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
1999-09-20 10:01:02	ga_ls7e_ard_3-1-0_098080_1999-09-20_final
1999-10-14 10:48:35	ga_ls7e_ard_3-1-0_106075_1999-10-14_final
2001-06-12 11:41:37	ga_ls7e_ard_3-1-0_115077_2001-06-12_final
2001-08-31 11:40:42	ga_ls7e_ard_3-1-0_115077_2001-08-31_final
2001-12-27 11:05:11	ga_ls7e_ard_3-1-0_109081_2001-12-27_final
2002-03-12 10:44:30	ga_ls7e_ard_3-1-0_106075_2002-03-12_final
2003-03-14 11:40:44	ga_ls7e_ard_3-1-0_115077_2003-03-14_final
2003-05-23 09:28:42	ga_ls7e_ard_3-1-0_093087_2003-05-22_final
2003-11-12 10:29:45	ga_ls7e_ard_3-1-0_104070_2003-11-12_final
2004-04-01 11:41:16	ga_ls7e_ard_3-1-0_115077_2004-04-01_final
2004-12-17 09:36:01	ga_ls7e_ard_3-1-0_095073_2004-12-17_final
2005-08-03 09:57:32	ga_ls7e_ard_3-1-0_098080_2005-08-03_final
2005-09-08 11:08:14	ga_ls7e_ard_3-1-0_110072_2005-09-08_final
2005-11-07 09:57:33	ga_ls7e_ard_3-1-0_098080_2005-11-07_final
2005-11-09 11:25:41	ga_ls7e_ard_3-1-0_112084_2005-11-09_final
2006-05-13 09:36:52	ga_ls7e_ard_3-1-0_095073_2006-05-13_final
2006-09-27 09:35:16	ga_ls7e_ard_3-1-0_094086_2006-09-27_final
2007-02-09 09:37:12	ga_ls7e_ard_3-1-0_095073_2007-02-09_final
2007-10-23 09:36:41	ga_ls7e_ard_3-1-0_095073_2007-10-23_final
2008-01-13 09:30:23	ga_ls7e_ard_3-1-0_093087_2008-01-13_final
2008-01-23 11:42:21	ga_ls7e_ard_3-1-0_115077_2008-01-23_final
2008-01-27 09:37:08	ga_ls7e_ard_3-1-0_095073_2008-01-27_final
2008-05-07 09:58:11	ga_ls7e_ard_3-1-0_098080_2008-05-07_final
2008-11-23 10:44:50	ga_ls7e_ard_3-1-0_106075_2008-11-23_final
2008-12-02 09:02:16	ga_ls7e_ard_3-1-0_089081_2008-12-01_final
2009-02-07 11:10:07	ga_ls7e_ard_3-1-0_110075_2009-02-07_final
2009-03-21 10:12:17	ga_ls7e_ard_3-1-0_100084_2009-03-21_final
2009-09-17 11:26:25	ga_ls7e_ard_3-1-0_112084_2009-09-17_final
2010-11-28 11:44:53	ga_ls7e_ard_3-1-0_115077_2010-11-28_final
2011-06-14 09:33:37	ga_ls7e_ard_3-1-0_093087_2011-06-14_final
2011-12-11 09:06:41	ga_ls7e_ard_3-1-0_089081_2011-12-10_final
2011-12-27 09:06:52	ga_ls7e_ard_3-1-0_089081_2011-12-26_final
2012-02-23 09:40:56	ga_ls7e_ard_3-1-0_095073_2012-02-23_final
2012-07-13 10:50:20	ga_ls7e_ard_3-1-0_106075_2012-07-13_final
2013-01-30 09:12:19	ga_ls7e_ard_3-1-0_089089_2013-01-29_final
2013-03-06 09:34:22	ga_ls7e_ard_3-1-0_094067_2013-03-06_final
2014-10-16 09:10:54	ga_ls7e_ard_3-1-0_089081_2014-10-15_final
2015-06-09 09:39:37	ga_ls7e_ard_3-1-0_093087_2015-06-09_final
2016-02-18 11:31:09	ga_ls7e_ard_3-1-0_111082_2016-02-18_final
2016-07-04 09:40:47	ga_ls7e_ard_3-1-0_094067_2016-07-04_final
2016-07-24 10:58:11	ga_ls7e_ard_3-1-0_106075_2016-07-24_final
2016-10-12 10:58:20	ga_ls7e_ard_3-1-0_106075_2016-10-12_final
2016-12-18 09:49:13	ga_ls7e_ard_3-1-0_095073_2016-12-18_final
2017-03-17 11:21:17	ga_ls7e_ard_3-1-0_110072_2017-03-17_final
2017-04-06 10:57:51	ga_ls7e_ard_3-1-0_106075_2017-04-06_final
2018-03-07 11:53:18	ga_ls7e_ard_3-1-0_115077_2018-03-07_final
2018-07-22 10:07:09	ga_ls7e_ard_3-1-0_098080_2018-07-22_final
2018-10-20 10:38:19	ga_ls7e_ard_3-1-0_104070_2018-10-20_final
2019-01-16 11:31:01	ga_ls7e_ard_3-1-0_112084_2019-01-16_final
