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
1999-11-08 09:05:49	ga_ls7e_ard_3-1-0_089081_1999-11-07_final
1999-12-06 09:32:54	ga_ls7e_ard_3-1-0_093087_1999-12-06_final
2000-11-29 11:09:29	ga_ls7e_ard_3-1-0_110072_2000-11-29_final
2001-12-06 10:44:05	ga_ls7e_ard_3-1-0_106075_2001-12-06_final
2002-12-25 10:42:43	ga_ls7e_ard_3-1-0_106072_2002-12-25_final
2003-02-07 11:07:45	ga_ls7e_ard_3-1-0_110072_2003-02-07_final
2004-01-06 09:05:02	ga_ls7e_ard_3-1-0_089089_2004-01-05_final
2004-02-22 09:57:14	ga_ls7e_ard_3-1-0_098080_2004-02-22_final
2004-07-20 10:13:37	ga_ls7e_ard_3-1-0_101075_2004-07-20_final
2004-09-21 11:07:43	ga_ls7e_ard_3-1-0_110072_2004-09-21_final
2005-03-16 11:08:49	ga_ls7e_ard_3-1-0_110072_2005-03-16_final
2005-11-04 09:29:24	ga_ls7e_ard_3-1-0_093087_2005-11-03_final
2006-03-23 10:45:40	ga_ls7e_ard_3-1-0_106075_2006-03-23_final
2006-05-22 09:28:18	ga_ls7e_ard_3-1-0_094067_2006-05-21_final
2006-09-18 11:18:48	ga_ls7e_ard_3-1-0_111082_2006-09-18_final
2007-02-22 10:46:03	ga_ls7e_ard_3-1-0_106075_2007-02-22_final
2007-02-25 11:19:45	ga_ls7e_ard_3-1-0_111082_2007-02-25_final
2007-05-29 10:45:50	ga_ls7e_ard_3-1-0_106075_2007-05-29_final
2007-06-30 10:45:50	ga_ls7e_ard_3-1-0_106075_2007-06-30_final
2007-07-03 11:19:31	ga_ls7e_ard_3-1-0_111082_2007-07-03_final
2007-10-14 11:26:01	ga_ls7e_ard_3-1-0_112084_2007-10-14_final
2007-11-23 10:31:24	ga_ls7e_ard_3-1-0_104070_2007-11-23_final
2008-05-20 11:07:41	ga_ls7e_ard_3-1-0_109084_2008-05-20_final
2008-08-31 09:27:16	ga_ls7e_ard_3-1-0_094067_2008-08-30_final
2009-06-03 10:46:01	ga_ls7e_ard_3-1-0_106075_2009-06-03_final
2009-07-17 11:09:25	ga_ls7e_ard_3-1-0_110072_2009-07-17_final
2009-11-04 11:26:43	ga_ls7e_ard_3-1-0_112084_2009-11-04_final
2009-11-20 11:22:56	ga_ls7e_ard_3-1-0_112074_2009-11-20_final
2010-08-21 11:11:21	ga_ls7e_ard_3-1-0_110072_2010-08-21_final
2011-08-01 09:33:29	ga_ls7e_ard_3-1-0_093087_2011-08-01_final
2012-01-03 10:49:36	ga_ls7e_ard_3-1-0_106075_2012-01-03_final
2012-01-27 10:02:08	ga_ls7e_ard_3-1-0_098080_2012-01-27_final
2012-11-18 10:51:33	ga_ls7e_ard_3-1-0_106075_2012-11-18_final
2014-05-12 09:35:31	ga_ls7e_ard_3-1-0_094067_2014-05-12_final
2014-07-19 10:53:07	ga_ls7e_ard_3-1-0_106075_2014-07-19_final
2014-08-16 09:35:53	ga_ls7e_ard_3-1-0_094067_2014-08-16_final
2014-11-17 09:11:09	ga_ls7e_ard_3-1-0_089081_2014-11-16_final
2014-12-10 10:53:59	ga_ls7e_ard_3-1-0_106075_2014-12-10_final
2015-02-28 09:19:33	ga_ls7e_ard_3-1-0_090085_2015-02-27_final
2016-04-13 11:38:30	ga_ls7e_ard_3-1-0_112084_2016-04-13_final
2016-12-11 09:40:42	ga_ls7e_ard_3-1-0_094067_2016-12-11_final
2016-12-17 10:43:39	ga_ls7e_ard_3-1-0_104070_2016-12-17_final
2017-01-26 11:38:17	ga_ls7e_ard_3-1-0_112084_2017-01-26_final
2017-05-04 09:40:41	ga_ls7e_ard_3-1-0_094067_2017-05-04_final
2017-06-09 10:58:10	ga_ls7e_ard_3-1-0_106075_2017-06-09_final
2017-09-23 11:34:51	ga_ls7e_ard_3-1-0_112074_2017-09-23_final
2017-10-01 10:43:49	ga_ls7e_ard_3-1-0_104070_2017-10-01_final
2017-12-11 09:15:19	ga_ls7e_ard_3-1-0_089081_2017-12-10_final
2018-01-03 09:21:38	ga_ls7e_ard_3-1-0_090082_2018-01-02_final
2018-06-08 09:38:04	ga_ls7e_ard_3-1-0_094067_2018-06-08_final
