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
1999-10-13 10:03:20	ga_ls7e_ard_3-0-0_099070_1999-10-13_final
1999-10-29 10:03:13	ga_ls7e_ard_3-0-0_099070_1999-10-29_final
2000-11-01 09:11:27	ga_ls7e_ard_3-0-0_090086_2000-10-31_final
2000-11-25 11:37:45	ga_ls7e_ard_3-0-0_114081_2000-11-25_final
2001-01-02 10:58:20	ga_ls7e_ard_3-1-0_108075_2001-01-02_final
2001-06-04 10:51:27	ga_ls7e_ard_3-0-0_107075_2001-06-04_final
2001-08-23 10:50:33	ga_ls7e_ard_3-0-0_107075_2001-08-23_final
2002-05-14 10:02:38	ga_ls7e_ard_3-0-0_099079_2002-05-14_final
2002-12-05 09:28:53	ga_ls7e_ard_3-1-0_094073_2002-12-04_final
2003-01-27 11:26:57	ga_ls7e_ard_3-0-0_113074_2003-01-27_final
2003-04-23 10:50:29	ga_ls7e_ard_3-0-0_107075_2003-04-23_final
2004-05-10 10:06:06	ga_ls7e_ard_3-0-0_100071_2004-05-10_final
2004-06-04 10:05:02	ga_ls7e_ard_3-0-0_099084_2004-06-04_final
2004-10-02 10:49:56	ga_ls7e_ard_3-0-0_107074_2004-10-02_final
2005-01-06 10:49:33	ga_ls7e_ard_3-0-0_107071_2005-01-06_final
2005-01-07 11:36:24	ga_ls7e_ard_3-0-0_114080_2005-01-07_final
2005-02-17 11:30:51	ga_ls7e_ard_3-0-0_113081_2005-02-17_final
2005-05-24 11:31:38	ga_ls7e_ard_3-0-0_113083_2005-05-24_final
2005-12-29 11:08:50	ga_ls7e_ard_3-1-0_110072_2005-12-29_final
2006-02-04 11:28:28	ga_ls7e_ard_3-0-0_113074_2006-02-04_final
2006-05-09 10:03:59	ga_ls7e_ard_3-0-0_099079_2006-05-09_final
2006-10-24 10:51:23	ga_ls7e_ard_3-0-0_107075_2006-10-24_final
2007-01-16 10:30:03	ga_ls7e_ard_3-1-0_103082_2007-01-16_final
2007-03-19 09:02:39	ga_ls7e_ard_3-0-0_089079_2007-03-18_final
2007-06-30 09:07:44	ga_ls7e_ard_3-0-0_090077_2007-06-29_final
2007-08-24 09:17:15	ga_ls7e_ard_3-1-0_091086_2007-08-23_final
2008-06-21 09:30:06	ga_ls7e_ard_3-1-0_093088_2008-06-21_final
2008-09-19 10:02:47	ga_ls7e_ard_3-0-0_099079_2008-09-19_final
2008-12-18 09:05:37	ga_ls7e_ard_3-0-0_089089_2008-12-17_final
2009-02-10 09:59:47	ga_ls7e_ard_3-0-0_099069_2009-02-10_final
2009-10-31 10:12:05	ga_ls7e_ard_3-0-0_100083_2009-10-31_final
2009-12-21 09:04:25	ga_ls7e_ard_3-0-0_089082_2009-12-20_final
2010-02-14 09:09:24	ga_ls7e_ard_3-0-0_090077_2010-02-13_final
2010-04-08 09:31:51	ga_ls7e_ard_3-0-0_093086_2010-04-08_final
2010-04-28 09:08:42	ga_ls7e_ard_3-0-0_089090_2010-04-27_final
2010-11-25 09:37:03	ga_ls7e_ard_3-0-0_094082_2010-11-25_final
2010-11-29 09:10:47	ga_ls7e_ard_3-0-0_090078_2010-11-28_final
2011-05-25 11:35:37	ga_ls7e_ard_3-0-0_113083_2011-05-25_final
2011-08-11 10:06:32	ga_ls7e_ard_3-0-0_099077_2011-08-11_final
2012-11-02 09:18:32	ga_ls7e_ard_3-0-0_090090_2012-11-01_final
2013-04-16 09:31:13	ga_ls7e_ard_3-0-0_093075_2013-04-16_final
2013-06-13 10:05:36	ga_ls7e_ard_3-0-0_099069_2013-06-13_final
2013-06-13 10:09:59	ga_ls7e_ard_3-0-0_099080_2013-06-13_final
2013-06-20 10:12:56	ga_ls7e_ard_3-0-0_100072_2013-06-20_final
2013-09-07 09:35:35	ga_ls7e_ard_3-0-0_093087_2013-09-07_final
2013-12-29 10:16:07	ga_ls7e_ard_3-0-0_100078_2013-12-29_final
2014-02-18 09:10:49	ga_ls7e_ard_3-0-0_089084_2014-02-17_final
2014-04-20 10:16:51	ga_ls7e_ard_3-0-0_100078_2014-04-20_final
2014-10-14 10:57:44	ga_ls7e_ard_3-0-0_107070_2014-10-14_final
2015-07-15 09:13:27	ga_ls7e_ard_3-0-0_089083_2015-07-14_final