2019-02-22 11:44:26	ga_ls7e_ard_3-1-0_115074_2019-02-22_final
2019-02-26 09:43:53	ga_ls7e_ard_3-1-0_095082_2019-02-26_final
2019-03-07 09:34:14	ga_ls7e_ard_3-1-0_094074_2019-03-07_final
2019-03-18 10:57:48	ga_ls7e_ard_3-1-0_107083_2019-03-18_final
2019-03-20 09:04:06	ga_ls7e_ard_3-1-0_089077_2019-03-19_final
2019-03-26 10:06:30	ga_ls7e_ard_3-1-0_099079_2019-03-26_final
2019-03-27 09:15:14	ga_ls7e_ard_3-1-0_090090_2019-03-26_final
2019-03-28 09:50:05	ga_ls7e_ard_3-1-0_097069_2019-03-28_final
2019-04-20 09:59:50	ga_ls7e_ard_3-1-0_098080_2019-04-20_final
2019-06-27 11:08:17	ga_ls7e_ard_3-1-0_110072_2019-06-27_final
2019-08-18 10:42:41	ga_ls7e_ard_3-1-0_106075_2019-08-18_final
2019-08-26 09:50:06	ga_ls7e_ard_3-1-0_098068_2019-08-26_final
2019-08-29 10:22:28	ga_ls7e_ard_3-1-0_103072_2019-08-29_final
2019-09-12 09:00:32	ga_ls7e_ard_3-1-0_089085_2019-09-11_final
2019-09-19 10:38:30	ga_ls7e_ard_3-1-0_106068_2019-09-19_final
2019-09-21 10:26:03	ga_ls7e_ard_3-1-0_104068_2019-09-21_final
2019-10-04 09:55:00	ga_ls7e_ard_3-1-0_099069_2019-10-04_final
2019-10-28 10:45:49	ga_ls7e_ard_3-1-0_107075_2019-10-28_final
2019-10-31 11:18:35	ga_ls7e_ard_3-1-0_112080_2019-10-31_final
2019-11-04 09:17:59	ga_ls7e_ard_3-1-0_092088_2019-11-03_final
2019-11-05 11:34:54	ga_ls7e_ard_3-1-0_115075_2019-11-05_final
2019-11-05 11:36:06	ga_ls7e_ard_3-1-0_115078_2019-11-05_final
2019-11-06 09:01:09	ga_ls7e_ard_3-1-0_090077_2019-11-05_final
2019-11-21 11:35:45	ga_ls7e_ard_3-1-0_115079_2019-11-21_final
2019-12-01 08:56:59	ga_ls7e_ard_3-1-0_089085_2019-11-30_final
2019-12-07 09:56:30	ga_ls7e_ard_3-1-0_099080_2019-12-07_final
2019-12-08 10:36:31	ga_ls7e_ard_3-1-0_106072_2019-12-08_final
2019-12-08 10:40:54	ga_ls7e_ard_3-1-0_106083_2019-12-08_final
2019-12-15 10:44:20	ga_ls7e_ard_3-1-0_107077_2019-12-15_final
2019-12-18 11:13:53	ga_ls7e_ard_3-1-0_112074_2019-12-18_final
2019-12-25 11:22:54	ga_ls7e_ard_3-1-0_113082_2019-12-25_final
2020-01-06 10:04:55	ga_ls7e_ard_3-1-0_101074_2020-01-06_final
2020-01-14 09:19:28	ga_ls7e_ard_3-1-0_093085_2020-01-13_final
2020-01-14 10:54:22	ga_ls7e_ard_3-1-0_109075_2020-01-14_final
2020-01-15 09:57:06	ga_ls7e_ard_3-1-0_100071_2020-01-15_final
2020-01-24 11:32:09	ga_ls7e_ard_3-1-0_115078_2020-01-24_final
2020-01-24 11:32:33	ga_ls7e_ard_3-1-0_115079_2020-01-24_final
2020-02-05 10:15:23	ga_ls7e_ard_3-1-0_103073_2020-02-05_final
2020-02-11 09:41:11	ga_ls7e_ard_3-1-0_097081_2020-02-11_final
2020-02-25 09:53:37	ga_ls7e_ard_3-1-0_099083_2020-02-25_final
2020-03-12 11:28:50	ga_ls7e_ard_3-1-0_115076_2020-03-12_final
2020-03-21 11:22:34	ga_ls7e_ard_3-1-0_114077_2020-03-21_final
2020-03-27 09:09:52	ga_ls7e_ard_3-1-0_092086_2020-03-26_final
2020-03-29 08:58:35	ga_ls7e_ard_3-1-0_090089_2020-03-28_final
2020-04-03 09:16:26	ga_ls7e_ard_3-1-0_093088_2020-04-02_final
2020-04-08 11:11:11	ga_ls7e_ard_3-1-0_112082_2020-04-08_final
2020-04-10 09:16:38	ga_ls7e_ard_3-1-0_094074_2020-04-09_final
2020-04-15 11:16:09	ga_ls7e_ard_3-1-0_113080_2020-04-15_final
2022-03-18 10:33:05	ga_ls7e_ard_3-2-1_115080_2022-03-18_final
2022-03-26 09:44:30	ga_ls7e_ard_3-2-1_107084_2022-03-26_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