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
2002-05-06 10:48:37	ga_ls7e_ard_3-0-0_107070_2002-05-06_final
2002-05-07 09:52:35	ga_ls7e_ard_3-0-0_098069_2002-05-07_final
2002-05-07 09:52:59	ga_ls7e_ard_3-0-0_098070_2002-05-07_final
2002-05-08 10:35:50	ga_ls7e_ard_3-0-0_105069_2002-05-08_final
2002-05-08 10:36:14	ga_ls7e_ard_3-0-0_105070_2002-05-08_final
2002-05-09 09:40:36	ga_ls7e_ard_3-0-0_096070_2002-05-09_final
2002-05-27 11:06:57	ga_ls7e_ard_3-0-0_110070_2002-05-27_final
2002-05-29 10:54:10	ga_ls7e_ard_3-0-0_108069_2002-05-29_final
2002-05-29 10:54:34	ga_ls7e_ard_3-0-0_108070_2002-05-29_final
2002-05-30 09:58:33	ga_ls7e_ard_3-0-0_099069_2002-05-30_final
2002-05-30 09:58:56	ga_ls7e_ard_3-0-0_099070_2002-05-30_final
2002-07-01 09:58:46	ga_ls7e_ard_3-0-0_099070_2002-07-01_final
2002-07-02 10:41:38	ga_ls7e_ard_3-0-0_106069_2002-07-02_final
2002-07-02 10:42:01	ga_ls7e_ard_3-0-0_106070_2002-07-02_final
2002-07-03 09:46:00	ga_ls7e_ard_3-0-0_097069_2002-07-03_final
2002-07-03 09:46:24	ga_ls7e_ard_3-0-0_097070_2002-07-03_final
2002-07-04 10:29:16	ga_ls7e_ard_3-0-0_104069_2002-07-04_final
2002-07-04 10:29:40	ga_ls7e_ard_3-1-0_104070_2002-07-04_final
2006-04-08 10:43:14	ga_ls7e_ard_3-0-0_106069_2006-04-08_final
2006-04-08 10:43:38	ga_ls7e_ard_3-0-0_106070_2006-04-08_final
2006-04-09 09:47:36	ga_ls7e_ard_3-0-0_097069_2006-04-09_final
2006-04-09 09:48:00	ga_ls7e_ard_3-0-0_097070_2006-04-09_final
2006-04-10 10:30:52	ga_ls7e_ard_3-0-0_104069_2006-04-10_final
2006-04-10 10:31:16	ga_ls7e_ard_3-1-0_104070_2006-04-10_final
2006-04-12 10:18:30	ga_ls7e_ard_3-0-0_102069_2006-04-12_final
2006-04-12 10:18:54	ga_ls7e_ard_3-0-0_102070_2006-04-12_final
2006-04-13 11:02:09	ga_ls7e_ard_3-0-0_109070_2006-04-13_final
2006-06-15 10:18:28	ga_ls7e_ard_3-0-0_102069_2006-06-15_final
2006-06-15 10:18:52	ga_ls7e_ard_3-0-0_102070_2006-06-15_final
2006-06-16 11:02:07	ga_ls7e_ard_3-0-0_109070_2006-06-16_final
2006-06-18 10:49:45	ga_ls7e_ard_3-0-0_107070_2006-06-18_final
2006-08-02 10:18:09	ga_ls7e_ard_3-0-0_102069_2006-08-02_final
2006-08-02 10:18:33	ga_ls7e_ard_3-0-0_102070_2006-08-02_final
2006-08-03 11:01:49	ga_ls7e_ard_3-0-0_109070_2006-08-03_final
2006-08-05 10:49:27	ga_ls7e_ard_3-0-0_107070_2006-08-05_final
2006-08-06 09:53:26	ga_ls7e_ard_3-0-0_098069_2006-08-06_final
2006-08-06 09:53:50	ga_ls7e_ard_3-0-0_098070_2006-08-06_final
2006-10-18 09:47:29	ga_ls7e_ard_3-0-0_097070_2006-10-18_final
2006-10-21 10:18:03	ga_ls7e_ard_3-0-0_102069_2006-10-21_final
2006-10-21 10:18:26	ga_ls7e_ard_3-0-0_102070_2006-10-21_final
2006-10-22 11:01:43	ga_ls7e_ard_3-0-0_109070_2006-10-22_final
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
2007-10-05 09:47:12	ga_ls7e_ard_3-0-0_097069_2007-10-05_final
2007-10-06 10:30:29	ga_ls7e_ard_3-0-0_104069_2007-10-06_final
2007-10-08 10:18:09	ga_ls7e_ard_3-0-0_102069_2007-10-08_final
2007-10-09 11:01:50	ga_ls7e_ard_3-0-0_109070_2007-10-09_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
2008-02-29 10:19:04	ga_ls7e_ard_3-0-0_102070_2008-02-29_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
