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
1999-09-15 09:37:14	ga_ls7e_ard_3-0-0_095067_1999-09-15_final
1999-09-15 11:16:07	ga_ls7e_ard_3-0-0_111067_1999-09-15_final
1999-10-29 10:02:01	ga_ls7e_ard_3-0-0_099067_1999-10-29_final
1999-11-02 09:37:17	ga_ls7e_ard_3-0-0_095067_1999-11-02_final
1999-11-02 11:16:10	ga_ls7e_ard_3-0-0_111067_1999-11-02_final
1999-12-16 10:02:05	ga_ls7e_ard_3-0-0_099067_1999-12-16_final
1999-12-20 09:37:20	ga_ls7e_ard_3-0-0_095067_1999-12-20_final
1999-12-21 10:20:59	ga_ls7e_ard_3-0-0_102068_1999-12-21_final
1999-12-29 11:09:53	ga_ls7e_ard_3-0-0_110067_1999-12-29_final
2000-01-01 10:01:56	ga_ls7e_ard_3-0-0_099067_2000-01-01_final
2000-04-03 09:30:43	ga_ls7e_ard_3-1-0_094067_2000-04-03_final
2000-04-03 11:09:36	ga_ls7e_ard_3-0-0_110067_2000-04-03_final
2000-04-08 11:28:04	ga_ls7e_ard_3-0-0_113067_2000-04-08_final
2000-04-10 09:36:47	ga_ls7e_ard_3-0-0_095067_2000-04-10_final
2000-04-10 11:15:40	ga_ls7e_ard_3-0-0_111067_2000-04-10_final
2000-04-12 09:24:22	ga_ls7e_ard_3-0-0_093067_2000-04-11_final
2000-05-01 09:55:14	ga_ls7e_ard_3-0-0_098067_2000-05-01_final
2006-06-22 10:24:13	ga_ls7e_ard_3-0-0_103068_2006-06-22_final
2006-06-23 11:07:04	ga_ls7e_ard_3-0-0_110067_2006-06-23_final
2006-07-05 09:52:49	ga_ls7e_ard_3-0-0_098067_2006-07-05_final
2006-07-05 09:53:13	ga_ls7e_ard_3-0-0_098068_2006-07-05_final
2006-07-05 11:31:42	ga_ls7e_ard_3-0-0_114067_2006-07-05_final
2006-07-21 09:52:41	ga_ls7e_ard_3-0-0_098067_2006-07-21_final
2006-07-21 09:53:05	ga_ls7e_ard_3-0-0_098068_2006-07-21_final
2006-07-21 11:31:34	ga_ls7e_ard_3-0-0_114067_2006-07-21_final
2006-08-13 09:59:12	ga_ls7e_ard_3-0-0_099068_2006-08-13_final
2006-08-14 10:42:28	ga_ls7e_ard_3-0-0_106068_2006-08-14_final
2006-08-22 09:52:36	ga_ls7e_ard_3-0-0_098067_2006-08-22_final
2006-08-22 09:53:00	ga_ls7e_ard_3-0-0_098068_2006-08-22_final
2006-08-22 11:31:29	ga_ls7e_ard_3-0-0_114067_2006-08-22_final
2006-08-23 10:36:16	ga_ls7e_ard_3-0-0_105068_2006-08-23_final
2006-08-24 11:19:07	ga_ls7e_ard_3-0-0_112067_2006-08-24_final
2006-08-25 10:23:54	ga_ls7e_ard_3-0-0_103068_2006-08-25_final
2006-10-16 09:58:37	ga_ls7e_ard_3-0-0_099067_2006-10-16_final
2006-10-16 09:59:01	ga_ls7e_ard_3-0-0_099068_2006-10-16_final
2006-11-21 09:34:24	ga_ls7e_ard_3-0-0_095067_2006-11-21_final
2006-11-21 11:13:17	ga_ls7e_ard_3-0-0_111067_2006-11-21_final
2006-11-21 11:13:41	ga_ls7e_ard_3-0-0_111068_2006-11-21_final
2006-11-22 10:18:04	ga_ls7e_ard_3-0-0_102068_2006-11-22_final
2006-11-23 09:22:04	ga_ls7e_ard_3-0-0_093067_2006-11-22_final
2008-06-28 11:06:43	ga_ls7e_ard_3-0-0_110067_2008-06-28_final
2008-07-01 09:58:42	ga_ls7e_ard_3-0-0_099067_2008-07-01_final
2008-07-03 11:25:12	ga_ls7e_ard_3-0-0_113067_2008-07-03_final
2008-08-27 11:30:54	ga_ls7e_ard_3-0-0_114067_2008-08-27_final
2008-08-29 09:39:39	ga_ls7e_ard_3-0-0_096067_2008-08-29_final
2008-08-29 11:18:32	ga_ls7e_ard_3-0-0_112067_2008-08-29_final
2008-08-31 09:27:16	ga_ls7e_ard_3-1-0_094067_2008-08-30_final
2008-09-12 09:51:53	ga_ls7e_ard_3-0-0_098067_2008-09-12_final
2008-09-12 11:30:46	ga_ls7e_ard_3-0-0_114067_2008-09-12_final
2008-09-14 11:18:24	ga_ls7e_ard_3-0-0_112067_2008-09-14_final
