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
2006-07-15 10:30:13	ga_ls7e_ard_3-0-0_104068_2006-07-15_final
2006-07-16 09:34:11	ga_ls7e_ard_3-0-0_095067_2006-07-16_final
2006-07-16 11:13:04	ga_ls7e_ard_3-0-0_111067_2006-07-16_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
2006-07-18 09:21:49	ga_ls7e_ard_3-0-0_093067_2006-07-17_final
2006-08-06 09:52:38	ga_ls7e_ard_3-0-0_098067_2006-08-06_final
2006-08-06 09:53:02	ga_ls7e_ard_3-0-0_098068_2006-08-06_final
2006-08-06 11:31:31	ga_ls7e_ard_3-0-0_114067_2006-08-06_final
2006-08-07 10:36:18	ga_ls7e_ard_3-0-0_105068_2006-08-07_final
2006-08-08 09:40:16	ga_ls7e_ard_3-0-0_096067_2006-08-08_final
2006-08-08 11:19:09	ga_ls7e_ard_3-0-0_112067_2006-08-08_final
2006-08-09 10:23:56	ga_ls7e_ard_3-0-0_103068_2006-08-09_final
2006-08-10 11:06:48	ga_ls7e_ard_3-0-0_110067_2006-08-10_final
2006-08-13 09:59:12	ga_ls7e_ard_3-0-0_099068_2006-08-13_final
2006-08-25 10:23:54	ga_ls7e_ard_3-0-0_103068_2006-08-25_final
2006-08-26 11:06:45	ga_ls7e_ard_3-0-0_110067_2006-08-26_final
2006-09-30 09:58:33	ga_ls7e_ard_3-0-0_099067_2006-09-30_final
2006-09-30 09:58:57	ga_ls7e_ard_3-0-0_099068_2006-09-30_final
2006-10-01 10:42:12	ga_ls7e_ard_3-0-0_106068_2006-10-01_final
2006-11-17 09:59:05	ga_ls7e_ard_3-0-0_099067_2006-11-17_final
2006-11-17 09:59:29	ga_ls7e_ard_3-0-0_099068_2006-11-17_final
2006-11-18 10:42:45	ga_ls7e_ard_3-0-0_106068_2006-11-18_final
2006-11-19 11:25:38	ga_ls7e_ard_3-0-0_113067_2006-11-19_final
2006-11-20 10:30:25	ga_ls7e_ard_3-0-0_104068_2006-11-20_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
2006-11-26 09:52:59	ga_ls7e_ard_3-0-0_098067_2006-11-26_final
2006-11-26 09:53:23	ga_ls7e_ard_3-0-0_098068_2006-11-26_final
2006-11-26 11:31:53	ga_ls7e_ard_3-0-0_114067_2006-11-26_final
2006-11-27 10:36:40	ga_ls7e_ard_3-0-0_105068_2006-11-27_final
2006-11-28 09:40:39	ga_ls7e_ard_3-0-0_096067_2006-11-28_final
2006-11-28 11:19:32	ga_ls7e_ard_3-0-0_112067_2006-11-28_final
2006-11-29 10:24:19	ga_ls7e_ard_3-0-0_103068_2006-11-29_final
2006-11-30 09:28:18	ga_ls7e_ard_3-1-0_094067_2006-11-29_final
2006-11-30 11:07:11	ga_ls7e_ard_3-0-0_110067_2006-11-30_final
2006-12-19 09:59:19	ga_ls7e_ard_3-0-0_099067_2006-12-19_final
2006-12-19 09:59:43	ga_ls7e_ard_3-0-0_099068_2006-12-19_final
2006-12-20 10:42:59	ga_ls7e_ard_3-0-0_106068_2006-12-20_final
2006-12-21 11:25:51	ga_ls7e_ard_3-0-0_113067_2006-12-21_final
2007-02-07 11:26:02	ga_ls7e_ard_3-0-0_113067_2007-02-07_final
2007-02-08 10:30:49	ga_ls7e_ard_3-0-0_104068_2007-02-08_final
2007-02-09 11:13:41	ga_ls7e_ard_3-0-0_111067_2007-02-09_final
2007-02-09 11:14:05	ga_ls7e_ard_3-0-0_111068_2007-02-09_final
2007-02-10 10:18:28	ga_ls7e_ard_3-0-0_102068_2007-02-10_final
2007-02-11 09:22:27	ga_ls7e_ard_3-0-0_093067_2007-02-10_final
2013-01-29 09:59:09	ga_ls7e_ard_3-0-0_098067_2013-01-29_final
2013-06-22 11:37:27	ga_ls7e_ard_3-0-0_114067_2013-06-22_final
2014-06-13 11:14:31	ga_ls7e_ard_3-0-0_110067_2014-06-13_final
