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
2000-01-05 09:39:38	ga_ls7e_ard_3-1-0_095073_2000-01-05_final
2000-10-08 11:36:36	ga_ls7e_ard_3-0-0_114078_2000-10-08_final
2002-05-02 09:39:14	ga_ls7e_ard_3-0-0_095082_2002-05-02_final
2003-11-25 11:39:53	ga_ls7e_ard_3-0-0_115075_2003-11-25_final
2004-02-01 09:39:52	ga_ls7e_ard_3-0-0_095083_2004-02-01_final
2004-02-29 11:41:32	ga_ls7e_ard_3-0-0_115078_2004-02-29_final
2004-03-09 11:36:14	ga_ls7e_ard_3-0-0_114080_2004-03-09_final
2004-12-29 11:40:56	ga_ls7e_ard_3-0-0_115076_2004-12-29_final
2005-09-20 11:35:41	ga_ls7e_ard_3-0-0_114079_2005-09-20_final
2005-11-18 09:39:30	ga_ls7e_ard_3-0-0_095081_2005-11-18_final
2006-01-05 09:41:23	ga_ls7e_ard_3-0-0_095085_2006-01-05_final
2006-03-10 09:42:29	ga_ls7e_ard_3-0-0_095087_2006-03-10_final
2006-05-25 11:42:28	ga_ls7e_ard_3-0-0_115078_2006-05-25_final
2006-08-06 11:35:31	ga_ls7e_ard_3-0-0_114077_2006-08-06_final
2006-11-01 11:40:33	ga_ls7e_ard_3-0-0_115074_2006-11-01_final
2006-11-21 09:39:59	ga_ls7e_ard_3-1-0_095081_2006-11-21_final
2006-12-07 09:34:32	ga_ls7e_ard_3-0-0_095067_2006-12-07_final
2006-12-07 09:36:56	ga_ls7e_ard_3-1-0_095073_2006-12-07_final
2007-02-09 09:37:36	ga_ls7e_ard_3-0-0_095074_2007-02-09_final
2007-03-09 11:42:55	ga_ls7e_ard_3-0-0_115078_2007-03-09_final
2007-09-10 11:36:04	ga_ls7e_ard_3-0-0_114078_2007-09-10_final
2007-11-20 11:41:22	ga_ls7e_ard_3-0-0_115075_2007-11-20_final
2007-12-26 09:40:44	ga_ls7e_ard_3-0-0_095082_2007-12-26_final
2008-01-11 09:40:45	ga_ls7e_ard_3-0-0_095082_2008-01-11_final
2008-01-11 09:42:45	ga_ls7e_ard_3-0-0_095087_2008-01-11_final
2008-03-15 09:41:20	ga_ls7e_ard_3-0-0_095084_2008-03-15_final
2008-09-07 09:36:11	ga_ls7e_ard_3-0-0_095074_2008-09-07_final
2009-06-27 11:37:01	ga_ls7e_ard_3-0-0_114079_2009-06-27_final
2009-08-14 11:37:11	ga_ls7e_ard_3-0-0_114080_2009-08-14_final
2009-09-10 09:39:46	ga_ls7e_ard_3-0-0_095080_2009-09-10_final
2009-09-26 09:36:32	ga_ls7e_ard_3-0-0_095072_2009-09-26_final
2010-03-05 09:39:16	ga_ls7e_ard_3-0-0_095074_2010-03-05_final
2010-12-23 11:40:06	ga_ls7e_ard_3-0-0_114080_2010-12-23_final
2011-01-02 08:59:55	ga_ls7e_ard_3-0-0_088081_2011-01-01_final
2011-04-25 09:45:36	ga_ls7e_ard_3-0-0_095086_2011-04-25_final
2011-11-08 11:40:06	ga_ls7e_ard_3-0-0_114079_2011-11-08_final
2012-04-27 09:43:33	ga_ls7e_ard_3-1-0_095079_2012-04-27_final
2013-01-08 09:43:22	ga_ls7e_ard_3-0-0_095074_2013-01-08_final
2013-07-19 09:43:46	ga_ls7e_ard_3-0-0_095077_2013-07-19_final
2013-08-16 11:46:30	ga_ls7e_ard_3-0-0_115075_2013-08-16_final
2013-10-12 11:43:00	ga_ls7e_ard_3-0-0_114080_2013-10-12_final
2013-12-06 11:48:45	ga_ls7e_ard_3-0-0_115078_2013-12-06_final
2013-12-10 09:40:46	ga_ls7e_ard_3-0-0_095067_2013-12-10_final
2013-12-26 09:42:48	ga_ls7e_ard_3-0-0_095072_2013-12-26_final
2014-06-20 09:49:48	ga_ls7e_ard_3-0-0_095087_2014-06-20_final
2014-07-06 09:44:19	ga_ls7e_ard_3-1-0_095073_2014-07-06_final
2015-02-15 09:49:05	ga_ls7e_ard_3-0-0_095082_2015-02-15_final
2015-02-27 11:50:27	ga_ls7e_ard_3-0-0_115076_2015-02-27_final
2016-07-11 09:54:09	ga_ls7e_ard_3-0-0_095085_2016-07-11_final
2016-08-08 11:54:14	ga_ls7e_ard_3-0-0_115076_2016-08-08_final
