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
1999-11-15 09:13:35	ga_ls7e_ard_3-1-0_090085_1999-11-14_final
2000-01-17 11:44:48	ga_ls7e_ard_3-1-0_115077_2000-01-17_final
2001-02-26 09:30:22	ga_ls7e_ard_3-1-0_093087_2001-02-26_final
2001-09-01 10:45:03	ga_ls7e_ard_3-1-0_106077_2001-09-01_final
2002-02-26 10:30:10	ga_ls7e_ard_3-1-0_104070_2002-02-26_final
2002-05-27 09:26:52	ga_ls7e_ard_3-1-0_094067_2002-05-26_final
2002-08-24 11:04:35	ga_ls7e_ard_3-1-0_109081_2002-08-24_final
2002-11-28 11:04:44	ga_ls7e_ard_3-1-0_109081_2002-11-28_final
2004-05-17 10:13:52	ga_ls7e_ard_3-1-0_101075_2004-05-17_final
2005-02-05 11:06:02	ga_ls7e_ard_3-1-0_109081_2005-02-05_final
2006-06-29 10:31:09	ga_ls7e_ard_3-1-0_104070_2006-06-29_final
2006-10-31 11:00:28	ga_ls7e_ard_3-1-0_108082_2006-10-31_final
2007-11-18 10:14:49	ga_ls7e_ard_3-1-0_101075_2007-11-18_final
2007-12-06 11:42:16	ga_ls7e_ard_3-1-0_115077_2007-12-06_final
2008-02-14 11:06:48	ga_ls7e_ard_3-1-0_109081_2008-02-14_final
2008-07-31 10:13:56	ga_ls7e_ard_3-1-0_101075_2008-07-31_final
2008-10-16 11:22:57	ga_ls7e_ard_3-1-0_112079_2008-10-16_final
2008-10-27 09:27:18	ga_ls7e_ard_3-1-0_093083_2008-10-26_final
2009-01-03 10:41:01	ga_ls7e_ard_3-1-0_105080_2009-01-03_final
2009-06-09 10:11:20	ga_ls7e_ard_3-1-0_100081_2009-06-09_final
2009-08-08 10:31:25	ga_ls7e_ard_3-1-0_104070_2009-08-08_final
2009-11-16 10:11:07	ga_ls7e_ard_3-1-0_100080_2009-11-16_final
2009-12-15 09:40:11	ga_ls7e_ard_3-1-0_095079_2009-12-15_final
2010-04-26 09:12:17	ga_ls7e_ard_3-1-0_091068_2010-04-25_final
2010-10-06 11:28:32	ga_ls7e_ard_3-1-0_112084_2010-10-06_final
2011-10-14 11:45:15	ga_ls7e_ard_3-1-0_115077_2011-10-14_final
2012-04-04 09:38:42	ga_ls7e_ard_3-1-0_094083_2012-04-04_final
2012-11-19 09:56:20	ga_ls7e_ard_3-1-0_097076_2012-11-19_final
2012-11-27 10:47:23	ga_ls7e_ard_3-1-0_105080_2012-11-27_final
2013-01-20 11:48:10	ga_ls7e_ard_3-1-0_115077_2013-01-20_final
2013-08-04 11:24:32	ga_ls7e_ard_3-1-0_111082_2013-08-04_final
2014-02-06 10:21:35	ga_ls7e_ard_3-1-0_101075_2014-02-06_final
2014-04-19 11:13:39	ga_ls7e_ard_3-1-0_109081_2014-04-19_final
2014-08-04 09:18:20	ga_ls7e_ard_3-1-0_090085_2014-08-03_final
2014-09-07 10:38:53	ga_ls7e_ard_3-1-0_104070_2014-09-07_final
2015-06-28 10:06:10	ga_ls7e_ard_3-1-0_098076_2015-06-28_final
2016-01-06 10:09:38	ga_ls7e_ard_3-1-0_098080_2016-01-06_final
2016-07-02 11:38:49	ga_ls7e_ard_3-1-0_112084_2016-07-02_final
2016-08-22 10:27:20	ga_ls7e_ard_3-1-0_101075_2016-08-22_final
2016-09-25 11:54:45	ga_ls7e_ard_3-1-0_115077_2016-09-25_final
2016-10-14 10:43:59	ga_ls7e_ard_3-1-0_104070_2016-10-14_final
2017-05-13 09:40:55	ga_ls7e_ard_3-1-0_093083_2017-05-13_final
2017-05-13 11:19:00	ga_ls7e_ard_3-1-0_109081_2017-05-13_final
2018-07-06 10:08:14	ga_ls7e_ard_3-1-0_098082_2018-07-06_final
2018-08-20 11:14:59	ga_ls7e_ard_3-1-0_109081_2018-08-20_final
2018-10-23 11:13:32	ga_ls7e_ard_3-1-0_109081_2018-10-23_final
2018-11-24 11:12:48	ga_ls7e_ard_3-1-0_109081_2018-11-24_final
2019-02-17 09:49:09	ga_ls7e_ard_3-1-0_096079_2019-02-17_final
