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
1999-07-17 09:20:04	ga_ls7e_ard_3-1-0_091086_1999-07-16_final
1999-09-06 09:51:06	ga_ls7e_ard_3-1-0_096086_1999-09-06_final
2000-05-08 11:44:10	ga_ls7e_ard_3-1-0_115077_2000-05-08_final
2000-06-17 09:19:07	ga_ls7e_ard_3-1-0_091086_2000-06-16_final
2001-01-16 09:28:42	ga_ls7e_ard_3-1-0_094067_2001-01-15_final
2001-09-20 09:35:15	ga_ls7e_ard_3-1-0_095073_2001-09-20_final
2001-09-24 09:15:44	ga_ls7e_ard_3-1-0_091086_2001-09-23_final
2003-12-12 09:08:15	ga_ls7e_ard_3-1-0_090082_2003-12-11_final
2004-02-08 09:47:17	ga_ls7e_ard_3-1-0_096086_2004-02-08_final
2004-03-27 09:47:27	ga_ls7e_ard_3-1-0_096086_2004-03-27_final
2004-09-21 11:07:43	ga_ls7e_ard_3-1-0_110072_2004-09-21_final
2005-09-05 09:05:16	ga_ls7e_ard_3-1-0_089089_2005-09-04_final
2006-01-02 10:45:20	ga_ls7e_ard_3-1-0_106075_2006-01-02_final
2006-11-01 10:04:28	ga_ls7e_ard_3-1-0_099081_2006-11-01_final
2006-12-28 09:58:21	ga_ls7e_ard_3-1-0_098080_2006-12-28_final
2007-04-27 10:46:03	ga_ls7e_ard_3-1-0_106075_2007-04-27_final
2007-09-02 10:45:29	ga_ls7e_ard_3-1-0_106075_2007-09-02_final
2007-09-07 09:29:54	ga_ls7e_ard_3-1-0_093087_2007-09-06_final
2008-04-07 09:48:19	ga_ls7e_ard_3-1-0_096086_2008-04-07_final
2009-04-12 09:28:33	ga_ls7e_ard_3-1-0_094067_2009-04-11_final
2009-05-18 10:46:01	ga_ls7e_ard_3-1-0_106075_2009-05-18_final
2009-06-06 11:19:43	ga_ls7e_ard_3-1-0_111082_2009-06-06_final
2009-07-03 10:58:19	ga_ls7e_ard_3-1-0_108075_2009-07-03_final
2011-03-17 11:12:40	ga_ls7e_ard_3-1-0_110072_2011-03-17_final
2011-07-27 10:49:04	ga_ls7e_ard_3-1-0_106075_2011-07-27_final
2011-08-15 09:40:12	ga_ls7e_ard_3-1-0_095073_2011-08-15_final
2012-01-29 09:52:12	ga_ls7e_ard_3-1-0_096086_2012-01-29_final
2012-03-03 09:32:20	ga_ls7e_ard_3-1-0_094067_2012-03-03_final
2012-04-20 09:32:22	ga_ls7e_ard_3-1-0_094067_2012-04-20_final
2012-08-12 11:03:03	ga_ls7e_ard_3-1-0_108075_2012-08-12_final
2012-09-27 11:14:40	ga_ls7e_ard_3-1-0_110072_2012-09-27_final
2012-09-29 11:03:32	ga_ls7e_ard_3-1-0_108075_2012-09-29_final
2012-10-26 10:42:50	ga_ls7e_ard_3-1-0_105069_2012-10-26_final
2013-05-20 09:23:08	ga_ls7e_ard_3-1-0_091086_2013-05-19_final
2013-06-21 09:22:54	ga_ls7e_ard_3-1-0_091086_2013-06-20_final
2014-01-17 09:12:43	ga_ls7e_ard_3-1-0_089089_2014-01-16_final
2014-01-26 10:38:01	ga_ls7e_ard_3-1-0_104070_2014-01-26_final
2014-03-25 09:35:09	ga_ls7e_ard_3-1-0_094067_2014-03-25_final
2014-04-24 11:33:27	ga_ls7e_ard_3-1-0_112084_2014-04-24_final
2015-10-15 09:40:14	ga_ls7e_ard_3-1-0_093087_2015-10-15_final
2015-11-07 11:19:40	ga_ls7e_ard_3-1-0_110072_2015-11-07_final
2015-11-30 09:47:42	ga_ls7e_ard_3-1-0_095073_2015-11-30_final
2015-12-04 11:01:08	ga_ls7e_ard_3-1-0_107071_2015-12-04_final
2016-02-13 11:09:49	ga_ls7e_ard_3-1-0_108075_2016-02-13_final
2016-12-04 09:42:32	ga_ls7e_ard_3-1-0_093087_2016-12-04_final
2017-01-03 09:49:05	ga_ls7e_ard_3-1-0_095073_2017-01-03_final
2017-03-09 10:32:12	ga_ls7e_ard_3-1-0_102073_2017-03-09_final
2017-06-21 11:21:44	ga_ls7e_ard_3-1-0_110072_2017-06-21_final
2017-11-25 09:15:27	ga_ls7e_ard_3-1-0_089081_2017-11-24_final
2018-03-07 11:53:18	ga_ls7e_ard_3-1-0_115077_2018-03-07_final
