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
2001-03-25 10:45:46	ga_ls7e_ard_3-1-0_106075_2001-03-25_final
2001-06-29 10:44:55	ga_ls7e_ard_3-1-0_106075_2001-06-29_final
2003-04-19 11:18:01	ga_ls7e_ard_3-1-0_111082_2003-04-19_final
2003-09-26 09:34:59	ga_ls7e_ard_3-1-0_095073_2003-09-26_final
2003-11-18 09:52:46	ga_ls7e_ard_3-1-0_098070_2003-11-18_final
2003-12-25 10:13:33	ga_ls7e_ard_3-1-0_101075_2003-12-25_final
2004-04-14 09:27:24	ga_ls7e_ard_3-1-0_094067_2004-04-13_final
2004-07-03 11:12:54	ga_ls7e_ard_3-1-0_110084_2004-07-03_final
2004-07-26 11:18:10	ga_ls7e_ard_3-1-0_111082_2004-07-26_final
2004-09-09 09:09:22	ga_ls7e_ard_3-1-0_090085_2004-09-08_final
2005-01-15 10:45:47	ga_ls7e_ard_3-1-0_106077_2005-01-15_final
2005-01-20 11:05:55	ga_ls7e_ard_3-1-0_109081_2005-01-20_final
2005-03-16 11:10:00	ga_ls7e_ard_3-1-0_110075_2005-03-16_final
2005-05-10 11:18:54	ga_ls7e_ard_3-1-0_111082_2005-05-10_final
2005-06-11 09:36:17	ga_ls7e_ard_3-1-0_095073_2005-06-11_final
2006-07-25 11:08:48	ga_ls7e_ard_3-1-0_110072_2006-07-25_final
2006-09-15 10:45:07	ga_ls7e_ard_3-1-0_106075_2006-09-15_final
2006-11-01 10:04:28	ga_ls7e_ard_3-1-0_099081_2006-11-01_final
2006-11-30 11:09:11	ga_ls7e_ard_3-1-0_110072_2006-11-30_final
2007-01-07 10:31:27	ga_ls7e_ard_3-1-0_104070_2007-01-07_final
2007-01-31 11:26:11	ga_ls7e_ard_3-1-0_112083_2007-01-31_final
2007-06-03 11:06:46	ga_ls7e_ard_3-1-0_109081_2007-06-03_final
2007-06-14 09:10:57	ga_ls7e_ard_3-1-0_090085_2007-06-13_final
2007-06-23 09:03:10	ga_ls7e_ard_3-1-0_089081_2007-06-22_final
2007-06-30 09:10:56	ga_ls7e_ard_3-1-0_090085_2007-06-29_final
2007-07-12 11:09:19	ga_ls7e_ard_3-1-0_110072_2007-07-12_final
2007-08-29 11:09:03	ga_ls7e_ard_3-1-0_110072_2007-08-29_final
2007-09-18 10:45:23	ga_ls7e_ard_3-1-0_106075_2007-09-18_final
2007-11-14 09:03:01	ga_ls7e_ard_3-1-0_089081_2007-11-13_final
2008-03-24 11:09:15	ga_ls7e_ard_3-1-0_110072_2008-03-24_final
2008-05-27 11:10:13	ga_ls7e_ard_3-1-0_110075_2008-05-27_final
2008-06-28 11:08:43	ga_ls7e_ard_3-1-0_110072_2008-06-28_final
2008-08-31 11:08:09	ga_ls7e_ard_3-1-0_110072_2008-08-31_final
2009-11-10 10:45:20	ga_ls7e_ard_3-1-0_106073_2009-11-10_final
2010-06-02 11:11:14	ga_ls7e_ard_3-1-0_110072_2010-06-02_final
2011-03-17 11:12:40	ga_ls7e_ard_3-1-0_110072_2011-03-17_final
2012-02-04 09:14:46	ga_ls7e_ard_3-1-0_090085_2012-02-03_final
2012-05-20 11:30:56	ga_ls7e_ard_3-1-0_112084_2012-05-20_final
2012-07-22 09:07:46	ga_ls7e_ard_3-1-0_089081_2012-07-21_final
2012-11-02 10:51:25	ga_ls7e_ard_3-1-0_106075_2012-11-02_final
2013-02-18 11:15:18	ga_ls7e_ard_3-1-0_110072_2013-02-18_final
2013-02-22 10:51:45	ga_ls7e_ard_3-1-0_106075_2013-02-22_final
2013-11-01 11:15:10	ga_ls7e_ard_3-1-0_110072_2013-11-01_final
2013-11-26 09:36:17	ga_ls7e_ard_3-1-0_093087_2013-11-26_final
2014-02-09 09:17:33	ga_ls7e_ard_3-1-0_090085_2014-02-08_final
2014-03-29 10:52:32	ga_ls7e_ard_3-1-0_106075_2014-03-29_final
2014-07-15 11:16:37	ga_ls7e_ard_3-1-0_110072_2014-07-15_final
2014-09-01 11:16:44	ga_ls7e_ard_3-1-0_110072_2014-09-01_final
2014-12-26 09:19:13	ga_ls7e_ard_3-1-0_090085_2014-12-25_final
2015-02-12 09:19:21	ga_ls7e_ard_3-1-0_090085_2015-02-11_final
