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
2003-11-19 09:01:32	ga_ls7e_ard_3-1-0_089081_2003-11-18_final
2004-01-02 09:28:56	ga_ls7e_ard_3-1-0_093087_2004-01-01_final
2004-01-05 09:57:03	ga_ls7e_ard_3-1-0_098080_2004-01-05_final
2004-02-11 10:16:59	ga_ls7e_ard_3-1-0_101083_2004-02-11_final
2004-03-17 09:09:57	ga_ls7e_ard_3-1-0_090085_2004-03-16_final
2004-07-22 10:00:03	ga_ls7e_ard_3-1-0_099072_2004-07-22_final
2004-10-27 09:09:29	ga_ls7e_ard_3-1-0_090085_2004-10-26_final
2004-11-17 09:28:58	ga_ls7e_ard_3-1-0_093087_2004-11-16_final
2005-07-19 09:02:20	ga_ls7e_ard_3-1-0_089081_2005-07-18_final
2005-08-07 09:30:00	ga_ls7e_ard_3-1-0_094073_2005-08-07_final
2006-06-16 09:28:26	ga_ls7e_ard_3-1-0_093083_2006-06-15_final
2006-09-07 09:57:43	ga_ls7e_ard_3-1-0_098080_2006-09-07_final
2007-01-17 11:09:19	ga_ls7e_ard_3-1-0_110072_2007-01-17_final
2007-07-21 09:30:12	ga_ls7e_ard_3-1-0_093087_2007-07-21_final
2008-04-06 09:03:03	ga_ls7e_ard_3-1-0_089081_2008-04-05_final
2008-09-16 11:08:00	ga_ls7e_ard_3-1-0_110072_2008-09-16_final
2009-09-15 09:58:18	ga_ls7e_ard_3-1-0_098080_2009-09-15_final
2009-10-19 11:26:28	ga_ls7e_ard_3-1-0_112084_2009-10-19_final
2010-06-06 09:12:50	ga_ls7e_ard_3-1-0_090085_2010-06-05_final
2010-07-02 11:28:27	ga_ls7e_ard_3-1-0_112084_2010-07-02_final
2010-12-27 11:15:49	ga_ls7e_ard_3-1-0_110081_2010-12-27_final
2012-02-13 09:07:02	ga_ls7e_ard_3-1-0_089081_2012-02-12_final
2013-02-28 10:17:02	ga_ls7e_ard_3-1-0_100081_2013-02-28_final
2013-04-16 09:36:01	ga_ls7e_ard_3-1-0_093087_2013-04-16_final
2013-07-24 10:03:27	ga_ls7e_ard_3-1-0_098080_2013-07-24_final
2014-02-22 10:20:11	ga_ls7e_ard_3-1-0_101072_2014-02-22_final
2014-03-13 10:52:25	ga_ls7e_ard_3-1-0_106075_2014-03-13_final
2014-04-22 10:05:18	ga_ls7e_ard_3-1-0_098080_2014-04-22_final
2015-02-12 09:19:21	ga_ls7e_ard_3-1-0_090085_2015-02-11_final
2015-05-03 10:54:54	ga_ls7e_ard_3-1-0_106075_2015-05-03_final
2015-07-06 10:55:16	ga_ls7e_ard_3-1-0_106075_2015-07-06_final
2015-10-15 09:40:14	ga_ls7e_ard_3-1-0_093087_2015-10-15_final
2015-12-25 11:20:25	ga_ls7e_ard_3-1-0_110072_2015-12-25_final
2016-05-22 10:02:48	ga_ls7e_ard_3-1-0_097076_2016-05-22_final
2016-07-16 10:10:42	ga_ls7e_ard_3-1-0_098080_2016-07-16_final
2017-01-18 10:43:20	ga_ls7e_ard_3-1-0_104070_2017-01-18_final
2017-03-06 10:02:29	ga_ls7e_ard_3-1-0_097076_2017-03-06_final
2017-11-29 10:27:11	ga_ls7e_ard_3-1-0_101075_2017-11-29_final
2018-09-16 09:18:36	ga_ls7e_ard_3-1-0_090085_2018-09-15_final
2019-02-19 11:16:49	ga_ls7e_ard_3-1-0_110082_2019-02-19_final
2019-02-24 09:54:19	ga_ls7e_ard_3-1-0_097077_2019-02-24_final
2019-02-28 11:07:09	ga_ls7e_ard_3-1-0_109074_2019-02-28_final
2019-03-03 10:00:41	ga_ls7e_ard_3-1-0_098078_2019-03-03_final
2019-03-16 09:31:45	ga_ls7e_ard_3-1-0_093084_2019-03-16_final
2019-03-19 11:38:39	ga_ls7e_ard_3-1-0_114077_2019-03-19_final
2019-03-29 10:33:19	ga_ls7e_ard_3-1-0_104069_2019-03-29_final
2019-07-17 10:43:59	ga_ls7e_ard_3-1-0_106075_2019-07-17_final
2019-08-23 10:59:01	ga_ls7e_ard_3-1-0_109070_2019-08-23_final
2019-08-24 10:07:20	ga_ls7e_ard_3-1-0_100080_2019-08-24_final
2019-08-30 11:08:05	ga_ls7e_ard_3-1-0_110078_2019-08-30_final
