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
1999-09-25 10:17:39	ga_ls7e_ard_3-1-0_101075_1999-09-25_final
2000-07-17 11:07:58	ga_ls7e_ard_3-1-0_109081_2000-07-17_final
2000-09-13 11:42:39	ga_ls7e_ard_3-1-0_115077_2000-09-13_final
2001-02-03 10:56:48	ga_ls7e_ard_3-1-0_108071_2001-02-03_final
2001-03-05 09:28:34	ga_ls7e_ard_3-1-0_094067_2001-03-04_final
2001-05-27 11:41:49	ga_ls7e_ard_3-1-0_115077_2001-05-27_final
2001-10-19 09:08:59	ga_ls7e_ard_3-1-0_090085_2001-10-18_final
2001-10-31 09:32:53	ga_ls7e_ard_3-1-0_094083_2001-10-31_final
2001-11-20 10:44:06	ga_ls7e_ard_3-1-0_106075_2001-11-20_final
2001-11-29 09:01:28	ga_ls7e_ard_3-1-0_089081_2001-11-28_final
2004-05-09 09:27:37	ga_ls7e_ard_3-1-0_093083_2004-05-08_final
2004-05-15 10:26:38	ga_ls7e_ard_3-1-0_103076_2004-05-15_final
2004-07-28 11:05:24	ga_ls7e_ard_3-1-0_109081_2004-07-28_final
2004-10-05 09:44:44	ga_ls7e_ard_3-1-0_096081_2004-10-05_final
2005-07-26 09:07:18	ga_ls7e_ard_3-1-0_090078_2005-07-25_final
2005-08-03 09:57:32	ga_ls7e_ard_3-1-0_098080_2005-08-03_final
2005-08-09 10:57:18	ga_ls7e_ard_3-1-0_108075_2005-08-09_final
2005-10-10 09:30:03	ga_ls7e_ard_3-1-0_094074_2005-10-10_final
2006-02-15 11:13:57	ga_ls7e_ard_3-1-0_110084_2006-02-15_final
2007-08-31 10:57:52	ga_ls7e_ard_3-1-0_108075_2007-08-31_final
2008-04-29 09:11:58	ga_ls7e_ard_3-1-0_090088_2008-04-28_final
2008-12-06 10:14:05	ga_ls7e_ard_3-1-0_101075_2008-12-06_final
2009-06-17 10:58:22	ga_ls7e_ard_3-1-0_108075_2009-06-17_final
2009-07-03 10:56:43	ga_ls7e_ard_3-1-0_108071_2009-07-03_final
2009-09-26 11:19:25	ga_ls7e_ard_3-1-0_111082_2009-09-26_final
2010-04-02 11:44:12	ga_ls7e_ard_3-1-0_115077_2010-04-02_final
2010-06-27 11:08:42	ga_ls7e_ard_3-1-0_109081_2010-06-27_final
2010-10-28 10:48:05	ga_ls7e_ard_3-1-0_106075_2010-10-28_final
2011-03-26 11:10:06	ga_ls7e_ard_3-1-0_109081_2011-03-26_final
2011-06-27 10:34:45	ga_ls7e_ard_3-1-0_104070_2011-06-27_final
2011-10-17 10:34:31	ga_ls7e_ard_3-1-0_104070_2011-10-17_final
2011-12-10 10:01:55	ga_ls7e_ard_3-1-0_098080_2011-12-10_final
2013-01-20 11:48:10	ga_ls7e_ard_3-1-0_115077_2013-01-20_final
2013-01-23 10:37:25	ga_ls7e_ard_3-1-0_104070_2013-01-23_final
2013-07-02 10:36:45	ga_ls7e_ard_3-1-0_104070_2013-07-02_final
2013-08-15 11:01:37	ga_ls7e_ard_3-1-0_108071_2013-08-15_final
2013-08-22 09:30:12	ga_ls7e_ard_3-1-0_093074_2013-08-22_final
2013-12-26 11:25:41	ga_ls7e_ard_3-1-0_111082_2013-12-26_final
2014-01-05 10:21:07	ga_ls7e_ard_3-1-0_101075_2014-01-05_final
2014-02-23 09:30:10	ga_ls7e_ard_3-1-0_092086_2014-02-23_final
2014-04-14 09:17:45	ga_ls7e_ard_3-1-0_090085_2014-04-13_final
2014-04-22 10:05:18	ga_ls7e_ard_3-1-0_098080_2014-04-22_final
2014-11-23 11:50:17	ga_ls7e_ard_3-1-0_115077_2014-11-23_final
2015-07-20 11:07:41	ga_ls7e_ard_3-1-0_108075_2015-07-20_final
2015-08-03 09:44:24	ga_ls7e_ard_3-1-0_094083_2015-08-03_final
2015-12-03 10:21:50	ga_ls7e_ard_3-1-0_100081_2015-12-03_final
2016-04-01 11:10:06	ga_ls7e_ard_3-1-0_108075_2016-04-01_final
2016-05-08 11:31:40	ga_ls7e_ard_3-1-0_111082_2016-05-08_final
2017-02-22 11:18:32	ga_ls7e_ard_3-1-0_109081_2017-02-22_final
2017-09-16 11:31:51	ga_ls7e_ard_3-1-0_111082_2017-09-16_final
