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
2000-03-21 11:44:37	ga_ls7e_ard_3-0-0_115077_2000-03-21_final
2001-05-11 11:42:22	ga_ls7e_ard_3-0-0_115078_2001-05-11_final
2002-11-06 11:39:05	ga_ls7e_ard_3-0-0_115075_2002-11-06_final
2002-11-22 11:40:08	ga_ls7e_ard_3-1-0_115077_2002-11-22_final
2003-05-17 11:39:54	ga_ls7e_ard_3-0-0_115075_2003-05-17_final
2004-07-06 11:40:12	ga_ls7e_ard_3-0-0_115075_2004-07-06_final
2004-11-04 11:35:55	ga_ls7e_ard_3-0-0_114080_2004-11-04_final
2004-11-13 11:30:34	ga_ls7e_ard_3-0-0_113082_2004-11-13_final
2005-02-15 11:41:36	ga_ls7e_ard_3-1-0_115077_2005-02-15_final
2005-05-22 11:40:24	ga_ls7e_ard_3-0-0_115074_2005-05-22_final
2005-06-07 11:40:19	ga_ls7e_ard_3-0-0_115074_2005-06-07_final
2005-10-13 11:40:18	ga_ls7e_ard_3-0-0_115075_2005-10-13_final
2005-10-22 11:36:14	ga_ls7e_ard_3-0-0_114080_2005-10-22_final
2006-04-09 11:31:41	ga_ls7e_ard_3-0-0_113082_2006-04-09_final
2006-05-25 11:40:52	ga_ls7e_ard_3-0-0_115074_2006-05-25_final
2006-08-29 11:42:02	ga_ls7e_ard_3-0-0_115078_2006-08-29_final
2006-09-30 11:40:14	ga_ls7e_ard_3-0-0_115074_2006-09-30_final
2007-03-09 11:43:19	ga_ls7e_ard_3-0-0_115079_2007-03-09_final
2007-03-18 11:35:33	ga_ls7e_ard_3-0-0_114075_2007-03-18_final
2007-04-26 11:41:17	ga_ls7e_ard_3-0-0_115074_2007-04-26_final
2007-11-13 11:35:31	ga_ls7e_ard_3-0-0_114076_2007-11-13_final
2007-11-20 11:42:34	ga_ls7e_ard_3-0-0_115078_2007-11-20_final
2008-01-23 11:42:21	ga_ls7e_ard_3-1-0_115077_2008-01-23_final
2008-04-28 11:40:53	ga_ls7e_ard_3-0-0_115074_2008-04-28_final
2010-04-04 11:34:15	ga_ls7e_ard_3-0-0_113083_2010-04-04_final
2010-11-12 11:45:29	ga_ls7e_ard_3-0-0_115079_2010-11-12_final
2011-02-25 11:38:08	ga_ls7e_ard_3-0-0_114074_2011-02-25_final
2013-10-28 11:37:54	ga_ls7e_ard_3-0-0_114067_2013-10-28_final
2014-05-15 11:49:19	ga_ls7e_ard_3-1-0_115077_2014-05-15_final
2015-03-17 11:40:13	ga_ls7e_ard_3-0-0_113081_2015-03-17_final
2015-08-31 11:41:40	ga_ls7e_ard_3-0-0_114067_2015-08-31_final
2015-08-31 11:45:40	ga_ls7e_ard_3-0-0_114077_2015-08-31_final
2016-04-02 11:54:34	ga_ls7e_ard_3-0-0_115078_2016-04-02_final
2016-04-11 11:44:04	ga_ls7e_ard_3-0-0_114067_2016-04-11_final
2016-06-05 11:53:19	ga_ls7e_ard_3-0-0_115074_2016-06-05_final
2016-07-09 11:44:36	ga_ls7e_ard_3-0-0_113083_2016-07-09_final
2017-06-17 11:44:27	ga_ls7e_ard_3-0-0_114067_2017-06-17_final
2017-08-29 11:43:51	ga_ls7e_ard_3-0-0_113081_2017-08-29_final
2017-10-30 11:55:26	ga_ls7e_ard_3-0-0_115079_2017-10-30_final
2020-09-04 11:19:03	ga_ls7e_ard_3-1-0_115078_2020-09-04_final
2020-09-13 11:10:40	ga_ls7e_ard_3-1-0_114074_2020-09-13_final
2020-11-23 09:30:52	ga_ls7e_ard_3-1-0_099068_2020-11-23_final
2020-12-03 10:12:49	ga_ls7e_ard_3-1-0_105082_2020-12-03_final
2020-12-18 09:26:49	ga_ls7e_ard_3-1-0_098078_2020-12-17_final
2020-12-19 10:08:25	ga_ls7e_ard_3-1-0_105074_2020-12-19_final
2020-12-21 09:53:30	ga_ls7e_ard_3-1-0_103068_2020-12-21_final
2021-01-04 10:04:53	ga_ls7e_ard_3-1-0_105068_2021-01-04_final
2021-01-07 10:38:22	ga_ls7e_ard_3-1-0_110075_2021-01-07_final
2021-01-10 09:28:59	ga_ls7e_ard_3-1-0_099072_2021-01-09_final
2021-01-16 10:33:09	ga_ls7e_ard_3-1-0_109079_2021-01-16_final
