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
1999-08-14 11:18:34	ga_ls7e_ard_3-0-0_111073_1999-08-14_final
1999-09-06 11:22:24	ga_ls7e_ard_3-0-0_112067_1999-09-06_final
1999-10-29 11:44:53	ga_ls7e_ard_3-1-0_115077_1999-10-29_final
2000-07-29 11:32:26	ga_ls7e_ard_3-0-0_113081_2000-07-29_final
2002-04-16 09:40:46	ga_ls7e_ard_3-0-0_095086_2002-04-16_final
2002-08-06 09:35:46	ga_ls7e_ard_3-0-0_095075_2002-08-06_final
2002-09-05 11:23:38	ga_ls7e_ard_3-0-0_113067_2002-09-05_final
2002-11-01 11:23:41	ga_ls7e_ard_3-0-0_112083_2002-11-01_final
2003-02-05 11:20:53	ga_ls7e_ard_3-0-0_112074_2003-02-05_final
2003-03-18 09:35:07	ga_ls7e_ard_3-0-0_095072_2003-03-18_final
2003-08-25 09:34:47	ga_ls7e_ard_3-0-0_095072_2003-08-25_final
2003-10-17 11:34:50	ga_ls7e_ard_3-0-0_114079_2003-10-17_final
2004-05-07 09:36:23	ga_ls7e_ard_3-0-0_095074_2004-05-07_final
2004-05-19 11:41:11	ga_ls7e_ard_3-1-0_115077_2004-05-19_final
2004-11-11 11:39:45	ga_ls7e_ard_3-0-0_115074_2004-11-11_final
2005-04-24 09:40:44	ga_ls7e_ard_3-0-0_095084_2005-04-24_final
2005-05-17 11:22:17	ga_ls7e_ard_3-0-0_112075_2005-05-17_final
2005-08-26 11:41:39	ga_ls7e_ard_3-0-0_115078_2005-08-26_final
2005-09-27 11:40:41	ga_ls7e_ard_3-0-0_115076_2005-09-27_final
2005-10-22 11:35:50	ga_ls7e_ard_3-0-0_114079_2005-10-22_final
2006-01-10 11:36:27	ga_ls7e_ard_3-0-0_114079_2006-01-10_final
2006-02-06 11:18:30	ga_ls7e_ard_3-0-0_111080_2006-02-06_final
2006-06-30 09:40:42	ga_ls7e_ard_3-0-0_095083_2006-06-30_final
2007-05-23 11:19:47	ga_ls7e_ard_3-0-0_112067_2007-05-23_final
2007-08-02 11:31:45	ga_ls7e_ard_3-0-0_113082_2007-08-02_final
2008-01-09 11:32:24	ga_ls7e_ard_3-0-0_113083_2008-01-09_final
2008-06-19 09:36:06	ga_ls7e_ard_3-0-0_095072_2008-06-19_final
2008-07-10 11:35:41	ga_ls7e_ard_3-0-0_114078_2008-07-10_final
2009-04-08 11:35:44	ga_ls7e_ard_3-0-0_114076_2009-04-08_final
2009-07-22 11:31:56	ga_ls7e_ard_3-0-0_113082_2009-07-22_final
2009-08-14 11:36:23	ga_ls7e_ard_3-0-0_114078_2009-08-14_final
2009-09-26 11:15:25	ga_ls7e_ard_3-0-0_111072_2009-09-26_final
2009-11-27 11:29:12	ga_ls7e_ard_3-0-0_113074_2009-11-27_final
2010-03-05 09:39:40	ga_ls7e_ard_3-0-0_095075_2010-03-05_final
2010-04-13 11:28:28	ga_ls7e_ard_3-1-0_112084_2010-04-13_final
2010-07-11 09:44:36	ga_ls7e_ard_3-0-0_095087_2010-07-11_final
2011-12-17 11:46:14	ga_ls7e_ard_3-0-0_115078_2011-12-17_final
2012-03-24 11:36:10	ga_ls7e_ard_3-0-0_113083_2012-03-24_final
2012-04-11 11:19:43	ga_ls7e_ard_3-0-0_111073_2012-04-11_final
2012-06-05 11:26:35	ga_ls7e_ard_3-0-0_112074_2012-06-05_final
2012-09-16 11:37:29	ga_ls7e_ard_3-0-0_113083_2012-09-16_final
2012-11-05 11:22:19	ga_ls7e_ard_3-0-0_111075_2012-11-05_final
2012-11-05 11:22:43	ga_ls7e_ard_3-0-0_111076_2012-11-05_final
2013-09-17 11:48:04	ga_ls7e_ard_3-0-0_115078_2013-09-17_final
2014-06-19 09:04:08	ga_ls7e_ard_3-0-0_088081_2014-06-18_final
2014-06-20 11:22:18	ga_ls7e_ard_3-0-0_111071_2014-06-20_final
2014-07-18 11:49:56	ga_ls7e_ard_3-0-0_115078_2014-07-18_final
2014-08-06 09:04:47	ga_ls7e_ard_3-0-0_088082_2014-08-05_final
2015-01-30 09:51:03	ga_ls7e_ard_3-0-0_095087_2015-01-30_final
2015-07-07 11:35:21	ga_ls7e_ard_3-0-0_113067_2015-07-07_final