2018-04-07 11:08:49	ga_ls7e_ard_3-1-0_108075_2018-04-07_final
2018-05-23 09:44:43	ga_ls7e_ard_3-1-0_094083_2018-05-23_final
2018-08-02 11:28:05	ga_ls7e_ard_3-1-0_111082_2018-08-02_final
2019-02-12 11:10:26	ga_ls7e_ard_3-1-0_109081_2019-02-12_final
2019-02-17 09:50:21	ga_ls7e_ard_3-1-0_096082_2019-02-17_final
2019-02-21 09:25:30	ga_ls7e_ard_3-1-0_092082_2019-02-20_final
2019-02-21 09:26:18	ga_ls7e_ard_3-1-0_092084_2019-02-20_final
2019-02-23 10:48:22	ga_ls7e_ard_3-1-0_106073_2019-02-23_final
2019-03-02 10:56:44	ga_ls7e_ard_3-1-0_107079_2019-03-02_final
2019-03-11 10:49:28	ga_ls7e_ard_3-1-0_106077_2019-03-11_final
2019-06-04 11:06:32	ga_ls7e_ard_3-1-0_109081_2019-06-04_final
2019-07-20 11:17:33	ga_ls7e_ard_3-1-0_111082_2019-07-20_final
2019-08-24 10:04:57	ga_ls7e_ard_3-1-0_100074_2019-08-24_final
2019-08-25 10:49:21	ga_ls7e_ard_3-1-0_107077_2019-08-25_final
2019-08-31 10:10:26	ga_ls7e_ard_3-1-0_101073_2019-08-31_final
2019-09-02 09:59:11	ga_ls7e_ard_3-1-0_099076_2019-09-02_final
2019-09-17 10:55:20	ga_ls7e_ard_3-1-0_108079_2019-09-17_final
2019-09-19 09:05:12	ga_ls7e_ard_3-1-0_090082_2019-09-18_final
2019-09-21 10:26:27	ga_ls7e_ard_3-1-0_104069_2019-09-21_final
2019-09-29 09:37:04	ga_ls7e_ard_3-1-0_096070_2019-09-29_final
2019-09-30 10:23:04	ga_ls7e_ard_3-1-0_103077_2019-09-30_final
2019-10-15 09:36:24	ga_ls7e_ard_3-1-0_096070_2019-10-15_final
2019-10-16 10:19:13	ga_ls7e_ard_3-1-0_103069_2019-10-16_final
2019-10-22 11:19:58	ga_ls7e_ard_3-1-0_113067_2019-10-22_final
2019-10-24 09:36:37	ga_ls7e_ard_3-1-0_095087_2019-10-24_final
2019-11-04 10:53:41	ga_ls7e_ard_3-1-0_108080_2019-11-04_final
2019-11-05 09:55:13	ga_ls7e_ard_3-1-0_099073_2019-11-05_final
2019-11-14 11:29:30	ga_ls7e_ard_3-1-0_114078_2019-11-14_final
2019-11-20 10:51:21	ga_ls7e_ard_3-1-0_108076_2019-11-20_final
2019-11-27 09:20:18	ga_ls7e_ard_3-1-0_093081_2019-11-26_final
2019-12-02 09:35:48	ga_ls7e_ard_3-1-0_096074_2019-12-02_final
2019-12-07 09:57:18	ga_ls7e_ard_3-1-0_099082_2019-12-07_final
2019-12-29 09:18:42	ga_ls7e_ard_3-1-0_093081_2019-12-28_final
2020-01-07 10:50:07	ga_ls7e_ard_3-1-0_108079_2020-01-07_final
2020-01-21 09:23:43	ga_ls7e_ard_3-1-0_094081_2020-01-20_final
2020-02-09 09:51:16	ga_ls7e_ard_3-1-0_099075_2020-02-09_final
2020-02-18 09:43:49	ga_ls7e_ard_3-1-0_098073_2020-02-18_final
2020-02-24 10:44:54	ga_ls7e_ard_3-1-0_108072_2020-02-24_final
2020-03-05 09:46:57	ga_ls7e_ard_3-1-0_098083_2020-03-05_final
2020-03-07 09:31:18	ga_ls7e_ard_3-1-0_096075_2020-03-07_final
2020-03-19 09:58:09	ga_ls7e_ard_3-1-0_100082_2020-03-19_final
2020-03-23 09:32:24	ga_ls7e_ard_3-1-0_096080_2020-03-23_final
2020-03-24 10:16:25	ga_ls7e_ard_3-1-0_103082_2020-03-24_final
2020-04-06 11:22:04	ga_ls7e_ard_3-1-0_114078_2020-04-06_final
2020-04-17 09:26:24	ga_ls7e_ard_3-1-0_095084_2020-04-16_final
2020-04-17 11:01:17	ga_ls7e_ard_3-1-0_111074_2020-04-17_final
2020-04-21 10:35:32	ga_ls7e_ard_3-1-0_107072_2020-04-21_final
2020-04-26 10:56:10	ga_ls7e_ard_3-1-0_110078_2020-04-26_final
2022-03-14 09:18:32	ga_ls7e_ard_3-2-1_103078_2022-03-13_final
2022-03-22 08:29:31	ga_ls7e_ard_3-2-1_095081_2022-03-21_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