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
1999-07-24 10:58:22	ga_ls7e_ard_3-0-0_108069_1999-07-24_final
1999-07-25 10:02:21	ga_ls7e_ard_3-0-0_099068_1999-07-25_final
1999-07-25 10:02:45	ga_ls7e_ard_3-0-0_099069_1999-07-25_final
1999-07-26 10:45:38	ga_ls7e_ard_3-0-0_106068_1999-07-26_final
1999-07-26 10:46:02	ga_ls7e_ard_3-0-0_106069_1999-07-26_final
1999-08-04 10:39:31	ga_ls7e_ard_3-0-0_105068_1999-08-04_final
2000-01-05 11:16:31	ga_ls7e_ard_3-0-0_111068_2000-01-05_final
2000-01-06 10:20:54	ga_ls7e_ard_3-0-0_102068_2000-01-06_final
2000-01-06 10:21:18	ga_ls7e_ard_3-0-0_102069_2000-01-06_final
2004-02-16 10:29:33	ga_ls7e_ard_3-0-0_104068_2004-02-16_final
2004-02-16 10:29:56	ga_ls7e_ard_3-0-0_104069_2004-02-16_final
2004-02-18 10:17:11	ga_ls7e_ard_3-0-0_102068_2004-02-18_final
2004-02-18 10:17:35	ga_ls7e_ard_3-0-0_102069_2004-02-18_final
2004-03-03 10:29:36	ga_ls7e_ard_3-0-0_104068_2004-03-03_final
2004-03-03 10:29:59	ga_ls7e_ard_3-0-0_104069_2004-03-03_final
2004-03-05 10:17:15	ga_ls7e_ard_3-0-0_102068_2004-03-05_final
2004-03-05 10:17:39	ga_ls7e_ard_3-0-0_102069_2004-03-05_final
2004-03-25 09:52:38	ga_ls7e_ard_3-0-0_098068_2004-03-25_final
2004-03-25 09:53:02	ga_ls7e_ard_3-0-0_098069_2004-03-25_final
2004-03-26 10:35:53	ga_ls7e_ard_3-0-0_105068_2004-03-26_final
2004-03-26 10:36:17	ga_ls7e_ard_3-0-0_105069_2004-03-26_final
2004-04-01 09:58:48	ga_ls7e_ard_3-0-0_099068_2004-04-01_final
2004-04-01 09:59:12	ga_ls7e_ard_3-0-0_099069_2004-04-01_final
2004-04-02 10:42:03	ga_ls7e_ard_3-0-0_106068_2004-04-02_final
2004-04-02 10:42:27	ga_ls7e_ard_3-0-0_106069_2004-04-02_final
2004-04-03 09:46:50	ga_ls7e_ard_3-0-0_097069_2004-04-03_final
2004-04-04 10:29:41	ga_ls7e_ard_3-0-0_104068_2004-04-04_final
2004-04-04 10:30:05	ga_ls7e_ard_3-0-0_104069_2004-04-04_final
2004-04-06 10:17:19	ga_ls7e_ard_3-0-0_102068_2004-04-06_final
2004-04-06 10:17:43	ga_ls7e_ard_3-0-0_102069_2004-04-06_final
2004-08-16 09:52:09	ga_ls7e_ard_3-0-0_098068_2004-08-16_final
2004-08-16 09:52:33	ga_ls7e_ard_3-0-0_098069_2004-08-16_final
2004-08-17 10:35:24	ga_ls7e_ard_3-0-0_105068_2004-08-17_final
2004-08-17 10:35:48	ga_ls7e_ard_3-0-0_105069_2004-08-17_final
2004-08-19 10:23:03	ga_ls7e_ard_3-0-0_103068_2004-08-19_final
2004-08-19 10:23:27	ga_ls7e_ard_3-0-0_103069_2004-08-19_final
2004-09-07 10:54:15	ga_ls7e_ard_3-0-0_108069_2004-09-07_final
2004-09-09 10:41:28	ga_ls7e_ard_3-0-0_106068_2004-09-09_final
2004-09-09 10:41:52	ga_ls7e_ard_3-0-0_106069_2004-09-09_final
2006-05-03 10:36:40	ga_ls7e_ard_3-0-0_105068_2006-05-03_final
2006-05-03 10:37:04	ga_ls7e_ard_3-0-0_105069_2006-05-03_final
2006-07-13 10:42:36	ga_ls7e_ard_3-0-0_106068_2006-07-13_final
2006-07-15 10:30:13	ga_ls7e_ard_3-0-0_104068_2006-07-15_final
2006-07-15 10:30:37	ga_ls7e_ard_3-0-0_104069_2006-07-15_final
2006-07-16 11:13:28	ga_ls7e_ard_3-0-0_111068_2006-07-16_final
2006-07-17 10:17:51	ga_ls7e_ard_3-0-0_102068_2006-07-17_final
2006-07-17 10:18:14	ga_ls7e_ard_3-0-0_102069_2006-07-17_final
2017-01-16 10:54:55	ga_ls7e_ard_3-0-0_106068_2017-01-16_final
2017-01-16 10:55:19	ga_ls7e_ard_3-0-0_106069_2017-01-16_final
