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
2001-05-14 10:31:07	ga_ls7e_ard_3-1-0_104070_2001-05-14_final
2001-06-02 09:28:57	ga_ls7e_ard_3-1-0_093085_2001-06-01_final
2004-05-09 09:27:37	ga_ls7e_ard_3-1-0_093083_2004-05-08_final
2004-09-15 10:09:31	ga_ls7e_ard_3-1-0_100081_2004-09-15_final
2004-12-16 10:34:01	ga_ls7e_ard_3-1-0_104079_2004-12-16_final
2005-04-23 10:30:46	ga_ls7e_ard_3-1-0_104070_2005-04-23_final
2005-06-10 10:30:43	ga_ls7e_ard_3-1-0_104070_2005-06-10_final
2005-10-20 10:10:05	ga_ls7e_ard_3-1-0_100081_2005-10-20_final
2006-11-20 10:31:13	ga_ls7e_ard_3-1-0_104070_2006-11-20_final
2007-01-23 10:31:30	ga_ls7e_ard_3-1-0_104070_2007-01-23_final
2007-04-13 10:31:45	ga_ls7e_ard_3-1-0_104070_2007-04-13_final
2007-04-29 10:31:41	ga_ls7e_ard_3-1-0_104070_2007-04-29_final
2007-05-31 10:31:29	ga_ls7e_ard_3-1-0_104070_2007-05-31_final
2007-07-18 10:31:25	ga_ls7e_ard_3-1-0_104070_2007-07-18_final
2008-01-29 09:29:58	ga_ls7e_ard_3-1-0_093086_2008-01-28_final
2008-03-01 09:27:02	ga_ls7e_ard_3-1-0_093079_2008-02-29_final
2009-02-16 09:29:57	ga_ls7e_ard_3-1-0_093087_2009-02-15_final
2009-05-20 10:31:40	ga_ls7e_ard_3-1-0_104070_2009-05-20_final
2009-11-16 10:11:07	ga_ls7e_ard_3-1-0_100080_2009-11-16_final
2010-09-28 10:33:30	ga_ls7e_ard_3-1-0_104070_2010-09-28_final
2010-10-01 09:29:03	ga_ls7e_ard_3-1-0_093079_2010-09-30_final
2011-06-14 09:32:01	ga_ls7e_ard_3-1-0_093083_2011-06-14_final
2011-09-15 10:34:30	ga_ls7e_ard_3-1-0_104070_2011-09-15_final
2012-02-22 10:35:22	ga_ls7e_ard_3-1-0_104070_2012-02-22_final
2012-03-28 09:32:33	ga_ls7e_ard_3-1-0_093083_2012-03-28_final
2012-05-12 10:35:55	ga_ls7e_ard_3-1-0_104070_2012-05-12_final
2012-11-04 10:37:04	ga_ls7e_ard_3-1-0_104070_2012-11-04_final
2012-12-09 09:34:27	ga_ls7e_ard_3-1-0_093083_2012-12-09_final
2013-01-23 10:41:24	ga_ls7e_ard_3-1-0_104080_2013-01-23_final
2013-04-29 10:37:08	ga_ls7e_ard_3-1-0_104070_2013-04-29_final
2013-08-19 10:36:33	ga_ls7e_ard_3-1-0_104070_2013-08-19_final
2013-08-19 10:40:09	ga_ls7e_ard_3-1-0_104079_2013-08-19_final
2013-08-22 09:33:48	ga_ls7e_ard_3-1-0_093083_2013-08-22_final
2013-10-06 10:37:07	ga_ls7e_ard_3-1-0_104070_2013-10-06_final
2014-04-16 10:38:19	ga_ls7e_ard_3-1-0_104070_2014-04-16_final
2015-12-03 10:21:50	ga_ls7e_ard_3-1-0_100081_2015-12-03_final
2016-08-31 10:23:35	ga_ls7e_ard_3-1-0_100081_2016-08-31_final
2016-10-30 10:43:54	ga_ls7e_ard_3-1-0_104070_2016-10-30_final
2017-02-22 09:42:03	ga_ls7e_ard_3-1-0_093087_2017-02-22_final
2019-01-11 09:34:57	ga_ls7e_ard_3-1-0_093087_2019-01-11_final
2019-02-22 10:08:20	ga_ls7e_ard_3-1-0_099081_2019-02-22_final
2019-03-01 10:12:18	ga_ls7e_ard_3-1-0_100076_2019-03-01_final
2019-03-02 10:55:08	ga_ls7e_ard_3-1-0_107075_2019-03-02_final
2019-03-10 10:07:50	ga_ls7e_ard_3-1-0_099081_2019-03-10_final
2019-03-16 09:28:58	ga_ls7e_ard_3-1-0_093077_2019-03-15_final
2019-03-16 09:30:09	ga_ls7e_ard_3-1-0_093080_2019-03-16_final
2019-03-16 09:32:33	ga_ls7e_ard_3-1-0_093086_2019-03-16_final
2019-03-17 10:10:59	ga_ls7e_ard_3-1-0_100074_2019-03-17_final
2019-03-22 10:28:58	ga_ls7e_ard_3-1-0_103073_2019-03-22_final
2019-03-29 10:35:18	ga_ls7e_ard_3-1-0_104074_2019-03-29_final