2014-06-17 10:50:11	ga_ls7e_ard_3-0-0_106068_2014-06-17_final
2014-09-20 10:06:51	ga_ls7e_ard_3-0-0_099067_2014-09-20_final
2014-09-20 10:07:15	ga_ls7e_ard_3-0-0_099068_2014-09-20_final
2014-09-21 10:50:31	ga_ls7e_ard_3-0-0_106068_2014-09-21_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
2017-04-10 10:30:22	ga_ls7e_ard_3-0-0_102068_2017-04-10_final
2017-06-01 10:05:30	ga_ls7e_ard_3-0-0_098067_2017-06-01_final
2017-06-01 11:44:23	ga_ls7e_ard_3-0-0_114067_2017-06-01_final
2017-06-03 09:53:09	ga_ls7e_ard_3-0-0_096067_2017-06-03_final
2017-06-03 11:32:02	ga_ls7e_ard_3-0-0_112067_2017-06-03_final
2017-06-04 10:36:49	ga_ls7e_ard_3-0-0_103068_2017-06-04_final
2017-06-05 09:40:48	ga_ls7e_ard_3-1-0_094067_2017-06-05_final
2017-06-24 10:11:46	ga_ls7e_ard_3-0-0_099067_2017-06-24_final
2017-06-24 10:12:10	ga_ls7e_ard_3-0-0_099068_2017-06-24_final
2017-06-26 11:38:18	ga_ls7e_ard_3-0-0_113067_2017-06-26_final
2017-07-05 11:32:08	ga_ls7e_ard_3-0-0_112067_2017-07-05_final
2017-07-06 10:36:54	ga_ls7e_ard_3-0-0_103068_2017-07-06_final
2017-07-07 09:40:53	ga_ls7e_ard_3-1-0_094067_2017-07-07_final
2017-07-07 11:19:46	ga_ls7e_ard_3-0-0_110067_2017-07-07_final
2017-07-11 10:55:27	ga_ls7e_ard_3-0-0_106068_2017-07-11_final
2017-07-12 11:38:19	ga_ls7e_ard_3-0-0_113067_2017-07-12_final
2017-07-26 10:11:47	ga_ls7e_ard_3-0-0_099067_2017-07-26_final
2017-07-26 10:12:11	ga_ls7e_ard_3-0-0_099068_2017-07-26_final
2017-07-28 11:38:18	ga_ls7e_ard_3-0-0_113067_2017-07-28_final
2017-07-30 09:47:03	ga_ls7e_ard_3-0-0_095067_2017-07-30_final
2017-07-30 11:25:56	ga_ls7e_ard_3-0-0_111067_2017-07-30_final
2017-07-30 11:26:20	ga_ls7e_ard_3-0-0_111068_2017-07-30_final
2017-07-31 10:30:43	ga_ls7e_ard_3-0-0_102068_2017-07-31_final
2017-09-05 10:05:33	ga_ls7e_ard_3-0-0_098067_2017-09-05_final
2017-09-05 10:05:57	ga_ls7e_ard_3-0-0_098068_2017-09-05_final
2017-09-05 11:44:27	ga_ls7e_ard_3-0-0_114067_2017-09-05_final
2017-09-12 10:12:07	ga_ls7e_ard_3-0-0_099068_2017-09-12_final
2017-09-13 10:55:23	ga_ls7e_ard_3-0-0_106068_2017-09-13_final
2017-09-14 11:38:14	ga_ls7e_ard_3-0-0_113067_2017-09-14_final
2017-09-15 10:43:01	ga_ls7e_ard_3-0-0_104068_2017-09-15_final
2017-09-16 09:46:59	ga_ls7e_ard_3-0-0_095067_2017-09-16_final
2017-09-16 11:25:52	ga_ls7e_ard_3-0-0_111067_2017-09-16_final
2017-09-16 11:26:16	ga_ls7e_ard_3-0-0_111068_2017-09-16_final
2017-09-21 10:05:31	ga_ls7e_ard_3-0-0_098067_2017-09-21_final
2017-09-21 10:05:55	ga_ls7e_ard_3-0-0_098068_2017-09-21_final
2017-09-23 09:53:10	ga_ls7e_ard_3-0-0_096067_2017-09-23_final
2017-09-23 11:32:03	ga_ls7e_ard_3-0-0_112067_2017-09-23_final
2017-09-24 10:36:50	ga_ls7e_ard_3-0-0_103068_2017-09-24_final
2017-09-25 09:40:49	ga_ls7e_ard_3-1-0_094067_2017-09-25_final
2017-10-02 09:47:00	ga_ls7e_ard_3-0-0_095067_2017-10-02_final
2017-10-02 11:25:53	ga_ls7e_ard_3-0-0_111067_2017-10-02_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years