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
2012-05-22 11:12:57	ga_ls7e_ard_3-0-0_110070_2012-05-22_final
2012-05-24 11:00:09	ga_ls7e_ard_3-0-0_108069_2012-05-24_final
2012-05-24 11:00:33	ga_ls7e_ard_3-0-0_108070_2012-05-24_final
2012-09-03 10:23:48	ga_ls7e_ard_3-0-0_102069_2012-09-03_final
2012-09-03 10:24:12	ga_ls7e_ard_3-0-0_102070_2012-09-03_final
2012-11-26 09:59:44	ga_ls7e_ard_3-0-0_098069_2012-11-26_final
2012-11-27 10:43:00	ga_ls7e_ard_3-0-0_105069_2012-11-27_final
2012-11-28 09:47:46	ga_ls7e_ard_3-0-0_096070_2012-11-28_final
2012-11-29 10:30:38	ga_ls7e_ard_3-0-0_103069_2012-11-29_final
2012-12-02 11:01:31	ga_ls7e_ard_3-0-0_108069_2012-12-02_final
2012-12-03 10:05:54	ga_ls7e_ard_3-0-0_099069_2012-12-03_final
2012-12-03 10:06:18	ga_ls7e_ard_3-0-0_099070_2012-12-03_final
2014-04-12 11:02:35	ga_ls7e_ard_3-0-0_108069_2014-04-12_final
2014-04-12 11:02:59	ga_ls7e_ard_3-0-0_108070_2014-04-12_final
2014-04-13 10:06:58	ga_ls7e_ard_3-0-0_099069_2014-04-13_final
2014-04-13 10:07:22	ga_ls7e_ard_3-0-0_099070_2014-04-13_final
2014-04-14 10:50:15	ga_ls7e_ard_3-0-0_106069_2014-04-14_final
2014-04-14 10:50:39	ga_ls7e_ard_3-0-0_106070_2014-04-14_final
2014-05-02 10:38:03	ga_ls7e_ard_3-0-0_104069_2014-05-02_final
2014-05-02 10:38:27	ga_ls7e_ard_3-1-0_104070_2014-05-02_final
2014-05-04 10:25:41	ga_ls7e_ard_3-0-0_102069_2014-05-04_final
2014-05-31 10:07:19	ga_ls7e_ard_3-0-0_099069_2014-05-31_final
2014-06-01 10:50:35	ga_ls7e_ard_3-0-0_106069_2014-06-01_final
2014-06-01 10:50:59	ga_ls7e_ard_3-0-0_106070_2014-06-01_final
2014-06-02 09:54:58	ga_ls7e_ard_3-0-0_097069_2014-06-02_final
2014-06-02 09:55:21	ga_ls7e_ard_3-0-0_097070_2014-06-02_final
2014-06-03 10:38:13	ga_ls7e_ard_3-0-0_104069_2014-06-03_final
2014-06-05 10:25:52	ga_ls7e_ard_3-0-0_102069_2014-06-05_final
2014-06-08 10:57:11	ga_ls7e_ard_3-0-0_107070_2014-06-08_final
2014-06-13 11:15:43	ga_ls7e_ard_3-0-0_110070_2014-06-13_final
2014-06-15 11:02:57	ga_ls7e_ard_3-0-0_108069_2014-06-15_final
2014-06-15 11:03:21	ga_ls7e_ard_3-0-0_108070_2014-06-15_final
2014-06-17 10:50:35	ga_ls7e_ard_3-0-0_106069_2014-06-17_final
2014-06-17 10:50:59	ga_ls7e_ard_3-0-0_106070_2014-06-17_final
2014-08-28 10:01:22	ga_ls7e_ard_3-0-0_098069_2014-08-28_final
2014-08-28 10:01:45	ga_ls7e_ard_3-0-0_098070_2014-08-28_final
2014-08-29 10:44:38	ga_ls7e_ard_3-0-0_105069_2014-08-29_final
2014-08-31 10:32:17	ga_ls7e_ard_3-0-0_103069_2014-08-31_final
2014-09-01 11:15:57	ga_ls7e_ard_3-0-0_110070_2014-09-01_final
2014-09-07 10:38:29	ga_ls7e_ard_3-0-0_104069_2014-09-07_final
2014-09-09 10:26:07	ga_ls7e_ard_3-0-0_102069_2014-09-09_final
2014-09-17 11:16:00	ga_ls7e_ard_3-0-0_110070_2014-09-17_final
2014-09-19 11:03:15	ga_ls7e_ard_3-0-0_108069_2014-09-19_final
2014-09-19 11:03:39	ga_ls7e_ard_3-0-0_108070_2014-09-19_final
2014-09-20 10:07:39	ga_ls7e_ard_3-0-0_099069_2014-09-20_final
2014-09-21 10:50:55	ga_ls7e_ard_3-0-0_106069_2014-09-21_final
2014-09-22 09:55:18	ga_ls7e_ard_3-0-0_097069_2014-09-22_final
2014-09-22 09:55:42	ga_ls7e_ard_3-0-0_097070_2014-09-22_final
2014-09-23 10:38:34	ga_ls7e_ard_3-0-0_104069_2014-09-23_final
