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
2001-10-18 11:41:05	ga_ls7e_ard_3-0-0_115079_2001-10-18_final
2002-02-02 11:21:06	ga_ls7e_ard_3-0-0_112074_2002-02-02_final
2002-05-07 11:35:52	ga_ls7e_ard_3-0-0_114080_2002-05-07_final
2002-07-03 11:26:53	ga_ls7e_ard_3-0-0_113074_2002-07-03_final
2002-10-21 11:40:11	ga_ls7e_ard_3-0-0_115078_2002-10-21_final
2003-03-30 11:41:06	ga_ls7e_ard_3-0-0_115078_2003-03-30_final
2003-08-30 11:33:47	ga_ls7e_ard_3-0-0_114076_2003-08-30_final
2003-11-27 11:29:07	ga_ls7e_ard_3-0-0_113079_2003-11-27_final
2004-01-12 11:40:55	ga_ls7e_ard_3-1-0_115077_2004-01-12_final
2006-01-01 11:42:09	ga_ls7e_ard_3-0-0_115078_2006-01-01_final
2006-12-14 11:26:25	ga_ls7e_ard_3-1-0_112084_2006-12-14_final
2007-09-01 11:42:19	ga_ls7e_ard_3-0-0_115078_2007-09-01_final
2007-12-06 11:43:04	ga_ls7e_ard_3-0-0_115079_2007-12-06_final
2008-03-22 11:22:25	ga_ls7e_ard_3-0-0_112074_2008-03-22_final
2008-12-03 11:25:14	ga_ls7e_ard_3-0-0_112083_2008-12-03_final
2009-03-16 11:25:49	ga_ls7e_ard_3-0-0_113067_2009-03-16_final
2009-03-25 11:26:29	ga_ls7e_ard_3-0-0_112084_2009-03-25_final
2009-03-30 11:41:52	ga_ls7e_ard_3-0-0_115076_2009-03-30_final
2009-05-19 11:32:53	ga_ls7e_ard_3-0-0_113084_2009-05-19_final
2009-10-26 11:28:46	ga_ls7e_ard_3-0-0_113074_2009-10-26_final
2010-10-20 11:38:15	ga_ls7e_ard_3-0-0_114077_2010-10-20_final
2010-12-07 11:37:59	ga_ls7e_ard_3-0-0_114075_2010-12-07_final
2010-12-30 11:45:33	ga_ls7e_ard_3-0-0_115078_2010-12-30_final
2011-02-11 11:22:54	ga_ls7e_ard_3-0-0_112067_2011-02-11_final
2011-08-13 11:35:27	ga_ls7e_ard_3-0-0_113083_2011-08-13_final
2012-04-25 11:29:57	ga_ls7e_ard_3-0-0_113067_2012-04-25_final
2013-12-06 11:47:57	ga_ls7e_ard_3-0-0_115076_2013-12-06_final
2014-02-08 11:48:29	ga_ls7e_ard_3-0-0_115076_2014-02-08_final
2014-06-09 11:42:50	ga_ls7e_ard_3-0-0_114076_2014-06-09_final
2015-01-21 11:30:49	ga_ls7e_ard_3-0-0_112074_2015-01-21_final
2016-01-08 11:31:00	ga_ls7e_ard_3-0-0_112067_2016-01-08_final
2016-01-13 11:52:48	ga_ls7e_ard_3-0-0_115075_2016-01-13_final
2016-04-04 11:43:48	ga_ls7e_ard_3-0-0_113082_2016-04-04_final
2016-12-30 11:54:44	ga_ls7e_ard_3-0-0_115078_2016-12-30_final
2017-01-15 11:54:33	ga_ls7e_ard_3-0-0_115078_2017-01-15_final
2017-04-21 11:54:23	ga_ls7e_ard_3-1-0_115077_2017-04-21_final
2018-02-14 11:31:00	ga_ls7e_ard_3-0-0_112067_2018-02-14_final
2018-03-02 11:33:38	ga_ls7e_ard_3-1-0_112074_2018-03-02_final
2018-03-25 11:41:55	ga_ls7e_ard_3-0-0_113080_2018-03-25_final
2019-10-29 11:30:38	ga_ls7e_ard_3-1-0_114079_2019-10-29_final
2020-05-01 11:10:01	ga_ls7e_ard_3-1-0_113067_2020-05-01_final
2020-05-17 11:11:50	ga_ls7e_ard_3-1-0_113074_2020-05-17_final
2020-11-02 10:55:03	ga_ls7e_ard_3-1-0_112074_2020-11-02_final
2020-11-25 09:20:22	ga_ls7e_ard_3-1-0_097073_2020-11-24_final
2020-12-09 09:30:30	ga_ls7e_ard_3-1-0_099070_2020-12-09_final
2020-12-14 09:48:15	ga_ls7e_ard_3-1-0_102069_2020-12-14_final
2020-12-21 09:53:30	ga_ls7e_ard_3-1-0_103068_2020-12-21_final
2020-12-30 09:48:17	ga_ls7e_ard_3-1-0_102072_2020-12-30_final
2020-12-31 10:33:05	ga_ls7e_ard_3-1-0_109076_2020-12-31_final
2021-01-07 10:35:11	ga_ls7e_ard_3-1-0_110067_2021-01-07_final