2019-05-19 09:29:01	ga_ls7e_ard_3-1-0_093083_2019-05-18_final
2019-08-25 10:47:46	ga_ls7e_ard_3-1-0_107073_2019-08-25_final
2019-09-09 10:06:15	ga_ls7e_ard_3-1-0_100079_2019-09-09_final
2019-10-07 10:26:10	ga_ls7e_ard_3-1-0_104070_2019-10-07_final
2019-10-07 10:26:58	ga_ls7e_ard_3-1-0_104072_2019-10-07_final
2019-10-11 10:02:29	ga_ls7e_ard_3-1-0_100073_2019-10-11_final
2019-10-23 10:25:30	ga_ls7e_ard_3-1-0_104070_2019-10-23_final
2019-10-23 10:27:06	ga_ls7e_ard_3-1-0_104074_2019-10-23_final
2019-11-08 10:29:10	ga_ls7e_ard_3-1-0_104081_2019-11-08_final
2019-12-10 10:24:03	ga_ls7e_ard_3-1-0_104072_2019-12-10_final
2019-12-13 09:21:31	ga_ls7e_ard_3-1-0_093086_2019-12-12_final
2019-12-14 10:01:56	ga_ls7e_ard_3-1-0_100079_2019-12-14_final
2019-12-26 10:26:02	ga_ls7e_ard_3-1-0_104079_2019-12-26_final
2020-01-15 10:00:17	ga_ls7e_ard_3-1-0_100079_2020-01-15_final
2020-01-30 09:16:17	ga_ls7e_ard_3-1-0_093079_2020-01-29_final
2020-02-12 10:20:48	ga_ls7e_ard_3-1-0_104072_2020-02-12_final
2020-02-15 09:15:04	ga_ls7e_ard_3-1-0_093078_2020-02-14_final
2020-02-28 10:21:34	ga_ls7e_ard_3-1-0_104076_2020-02-28_final
2020-03-02 09:14:13	ga_ls7e_ard_3-1-0_093078_2020-03-01_final
2020-03-04 10:41:02	ga_ls7e_ard_3-1-0_107079_2020-03-04_final
2020-03-04 10:41:26	ga_ls7e_ard_3-1-0_107080_2020-03-04_final
2020-03-08 10:16:30	ga_ls7e_ard_3-1-0_103080_2020-03-08_final
2020-03-19 09:55:21	ga_ls7e_ard_3-1-0_100075_2020-03-19_final
2020-03-28 09:47:52	ga_ls7e_ard_3-1-0_099073_2020-03-28_final
2020-04-03 09:12:27	ga_ls7e_ard_3-1-0_093078_2020-04-02_final
2020-04-05 10:35:40	ga_ls7e_ard_3-1-0_107070_2020-04-05_final
2020-04-19 09:09:56	ga_ls7e_ard_3-1-0_093074_2020-04-18_final
2020-04-19 09:11:55	ga_ls7e_ard_3-1-0_093079_2020-04-18_final
2020-04-20 09:53:32	ga_ls7e_ard_3-1-0_100075_2020-04-20_final
2020-04-25 10:09:47	ga_ls7e_ard_3-1-0_103070_2020-04-25_final
2022-03-13 08:35:47	ga_ls7e_ard_3-2-1_096079_2022-03-12_final
2022-03-13 10:13:28	ga_ls7e_ard_3-2-1_112076_2022-03-13_final
2022-03-13 10:15:27	ga_ls7e_ard_3-2-1_112081_2022-03-13_final
2022-03-14 09:18:32	ga_ls7e_ard_3-2-1_103078_2022-03-13_final
2022-03-17 08:11:27	ga_ls7e_ard_3-2-1_092081_2022-03-16_final
2022-03-17 09:50:43	ga_ls7e_ard_3-2-1_108082_2022-03-17_final
2022-03-18 10:31:53	ga_ls7e_ard_3-2-1_115077_2022-03-18_final
2022-03-20 08:42:51	ga_ls7e_ard_3-2-1_097083_2022-03-19_final
2022-03-22 10:03:12	ga_ls7e_ard_3-2-1_111068_2022-03-22_final
2022-03-23 09:09:53	ga_ls7e_ard_3-2-1_102074_2022-03-22_final
2022-03-23 09:11:05	ga_ls7e_ard_3-2-1_102077_2022-03-22_final
2022-03-24 08:14:58	ga_ls7e_ard_3-2-1_093076_2022-03-23_final
2022-03-26 09:40:06	ga_ls7e_ard_3-2-1_107073_2022-03-26_final
2022-03-27 08:47:11	ga_ls7e_ard_3-2-1_098080_2022-03-26_final
2022-03-29 10:11:31	ga_ls7e_ard_3-2-1_112075_2022-03-29_final
2022-03-29 10:12:43	ga_ls7e_ard_3-2-1_112078_2022-03-29_final
2022-04-02 08:09:56	ga_ls7e_ard_3-2-1_092081_2022-04-01_final
2022-04-03 08:49:54	ga_ls7e_ard_3-2-1_099073_2022-04-02_final
2022-04-04 07:58:58	ga_ls7e_ard_3-2-1_090085_2022-04-03_final
2022-04-04 09:34:39	ga_ls7e_ard_3-2-1_106077_2022-04-04_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