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
1999-07-04 09:50:55	ga_ls7e_ard_3-1-0_096086_1999-07-04_final
2000-07-05 09:04:31	ga_ls7e_ard_3-1-0_089081_2000-07-04_final
2000-11-29 09:28:36	ga_ls7e_ard_3-1-0_094067_2000-11-28_final
2001-05-21 09:02:46	ga_ls7e_ard_3-1-0_089081_2001-05-20_final
2001-08-28 11:07:51	ga_ls7e_ard_3-1-0_110072_2001-08-28_final
2002-05-27 09:26:52	ga_ls7e_ard_3-1-0_094067_2002-05-26_final
2003-02-03 09:56:43	ga_ls7e_ard_3-1-0_098080_2003-02-03_final
2004-06-10 11:05:35	ga_ls7e_ard_3-1-0_109081_2004-06-10_final
2004-12-31 09:49:42	ga_ls7e_ard_3-1-0_097076_2004-12-31_final
2005-02-23 09:16:55	ga_ls7e_ard_3-1-0_091086_2005-02-22_final
2005-03-30 09:47:50	ga_ls7e_ard_3-1-0_096086_2005-03-30_final
2005-09-01 11:05:43	ga_ls7e_ard_3-1-0_109081_2005-09-01_final
2005-11-02 11:18:38	ga_ls7e_ard_3-1-0_111082_2005-11-02_final
2006-02-22 09:39:17	ga_ls7e_ard_3-1-0_095079_2006-02-22_final
2006-06-08 10:14:43	ga_ls7e_ard_3-1-0_101075_2006-06-08_final
2006-10-06 11:05:50	ga_ls7e_ard_3-1-0_109081_2006-10-06_final
2007-02-24 10:31:42	ga_ls7e_ard_3-1-0_104070_2007-02-24_final
2007-09-09 09:17:07	ga_ls7e_ard_3-1-0_091086_2007-09-08_final
2007-10-18 10:57:46	ga_ls7e_ard_3-1-0_108075_2007-10-18_final
2007-12-06 11:42:16	ga_ls7e_ard_3-1-0_115077_2007-12-06_final
2008-01-08 10:45:56	ga_ls7e_ard_3-1-0_106075_2008-01-08_final
2008-07-20 10:30:34	ga_ls7e_ard_3-1-0_104070_2008-07-20_final
2009-01-17 09:16:59	ga_ls7e_ard_3-1-0_091086_2009-01-16_final
2009-11-25 11:42:44	ga_ls7e_ard_3-1-0_115077_2009-11-25_final
2010-03-25 09:19:27	ga_ls7e_ard_3-1-0_091086_2010-03-24_final
2010-04-05 10:33:26	ga_ls7e_ard_3-1-0_104070_2010-04-05_final
2010-08-30 09:29:54	ga_ls7e_ard_3-1-0_093081_2010-08-29_final
2010-10-31 11:21:48	ga_ls7e_ard_3-1-0_111082_2010-10-31_final
2011-01-01 09:53:32	ga_ls7e_ard_3-1-0_097076_2011-01-01_final
2011-01-21 11:09:51	ga_ls7e_ard_3-1-0_109081_2011-01-21_final
2011-01-24 10:01:29	ga_ls7e_ard_3-1-0_098080_2011-01-24_final
2011-06-12 11:22:52	ga_ls7e_ard_3-1-0_111082_2011-06-12_final
2011-09-29 10:48:50	ga_ls7e_ard_3-1-0_106075_2011-09-29_final
2012-01-08 11:10:33	ga_ls7e_ard_3-1-0_109081_2012-01-08_final
2012-10-01 09:16:18	ga_ls7e_ard_3-1-0_090085_2012-09-30_final
2013-07-26 11:31:33	ga_ls7e_ard_3-1-0_112084_2013-07-26_final
2013-08-20 09:42:09	ga_ls7e_ard_3-1-0_095073_2013-08-20_final
2014-05-18 10:38:34	ga_ls7e_ard_3-1-0_104070_2014-05-18_final
2014-08-18 11:05:35	ga_ls7e_ard_3-1-0_108075_2014-08-18_final
2014-10-12 11:14:29	ga_ls7e_ard_3-1-0_109081_2014-10-12_final
2014-10-23 09:18:46	ga_ls7e_ard_3-1-0_090085_2014-10-22_final
2015-06-04 09:20:14	ga_ls7e_ard_3-1-0_090085_2015-06-03_final
2015-08-31 10:07:58	ga_ls7e_ard_3-1-0_098080_2015-08-31_final
2015-10-13 09:46:58	ga_ls7e_ard_3-1-0_095073_2015-10-13_final
2016-01-06 10:09:38	ga_ls7e_ard_3-1-0_098080_2016-01-06_final
2016-04-18 11:54:18	ga_ls7e_ard_3-1-0_115077_2016-04-18_final
2016-08-12 11:31:54	ga_ls7e_ard_3-1-0_111082_2016-08-12_final
2017-09-23 10:00:45	ga_ls7e_ard_3-1-0_096086_2017-09-23_final
2017-12-10 10:10:33	ga_ls7e_ard_3-1-0_098080_2017-12-10_final
2018-01-24 09:41:51	ga_ls7e_ard_3-1-0_093087_2018-01-24_final
