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
2002-01-15 09:56:54	ga_ls7e_ard_3-1-0_098080_2002-01-15_final
2002-10-06 10:45:41	ga_ls7e_ard_3-1-0_106081_2002-10-06_final
2002-10-22 10:45:46	ga_ls7e_ard_3-1-0_106081_2002-10-22_final
2003-01-29 09:35:18	ga_ls7e_ard_3-1-0_095073_2003-01-29_final
2003-01-29 11:17:47	ga_ls7e_ard_3-1-0_111082_2003-01-29_final
2003-08-31 09:01:16	ga_ls7e_ard_3-1-0_089081_2003-08-30_final
2004-04-10 09:57:21	ga_ls7e_ard_3-1-0_098080_2004-04-10_final
2005-03-16 11:10:00	ga_ls7e_ard_3-1-0_110075_2005-03-16_final
2005-06-27 11:18:41	ga_ls7e_ard_3-1-0_111082_2005-06-27_final
2006-01-21 11:19:12	ga_ls7e_ard_3-1-0_111082_2006-01-21_final
2006-02-22 11:19:21	ga_ls7e_ard_3-1-0_111082_2006-02-22_final
2007-04-24 10:15:10	ga_ls7e_ard_3-1-0_101075_2007-04-24_final
2007-10-12 09:57:53	ga_ls7e_ard_3-1-0_098080_2007-10-12_final
2007-11-10 09:30:06	ga_ls7e_ard_3-1-0_093087_2007-11-10_final
2008-01-27 09:37:08	ga_ls7e_ard_3-1-0_095073_2008-01-27_final
2008-07-02 09:09:03	ga_ls7e_ard_3-1-0_090082_2008-07-01_final
2008-12-24 11:41:34	ga_ls7e_ard_3-1-0_115077_2008-12-24_final
2009-04-03 09:37:05	ga_ls7e_ard_3-1-0_095073_2009-04-03_final
2009-05-17 11:42:26	ga_ls7e_ard_3-1-0_115077_2009-05-17_final
2009-05-19 09:50:48	ga_ls7e_ard_3-1-0_097076_2009-05-19_final
2009-05-23 09:30:28	ga_ls7e_ard_3-1-0_093087_2009-05-23_final
2009-05-30 11:09:33	ga_ls7e_ard_3-1-0_110072_2009-05-30_final
2009-07-31 11:26:30	ga_ls7e_ard_3-1-0_112084_2009-07-31_final
2009-10-21 11:09:21	ga_ls7e_ard_3-1-0_110072_2009-10-21_final
2009-12-29 09:51:36	ga_ls7e_ard_3-1-0_097076_2009-12-29_final
2010-06-27 09:30:13	ga_ls7e_ard_3-1-0_093082_2010-06-27_final
2010-10-15 09:39:11	ga_ls7e_ard_3-1-0_095073_2010-10-15_final
2011-02-17 10:49:02	ga_ls7e_ard_3-1-0_106075_2011-02-17_final
2011-07-12 11:34:22	ga_ls7e_ard_3-1-0_113080_2011-07-12_final
2011-11-05 11:09:57	ga_ls7e_ard_3-1-0_109081_2011-11-05_final
2012-02-23 09:40:56	ga_ls7e_ard_3-1-0_095073_2012-02-23_final
2012-08-13 11:47:07	ga_ls7e_ard_3-1-0_115077_2012-08-13_final
2012-09-27 11:14:40	ga_ls7e_ard_3-1-0_110072_2012-09-27_final
2013-02-05 11:48:13	ga_ls7e_ard_3-1-0_115077_2013-02-05_final
2013-02-25 09:42:57	ga_ls7e_ard_3-1-0_095073_2013-02-25_final
2013-03-02 10:04:17	ga_ls7e_ard_3-1-0_098080_2013-03-02_final
2013-08-04 09:42:03	ga_ls7e_ard_3-1-0_095073_2013-08-04_final
2014-02-22 10:21:23	ga_ls7e_ard_3-1-0_101075_2014-02-22_final
2014-06-16 11:49:24	ga_ls7e_ard_3-1-0_115077_2014-06-16_final
2014-06-25 10:05:36	ga_ls7e_ard_3-1-0_098080_2014-06-25_final
2014-08-28 10:05:45	ga_ls7e_ard_3-1-0_098080_2014-08-28_final
2014-11-08 10:53:49	ga_ls7e_ard_3-1-0_106075_2014-11-08_final
2015-05-19 10:55:02	ga_ls7e_ard_3-1-0_106075_2015-05-19_final
2015-06-20 10:55:12	ga_ls7e_ard_3-1-0_106075_2015-06-20_final
2015-07-31 09:15:53	ga_ls7e_ard_3-1-0_089089_2015-07-30_final
2015-08-12 09:38:16	ga_ls7e_ard_3-1-0_093083_2015-08-12_final
2016-06-02 09:47:07	ga_ls7e_ard_3-1-0_094083_2016-06-02_final
2016-08-05 09:47:14	ga_ls7e_ard_3-1-0_094083_2016-08-05_final
2017-03-22 10:02:34	ga_ls7e_ard_3-1-0_097076_2017-03-22_final
2017-12-11 09:15:19	ga_ls7e_ard_3-1-0_089081_2017-12-10_final
