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
2000-01-05 09:39:14	ga_ls7e_ard_3-0-0_095072_2000-01-05_final
2000-05-12 11:17:49	ga_ls7e_ard_3-0-0_111073_2000-05-12_final
2000-05-27 08:59:05	ga_ls7e_ard_3-0-0_088082_2000-05-26_final
2000-05-28 11:17:14	ga_ls7e_ard_3-0-0_111072_2000-05-28_final
2002-08-18 11:40:33	ga_ls7e_ard_3-0-0_115078_2002-08-18_final
2004-04-03 11:27:42	ga_ls7e_ard_3-0-0_113074_2004-04-03_final
2004-06-24 11:14:18	ga_ls7e_ard_3-0-0_111072_2004-06-24_final
2004-07-10 11:15:04	ga_ls7e_ard_3-0-0_111074_2004-07-10_final
2004-10-26 11:39:59	ga_ls7e_ard_3-0-0_115075_2004-10-26_final
2004-11-13 11:27:23	ga_ls7e_ard_3-0-0_113074_2004-11-13_final
2005-02-03 11:12:47	ga_ls7e_ard_3-0-0_111067_2005-02-03_final
2005-06-04 11:12:38	ga_ls7e_ard_3-0-0_110082_2005-06-04_final
2005-06-25 11:27:51	ga_ls7e_ard_3-0-0_113074_2005-06-25_final
2005-06-27 11:14:41	ga_ls7e_ard_3-0-0_111072_2005-06-27_final
2005-07-29 09:41:24	ga_ls7e_ard_3-0-0_095086_2005-07-29_final
2005-11-09 11:21:42	ga_ls7e_ard_3-0-0_112074_2005-11-09_final
2005-12-20 09:36:01	ga_ls7e_ard_3-0-0_095072_2005-12-20_final
2006-02-22 11:15:22	ga_ls7e_ard_3-0-0_111072_2006-02-22_final
2006-04-02 11:25:55	ga_ls7e_ard_3-0-0_112083_2006-04-02_final
2006-05-25 11:42:04	ga_ls7e_ard_3-1-0_115077_2006-05-25_final
2006-06-29 08:56:39	ga_ls7e_ard_3-0-0_088081_2006-06-28_final
2006-06-30 09:34:19	ga_ls7e_ard_3-0-0_095067_2006-06-30_final
2007-01-31 11:22:36	ga_ls7e_ard_3-0-0_112074_2007-01-31_final
2007-06-01 11:15:32	ga_ls7e_ard_3-0-0_111072_2007-06-01_final
2007-09-21 09:41:47	ga_ls7e_ard_3-0-0_095086_2007-09-21_final
2008-04-30 11:30:55	ga_ls7e_ard_3-0-0_113080_2008-04-30_final
2008-05-09 11:22:18	ga_ls7e_ard_3-0-0_112074_2008-05-09_final
2008-11-06 11:39:50	ga_ls7e_ard_3-0-0_115074_2008-11-06_final
2009-08-08 08:57:19	ga_ls7e_ard_3-0-0_088082_2009-08-07_final
2009-08-09 09:42:34	ga_ls7e_ard_3-0-0_095087_2009-08-09_final
2009-12-24 11:15:03	ga_ls7e_ard_3-0-0_110084_2009-12-24_final
2010-06-07 11:27:47	ga_ls7e_ard_3-0-0_113067_2010-06-07_final
2010-12-02 11:18:12	ga_ls7e_ard_3-0-0_111072_2010-12-02_final
2011-01-17 11:31:45	ga_ls7e_ard_3-0-0_113074_2011-01-17_final
2011-02-03 09:00:08	ga_ls7e_ard_3-0-0_088081_2011-02-02_final
2011-04-07 11:35:40	ga_ls7e_ard_3-0-0_113083_2011-04-07_final
2011-05-27 09:40:24	ga_ls7e_ard_3-1-0_095073_2011-05-27_final
2011-06-12 09:45:35	ga_ls7e_ard_3-0-0_095086_2011-06-12_final
2011-06-26 11:35:58	ga_ls7e_ard_3-0-0_113084_2011-06-26_final
2012-01-06 09:40:26	ga_ls7e_ard_3-0-0_095072_2012-01-06_final
2012-01-29 11:23:30	ga_ls7e_ard_3-0-0_112067_2012-01-29_final
2012-06-21 11:23:56	ga_ls7e_ard_3-0-0_112067_2012-06-21_final
2012-09-01 09:02:26	ga_ls7e_ard_3-0-0_088082_2012-08-31_final
2012-09-30 11:48:00	ga_ls7e_ard_3-0-0_115078_2012-09-30_final
2013-03-13 11:21:49	ga_ls7e_ard_3-0-0_111073_2013-03-13_final
2013-06-01 11:21:02	ga_ls7e_ard_3-0-0_111072_2013-06-01_final
2013-06-29 11:47:57	ga_ls7e_ard_3-0-0_115078_2013-06-29_final
2013-08-20 09:39:45	ga_ls7e_ard_3-0-0_095067_2013-08-20_final
2013-09-05 11:25:13	ga_ls7e_ard_3-0-0_111083_2013-09-05_final
2013-09-21 09:47:41	ga_ls7e_ard_3-0-0_095086_2013-09-21_final
