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
2001-02-26 09:30:22	ga_ls7e_ard_3-1-0_093087_2001-02-26_final
2002-01-28 09:27:15	ga_ls7e_ard_3-1-0_093083_2002-01-27_final
2002-10-11 09:27:37	ga_ls7e_ard_3-1-0_093087_2002-10-10_final
2002-12-14 09:26:41	ga_ls7e_ard_3-1-0_093083_2002-12-13_final
2003-08-08 10:29:37	ga_ls7e_ard_3-1-0_104070_2003-08-08_final
2004-07-25 10:30:08	ga_ls7e_ard_3-1-0_104070_2004-07-25_final
2005-09-30 10:30:18	ga_ls7e_ard_3-1-0_104070_2005-09-30_final
2005-12-03 10:30:49	ga_ls7e_ard_3-1-0_104070_2005-12-03_final
2006-01-25 10:52:07	ga_ls7e_ard_3-1-0_107076_2006-01-25_final
2006-03-12 09:30:08	ga_ls7e_ard_3-1-0_093087_2006-03-12_final
2006-11-20 10:31:13	ga_ls7e_ard_3-1-0_104070_2006-11-20_final
2007-01-10 09:29:51	ga_ls7e_ard_3-1-0_093086_2007-01-09_final
2007-01-26 09:29:55	ga_ls7e_ard_3-1-0_093086_2007-01-25_final
2008-01-10 10:31:35	ga_ls7e_ard_3-1-0_104070_2008-01-10_final
2008-03-01 09:25:50	ga_ls7e_ard_3-1-0_093076_2008-02-29_final
2008-03-01 09:26:38	ga_ls7e_ard_3-1-0_093078_2008-02-29_final
2009-04-18 10:31:35	ga_ls7e_ard_3-1-0_104070_2009-04-18_final
2009-09-25 10:31:22	ga_ls7e_ard_3-1-0_104070_2009-09-25_final
2009-12-17 09:29:51	ga_ls7e_ard_3-1-0_093084_2009-12-16_final
2010-02-04 10:11:53	ga_ls7e_ard_3-1-0_100079_2010-02-04_final
2010-06-24 10:33:24	ga_ls7e_ard_3-1-0_104070_2010-06-24_final
2010-06-27 09:30:37	ga_ls7e_ard_3-1-0_093083_2010-06-27_final
2010-07-10 10:33:26	ga_ls7e_ard_3-1-0_104070_2010-07-10_final
2010-07-26 10:33:27	ga_ls7e_ard_3-1-0_104070_2010-07-26_final
2011-02-03 10:34:38	ga_ls7e_ard_3-1-0_104070_2011-02-03_final
2011-03-10 09:30:00	ga_ls7e_ard_3-1-0_093078_2011-03-10_final
2011-03-26 09:30:01	ga_ls7e_ard_3-1-0_093078_2011-03-26_final
2011-10-17 10:34:31	ga_ls7e_ard_3-1-0_104070_2011-10-17_final
2012-11-20 10:37:12	ga_ls7e_ard_3-1-0_104070_2012-11-20_final
2013-02-24 10:37:23	ga_ls7e_ard_3-1-0_104070_2013-02-24_final
2013-10-06 10:37:07	ga_ls7e_ard_3-1-0_104070_2013-10-06_final
2014-01-29 09:36:52	ga_ls7e_ard_3-1-0_093087_2014-01-29_final
2014-08-22 10:38:51	ga_ls7e_ard_3-1-0_104070_2014-08-22_final
2014-11-29 09:38:22	ga_ls7e_ard_3-1-0_093087_2014-11-29_final
2015-04-22 09:37:39	ga_ls7e_ard_3-1-0_093083_2015-04-22_final
2015-07-08 10:40:56	ga_ls7e_ard_3-1-0_104070_2015-07-08_final
2016-01-20 10:22:35	ga_ls7e_ard_3-1-0_100081_2016-01-20_final
2016-04-05 10:43:24	ga_ls7e_ard_3-1-0_104070_2016-04-05_final
2017-05-26 10:43:45	ga_ls7e_ard_3-1-0_104070_2017-05-26_final
2017-08-30 10:43:50	ga_ls7e_ard_3-1-0_104070_2017-08-30_final
2018-05-13 10:41:29	ga_ls7e_ard_3-1-0_104070_2018-05-13_final
2018-06-14 10:40:57	ga_ls7e_ard_3-1-0_104070_2018-06-14_final
2018-08-17 10:39:46	ga_ls7e_ard_3-1-0_104070_2018-08-17_final
2018-11-24 09:34:43	ga_ls7e_ard_3-1-0_093083_2018-11-24_final
2019-01-27 09:34:26	ga_ls7e_ard_3-1-0_093087_2019-01-27_final
2019-02-22 10:06:20	ga_ls7e_ard_3-1-0_099076_2019-02-22_final
2019-02-22 10:09:32	ga_ls7e_ard_3-1-0_099084_2019-02-22_final
2019-02-28 09:33:52	ga_ls7e_ard_3-1-0_093088_2019-02-28_final
2019-03-02 10:54:20	ga_ls7e_ard_3-1-0_107073_2019-03-02_final
2019-03-02 10:57:08	ga_ls7e_ard_3-1-0_107080_2019-03-02_final
