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
1999-10-17 11:22:37	ga_ls7e_ard_3-0-0_111083_1999-10-17_final
2001-11-23 11:14:38	ga_ls7e_ard_3-0-0_111074_2001-11-23_final
2002-09-07 11:18:03	ga_ls7e_ard_3-0-0_111084_2002-09-07_final
2003-03-30 11:40:18	ga_ls7e_ard_3-0-0_115076_2003-03-30_final
2003-04-02 08:55:27	ga_ls7e_ard_3-0-0_088081_2003-04-01_final
2003-07-24 09:40:30	ga_ls7e_ard_3-0-0_095086_2003-07-24_final
2003-11-25 11:41:28	ga_ls7e_ard_3-0-0_115079_2003-11-25_final
2003-12-15 09:35:35	ga_ls7e_ard_3-1-0_095073_2003-12-15_final
2004-03-09 11:31:03	ga_ls7e_ard_3-0-0_114067_2004-03-09_final
2004-06-08 09:40:40	ga_ls7e_ard_3-0-0_095085_2004-06-08_final
2004-06-23 08:56:09	ga_ls7e_ard_3-0-0_088082_2004-06-22_final
2004-10-19 11:33:18	ga_ls7e_ard_3-0-0_114074_2004-10-19_final
2004-12-29 11:42:08	ga_ls7e_ard_3-0-0_115079_2004-12-29_final
2005-02-19 09:41:13	ga_ls7e_ard_3-0-0_095085_2005-02-19_final
2005-06-11 09:39:04	ga_ls7e_ard_3-0-0_095080_2005-06-11_final
2005-11-18 11:19:35	ga_ls7e_ard_3-0-0_111084_2005-11-18_final
2005-12-13 11:12:19	ga_ls7e_ard_3-0-0_110081_2005-12-13_final
2005-12-19 08:56:21	ga_ls7e_ard_3-0-0_088081_2005-12-18_final
2005-12-20 11:19:42	ga_ls7e_ard_3-0-0_111084_2005-12-20_final
2006-02-22 09:41:16	ga_ls7e_ard_3-0-0_095084_2006-02-22_final
2006-04-27 11:15:19	ga_ls7e_ard_3-0-0_111072_2006-04-27_final
2006-06-12 11:28:27	ga_ls7e_ard_3-0-0_113074_2006-06-12_final
2006-11-21 09:36:24	ga_ls7e_ard_3-0-0_095072_2006-11-21_final
2007-11-24 09:36:35	ga_ls7e_ard_3-0-0_095072_2007-11-24_final
2008-02-28 11:15:30	ga_ls7e_ard_3-0-0_111072_2008-02-28_final
2008-04-07 11:22:24	ga_ls7e_ard_3-0-0_112074_2008-04-07_final
2008-05-02 11:16:09	ga_ls7e_ard_3-0-0_111074_2008-05-02_final
2008-09-22 08:55:58	ga_ls7e_ard_3-0-0_088082_2008-09-21_final
2009-11-25 11:43:32	ga_ls7e_ard_3-0-0_115079_2009-11-25_final
2009-12-29 11:29:41	ga_ls7e_ard_3-0-0_113074_2009-12-29_final
2010-04-29 11:24:27	ga_ls7e_ard_3-0-0_112074_2010-04-29_final
2010-07-26 08:59:21	ga_ls7e_ard_3-0-0_088082_2010-07-25_final
2010-08-26 11:34:18	ga_ls7e_ard_3-0-0_113083_2010-08-26_final
2010-10-15 11:17:40	ga_ls7e_ard_3-0-0_111072_2010-10-15_final
2010-10-31 11:17:48	ga_ls7e_ard_3-0-0_111072_2010-10-31_final
2010-11-07 11:28:28	ga_ls7e_ard_3-1-0_112083_2010-11-07_final
2011-03-13 11:35:24	ga_ls7e_ard_3-0-0_114067_2011-03-13_final
2011-07-07 11:17:01	ga_ls7e_ard_3-0-0_110083_2011-07-07_final
2011-07-26 11:44:42	ga_ls7e_ard_3-0-0_115075_2011-07-26_final
2011-09-28 11:45:38	ga_ls7e_ard_3-0-0_115078_2011-09-28_final
2012-03-26 11:20:13	ga_ls7e_ard_3-0-0_111074_2012-03-26_final
2012-06-14 11:19:18	ga_ls7e_ard_3-0-0_111071_2012-06-14_final
2012-07-16 11:24:28	ga_ls7e_ard_3-0-0_111083_2012-07-16_final
2012-08-22 11:41:49	ga_ls7e_ard_3-0-0_114079_2012-08-22_final
2013-05-05 11:43:19	ga_ls7e_ard_3-0-0_114081_2013-05-05_final
2013-10-06 09:02:37	ga_ls7e_ard_3-0-0_088081_2013-10-05_final
2014-12-09 11:49:12	ga_ls7e_ard_3-0-0_115074_2014-12-09_final
2015-02-06 11:34:57	ga_ls7e_ard_3-0-0_112084_2015-02-06_final
2015-07-23 11:38:12	ga_ls7e_ard_3-0-0_113074_2015-07-23_final
2015-08-10 11:25:31	ga_ls7e_ard_3-0-0_111073_2015-08-10_final
