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
1999-07-09 10:02:42	ga_ls7e_ard_3-1-0_099069_1999-07-09_final
2000-10-28 09:28:33	ga_ls7e_ard_3-1-0_094067_2000-10-27_final
2000-12-15 09:28:38	ga_ls7e_ard_3-1-0_094067_2000-12-14_final
2000-12-31 09:28:39	ga_ls7e_ard_3-1-0_094067_2000-12-30_final
2001-11-06 10:29:37	ga_ls7e_ard_3-1-0_104070_2001-11-06_final
2002-07-24 10:10:20	ga_ls7e_ard_3-1-0_100084_2002-07-24_final
2003-02-27 09:09:21	ga_ls7e_ard_3-1-0_090085_2003-02-26_final
2003-08-24 10:29:37	ga_ls7e_ard_3-1-0_104070_2003-08-24_final
2004-05-15 10:24:14	ga_ls7e_ard_3-1-0_103070_2004-05-15_final
2004-05-15 10:25:26	ga_ls7e_ard_3-1-0_103073_2004-05-15_final
2004-10-07 09:31:54	ga_ls7e_ard_3-1-0_094080_2004-10-07_final
2005-07-26 09:07:18	ga_ls7e_ard_3-1-0_090078_2005-07-25_final
2005-09-30 10:30:18	ga_ls7e_ard_3-1-0_104070_2005-09-30_final
2006-06-23 09:34:34	ga_ls7e_ard_3-1-0_094083_2006-06-23_final
2006-12-09 09:29:46	ga_ls7e_ard_3-1-0_093086_2006-12-08_final
2007-01-31 11:23:48	ga_ls7e_ard_3-1-0_112077_2007-01-31_final
2007-02-08 10:31:37	ga_ls7e_ard_3-1-0_104070_2007-02-08_final
2007-03-28 10:31:46	ga_ls7e_ard_3-1-0_104070_2007-03-28_final
2007-08-22 09:28:25	ga_ls7e_ard_3-1-0_093083_2007-08-21_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
2008-04-29 09:10:46	ga_ls7e_ard_3-1-0_090085_2008-04-28_final
2009-02-16 09:29:57	ga_ls7e_ard_3-1-0_093087_2009-02-15_final
2009-05-04 10:31:38	ga_ls7e_ard_3-1-0_104070_2009-05-04_final
2009-05-20 10:31:40	ga_ls7e_ard_3-1-0_104070_2009-05-20_final
2009-06-09 10:11:20	ga_ls7e_ard_3-1-0_100081_2009-06-09_final
2010-01-03 10:11:25	ga_ls7e_ard_3-1-0_100079_2010-01-03_final
2011-04-02 09:38:14	ga_ls7e_ard_3-1-0_094083_2011-04-02_final
2011-08-14 10:34:38	ga_ls7e_ard_3-1-0_104070_2011-08-14_final
2012-03-28 09:32:33	ga_ls7e_ard_3-1-0_093083_2012-03-28_final
2012-11-20 10:37:12	ga_ls7e_ard_3-1-0_104070_2012-11-20_final
2012-12-06 10:37:12	ga_ls7e_ard_3-1-0_104070_2012-12-06_final
2012-12-22 10:37:22	ga_ls7e_ard_3-1-0_104070_2012-12-22_final
2013-12-25 10:37:37	ga_ls7e_ard_3-1-0_104070_2013-12-25_final
2014-07-19 09:18:14	ga_ls7e_ard_3-1-0_090085_2014-07-18_final
2014-10-23 09:18:46	ga_ls7e_ard_3-1-0_090085_2014-10-22_final
2014-11-29 09:38:22	ga_ls7e_ard_3-1-0_093087_2014-11-29_final
2016-07-26 10:43:50	ga_ls7e_ard_3-1-0_104070_2016-07-26_final
2016-10-14 10:43:59	ga_ls7e_ard_3-1-0_104070_2016-10-14_final
2016-11-18 09:40:58	ga_ls7e_ard_3-1-0_093083_2016-11-18_final
2017-09-07 11:38:52	ga_ls7e_ard_3-1-0_112084_2017-09-07_final
2018-05-05 11:36:38	ga_ls7e_ard_3-1-0_112084_2018-05-05_final
2018-08-17 10:39:46	ga_ls7e_ard_3-1-0_104070_2018-08-17_final
2019-02-19 09:38:44	ga_ls7e_ard_3-1-0_094084_2019-02-19_final
2019-02-22 10:06:20	ga_ls7e_ard_3-1-0_099076_2019-02-22_final
2019-03-13 10:33:51	ga_ls7e_ard_3-1-0_104069_2019-03-13_final
2019-03-17 10:13:23	ga_ls7e_ard_3-1-0_100080_2019-03-17_final
2019-03-18 10:54:37	ga_ls7e_ard_3-1-0_107075_2019-03-18_final
2019-08-29 10:20:53	ga_ls7e_ard_3-1-0_103068_2019-08-29_final
2019-09-05 10:29:09	ga_ls7e_ard_3-1-0_104074_2019-09-05_final