2019-02-03 09:32:25	ga_ls7e_ard_3-1-0_094067_2019-02-03_final
2019-02-16 09:07:07	ga_ls7e_ard_3-1-0_089082_2019-02-15_final
2019-02-19 11:12:01	ga_ls7e_ard_3-1-0_110070_2019-02-19_final
2019-02-19 11:14:25	ga_ls7e_ard_3-1-0_110076_2019-02-19_final
2019-02-23 09:15:29	ga_ls7e_ard_3-1-0_090088_2019-02-22_final
2019-02-23 10:51:10	ga_ls7e_ard_3-1-0_106080_2019-02-23_final
2019-03-07 11:13:31	ga_ls7e_ard_3-1-0_110075_2019-03-07_final
2019-03-10 10:04:14	ga_ls7e_ard_3-1-0_099072_2019-03-10_final
2019-03-24 10:15:44	ga_ls7e_ard_3-1-0_101071_2019-03-24_final
2019-04-20 09:59:50	ga_ls7e_ard_3-1-0_098080_2019-04-20_final
2019-06-11 11:08:52	ga_ls7e_ard_3-1-0_110072_2019-06-11_final
2019-06-27 09:29:48	ga_ls7e_ard_3-1-0_094073_2019-06-26_final
2019-08-26 09:50:06	ga_ls7e_ard_3-1-0_098068_2019-08-26_final
2019-09-12 08:57:44	ga_ls7e_ard_3-1-0_089078_2019-09-11_final
2019-09-28 08:58:14	ga_ls7e_ard_3-1-0_089081_2019-09-27_final
2019-10-04 09:55:48	ga_ls7e_ard_3-1-0_099071_2019-10-04_final
2019-10-10 11:02:32	ga_ls7e_ard_3-1-0_109084_2019-10-10_final
2019-10-28 10:43:49	ga_ls7e_ard_3-1-0_107070_2019-10-28_final
2019-11-07 09:43:10	ga_ls7e_ard_3-1-0_097074_2019-11-07_final
2019-11-19 10:10:55	ga_ls7e_ard_3-1-0_101083_2019-11-19_final
2019-12-01 08:56:59	ga_ls7e_ard_3-1-0_089085_2019-11-30_final
2019-12-08 10:36:31	ga_ls7e_ard_3-1-0_106072_2019-12-08_final
2019-12-17 08:54:35	ga_ls7e_ard_3-1-0_089081_2019-12-16_final
2019-12-23 11:32:10	ga_ls7e_ard_3-1-0_115074_2019-12-23_final
2019-12-24 10:36:06	ga_ls7e_ard_3-1-0_106073_2019-12-24_final
2019-12-24 10:36:30	ga_ls7e_ard_3-1-0_106074_2019-12-24_final
2019-12-29 09:20:17	ga_ls7e_ard_3-1-0_093085_2019-12-28_final
2020-01-01 09:51:02	ga_ls7e_ard_3-1-0_098085_2020-01-01_final
2020-01-03 11:17:03	ga_ls7e_ard_3-1-0_112084_2020-01-03_final
2020-01-06 10:04:55	ga_ls7e_ard_3-1-0_101074_2020-01-06_final
2020-01-14 10:53:10	ga_ls7e_ard_3-1-0_109072_2020-01-14_final
2020-01-21 11:00:36	ga_ls7e_ard_3-1-0_110076_2020-01-21_final
2020-01-26 09:41:12	ga_ls7e_ard_3-1-0_097079_2020-01-26_final
2020-02-09 11:30:32	ga_ls7e_ard_3-1-0_115076_2020-02-09_final
2020-02-11 11:20:04	ga_ls7e_ard_3-1-0_113081_2020-02-11_final
2020-02-15 10:56:20	ga_ls7e_ard_3-1-0_109084_2020-02-15_final
2020-02-17 10:38:17	ga_ls7e_ard_3-1-0_107070_2020-02-17_final
2020-02-17 10:43:53	ga_ls7e_ard_3-1-0_107084_2020-02-17_final
2020-02-22 10:57:22	ga_ls7e_ard_3-1-0_110072_2020-02-22_final
2020-02-22 10:58:10	ga_ls7e_ard_3-1-0_110074_2020-02-22_final
2020-03-03 09:56:14	ga_ls7e_ard_3-1-0_100075_2020-03-03_final
2020-03-10 10:02:26	ga_ls7e_ard_3-1-0_101076_2020-03-10_final
2020-03-22 08:48:24	ga_ls7e_ard_3-1-0_089078_2020-03-21_final
2020-03-24 10:12:25	ga_ls7e_ard_3-1-0_103072_2020-03-24_final
2020-03-29 08:58:11	ga_ls7e_ard_3-1-0_090088_2020-03-28_final
2020-04-01 11:02:12	ga_ls7e_ard_3-1-0_111074_2020-04-01_final
2020-04-15 11:13:46	ga_ls7e_ard_3-1-0_113074_2020-04-15_final
2022-03-27 10:24:04	ga_ls7e_ard_3-2-1_114075_2022-03-27_final
2022-03-28 09:28:21	ga_ls7e_ard_3-2-1_105075_2022-03-27_final
2022-04-04 09:31:27	ga_ls7e_ard_3-2-1_106069_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