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
1999-09-28 09:13:41	ga_ls7e_ard_3-1-0_090085_1999-09-27_final
2000-01-27 10:44:12	ga_ls7e_ard_3-1-0_105080_2000-01-27_final
2000-02-28 09:05:33	ga_ls7e_ard_3-1-0_089081_2000-02-27_final
2000-11-17 09:11:02	ga_ls7e_ard_3-1-0_090085_2000-11-16_final
2001-03-09 09:11:02	ga_ls7e_ard_3-1-0_090085_2001-03-08_final
2001-05-12 09:10:38	ga_ls7e_ard_3-1-0_090085_2001-05-11_final
2001-05-31 09:36:33	ga_ls7e_ard_3-1-0_095073_2001-05-31_final
2001-09-14 10:13:13	ga_ls7e_ard_3-1-0_101075_2001-09-14_final
2002-05-27 11:07:45	ga_ls7e_ard_3-1-0_110072_2002-05-27_final
2002-09-25 11:04:17	ga_ls7e_ard_3-1-0_109081_2002-09-25_final
2002-10-03 10:12:24	ga_ls7e_ard_3-1-0_101075_2002-10-03_final
2002-10-14 09:57:00	ga_ls7e_ard_3-1-0_098083_2002-10-14_final
2003-08-08 10:30:01	ga_ls7e_ard_3-1-0_104071_2003-08-08_final
2004-12-17 11:18:30	ga_ls7e_ard_3-1-0_111082_2004-12-17_final
2005-04-30 09:02:30	ga_ls7e_ard_3-1-0_089081_2005-04-29_final
2005-07-26 09:07:18	ga_ls7e_ard_3-1-0_090078_2005-07-25_final
2006-01-08 10:10:43	ga_ls7e_ard_3-1-0_100081_2006-01-08_final
2006-01-21 11:19:12	ga_ls7e_ard_3-1-0_111082_2006-01-21_final
2006-02-18 11:42:04	ga_ls7e_ard_3-1-0_115077_2006-02-18_final
2006-06-16 11:06:31	ga_ls7e_ard_3-1-0_109081_2006-06-16_final
2007-08-02 09:50:29	ga_ls7e_ard_3-1-0_097076_2007-08-02_final
2007-10-18 11:00:33	ga_ls7e_ard_3-1-0_108082_2007-10-18_final
2008-04-06 09:03:03	ga_ls7e_ard_3-1-0_089081_2008-04-05_final
2008-04-10 10:14:49	ga_ls7e_ard_3-1-0_101075_2008-04-10_final
2008-08-01 10:55:36	ga_ls7e_ard_3-1-0_108071_2008-08-01_final
2008-09-29 09:01:41	ga_ls7e_ard_3-1-0_089081_2008-09-28_final
2009-10-14 11:06:38	ga_ls7e_ard_3-1-0_109081_2009-10-14_final
2010-02-20 10:12:03	ga_ls7e_ard_3-1-0_100079_2010-02-20_final
2010-06-03 10:16:49	ga_ls7e_ard_3-1-0_101075_2010-06-03_final
2010-08-30 11:08:47	ga_ls7e_ard_3-1-0_109081_2010-08-30_final
2010-09-12 10:33:31	ga_ls7e_ard_3-1-0_104070_2010-09-12_final
2010-09-13 11:21:34	ga_ls7e_ard_3-1-0_111082_2010-09-13_final
2010-12-11 09:31:13	ga_ls7e_ard_3-1-0_094067_2010-12-11_final
2011-01-01 09:53:32	ga_ls7e_ard_3-1-0_097076_2011-01-01_final
2011-01-16 09:13:59	ga_ls7e_ard_3-1-0_090085_2011-01-15_final
2011-02-03 10:34:38	ga_ls7e_ard_3-1-0_104070_2011-02-03_final
2011-03-26 11:10:06	ga_ls7e_ard_3-1-0_109081_2011-03-26_final
2011-06-25 09:14:14	ga_ls7e_ard_3-1-0_090085_2011-06-24_final
2011-06-26 09:53:53	ga_ls7e_ard_3-1-0_097076_2011-06-26_final
2012-12-05 09:56:20	ga_ls7e_ard_3-1-0_097076_2012-12-05_final
2013-02-20 09:28:26	ga_ls7e_ard_3-1-0_092083_2013-02-19_final
2013-02-21 11:48:10	ga_ls7e_ard_3-1-0_115077_2013-02-21_final
2014-02-18 10:48:06	ga_ls7e_ard_3-1-0_105080_2014-02-18_final
2014-06-03 10:38:37	ga_ls7e_ard_3-1-0_104070_2014-06-03_final
2015-09-13 11:16:26	ga_ls7e_ard_3-1-0_109081_2015-09-13_final
2015-12-06 10:52:24	ga_ls7e_ard_3-1-0_105080_2015-12-06_final
2016-07-13 11:19:04	ga_ls7e_ard_3-1-0_109081_2016-07-13_final
2016-11-29 09:23:12	ga_ls7e_ard_3-1-0_090085_2016-11-28_final
2017-02-20 11:31:17	ga_ls7e_ard_3-1-0_111082_2017-02-20_final
2017-03-26 11:18:45	ga_ls7e_ard_3-1-0_109081_2017-03-26_final