2017-03-12 11:01:55	ga_ls7e_ard_3-0-0_107070_2017-03-12_final
2017-03-13 10:05:54	ga_ls7e_ard_3-0-0_098069_2017-03-13_final
2017-03-13 10:06:18	ga_ls7e_ard_3-0-0_098070_2017-03-13_final
2017-03-14 10:49:10	ga_ls7e_ard_3-0-0_105069_2017-03-14_final
2017-03-14 10:49:34	ga_ls7e_ard_3-0-0_105070_2017-03-14_final
2017-03-15 09:53:57	ga_ls7e_ard_3-0-0_096070_2017-03-15_final
2017-04-01 10:36:54	ga_ls7e_ard_3-0-0_103069_2017-04-01_final
2017-04-01 10:37:17	ga_ls7e_ard_3-0-0_103070_2017-04-01_final
2017-04-04 11:07:48	ga_ls7e_ard_3-0-0_108069_2017-04-04_final
2017-04-05 10:12:11	ga_ls7e_ard_3-0-0_099069_2017-04-05_final
2017-06-13 10:31:05	ga_ls7e_ard_3-0-0_102069_2017-06-13_final
2017-06-13 10:31:28	ga_ls7e_ard_3-0-0_102070_2017-06-13_final
2017-06-14 11:14:44	ga_ls7e_ard_3-0-0_109070_2017-06-14_final
2017-06-16 11:02:23	ga_ls7e_ard_3-0-0_107070_2017-06-16_final
2017-06-17 10:06:22	ga_ls7e_ard_3-0-0_098069_2017-06-17_final
2017-06-18 10:49:38	ga_ls7e_ard_3-0-0_105069_2017-06-18_final
2017-09-21 10:06:19	ga_ls7e_ard_3-0-0_098069_2017-09-21_final
2017-09-22 10:49:35	ga_ls7e_ard_3-0-0_105069_2017-09-22_final
2017-09-23 09:54:22	ga_ls7e_ard_3-0-0_096070_2017-09-23_final
2017-09-24 10:37:14	ga_ls7e_ard_3-0-0_103069_2017-09-24_final
2017-09-25 11:20:54	ga_ls7e_ard_3-0-0_110070_2017-09-25_final
2017-09-27 11:08:08	ga_ls7e_ard_3-0-0_108069_2017-09-27_final
2017-09-27 11:08:32	ga_ls7e_ard_3-0-0_108070_2017-09-27_final
2017-09-28 10:12:31	ga_ls7e_ard_3-0-0_099069_2017-09-28_final
2017-10-06 11:02:22	ga_ls7e_ard_3-0-0_107070_2017-10-06_final
2017-10-07 10:06:21	ga_ls7e_ard_3-0-0_098069_2017-10-07_final
2017-10-08 10:49:37	ga_ls7e_ard_3-0-0_105069_2017-10-08_final
2017-10-08 10:50:01	ga_ls7e_ard_3-0-0_105070_2017-10-08_final
2017-10-09 09:54:24	ga_ls7e_ard_3-0-0_096070_2017-10-09_final
2017-10-10 10:37:16	ga_ls7e_ard_3-0-0_103069_2017-10-10_final
2018-04-29 10:28:58	ga_ls7e_ard_3-0-0_102069_2018-04-29_final
2018-05-15 10:28:41	ga_ls7e_ard_3-0-0_102069_2018-05-15_final
2018-05-16 11:12:20	ga_ls7e_ard_3-0-0_109070_2018-05-16_final
2018-05-31 10:28:26	ga_ls7e_ard_3-0-0_102069_2018-05-31_final
2018-06-19 10:59:24	ga_ls7e_ard_3-0-0_107070_2018-06-19_final
2018-06-20 10:03:22	ga_ls7e_ard_3-0-0_098069_2018-06-20_final
2018-06-21 10:46:36	ga_ls7e_ard_3-0-0_105069_2018-06-21_final
2018-06-28 10:52:39	ga_ls7e_ard_3-0-0_106069_2018-06-28_final
2018-06-28 10:53:03	ga_ls7e_ard_3-0-0_106070_2018-06-28_final
2018-06-29 09:57:24	ga_ls7e_ard_3-0-0_097070_2018-06-29_final
2018-06-30 10:40:15	ga_ls7e_ard_3-0-0_104069_2018-06-30_final
2018-07-02 10:27:51	ga_ls7e_ard_3-0-0_102069_2018-07-02_final
2018-07-22 10:02:45	ga_ls7e_ard_3-0-0_098069_2018-07-22_final
2018-07-23 10:46:00	ga_ls7e_ard_3-0-0_105069_2018-07-23_final
2018-08-06 10:58:31	ga_ls7e_ard_3-0-0_107070_2018-08-06_final
2018-10-11 10:44:18	ga_ls7e_ard_3-0-0_105069_2018-10-11_final
2018-10-12 09:49:04	ga_ls7e_ard_3-0-0_096070_2018-10-12_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