2019-01-29 09:21:36	ga_ls7e_ard_3-1-0_091086_2019-01-28_final
2019-03-12 11:28:42	ga_ls7e_ard_3-1-0_113067_2019-03-12_final
2019-03-14 11:19:28	ga_ls7e_ard_3-1-0_111075_2019-03-14_final
2019-03-16 09:33:21	ga_ls7e_ard_3-1-0_093088_2019-03-16_final
2019-09-17 10:52:56	ga_ls7e_ard_3-1-0_108073_2019-09-17_final
2019-09-18 10:00:04	ga_ls7e_ard_3-1-0_099080_2019-09-18_final
2019-09-20 09:47:37	ga_ls7e_ard_3-1-0_097080_2019-09-20_final
2019-09-20 11:27:42	ga_ls7e_ard_3-1-0_113083_2019-09-20_final
2019-10-03 10:51:04	ga_ls7e_ard_3-1-0_108070_2019-10-03_final
2019-10-15 11:20:52	ga_ls7e_ard_3-1-0_112084_2019-10-15_final
2019-10-26 10:58:40	ga_ls7e_ard_3-1-0_109076_2019-10-26_final
2019-10-29 11:31:26	ga_ls7e_ard_3-1-0_114081_2019-10-29_final
2019-10-30 10:30:58	ga_ls7e_ard_3-1-0_105069_2019-10-30_final
2019-11-09 11:08:24	ga_ls7e_ard_3-1-0_111071_2019-11-09_final
2019-11-13 09:10:12	ga_ls7e_ard_3-1-0_091085_2019-11-12_final
2019-11-14 09:52:37	ga_ls7e_ard_3-1-0_098083_2019-11-14_final
2019-11-21 11:35:21	ga_ls7e_ard_3-1-0_115078_2019-11-21_final
2019-12-20 11:01:02	ga_ls7e_ard_3-1-0_110073_2019-12-20_final
2019-12-24 10:36:06	ga_ls7e_ard_3-1-0_106073_2019-12-24_final
2019-12-27 11:06:27	ga_ls7e_ard_3-1-0_111072_2019-12-27_final
2020-01-05 09:24:54	ga_ls7e_ard_3-1-0_094082_2020-01-04_final
2020-01-26 11:18:05	ga_ls7e_ard_3-1-0_113074_2020-01-26_final
2020-02-04 11:15:03	ga_ls7e_ard_3-1-0_112083_2020-02-04_final
2020-02-19 08:50:32	ga_ls7e_ard_3-1-0_089079_2020-02-18_final
2020-03-16 11:05:30	ga_ls7e_ard_3-1-0_111080_2020-03-16_final
2020-04-02 10:05:20	ga_ls7e_ard_3-1-0_102071_2020-04-02_final
2020-04-13 11:27:50	ga_ls7e_ard_3-1-0_115078_2020-04-13_final
2020-04-17 11:04:29	ga_ls7e_ard_3-1-0_111082_2020-04-17_final
2021-03-24 09:20:29	ga_ls7e_ard_3-2-0_098080_2021-03-23_final
2021-03-27 09:46:21	ga_ls7e_ard_3-2-0_103068_2021-03-27_final
2021-03-27 09:47:57	ga_ls7e_ard_3-2-0_103072_2021-03-27_final
2021-05-22 10:31:06	ga_ls7e_ard_3-2-0_111068_2021-05-22_final
2021-07-13 08:29:57	ga_ls7e_ard_3-2-0_091085_2021-07-12_final
2021-07-18 08:48:03	ga_ls7e_ard_3-2-0_094085_2021-07-17_final
2021-07-22 09:55:29	ga_ls7e_ard_3-2-0_106069_2021-07-22_final
2021-07-29 08:28:58	ga_ls7e_ard_3-2-0_091086_2021-07-28_final
2021-08-17 08:52:11	ga_ls7e_ard_3-2-0_096071_2021-08-16_final
2021-08-19 08:46:02	ga_ls7e_ard_3-2-0_094087_2021-08-18_final
2021-08-21 10:07:12	ga_ls7e_ard_3-2-0_108074_2021-08-21_final
2021-09-10 09:43:56	ga_ls7e_ard_3-2-0_104082_2021-09-10_final
2021-09-14 09:15:40	ga_ls7e_ard_3-2-0_100074_2021-09-13_final
2021-09-16 09:07:31	ga_ls7e_ard_3-2-0_098085_2021-09-15_final
2021-09-26 09:36:55	ga_ls7e_ard_3-2-0_104068_2021-09-26_final
2021-10-02 08:58:54	ga_ls7e_ard_3-2-0_098067_2021-10-01_final
2021-10-17 09:56:00	ga_ls7e_ard_3-2-0_107074_2021-10-17_final
2021-10-17 09:59:35	ga_ls7e_ard_3-2-0_107083_2021-10-17_final
2021-11-04 09:39:59	ga_ls7e_ard_3-2-0_105069_2021-11-04_final
2021-11-23 10:10:14	ga_ls7e_ard_3-2-1_110072_2021-11-23_final
2021-11-28 10:32:42	ga_ls7e_ard_3-2-1_113083_2021-11-28_final
2022-03-24 09:51:27	ga_ls7e_ard_3-2-1_109070_2022-03-24_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