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
2001-02-06 09:50:46	ga_ls7e_ard_3-1-0_097076_2001-02-06_final
2002-11-16 09:00:53	ga_ls7e_ard_3-1-0_089081_2002-11-15_final
2002-12-21 11:07:24	ga_ls7e_ard_3-1-0_110072_2002-12-21_final
2003-08-06 09:09:04	ga_ls7e_ard_3-1-0_090085_2003-08-05_final
2004-03-10 09:02:08	ga_ls7e_ard_3-1-0_089081_2004-03-09_final
2004-06-10 11:05:35	ga_ls7e_ard_3-1-0_109081_2004-06-10_final
2005-04-17 11:08:39	ga_ls7e_ard_3-1-0_110072_2005-04-17_final
2005-05-08 09:49:58	ga_ls7e_ard_3-1-0_097076_2005-05-08_final
2005-06-24 09:10:06	ga_ls7e_ard_3-1-0_090085_2005-06-23_final
2005-12-06 11:06:07	ga_ls7e_ard_3-1-0_109081_2005-12-06_final
2006-04-21 10:13:29	ga_ls7e_ard_3-1-0_101072_2006-04-21_final
2006-06-16 11:06:31	ga_ls7e_ard_3-1-0_109081_2006-06-16_final
2006-07-09 11:08:57	ga_ls7e_ard_3-1-0_110072_2006-07-09_final
2006-07-26 10:16:46	ga_ls7e_ard_3-1-0_101081_2006-07-26_final
2006-08-07 09:05:48	ga_ls7e_ard_3-1-0_089089_2006-08-06_final
2008-03-12 10:45:43	ga_ls7e_ard_3-1-0_106075_2008-03-12_final
2008-03-28 09:10:50	ga_ls7e_ard_3-1-0_090085_2008-03-27_final
2008-07-20 10:30:34	ga_ls7e_ard_3-1-0_104070_2008-07-20_final
2009-11-18 09:58:47	ga_ls7e_ard_3-1-0_098080_2009-11-18_final
2010-06-15 09:05:03	ga_ls7e_ard_3-1-0_089081_2010-06-14_final
2010-11-29 10:48:28	ga_ls7e_ard_3-1-0_106075_2010-11-29_final
2011-06-30 11:10:02	ga_ls7e_ard_3-1-0_109081_2011-06-30_final
2012-06-27 09:16:23	ga_ls7e_ard_3-1-0_090088_2012-06-26_final
2012-11-08 10:15:33	ga_ls7e_ard_3-1-0_100078_2012-11-08_final
2013-04-11 10:51:36	ga_ls7e_ard_3-1-0_106075_2013-04-11_final
2014-03-26 10:21:36	ga_ls7e_ard_3-1-0_101075_2014-03-26_final
2014-04-11 10:20:30	ga_ls7e_ard_3-1-0_101072_2014-04-11_final
2014-06-10 09:10:19	ga_ls7e_ard_3-1-0_089081_2014-06-09_final
2014-07-03 10:53:06	ga_ls7e_ard_3-1-0_106075_2014-07-03_final
2015-07-11 11:16:14	ga_ls7e_ard_3-1-0_109081_2015-07-11_final
2015-10-02 10:08:03	ga_ls7e_ard_3-1-0_098080_2015-10-02_final
2016-03-11 09:14:58	ga_ls7e_ard_3-1-0_089081_2016-03-10_final
2016-04-15 11:21:22	ga_ls7e_ard_3-1-0_110072_2016-04-15_final
2016-12-31 10:57:54	ga_ls7e_ard_3-1-0_106075_2016-12-31_final
2017-01-18 10:43:20	ga_ls7e_ard_3-1-0_104070_2017-01-18_final
2017-05-17 09:15:24	ga_ls7e_ard_3-1-0_089081_2017-05-16_final
2017-10-04 09:42:38	ga_ls7e_ard_3-1-0_093087_2017-10-04_final
2017-11-28 11:25:37	ga_ls7e_ard_3-1-0_110082_2017-11-28_final
2017-12-27 09:15:09	ga_ls7e_ard_3-1-0_089081_2017-12-26_final
2017-12-31 10:28:03	ga_ls7e_ard_3-1-0_101078_2017-12-31_final
2018-04-03 11:33:12	ga_ls7e_ard_3-1-0_112074_2018-04-03_final
2018-09-28 11:16:44	ga_ls7e_ard_3-1-0_110072_2018-09-28_final
2018-11-19 10:52:00	ga_ls7e_ard_3-1-0_106075_2018-11-19_final
2018-12-22 09:55:53	ga_ls7e_ard_3-1-0_097076_2018-12-22_final
2019-02-17 11:27:38	ga_ls7e_ard_3-1-0_112078_2019-02-17_final
2019-03-12 09:54:13	ga_ls7e_ard_3-1-0_097078_2019-03-12_final
2019-03-19 11:39:02	ga_ls7e_ard_3-1-0_114078_2019-03-19_final
2019-03-19 11:39:26	ga_ls7e_ard_3-1-0_114079_2019-03-19_final
2019-03-22 10:32:09	ga_ls7e_ard_3-1-0_103081_2019-03-22_final
2019-03-23 11:13:47	ga_ls7e_ard_3-1-0_110077_2019-03-23_final