2018-01-16 10:26:38	ga_ls7e_ard_3-1-0_101075_2018-01-16_final
2018-04-26 11:41:24	ga_ls7e_ard_3-1-0_113080_2018-04-26_final
2018-06-27 11:51:29	ga_ls7e_ard_3-1-0_115077_2018-06-27_final
2018-08-17 10:43:21	ga_ls7e_ard_3-1-0_104079_2018-08-17_final
2018-12-02 10:19:34	ga_ls7e_ard_3-1-0_101072_2018-12-02_final
2019-02-18 10:30:23	ga_ls7e_ard_3-1-0_103074_2019-02-18_final
2019-02-20 10:19:10	ga_ls7e_ard_3-1-0_101077_2019-02-20_final
2019-03-16 09:30:09	ga_ls7e_ard_3-1-0_093080_2019-03-16_final
2019-03-21 09:48:08	ga_ls7e_ard_3-1-0_096079_2019-03-21_final
2019-08-11 10:38:47	ga_ls7e_ard_3-1-0_105080_2019-08-11_final
2019-08-28 11:22:08	ga_ls7e_ard_3-1-0_112082_2019-08-28_final
2019-09-10 09:14:34	ga_ls7e_ard_3-1-0_091089_2019-09-09_final
2019-09-17 10:55:20	ga_ls7e_ard_3-1-0_108079_2019-09-17_final
2019-09-20 09:46:49	ga_ls7e_ard_3-1-0_097078_2019-09-20_final
2019-09-20 09:47:13	ga_ls7e_ard_3-1-0_097079_2019-09-20_final
2019-09-28 10:33:31	ga_ls7e_ard_3-1-0_105072_2019-09-28_final
2019-09-29 11:20:44	ga_ls7e_ard_3-1-0_112082_2019-09-29_final
2019-10-02 10:09:26	ga_ls7e_ard_3-1-0_101074_2019-10-02_final
2019-10-05 09:03:20	ga_ls7e_ard_3-1-0_090079_2019-10-04_final
2019-10-18 10:07:58	ga_ls7e_ard_3-1-0_101072_2019-10-18_final
2019-11-03 10:09:40	ga_ls7e_ard_3-1-0_101078_2019-11-03_final
2019-11-18 11:06:35	ga_ls7e_ard_3-1-0_110083_2019-11-18_final
2019-11-20 09:12:52	ga_ls7e_ard_3-1-0_092077_2019-11-19_final
2019-11-23 09:41:14	ga_ls7e_ard_3-1-0_097071_2019-11-23_final
2019-12-01 10:31:05	ga_ls7e_ard_3-1-0_105073_2019-12-01_final
2019-12-10 10:22:51	ga_ls7e_ard_3-1-0_104069_2019-12-10_final
2019-12-15 10:46:44	ga_ls7e_ard_3-1-0_107083_2019-12-15_final
2019-12-20 11:03:01	ga_ls7e_ard_3-1-0_110078_2019-12-20_final
2019-12-27 11:11:14	ga_ls7e_ard_3-1-0_111084_2019-12-27_final
2019-12-30 09:58:42	ga_ls7e_ard_3-1-0_100073_2019-12-30_final
2020-01-02 08:53:22	ga_ls7e_ard_3-1-0_089080_2020-01-01_final
2020-01-22 10:04:56	ga_ls7e_ard_3-1-0_101076_2020-01-22_final
2020-02-09 11:31:44	ga_ls7e_ard_3-1-0_115079_2020-02-09_final
2020-02-29 11:04:22	ga_ls7e_ard_3-1-0_111075_2020-02-29_final
2020-03-10 10:01:38	ga_ls7e_ard_3-1-0_101074_2020-03-10_final
2020-03-20 10:38:57	ga_ls7e_ard_3-1-0_107076_2020-03-20_final
2020-03-20 10:40:09	ga_ls7e_ard_3-1-0_107079_2020-03-20_final
2020-03-21 09:40:53	ga_ls7e_ard_3-1-0_098070_2020-03-21_final
2020-04-08 09:30:42	ga_ls7e_ard_3-1-0_096078_2020-04-08_final
2020-04-22 11:22:20	ga_ls7e_ard_3-1-0_114081_2020-04-22_final
2021-03-16 10:11:22	ga_ls7e_ard_3-2-0_106082_2021-03-16_final
2021-04-02 09:15:34	ga_ls7e_ard_3-2-0_097085_2021-04-01_final
2021-04-08 08:34:48	ga_ls7e_ard_3-2-0_091077_2021-04-07_final
2021-04-25 09:17:25	ga_ls7e_ard_3-2-0_098079_2021-04-24_final
2021-04-27 09:02:29	ga_ls7e_ard_3-2-0_096073_2021-04-26_final
2021-05-25 09:28:03	ga_ls7e_ard_3-2-0_100081_2021-05-24_final
2022-03-25 09:00:32	ga_ls7e_ard_3-2-1_100082_2022-03-24_final
2022-03-26 08:07:37	ga_ls7e_ard_3-2-1_091089_2022-03-25_final
2022-03-31 10:01:22	ga_ls7e_ard_3-2-1_110081_2022-03-31_final
2022-04-03 08:53:53	ga_ls7e_ard_3-2-1_099083_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