2015-10-29 09:46:49	ga_ls7e_ard_3-0-0_095072_2015-10-29_final
2015-11-21 11:36:40	ga_ls7e_ard_3-0-0_112083_2015-11-21_final
2016-02-18 11:27:58	ga_ls7e_ard_3-0-0_111074_2016-02-18_final
2016-09-13 11:32:23	ga_ls7e_ard_3-0-0_111083_2016-09-13_final
2016-09-22 11:26:38	ga_ls7e_ard_3-0-0_110084_2016-09-22_final
2017-02-04 09:48:47	ga_ls7e_ard_3-1-0_095073_2017-02-04_final
2017-07-30 11:27:32	ga_ls7e_ard_3-0-0_111071_2017-07-30_final
2017-07-30 11:28:20	ga_ls7e_ard_3-0-0_111073_2017-07-30_final
2018-07-01 09:46:12	ga_ls7e_ard_3-1-0_095073_2018-07-01_final
2018-11-22 09:42:45	ga_ls7e_ard_3-0-0_095072_2018-11-22_final
2019-01-30 11:40:07	ga_ls7e_ard_3-0-0_114077_2019-01-30_final
2019-05-01 11:17:22	ga_ls7e_ard_3-0-0_111074_2019-05-01_final
2019-05-31 11:31:48	ga_ls7e_ard_3-0-0_113082_2019-05-31_final
2019-06-23 11:34:45	ga_ls7e_ard_3-0-0_114076_2019-06-23_final
2019-10-20 11:36:48	ga_ls7e_ard_3-1-0_115078_2019-10-20_final
2019-11-25 11:08:51	ga_ls7e_ard_3-1-0_111074_2019-11-25_final
2019-12-11 11:05:16	ga_ls7e_ard_3-1-0_111067_2019-12-11_final
2020-01-03 11:16:39	ga_ls7e_ard_3-1-0_112083_2020-01-03_final
2020-01-28 11:05:14	ga_ls7e_ard_3-1-0_111073_2020-01-28_final
2020-03-09 11:01:18	ga_ls7e_ard_3-1-0_110084_2020-03-09_final
2020-03-28 11:27:57	ga_ls7e_ard_3-1-0_115076_2020-03-28_final
2020-05-19 09:23:40	ga_ls7e_ard_3-1-0_095082_2020-05-18_final
2020-06-20 10:57:04	ga_ls7e_ard_3-1-0_111073_2020-06-20_final
2020-09-24 09:16:55	ga_ls7e_ard_3-1-0_095085_2020-09-23_final
2020-10-10 10:54:23	ga_ls7e_ard_3-1-0_111084_2020-10-10_final
2020-12-13 10:45:09	ga_ls7e_ard_3-1-0_111072_2020-12-13_final
2021-02-07 09:55:16	ga_ls7e_ard_3-2-0_103081_2021-02-07_final
2021-02-12 10:09:51	ga_ls7e_ard_3-2-0_106072_2021-02-12_final
2021-02-27 09:23:51	ga_ls7e_ard_3-2-0_099068_2021-02-26_final
2021-02-27 09:27:50	ga_ls7e_ard_3-2-0_099078_2021-02-26_final
2021-03-16 08:34:53	ga_ls7e_ard_3-2-0_090088_2021-03-15_final
2021-04-20 10:39:47	ga_ls7e_ard_3-2-0_111083_2021-04-20_final
2021-05-15 10:31:30	ga_ls7e_ard_3-2-0_110083_2021-05-15_final
2021-05-31 10:24:56	ga_ls7e_ard_3-2-0_110070_2021-05-31_final
2021-06-09 08:45:32	ga_ls7e_ard_3-2-0_093086_2021-06-08_final
2021-06-25 10:19:06	ga_ls7e_ard_3-2-0_109076_2021-06-25_final
2021-07-27 10:16:23	ga_ls7e_ard_3-2-0_109076_2021-07-27_final
2021-07-30 09:04:33	ga_ls7e_ard_3-2-0_098067_2021-07-29_final
2021-08-10 10:25:30	ga_ls7e_ard_3-2-0_111071_2021-08-10_final
2021-09-27 10:22:29	ga_ls7e_ard_3-2-0_111074_2021-09-27_final
2021-10-06 10:19:30	ga_ls7e_ard_3-2-0_110084_2021-10-06_final
2021-11-06 09:28:38	ga_ls7e_ard_3-2-0_103072_2021-11-05_final
2021-12-07 08:48:00	ga_ls7e_ard_3-2-1_096086_2021-12-06_final
2021-12-13 09:42:02	ga_ls7e_ard_3-2-1_106068_2021-12-13_final
2022-01-01 10:13:03	ga_ls7e_ard_3-2-1_111073_2022-01-01_final
2022-02-02 08:30:41	ga_ls7e_ard_3-2-1_095072_2022-02-01_final
2022-02-15 09:35:43	ga_ls7e_ard_3-2-1_106068_2022-02-15_final
2022-02-27 08:27:36	ga_ls7e_ard_3-2-1_094086_2022-02-26_final
2022-03-12 09:27:31	ga_ls7e_ard_3-2-1_105069_2022-03-11_final
2022-04-03 08:47:30	ga_ls7e_ard_3-2-1_099067_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