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
2005-04-30 10:36:35	ga_ls7e_ard_3-0-0_105069_2005-04-30_final
2005-04-30 10:36:59	ga_ls7e_ard_3-0-0_105070_2005-04-30_final
2005-05-01 09:41:22	ga_ls7e_ard_3-0-0_096070_2005-05-01_final
2005-05-05 10:55:09	ga_ls7e_ard_3-0-0_108069_2005-05-05_final
2005-05-05 10:55:33	ga_ls7e_ard_3-0-0_108070_2005-05-05_final
2005-05-06 09:59:32	ga_ls7e_ard_3-0-0_099069_2005-05-06_final
2005-05-06 09:59:56	ga_ls7e_ard_3-0-0_099070_2005-05-06_final
2005-05-07 10:42:48	ga_ls7e_ard_3-0-0_106069_2005-05-07_final
2005-05-07 10:43:12	ga_ls7e_ard_3-0-0_106070_2005-05-07_final
2005-05-08 09:47:35	ga_ls7e_ard_3-0-0_097070_2005-05-08_final
2005-05-21 10:55:09	ga_ls7e_ard_3-0-0_108069_2005-05-21_final
2005-05-21 10:55:33	ga_ls7e_ard_3-0-0_108070_2005-05-21_final
2005-05-22 09:59:32	ga_ls7e_ard_3-0-0_099069_2005-05-22_final
2005-05-22 09:59:56	ga_ls7e_ard_3-0-0_099070_2005-05-22_final
2005-05-23 10:42:47	ga_ls7e_ard_3-0-0_106069_2005-05-23_final
2005-05-23 10:43:11	ga_ls7e_ard_3-0-0_106070_2005-05-23_final
2005-05-24 09:47:10	ga_ls7e_ard_3-0-0_097069_2005-05-24_final
2005-05-24 09:47:33	ga_ls7e_ard_3-0-0_097070_2005-05-24_final
2005-05-25 10:30:25	ga_ls7e_ard_3-0-0_104069_2005-05-25_final
2005-05-25 10:30:49	ga_ls7e_ard_3-1-0_104070_2005-05-25_final
2005-06-07 09:59:26	ga_ls7e_ard_3-0-0_099069_2005-06-07_final
2005-06-07 09:59:50	ga_ls7e_ard_3-0-0_099070_2005-06-07_final
2005-06-08 10:42:41	ga_ls7e_ard_3-0-0_106069_2005-06-08_final
2005-06-09 09:47:28	ga_ls7e_ard_3-0-0_097070_2005-06-09_final
2005-06-10 10:30:19	ga_ls7e_ard_3-0-0_104069_2005-06-10_final
2005-06-10 10:30:43	ga_ls7e_ard_3-1-0_104070_2005-06-10_final
2005-06-12 10:17:56	ga_ls7e_ard_3-0-0_102069_2005-06-12_final
2005-06-12 10:18:20	ga_ls7e_ard_3-0-0_102070_2005-06-12_final
2005-06-13 11:01:35	ga_ls7e_ard_3-0-0_109070_2005-06-13_final
2005-06-15 10:49:13	ga_ls7e_ard_3-0-0_107070_2005-06-15_final
2005-06-16 09:53:11	ga_ls7e_ard_3-0-0_098069_2005-06-16_final
2005-06-16 09:53:35	ga_ls7e_ard_3-0-0_098070_2005-06-16_final
2005-06-17 10:36:27	ga_ls7e_ard_3-0-0_105069_2005-06-17_final
2005-06-17 10:36:51	ga_ls7e_ard_3-0-0_105070_2005-06-17_final
2005-06-20 11:07:44	ga_ls7e_ard_3-0-0_110070_2005-06-20_final
2005-06-22 10:54:58	ga_ls7e_ard_3-0-0_108069_2005-06-22_final
2005-06-22 10:55:22	ga_ls7e_ard_3-0-0_108070_2005-06-22_final
2005-08-18 10:49:05	ga_ls7e_ard_3-0-0_107070_2005-08-18_final
2005-08-19 09:53:03	ga_ls7e_ard_3-0-0_098069_2005-08-19_final
2005-08-19 09:53:27	ga_ls7e_ard_3-0-0_098070_2005-08-19_final
2005-10-16 10:29:58	ga_ls7e_ard_3-0-0_104069_2005-10-16_final
2005-10-16 10:30:22	ga_ls7e_ard_3-1-0_104070_2005-10-16_final
2005-10-18 10:17:38	ga_ls7e_ard_3-0-0_102069_2005-10-18_final
2005-10-18 10:18:02	ga_ls7e_ard_3-0-0_102070_2005-10-18_final
2005-10-19 11:01:18	ga_ls7e_ard_3-0-0_109070_2005-10-19_final
2005-10-21 10:48:58	ga_ls7e_ard_3-0-0_107070_2005-10-21_final