2019-03-22 10:28:58	ga_ls7e_ard_3-1-0_103073_2019-03-22_final
2019-05-16 10:31:56	ga_ls7e_ard_3-1-0_104070_2019-05-16_final
2019-07-03 10:30:10	ga_ls7e_ard_3-1-0_104070_2019-07-03_final
2019-08-25 10:46:58	ga_ls7e_ard_3-1-0_107071_2019-08-25_final
2019-08-25 10:50:33	ga_ls7e_ard_3-1-0_107080_2019-08-25_final
2019-08-25 10:50:57	ga_ls7e_ard_3-1-0_107081_2019-08-25_final
2019-08-29 10:25:40	ga_ls7e_ard_3-1-0_103080_2019-08-29_final
2019-09-24 09:23:55	ga_ls7e_ard_3-1-0_093083_2019-09-23_final
2019-10-04 09:56:36	ga_ls7e_ard_3-1-0_099073_2019-10-04_final
2019-10-07 10:26:34	ga_ls7e_ard_3-1-0_104071_2019-10-07_final
2019-10-10 09:22:27	ga_ls7e_ard_3-1-0_093081_2019-10-09_final
2019-10-10 09:25:15	ga_ls7e_ard_3-1-0_093088_2019-10-09_final
2019-10-11 10:03:41	ga_ls7e_ard_3-1-0_100076_2019-10-11_final
2019-10-11 10:06:28	ga_ls7e_ard_3-1-0_100083_2019-10-11_final
2019-10-23 10:25:30	ga_ls7e_ard_3-1-0_104070_2019-10-23_final
2019-10-23 10:25:54	ga_ls7e_ard_3-1-0_104071_2019-10-23_final
2019-10-28 10:47:25	ga_ls7e_ard_3-1-0_107079_2019-10-28_final
2019-11-05 09:55:13	ga_ls7e_ard_3-1-0_099073_2019-11-05_final
2019-11-08 10:27:59	ga_ls7e_ard_3-1-0_104078_2019-11-08_final
2019-11-12 10:03:52	ga_ls7e_ard_3-1-0_100080_2019-11-12_final
2019-11-13 10:47:05	ga_ls7e_ard_3-1-0_107080_2019-11-13_final
2019-11-27 09:19:06	ga_ls7e_ard_3-1-0_093078_2019-11-26_final
2019-12-10 10:24:03	ga_ls7e_ard_3-1-0_104072_2019-12-10_final
2019-12-13 09:20:43	ga_ls7e_ard_3-1-0_093084_2019-12-12_final
2020-01-14 09:17:05	ga_ls7e_ard_3-1-0_093079_2020-01-13_final
2020-01-15 10:00:41	ga_ls7e_ard_3-1-0_100080_2020-01-15_final
2020-02-01 10:43:06	ga_ls7e_ard_3-1-0_107080_2020-02-01_final
2020-02-05 10:17:23	ga_ls7e_ard_3-1-0_103078_2020-02-05_final
2020-02-12 10:24:00	ga_ls7e_ard_3-1-0_104080_2020-02-12_final
2020-02-15 09:15:28	ga_ls7e_ard_3-1-0_093079_2020-02-14_final
2020-02-17 10:39:05	ga_ls7e_ard_3-1-0_107072_2020-02-17_final
2020-02-21 10:13:46	ga_ls7e_ard_3-1-0_103071_2020-02-21_final
2020-03-04 10:41:50	ga_ls7e_ard_3-1-0_107081_2020-03-04_final
2020-03-20 10:37:46	ga_ls7e_ard_3-1-0_107073_2020-03-20_final
2020-03-20 10:38:57	ga_ls7e_ard_3-1-0_107076_2020-03-20_final
2020-03-20 10:41:45	ga_ls7e_ard_3-1-0_107083_2020-03-20_final
2020-04-04 09:54:27	ga_ls7e_ard_3-1-0_100075_2020-04-04_final
2020-04-04 09:57:39	ga_ls7e_ard_3-1-0_100083_2020-04-04_final
2022-03-15 10:00:06	ga_ls7e_ard_3-2-1_110074_2022-03-15_final
2022-03-17 08:11:27	ga_ls7e_ard_3-2-1_092081_2022-03-16_final
2022-03-24 08:16:58	ga_ls7e_ard_3-2-1_093081_2022-03-23_final
2022-03-24 09:55:51	ga_ls7e_ard_3-2-1_109081_2022-03-24_final
2022-03-26 09:43:18	ga_ls7e_ard_3-2-1_107081_2022-03-26_final
2022-03-27 10:25:16	ga_ls7e_ard_3-2-1_114078_2022-03-27_final
2022-03-28 09:26:22	ga_ls7e_ard_3-2-1_105070_2022-03-27_final
2022-03-31 08:23:41	ga_ls7e_ard_3-2-1_094084_2022-03-30_final
2022-03-31 08:24:53	ga_ls7e_ard_3-2-1_094087_2022-03-30_final
2022-04-02 08:10:44	ga_ls7e_ard_3-2-1_092083_2022-04-01_final
2022-04-02 09:44:01	ga_ls7e_ard_3-2-1_108069_2022-04-02_final
2022-04-03 08:49:54	ga_ls7e_ard_3-2-1_099073_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