2021-01-18 08:40:58	ga_ls7e_ard_3-1-0_091077_2021-01-17_final
2021-02-12 08:33:22	ga_ls7e_ard_3-2-0_090078_2021-02-11_final
2021-02-12 10:10:15	ga_ls7e_ard_3-2-0_106073_2021-02-12_final
2021-02-20 10:59:29	ga_ls7e_ard_3-2-0_114074_2021-02-20_final
2021-02-24 10:38:27	ga_ls7e_ard_3-2-0_110084_2021-02-24_final
2021-04-09 09:21:10	ga_ls7e_ard_3-2-0_098085_2021-04-08_final
2021-04-19 09:56:12	ga_ls7e_ard_3-2-0_104082_2021-04-19_final
2021-04-21 09:38:29	ga_ls7e_ard_3-2-0_102069_2021-04-21_final
2021-05-10 08:33:18	ga_ls7e_ard_3-2-0_091080_2021-05-09_final
2021-05-24 10:19:46	ga_ls7e_ard_3-2-0_109071_2021-05-24_final
2021-06-03 10:58:47	ga_ls7e_ard_3-2-0_115078_2021-06-03_final
2021-06-20 08:22:30	ga_ls7e_ard_3-2-0_090077_2021-06-19_final
2021-06-25 10:18:42	ga_ls7e_ard_3-2-0_109075_2021-06-25_final
2021-06-28 09:07:41	ga_ls7e_ard_3-2-0_098068_2021-06-27_final
2021-06-28 10:51:21	ga_ls7e_ard_3-2-0_114080_2021-06-28_final
2021-06-29 08:15:58	ga_ls7e_ard_3-2-0_089078_2021-06-28_final
2021-07-12 09:20:04	ga_ls7e_ard_3-2-0_100071_2021-07-11_final
2021-07-15 08:16:13	ga_ls7e_ard_3-2-0_089082_2021-07-14_final
2021-07-27 08:41:30	ga_ls7e_ard_3-2-0_093086_2021-07-26_final
2021-07-27 10:19:34	ga_ls7e_ard_3-2-0_109084_2021-07-27_final
2021-07-29 10:05:26	ga_ls7e_ard_3-2-0_107080_2021-07-29_final
2021-07-31 08:12:50	ga_ls7e_ard_3-2-0_089077_2021-07-30_final
2021-08-07 08:23:11	ga_ls7e_ard_3-2-0_090089_2021-08-06_final
2021-08-11 09:30:36	ga_ls7e_ard_3-2-0_102073_2021-08-11_final
2021-09-18 08:47:48	ga_ls7e_ard_3-2-0_096067_2021-09-17_final
2021-09-27 10:22:05	ga_ls7e_ard_3-2-0_111073_2021-09-27_final
2021-10-13 08:41:48	ga_ls7e_ard_3-2-0_095073_2021-10-12_final
2021-10-19 09:44:15	ga_ls7e_ard_3-2-0_105076_2021-10-19_final
2021-10-26 09:49:24	ga_ls7e_ard_3-2-0_106075_2021-10-26_final
2021-11-05 08:44:40	ga_ls7e_ard_3-2-0_096070_2021-11-04_final
2021-11-10 09:07:55	ga_ls7e_ard_3-2-0_099083_2021-11-09_final
2021-11-27 09:46:20	ga_ls7e_ard_3-2-1_106075_2021-11-27_final
2021-12-01 09:18:27	ga_ls7e_ard_3-2-1_102068_2021-11-30_final
2021-12-08 09:24:22	ga_ls7e_ard_3-2-1_103069_2021-12-07_final
2021-12-11 09:55:23	ga_ls7e_ard_3-2-1_108070_2021-12-11_final
2021-12-23 10:20:56	ga_ls7e_ard_3-2-1_112075_2021-12-23_final
2021-12-28 09:03:41	ga_ls7e_ard_3-2-1_099084_2021-12-27_final
2022-01-03 09:59:41	ga_ls7e_ard_3-2-1_109071_2022-01-03_final
2022-01-06 08:51:01	ga_ls7e_ard_3-2-1_098070_2022-01-05_final
2022-01-17 08:32:39	ga_ls7e_ard_3-2-1_095073_2022-01-16_final
2022-01-23 07:56:35	ga_ls7e_ard_3-2-1_089077_2022-01-22_final
2022-01-23 07:58:11	ga_ls7e_ard_3-2-1_089081_2022-01-22_final
2022-01-23 07:58:59	ga_ls7e_ard_3-2-1_089083_2022-01-22_final
2022-01-23 09:35:04	ga_ls7e_ard_3-2-1_105076_2022-01-23_final
2022-01-27 09:10:21	ga_ls7e_ard_3-2-1_101077_2022-01-26_final
2022-02-07 08:49:07	ga_ls7e_ard_3-2-1_098073_2022-02-06_final
2022-03-02 08:55:49	ga_ls7e_ard_3-2-1_099080_2022-03-01_final
2022-03-03 09:34:59	ga_ls7e_ard_3-2-1_106070_2022-03-03_final
2022-03-20 10:21:20	ga_ls7e_ard_3-2-1_113082_2022-03-20_final
2022-03-23 09:07:30	ga_ls7e_ard_3-2-1_102068_2022-03-22_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