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
2000-05-09 10:48:31	ga_ls7e_ard_3-1-0_106077_2000-05-09_final
2000-07-14 10:32:42	ga_ls7e_ard_3-1-0_104070_2000-07-14_final
2000-07-30 10:32:25	ga_ls7e_ard_3-1-0_104070_2000-07-30_final
2000-08-10 10:15:45	ga_ls7e_ard_3-1-0_101075_2000-08-10_final
2000-08-15 10:32:19	ga_ls7e_ard_3-1-0_104070_2000-08-15_final
2000-09-14 09:11:19	ga_ls7e_ard_3-1-0_090085_2000-09-13_final
2000-11-14 10:16:13	ga_ls7e_ard_3-1-0_101078_2000-11-14_final
2001-02-13 09:58:34	ga_ls7e_ard_3-1-0_098080_2001-02-13_final
2001-03-14 11:06:49	ga_ls7e_ard_3-1-0_109081_2001-03-14_final
2001-08-16 10:44:25	ga_ls7e_ard_3-1-0_106075_2001-08-16_final
2001-10-31 09:26:30	ga_ls7e_ard_3-1-0_094067_2001-10-30_final
2001-12-11 11:05:09	ga_ls7e_ard_3-1-0_109081_2001-12-11_final
2002-07-26 09:57:35	ga_ls7e_ard_3-1-0_098083_2002-07-26_final
2003-03-02 09:37:54	ga_ls7e_ard_3-1-0_095079_2003-03-02_final
2003-08-16 11:24:40	ga_ls7e_ard_3-1-0_112084_2003-08-16_final
2004-04-12 11:25:27	ga_ls7e_ard_3-1-0_112084_2004-04-12_final
2004-05-15 10:24:14	ga_ls7e_ard_3-1-0_103070_2004-05-15_final
2004-09-06 10:13:23	ga_ls7e_ard_3-1-0_101075_2004-09-06_final
2004-09-09 10:45:04	ga_ls7e_ard_3-1-0_106077_2004-09-09_final
2005-04-23 10:30:46	ga_ls7e_ard_3-1-0_104070_2005-04-23_final
2005-06-25 09:49:46	ga_ls7e_ard_3-1-0_097076_2005-06-25_final
2005-09-13 09:49:25	ga_ls7e_ard_3-1-0_097076_2005-09-13_final
2007-11-15 11:23:35	ga_ls7e_ard_3-1-0_112077_2007-11-15_final
2008-03-15 09:39:20	ga_ls7e_ard_3-1-0_095079_2008-03-15_final
2008-07-07 11:06:01	ga_ls7e_ard_3-1-0_109081_2008-07-07_final
2008-12-30 09:28:03	ga_ls7e_ard_3-1-0_093083_2008-12-29_final
2009-02-07 09:32:50	ga_ls7e_ard_3-1-0_094079_2009-02-07_final
2009-03-31 10:45:51	ga_ls7e_ard_3-1-0_106075_2009-03-31_final
2009-04-21 11:06:53	ga_ls7e_ard_3-1-0_109081_2009-04-21_final
2009-10-12 09:39:16	ga_ls7e_ard_3-1-0_095079_2009-10-12_final
2010-02-16 10:33:09	ga_ls7e_ard_3-1-0_104070_2010-02-16_final
2010-07-21 10:16:54	ga_ls7e_ard_3-1-0_101075_2010-07-21_final
2010-11-25 09:31:04	ga_ls7e_ard_3-1-0_094067_2010-11-25_final
2011-06-26 09:53:53	ga_ls7e_ard_3-1-0_097076_2011-06-26_final
2012-10-30 10:20:31	ga_ls7e_ard_3-1-0_101075_2012-10-30_final
2012-11-10 10:04:01	ga_ls7e_ard_3-1-0_098080_2012-11-10_final
2013-02-11 11:12:44	ga_ls7e_ard_3-1-0_109081_2013-02-11_final
2013-04-11 10:52:24	ga_ls7e_ard_3-1-0_106077_2013-04-11_final
2014-08-25 11:14:08	ga_ls7e_ard_3-1-0_109081_2014-08-25_final
2014-10-28 11:14:38	ga_ls7e_ard_3-1-0_109081_2014-10-28_final
2015-01-29 10:39:53	ga_ls7e_ard_3-1-0_104070_2015-01-29_final
2015-10-24 09:29:49	ga_ls7e_ard_3-1-0_092076_2015-10-23_final
2016-09-28 10:43:59	ga_ls7e_ard_3-1-0_104070_2016-09-28_final
2017-06-11 10:43:50	ga_ls7e_ard_3-1-0_104070_2017-06-11_final
2017-08-09 10:27:18	ga_ls7e_ard_3-1-0_101075_2017-08-09_final
2017-12-07 11:18:58	ga_ls7e_ard_3-1-0_109081_2017-12-07_final
2018-07-06 10:05:50	ga_ls7e_ard_3-1-0_098076_2018-07-06_final
2018-11-15 09:41:07	ga_ls7e_ard_3-1-0_094083_2018-11-15_final
2019-02-26 11:21:11	ga_ls7e_ard_3-1-0_111078_2019-02-26_final
2019-03-09 09:23:24	ga_ls7e_ard_3-1-0_092078_2019-03-08_final
