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
2000-03-06 09:13:17	ga_ls7e_ard_3-1-0_090085_2000-03-05_final
2000-11-27 11:26:37	ga_ls7e_ard_3-1-0_112084_2000-11-27_final
2003-11-03 09:01:19	ga_ls7e_ard_3-1-0_089081_2003-11-02_final
2004-01-09 09:29:56	ga_ls7e_ard_3-1-0_094074_2004-01-08_final
2004-01-22 09:01:56	ga_ls7e_ard_3-1-0_089081_2004-01-21_final
2004-03-27 11:25:32	ga_ls7e_ard_3-1-0_112084_2004-03-27_final
2004-07-22 10:00:03	ga_ls7e_ard_3-1-0_099072_2004-07-22_final
2004-12-23 09:02:11	ga_ls7e_ard_3-1-0_089081_2004-12-22_final
2005-05-22 10:00:43	ga_ls7e_ard_3-1-0_099072_2005-05-22_final
2005-09-12 09:09:46	ga_ls7e_ard_3-1-0_090085_2005-09-11_final
2006-01-27 09:02:53	ga_ls7e_ard_3-1-0_089081_2006-01-26_final
2006-11-17 10:04:40	ga_ls7e_ard_3-1-0_099081_2006-11-17_final
2007-05-25 09:28:31	ga_ls7e_ard_3-1-0_094067_2007-05-24_final
2007-06-26 11:14:09	ga_ls7e_ard_3-1-0_110084_2007-06-26_final
2007-11-23 10:31:24	ga_ls7e_ard_3-1-0_104070_2007-11-23_final
2007-12-16 09:06:25	ga_ls7e_ard_3-1-0_089089_2007-12-15_final
2008-01-08 09:11:03	ga_ls7e_ard_3-1-0_090085_2008-01-07_final
2008-01-20 11:09:27	ga_ls7e_ard_3-1-0_110072_2008-01-20_final
2008-01-24 09:11:02	ga_ls7e_ard_3-1-0_090085_2008-01-23_final
2009-07-26 09:29:54	ga_ls7e_ard_3-1-0_093086_2009-07-25_final
2009-09-01 11:26:26	ga_ls7e_ard_3-1-0_112084_2009-09-01_final
2010-01-06 09:04:17	ga_ls7e_ard_3-1-0_089081_2010-01-05_final
2010-02-24 11:28:15	ga_ls7e_ard_3-1-0_112084_2010-02-24_final
2010-07-20 09:30:27	ga_ls7e_ard_3-1-0_094067_2010-07-20_final
2010-10-12 09:13:02	ga_ls7e_ard_3-1-0_090085_2010-10-11_final
2011-05-29 09:30:02	ga_ls7e_ard_3-1-0_093078_2011-05-29_final
2011-08-24 09:31:37	ga_ls7e_ard_3-1-0_094067_2011-08-24_final
2012-02-04 09:13:34	ga_ls7e_ard_3-1-0_090082_2012-02-03_final
2012-06-16 09:34:27	ga_ls7e_ard_3-1-0_093087_2012-06-16_final
2012-12-04 09:16:39	ga_ls7e_ard_3-1-0_090085_2012-12-03_final
2013-01-21 09:16:52	ga_ls7e_ard_3-1-0_090085_2013-01-20_final
2013-03-20 11:32:21	ga_ls7e_ard_3-1-0_112084_2013-03-20_final
2013-05-25 09:34:03	ga_ls7e_ard_3-1-0_094067_2013-05-25_final
2013-07-16 09:16:04	ga_ls7e_ard_3-1-0_090085_2013-07-15_final
2014-01-04 11:15:33	ga_ls7e_ard_3-1-0_110072_2014-01-04_final
2014-02-09 09:17:33	ga_ls7e_ard_3-1-0_090085_2014-02-08_final
2014-04-26 11:16:18	ga_ls7e_ard_3-1-0_110072_2014-04-26_final
2015-04-13 09:37:26	ga_ls7e_ard_3-1-0_094067_2015-04-13_final
2015-05-29 11:31:45	ga_ls7e_ard_3-1-0_112074_2015-05-29_final
2015-06-29 09:12:33	ga_ls7e_ard_3-1-0_089081_2015-06-28_final
2015-12-06 09:13:55	ga_ls7e_ard_3-1-0_089081_2015-12-05_final
2015-12-29 09:22:02	ga_ls7e_ard_3-1-0_090085_2015-12-28_final
2017-11-09 09:15:32	ga_ls7e_ard_3-1-0_089081_2017-11-08_final
2017-11-12 11:21:43	ga_ls7e_ard_3-1-0_110072_2017-11-12_final
2018-11-28 09:09:06	ga_ls7e_ard_3-1-0_089081_2018-11-27_final
2019-02-06 10:10:25	ga_ls7e_ard_3-1-0_099085_2019-02-06_final
2019-02-16 09:08:19	ga_ls7e_ard_3-1-0_089085_2019-02-15_final
2019-02-23 09:11:05	ga_ls7e_ard_3-1-0_090077_2019-02-22_final
2019-02-28 11:05:34	ga_ls7e_ard_3-1-0_109070_2019-02-28_final
2019-03-01 10:15:06	ga_ls7e_ard_3-1-0_100083_2019-03-01_final