2019-02-20 10:17:10	ga_ls7e_ard_3-1-0_101072_2019-02-20_final
2019-02-26 09:41:06	ga_ls7e_ard_3-1-0_095075_2019-02-26_final
2019-03-03 11:39:58	ga_ls7e_ard_3-1-0_114079_2019-03-03_final
2019-03-13 10:34:39	ga_ls7e_ard_3-1-0_104071_2019-03-13_final
2019-03-14 11:21:28	ga_ls7e_ard_3-1-0_111080_2019-03-14_final
2019-03-20 10:43:23	ga_ls7e_ard_3-1-0_105078_2019-03-20_final
2019-03-24 10:18:32	ga_ls7e_ard_3-1-0_101078_2019-03-24_final
2019-03-27 10:50:08	ga_ls7e_ard_3-1-0_106080_2019-03-27_final
2019-07-30 10:12:34	ga_ls7e_ard_3-1-0_101075_2019-07-30_final
2019-08-25 10:47:46	ga_ls7e_ard_3-1-0_107073_2019-08-25_final
2019-08-26 11:32:59	ga_ls7e_ard_3-1-0_114078_2019-08-26_final
2019-09-05 10:27:33	ga_ls7e_ard_3-1-0_104070_2019-09-05_final
2019-09-10 10:49:04	ga_ls7e_ard_3-1-0_107078_2019-09-10_final
2019-09-13 09:41:21	ga_ls7e_ard_3-1-0_096079_2019-09-13_final
2019-09-20 11:25:42	ga_ls7e_ard_3-1-0_113078_2019-09-20_final
2019-10-06 11:26:37	ga_ls7e_ard_3-1-0_113082_2019-10-06_final
2019-10-07 10:26:10	ga_ls7e_ard_3-1-0_104070_2019-10-07_final
2019-10-10 09:23:15	ga_ls7e_ard_3-1-0_093083_2019-10-09_final
2019-10-13 11:31:19	ga_ls7e_ard_3-1-0_114079_2019-10-13_final
2019-10-25 10:15:51	ga_ls7e_ard_3-1-0_102077_2019-10-25_final
2019-10-28 09:08:08	ga_ls7e_ard_3-1-0_091078_2019-10-27_final
2019-10-28 09:08:32	ga_ls7e_ard_3-1-0_091079_2019-10-27_final
2019-10-29 09:52:57	ga_ls7e_ard_3-1-0_098082_2019-10-29_final
2019-11-04 10:49:17	ga_ls7e_ard_3-1-0_108069_2019-11-04_final
2019-11-08 10:25:11	ga_ls7e_ard_3-1-0_104071_2019-11-08_final
2019-11-11 09:20:16	ga_ls7e_ard_3-1-0_093079_2019-11-10_final
2019-11-22 10:39:41	ga_ls7e_ard_3-1-0_106078_2019-11-22_final
2019-11-27 10:59:11	ga_ls7e_ard_3-1-0_109081_2019-11-27_final
2019-11-30 11:29:08	ga_ls7e_ard_3-1-0_114079_2019-11-30_final
2019-12-03 10:20:37	ga_ls7e_ard_3-1-0_103078_2019-12-03_final
2019-12-06 09:13:41	ga_ls7e_ard_3-1-0_092081_2019-12-05_final
2019-12-09 09:41:15	ga_ls7e_ard_3-1-0_097073_2019-12-09_final
2019-12-12 10:11:36	ga_ls7e_ard_3-1-0_102072_2019-12-12_final
2019-12-29 10:57:34	ga_ls7e_ard_3-1-0_109081_2019-12-29_final
2020-01-06 10:04:31	ga_ls7e_ard_3-1-0_101073_2020-01-06_final
2020-01-07 10:50:31	ga_ls7e_ard_3-1-0_108080_2020-01-07_final
2020-01-30 10:55:34	ga_ls7e_ard_3-1-0_109080_2020-01-30_final
2020-02-02 11:25:55	ga_ls7e_ard_3-1-0_114079_2020-02-02_final
2020-02-09 09:50:28	ga_ls7e_ard_3-1-0_099073_2020-02-09_final
2020-02-11 11:17:41	ga_ls7e_ard_3-1-0_113075_2020-02-11_final
2020-03-16 09:29:25	ga_ls7e_ard_3-1-0_095087_2020-03-15_final
2020-03-25 10:55:14	ga_ls7e_ard_3-1-0_110071_2020-03-25_final
2020-03-25 10:58:01	ga_ls7e_ard_3-1-0_110078_2020-03-25_final
2020-03-27 10:42:45	ga_ls7e_ard_3-1-0_108071_2020-03-27_final
2020-03-29 10:33:28	ga_ls7e_ard_3-1-0_106079_2020-03-29_final
2020-04-08 09:30:18	ga_ls7e_ard_3-1-0_096077_2020-04-08_final
2020-04-25 10:12:34	ga_ls7e_ard_3-1-0_103077_2020-04-25_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
2021-05-19 08:27:34	ga_ls7e_ard_3-2-0_090083_2021-05-18_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