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
2000-01-30 11:11:54	ga_ls7e_ard_3-1-0_110072_2000-01-30_final
2000-09-07 09:06:51	ga_ls7e_ard_3-1-0_089089_2000-09-06_final
2001-09-13 11:07:39	ga_ls7e_ard_3-1-0_110072_2001-09-13_final
2001-12-31 09:01:30	ga_ls7e_ard_3-1-0_089081_2001-12-30_final
2003-10-25 09:10:39	ga_ls7e_ard_3-1-0_090089_2003-10-24_final
2003-11-26 09:07:22	ga_ls7e_ard_3-1-0_090080_2003-11-25_final
2004-04-30 11:08:16	ga_ls7e_ard_3-1-0_110072_2004-04-30_final
2004-12-19 09:29:16	ga_ls7e_ard_3-1-0_093087_2004-12-18_final
2005-04-17 11:08:39	ga_ls7e_ard_3-1-0_110072_2005-04-17_final
2005-10-26 09:29:54	ga_ls7e_ard_3-1-0_094073_2005-10-25_final
2005-12-22 09:30:04	ga_ls7e_ard_3-1-0_093088_2005-12-22_final
2006-02-24 11:06:36	ga_ls7e_ard_3-1-0_109081_2006-02-24_final
2006-11-27 09:06:09	ga_ls7e_ard_3-1-0_089089_2006-11-26_final
2007-01-07 10:31:27	ga_ls7e_ard_3-1-0_104070_2007-01-07_final
2007-02-02 11:09:27	ga_ls7e_ard_3-1-0_110072_2007-02-02_final
2007-06-10 11:09:22	ga_ls7e_ard_3-1-0_110072_2007-06-10_final
2007-07-05 09:28:40	ga_ls7e_ard_3-1-0_093083_2007-07-04_final
2007-07-12 11:09:19	ga_ls7e_ard_3-1-0_110072_2007-07-12_final
2007-07-25 09:03:04	ga_ls7e_ard_3-1-0_089081_2007-07-24_final
2008-03-01 09:25:02	ga_ls7e_ard_3-1-0_093074_2008-02-29_final
2008-04-29 09:11:58	ga_ls7e_ard_3-1-0_090088_2008-04-28_final
2008-05-04 09:30:05	ga_ls7e_ard_3-1-0_093087_2008-05-04_final
2008-08-31 09:30:04	ga_ls7e_ard_3-1-0_094074_2008-08-31_final
2008-11-03 11:08:05	ga_ls7e_ard_3-1-0_110072_2008-11-03_final
2009-01-15 09:30:08	ga_ls7e_ard_3-1-0_093088_2009-01-15_final
2009-03-21 10:12:17	ga_ls7e_ard_3-1-0_100084_2009-03-21_final
2010-03-14 11:11:14	ga_ls7e_ard_3-1-0_110072_2010-03-14_final
2011-01-09 09:06:10	ga_ls7e_ard_3-1-0_089081_2011-01-08_final
2011-03-30 09:09:42	ga_ls7e_ard_3-1-0_089089_2011-03-29_final
2011-09-18 09:33:18	ga_ls7e_ard_3-1-0_093087_2011-09-18_final
2012-03-09 10:35:18	ga_ls7e_ard_3-1-0_104070_2012-03-09_final
2012-10-27 11:28:06	ga_ls7e_ard_3-1-0_112074_2012-10-27_final
2013-02-22 09:16:51	ga_ls7e_ard_3-1-0_090085_2013-02-21_final
2013-03-20 11:32:21	ga_ls7e_ard_3-1-0_112084_2013-03-20_final
2013-07-28 11:14:23	ga_ls7e_ard_3-1-0_110072_2013-07-28_final
2013-10-16 11:15:07	ga_ls7e_ard_3-1-0_110072_2013-10-16_final
2013-12-16 09:12:26	ga_ls7e_ard_3-1-0_089089_2013-12-15_final
2014-09-17 11:16:47	ga_ls7e_ard_3-1-0_110072_2014-09-17_final
2015-01-23 09:36:48	ga_ls7e_ard_3-1-0_094067_2015-01-23_final
2015-09-04 11:18:58	ga_ls7e_ard_3-1-0_110072_2015-09-04_final
2016-05-10 09:42:25	ga_ls7e_ard_3-1-0_093087_2016-05-10_final
2016-09-06 11:21:48	ga_ls7e_ard_3-1-0_110072_2016-09-06_final
2016-10-12 09:23:27	ga_ls7e_ard_3-1-0_090085_2016-10-11_final
2017-03-15 11:38:26	ga_ls7e_ard_3-1-0_112084_2017-03-15_final
2017-10-04 09:42:38	ga_ls7e_ard_3-1-0_093087_2017-10-04_final
2018-10-30 09:35:06	ga_ls7e_ard_3-1-0_094067_2018-10-30_final
2019-01-31 09:07:11	ga_ls7e_ard_3-1-0_089081_2019-01-30_final
2019-02-18 10:28:00	ga_ls7e_ard_3-1-0_103068_2019-02-18_final
2019-02-25 10:35:57	ga_ls7e_ard_3-1-0_104073_2019-02-25_final
