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
2009-10-17 09:53:31	ga_ls7e_ard_3-0-0_098068_2009-10-17_final
2009-10-17 09:53:55	ga_ls7e_ard_3-0-0_098069_2009-10-17_final
2009-10-18 10:36:48	ga_ls7e_ard_3-0-0_105068_2009-10-18_final
2009-10-20 10:24:28	ga_ls7e_ard_3-0-0_103068_2009-10-20_final
2009-10-20 10:24:52	ga_ls7e_ard_3-0-0_103069_2009-10-20_final
2009-11-02 09:53:47	ga_ls7e_ard_3-0-0_098068_2009-11-02_final
2009-12-04 09:54:34	ga_ls7e_ard_3-0-0_098069_2009-12-04_final
2009-12-05 10:37:27	ga_ls7e_ard_3-0-0_105068_2009-12-05_final
2009-12-05 10:37:51	ga_ls7e_ard_3-0-0_105069_2009-12-05_final
2009-12-07 10:25:06	ga_ls7e_ard_3-0-0_103068_2009-12-07_final
2009-12-11 10:00:26	ga_ls7e_ard_3-0-0_099068_2009-12-11_final
2010-01-06 10:37:59	ga_ls7e_ard_3-0-0_105068_2010-01-06_final
2010-01-08 10:25:39	ga_ls7e_ard_3-0-0_103068_2010-01-08_final
2010-01-15 10:31:57	ga_ls7e_ard_3-0-0_104068_2010-01-15_final
2010-01-15 10:32:20	ga_ls7e_ard_3-0-0_104069_2010-01-15_final
2010-02-02 10:19:50	ga_ls7e_ard_3-0-0_102068_2010-02-02_final
2010-02-06 09:55:09	ga_ls7e_ard_3-0-0_098068_2010-02-06_final
2010-02-07 10:38:26	ga_ls7e_ard_3-0-0_105068_2010-02-07_final
2010-02-09 10:26:06	ga_ls7e_ard_3-0-0_103068_2010-02-09_final
2010-02-09 10:26:29	ga_ls7e_ard_3-0-0_103069_2010-02-09_final
2010-02-12 09:18:09	ga_ls7e_ard_3-0-0_092068_2010-02-11_final
2010-03-21 11:15:51	ga_ls7e_ard_3-0-0_111068_2010-03-21_final
2010-03-22 10:20:14	ga_ls7e_ard_3-0-0_102068_2010-03-22_final
2010-03-25 09:12:16	ga_ls7e_ard_3-1-0_091068_2010-03-24_final
2010-04-05 10:33:02	ga_ls7e_ard_3-0-0_104069_2010-04-05_final
2010-04-06 11:15:54	ga_ls7e_ard_3-0-0_111068_2010-04-06_final
2010-04-07 10:20:17	ga_ls7e_ard_3-0-0_102068_2010-04-07_final
2016-07-11 11:26:15	ga_ls7e_ard_3-0-0_111068_2016-07-11_final
2016-07-12 10:30:37	ga_ls7e_ard_3-0-0_102068_2016-07-12_final
2016-07-12 10:31:01	ga_ls7e_ard_3-0-0_102069_2016-07-12_final
2016-07-16 10:05:55	ga_ls7e_ard_3-0-0_098068_2016-07-16_final
2016-07-16 10:06:19	ga_ls7e_ard_3-0-0_098069_2016-07-16_final
2016-08-04 10:36:52	ga_ls7e_ard_3-0-0_103068_2016-08-04_final
2016-08-12 11:26:19	ga_ls7e_ard_3-0-0_111068_2016-08-12_final
2016-08-13 10:31:05	ga_ls7e_ard_3-0-0_102069_2016-08-13_final
2016-08-17 10:05:58	ga_ls7e_ard_3-0-0_098068_2016-08-17_final
2016-08-17 10:06:22	ga_ls7e_ard_3-0-0_098069_2016-08-17_final
2016-08-18 10:49:14	ga_ls7e_ard_3-0-0_105068_2016-08-18_final
2016-08-20 10:36:53	ga_ls7e_ard_3-0-0_103068_2016-08-20_final
2016-08-20 10:37:17	ga_ls7e_ard_3-0-0_103069_2016-08-20_final
2016-10-04 10:06:06	ga_ls7e_ard_3-0-0_098068_2016-10-04_final
2016-10-04 10:06:30	ga_ls7e_ard_3-0-0_098069_2016-10-04_final
2016-10-05 10:49:22	ga_ls7e_ard_3-0-0_105068_2016-10-05_final
2016-10-21 10:49:20	ga_ls7e_ard_3-0-0_105068_2016-10-21_final
2016-10-21 10:49:44	ga_ls7e_ard_3-0-0_105069_2016-10-21_final
2016-11-08 10:36:51	ga_ls7e_ard_3-0-0_103068_2016-11-08_final
2016-11-08 10:37:15	ga_ls7e_ard_3-0-0_103069_2016-11-08_final
2016-11-12 10:12:06	ga_ls7e_ard_3-0-0_099068_2016-11-12_final
2016-11-12 10:12:30	ga_ls7e_ard_3-0-0_099069_2016-11-12_final
2016-11-21 10:05:53	ga_ls7e_ard_3-0-0_098068_2016-11-21_final
