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
2000-05-28 09:39:33	ga_ls7e_ard_3-0-0_095075_2000-05-28_final
2000-11-02 11:32:24	ga_ls7e_ard_3-1-0_113083_2000-11-02_final
2002-04-28 11:40:49	ga_ls7e_ard_3-0-0_115077_2002-04-28_final
2002-08-06 09:38:34	ga_ls7e_ard_3-0-0_095082_2002-08-06_final
2002-09-12 11:29:45	ga_ls7e_ard_3-0-0_114067_2002-09-12_final
2002-09-12 11:34:56	ga_ls7e_ard_3-0-0_114080_2002-09-12_final
2003-01-09 11:39:32	ga_ls7e_ard_3-0-0_115075_2003-01-09_final
2003-05-03 11:27:13	ga_ls7e_ard_3-0-0_113074_2003-05-03_final
2003-08-09 09:35:36	ga_ls7e_ard_3-0-0_095074_2003-08-09_final
2003-11-25 11:40:16	ga_ls7e_ard_3-0-0_115076_2003-11-25_final
2003-12-20 11:33:27	ga_ls7e_ard_3-1-0_114074_2003-12-20_final
2004-04-21 09:39:06	ga_ls7e_ard_3-0-0_095081_2004-04-21_final
2004-05-23 09:36:46	ga_ls7e_ard_3-0-0_095075_2004-05-23_final
2004-07-08 11:29:26	ga_ls7e_ard_3-0-0_113079_2004-07-08_final
2004-10-28 11:24:28	ga_ls7e_ard_3-0-0_113067_2004-10-28_final
2005-05-17 11:25:28	ga_ls7e_ard_3-0-0_112083_2005-05-17_final
2006-01-21 09:40:43	ga_ls7e_ard_3-0-0_095083_2006-01-21_final
2006-03-10 09:40:30	ga_ls7e_ard_3-0-0_095082_2006-03-10_final
2006-04-25 11:28:28	ga_ls7e_ard_3-0-0_113074_2006-04-25_final
2007-04-10 11:41:44	ga_ls7e_ard_3-0-0_115075_2007-04-10_final
2007-06-15 11:32:18	ga_ls7e_ard_3-0-0_113083_2007-06-15_final
2007-11-04 11:41:37	ga_ls7e_ard_3-0-0_115076_2007-11-04_final
2007-12-15 11:34:56	ga_ls7e_ard_3-0-0_114074_2007-12-15_final
2007-12-17 11:24:34	ga_ls7e_ard_3-0-0_112079_2007-12-17_final
2008-02-19 11:25:19	ga_ls7e_ard_3-0-0_112081_2008-02-19_final
2008-05-14 11:42:48	ga_ls7e_ard_3-0-0_115079_2008-05-14_final
2009-04-01 11:32:42	ga_ls7e_ard_3-0-0_113084_2009-04-01_final
2009-11-13 09:40:59	ga_ls7e_ard_3-0-0_095082_2009-11-13_final
2010-03-21 09:42:33	ga_ls7e_ard_3-0-0_095082_2010-03-21_final
2010-03-28 11:28:03	ga_ls7e_ard_3-0-0_112083_2010-03-28_final
2010-06-09 09:38:56	ga_ls7e_ard_3-1-0_095073_2010-06-09_final
2010-07-11 09:43:24	ga_ls7e_ard_3-0-0_095084_2010-07-11_final
2010-08-01 11:36:51	ga_ls7e_ard_3-0-0_114074_2010-08-01_final
2010-09-09 11:43:53	ga_ls7e_ard_3-0-0_115076_2010-09-09_final
2010-12-18 11:23:07	ga_ls7e_ard_3-0-0_111084_2010-12-18_final
2011-02-11 11:28:29	ga_ls7e_ard_3-0-0_112081_2011-02-11_final
2011-04-23 11:35:38	ga_ls7e_ard_3-0-0_113083_2011-04-23_final
2011-12-10 11:39:12	ga_ls7e_ard_3-0-0_114076_2011-12-10_final
2013-01-04 11:46:58	ga_ls7e_ard_3-0-0_115074_2013-01-04_final
2013-04-05 11:25:31	ga_ls7e_ard_3-0-0_112067_2013-04-05_final
2013-04-26 11:48:43	ga_ls7e_ard_3-0-0_115079_2013-04-26_final
2013-07-17 11:33:49	ga_ls7e_ard_3-0-0_113074_2013-07-17_final
2013-10-07 09:43:30	ga_ls7e_ard_3-0-0_095075_2013-10-07_final
2014-04-01 09:49:22	ga_ls7e_ard_3-0-0_095087_2014-04-01_final
2014-12-02 11:45:00	ga_ls7e_ard_3-0-0_114079_2014-12-02_final
2015-05-04 11:41:46	ga_ls7e_ard_3-0-0_113084_2015-05-04_final
2016-10-29 11:45:07	ga_ls7e_ard_3-0-0_113084_2016-10-29_final
2016-12-25 11:35:02	ga_ls7e_ard_3-0-0_112075_2016-12-25_final
2017-01-24 11:49:03	ga_ls7e_ard_3-0-0_114080_2017-01-24_final
2017-05-23 11:55:18	ga_ls7e_ard_3-0-0_115079_2017-05-23_final
