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
1999-10-01 09:42:37	ga_ls7e_ard_3-0-0_095080_1999-10-01_final
2000-01-17 11:44:48	ga_ls7e_ard_3-1-0_115077_2000-01-17_final
2001-01-23 09:34:56	ga_ls7e_ard_3-0-0_095067_2001-01-23_final
2001-05-31 09:39:45	ga_ls7e_ard_3-0-0_095081_2001-05-31_final
2001-09-20 09:32:51	ga_ls7e_ard_3-0-0_095067_2001-09-20_final
2002-01-26 09:38:27	ga_ls7e_ard_3-0-0_095080_2002-01-26_final
2002-05-02 09:39:38	ga_ls7e_ard_3-0-0_095083_2002-05-02_final
2002-07-21 09:39:53	ga_ls7e_ard_3-0-0_095085_2002-07-21_final
2002-12-12 09:39:50	ga_ls7e_ard_3-0-0_095085_2002-12-12_final
2003-05-05 09:38:45	ga_ls7e_ard_3-0-0_095081_2003-05-05_final
2003-11-13 09:36:56	ga_ls7e_ard_3-0-0_095077_2003-11-13_final
2004-04-01 11:42:04	ga_ls7e_ard_3-0-0_115079_2004-04-01_final
2005-12-20 09:40:49	ga_ls7e_ard_3-0-0_095084_2005-12-20_final
2007-01-08 09:41:25	ga_ls7e_ard_3-0-0_095084_2007-01-08_final
2007-04-30 09:38:27	ga_ls7e_ard_3-0-0_095076_2007-04-30_final
2007-12-06 11:42:16	ga_ls7e_ard_3-1-0_115077_2007-12-06_final
2008-02-28 09:39:00	ga_ls7e_ard_3-0-0_095078_2008-02-28_final
2008-04-16 09:38:55	ga_ls7e_ard_3-0-0_095078_2008-04-16_final
2008-04-16 09:41:19	ga_ls7e_ard_3-0-0_095084_2008-04-16_final
2008-10-25 09:38:26	ga_ls7e_ard_3-0-0_095080_2008-10-25_final
2009-02-14 09:39:29	ga_ls7e_ard_3-0-0_095080_2009-02-14_final
2009-10-28 09:40:21	ga_ls7e_ard_3-0-0_095081_2009-10-28_final
2009-12-15 09:40:11	ga_ls7e_ard_3-1-0_095079_2009-12-15_final
2010-05-08 09:42:57	ga_ls7e_ard_3-0-0_095083_2010-05-08_final
2011-10-14 11:45:15	ga_ls7e_ard_3-1-0_115077_2011-10-14_final
2011-12-01 11:45:20	ga_ls7e_ard_3-0-0_115076_2011-12-01_final
2013-01-20 11:48:10	ga_ls7e_ard_3-1-0_115077_2013-01-20_final
2013-03-13 09:46:32	ga_ls7e_ard_3-0-0_095082_2013-03-13_final
2013-03-13 09:46:56	ga_ls7e_ard_3-0-0_095083_2013-03-13_final
2013-04-30 09:43:07	ga_ls7e_ard_3-0-0_095074_2013-04-30_final
2013-11-24 09:46:14	ga_ls7e_ard_3-0-0_095081_2013-11-24_final
2014-08-03 11:50:27	ga_ls7e_ard_3-0-0_115079_2014-08-03_final
2014-09-04 11:50:27	ga_ls7e_ard_3-0-0_115079_2014-09-04_final
2014-09-08 09:45:39	ga_ls7e_ard_3-0-0_095076_2014-09-08_final
2014-09-20 11:50:31	ga_ls7e_ard_3-0-0_115079_2014-09-20_final
2016-01-17 09:53:15	ga_ls7e_ard_3-0-0_095085_2016-01-17_final
2016-03-05 09:51:36	ga_ls7e_ard_3-0-0_095080_2016-03-05_final
2016-04-06 09:49:23	ga_ls7e_ard_3-0-0_095074_2016-04-06_final
2016-07-27 09:49:48	ga_ls7e_ard_3-0-0_095074_2016-07-27_final
2016-09-25 11:54:45	ga_ls7e_ard_3-1-0_115077_2016-09-25_final
2017-01-19 09:53:17	ga_ls7e_ard_3-0-0_095084_2017-01-19_final
2017-02-04 09:49:35	ga_ls7e_ard_3-0-0_095075_2017-02-04_final
2017-09-16 09:49:47	ga_ls7e_ard_3-0-0_095074_2017-09-16_final
2018-03-11 09:49:15	ga_ls7e_ard_3-0-0_095076_2018-03-11_final
2019-02-26 09:41:06	ga_ls7e_ard_3-1-0_095075_2019-02-26_final
2019-05-17 09:42:16	ga_ls7e_ard_3-0-0_095085_2019-05-17_final
2020-03-16 09:29:25	ga_ls7e_ard_3-1-0_095087_2020-03-15_final
2020-09-08 09:17:11	ga_ls7e_ard_3-1-0_095083_2020-09-07_final
2021-02-19 08:43:48	ga_ls7e_ard_3-2-0_091090_2021-02-18_final
2021-03-06 09:33:52	ga_ls7e_ard_3-2-0_100079_2021-03-06_final