2019-09-03 10:42:24	ga_ls7e_ard_3-1-0_106076_2019-09-03_final
2019-09-11 09:51:24	ga_ls7e_ard_3-1-0_098073_2019-09-11_final
2019-09-16 10:12:55	ga_ls7e_ard_3-1-0_101081_2019-09-16_final
2019-09-22 11:11:15	ga_ls7e_ard_3-1-0_111073_2019-09-22_final
2019-09-24 11:02:48	ga_ls7e_ard_3-1-0_109083_2019-09-24_final
2019-10-01 09:25:49	ga_ls7e_ard_3-1-0_094073_2019-09-30_final
2019-10-01 11:03:30	ga_ls7e_ard_3-1-0_110070_2019-10-01_final
2019-10-13 09:48:03	ga_ls7e_ard_3-1-0_098068_2019-10-13_final
2019-10-17 09:27:57	ga_ls7e_ard_3-1-0_094080_2019-10-16_final
2019-10-21 09:02:15	ga_ls7e_ard_3-1-0_090078_2019-10-20_final
2019-10-24 11:13:54	ga_ls7e_ard_3-1-0_111083_2019-10-24_final
2019-10-26 10:58:16	ga_ls7e_ard_3-1-0_109075_2019-10-26_final
2019-10-26 10:58:40	ga_ls7e_ard_3-1-0_109076_2019-10-26_final
2019-11-07 11:22:51	ga_ls7e_ard_3-1-0_113076_2019-11-07_final
2019-11-11 09:23:27	ga_ls7e_ard_3-1-0_093087_2019-11-10_final
2019-11-14 09:46:38	ga_ls7e_ard_3-1-0_098068_2019-11-14_final
2019-11-22 10:40:53	ga_ls7e_ard_3-1-0_106081_2019-11-22_final
2019-11-24 10:24:02	ga_ls7e_ard_3-1-0_104070_2019-11-24_final
2019-12-08 09:00:02	ga_ls7e_ard_3-1-0_090078_2019-12-07_final
2019-12-16 09:50:16	ga_ls7e_ard_3-1-0_098081_2019-12-16_final
2019-12-21 10:06:09	ga_ls7e_ard_3-1-0_101075_2019-12-21_final
2019-12-31 10:42:19	ga_ls7e_ard_3-1-0_107074_2019-12-31_final
2020-01-06 10:05:43	ga_ls7e_ard_3-1-0_101076_2020-01-06_final
2020-01-06 10:06:07	ga_ls7e_ard_3-1-0_101077_2020-01-06_final
2020-01-25 08:58:00	ga_ls7e_ard_3-1-0_090079_2020-01-24_final
2020-01-25 10:36:05	ga_ls7e_ard_3-1-0_106077_2020-01-25_final
2020-01-30 10:51:58	ga_ls7e_ard_3-1-0_109071_2020-01-30_final
2020-02-06 11:00:12	ga_ls7e_ard_3-1-0_110077_2020-02-06_final
2020-02-10 10:36:28	ga_ls7e_ard_3-1-0_106080_2020-02-10_final
2020-02-15 10:51:09	ga_ls7e_ard_3-1-0_109071_2020-02-15_final
2020-02-15 10:54:21	ga_ls7e_ard_3-1-0_109079_2020-02-15_final
2020-02-20 11:11:26	ga_ls7e_ard_3-1-0_112076_2020-02-20_final
2020-02-20 11:13:25	ga_ls7e_ard_3-1-0_112081_2020-02-20_final
2020-02-22 10:56:34	ga_ls7e_ard_3-1-0_110070_2020-02-22_final
2020-03-05 09:45:45	ga_ls7e_ard_3-1-0_098080_2020-03-05_final
2020-03-06 08:50:53	ga_ls7e_ard_3-1-0_089082_2020-03-05_final
2020-03-20 10:41:21	ga_ls7e_ard_3-1-0_107082_2020-03-20_final
2020-03-21 09:44:29	ga_ls7e_ard_3-1-0_098079_2020-03-21_final
2020-04-03 10:48:32	ga_ls7e_ard_3-1-0_109071_2020-04-03_final
2020-04-05 10:39:15	ga_ls7e_ard_3-1-0_107079_2020-04-05_final
2020-04-10 09:20:37	ga_ls7e_ard_3-1-0_094084_2020-04-09_final
2020-04-15 09:37:41	ga_ls7e_ard_3-1-0_097081_2020-04-15_final
2020-04-15 11:15:22	ga_ls7e_ard_3-1-0_113078_2020-04-15_final
2020-04-22 11:21:08	ga_ls7e_ard_3-1-0_114078_2020-04-22_final
2020-04-27 10:02:29	ga_ls7e_ard_3-1-0_101083_2020-04-27_final
2022-03-13 08:32:11	ga_ls7e_ard_3-2-1_096070_2022-03-12_final
2022-03-18 10:31:29	ga_ls7e_ard_3-2-1_115076_2022-03-18_final
2022-03-19 09:34:11	ga_ls7e_ard_3-2-1_106072_2022-03-19_final
2022-03-27 08:45:35	ga_ls7e_ard_3-2-1_098076_2022-03-26_final
2022-04-03 10:29:58	ga_ls7e_ard_3-2-1_115076_2022-04-03_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