2013-09-21 09:48:05	ga_ls7e_ard_3-0-0_095087_2013-09-21_final
2013-11-08 11:21:26	ga_ls7e_ard_3-0-0_111072_2013-11-08_final
2014-02-12 09:43:37	ga_ls7e_ard_3-1-0_095073_2014-02-12_final
2014-04-01 11:22:16	ga_ls7e_ard_3-0-0_111072_2014-04-01_final
2014-05-01 11:39:39	ga_ls7e_ard_3-0-0_113084_2014-05-01_final
2014-06-04 11:26:17	ga_ls7e_ard_3-0-0_111081_2014-06-04_final
2014-11-16 11:44:28	ga_ls7e_ard_3-0-0_114078_2014-11-16_final
2015-02-15 09:50:40	ga_ls7e_ard_3-0-0_095086_2015-02-15_final
2015-08-26 11:24:44	ga_ls7e_ard_3-0-0_111071_2015-08-26_final
2015-09-27 11:25:39	ga_ls7e_ard_3-0-0_111073_2015-09-27_final
2015-11-21 11:30:16	ga_ls7e_ard_3-0-0_112067_2015-11-21_final
2015-11-30 09:45:19	ga_ls7e_ard_3-0-0_095067_2015-11-30_final
2016-01-24 11:37:59	ga_ls7e_ard_3-0-0_112084_2016-01-24_final
2018-01-02 11:54:33	ga_ls7e_ard_3-0-0_115078_2018-01-02_final
2018-01-22 11:27:09	ga_ls7e_ard_3-0-0_111072_2018-01-22_final
2018-06-22 11:31:51	ga_ls7e_ard_3-0-0_112074_2018-06-22_final
2018-07-01 09:51:23	ga_ls7e_ard_3-0-0_095086_2018-07-01_final
2018-07-17 11:25:11	ga_ls7e_ard_3-0-0_111074_2018-07-17_final
2018-10-14 11:19:31	ga_ls7e_ard_3-0-0_110080_2018-10-14_final
2018-12-08 11:21:37	ga_ls7e_ard_3-0-0_111073_2018-12-08_final
2019-02-10 09:40:47	ga_ls7e_ard_3-1-0_095073_2019-02-10_final
2019-08-28 11:22:56	ga_ls7e_ard_3-1-0_112084_2019-08-28_final
2020-01-12 09:26:44	ga_ls7e_ard_3-1-0_095072_2020-01-11_final
2020-02-18 11:25:29	ga_ls7e_ard_3-1-0_114080_2020-02-18_final
2020-03-14 11:15:34	ga_ls7e_ard_3-1-0_113074_2020-03-14_final
2020-11-02 10:55:03	ga_ls7e_ard_3-1-0_112074_2020-11-02_final
2021-02-12 10:08:39	ga_ls7e_ard_3-2-0_106069_2021-02-12_final
2021-02-13 10:55:02	ga_ls7e_ard_3-2-0_113077_2021-02-13_final
2021-03-06 09:35:28	ga_ls7e_ard_3-2-0_100083_2021-03-06_final
2021-03-12 10:36:24	ga_ls7e_ard_3-2-0_110082_2021-03-12_final
2021-03-23 10:12:35	ga_ls7e_ard_3-2-0_107071_2021-03-23_final
2021-03-25 10:01:40	ga_ls7e_ard_3-2-0_105075_2021-03-25_final
2021-04-05 09:44:37	ga_ls7e_ard_3-2-0_102081_2021-04-05_final
2021-04-17 10:06:20	ga_ls7e_ard_3-2-0_106076_2021-04-17_final
2021-04-29 10:27:39	ga_ls7e_ard_3-2-0_110070_2021-04-29_final
2021-05-13 10:40:26	ga_ls7e_ard_3-2-0_112074_2021-05-13_final
2021-05-15 08:46:14	ga_ls7e_ard_3-2-0_094067_2021-05-14_final
2021-05-25 09:28:51	ga_ls7e_ard_3-2-0_100083_2021-05-24_final
2021-06-15 09:41:15	ga_ls7e_ard_3-2-0_103072_2021-06-15_final
2021-07-25 10:26:55	ga_ls7e_ard_3-2-0_111071_2021-07-25_final
2021-07-27 10:16:23	ga_ls7e_ard_3-2-0_109076_2021-07-27_final
2021-10-15 10:08:56	ga_ls7e_ard_3-2-0_109075_2021-10-15_final
2021-10-17 08:21:06	ga_ls7e_ard_3-2-0_091084_2021-10-16_final
2021-10-25 10:46:18	ga_ls7e_ard_3-2-0_115078_2021-10-25_final
2021-10-31 10:07:04	ga_ls7e_ard_3-2-0_109074_2021-10-31_final
2021-11-30 10:15:22	ga_ls7e_ard_3-2-1_111071_2021-11-30_final
2021-11-30 10:16:09	ga_ls7e_ard_3-2-1_111073_2021-11-30_final
2021-12-20 09:49:08	ga_ls7e_ard_3-2-1_107072_2021-12-20_final
2022-01-01 08:33:47	ga_ls7e_ard_3-2-1_095072_2021-12-31_final
2022-01-21 08:11:32	ga_ls7e_ard_3-2-1_091083_2022-01-20_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