2015-09-07 11:50:41	ga_ls7e_ard_3-0-0_115074_2015-09-07_final
2015-10-09 11:51:17	ga_ls7e_ard_3-0-0_115075_2015-10-09_final
2015-10-18 11:44:53	ga_ls7e_ard_3-0-0_114074_2015-10-18_final
2015-10-18 11:46:05	ga_ls7e_ard_3-0-0_114077_2015-10-18_final
2015-12-30 11:43:24	ga_ls7e_ard_3-0-0_113083_2015-12-30_final
2016-02-25 11:34:57	ga_ls7e_ard_3-0-0_112076_2016-02-25_final
2016-10-27 11:53:30	ga_ls7e_ard_3-0-0_115074_2016-10-27_final
2017-08-22 11:32:05	ga_ls7e_ard_3-0-0_112067_2017-08-22_final
2017-11-19 09:46:59	ga_ls7e_ard_3-0-0_095067_2017-11-19_final
2018-02-14 11:35:23	ga_ls7e_ard_3-0-0_112078_2018-02-14_final
2018-03-27 09:50:38	ga_ls7e_ard_3-0-0_095080_2018-03-27_final
2018-05-19 11:44:47	ga_ls7e_ard_3-0-0_114074_2018-05-19_final
2018-06-20 11:44:14	ga_ls7e_ard_3-0-0_114074_2018-06-20_final
2018-07-31 11:34:30	ga_ls7e_ard_3-0-0_113067_2018-07-31_final
2018-08-02 09:45:37	ga_ls7e_ard_3-1-0_095073_2018-08-02_final
2018-09-19 09:47:26	ga_ls7e_ard_3-0-0_095080_2018-09-19_final
2018-12-08 09:46:19	ga_ls7e_ard_3-0-0_095082_2018-12-08_final
2018-12-29 11:42:20	ga_ls7e_ard_3-0-0_114080_2018-12-29_final
2019-02-06 11:45:18	ga_ls7e_ard_3-0-0_115075_2019-02-06_final
2019-05-15 11:31:59	ga_ls7e_ard_3-0-0_113081_2019-05-15_final
2019-06-02 09:34:30	ga_ls7e_ard_3-0-0_095067_2019-06-02_final
2019-10-15 11:20:28	ga_ls7e_ard_3-1-0_112083_2019-10-15_final
2020-01-28 09:30:20	ga_ls7e_ard_3-1-0_095083_2020-01-28_final
2020-02-20 11:13:01	ga_ls7e_ard_3-1-0_112080_2020-02-20_final
2020-12-11 10:55:40	ga_ls7e_ard_3-1-0_113067_2020-12-11_final
2020-12-11 11:01:39	ga_ls7e_ard_3-1-0_113082_2020-12-11_final
2021-02-16 09:43:38	ga_ls7e_ard_3-2-0_102069_2021-02-16_final
2021-04-24 10:11:32	ga_ls7e_ard_3-2-0_107075_2021-04-24_final
2021-05-06 08:55:34	ga_ls7e_ard_3-2-0_095073_2021-05-05_final
2021-05-08 08:48:14	ga_ls7e_ard_3-2-0_093086_2021-05-07_final
2021-05-28 08:18:37	ga_ls7e_ard_3-2-0_089078_2021-05-27_final
2021-06-05 09:09:46	ga_ls7e_ard_3-2-0_097084_2021-06-04_final
2021-07-03 09:28:12	ga_ls7e_ard_3-2-0_101074_2021-07-02_final
2021-07-13 10:08:25	ga_ls7e_ard_3-2-0_107084_2021-07-13_final
2021-07-22 09:57:05	ga_ls7e_ard_3-2-0_106073_2021-07-22_final
2021-09-18 08:47:48	ga_ls7e_ard_3-2-0_096067_2021-09-17_final
2021-10-10 09:49:38	ga_ls7e_ard_3-2-0_106072_2021-10-10_final
2021-10-17 08:21:06	ga_ls7e_ard_3-2-0_091084_2021-10-16_final
2021-10-30 09:22:19	ga_ls7e_ard_3-2-0_102070_2021-10-29_final
2021-11-09 09:59:38	ga_ls7e_ard_3-2-0_108073_2021-11-09_final
2021-11-26 10:42:03	ga_ls7e_ard_3-2-1_115075_2021-11-26_final
2021-12-04 08:13:23	ga_ls7e_ard_3-2-1_091076_2021-12-03_final
2021-12-09 10:12:19	ga_ls7e_ard_3-2-1_110081_2021-12-09_final
2021-12-26 09:15:51	ga_ls7e_ard_3-2-1_101083_2021-12-25_final
2022-01-29 08:58:11	ga_ls7e_ard_3-2-1_099078_2022-01-28_final
2022-02-02 08:31:05	ga_ls7e_ard_3-2-1_095073_2022-02-01_final
2022-02-06 09:48:49	ga_ls7e_ard_3-2-1_107083_2022-02-06_final
2022-02-21 08:59:40	ga_ls7e_ard_3-2-1_100072_2022-02-20_final
2022-02-25 08:40:09	ga_ls7e_ard_3-2-1_096086_2022-02-24_final
2022-03-31 09:57:46	ga_ls7e_ard_3-2-1_110072_2022-03-31_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