2008-09-16 09:27:08	ga_ls7e_ard_3-1-0_094067_2008-09-15_final
2008-09-16 11:06:01	ga_ls7e_ard_3-0-0_110067_2008-09-16_final
2009-02-06 10:24:04	ga_ls7e_ard_3-0-0_103068_2009-02-06_final
2009-02-07 09:28:03	ga_ls7e_ard_3-1-0_094067_2009-02-06_final
2017-01-19 09:46:31	ga_ls7e_ard_3-0-0_095067_2017-01-19_final
2017-01-20 10:30:09	ga_ls7e_ard_3-0-0_102068_2017-01-20_final
2017-02-17 10:54:46	ga_ls7e_ard_3-0-0_106068_2017-02-17_final
2017-02-18 11:37:38	ga_ls7e_ard_3-0-0_113067_2017-02-18_final
2017-02-20 09:46:25	ga_ls7e_ard_3-0-0_095067_2017-02-20_final
2017-02-20 11:25:18	ga_ls7e_ard_3-0-0_111067_2017-02-20_final
2017-02-20 11:25:42	ga_ls7e_ard_3-0-0_111068_2017-02-20_final
2017-04-07 11:37:56	ga_ls7e_ard_3-0-0_113067_2017-04-07_final
2017-04-08 10:42:43	ga_ls7e_ard_3-0-0_104068_2017-04-08_final
2017-04-09 11:25:35	ga_ls7e_ard_3-0-0_111067_2017-04-09_final
2017-04-09 11:25:59	ga_ls7e_ard_3-0-0_111068_2017-04-09_final
2017-08-29 11:38:16	ga_ls7e_ard_3-0-0_113067_2017-08-29_final
2017-08-31 11:25:54	ga_ls7e_ard_3-0-0_111067_2017-08-31_final
2017-08-31 11:26:18	ga_ls7e_ard_3-0-0_111068_2017-08-31_final
2017-09-01 10:30:41	ga_ls7e_ard_3-0-0_102068_2017-09-01_final
2019-10-15 09:35:12	ga_ls7e_ard_3-1-0_096067_2019-10-15_final
2019-10-15 11:14:05	ga_ls7e_ard_3-1-0_112067_2019-10-15_final
2019-10-17 09:22:46	ga_ls7e_ard_3-1-0_094067_2019-10-16_final
2019-10-17 11:01:38	ga_ls7e_ard_3-1-0_110067_2019-10-17_final
2019-10-20 09:53:32	ga_ls7e_ard_3-1-0_099067_2019-10-20_final
2019-11-05 09:52:50	ga_ls7e_ard_3-1-0_099067_2019-11-05_final
2019-11-07 11:19:15	ga_ls7e_ard_3-1-0_113067_2019-11-07_final
2019-12-16 09:44:41	ga_ls7e_ard_3-1-0_098067_2019-12-16_final
2019-12-16 11:23:33	ga_ls7e_ard_3-1-0_114067_2019-12-16_final
2019-12-18 09:32:13	ga_ls7e_ard_3-1-0_096067_2019-12-18_final
2019-12-18 11:11:06	ga_ls7e_ard_3-1-0_112067_2019-12-18_final
2019-12-20 09:19:45	ga_ls7e_ard_3-1-0_094067_2019-12-19_final
2019-12-20 10:58:38	ga_ls7e_ard_3-1-0_110067_2019-12-20_final
2020-02-06 10:56:12	ga_ls7e_ard_3-1-0_110067_2020-02-06_final
2020-02-11 11:14:29	ga_ls7e_ard_3-1-0_113067_2020-02-11_final
2020-03-14 11:12:47	ga_ls7e_ard_3-1-0_113067_2020-03-14_final
2020-03-30 11:11:53	ga_ls7e_ard_3-1-0_113067_2020-03-30_final
2020-04-13 09:44:34	ga_ls7e_ard_3-1-0_099067_2020-04-13_final
2020-05-08 09:36:54	ga_ls7e_ard_3-1-0_098067_2020-05-08_final
2020-05-08 11:15:47	ga_ls7e_ard_3-1-0_114067_2020-05-08_final
2020-05-10 09:24:25	ga_ls7e_ard_3-1-0_096067_2020-05-09_final
2020-05-10 11:03:18	ga_ls7e_ard_3-1-0_112067_2020-05-10_final
2020-05-12 09:11:56	ga_ls7e_ard_3-1-0_094067_2020-05-11_final
2020-05-12 10:50:49	ga_ls7e_ard_3-1-0_110067_2020-05-12_final
2020-06-02 11:08:05	ga_ls7e_ard_3-1-0_113067_2020-06-02_final
2020-06-11 09:22:30	ga_ls7e_ard_3-1-0_096067_2020-06-10_final
2020-06-11 11:01:23	ga_ls7e_ard_3-1-0_112067_2020-06-11_final
2020-06-13 09:10:02	ga_ls7e_ard_3-1-0_094067_2020-06-12_final
2020-06-16 09:40:45	ga_ls7e_ard_3-1-0_099067_2020-06-16_final
2020-06-29 10:47:58	ga_ls7e_ard_3-1-0_110067_2020-06-29_final
2020-07-02 09:39:48	ga_ls7e_ard_3-1-0_099067_2020-07-02_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