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
1999-12-10 09:05:50	ga_ls7e_ard_3-1-0_089081_1999-12-09_final
2000-09-07 09:06:51	ga_ls7e_ard_3-1-0_089089_2000-09-06_final
2000-09-26 09:28:40	ga_ls7e_ard_3-1-0_094067_2000-09-25_final
2001-12-31 09:01:30	ga_ls7e_ard_3-1-0_089081_2001-12-30_final
2002-07-18 09:09:01	ga_ls7e_ard_3-1-0_090085_2002-07-17_final
2003-01-19 09:04:35	ga_ls7e_ard_3-1-0_089089_2003-01-18_final
2004-02-03 11:05:37	ga_ls7e_ard_3-1-0_109081_2004-02-03_final
2004-02-24 11:25:21	ga_ls7e_ard_3-1-0_112084_2004-02-24_final
2004-04-30 09:27:23	ga_ls7e_ard_3-1-0_094067_2004-04-29_final
2004-09-08 10:04:36	ga_ls7e_ard_3-1-0_099084_2004-09-08_final
2005-02-09 09:02:28	ga_ls7e_ard_3-1-0_089081_2005-02-08_final
2005-04-10 09:30:02	ga_ls7e_ard_3-1-0_093088_2005-04-10_final
2005-06-04 09:30:09	ga_ls7e_ard_3-1-0_094073_2005-06-04_final
2005-06-04 11:08:38	ga_ls7e_ard_3-1-0_110072_2005-06-04_final
2005-10-07 09:01:54	ga_ls7e_ard_3-1-0_089081_2005-10-06_final
2005-11-08 09:02:20	ga_ls7e_ard_3-1-0_089081_2005-11-07_final
2005-12-22 11:06:09	ga_ls7e_ard_3-1-0_109081_2005-12-22_final
2007-02-06 09:11:04	ga_ls7e_ard_3-1-0_090085_2007-02-05_final
2007-07-09 09:03:08	ga_ls7e_ard_3-1-0_089081_2007-07-08_final
2007-10-30 11:26:13	ga_ls7e_ard_3-1-0_112084_2007-10-30_final
2008-02-15 10:12:22	ga_ls7e_ard_3-1-0_100084_2008-02-15_final
2008-03-01 09:25:26	ga_ls7e_ard_3-1-0_093075_2008-02-29_final
2008-03-22 11:26:24	ga_ls7e_ard_3-1-0_112084_2008-03-22_final
2009-03-21 10:12:17	ga_ls7e_ard_3-1-0_100084_2009-03-21_final
2009-09-19 11:09:15	ga_ls7e_ard_3-1-0_110072_2009-09-19_final
2010-03-07 09:30:31	ga_ls7e_ard_3-1-0_093083_2010-03-07_final
2010-06-27 09:32:13	ga_ls7e_ard_3-1-0_093087_2010-06-27_final
2011-01-10 11:29:31	ga_ls7e_ard_3-1-0_112084_2011-01-10_final
2011-04-08 10:34:51	ga_ls7e_ard_3-1-0_104070_2011-04-08_final
2011-09-02 09:33:23	ga_ls7e_ard_3-1-0_093087_2011-09-02_final
2012-02-13 09:10:14	ga_ls7e_ard_3-1-0_089089_2012-02-12_final
2012-04-29 09:34:26	ga_ls7e_ard_3-1-0_093087_2012-04-29_final
2012-07-25 09:33:07	ga_ls7e_ard_3-1-0_094067_2012-07-25_final
2012-10-27 11:28:06	ga_ls7e_ard_3-1-0_112074_2012-10-27_final
2014-07-12 09:13:38	ga_ls7e_ard_3-1-0_089089_2014-07-11_final
2014-07-15 11:16:37	ga_ls7e_ard_3-1-0_110072_2014-07-15_final
2014-12-03 09:11:18	ga_ls7e_ard_3-1-0_089081_2014-12-02_final
2014-12-19 09:11:26	ga_ls7e_ard_3-1-0_089081_2014-12-18_final
2015-03-16 09:19:39	ga_ls7e_ard_3-1-0_090085_2015-03-15_final
2016-01-14 09:22:18	ga_ls7e_ard_3-1-0_090085_2016-01-13_final
2016-12-04 09:42:32	ga_ls7e_ard_3-1-0_093087_2016-12-04_final
2016-12-25 11:38:37	ga_ls7e_ard_3-1-0_112084_2016-12-25_final
2017-05-20 11:21:36	ga_ls7e_ard_3-1-0_110072_2017-05-20_final
2017-07-21 11:34:55	ga_ls7e_ard_3-1-0_112074_2017-07-21_final
2017-09-09 11:21:42	ga_ls7e_ard_3-1-0_110072_2017-09-09_final
2018-03-24 09:21:47	ga_ls7e_ard_3-1-0_090085_2018-03-23_final
2019-02-16 09:06:43	ga_ls7e_ard_3-1-0_089081_2019-02-15_final
2019-02-17 11:28:02	ga_ls7e_ard_3-1-0_112079_2019-02-17_final
2019-02-25 10:35:57	ga_ls7e_ard_3-1-0_104073_2019-02-25_final
2019-02-28 11:07:09	ga_ls7e_ard_3-1-0_109074_2019-02-28_final