2018-01-03 10:57:43	ga_ls7e_ard_3-1-0_106075_2018-01-03_final
2018-01-15 09:40:12	ga_ls7e_ard_3-1-0_094067_2018-01-15_final
2018-11-19 10:52:00	ga_ls7e_ard_3-1-0_106075_2018-11-19_final
2019-01-06 09:14:34	ga_ls7e_ard_3-1-0_090082_2019-01-05_final
2019-01-24 10:35:44	ga_ls7e_ard_3-1-0_104070_2019-01-24_final
2019-02-06 11:46:06	ga_ls7e_ard_3-1-0_115077_2019-02-06_final
2019-02-19 11:15:13	ga_ls7e_ard_3-1-0_110078_2019-02-19_final
2019-03-16 11:05:03	ga_ls7e_ard_3-1-0_109070_2019-03-16_final
2019-03-22 10:28:58	ga_ls7e_ard_3-1-0_103073_2019-03-22_final
2019-03-23 11:13:47	ga_ls7e_ard_3-1-0_110077_2019-03-23_final
2019-03-28 09:54:04	ga_ls7e_ard_3-1-0_097079_2019-03-28_final
2019-03-28 11:30:58	ga_ls7e_ard_3-1-0_113074_2019-03-28_final
2019-08-18 10:42:41	ga_ls7e_ard_3-1-0_106075_2019-08-18_final
2019-08-21 11:16:15	ga_ls7e_ard_3-1-0_111082_2019-08-21_final
2019-08-24 10:08:08	ga_ls7e_ard_3-1-0_100082_2019-08-24_final
2019-08-29 10:26:28	ga_ls7e_ard_3-1-0_103082_2019-08-29_final
2019-09-11 09:51:24	ga_ls7e_ard_3-1-0_098073_2019-09-11_final
2019-09-27 11:31:11	ga_ls7e_ard_3-1-0_114077_2019-09-27_final
2019-10-04 10:00:59	ga_ls7e_ard_3-1-0_099084_2019-10-04_final
2019-10-13 09:52:02	ga_ls7e_ard_3-1-0_098078_2019-10-13_final
2019-10-15 11:20:28	ga_ls7e_ard_3-1-0_112083_2019-10-15_final
2019-11-02 11:05:20	ga_ls7e_ard_3-1-0_110078_2019-11-02_final
2019-11-07 09:45:10	ga_ls7e_ard_3-1-0_097079_2019-11-07_final
2019-11-14 09:48:14	ga_ls7e_ard_3-1-0_098072_2019-11-14_final
2019-11-14 09:50:37	ga_ls7e_ard_3-1-0_098078_2019-11-14_final
2019-11-22 10:39:17	ga_ls7e_ard_3-1-0_106077_2019-11-22_final
2019-11-25 11:12:02	ga_ls7e_ard_3-1-0_111082_2019-11-25_final
2019-11-27 09:17:55	ga_ls7e_ard_3-1-0_093075_2019-11-26_final
2019-11-27 09:21:54	ga_ls7e_ard_3-1-0_093085_2019-11-26_final
2019-12-08 10:34:55	ga_ls7e_ard_3-1-0_106068_2019-12-08_final
2019-12-16 09:47:04	ga_ls7e_ard_3-1-0_098073_2019-12-16_final
2019-12-21 10:08:57	ga_ls7e_ard_3-1-0_101082_2019-12-21_final
2019-12-23 11:32:34	ga_ls7e_ard_3-1-0_115075_2019-12-23_final
2020-01-09 10:36:04	ga_ls7e_ard_3-1-0_106075_2020-01-09_final
2020-01-10 09:43:11	ga_ls7e_ard_3-1-0_097082_2020-01-10_final
2020-01-10 11:22:04	ga_ls7e_ard_3-1-0_113082_2020-01-10_final
2020-02-02 11:25:55	ga_ls7e_ard_3-1-0_114079_2020-02-02_final
2020-02-07 10:02:55	ga_ls7e_ard_3-1-0_101073_2020-02-07_final
2020-02-13 11:05:13	ga_ls7e_ard_3-1-0_111075_2020-02-13_final
2020-02-16 09:58:40	ga_ls7e_ard_3-1-0_100079_2020-02-16_final
2020-02-21 10:16:57	ga_ls7e_ard_3-1-0_103079_2020-02-21_final
2020-02-25 09:52:25	ga_ls7e_ard_3-1-0_099080_2020-02-25_final
2020-02-26 10:34:50	ga_ls7e_ard_3-1-0_106078_2020-02-26_final
2020-03-31 10:21:24	ga_ls7e_ard_3-1-0_104080_2020-03-31_final
2020-04-13 11:26:38	ga_ls7e_ard_3-1-0_115075_2020-04-13_final
2020-04-29 11:26:53	ga_ls7e_ard_3-1-0_115078_2020-04-29_final
2022-03-14 09:16:32	ga_ls7e_ard_3-2-1_103073_2022-03-13_final
2022-03-31 09:57:22	ga_ls7e_ard_3-2-1_110071_2022-03-31_final
2022-03-31 10:01:22	ga_ls7e_ard_3-2-1_110081_2022-03-31_final
2022-04-03 08:48:42	ga_ls7e_ard_3-2-1_099070_2022-04-02_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