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
2000-04-26 09:43:55	ga_ls7e_ard_3-1-0_095085_2000-04-26_final
2001-01-07 09:37:38	ga_ls7e_ard_3-0-0_095074_2001-01-07_final
2001-02-24 09:34:47	ga_ls7e_ard_3-0-0_095067_2001-02-24_final
2001-03-08 11:42:20	ga_ls7e_ard_3-1-0_115077_2001-03-08_final
2001-05-15 09:37:04	ga_ls7e_ard_3-0-0_095074_2001-05-15_final
2002-02-11 09:38:54	ga_ls7e_ard_3-0-0_095081_2002-02-11_final
2002-02-11 09:40:30	ga_ls7e_ard_3-0-0_095085_2002-02-11_final
2002-04-16 09:40:22	ga_ls7e_ard_3-0-0_095085_2002-04-16_final
2002-04-28 11:41:37	ga_ls7e_ard_3-0-0_115079_2002-04-28_final
2002-07-01 11:40:26	ga_ls7e_ard_3-1-0_115077_2002-07-01_final
2002-12-24 11:39:08	ga_ls7e_ard_3-0-0_115074_2002-12-24_final
2003-03-18 09:35:55	ga_ls7e_ard_3-0-0_095074_2003-03-18_final
2003-04-19 09:39:08	ga_ls7e_ard_3-0-0_095082_2003-04-19_final
2003-05-21 09:35:04	ga_ls7e_ard_3-0-0_095072_2003-05-21_final
2003-09-22 11:39:00	ga_ls7e_ard_3-0-0_115074_2003-09-22_final
2003-10-28 09:39:35	ga_ls7e_ard_3-0-0_095084_2003-10-28_final
2004-04-10 11:35:02	ga_ls7e_ard_3-0-0_114077_2004-04-10_final
2004-10-14 09:35:47	ga_ls7e_ard_3-0-0_095074_2004-10-14_final
2004-10-30 09:38:26	ga_ls7e_ard_3-0-0_095080_2004-10-30_final
2004-12-17 09:37:13	ga_ls7e_ard_3-0-0_095076_2004-12-17_final
2005-04-13 11:31:25	ga_ls7e_ard_3-0-0_114067_2005-04-13_final
2005-10-06 11:34:02	ga_ls7e_ard_3-0-0_114075_2005-10-06_final
2006-08-06 11:34:43	ga_ls7e_ard_3-0-0_114075_2006-08-06_final
2006-09-02 09:39:12	ga_ls7e_ard_3-0-0_095080_2006-09-02_final
2006-10-09 11:35:59	ga_ls7e_ard_3-0-0_114079_2006-10-09_final
2007-11-08 09:37:39	ga_ls7e_ard_3-0-0_095075_2007-11-08_final
2008-02-12 09:41:05	ga_ls7e_ard_3-0-0_095083_2008-02-12_final
2008-07-17 11:42:10	ga_ls7e_ard_3-0-0_115079_2008-07-17_final
2009-04-03 09:41:28	ga_ls7e_ard_3-0-0_095084_2009-04-03_final
2009-11-02 11:36:39	ga_ls7e_ard_3-0-0_114078_2009-11-02_final
2010-05-08 09:42:09	ga_ls7e_ard_3-0-0_095081_2010-05-08_final
2010-09-18 11:38:07	ga_ls7e_ard_3-0-0_114077_2010-09-18_final
2010-10-04 11:37:16	ga_ls7e_ard_3-0-0_114075_2010-10-04_final
2011-03-29 11:39:49	ga_ls7e_ard_3-0-0_114078_2011-03-29_final
2011-05-11 09:41:11	ga_ls7e_ard_3-0-0_095075_2011-05-11_final
2011-06-17 11:38:36	ga_ls7e_ard_3-0-0_114075_2011-06-17_final
2011-08-04 11:40:28	ga_ls7e_ard_3-0-0_114080_2011-08-04_final
2011-09-05 11:38:22	ga_ls7e_ard_3-0-0_114075_2011-09-05_final
2011-10-02 09:40:52	ga_ls7e_ard_3-0-0_095075_2011-10-02_final
2012-04-23 11:46:14	ga_ls7e_ard_3-1-0_115077_2012-04-23_final
2012-04-27 09:43:33	ga_ls7e_ard_3-1-0_095079_2012-04-27_final
2012-05-29 09:45:17	ga_ls7e_ard_3-0-0_095083_2012-05-29_final
2012-10-09 11:43:03	ga_ls7e_ard_3-0-0_114081_2012-10-09_final
2014-01-16 11:41:37	ga_ls7e_ard_3-0-0_114075_2014-01-16_final
2014-01-27 09:48:23	ga_ls7e_ard_3-0-0_095085_2014-01-27_final
2014-06-16 11:49:48	ga_ls7e_ard_3-0-0_115078_2014-06-16_final
2015-03-08 11:45:30	ga_ls7e_ard_3-0-0_114079_2015-03-08_final
2015-03-24 11:44:52	ga_ls7e_ard_3-0-0_114077_2015-03-24_final
2015-06-28 11:44:39	ga_ls7e_ard_3-0-0_114075_2015-06-28_final
2015-11-14 09:49:29	ga_ls7e_ard_3-0-0_095078_2015-11-14_final