2005-10-30 10:42:31	ga_ls7e_ard_3-0-0_106069_2005-10-30_final
2005-10-30 10:42:55	ga_ls7e_ard_3-0-0_106070_2005-10-30_final
2005-10-31 09:46:54	ga_ls7e_ard_3-0-0_097069_2005-10-31_final
2005-10-31 09:47:18	ga_ls7e_ard_3-0-0_097070_2005-10-31_final
2005-11-01 10:30:10	ga_ls7e_ard_3-0-0_104069_2005-11-01_final
2005-11-01 10:30:34	ga_ls7e_ard_3-1-0_104070_2005-11-01_final
2005-11-03 10:17:50	ga_ls7e_ard_3-0-0_102069_2005-11-03_final
2005-11-03 10:18:14	ga_ls7e_ard_3-0-0_102070_2005-11-03_final
2016-06-22 10:55:45	ga_ls7e_ard_3-0-0_106069_2016-06-22_final
2016-06-22 10:56:09	ga_ls7e_ard_3-0-0_106070_2016-06-22_final
2016-06-23 10:00:32	ga_ls7e_ard_3-0-0_097070_2016-06-23_final
2016-06-24 10:43:24	ga_ls7e_ard_3-0-0_104069_2016-06-24_final
2016-06-24 10:43:47	ga_ls7e_ard_3-1-0_104070_2016-06-24_final
2016-06-26 10:31:02	ga_ls7e_ard_3-0-0_102069_2016-06-26_final
2016-06-26 10:31:26	ga_ls7e_ard_3-0-0_102070_2016-06-26_final
2016-06-27 11:14:42	ga_ls7e_ard_3-0-0_109070_2016-06-27_final
2016-10-04 10:06:30	ga_ls7e_ard_3-0-0_098069_2016-10-04_final
2016-10-04 10:06:54	ga_ls7e_ard_3-0-0_098070_2016-10-04_final
2016-10-05 10:49:46	ga_ls7e_ard_3-0-0_105069_2016-10-05_final
2016-10-05 10:50:10	ga_ls7e_ard_3-0-0_105070_2016-10-05_final
2016-11-24 10:37:10	ga_ls7e_ard_3-0-0_103069_2016-11-24_final
2016-11-24 10:37:34	ga_ls7e_ard_3-0-0_103070_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
2016-11-27 11:08:28	ga_ls7e_ard_3-0-0_108070_2016-11-27_final
2016-11-28 10:12:27	ga_ls7e_ard_3-0-0_099069_2016-11-28_final
2016-11-28 10:12:51	ga_ls7e_ard_3-0-0_099070_2016-11-28_final
2016-11-29 10:55:42	ga_ls7e_ard_3-0-0_106069_2016-11-29_final
2016-11-29 10:56:06	ga_ls7e_ard_3-0-0_106070_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
2016-12-01 10:43:44	ga_ls7e_ard_3-1-0_104070_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
2016-12-04 11:14:38	ga_ls7e_ard_3-0-0_109070_2016-12-04_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
2016-12-31 10:55:54	ga_ls7e_ard_3-0-0_106070_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
2017-01-17 10:00:05	ga_ls7e_ard_3-0-0_097070_2017-01-17_final
2017-01-18 10:43:20	ga_ls7e_ard_3-1-0_104070_2017-01-18_final
2017-01-20 10:30:33	ga_ls7e_ard_3-0-0_102069_2017-01-20_final
2017-01-20 10:30:57	ga_ls7e_ard_3-0-0_102070_2017-01-20_final
2019-07-09 09:52:28	ga_ls7e_ard_3-0-0_098069_2019-07-09_final
2019-07-10 10:35:41	ga_ls7e_ard_3-0-0_105069_2019-07-10_final
2019-07-10 10:36:05	ga_ls7e_ard_3-0-0_105070_2019-07-10_final
2019-10-04 09:55:00	ga_ls7e_ard_3-1-0_099069_2019-10-04_final
2019-10-04 09:55:24	ga_ls7e_ard_3-1-0_099070_2019-10-04_final
2019-10-05 10:38:13	ga_ls7e_ard_3-1-0_106069_2019-10-05_final
2019-10-06 09:42:33	ga_ls7e_ard_3-1-0_097069_2019-10-06_final
2020-01-07 10:46:32	ga_ls7e_ard_3-1-0_108070_2020-01-07_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