2019-09-21 10:26:50	ga_ls7e_ard_3-1-0_104070_2019-09-21_final
2019-09-21 10:27:14	ga_ls7e_ard_3-1-0_104071_2019-09-21_final
2019-09-24 09:24:19	ga_ls7e_ard_3-1-0_093084_2019-09-23_final
2019-09-30 10:19:53	ga_ls7e_ard_3-1-0_103069_2019-09-30_final
2019-10-12 10:45:42	ga_ls7e_ard_3-1-0_107073_2019-10-12_final
2019-10-17 09:25:33	ga_ls7e_ard_3-1-0_094074_2019-10-16_final
2019-10-17 09:28:21	ga_ls7e_ard_3-1-0_094081_2019-10-16_final
2019-10-23 10:25:30	ga_ls7e_ard_3-1-0_104070_2019-10-23_final
2019-10-23 10:28:17	ga_ls7e_ard_3-1-0_104077_2019-10-23_final
2019-10-28 10:46:37	ga_ls7e_ard_3-1-0_107077_2019-10-28_final
2019-10-31 11:16:59	ga_ls7e_ard_3-1-0_112076_2019-10-31_final
2019-11-05 09:58:25	ga_ls7e_ard_3-1-0_099081_2019-11-05_final
2019-11-08 10:29:10	ga_ls7e_ard_3-1-0_104081_2019-11-08_final
2019-11-12 10:04:16	ga_ls7e_ard_3-1-0_100081_2019-11-12_final
2019-11-18 09:26:55	ga_ls7e_ard_3-1-0_094081_2019-11-17_final
2019-11-27 09:21:06	ga_ls7e_ard_3-1-0_093083_2019-11-26_final
2019-12-03 10:21:25	ga_ls7e_ard_3-1-0_103080_2019-12-03_final
2019-12-10 10:26:51	ga_ls7e_ard_3-1-0_104079_2019-12-10_final
2019-12-18 11:16:41	ga_ls7e_ard_3-1-0_112081_2019-12-18_final
2019-12-20 09:25:20	ga_ls7e_ard_3-1-0_094081_2019-12-19_final
2019-12-26 10:22:26	ga_ls7e_ard_3-1-0_104070_2019-12-26_final
2019-12-29 09:18:42	ga_ls7e_ard_3-1-0_093081_2019-12-28_final
2019-12-31 10:43:55	ga_ls7e_ard_3-1-0_107078_2019-12-31_final
2020-01-03 11:13:27	ga_ls7e_ard_3-1-0_112075_2020-01-03_final
2020-01-04 10:18:11	ga_ls7e_ard_3-1-0_103076_2020-01-04_final
2020-01-04 10:18:35	ga_ls7e_ard_3-1-0_103077_2020-01-04_final
2020-01-11 10:24:00	ga_ls7e_ard_3-1-0_104076_2020-01-11_final
2020-01-11 10:24:24	ga_ls7e_ard_3-1-0_104077_2020-01-11_final
2020-01-14 09:17:52	ga_ls7e_ard_3-1-0_093081_2020-01-13_final
2020-01-21 09:23:19	ga_ls7e_ard_3-1-0_094080_2020-01-20_final
2020-01-30 09:19:53	ga_ls7e_ard_3-1-0_093088_2020-01-29_final
2020-02-01 10:43:06	ga_ls7e_ard_3-1-0_107080_2020-02-01_final
2020-02-15 09:14:40	ga_ls7e_ard_3-1-0_093077_2020-02-14_final
2020-02-16 09:56:17	ga_ls7e_ard_3-1-0_100073_2020-02-16_final
2020-02-21 10:16:09	ga_ls7e_ard_3-1-0_103077_2020-02-21_final
2020-03-02 09:15:49	ga_ls7e_ard_3-1-0_093082_2020-03-01_final
2020-03-15 10:17:54	ga_ls7e_ard_3-1-0_104069_2020-03-15_final
2020-03-18 09:13:45	ga_ls7e_ard_3-1-0_093079_2020-03-17_final
2020-03-20 10:37:22	ga_ls7e_ard_3-1-0_107072_2020-03-20_final
2020-03-24 10:12:49	ga_ls7e_ard_3-1-0_103073_2020-03-24_final
2020-04-08 11:11:11	ga_ls7e_ard_3-1-0_112082_2020-04-08_final
2020-04-19 09:14:19	ga_ls7e_ard_3-1-0_093085_2020-04-18_final
2020-04-21 10:35:08	ga_ls7e_ard_3-1-0_107071_2020-04-21_final
2020-04-26 09:18:29	ga_ls7e_ard_3-1-0_094081_2020-04-25_final
2022-03-15 10:03:17	ga_ls7e_ard_3-2-1_110082_2022-03-15_final
2022-03-20 10:20:08	ga_ls7e_ard_3-2-1_113079_2022-03-20_final
2022-03-29 10:13:07	ga_ls7e_ard_3-2-1_112079_2022-03-29_final
2022-03-31 10:01:22	ga_ls7e_ard_3-2-1_110081_2022-03-31_final
2022-04-01 09:04:03	ga_ls7e_ard_3-2-1_101077_2022-03-31_final
2022-04-05 08:40:31	ga_ls7e_ard_3-2-1_097081_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