2021-04-19 09:51:49	ga_ls7e_ard_3-2-0_104071_2021-04-19_final
2021-04-24 10:10:20	ga_ls7e_ard_3-2-0_107072_2021-04-24_final
2021-04-27 09:04:53	ga_ls7e_ard_3-2-0_096079_2021-04-26_final
2021-05-06 08:56:22	ga_ls7e_ard_3-2-0_095075_2021-05-05_final
2021-05-15 08:52:13	ga_ls7e_ard_3-2-0_094082_2021-05-14_final
2021-05-19 08:27:34	ga_ls7e_ard_3-2-0_090083_2021-05-18_final
2021-05-23 09:37:47	ga_ls7e_ard_3-2-0_102074_2021-05-23_final
2021-06-10 09:24:19	ga_ls7e_ard_3-2-0_100075_2021-06-09_final
2021-06-26 09:23:24	ga_ls7e_ard_3-2-0_100076_2021-06-25_final
2021-06-26 09:25:00	ga_ls7e_ard_3-2-0_100080_2021-06-25_final
2021-07-09 08:53:24	ga_ls7e_ard_3-2-0_095081_2021-07-08_final
2021-07-09 08:54:36	ga_ls7e_ard_3-2-0_095084_2021-07-08_final
2021-07-10 09:34:59	ga_ls7e_ard_3-2-0_102077_2021-07-10_final
2021-07-11 10:15:22	ga_ls7e_ard_3-2-0_109070_2021-07-11_final
2021-08-01 08:57:12	ga_ls7e_ard_3-2-0_096080_2021-07-31_final
2021-08-04 09:24:38	ga_ls7e_ard_3-2-0_101072_2021-08-03_final
2021-09-01 09:46:55	ga_ls7e_ard_3-2-0_105072_2021-09-01_final
2021-09-04 08:41:04	ga_ls7e_ard_3-2-0_094078_2021-09-03_final
2021-09-10 09:39:09	ga_ls7e_ard_3-2-0_104070_2021-09-10_final
2021-09-11 10:24:43	ga_ls7e_ard_3-2-0_111076_2021-09-11_final
2021-09-16 10:39:13	ga_ls7e_ard_3-2-0_114067_2021-09-16_final
2021-09-21 09:24:01	ga_ls7e_ard_3-2-0_101081_2021-09-20_final
2021-10-09 09:10:04	ga_ls7e_ard_3-2-0_099081_2021-10-08_final
2021-10-12 09:39:30	ga_ls7e_ard_3-2-0_104078_2021-10-12_final
2021-10-13 08:43:47	ga_ls7e_ard_3-2-0_095078_2021-10-12_final
2021-10-14 09:25:22	ga_ls7e_ard_3-2-0_102074_2021-10-13_final
2021-10-16 09:12:26	ga_ls7e_ard_3-2-0_100073_2021-10-15_final
2021-10-17 09:57:35	ga_ls7e_ard_3-2-0_107078_2021-10-17_final
2021-10-20 08:48:09	ga_ls7e_ard_3-2-0_096075_2021-10-19_final
2021-10-31 08:29:00	ga_ls7e_ard_3-2-0_093076_2021-10-30_final
2021-11-05 08:47:52	ga_ls7e_ard_3-2-0_096078_2021-11-04_final
2021-11-19 08:57:40	ga_ls7e_ard_3-2-1_098075_2021-11-18_final
2021-11-23 10:12:37	ga_ls7e_ard_3-2-1_110078_2021-11-23_final
2021-11-23 10:13:01	ga_ls7e_ard_3-2-1_110079_2021-11-23_final
2021-11-27 09:47:32	ga_ls7e_ard_3-2-1_106078_2021-11-27_final
2021-11-29 09:31:24	ga_ls7e_ard_3-2-1_104069_2021-11-29_final
2021-12-16 10:16:38	ga_ls7e_ard_3-2-1_111078_2021-12-16_final
2021-12-25 08:31:30	ga_ls7e_ard_3-2-1_094080_2021-12-24_final
2022-01-05 09:49:07	ga_ls7e_ard_3-2-1_107076_2022-01-05_final
2022-01-09 09:24:26	ga_ls7e_ard_3-2-1_103077_2022-01-08_final
2022-01-17 08:35:02	ga_ls7e_ard_3-2-1_095079_2022-01-16_final
2022-01-17 10:15:55	ga_ls7e_ard_3-2-1_111084_2022-01-17_final
2022-01-25 09:23:18	ga_ls7e_ard_3-2-1_103078_2022-01-24_final
2022-01-30 09:41:45	ga_ls7e_ard_3-2-1_106079_2022-01-30_final
2022-02-08 09:34:15	ga_ls7e_ard_3-2-1_105078_2022-02-08_final
2022-02-24 09:32:16	ga_ls7e_ard_3-2-1_105077_2022-02-24_final
2022-03-02 10:34:41	ga_ls7e_ard_3-2-1_115080_2022-03-02_final
2022-03-19 07:58:54	ga_ls7e_ard_3-2-1_090081_2022-03-18_final
2022-03-20 08:40:28	ga_ls7e_ard_3-2-1_097077_2022-03-19_final
2022-03-27 08:44:24	ga_ls7e_ard_3-2-1_098073_2022-03-26_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