2019-03-01 10:15:30	ga_ls7e_ard_3-1-0_100084_2019-03-01_final
2019-03-20 09:06:30	ga_ls7e_ard_3-1-0_089083_2019-03-19_final
2019-03-23 11:12:35	ga_ls7e_ard_3-1-0_110074_2019-03-23_final
2019-08-24 10:08:32	ga_ls7e_ard_3-1-0_100083_2019-08-24_final
2019-08-28 11:18:56	ga_ls7e_ard_3-1-0_112074_2019-08-28_final
2019-09-02 09:56:47	ga_ls7e_ard_3-1-0_099070_2019-09-02_final
2019-09-04 11:28:24	ga_ls7e_ard_3-1-0_113083_2019-09-04_final
2019-09-26 10:50:21	ga_ls7e_ard_3-1-0_107083_2019-09-26_final
2019-10-11 10:01:41	ga_ls7e_ard_3-1-0_100071_2019-10-11_final
2019-10-17 11:03:38	ga_ls7e_ard_3-1-0_110072_2019-10-17_final
2019-10-26 09:22:34	ga_ls7e_ard_3-1-0_093083_2019-10-25_final
2019-10-26 09:22:58	ga_ls7e_ard_3-1-0_093084_2019-10-25_final
2019-10-28 10:44:13	ga_ls7e_ard_3-1-0_107071_2019-10-28_final
2019-11-02 11:06:08	ga_ls7e_ard_3-1-0_110080_2019-11-02_final
2019-11-11 10:56:45	ga_ls7e_ard_3-1-0_109073_2019-11-11_final
2019-11-13 10:43:30	ga_ls7e_ard_3-1-0_107071_2019-11-13_final
2019-11-16 11:12:40	ga_ls7e_ard_3-1-0_112067_2019-11-16_final
2019-11-18 11:02:36	ga_ls7e_ard_3-1-0_110073_2019-11-18_final
2019-11-27 10:56:00	ga_ls7e_ard_3-1-0_109073_2019-11-27_final
2019-11-28 10:01:31	ga_ls7e_ard_3-1-0_100076_2019-11-28_final
2019-12-02 11:15:05	ga_ls7e_ard_3-1-0_112075_2019-12-02_final
2019-12-10 10:22:51	ga_ls7e_ard_3-1-0_104069_2019-12-10_final
2019-12-10 10:26:27	ga_ls7e_ard_3-1-0_104078_2019-12-10_final
2019-12-15 10:46:44	ga_ls7e_ard_3-1-0_107083_2019-12-15_final
2019-12-24 08:59:37	ga_ls7e_ard_3-1-0_090079_2019-12-23_final
2019-12-25 11:22:30	ga_ls7e_ard_3-1-0_113081_2019-12-25_final
2019-12-26 10:21:38	ga_ls7e_ard_3-1-0_104068_2019-12-26_final
2019-12-29 09:17:06	ga_ls7e_ard_3-1-0_093077_2019-12-28_final
2019-12-30 10:00:42	ga_ls7e_ard_3-1-0_100078_2019-12-30_final
2019-12-31 10:40:43	ga_ls7e_ard_3-1-0_107070_2019-12-31_final
2020-01-20 10:14:36	ga_ls7e_ard_3-1-0_103069_2020-01-20_final
2020-01-25 08:59:59	ga_ls7e_ard_3-1-0_090084_2020-01-24_final
2020-01-26 11:18:05	ga_ls7e_ard_3-1-0_113074_2020-01-26_final
2020-01-30 10:52:22	ga_ls7e_ard_3-1-0_109072_2020-01-30_final
2020-02-03 08:53:21	ga_ls7e_ard_3-1-0_089084_2020-02-02_final
2020-02-15 10:56:20	ga_ls7e_ard_3-1-0_109084_2020-02-15_final
2020-03-19 09:58:57	ga_ls7e_ard_3-1-0_100084_2020-03-19_final
2020-03-29 08:58:11	ga_ls7e_ard_3-1-0_090088_2020-03-28_final
2020-03-31 10:16:37	ga_ls7e_ard_3-1-0_104068_2020-03-31_final
2020-04-04 09:58:03	ga_ls7e_ard_3-1-0_100084_2020-04-04_final
2020-04-07 08:50:18	ga_ls7e_ard_3-1-0_089085_2020-04-06_final
2020-04-19 10:47:37	ga_ls7e_ard_3-1-0_109071_2020-04-19_final
2020-04-19 10:52:48	ga_ls7e_ard_3-1-0_109084_2020-04-19_final
2020-04-20 09:51:56	ga_ls7e_ard_3-1-0_100071_2020-04-20_final
2020-04-26 10:58:10	ga_ls7e_ard_3-1-0_110083_2020-04-26_final
2022-03-18 10:33:05	ga_ls7e_ard_3-2-1_115080_2022-03-18_final
2022-03-28 09:25:58	ga_ls7e_ard_3-2-1_105069_2022-03-27_final
2022-04-02 08:07:32	ga_ls7e_ard_3-2-1_092075_2022-04-01_final
2022-04-02 08:13:07	ga_ls7e_ard_3-2-1_092089_2022-04-01_final
2022-04-04 09:31:51	ga_ls7e_ard_3-2-1_106070_2022-04-04_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