2019-09-08 10:58:19	ga_ls7e_ard_3-1-0_109070_2019-09-08_final
2019-09-11 09:53:48	ga_ls7e_ard_3-1-0_098079_2019-09-11_final
2019-09-20 11:26:54	ga_ls7e_ard_3-1-0_113081_2019-09-20_final
2019-09-24 10:59:12	ga_ls7e_ard_3-1-0_109074_2019-09-24_final
2019-10-05 10:38:13	ga_ls7e_ard_3-1-0_106069_2019-10-05_final
2019-10-10 11:00:09	ga_ls7e_ard_3-1-0_109078_2019-10-10_final
2019-10-23 10:24:42	ga_ls7e_ard_3-1-0_104068_2019-10-23_final
2019-10-23 10:26:42	ga_ls7e_ard_3-1-0_104073_2019-10-23_final
2019-10-28 10:46:13	ga_ls7e_ard_3-1-0_107076_2019-10-28_final
2019-10-30 08:56:53	ga_ls7e_ard_3-1-0_089081_2019-10-29_final
2019-10-30 08:57:41	ga_ls7e_ard_3-1-0_089083_2019-10-29_final
2019-11-05 09:54:49	ga_ls7e_ard_3-1-0_099072_2019-11-05_final
2019-11-11 11:01:08	ga_ls7e_ard_3-1-0_109084_2019-11-11_final
2019-11-14 09:46:38	ga_ls7e_ard_3-1-0_098068_2019-11-14_final
2019-11-28 10:03:55	ga_ls7e_ard_3-1-0_100082_2019-11-28_final
2019-12-01 08:56:35	ga_ls7e_ard_3-1-0_089084_2019-11-30_final
2019-12-02 11:15:05	ga_ls7e_ard_3-1-0_112075_2019-12-02_final
2019-12-03 10:19:01	ga_ls7e_ard_3-1-0_103074_2019-12-03_final
2019-12-08 09:00:26	ga_ls7e_ard_3-1-0_090079_2019-12-07_final
2019-12-10 10:26:51	ga_ls7e_ard_3-1-0_104079_2019-12-10_final
2019-12-16 09:49:28	ga_ls7e_ard_3-1-0_098079_2019-12-16_final
2019-12-20 09:27:44	ga_ls7e_ard_3-1-0_094087_2019-12-19_final
2019-12-21 10:05:21	ga_ls7e_ard_3-1-0_101073_2019-12-21_final
2019-12-24 09:01:13	ga_ls7e_ard_3-1-0_090083_2019-12-23_final
2020-01-05 11:04:11	ga_ls7e_ard_3-1-0_110083_2020-01-05_final
2020-01-10 11:21:16	ga_ls7e_ard_3-1-0_113080_2020-01-10_final
2020-01-19 11:13:51	ga_ls7e_ard_3-1-0_112078_2020-01-19_final
2020-01-26 11:19:17	ga_ls7e_ard_3-1-0_113077_2020-01-26_final
2020-01-30 10:53:58	ga_ls7e_ard_3-1-0_109076_2020-01-30_final
2020-02-06 11:02:11	ga_ls7e_ard_3-1-0_110082_2020-02-06_final
2020-02-19 08:52:56	ga_ls7e_ard_3-1-0_089085_2020-02-18_final
2020-02-22 10:59:46	ga_ls7e_ard_3-1-0_110078_2020-02-22_final
2020-02-28 10:23:33	ga_ls7e_ard_3-1-0_104081_2020-02-28_final
2020-03-05 09:42:10	ga_ls7e_ard_3-1-0_098071_2020-03-05_final
2020-03-13 10:35:33	ga_ls7e_ard_3-1-0_106082_2020-03-13_final
2020-03-14 09:35:54	ga_ls7e_ard_3-1-0_097072_2020-03-14_final
2020-03-14 09:38:17	ga_ls7e_ard_3-1-0_097078_2020-03-14_final
2020-03-19 09:54:33	ga_ls7e_ard_3-1-0_100073_2020-03-19_final
2020-03-30 09:37:48	ga_ls7e_ard_3-1-0_097079_2020-03-30_final
2020-04-14 10:28:58	ga_ls7e_ard_3-1-0_106070_2020-04-14_final
2020-04-14 10:32:09	ga_ls7e_ard_3-1-0_106078_2020-04-14_final
2020-04-15 09:38:04	ga_ls7e_ard_3-1-0_097082_2020-04-15_final
2020-04-20 09:51:56	ga_ls7e_ard_3-1-0_100071_2020-04-20_final
2022-03-13 10:15:27	ga_ls7e_ard_3-2-1_112081_2022-03-13_final
2022-03-15 10:03:41	ga_ls7e_ard_3-2-1_110083_2022-03-15_final
2022-03-22 08:26:43	ga_ls7e_ard_3-2-1_095074_2022-03-21_final
2022-03-22 10:04:48	ga_ls7e_ard_3-2-1_111072_2022-03-22_final
2022-03-25 08:57:44	ga_ls7e_ard_3-2-1_100075_2022-03-24_final
2022-03-29 08:30:39	ga_ls7e_ard_3-2-1_096070_2022-03-28_final
2022-04-03 10:29:58	ga_ls7e_ard_3-2-1_115076_2022-04-03_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