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
2007-09-29 10:24:24	ga_ls7e_ard_3-0-0_103069_2007-09-29_final
2007-10-02 10:55:17	ga_ls7e_ard_3-0-0_108069_2007-10-02_final
2007-10-09 11:01:50	ga_ls7e_ard_3-0-0_109070_2007-10-09_final
2007-10-12 09:53:29	ga_ls7e_ard_3-0-0_098069_2007-10-12_final
2007-10-13 10:36:46	ga_ls7e_ard_3-0-0_105069_2007-10-13_final
2007-10-15 10:24:26	ga_ls7e_ard_3-0-0_103069_2007-10-15_final
2007-10-15 10:24:50	ga_ls7e_ard_3-0-0_103070_2007-10-15_final
2007-10-18 10:55:22	ga_ls7e_ard_3-0-0_108069_2007-10-18_final
2007-10-18 10:55:46	ga_ls7e_ard_3-0-0_108070_2007-10-18_final
2007-10-19 09:59:45	ga_ls7e_ard_3-0-0_099069_2007-10-19_final
2007-10-20 10:43:02	ga_ls7e_ard_3-0-0_106069_2007-10-20_final
2007-10-21 09:47:25	ga_ls7e_ard_3-0-0_097069_2007-10-21_final
2007-11-14 10:37:07	ga_ls7e_ard_3-0-0_105069_2007-11-14_final
2007-11-16 10:24:46	ga_ls7e_ard_3-0-0_103069_2007-11-16_final
2007-11-16 10:25:10	ga_ls7e_ard_3-0-0_103070_2007-11-16_final
2007-11-19 10:55:42	ga_ls7e_ard_3-0-0_108069_2007-11-19_final
2007-11-20 10:00:05	ga_ls7e_ard_3-0-0_099069_2007-11-20_final
2007-11-30 10:37:14	ga_ls7e_ard_3-0-0_105069_2007-11-30_final
2007-11-30 10:37:38	ga_ls7e_ard_3-0-0_105070_2007-11-30_final
2007-12-02 10:24:53	ga_ls7e_ard_3-0-0_103069_2007-12-02_final
2007-12-03 11:08:33	ga_ls7e_ard_3-0-0_110070_2007-12-03_final
2007-12-22 10:00:15	ga_ls7e_ard_3-0-0_099069_2007-12-22_final
2007-12-23 10:43:31	ga_ls7e_ard_3-0-0_106069_2007-12-23_final
2007-12-24 09:47:54	ga_ls7e_ard_3-0-0_097069_2007-12-24_final
2007-12-25 10:31:10	ga_ls7e_ard_3-0-0_104069_2007-12-25_final
2008-01-01 10:37:21	ga_ls7e_ard_3-0-0_105069_2008-01-01_final
2008-01-01 10:37:45	ga_ls7e_ard_3-0-0_105070_2008-01-01_final
2008-01-03 10:25:00	ga_ls7e_ard_3-0-0_103069_2008-01-03_final
2008-01-03 10:25:24	ga_ls7e_ard_3-0-0_103070_2008-01-03_final
2008-01-23 10:00:16	ga_ls7e_ard_3-0-0_099069_2008-01-23_final
2008-01-24 10:43:32	ga_ls7e_ard_3-0-0_106069_2008-01-24_final
2008-01-25 09:47:55	ga_ls7e_ard_3-0-0_097069_2008-01-25_final
2008-01-26 10:31:10	ga_ls7e_ard_3-0-0_104069_2008-01-26_final
2008-02-29 10:19:04	ga_ls7e_ard_3-0-0_102070_2008-02-29_final
2008-03-04 09:53:56	ga_ls7e_ard_3-0-0_098069_2008-03-04_final
2008-03-05 10:37:11	ga_ls7e_ard_3-0-0_105069_2008-03-05_final
2008-03-11 10:00:04	ga_ls7e_ard_3-0-0_099069_2008-03-11_final
2008-03-12 10:43:19	ga_ls7e_ard_3-0-0_106069_2008-03-12_final
2008-03-14 10:30:58	ga_ls7e_ard_3-0-0_104069_2008-03-14_final
2008-03-20 09:53:53	ga_ls7e_ard_3-0-0_098069_2008-03-20_final
2008-04-12 10:00:04	ga_ls7e_ard_3-0-0_099069_2008-04-12_final
