ls7e_ard_3-2-0_099069_2021-06-18_final
2021-06-20 09:58:11	ga_ls7e_ard_3-2-0_106069_2021-06-20_final
2021-06-21 09:02:29	ga_ls7e_ard_3-2-0_097069_2021-06-20_final
2021-06-22 09:45:40	ga_ls7e_ard_3-2-0_104069_2021-06-22_final
2021-06-24 09:33:08	ga_ls7e_ard_3-2-0_102069_2021-06-24_final
2021-06-28 09:08:05	ga_ls7e_ard_3-2-0_098069_2021-06-27_final
2021-06-29 09:51:16	ga_ls7e_ard_3-2-0_105069_2021-06-29_final
2021-07-01 09:38:44	ga_ls7e_ard_3-2-0_103069_2021-07-01_final
2021-07-06 09:56:51	ga_ls7e_ard_3-2-0_106069_2021-07-06_final
2021-07-08 09:44:19	ga_ls7e_ard_3-2-0_104069_2021-07-08_final
2021-07-10 09:31:48	ga_ls7e_ard_3-2-0_102069_2021-07-10_final
2021-07-14 09:06:44	ga_ls7e_ard_3-2-0_098069_2021-07-13_final
2021-07-15 09:49:54	ga_ls7e_ard_3-2-0_105069_2021-07-15_final
2021-07-17 09:37:22	ga_ls7e_ard_3-2-0_103069_2021-07-17_final
2021-07-20 10:08:01	ga_ls7e_ard_3-2-0_108069_2021-07-20_final
2021-07-21 09:12:19	ga_ls7e_ard_3-2-0_099069_2021-07-20_final
2021-07-22 09:55:29	ga_ls7e_ard_3-2-0_106069_2021-07-22_final
2021-07-23 08:59:47	ga_ls7e_ard_3-2-0_097069_2021-07-22_final
2021-07-24 09:42:57	ga_ls7e_ard_3-2-0_104069_2021-07-24_final
2021-07-26 09:30:25	ga_ls7e_ard_3-2-0_102069_2021-07-26_final
2021-07-30 09:05:21	ga_ls7e_ard_3-2-0_098069_2021-07-29_final
2021-07-31 09:48:31	ga_ls7e_ard_3-2-0_105069_2021-07-31_final
2021-08-02 09:35:59	ga_ls7e_ard_3-2-0_103069_2021-08-02_final
2021-08-05 10:06:37	ga_ls7e_ard_3-2-0_108069_2021-08-05_final
2021-08-06 09:10:54	ga_ls7e_ard_3-2-0_099069_2021-08-05_final
2021-09-17 09:44:18	ga_ls7e_ard_3-2-0_105069_2021-09-17_final
2021-09-19 09:31:46	ga_ls7e_ard_3-2-0_103069_2021-09-19_final
2021-11-19 08:55:16	ga_ls7e_ard_3-2-1_098069_2021-11-18_final
2021-12-08 09:24:22	ga_ls7e_ard_3-2-1_103069_2021-12-07_final
2021-12-12 08:59:16	ga_ls7e_ard_3-2-1_099069_2021-12-11_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