2021-01-12 09:16:05	ga_ls7e_ard_3-1-0_097071_2021-01-11_final
2021-01-20 10:03:46	ga_ls7e_ard_3-2-0_105068_2021-01-20_final
2021-01-27 08:34:33	ga_ls7e_ard_3-2-0_090078_2021-01-26_final
2021-02-06 09:13:17	ga_ls7e_ard_3-2-0_096084_2021-02-05_final
2021-02-24 10:32:51	ga_ls7e_ard_3-2-0_110070_2021-02-24_final
2021-02-25 09:40:21	ga_ls7e_ard_3-2-0_101078_2021-02-25_final
2021-02-25 09:41:57	ga_ls7e_ard_3-2-0_101082_2021-02-25_final
2021-03-13 09:40:42	ga_ls7e_ard_3-2-0_101082_2021-03-13_final
2021-03-13 09:41:06	ga_ls7e_ard_3-2-0_101083_2021-03-13_final
2021-03-27 09:51:32	ga_ls7e_ard_3-2-0_103081_2021-03-27_final
2021-04-04 10:37:08	ga_ls7e_ard_3-2-0_111073_2021-04-04_final
2021-04-17 10:06:20	ga_ls7e_ard_3-2-0_106076_2021-04-17_final
2021-05-02 10:59:54	ga_ls7e_ard_3-2-0_115074_2021-05-02_final
2021-05-03 08:26:31	ga_ls7e_ard_3-2-0_090077_2021-05-02_final
2021-05-12 09:56:28	ga_ls7e_ard_3-2-0_105072_2021-05-12_final
2021-05-12 09:57:16	ga_ls7e_ard_3-2-0_105074_2021-05-12_final
2021-05-13 09:05:33	ga_ls7e_ard_3-2-0_096084_2021-05-12_final
2021-05-15 10:31:06	ga_ls7e_ard_3-2-0_110082_2021-05-15_final
2021-05-28 09:53:30	ga_ls7e_ard_3-2-0_105068_2021-05-28_final
2021-06-02 08:40:43	ga_ls7e_ard_3-2-0_092088_2021-06-01_final
2021-06-29 08:18:46	ga_ls7e_ard_3-2-0_089085_2021-06-28_final
2021-07-06 09:56:27	ga_ls7e_ard_3-2-0_106068_2021-07-06_final
2021-07-12 09:24:27	ga_ls7e_ard_3-2-0_100082_2021-07-11_final
2021-07-17 09:38:34	ga_ls7e_ard_3-2-0_103072_2021-07-17_final
2021-07-22 08:24:35	ga_ls7e_ard_3-2-0_090089_2021-07-21_final
2021-08-19 10:20:07	ga_ls7e_ard_3-2-0_110075_2021-08-19_final
2021-09-15 08:25:57	ga_ls7e_ard_3-2-0_091089_2021-09-14_final
2021-09-23 09:07:29	ga_ls7e_ard_3-2-0_099071_2021-09-22_final
2021-10-10 08:17:57	ga_ls7e_ard_3-2-0_090090_2021-10-09_final
2021-11-04 09:39:35	ga_ls7e_ard_3-2-0_105068_2021-11-04_final
2021-11-04 09:44:46	ga_ls7e_ard_3-2-0_105081_2021-11-04_final
2021-11-10 09:03:08	ga_ls7e_ard_3-2-0_099071_2021-11-09_final
2021-11-10 09:07:55	ga_ls7e_ard_3-2-0_099083_2021-11-09_final
2021-11-10 09:08:19	ga_ls7e_ard_3-2-0_099084_2021-11-09_final
2021-11-16 08:27:04	ga_ls7e_ard_3-2-1_093075_2021-11-15_final
2021-11-17 09:13:49	ga_ls7e_ard_3-2-1_100084_2021-11-16_final
2021-12-02 10:04:49	ga_ls7e_ard_3-2-1_109076_2021-12-02_final
2021-12-03 09:11:06	ga_ls7e_ard_3-2-1_100081_2021-12-02_final
2021-12-03 09:11:29	ga_ls7e_ard_3-2-1_100082_2021-12-02_final
2021-12-28 09:03:41	ga_ls7e_ard_3-2-1_099084_2021-12-27_final
2022-01-14 09:39:19	ga_ls7e_ard_3-2-1_106069_2022-01-14_final
2022-01-28 09:50:43	ga_ls7e_ard_3-2-1_108070_2022-01-28_final
2022-02-03 09:12:15	ga_ls7e_ard_3-2-1_102068_2022-02-02_final
2022-02-10 09:18:06	ga_ls7e_ard_3-2-1_103069_2022-02-09_final
2022-02-15 09:38:54	ga_ls7e_ard_3-2-1_106076_2022-02-15_final
2022-03-02 08:52:37	ga_ls7e_ard_3-2-1_099072_2022-03-01_final
2022-03-09 09:02:06	ga_ls7e_ard_3-2-1_100082_2022-03-08_final
2022-03-21 09:20:02	ga_ls7e_ard_3-2-1_104068_2022-03-20_final
2022-03-24 09:57:03	ga_ls7e_ard_3-2-1_109084_2022-03-24_final
2022-03-29 10:14:19	ga_ls7e_ard_3-2-1_112082_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years