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
2001-05-15 09:34:17	ga_ls7e_ard_3-0-0_095067_2001-05-15_final
2002-01-22 11:41:16	ga_ls7e_ard_3-0-0_115078_2002-01-22_final
2002-04-23 11:23:49	ga_ls7e_ard_3-0-0_112081_2002-04-23_final
2003-10-17 11:34:50	ga_ls7e_ard_3-0-0_114079_2003-10-17_final
2004-08-09 11:27:15	ga_ls7e_ard_3-0-0_113074_2004-08-09_final
2004-10-05 11:20:49	ga_ls7e_ard_3-0-0_112074_2004-10-05_final
2004-12-06 11:30:59	ga_ls7e_ard_3-0-0_114067_2004-12-06_final
2005-06-18 11:24:53	ga_ls7e_ard_3-0-0_112082_2005-06-18_final
2005-06-27 09:39:00	ga_ls7e_ard_3-0-0_095080_2005-06-27_final
2005-10-15 11:24:46	ga_ls7e_ard_3-0-0_113067_2005-10-15_final
2006-01-28 11:23:26	ga_ls7e_ard_3-1-0_112077_2006-01-28_final
2006-10-09 11:34:00	ga_ls7e_ard_3-0-0_114074_2006-10-09_final
2006-12-07 09:42:31	ga_ls7e_ard_3-0-0_095087_2006-12-07_final
2007-01-24 09:37:52	ga_ls7e_ard_3-0-0_095075_2007-01-24_final
2007-06-13 11:41:28	ga_ls7e_ard_3-0-0_115075_2007-06-13_final
2007-07-08 11:35:15	ga_ls7e_ard_3-0-0_114075_2007-07-08_final
2007-07-10 11:24:05	ga_ls7e_ard_3-0-0_112078_2007-07-10_final
2008-01-16 11:35:23	ga_ls7e_ard_3-0-0_114075_2008-01-16_final
2008-02-12 09:40:41	ga_ls7e_ard_3-0-0_095082_2008-02-12_final
2008-03-29 11:32:11	ga_ls7e_ard_3-0-0_113083_2008-03-29_final
2008-06-24 11:34:16	ga_ls7e_ard_3-0-0_114074_2008-06-24_final
2008-08-18 11:41:33	ga_ls7e_ard_3-0-0_115078_2008-08-18_final
2008-09-23 09:35:14	ga_ls7e_ard_3-0-0_095072_2008-09-23_final
2009-01-02 11:34:39	ga_ls7e_ard_3-0-0_114075_2009-01-02_final
2009-01-18 11:36:20	ga_ls7e_ard_3-0-0_114079_2009-01-18_final
2009-02-14 09:42:17	ga_ls7e_ard_3-0-0_095087_2009-02-14_final
2009-03-25 11:26:29	ga_ls7e_ard_3-0-0_112084_2009-03-25_final
2009-05-05 09:34:49	ga_ls7e_ard_3-0-0_095067_2009-05-05_final
2009-07-20 11:41:30	ga_ls7e_ard_3-0-0_115075_2009-07-20_final
2009-07-29 11:35:17	ga_ls7e_ard_3-0-0_114075_2009-07-29_final
2009-08-25 09:40:34	ga_ls7e_ard_3-0-0_095082_2009-08-25_final
2009-12-04 11:38:15	ga_ls7e_ard_3-0-0_114081_2009-12-04_final
2009-12-11 11:41:43	ga_ls7e_ard_3-0-0_115074_2009-12-11_final
2010-01-28 11:42:54	ga_ls7e_ard_3-0-0_115075_2010-01-28_final
2010-02-17 09:42:19	ga_ls7e_ard_3-0-0_095082_2010-02-17_final
2010-03-05 11:21:21	ga_ls7e_ard_3-1-0_111082_2010-03-05_final
2010-06-21 11:42:58	ga_ls7e_ard_3-0-0_115074_2010-06-21_final
2010-10-13 11:34:24	ga_ls7e_ard_3-0-0_113083_2010-10-13_final
2010-12-16 11:34:40	ga_ls7e_ard_3-0-0_113082_2010-12-16_final
2012-05-13 11:24:47	ga_ls7e_ard_3-0-0_111084_2012-05-13_final
2012-07-21 11:36:41	ga_ls7e_ard_3-0-0_114067_2012-07-21_final
2012-10-18 11:37:48	ga_ls7e_ard_3-0-0_113083_2012-10-18_final
2013-01-06 11:36:36	ga_ls7e_ard_3-0-0_113079_2013-01-06_final
2013-06-01 09:42:57	ga_ls7e_ard_3-0-0_095074_2013-06-01_final
2013-12-01 11:31:22	ga_ls7e_ard_3-0-0_112081_2013-12-01_final
2014-05-26 11:26:50	ga_ls7e_ard_3-0-0_112067_2014-05-26_final
2014-08-03 11:48:27	ga_ls7e_ard_3-0-0_115074_2014-08-03_final
2015-03-17 11:34:38	ga_ls7e_ard_3-0-0_113067_2015-03-17_final
2015-09-09 11:41:56	ga_ls7e_ard_3-0-0_113083_2015-09-09_final
2015-12-07 11:30:30	ga_ls7e_ard_3-0-0_112067_2015-12-07_final