2017-01-24 10:05:23	ga_ls7e_ard_3-0-0_098068_2017-01-24_final
2017-02-03 10:42:25	ga_ls7e_ard_3-0-0_104068_2017-02-03_final
2017-02-05 10:30:27	ga_ls7e_ard_3-0-0_102069_2017-02-05_final
2017-02-10 10:48:30	ga_ls7e_ard_3-0-0_105068_2017-02-10_final
2017-02-20 11:25:42	ga_ls7e_ard_3-0-0_111068_2017-02-20_final
2017-02-21 10:30:05	ga_ls7e_ard_3-0-0_102068_2017-02-21_final
2017-02-28 10:36:19	ga_ls7e_ard_3-0-0_103068_2017-02-28_final
2017-03-04 10:11:38	ga_ls7e_ard_3-0-0_099068_2017-03-04_final
2017-04-06 10:55:03	ga_ls7e_ard_3-0-0_106068_2017-04-06_final
2017-04-08 10:42:43	ga_ls7e_ard_3-0-0_104068_2017-04-08_final
2017-04-09 11:25:59	ga_ls7e_ard_3-0-0_111068_2017-04-09_final
2017-04-10 10:30:22	ga_ls7e_ard_3-0-0_102068_2017-04-10_final
2017-04-15 10:48:57	ga_ls7e_ard_3-0-0_105068_2017-04-15_final
2017-04-15 10:49:21	ga_ls7e_ard_3-0-0_105069_2017-04-15_final
2017-04-17 10:36:36	ga_ls7e_ard_3-0-0_103068_2017-04-17_final
2017-04-17 10:37:00	ga_ls7e_ard_3-0-0_103069_2017-04-17_final
2017-04-24 10:42:50	ga_ls7e_ard_3-0-0_104068_2017-04-24_final
2017-04-25 11:26:06	ga_ls7e_ard_3-0-0_111068_2017-04-25_final
2017-05-06 11:08:01	ga_ls7e_ard_3-0-0_108069_2017-05-06_final
2017-06-20 10:36:53	ga_ls7e_ard_3-0-0_103068_2017-06-20_final
2017-07-22 10:36:54	ga_ls7e_ard_3-0-0_103068_2017-07-22_final
2017-08-05 10:49:14	ga_ls7e_ard_3-0-0_105068_2017-08-05_final
2017-08-05 10:49:38	ga_ls7e_ard_3-0-0_105069_2017-08-05_final
2017-08-07 10:36:52	ga_ls7e_ard_3-0-0_103068_2017-08-07_final
2017-08-07 10:37:16	ga_ls7e_ard_3-0-0_103069_2017-08-07_final
2017-09-16 11:26:16	ga_ls7e_ard_3-0-0_111068_2017-09-16_final
2017-09-17 10:30:39	ga_ls7e_ard_3-0-0_102068_2017-09-17_final
2017-09-17 10:31:03	ga_ls7e_ard_3-0-0_102069_2017-09-17_final
2017-10-01 10:43:02	ga_ls7e_ard_3-0-0_104068_2017-10-01_final
2017-10-01 10:43:25	ga_ls7e_ard_3-0-0_104069_2017-10-01_final
2017-10-02 11:26:17	ga_ls7e_ard_3-0-0_111068_2017-10-02_final
2017-10-03 10:30:40	ga_ls7e_ard_3-0-0_102068_2017-10-03_final
2017-10-03 10:31:04	ga_ls7e_ard_3-0-0_102069_2017-10-03_final
2017-10-07 10:05:57	ga_ls7e_ard_3-0-0_098068_2017-10-07_final
2017-10-08 10:49:13	ga_ls7e_ard_3-0-0_105068_2017-10-08_final
2017-10-08 10:49:37	ga_ls7e_ard_3-0-0_105069_2017-10-08_final
2017-11-09 10:49:14	ga_ls7e_ard_3-0-0_105068_2017-11-09_final
2017-11-09 10:49:37	ga_ls7e_ard_3-0-0_105069_2017-11-09_final
2017-11-11 10:36:51	ga_ls7e_ard_3-0-0_103068_2017-11-11_final
2017-12-01 10:12:01	ga_ls7e_ard_3-0-0_099068_2017-12-01_final
2017-12-02 10:55:17	ga_ls7e_ard_3-0-0_106068_2017-12-02_final
2017-12-03 10:00:03	ga_ls7e_ard_3-0-0_097069_2017-12-03_final
2017-12-04 10:42:54	ga_ls7e_ard_3-0-0_104068_2017-12-04_final
2017-12-04 10:43:18	ga_ls7e_ard_3-0-0_104069_2017-12-04_final
2017-12-06 10:30:31	ga_ls7e_ard_3-0-0_102068_2017-12-06_final
2018-03-28 10:29:06	ga_ls7e_ard_3-0-0_102068_2018-03-28_final
2018-03-28 10:29:30	ga_ls7e_ard_3-0-0_102069_2018-03-28_final
2018-08-14 10:08:07	ga_ls7e_ard_3-0-0_099068_2018-08-14_final
2018-08-14 10:08:31	ga_ls7e_ard_3-0-0_099069_2018-08-14_final
2018-08-15 10:51:22	ga_ls7e_ard_3-0-0_106068_2018-08-15_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