2017-01-18 10:42:32	ga_ls7e_ard_3-0-0_104068_2017-01-18_final
2017-01-20 10:30:09	ga_ls7e_ard_3-0-0_102068_2017-01-20_final
2017-01-20 10:30:33	ga_ls7e_ard_3-0-0_102069_2017-01-20_final
2017-01-24 10:05:23	ga_ls7e_ard_3-0-0_098068_2017-01-24_final
2017-01-25 10:48:38	ga_ls7e_ard_3-0-0_105068_2017-01-25_final
2017-01-25 10:49:02	ga_ls7e_ard_3-0-0_105069_2017-01-25_final
2017-02-17 10:54:46	ga_ls7e_ard_3-0-0_106068_2017-02-17_final
2017-02-17 10:55:10	ga_ls7e_ard_3-0-0_106069_2017-02-17_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
2017-02-21 10:30:29	ga_ls7e_ard_3-0-0_102069_2017-02-21_final
2017-03-16 10:36:26	ga_ls7e_ard_3-0-0_103068_2017-03-16_final
2017-03-20 10:11:44	ga_ls7e_ard_3-0-0_099068_2017-03-20_final
2017-03-21 10:55:23	ga_ls7e_ard_3-0-0_106069_2017-03-21_final
2017-03-22 09:59:46	ga_ls7e_ard_3-0-0_097069_2017-03-22_final
2017-03-23 10:42:38	ga_ls7e_ard_3-0-0_104068_2017-03-23_final
2017-03-23 10:43:02	ga_ls7e_ard_3-0-0_104069_2017-03-23_final
2017-04-06 10:55:03	ga_ls7e_ard_3-0-0_106068_2017-04-06_final
2017-04-06 10:55:27	ga_ls7e_ard_3-0-0_106069_2017-04-06_final
2017-04-08 10:42:43	ga_ls7e_ard_3-0-0_104068_2017-04-08_final
2017-04-08 10:43:07	ga_ls7e_ard_3-0-0_104069_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
2017-09-05 10:05:57	ga_ls7e_ard_3-0-0_098068_2017-09-05_final
2017-09-05 10:06:21	ga_ls7e_ard_3-0-0_098069_2017-09-05_final
2017-09-06 10:49:13	ga_ls7e_ard_3-0-0_105068_2017-09-06_final
2017-09-06 10:49:37	ga_ls7e_ard_3-0-0_105069_2017-09-06_final
2019-11-30 09:45:52	ga_ls7e_ard_3-1-0_098068_2019-11-30_final
2019-11-30 09:46:16	ga_ls7e_ard_3-1-0_098069_2019-11-30_final
2019-12-01 10:29:05	ga_ls7e_ard_3-1-0_105068_2019-12-01_final
2019-12-16 09:45:05	ga_ls7e_ard_3-1-0_098068_2019-12-16_final
2019-12-16 09:45:28	ga_ls7e_ard_3-1-0_098069_2019-12-16_final
2019-12-17 10:28:17	ga_ls7e_ard_3-1-0_105068_2019-12-17_final
2019-12-19 10:15:49	ga_ls7e_ard_3-1-0_103068_2019-12-19_final
2019-12-23 09:50:54	ga_ls7e_ard_3-1-0_099068_2019-12-23_final
2019-12-24 10:34:06	ga_ls7e_ard_3-1-0_106068_2019-12-24_final
2019-12-24 10:34:30	ga_ls7e_ard_3-1-0_106069_2019-12-24_final
2019-12-25 09:38:50	ga_ls7e_ard_3-1-0_097069_2019-12-25_final
2019-12-26 10:21:38	ga_ls7e_ard_3-1-0_104068_2019-12-26_final
2020-03-06 10:24:10	ga_ls7e_ard_3-1-0_105068_2020-03-06_final
2020-03-06 10:24:34	ga_ls7e_ard_3-1-0_105069_2020-03-06_final
2020-04-30 10:27:13	ga_ls7e_ard_3-1-0_106068_2020-04-30_final
2020-05-02 10:14:44	ga_ls7e_ard_3-1-0_104068_2020-05-02_final
2020-05-08 09:37:18	ga_ls7e_ard_3-1-0_098068_2020-05-08_final
2020-05-09 10:20:30	ga_ls7e_ard_3-1-0_105068_2020-05-09_final
2020-05-11 10:08:01	ga_ls7e_ard_3-1-0_103068_2020-05-11_final
2020-06-10 10:18:35	ga_ls7e_ard_3-1-0_105068_2020-06-10_final
2020-06-12 10:06:06	ga_ls7e_ard_3-1-0_103068_2020-06-12_final
2020-06-12 10:06:30	ga_ls7e_ard_3-1-0_103069_2020-06-12_final
2020-07-03 10:23:24	ga_ls7e_ard_3-1-0_106068_2020-07-03_final
2020-07-05 10:10:55	ga_ls7e_ard_3-1-0_104068_2020-07-05_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