2008-04-13 10:43:19	ga_ls7e_ard_3-0-0_106069_2008-04-13_final
2008-04-14 09:47:42	ga_ls7e_ard_3-0-0_097069_2008-04-14_final
2008-05-23 09:53:41	ga_ls7e_ard_3-0-0_098069_2008-05-23_final
2008-05-24 10:36:56	ga_ls7e_ard_3-0-0_105069_2008-05-24_final
2008-05-26 10:24:34	ga_ls7e_ard_3-0-0_103069_2008-05-26_final
2008-05-26 10:24:58	ga_ls7e_ard_3-0-0_103070_2008-05-26_final
2008-06-02 10:30:41	ga_ls7e_ard_3-0-0_104069_2008-06-02_final
2008-06-04 10:18:19	ga_ls7e_ard_3-0-0_102069_2008-06-04_final
2008-06-08 09:53:33	ga_ls7e_ard_3-0-0_098069_2008-06-08_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
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
2021-05-12 09:55:16	ga_ls7e_ard_3-2-0_105069_2021-05-12_final
2021-05-14 09:42:44	ga_ls7e_ard_3-2-0_103069_2021-05-14_final
2021-05-17 10:13:23	ga_ls7e_ard_3-2-0_108069_2021-05-17_final
2021-05-18 09:17:41	ga_ls7e_ard_3-2-0_099069_2021-05-17_final
2021-05-19 10:00:51	ga_ls7e_ard_3-2-0_106069_2021-05-19_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
2021-06-12 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
2021-07-04 10:09:23	ga_ls7e_ard_3-2-0_108069_2021-07-04_final
2021-07-05 09:13:41	ga_ls7e_ard_3-2-0_099069_2021-07-04_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
2021-07-26 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
2021-12-29 09:40:52	ga_ls7e_ard_3-2-1_106069_2021-12-29_final
2021-12-31 09:28:18	ga_ls7e_ard_3-2-1_104069_2021-12-30_final
2022-01-06 08:50:37	ga_ls7e_ard_3-2-1_098069_2022-01-05_final
2022-01-07 09:33:47	ga_ls7e_ard_3-2-1_105069_2022-01-07_final
2022-02-02 10:08:22	ga_ls7e_ard_3-2-1_111069_2022-02-02_final
2022-02-03 09:12:38	ga_ls7e_ard_3-2-1_102069_2022-02-02_final
2022-02-07 08:47:31	ga_ls7e_ard_3-2-1_098069_2022-02-06_final
2022-02-08 09:30:40	ga_ls7e_ard_3-2-1_105069_2022-02-08_final
2022-02-10 09:18:06	ga_ls7e_ard_3-2-1_103069_2022-02-09_final
2022-02-14 08:52:58	ga_ls7e_ard_3-2-1_099069_2022-02-13_final
2022-02-15 09:36:07	ga_ls7e_ard_3-2-1_106069_2022-02-15_final
2022-02-16 08:40:24	ga_ls7e_ard_3-2-1_097069_2022-02-15_final
2022-02-17 09:23:34	ga_ls7e_ard_3-2-1_104069_2022-02-16_final
2022-02-18 10:06:44	ga_ls7e_ard_3-2-1_111069_2022-02-18_final
2022-03-30 09:13:25	ga_ls7e_ard_3-2-1_103069_2022-03-29_final
2022-04-02 09:44:01	ga_ls7e_ard_3-2-1_108069_2022-04-02_final
2022-04-03 08:48:18	ga_ls7e_ard_3-2-1_099069_2022-04-02_final
2022-04-04 09:31:27	ga_ls7e_ard_3-2-1_106069_2022-04-04_final
2022-04-05 08:35:44	ga_ls7e_ard_3-2-1_097069_2022-04-04_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