2015-08-19 11:18:57	ga_ls7e_ard_3-1-0_110072_2015-08-19_final
2015-12-06 09:13:55	ga_ls7e_ard_3-1-0_089081_2015-12-05_final
2016-05-30 09:15:24	ga_ls7e_ard_3-1-0_089081_2016-05-29_final
2017-08-01 09:42:40	ga_ls7e_ard_3-1-0_093087_2017-08-01_final
2017-09-09 11:21:42	ga_ls7e_ard_3-1-0_110072_2017-09-09_final
2017-11-21 09:42:35	ga_ls7e_ard_3-1-0_093087_2017-11-21_final
2017-12-04 10:43:42	ga_ls7e_ard_3-1-0_104070_2017-12-04_final
2018-01-08 09:42:06	ga_ls7e_ard_3-1-0_093087_2018-01-08_final
2019-02-23 09:15:29	ga_ls7e_ard_3-1-0_090088_2019-02-22_final
2019-03-19 11:39:50	ga_ls7e_ard_3-1-0_114080_2019-03-19_final
2019-03-23 11:16:11	ga_ls7e_ard_3-1-0_110083_2019-03-23_final
2019-08-11 09:00:18	ga_ls7e_ard_3-1-0_089081_2019-08-10_final
2019-09-08 10:59:55	ga_ls7e_ard_3-1-0_109074_2019-09-08_final
2019-09-15 11:04:11	ga_ls7e_ard_3-1-0_110070_2019-09-15_final
2019-10-01 11:05:30	ga_ls7e_ard_3-1-0_110075_2019-10-01_final
2019-10-05 09:02:32	ga_ls7e_ard_3-1-0_090077_2019-10-04_final
2019-10-05 10:39:49	ga_ls7e_ard_3-1-0_106073_2019-10-05_final
2019-10-13 11:29:43	ga_ls7e_ard_3-1-0_114075_2019-10-13_final
2019-10-20 09:53:56	ga_ls7e_ard_3-1-0_099068_2019-10-20_final
2019-10-28 10:44:13	ga_ls7e_ard_3-1-0_107071_2019-10-28_final
2019-10-29 09:53:21	ga_ls7e_ard_3-1-0_098083_2019-10-29_final
2019-10-29 11:31:02	ga_ls7e_ard_3-1-0_114080_2019-10-29_final
2019-11-06 10:39:38	ga_ls7e_ard_3-1-0_106076_2019-11-06_final
2019-11-16 11:12:40	ga_ls7e_ard_3-1-0_112067_2019-11-16_final
2019-11-25 11:09:15	ga_ls7e_ard_3-1-0_111075_2019-11-25_final
2019-11-27 10:55:12	ga_ls7e_ard_3-1-0_109071_2019-11-27_final
2019-12-02 11:18:41	ga_ls7e_ard_3-1-0_112084_2019-12-02_final
2019-12-08 09:00:02	ga_ls7e_ard_3-1-0_090078_2019-12-07_final
2019-12-11 11:05:40	ga_ls7e_ard_3-1-0_111068_2019-12-11_final
2019-12-16 11:26:21	ga_ls7e_ard_3-1-0_114074_2019-12-16_final
2019-12-23 09:56:05	ga_ls7e_ard_3-1-0_099081_2019-12-23_final
2019-12-24 10:36:06	ga_ls7e_ard_3-1-0_106073_2019-12-24_final
2019-12-29 10:55:35	ga_ls7e_ard_3-1-0_109076_2019-12-29_final
2020-01-03 11:16:15	ga_ls7e_ard_3-1-0_112082_2020-01-03_final
2020-01-06 10:04:07	ga_ls7e_ard_3-1-0_101072_2020-01-06_final
2020-01-08 11:31:20	ga_ls7e_ard_3-1-0_115074_2020-01-08_final
2020-01-21 11:03:23	ga_ls7e_ard_3-1-0_110083_2020-01-21_final
2020-02-06 10:59:00	ga_ls7e_ard_3-1-0_110074_2020-02-06_final
2020-02-15 10:54:21	ga_ls7e_ard_3-1-0_109079_2020-02-15_final
2020-02-17 10:42:17	ga_ls7e_ard_3-1-0_107080_2020-02-17_final
2020-02-22 10:57:46	ga_ls7e_ard_3-1-0_110073_2020-02-22_final
2020-03-09 10:57:18	ga_ls7e_ard_3-1-0_110074_2020-03-09_final
2020-03-16 11:01:54	ga_ls7e_ard_3-1-0_111071_2020-03-16_final
2020-03-21 09:42:05	ga_ls7e_ard_3-1-0_098073_2020-03-21_final
2020-04-01 11:06:12	ga_ls7e_ard_3-1-0_111084_2020-04-01_final
2020-04-07 08:50:42	ga_ls7e_ard_3-1-0_089086_2020-04-06_final
2020-04-25 10:08:59	ga_ls7e_ard_3-1-0_103068_2020-04-25_final
2022-03-17 08:09:27	ga_ls7e_ard_3-2-1_092076_2022-03-16_final
2022-03-18 10:31:29	ga_ls7e_ard_3-2-1_115076_2022-03-18_final
2022-03-30 09:17:00	ga_ls7e_ard_3-2-1_103078_2022-03-29_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