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
1999-08-10 11:44:54	ga_ls7e_ard_3-1-0_115077_1999-08-10_final
1999-08-26 11:44:56	ga_ls7e_ard_3-0-0_115077_1999-08-26_final
2000-01-01 11:44:48	ga_ls7e_ard_3-0-0_115077_2000-01-01_final
2000-01-21 09:43:11	ga_ls7e_ard_3-0-0_095082_2000-01-21_final
2000-06-13 09:43:51	ga_ls7e_ard_3-0-0_095086_2000-06-13_final
2001-03-24 11:42:11	ga_ls7e_ard_3-1-0_115077_2001-03-24_final
2001-04-29 09:42:04	ga_ls7e_ard_3-0-0_095086_2001-04-29_final
2002-04-16 09:33:11	ga_ls7e_ard_3-0-0_095067_2002-04-16_final
2002-04-16 09:36:46	ga_ls7e_ard_3-0-0_095076_2002-04-16_final
2002-06-03 09:35:25	ga_ls7e_ard_3-1-0_095073_2002-06-03_final
2002-07-21 09:39:05	ga_ls7e_ard_3-0-0_095083_2002-07-21_final
2002-10-25 09:38:36	ga_ls7e_ard_3-0-0_095083_2002-10-25_final
2003-03-14 11:40:44	ga_ls7e_ard_3-1-0_115077_2003-03-14_final
2003-12-15 09:35:58	ga_ls7e_ard_3-0-0_095074_2003-12-15_final
2004-05-03 11:41:11	ga_ls7e_ard_3-0-0_115077_2004-05-03_final
2004-10-26 11:40:47	ga_ls7e_ard_3-1-0_115077_2004-10-26_final
2005-01-02 09:40:33	ga_ls7e_ard_3-0-0_095084_2005-01-02_final
2005-12-04 09:41:11	ga_ls7e_ard_3-0-0_095085_2005-12-04_final
2005-12-20 09:36:49	ga_ls7e_ard_3-0-0_095074_2005-12-20_final
2006-02-06 09:40:49	ga_ls7e_ard_3-0-0_095083_2006-02-06_final
2006-03-15 11:36:19	ga_ls7e_ard_3-0-0_114078_2006-03-15_final
2007-02-09 09:37:59	ga_ls7e_ard_3-0-0_095075_2007-02-09_final
2007-02-09 09:41:11	ga_ls7e_ard_3-0-0_095083_2007-02-09_final
2007-06-22 11:36:29	ga_ls7e_ard_3-0-0_114078_2007-06-22_final
2007-07-24 11:36:23	ga_ls7e_ard_3-0-0_114078_2007-07-24_final
2007-08-20 09:41:36	ga_ls7e_ard_3-0-0_095085_2007-08-20_final
2008-07-21 09:41:43	ga_ls7e_ard_3-0-0_095087_2008-07-21_final
2008-12-12 09:38:15	ga_ls7e_ard_3-0-0_095078_2008-12-12_final
2009-01-02 11:35:50	ga_ls7e_ard_3-0-0_114078_2009-01-02_final
2009-01-29 09:40:09	ga_ls7e_ard_3-0-0_095082_2009-01-29_final
2009-10-01 11:37:32	ga_ls7e_ard_3-0-0_114081_2009-10-01_final
2009-12-15 09:39:23	ga_ls7e_ard_3-0-0_095077_2009-12-15_final
2009-12-20 11:37:18	ga_ls7e_ard_3-0-0_114078_2009-12-20_final
2010-06-30 11:38:25	ga_ls7e_ard_3-0-0_114078_2010-06-30_final
2010-07-07 11:44:13	ga_ls7e_ard_3-0-0_115077_2010-07-07_final
2010-10-15 09:36:47	ga_ls7e_ard_3-0-0_095067_2010-10-15_final
2010-12-18 09:44:38	ga_ls7e_ard_3-0-0_095085_2010-12-18_final
2011-04-09 09:44:25	ga_ls7e_ard_3-0-0_095083_2011-04-09_final
2012-01-27 11:40:38	ga_ls7e_ard_3-0-0_114079_2012-01-27_final
2012-08-29 11:46:28	ga_ls7e_ard_3-0-0_115075_2012-08-29_final
2013-03-02 11:42:46	ga_ls7e_ard_3-0-0_114079_2013-03-02_final
2013-05-16 09:46:40	ga_ls7e_ard_3-0-0_095083_2013-05-16_final
2013-09-10 11:42:13	ga_ls7e_ard_3-0-0_114079_2013-09-10_final
2014-11-27 09:47:55	ga_ls7e_ard_3-0-0_095080_2014-11-27_final
2014-12-13 09:49:14	ga_ls7e_ard_3-0-0_095083_2014-12-13_final
2015-08-26 09:51:02	ga_ls7e_ard_3-0-0_095084_2015-08-26_final
2015-10-13 09:47:21	ga_ls7e_ard_3-0-0_095074_2015-10-13_final
2016-07-11 09:49:45	ga_ls7e_ard_3-0-0_095074_2016-07-11_final
2017-01-08 11:48:51	ga_ls7e_ard_3-0-0_114079_2017-01-08_final
2017-06-28 09:51:51	ga_ls7e_ard_3-1-0_095079_2017-06-28_final