2014-09-25 10:26:13	ga_ls7e_ard_3-0-0_102069_2014-09-25_final
2014-09-26 11:09:54	ga_ls7e_ard_3-0-0_109070_2014-09-26_final
2014-09-30 10:44:51	ga_ls7e_ard_3-0-0_105069_2014-09-30_final
2014-09-30 10:45:15	ga_ls7e_ard_3-0-0_105070_2014-09-30_final
2014-10-01 09:49:39	ga_ls7e_ard_3-0-0_096070_2014-10-01_final
2014-10-02 10:32:31	ga_ls7e_ard_3-0-0_103069_2014-10-02_final
2014-10-02 10:32:55	ga_ls7e_ard_3-0-0_103070_2014-10-02_final
2014-10-03 11:16:12	ga_ls7e_ard_3-0-0_110070_2014-10-03_final
2014-10-11 10:26:25	ga_ls7e_ard_3-0-0_102069_2014-10-11_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
2016-11-24 10:37:10	ga_ls7e_ard_3-0-0_103069_2016-11-24_final
2016-11-25 11:20:50	ga_ls7e_ard_3-0-0_110070_2016-11-25_final
2016-11-27 11:08:04	ga_ls7e_ard_3-0-0_108069_2016-11-27_final
2016-11-28 10:12:27	ga_ls7e_ard_3-0-0_099069_2016-11-28_final
2016-11-29 10:55:42	ga_ls7e_ard_3-0-0_106069_2016-11-29_final
2016-11-30 10:00:05	ga_ls7e_ard_3-0-0_097069_2016-11-30_final
2016-11-30 10:00:29	ga_ls7e_ard_3-0-0_097070_2016-11-30_final
2016-12-01 10:43:20	ga_ls7e_ard_3-0-0_104069_2016-12-01_final
2016-12-03 10:30:58	ga_ls7e_ard_3-0-0_102069_2016-12-03_final
2016-12-03 10:31:22	ga_ls7e_ard_3-0-0_102070_2016-12-03_final
2016-12-06 11:02:15	ga_ls7e_ard_3-0-0_107070_2016-12-06_final
2016-12-29 11:08:17	ga_ls7e_ard_3-0-0_108070_2016-12-29_final
2016-12-31 10:55:30	ga_ls7e_ard_3-0-0_106069_2016-12-31_final
2017-01-04 10:30:44	ga_ls7e_ard_3-1-0_102069_2017-01-04_final
2017-01-04 10:31:08	ga_ls7e_ard_3-0-0_102070_2017-01-04_final
2017-01-15 10:12:04	ga_ls7e_ard_3-0-0_099069_2017-01-15_final
2017-01-17 10:00:05	ga_ls7e_ard_3-0-0_097070_2017-01-17_final
2017-01-20 10:30:33	ga_ls7e_ard_3-0-0_102069_2017-01-20_final
2017-02-03 10:42:49	ga_ls7e_ard_3-0-0_104069_2017-02-03_final
2017-02-05 10:30:27	ga_ls7e_ard_3-0-0_102069_2017-02-05_final
2017-02-15 11:07:54	ga_ls7e_ard_3-0-0_108070_2017-02-15_final
2018-05-29 10:40:50	ga_ls7e_ard_3-0-0_104069_2018-05-29_final
2018-05-31 10:28:26	ga_ls7e_ard_3-0-0_102069_2018-05-31_final
2018-06-14 10:40:33	ga_ls7e_ard_3-0-0_104069_2018-06-14_final
2018-06-16 10:28:10	ga_ls7e_ard_3-0-0_102069_2018-06-16_final
2018-06-20 10:03:22	ga_ls7e_ard_3-0-0_098069_2018-06-20_final
2018-08-17 10:39:22	ga_ls7e_ard_3-0-0_104069_2018-08-17_final
2018-08-19 10:26:58	ga_ls7e_ard_3-0-0_102069_2018-08-19_final
2018-08-23 10:02:10	ga_ls7e_ard_3-0-0_098069_2018-08-23_final
2018-08-24 10:45:24	ga_ls7e_ard_3-0-0_105069_2018-08-24_final
2018-08-29 11:03:50	ga_ls7e_ard_3-0-0_108069_2018-08-29_final
2018-08-30 10:08:12	ga_ls7e_ard_3-0-0_099069_2018-08-30_final
2018-08-30 10:08:36	ga_ls7e_ard_3-0-0_099070_2018-08-30_final
2018-08-31 10:51:26	ga_ls7e_ard_3-0-0_106069_2018-08-31_final
2018-09-01 09:55:48	ga_ls7e_ard_3-0-0_097069_2018-09-01_final
2018-09-01 09:56:12	ga_ls7e_ard_3-0-0_097070_2018-09-01_final
2019-10-30 10:30:58	ga_ls7e_ard_3-1-0_105069_2019-10-30_final
2019-11-24 10:23:38	ga_ls7e_ard_3-1-0_104069_2019-11-24_final
2019-11-26 10:11:11	ga_ls7e_ard_3-1-0_102069_2019-11-26_final
2019-11-30 09:46:16	ga_ls7e_ard_3-1-0_098069_2019-11-30_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