2015-11-02 11:04:37	ga_ls7e_ard_3-0-0_107081_2015-11-02_final
2015-11-26 10:14:47	ga_ls7e_ard_3-0-0_099079_2015-11-26_final
2016-01-07 09:17:37	ga_ls7e_ard_3-1-0_089089_2016-01-06_final
2016-02-06 11:01:36	ga_ls7e_ard_3-0-0_107070_2016-02-06_final
2016-04-18 10:12:37	ga_ls7e_ard_3-0-0_099070_2016-04-18_final
2016-04-28 09:16:04	ga_ls7e_ard_3-0-0_089083_2016-04-27_final
2016-06-25 11:31:51	ga_ls7e_ard_3-1-0_111082_2016-06-25_final
2016-07-17 09:15:53	ga_ls7e_ard_3-0-0_089082_2016-07-16_final
2017-03-13 11:46:47	ga_ls7e_ard_3-0-0_114074_2017-03-13_final
2017-03-21 09:24:05	ga_ls7e_ard_3-0-0_090088_2017-03-20_final
2017-05-24 10:58:05	ga_ls7e_ard_3-1-0_106075_2017-05-24_final
2017-09-12 10:15:43	ga_ls7e_ard_3-0-0_099077_2017-09-12_final
2017-10-24 09:14:21	ga_ls7e_ard_3-0-0_089078_2017-10-23_final
2017-11-15 10:16:55	ga_ls7e_ard_3-0-0_099080_2017-11-15_final
2018-04-08 10:09:59	ga_ls7e_ard_3-0-0_099067_2018-04-08_final
2018-04-08 10:14:47	ga_ls7e_ard_3-0-0_099079_2018-04-08_final
2018-06-08 09:46:03	ga_ls7e_ard_3-0-0_094087_2018-06-08_final
2018-09-08 11:39:55	ga_ls7e_ard_3-0-0_114067_2018-09-08_final
2019-02-18 10:33:11	ga_ls7e_ard_3-1-0_103081_2019-02-18_final
2019-03-01 10:10:19	ga_ls7e_ard_3-1-0_100071_2019-03-01_final
2019-03-04 10:43:07	ga_ls7e_ard_3-1-0_105076_2019-03-04_final
2019-03-10 11:43:55	ga_ls7e_ard_3-1-0_115074_2019-03-10_final
2019-03-19 10:02:33	ga_ls7e_ard_3-1-0_098084_2019-03-19_final
2019-03-20 09:06:54	ga_ls7e_ard_3-1-0_089084_2019-03-19_final
2019-03-22 10:30:34	ga_ls7e_ard_3-1-0_103077_2019-03-22_final
2019-05-13 10:01:09	ga_ls7e_ard_3-0-0_099070_2019-05-13_final
2019-11-26 10:12:47	ga_ls7e_ard_3-1-0_102073_2019-11-26_final
2020-01-28 11:04:50	ga_ls7e_ard_3-1-0_111072_2020-01-28_final
2020-03-12 09:51:09	ga_ls7e_ard_3-1-0_099079_2020-03-12_final
2020-03-12 11:28:26	ga_ls7e_ard_3-1-0_115075_2020-03-12_final
2020-03-29 08:56:59	ga_ls7e_ard_3-1-0_090085_2020-03-28_final
2020-05-12 09:19:55	ga_ls7e_ard_3-1-0_094087_2020-05-11_final
2020-05-19 09:24:28	ga_ls7e_ard_3-1-0_095084_2020-05-18_final
2020-06-24 08:59:37	ga_ls7e_ard_3-1-0_091089_2020-06-23_final
2020-06-28 10:06:45	ga_ls7e_ard_3-1-0_103072_2020-06-28_final
2020-07-16 09:57:18	ga_ls7e_ard_3-1-0_101082_2020-07-16_final
2021-01-29 09:56:56	ga_ls7e_ard_3-2-0_104068_2021-01-29_final
2021-03-24 09:20:05	ga_ls7e_ard_3-2-0_098079_2021-03-23_final
2021-04-09 09:15:11	ga_ls7e_ard_3-2-0_098070_2021-04-08_final
2021-05-19 08:25:10	ga_ls7e_ard_3-2-0_090077_2021-05-18_final
2021-06-22 09:45:16	ga_ls7e_ard_3-2-0_104068_2021-06-22_final
2021-07-29 08:30:09	ga_ls7e_ard_3-2-0_091089_2021-07-28_final
2021-07-31 08:13:38	ga_ls7e_ard_3-2-0_089079_2021-07-30_final
2021-08-10 10:23:55	ga_ls7e_ard_3-2-0_111067_2021-08-10_final
2021-09-01 09:47:42	ga_ls7e_ard_3-2-0_105074_2021-09-01_final
2021-12-06 09:39:19	ga_ls7e_ard_3-2-1_105075_2021-12-06_final
2022-01-13 08:55:21	ga_ls7e_ard_3-2-1_099067_2022-01-12_final
2022-01-16 09:26:46	ga_ls7e_ard_3-2-1_104069_2022-01-15_final
2022-01-23 07:56:35	ga_ls7e_ard_3-2-1_089077_2022-01-22_final
2022-01-26 10:04:28	ga_ls7e_ard_3-2-1_110073_2022-01-26_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