2018-08-18 11:27:47	ga_ls7e_ard_3-1-0_111082_2018-08-18_final
2018-12-23 10:36:44	ga_ls7e_ard_3-1-0_104070_2018-12-23_final
2018-12-26 11:11:56	ga_ls7e_ard_3-1-0_109081_2018-12-26_final
2019-02-17 09:49:09	ga_ls7e_ard_3-1-0_096079_2019-02-17_final
2019-02-22 11:45:13	ga_ls7e_ard_3-1-0_115076_2019-02-22_final
2019-03-11 09:14:58	ga_ls7e_ard_3-1-0_090088_2019-03-10_final
2019-03-23 09:38:06	ga_ls7e_ard_3-1-0_094085_2019-03-23_final
2019-03-28 09:56:28	ga_ls7e_ard_3-1-0_097085_2019-03-28_final
2019-04-17 09:30:15	ga_ls7e_ard_3-1-0_093083_2019-04-17_final
2019-06-27 09:30:12	ga_ls7e_ard_3-1-0_094074_2019-06-27_final
2019-07-06 11:05:21	ga_ls7e_ard_3-1-0_109081_2019-07-06_final
2019-08-25 10:50:33	ga_ls7e_ard_3-1-0_107080_2019-08-25_final
2019-08-29 10:22:52	ga_ls7e_ard_3-1-0_103073_2019-08-29_final
2019-09-01 10:57:38	ga_ls7e_ard_3-1-0_108083_2019-09-01_final
2019-09-02 10:01:10	ga_ls7e_ard_3-1-0_099081_2019-09-02_final
2019-09-04 09:49:31	ga_ls7e_ard_3-1-0_097083_2019-09-04_final
2019-09-30 10:25:04	ga_ls7e_ard_3-1-0_103082_2019-09-30_final
2019-10-02 10:08:38	ga_ls7e_ard_3-1-0_101072_2019-10-02_final
2019-10-10 09:23:15	ga_ls7e_ard_3-1-0_093083_2019-10-09_final
2019-10-21 09:07:03	ga_ls7e_ard_3-1-0_090090_2019-10-20_final
2019-10-24 09:35:49	ga_ls7e_ard_3-1-0_095085_2019-10-24_final
2019-10-24 11:13:06	ga_ls7e_ard_3-1-0_111081_2019-10-24_final
2019-10-31 09:40:06	ga_ls7e_ard_3-1-0_096081_2019-10-31_final
2019-11-04 10:52:05	ga_ls7e_ard_3-1-0_108076_2019-11-04_final
2019-11-09 11:07:12	ga_ls7e_ard_3-1-0_111068_2019-11-09_final
2019-11-11 09:19:04	ga_ls7e_ard_3-1-0_093076_2019-11-10_final
2019-11-13 10:43:54	ga_ls7e_ard_3-1-0_107072_2019-11-13_final
2019-11-23 11:23:18	ga_ls7e_ard_3-1-0_113079_2019-11-23_final
2019-11-25 09:32:46	ga_ls7e_ard_3-1-0_095081_2019-11-25_final
2019-11-25 11:11:38	ga_ls7e_ard_3-1-0_111081_2019-11-25_final
2019-11-29 10:43:08	ga_ls7e_ard_3-1-0_107072_2019-11-29_final
2019-12-14 09:59:56	ga_ls7e_ard_3-1-0_100074_2019-12-14_final
2019-12-26 10:24:02	ga_ls7e_ard_3-1-0_104074_2019-12-26_final
2020-01-10 11:22:04	ga_ls7e_ard_3-1-0_113082_2020-01-10_final
2020-01-30 10:54:22	ga_ls7e_ard_3-1-0_109077_2020-01-30_final
2020-02-13 09:30:19	ga_ls7e_ard_3-1-0_095085_2020-02-13_final
2020-02-24 10:45:18	ga_ls7e_ard_3-1-0_108073_2020-02-24_final
2020-02-26 08:57:57	ga_ls7e_ard_3-1-0_090083_2020-02-25_final
2020-03-07 09:32:53	ga_ls7e_ard_3-1-0_096079_2020-03-07_final
2020-03-18 09:14:33	ga_ls7e_ard_3-1-0_093081_2020-03-17_final
2020-03-20 09:01:40	ga_ls7e_ard_3-1-0_091080_2020-03-19_final
2020-03-26 10:01:33	ga_ls7e_ard_3-1-0_101076_2020-03-26_final
2020-04-08 09:28:19	ga_ls7e_ard_3-1-0_096072_2020-04-07_final
2020-04-19 09:11:55	ga_ls7e_ard_3-1-0_093079_2020-04-18_final
2020-04-21 10:39:07	ga_ls7e_ard_3-1-0_107081_2020-04-21_final
2020-04-24 11:07:51	ga_ls7e_ard_3-1-0_112076_2020-04-24_final
2022-03-14 09:17:44	ga_ls7e_ard_3-2-1_103076_2022-03-13_final
2022-03-15 10:00:06	ga_ls7e_ard_3-2-1_110074_2022-03-15_final
2022-03-26 08:06:01	ga_ls7e_ard_3-2-1_091085_2022-03-25_final
2022-03-27 10:25:16	ga_ls7e_ard_3-2-1_114078_2022-03-27_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