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
2001-06-25 09:27:36	ga_ls7e_ard_3-1-0_094067_2001-06-24_final
2003-09-25 10:29:49	ga_ls7e_ard_3-1-0_104071_2003-09-25_final
2003-10-14 11:04:39	ga_ls7e_ard_3-1-0_109081_2003-10-14_final
2004-03-27 11:25:32	ga_ls7e_ard_3-1-0_112084_2004-03-27_final
2004-04-14 11:08:17	ga_ls7e_ard_3-1-0_110072_2004-04-14_final
2004-05-13 09:02:06	ga_ls7e_ard_3-1-0_089081_2004-05-12_final
2004-07-24 09:49:16	ga_ls7e_ard_3-1-0_097076_2004-07-24_final
2004-08-08 09:09:30	ga_ls7e_ard_3-1-0_090085_2004-08-07_final
2004-08-20 11:07:54	ga_ls7e_ard_3-1-0_110072_2004-08-20_final
2005-10-14 09:09:47	ga_ls7e_ard_3-1-0_090085_2005-10-13_final
2006-02-15 11:13:57	ga_ls7e_ard_3-1-0_110084_2006-02-15_final
2006-03-07 09:10:47	ga_ls7e_ard_3-1-0_090085_2006-03-06_final
2006-03-19 11:09:12	ga_ls7e_ard_3-1-0_110072_2006-03-19_final
2006-07-25 11:08:48	ga_ls7e_ard_3-1-0_110072_2006-07-25_final
2006-08-19 09:29:41	ga_ls7e_ard_3-1-0_093087_2006-08-18_final
2006-11-27 09:06:09	ga_ls7e_ard_3-1-0_089089_2006-11-26_final
2007-06-16 10:31:29	ga_ls7e_ard_3-1-0_104070_2007-06-16_final
2007-09-23 09:30:13	ga_ls7e_ard_3-1-0_093088_2007-09-23_final
2007-12-09 10:31:30	ga_ls7e_ard_3-1-0_104070_2007-12-09_final
2008-02-25 09:10:55	ga_ls7e_ard_3-1-0_090085_2008-02-24_final
2008-03-08 11:09:16	ga_ls7e_ard_3-1-0_110072_2008-03-08_final
2008-04-25 11:09:12	ga_ls7e_ard_3-1-0_110072_2008-04-25_final
2009-04-12 09:28:33	ga_ls7e_ard_3-1-0_094067_2009-04-11_final
2010-03-02 09:12:44	ga_ls7e_ard_3-1-0_090085_2010-03-01_final
2010-04-11 09:55:10	ga_ls7e_ard_3-1-0_098067_2010-04-11_final
2010-05-31 11:28:23	ga_ls7e_ard_3-1-0_112084_2010-05-31_final
2010-11-13 09:13:23	ga_ls7e_ard_3-1-0_090085_2010-11-12_final
2010-12-12 10:17:41	ga_ls7e_ard_3-1-0_101075_2010-12-12_final
2011-01-25 09:06:16	ga_ls7e_ard_3-1-0_089081_2011-01-24_final
2011-02-01 09:14:05	ga_ls7e_ard_3-1-0_090085_2011-01-31_final
2011-08-01 09:29:54	ga_ls7e_ard_3-1-0_093078_2011-07-31_final
2011-08-24 09:31:37	ga_ls7e_ard_3-1-0_094067_2011-08-24_final
2011-09-25 11:12:21	ga_ls7e_ard_3-1-0_110072_2011-09-25_final
2011-12-30 09:32:13	ga_ls7e_ard_3-1-0_094067_2011-12-30_final
2012-01-16 10:18:42	ga_ls7e_ard_3-1-0_101075_2012-01-16_final
2012-01-19 09:14:42	ga_ls7e_ard_3-1-0_090085_2012-01-18_final
2013-03-06 11:15:15	ga_ls7e_ard_3-1-0_110072_2013-03-06_final
2013-07-16 09:16:04	ga_ls7e_ard_3-1-0_090085_2013-07-15_final
2013-07-21 09:35:23	ga_ls7e_ard_3-1-0_093087_2013-07-21_final
2014-04-10 11:16:06	ga_ls7e_ard_3-1-0_110072_2014-04-10_final
2014-12-23 10:23:13	ga_ls7e_ard_3-1-0_101075_2014-12-23_final
2015-06-16 11:18:43	ga_ls7e_ard_3-1-0_110072_2015-06-16_final
2015-10-22 09:38:33	ga_ls7e_ard_3-1-0_094067_2015-10-22_final
2015-10-22 11:19:26	ga_ls7e_ard_3-1-0_110072_2015-10-22_final
2016-03-30 11:21:16	ga_ls7e_ard_3-1-0_110072_2016-03-30_final
2016-10-01 11:19:16	ga_ls7e_ard_3-1-0_109081_2016-10-01_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
2017-08-24 11:21:43	ga_ls7e_ard_3-1-0_110072_2017-08-24_final
2017-11-21 09:42:35	ga_ls7e_ard_3-1-0_093087_2017-11-21_final
2017-12-11 09:15:19	ga_ls7e_ard_3-1-0_089081_2017-12-10_final