2016-10-31 09:49:04	ga_ls7e_ard_3-0-0_095072_2016-10-31_final
2016-11-28 11:55:19	ga_ls7e_ard_3-0-0_115079_2016-11-28_final
2017-06-12 09:54:12	ga_ls7e_ard_3-0-0_095085_2017-06-12_final
2017-07-10 11:54:16	ga_ls7e_ard_3-0-0_115076_2017-07-10_final
2018-01-06 09:52:54	ga_ls7e_ard_3-0-0_095083_2018-01-06_final
2018-02-12 11:47:46	ga_ls7e_ard_3-0-0_114078_2018-02-12_final
2018-05-30 09:50:23	ga_ls7e_ard_3-0-0_095082_2018-05-30_final
2018-12-08 09:45:55	ga_ls7e_ard_3-0-0_095081_2018-12-08_final
2018-12-29 11:42:44	ga_ls7e_ard_3-0-0_114081_2018-12-29_final
2019-01-05 11:46:19	ga_ls7e_ard_3-0-0_115075_2019-01-05_final
2019-03-19 11:40:14	ga_ls7e_ard_3-1-0_114081_2019-03-19_final
2019-04-27 11:42:15	ga_ls7e_ard_3-0-0_115074_2019-04-27_final
2019-11-21 11:33:46	ga_ls7e_ard_3-1-0_115074_2019-11-21_final
2020-06-16 11:22:49	ga_ls7e_ard_3-1-0_115075_2020-06-16_final
2021-02-19 10:17:06	ga_ls7e_ard_3-2-0_107076_2021-02-19_final
2021-02-22 09:07:41	ga_ls7e_ard_3-2-0_096073_2021-02-21_final
2021-03-17 09:15:16	ga_ls7e_ard_3-2-0_097081_2021-03-16_final
2021-04-01 10:05:41	ga_ls7e_ard_3-2-0_106071_2021-04-01_final
2021-04-04 10:36:20	ga_ls7e_ard_3-2-0_111071_2021-04-04_final
2021-04-05 09:39:50	ga_ls7e_ard_3-2-0_102069_2021-04-05_final
2021-04-06 10:28:36	ga_ls7e_ard_3-2-0_109083_2021-04-06_final
2021-04-08 10:13:16	ga_ls7e_ard_3-2-0_107076_2021-04-08_final
2021-04-27 09:02:53	ga_ls7e_ard_3-2-0_096074_2021-04-26_final
2021-05-07 09:41:08	ga_ls7e_ard_3-2-0_102079_2021-05-07_final
2021-06-19 09:20:12	ga_ls7e_ard_3-2-0_099082_2021-06-18_final
2021-06-21 09:08:28	ga_ls7e_ard_3-2-0_097084_2021-06-20_final
2021-06-29 09:55:15	ga_ls7e_ard_3-2-0_105079_2021-06-29_final
2021-08-14 08:27:08	ga_ls7e_ard_3-2-0_091085_2021-08-13_final
2021-08-23 09:54:40	ga_ls7e_ard_3-2-0_106074_2021-08-23_final
2021-08-24 08:58:58	ga_ls7e_ard_3-2-0_097074_2021-08-23_final
2021-08-30 10:03:02	ga_ls7e_ard_3-2-0_107081_2021-08-30_final
2021-09-15 08:24:45	ga_ls7e_ard_3-2-0_091086_2021-09-14_final
2021-09-17 09:44:18	ga_ls7e_ard_3-2-0_105069_2021-09-17_final
2021-09-24 08:18:58	ga_ls7e_ard_3-2-0_090089_2021-09-23_final
2021-10-01 09:57:48	ga_ls7e_ard_3-2-0_107075_2021-10-01_final
2021-10-09 09:09:40	ga_ls7e_ard_3-2-0_099080_2021-10-08_final
2021-10-13 10:20:16	ga_ls7e_ard_3-2-0_111072_2021-10-13_final
2021-10-26 09:47:48	ga_ls7e_ard_3-2-0_106071_2021-10-26_final
2021-11-08 09:19:40	ga_ls7e_ard_3-2-0_101081_2021-11-07_final
2021-11-25 10:02:04	ga_ls7e_ard_3-2-1_108083_2021-11-25_final
2021-12-07 10:25:40	ga_ls7e_ard_3-2-1_112083_2021-12-07_final
2021-12-16 08:38:57	ga_ls7e_ard_3-2-1_095081_2021-12-15_final
2021-12-23 08:40:04	ga_ls7e_ard_3-2-1_096070_2021-12-22_final
2021-12-29 09:40:52	ga_ls7e_ard_3-2-1_106069_2021-12-29_final
2021-12-29 09:41:16	ga_ls7e_ard_3-2-1_106070_2021-12-29_final
2021-12-29 09:41:40	ga_ls7e_ard_3-2-1_106071_2021-12-29_final
2022-01-03 08:26:24	ga_ls7e_ard_3-2-1_093085_2022-01-02_final
2022-01-04 09:08:21	ga_ls7e_ard_3-2-1_100082_2022-01-03_final
2022-02-20 09:55:46	ga_ls7e_ard_3-2-1_109073_2022-02-20_final
2022-03-24 09:51:27	ga_ls7e_ard_3-2-1_109070_2022-03-24_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