2019-03-07 09:33:50	ga_ls7e_ard_3-1-0_094073_2019-03-07_final
2019-03-12 09:54:36	ga_ls7e_ard_3-1-0_097079_2019-03-12_final
2019-03-16 11:07:03	ga_ls7e_ard_3-1-0_109075_2019-03-16_final
2019-03-21 11:28:13	ga_ls7e_ard_3-1-0_112082_2019-03-21_final
2019-03-22 10:30:34	ga_ls7e_ard_3-1-0_103077_2019-03-22_final
2019-06-27 09:27:24	ga_ls7e_ard_3-1-0_094067_2019-06-26_final
2019-08-30 09:27:12	ga_ls7e_ard_3-1-0_094073_2019-08-29_final
2019-09-12 08:59:20	ga_ls7e_ard_3-1-0_089082_2019-09-11_final
2019-09-15 11:04:59	ga_ls7e_ard_3-1-0_110072_2019-09-15_final
2019-09-19 09:03:36	ga_ls7e_ard_3-1-0_090078_2019-09-18_final
2019-10-01 11:02:18	ga_ls7e_ard_3-1-0_110067_2019-10-01_final
2019-10-10 10:59:21	ga_ls7e_ard_3-1-0_109076_2019-10-10_final
2019-10-17 09:28:45	ga_ls7e_ard_3-1-0_094082_2019-10-16_final
2019-10-20 09:54:44	ga_ls7e_ard_3-1-0_099070_2019-10-20_final
2019-10-30 08:56:53	ga_ls7e_ard_3-1-0_089081_2019-10-29_final
2019-11-21 09:53:17	ga_ls7e_ard_3-1-0_099070_2019-11-21_final
2019-11-21 09:54:05	ga_ls7e_ard_3-1-0_099072_2019-11-21_final
2019-11-22 09:04:48	ga_ls7e_ard_3-1-0_090088_2019-11-21_final
2019-11-27 10:56:23	ga_ls7e_ard_3-1-0_109074_2019-11-27_final
2019-11-28 10:00:19	ga_ls7e_ard_3-1-0_100073_2019-11-28_final
2019-11-28 10:03:55	ga_ls7e_ard_3-1-0_100082_2019-11-28_final
2019-12-03 10:16:37	ga_ls7e_ard_3-1-0_103068_2019-12-03_final
2019-12-03 10:20:13	ga_ls7e_ard_3-1-0_103077_2019-12-03_final
2019-12-04 11:01:50	ga_ls7e_ard_3-1-0_110073_2019-12-04_final
2019-12-13 10:54:24	ga_ls7e_ard_3-1-0_109071_2019-12-13_final
2019-12-20 11:00:14	ga_ls7e_ard_3-1-0_110071_2019-12-20_final
2019-12-30 10:03:06	ga_ls7e_ard_3-1-0_100084_2019-12-30_final
2020-01-14 10:57:33	ga_ls7e_ard_3-1-0_109083_2020-01-14_final
2020-01-16 10:41:30	ga_ls7e_ard_3-1-0_107074_2020-01-16_final
2020-01-30 10:56:22	ga_ls7e_ard_3-1-0_109082_2020-01-30_final
2020-02-05 10:14:35	ga_ls7e_ard_3-1-0_103071_2020-02-05_final
2020-02-11 11:14:29	ga_ls7e_ard_3-1-0_113067_2020-02-11_final
2020-02-12 10:21:12	ga_ls7e_ard_3-1-0_104073_2020-02-12_final
2020-02-15 09:13:28	ga_ls7e_ard_3-1-0_093074_2020-02-14_final
2020-02-26 08:58:44	ga_ls7e_ard_3-1-0_090085_2020-02-25_final
2020-02-28 10:23:57	ga_ls7e_ard_3-1-0_104082_2020-02-28_final
2020-03-22 08:50:48	ga_ls7e_ard_3-1-0_089084_2020-03-21_final
2020-03-28 09:47:29	ga_ls7e_ard_3-1-0_099072_2020-03-28_final
2020-04-10 09:21:01	ga_ls7e_ard_3-1-0_094085_2020-04-09_final
2020-04-13 09:46:34	ga_ls7e_ard_3-1-0_099072_2020-04-13_final
2020-04-16 10:17:41	ga_ls7e_ard_3-1-0_104073_2020-04-16_final
2020-04-21 10:39:55	ga_ls7e_ard_3-1-0_107083_2020-04-21_final
2020-04-23 08:48:10	ga_ls7e_ard_3-1-0_089082_2020-04-22_final
2020-04-26 10:58:34	ga_ls7e_ard_3-1-0_110084_2020-04-26_final
2020-04-30 08:51:56	ga_ls7e_ard_3-1-0_090077_2020-04-29_final
2022-03-17 09:45:56	ga_ls7e_ard_3-2-1_108070_2022-03-17_final
2022-03-19 08:02:05	ga_ls7e_ard_3-2-1_090089_2022-03-18_final
2022-03-20 10:18:09	ga_ls7e_ard_3-2-1_113074_2022-03-20_final
2022-03-23 09:08:41	ga_ls7e_ard_3-2-1_102071_2022-03-22_final
2022-03-26 08:05:13	ga_ls7e_ard_3-2-1_091083_2022-03-25_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