2016-06-09 09:52:08	ga_ls7e_ard_3-0-0_095080_2016-06-09_final
2016-08-17 11:48:27	ga_ls7e_ard_3-0-0_114077_2016-08-17_final
2016-09-02 11:47:19	ga_ls7e_ard_3-0-0_114074_2016-09-02_final
2016-11-16 09:52:56	ga_ls7e_ard_3-0-0_095082_2016-11-16_final
2017-04-09 09:49:30	ga_ls7e_ard_3-0-0_095074_2017-04-09_final
2018-02-12 11:48:10	ga_ls7e_ard_3-0-0_114079_2018-02-12_final
2018-03-11 09:52:51	ga_ls7e_ard_3-0-0_095085_2018-03-11_final
2018-11-22 09:40:45	ga_ls7e_ard_3-0-0_095067_2018-11-22_final
2019-07-20 09:39:28	ga_ls7e_ard_3-0-0_095084_2019-07-20_final
2019-10-04 11:37:04	ga_ls7e_ard_3-1-0_115077_2019-10-04_final
2019-10-08 09:32:06	ga_ls7e_ard_3-1-0_095074_2019-10-08_final
2019-11-14 11:29:06	ga_ls7e_ard_3-1-0_114077_2019-11-14_final
2019-11-25 09:29:58	ga_ls7e_ard_3-1-0_095074_2019-11-24_final
2019-11-25 09:32:22	ga_ls7e_ard_3-1-0_095080_2019-11-25_final
2020-09-13 11:13:04	ga_ls7e_ard_3-1-0_114080_2020-09-13_final
2021-02-20 09:23:00	ga_ls7e_ard_3-2-0_098080_2021-02-19_final
2021-03-01 10:53:00	ga_ls7e_ard_3-2-0_113075_2021-03-01_final
2021-03-05 08:51:06	ga_ls7e_ard_3-2-0_093080_2021-03-04_final
2021-03-26 10:47:38	ga_ls7e_ard_3-2-0_112082_2021-03-26_final
2021-04-15 08:43:35	ga_ls7e_ard_3-2-0_092085_2021-04-14_final
2021-04-17 10:04:21	ga_ls7e_ard_3-2-0_106071_2021-04-17_final
2021-04-25 10:55:54	ga_ls7e_ard_3-2-0_114078_2021-04-25_final
2021-05-01 08:38:14	ga_ls7e_ard_3-2-0_092075_2021-04-30_final
2021-05-01 08:39:50	ga_ls7e_ard_3-2-0_092079_2021-04-30_final
2021-05-06 08:58:45	ga_ls7e_ard_3-2-0_095081_2021-05-05_final
2021-06-02 10:13:12	ga_ls7e_ard_3-2-0_108072_2021-06-02_final
2021-06-05 09:04:59	ga_ls7e_ard_3-2-0_097072_2021-06-04_final
2021-06-07 10:35:44	ga_ls7e_ard_3-2-0_111083_2021-06-07_final
2021-06-10 09:23:55	ga_ls7e_ard_3-2-0_100074_2021-06-09_final
2021-06-12 09:13:48	ga_ls7e_ard_3-2-0_098080_2021-06-11_final
2021-06-15 09:40:51	ga_ls7e_ard_3-2-0_103071_2021-06-15_final
2021-07-19 09:26:50	ga_ls7e_ard_3-2-0_101074_2021-07-18_final
2021-09-03 09:35:34	ga_ls7e_ard_3-2-0_103075_2021-09-03_final
2021-09-04 08:43:28	ga_ls7e_ard_3-2-0_094084_2021-09-03_final
2021-09-19 09:34:57	ga_ls7e_ard_3-2-0_103077_2021-09-19_final
2021-10-17 09:59:59	ga_ls7e_ard_3-2-0_107084_2021-10-17_final
2021-10-30 09:27:06	ga_ls7e_ard_3-2-0_102082_2021-10-29_final
2021-11-05 08:49:03	ga_ls7e_ard_3-2-0_096081_2021-11-04_final
2021-11-22 09:25:52	ga_ls7e_ard_3-2-1_103069_2021-11-21_final
2021-12-11 09:55:47	ga_ls7e_ard_3-2-1_108071_2021-12-11_final
2022-01-03 08:26:48	ga_ls7e_ard_3-2-1_093086_2022-01-02_final
2022-01-14 08:04:25	ga_ls7e_ard_3-2-1_090079_2022-01-13_final
2022-01-15 08:47:35	ga_ls7e_ard_3-2-1_097079_2022-01-14_final
2022-01-23 09:36:39	ga_ls7e_ard_3-2-1_105080_2022-01-23_final
2022-01-30 08:02:52	ga_ls7e_ard_3-2-1_090079_2022-01-29_final
2022-02-06 08:09:09	ga_ls7e_ard_3-2-1_091081_2022-02-05_final
2022-02-14 08:58:09	ga_ls7e_ard_3-2-1_099082_2022-02-13_final
2022-03-24 09:55:51	ga_ls7e_ard_3-2-1_109081_2022-03-24_final
2022-03-31 09:59:22	ga_ls7e_ard_3-2-1_110076_2022-03-31_final
2022-04-04 07:56:10	ga_ls7e_ard_3-2-1_090078_2022-04-03_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