2016-08-10 11:41:04	ga_ls7e_ard_3-0-0_113074_2016-08-10_final
2017-01-19 09:54:05	ga_ls7e_ard_3-0-0_095086_2017-01-19_final
2017-06-28 11:32:20	ga_ls7e_ard_3-0-0_111083_2017-06-28_final
2017-07-28 11:41:05	ga_ls7e_ard_3-0-0_113074_2017-07-28_final
2017-08-22 11:38:04	ga_ls7e_ard_3-0-0_112082_2017-08-22_final
2017-10-16 11:42:40	ga_ls7e_ard_3-0-0_113078_2017-10-16_final
2018-03-23 11:52:18	ga_ls7e_ard_3-0-0_115075_2018-03-23_final
2018-04-24 11:52:35	ga_ls7e_ard_3-0-0_115077_2018-04-24_final
2018-06-06 11:34:56	ga_ls7e_ard_3-0-0_112081_2018-06-06_final
2018-06-20 11:44:14	ga_ls7e_ard_3-0-0_114074_2018-06-20_final
2018-09-19 09:49:49	ga_ls7e_ard_3-0-0_095086_2018-09-19_final
2019-01-23 11:33:23	ga_ls7e_ard_3-0-0_113075_2019-01-23_final
2019-04-15 09:43:53	ga_ls7e_ard_3-0-0_095086_2019-04-15_final
2019-05-22 11:37:29	ga_ls7e_ard_3-0-0_114080_2019-05-22_final
2019-10-29 11:31:26	ga_ls7e_ard_3-1-0_114081_2019-10-29_final
2019-12-25 11:23:18	ga_ls7e_ard_3-1-0_113083_2019-12-25_final
2020-02-13 09:25:08	ga_ls7e_ard_3-1-0_095072_2020-02-12_final
2020-04-24 11:10:39	ga_ls7e_ard_3-1-0_112083_2020-04-24_final
2020-07-18 11:21:42	ga_ls7e_ard_3-1-0_115077_2020-07-18_final
2020-09-22 11:01:06	ga_ls7e_ard_3-1-0_113067_2020-09-22_final
2021-02-21 10:03:47	ga_ls7e_ard_3-2-0_105074_2021-02-21_final
2021-04-08 10:12:29	ga_ls7e_ard_3-2-0_107074_2021-04-08_final
2021-04-09 09:15:35	ga_ls7e_ard_3-2-0_098071_2021-04-08_final
2021-05-09 09:25:25	ga_ls7e_ard_3-2-0_100071_2021-05-08_final
2021-05-13 09:05:09	ga_ls7e_ard_3-2-0_096083_2021-05-12_final
2021-05-15 10:28:18	ga_ls7e_ard_3-2-0_110075_2021-05-15_final
2021-05-25 09:25:15	ga_ls7e_ard_3-2-0_100074_2021-05-24_final
2021-06-04 08:26:36	ga_ls7e_ard_3-2-0_090084_2021-06-03_final
2021-06-07 08:57:15	ga_ls7e_ard_3-2-0_095084_2021-06-06_final
2021-06-15 09:44:27	ga_ls7e_ard_3-2-0_103080_2021-06-15_final
2021-06-19 10:57:05	ga_ls7e_ard_3-2-0_115077_2021-06-19_final
2021-07-15 08:17:49	ga_ls7e_ard_3-2-0_089086_2021-07-14_final
2021-07-16 10:39:04	ga_ls7e_ard_3-2-0_112084_2021-07-16_final
2021-07-31 08:14:26	ga_ls7e_ard_3-2-0_089081_2021-07-30_final
2021-08-29 09:16:16	ga_ls7e_ard_3-2-0_100072_2021-08-28_final
2021-09-06 10:05:25	ga_ls7e_ard_3-2-0_108073_2021-09-06_final
2021-09-14 09:14:28	ga_ls7e_ard_3-2-0_100071_2021-09-13_final
2021-09-16 09:00:44	ga_ls7e_ard_3-2-0_098068_2021-09-15_final
2021-09-16 09:05:07	ga_ls7e_ard_3-2-0_098079_2021-09-15_final
2021-10-11 10:36:48	ga_ls7e_ard_3-2-0_113082_2021-10-11_final
2021-11-04 08:05:54	ga_ls7e_ard_3-2-0_089081_2021-11-03_final
2021-11-08 09:18:52	ga_ls7e_ard_3-2-0_101079_2021-11-07_final
2021-11-15 09:19:59	ga_ls7e_ard_3-2-1_102068_2021-11-14_final
2021-11-16 10:09:32	ga_ls7e_ard_3-2-1_109084_2021-11-16_final
2021-12-03 09:12:17	ga_ls7e_ard_3-2-1_100084_2021-12-02_final
2022-02-07 08:53:06	ga_ls7e_ard_3-2-1_098083_2022-02-06_final
2022-02-07 10:28:23	ga_ls7e_ard_3-2-1_114074_2022-02-07_final
2022-02-27 10:02:29	ga_ls7e_ard_3-2-1_110076_2022-02-27_final
2022-03-06 08:27:54	ga_ls7e_ard_3-2-1_095073_2022-03-05_final
2022-03-12 09:31:30	ga_ls7e_ard_3-2-1_105079_2022-03-12_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