2017-08-22 11:38:04	ga_ls7e_ard_3-0-0_112082_2017-08-22_final
2017-08-31 09:53:00	ga_ls7e_ard_3-0-0_095082_2017-08-31_final
2017-12-10 11:47:26	ga_ls7e_ard_3-0-0_114075_2017-12-10_final
2018-06-13 11:35:24	ga_ls7e_ard_3-0-0_113067_2018-06-13_final
2018-11-11 11:41:14	ga_ls7e_ard_3-0-0_114074_2018-11-11_final
2019-01-05 11:45:55	ga_ls7e_ard_3-0-0_115074_2019-01-05_final
2019-01-25 09:45:40	ga_ls7e_ard_3-0-0_095084_2019-01-25_final
2019-06-18 09:39:54	ga_ls7e_ard_3-0-0_095082_2019-06-18_final
2019-09-22 09:37:58	ga_ls7e_ard_3-1-0_095087_2019-09-22_final
2020-05-03 09:25:51	ga_ls7e_ard_3-1-0_095085_2020-05-02_final
2020-07-02 11:23:04	ga_ls7e_ard_3-1-0_115078_2020-07-02_final
2020-09-04 11:17:51	ga_ls7e_ard_3-1-0_115075_2020-09-04_final
2021-03-07 10:17:51	ga_ls7e_ard_3-2-0_107081_2021-03-07_final
2021-03-17 09:14:52	ga_ls7e_ard_3-2-0_097080_2021-03-16_final
2021-03-23 10:13:47	ga_ls7e_ard_3-2-0_107074_2021-03-23_final
2021-04-05 09:44:13	ga_ls7e_ard_3-2-0_102080_2021-04-05_final
2021-04-08 10:12:52	ga_ls7e_ard_3-2-0_107075_2021-04-08_final
2021-05-15 08:48:38	ga_ls7e_ard_3-2-0_094073_2021-05-14_final
2021-05-16 09:32:12	ga_ls7e_ard_3-2-0_101074_2021-05-16_final
2021-05-22 10:36:17	ga_ls7e_ard_3-2-0_111081_2021-05-22_final
2021-05-27 09:15:07	ga_ls7e_ard_3-2-0_098080_2021-05-26_final
2021-06-02 10:16:00	ga_ls7e_ard_3-2-0_108079_2021-06-02_final
2021-06-14 08:58:05	ga_ls7e_ard_3-2-0_096072_2021-06-13_final
2021-06-30 08:57:57	ga_ls7e_ard_3-2-0_096075_2021-06-29_final
2021-07-05 10:56:33	ga_ls7e_ard_3-2-0_115079_2021-07-05_final
2021-07-14 10:50:00	ga_ls7e_ard_3-2-0_114080_2021-07-14_final
2021-07-28 09:23:04	ga_ls7e_ard_3-2-0_100082_2021-07-27_final
2021-08-03 10:19:33	ga_ls7e_ard_3-2-0_110070_2021-08-03_final
2021-08-07 09:56:04	ga_ls7e_ard_3-2-0_106074_2021-08-07_final
2021-08-13 09:20:27	ga_ls7e_ard_3-2-0_100079_2021-08-12_final
2021-09-22 10:06:47	ga_ls7e_ard_3-2-0_108080_2021-09-22_final
2021-09-24 08:19:22	ga_ls7e_ard_3-2-0_090090_2021-09-23_final
2021-10-01 09:58:12	ga_ls7e_ard_3-2-0_107076_2021-10-01_final
2021-10-12 09:37:06	ga_ls7e_ard_3-2-0_104072_2021-10-12_final
2021-10-18 10:39:34	ga_ls7e_ard_3-2-0_114075_2021-10-18_final
2021-10-26 09:48:36	ga_ls7e_ard_3-2-0_106073_2021-10-26_final
2021-10-29 10:20:25	ga_ls7e_ard_3-2-0_111076_2021-10-29_final
2021-11-16 10:08:20	ga_ls7e_ard_3-2-1_109081_2021-11-16_final
2021-12-12 10:40:33	ga_ls7e_ard_3-2-1_115075_2021-12-12_final
2021-12-27 08:19:20	ga_ls7e_ard_3-2-1_092081_2021-12-26_final
2022-01-03 10:02:05	ga_ls7e_ard_3-2-1_109077_2022-01-03_final
2022-01-03 10:04:05	ga_ls7e_ard_3-2-1_109082_2022-01-03_final
2022-01-10 10:09:59	ga_ls7e_ard_3-2-1_110083_2022-01-10_final
2022-02-06 09:45:38	ga_ls7e_ard_3-2-1_107075_2022-02-06_final
2022-02-10 09:23:17	ga_ls7e_ard_3-2-1_103082_2022-02-09_final
2022-02-13 09:50:41	ga_ls7e_ard_3-2-1_108074_2022-02-13_final
2022-03-03 09:37:47	ga_ls7e_ard_3-2-1_106077_2022-03-03_final
2022-03-04 08:43:39	ga_ls7e_ard_3-2-1_097081_2022-03-03_final
2022-03-15 10:04:05	ga_ls7e_ard_3-2-1_110084_2022-03-15_final
2022-03-26 09:39:18	ga_ls7e_ard_3-2-1_107071_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