2019-03-16 11:09:26	ga_ls7e_ard_3-1-0_109081_2019-03-16_final
2019-03-22 10:32:09	ga_ls7e_ard_3-1-0_103081_2019-03-22_final
2019-03-25 09:22:53	ga_ls7e_ard_3-1-0_092078_2019-03-24_final
2019-03-26 11:44:35	ga_ls7e_ard_3-1-0_115077_2019-03-26_final
2019-03-27 10:49:20	ga_ls7e_ard_3-1-0_106078_2019-03-27_final
2019-03-27 10:51:19	ga_ls7e_ard_3-1-0_106083_2019-03-27_final
2019-03-30 09:41:39	ga_ls7e_ard_3-1-0_095079_2019-03-30_final
2019-05-29 11:42:14	ga_ls7e_ard_3-1-0_115077_2019-05-29_final
2019-06-12 10:14:25	ga_ls7e_ard_3-1-0_101075_2019-06-12_final
2019-06-20 11:05:57	ga_ls7e_ard_3-1-0_109081_2019-06-20_final
2019-08-31 10:11:37	ga_ls7e_ard_3-1-0_101076_2019-08-31_final
2019-09-11 11:27:54	ga_ls7e_ard_3-1-0_114067_2019-09-11_final
2019-09-19 10:42:05	ga_ls7e_ard_3-1-0_106077_2019-09-19_final
2019-09-20 09:45:13	ga_ls7e_ard_3-1-0_097074_2019-09-20_final
2019-09-25 10:06:20	ga_ls7e_ard_3-1-0_100081_2019-09-25_final
2019-09-27 11:27:11	ga_ls7e_ard_3-1-0_114067_2019-09-27_final
2019-10-06 09:44:33	ga_ls7e_ard_3-1-0_097074_2019-10-06_final
2019-10-10 11:00:09	ga_ls7e_ard_3-1-0_109078_2019-10-10_final
2019-10-17 09:26:21	ga_ls7e_ard_3-1-0_094076_2019-10-16_final
2019-11-02 11:04:56	ga_ls7e_ard_3-1-0_110077_2019-11-02_final
2019-11-07 09:43:58	ga_ls7e_ard_3-1-0_097076_2019-11-07_final
2019-11-07 11:23:39	ga_ls7e_ard_3-1-0_113078_2019-11-07_final
2019-11-08 10:24:23	ga_ls7e_ard_3-1-0_104069_2019-11-08_final
2019-11-11 10:59:56	ga_ls7e_ard_3-1-0_109081_2019-11-11_final
2019-11-12 10:03:28	ga_ls7e_ard_3-1-0_100079_2019-11-12_final
2019-11-18 09:24:31	ga_ls7e_ard_3-1-0_094075_2019-11-17_final
2019-11-22 10:41:17	ga_ls7e_ard_3-1-0_106082_2019-11-22_final
2019-11-24 10:26:50	ga_ls7e_ard_3-1-0_104077_2019-11-24_final
2019-11-25 11:10:51	ga_ls7e_ard_3-1-0_111079_2019-11-25_final
2019-12-19 10:17:01	ga_ls7e_ard_3-1-0_103071_2019-12-19_final
2019-12-26 10:23:14	ga_ls7e_ard_3-1-0_104072_2019-12-26_final
2019-12-28 10:11:34	ga_ls7e_ard_3-1-0_102074_2019-12-28_final
2019-12-30 10:01:54	ga_ls7e_ard_3-1-0_100081_2019-12-30_final
2019-12-31 10:43:55	ga_ls7e_ard_3-1-0_107078_2019-12-31_final
2020-01-01 09:46:38	ga_ls7e_ard_3-1-0_098074_2020-01-01_final
2020-01-03 09:34:58	ga_ls7e_ard_3-1-0_096076_2020-01-03_final
2020-01-15 09:59:05	ga_ls7e_ard_3-1-0_100076_2020-01-15_final
2020-01-22 10:06:31	ga_ls7e_ard_3-1-0_101080_2020-01-22_final
2020-01-26 11:19:17	ga_ls7e_ard_3-1-0_113077_2020-01-26_final
2020-02-06 11:00:35	ga_ls7e_ard_3-1-0_110078_2020-02-06_final
2020-02-17 10:39:29	ga_ls7e_ard_3-1-0_107073_2020-02-17_final
2020-03-13 10:33:34	ga_ls7e_ard_3-1-0_106077_2020-03-13_final
2020-03-16 11:03:54	ga_ls7e_ard_3-1-0_111076_2020-03-16_final
2020-03-26 10:00:21	ga_ls7e_ard_3-1-0_101073_2020-03-26_final
2020-04-14 10:33:45	ga_ls7e_ard_3-1-0_106082_2020-04-14_final
2020-04-16 10:18:53	ga_ls7e_ard_3-1-0_104076_2020-04-16_final
2020-04-26 09:17:41	ga_ls7e_ard_3-1-0_094079_2020-04-25_final
2022-03-13 10:13:04	ga_ls7e_ard_3-2-1_112075_2022-03-13_final
2022-03-15 10:02:29	ga_ls7e_ard_3-2-1_110080_2022-03-15_final
2022-03-26 09:42:30	ga_ls7e_ard_3-2-1_107079_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