2018-07-17 09:50:41	ga_ls7e_ard_3-0-0_095085_2018-07-17_final
2018-08-02 09:50:24	ga_ls7e_ard_3-0-0_095085_2018-08-02_final
2019-01-09 09:45:47	ga_ls7e_ard_3-0-0_095083_2019-01-09_final
2019-08-05 09:40:02	ga_ls7e_ard_3-0-0_095087_2019-08-05_final
2020-07-11 11:16:21	ga_ls7e_ard_3-1-0_114078_2020-07-11_final
2021-02-17 08:53:31	ga_ls7e_ard_3-2-0_093083_2021-02-16_final
2021-02-25 09:37:58	ga_ls7e_ard_3-2-0_101072_2021-02-25_final
2021-03-21 10:29:30	ga_ls7e_ard_3-2-0_109082_2021-03-21_final
2021-03-28 10:34:19	ga_ls7e_ard_3-2-0_110080_2021-03-28_final
2021-04-01 08:31:35	ga_ls7e_ard_3-2-0_090083_2021-03-31_final
2021-04-02 09:11:10	ga_ls7e_ard_3-2-0_097074_2021-04-01_final
2021-04-12 09:49:01	ga_ls7e_ard_3-2-0_103078_2021-04-12_final
2021-05-31 08:50:03	ga_ls7e_ard_3-2-0_094080_2021-05-30_final
2021-06-06 09:48:10	ga_ls7e_ard_3-2-0_104072_2021-06-06_final
2021-06-16 08:48:45	ga_ls7e_ard_3-2-0_094080_2021-06-15_final
2021-06-20 08:23:42	ga_ls7e_ard_3-2-0_090080_2021-06-19_final
2021-07-16 08:53:24	ga_ls7e_ard_3-2-0_096067_2021-07-15_final
2021-07-19 09:27:14	ga_ls7e_ard_3-2-0_101075_2021-07-18_final
2021-07-27 10:19:10	ga_ls7e_ard_3-2-0_109083_2021-07-27_final
2021-07-28 09:20:40	ga_ls7e_ard_3-2-0_100076_2021-07-27_final
2021-08-12 08:38:53	ga_ls7e_ard_3-2-0_093083_2021-08-11_final
2021-08-21 10:10:23	ga_ls7e_ard_3-2-0_108082_2021-08-21_final
2021-08-24 09:00:57	ga_ls7e_ard_3-2-0_097079_2021-08-23_final
2021-08-25 09:40:08	ga_ls7e_ard_3-2-0_104069_2021-08-25_final
2021-09-05 09:23:26	ga_ls7e_ard_3-2-0_101076_2021-09-04_final
2021-09-26 09:37:19	ga_ls7e_ard_3-2-0_104069_2021-09-26_final
2021-10-04 08:51:10	ga_ls7e_ard_3-2-0_096079_2021-10-03_final
2021-11-03 10:39:41	ga_ls7e_ard_3-2-0_114079_2021-11-03_final
2021-11-09 08:25:57	ga_ls7e_ard_3-2-0_092086_2021-11-08_final
2021-11-13 09:34:08	ga_ls7e_ard_3-2-1_104072_2021-11-13_final
2021-11-14 08:41:13	ga_ls7e_ard_3-2-1_095079_2021-11-13_final
2021-11-19 10:38:08	ga_ls7e_ard_3-2-1_114079_2021-11-19_final
2021-12-09 10:10:44	ga_ls7e_ard_3-2-1_110077_2021-12-09_final
2021-12-14 08:51:07	ga_ls7e_ard_3-2-1_097080_2021-12-13_final
2021-12-24 09:26:49	ga_ls7e_ard_3-2-1_103079_2021-12-23_final
2021-12-25 10:11:58	ga_ls7e_ard_3-2-1_110084_2021-12-25_final
2021-12-30 08:47:08	ga_ls7e_ard_3-2-1_097074_2021-12-29_final
2021-12-30 08:48:44	ga_ls7e_ard_3-2-1_097078_2021-12-29_final
2022-01-03 08:25:36	ga_ls7e_ard_3-2-1_093083_2022-01-02_final
2022-01-10 08:31:55	ga_ls7e_ard_3-2-1_094085_2022-01-09_final
2022-02-02 10:11:33	ga_ls7e_ard_3-2-1_111077_2022-02-02_final
2022-02-03 09:16:38	ga_ls7e_ard_3-2-1_102079_2022-02-02_final
2022-02-15 08:02:25	ga_ls7e_ard_3-2-1_090082_2022-02-14_final
2022-02-18 10:11:31	ga_ls7e_ard_3-2-1_111081_2022-02-18_final
2022-02-26 09:18:07	ga_ls7e_ard_3-2-1_103073_2022-02-25_final
2022-03-01 09:51:56	ga_ls7e_ard_3-2-1_108081_2022-03-01_final
2022-03-05 09:26:01	ga_ls7e_ard_3-2-1_104079_2022-03-04_final
2022-03-10 09:43:16	ga_ls7e_ard_3-2-1_107077_2022-03-10_final
2022-03-14 09:15:21	ga_ls7e_ard_3-2-1_103070_2022-03-13_final
2022-03-21 09:22:26	ga_ls7e_ard_3-2-1_104074_2022-03-20_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