2019-03-12 11:31:30	ga_ls7e_ard_3-1-0_113074_2019-03-12_final
2019-03-18 10:54:13	ga_ls7e_ard_3-1-0_107074_2019-03-18_final
2019-03-23 11:13:23	ga_ls7e_ard_3-1-0_110076_2019-03-23_final
2019-08-28 11:22:56	ga_ls7e_ard_3-1-0_112084_2019-08-28_final
2019-09-10 10:47:28	ga_ls7e_ard_3-1-0_107074_2019-09-10_final
2019-09-29 11:17:32	ga_ls7e_ard_3-1-0_112074_2019-09-29_final
2019-10-01 09:25:49	ga_ls7e_ard_3-1-0_094073_2019-09-30_final
2019-10-01 11:04:42	ga_ls7e_ard_3-1-0_110073_2019-10-01_final
2019-10-20 09:54:20	ga_ls7e_ard_3-1-0_099069_2019-10-20_final
2019-10-28 10:46:13	ga_ls7e_ard_3-1-0_107076_2019-10-28_final
2019-10-31 11:19:46	ga_ls7e_ard_3-1-0_112083_2019-10-31_final
2019-11-02 11:02:56	ga_ls7e_ard_3-1-0_110072_2019-11-02_final
2019-11-05 09:58:01	ga_ls7e_ard_3-1-0_099080_2019-11-05_final
2019-11-12 10:00:41	ga_ls7e_ard_3-1-0_100072_2019-11-12_final
2019-11-22 09:04:48	ga_ls7e_ard_3-1-0_090088_2019-11-21_final
2019-11-29 10:43:56	ga_ls7e_ard_3-1-0_107074_2019-11-29_final
2019-12-01 08:56:35	ga_ls7e_ard_3-1-0_089084_2019-11-30_final
2019-12-04 09:20:33	ga_ls7e_ard_3-1-0_094067_2019-12-03_final
2019-12-07 09:55:18	ga_ls7e_ard_3-1-0_099077_2019-12-07_final
2019-12-08 09:04:49	ga_ls7e_ard_3-1-0_090090_2019-12-07_final
2019-12-10 10:22:27	ga_ls7e_ard_3-1-0_104068_2019-12-10_final
2019-12-17 08:56:35	ga_ls7e_ard_3-1-0_089086_2019-12-16_final
2019-12-20 11:01:02	ga_ls7e_ard_3-1-0_110073_2019-12-20_final
2019-12-23 09:55:17	ga_ls7e_ard_3-1-0_099079_2019-12-23_final
2019-12-26 10:26:50	ga_ls7e_ard_3-1-0_104081_2019-12-26_final
2019-12-29 10:54:23	ga_ls7e_ard_3-1-0_109073_2019-12-29_final
2019-12-31 10:43:07	ga_ls7e_ard_3-1-0_107076_2019-12-31_final
2020-01-09 08:57:59	ga_ls7e_ard_3-1-0_090077_2020-01-08_final
2020-01-10 11:22:28	ga_ls7e_ard_3-1-0_113083_2020-01-10_final
2020-01-27 10:22:25	ga_ls7e_ard_3-1-0_104074_2020-01-27_final
2020-02-09 09:54:27	ga_ls7e_ard_3-1-0_099083_2020-02-09_final
2020-02-15 09:13:28	ga_ls7e_ard_3-1-0_093074_2020-02-14_final
2020-02-19 08:53:20	ga_ls7e_ard_3-1-0_089086_2020-02-18_final
2020-02-20 11:14:37	ga_ls7e_ard_3-1-0_112084_2020-02-20_final
2020-02-22 10:55:22	ga_ls7e_ard_3-1-0_110067_2020-02-22_final
2020-03-12 09:47:58	ga_ls7e_ard_3-1-0_099071_2020-03-12_final
2020-03-31 10:16:37	ga_ls7e_ard_3-1-0_104068_2020-03-31_final
2020-04-10 09:21:01	ga_ls7e_ard_3-1-0_094085_2020-04-09_final
2020-04-10 10:53:55	ga_ls7e_ard_3-1-0_110070_2020-04-10_final
2020-04-10 10:54:19	ga_ls7e_ard_3-1-0_110071_2020-04-10_final
2020-04-13 09:44:34	ga_ls7e_ard_3-1-0_099067_2020-04-13_final
2020-04-26 10:54:11	ga_ls7e_ard_3-1-0_110073_2020-04-26_final
2020-04-29 09:50:00	ga_ls7e_ard_3-1-0_099083_2020-04-29_final
2022-03-13 10:12:40	ga_ls7e_ard_3-2-1_112074_2022-03-13_final
2022-03-15 09:58:30	ga_ls7e_ard_3-2-1_110070_2022-03-15_final
2022-03-23 09:08:41	ga_ls7e_ard_3-2-1_102071_2022-03-22_final
2022-03-26 09:38:55	ga_ls7e_ard_3-2-1_107070_2022-03-26_final
2022-03-28 09:25:58	ga_ls7e_ard_3-2-1_105069_2022-03-27_final
2022-03-31 09:58:58	ga_ls7e_ard_3-2-1_110075_2022-03-31_final
2022-04-03 08:47:30	ga_ls7e_ard_3-2-1_099067_2022-04-02_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