2018-05-12 10:00:37	ga_ls7e_ard_3-1-0_097076_2018-05-12_final
2018-08-11 11:17:45	ga_ls7e_ard_3-1-0_110072_2018-08-11_final
2018-08-27 11:17:26	ga_ls7e_ard_3-1-0_110072_2018-08-27_final
2018-11-15 11:15:37	ga_ls7e_ard_3-1-0_110072_2018-11-15_final
2019-01-31 09:07:11	ga_ls7e_ard_3-1-0_089081_2019-01-30_final
2019-02-22 10:07:32	ga_ls7e_ard_3-1-0_099079_2019-02-22_final
2019-03-04 09:06:13	ga_ls7e_ard_3-1-0_089081_2019-03-03_final
2019-03-07 11:11:31	ga_ls7e_ard_3-1-0_110070_2019-03-07_final
2019-03-11 10:46:40	ga_ls7e_ard_3-1-0_106070_2019-03-11_final
2019-03-23 11:13:23	ga_ls7e_ard_3-1-0_110076_2019-03-23_final
2019-03-26 10:06:54	ga_ls7e_ard_3-1-0_099080_2019-03-26_final
2019-08-30 09:32:00	ga_ls7e_ard_3-1-0_094085_2019-08-30_final
2019-09-02 09:56:23	ga_ls7e_ard_3-1-0_099069_2019-09-02_final
2019-09-19 10:39:17	ga_ls7e_ard_3-1-0_106070_2019-09-19_final
2019-10-10 09:24:27	ga_ls7e_ard_3-1-0_093086_2019-10-09_final
2019-10-15 11:20:52	ga_ls7e_ard_3-1-0_112084_2019-10-15_final
2019-10-20 09:58:19	ga_ls7e_ard_3-1-0_099079_2019-10-20_final
2019-10-20 09:59:55	ga_ls7e_ard_3-1-0_099083_2019-10-20_final
2019-11-05 09:59:36	ga_ls7e_ard_3-1-0_099084_2019-11-05_final
2019-11-11 10:56:45	ga_ls7e_ard_3-1-0_109073_2019-11-11_final
2019-11-12 10:02:17	ga_ls7e_ard_3-1-0_100076_2019-11-12_final
2019-11-14 09:48:14	ga_ls7e_ard_3-1-0_098072_2019-11-14_final
2019-11-18 09:27:19	ga_ls7e_ard_3-1-0_094082_2019-11-17_final
2019-11-18 11:02:36	ga_ls7e_ard_3-1-0_110073_2019-11-18_final
2019-11-23 09:40:50	ga_ls7e_ard_3-1-0_097070_2019-11-23_final
2019-11-29 10:43:32	ga_ls7e_ard_3-1-0_107073_2019-11-29_final
2019-12-01 08:56:35	ga_ls7e_ard_3-1-0_089084_2019-11-30_final
2019-12-02 11:18:41	ga_ls7e_ard_3-1-0_112084_2019-12-02_final
2019-12-05 10:06:10	ga_ls7e_ard_3-1-0_101073_2019-12-05_final
2019-12-08 08:59:38	ga_ls7e_ard_3-1-0_090077_2019-12-07_final
2019-12-09 09:40:03	ga_ls7e_ard_3-1-0_097070_2019-12-09_final
2019-12-19 10:16:13	ga_ls7e_ard_3-1-0_103069_2019-12-19_final
2019-12-24 08:58:49	ga_ls7e_ard_3-1-0_090077_2019-12-23_final
2019-12-24 08:59:13	ga_ls7e_ard_3-1-0_090078_2019-12-23_final
2020-01-20 10:14:59	ga_ls7e_ard_3-1-0_103070_2020-01-20_final
2020-01-20 10:16:59	ga_ls7e_ard_3-1-0_103075_2020-01-20_final
2020-01-21 09:18:08	ga_ls7e_ard_3-1-0_094067_2020-01-20_final
2020-01-31 09:59:06	ga_ls7e_ard_3-1-0_100078_2020-01-31_final
2020-02-07 10:02:32	ga_ls7e_ard_3-1-0_101072_2020-02-07_final
2020-02-17 10:43:53	ga_ls7e_ard_3-1-0_107084_2020-02-17_final
2020-02-20 11:10:38	ga_ls7e_ard_3-1-0_112074_2020-02-20_final
2020-02-26 10:31:38	ga_ls7e_ard_3-1-0_106070_2020-02-26_final
2020-03-06 08:50:53	ga_ls7e_ard_3-1-0_089082_2020-03-05_final
2020-03-20 10:38:10	ga_ls7e_ard_3-1-0_107074_2020-03-20_final
2020-03-25 10:57:13	ga_ls7e_ard_3-1-0_110076_2020-03-25_final
2020-04-23 08:48:10	ga_ls7e_ard_3-1-0_089082_2020-04-22_final
2020-04-30 08:52:20	ga_ls7e_ard_3-1-0_090078_2020-04-29_final
2022-04-03 08:49:30	ga_ls7e_ard_3-2-1_099072_2022-04-02_final
2022-04-03 08:52:41	ga_ls7e_ard_3-2-1_099080_2022-04-02_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