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
2000-05-12 09:44:31	ga_ls7e_ard_3-0-0_095087_2000-05-12_final
2000-08-15 08:58:13	ga_ls7e_ard_3-0-0_088082_2000-08-14_final
2001-07-02 09:41:21	ga_ls7e_ard_3-0-0_095086_2001-07-02_final
2001-08-19 09:35:37	ga_ls7e_ard_3-1-0_095073_2001-08-19_final
2001-12-09 09:35:00	ga_ls7e_ard_3-0-0_095072_2001-12-09_final
2001-12-09 09:35:23	ga_ls7e_ard_3-1-0_095073_2001-12-09_final
2002-03-15 09:40:27	ga_ls7e_ard_3-0-0_095085_2002-03-15_final
2003-01-13 09:40:48	ga_ls7e_ard_3-0-0_095087_2003-01-13_final
2004-01-16 09:39:20	ga_ls7e_ard_3-0-0_095082_2004-01-16_final
2004-09-12 09:40:15	ga_ls7e_ard_3-0-0_095085_2004-09-12_final
2005-02-19 09:39:37	ga_ls7e_ard_3-0-0_095081_2005-02-19_final
2005-04-24 09:39:56	ga_ls7e_ard_3-0-0_095082_2005-04-24_final
2005-06-11 09:39:52	ga_ls7e_ard_3-0-0_095082_2005-06-11_final
2005-10-17 09:39:08	ga_ls7e_ard_3-0-0_095081_2005-10-17_final
2005-11-02 09:36:33	ga_ls7e_ard_3-0-0_095074_2005-11-02_final
2006-02-06 09:41:13	ga_ls7e_ard_3-0-0_095084_2006-02-06_final
2006-03-10 09:38:54	ga_ls7e_ard_3-0-0_095078_2006-03-10_final
2006-04-11 09:40:26	ga_ls7e_ard_3-0-0_095082_2006-04-11_final
2007-01-24 09:37:52	ga_ls7e_ard_3-0-0_095075_2007-01-24_final
2007-02-09 09:41:35	ga_ls7e_ard_3-0-0_095084_2007-02-09_final
2007-10-07 09:42:04	ga_ls7e_ard_3-0-0_095087_2007-10-07_final
2008-01-11 09:42:21	ga_ls7e_ard_3-0-0_095086_2008-01-11_final
2008-08-22 09:36:19	ga_ls7e_ard_3-0-0_095074_2008-08-22_final
2008-09-23 09:39:37	ga_ls7e_ard_3-0-0_095083_2008-09-23_final
2008-12-28 09:41:11	ga_ls7e_ard_3-0-0_095085_2008-12-28_final
2009-04-03 09:42:40	ga_ls7e_ard_3-0-0_095087_2009-04-03_final
2009-05-21 09:40:26	ga_ls7e_ard_3-0-0_095081_2009-05-21_final
2009-07-08 09:39:57	ga_ls7e_ard_3-0-0_095080_2009-07-08_final
2009-10-28 09:41:56	ga_ls7e_ard_3-0-0_095085_2009-10-28_final
2009-11-13 09:37:23	ga_ls7e_ard_3-1-0_095073_2009-11-13_final
2009-11-29 09:41:58	ga_ls7e_ard_3-0-0_095084_2009-11-29_final
2010-01-16 09:43:07	ga_ls7e_ard_3-0-0_095085_2010-01-16_final
2010-02-17 09:43:55	ga_ls7e_ard_3-0-0_095086_2010-02-17_final
2010-03-21 09:40:10	ga_ls7e_ard_3-0-0_095076_2010-03-21_final
2010-07-11 09:43:24	ga_ls7e_ard_3-0-0_095084_2010-07-11_final
2010-08-12 09:41:48	ga_ls7e_ard_3-0-0_095080_2010-08-12_final
2010-12-02 09:44:06	ga_ls7e_ard_3-0-0_095084_2010-12-02_final
2011-01-03 09:44:23	ga_ls7e_ard_3-0-0_095084_2011-01-03_final
2011-05-11 09:44:47	ga_ls7e_ard_3-0-0_095084_2011-05-11_final
2011-12-05 09:45:45	ga_ls7e_ard_3-0-0_095086_2011-12-05_final
2012-10-20 09:42:11	ga_ls7e_ard_3-0-0_095072_2012-10-20_final
2013-01-08 09:48:09	ga_ls7e_ard_3-0-0_095086_2013-01-08_final
2013-03-29 09:42:51	ga_ls7e_ard_3-1-0_095073_2013-03-29_final
2013-07-03 09:41:54	ga_ls7e_ard_3-0-0_095072_2013-07-03_final
2013-09-04 09:02:39	ga_ls7e_ard_3-0-0_088082_2013-09-03_final
2014-04-17 09:49:05	ga_ls7e_ard_3-0-0_095086_2014-04-17_final
2015-08-26 09:50:14	ga_ls7e_ard_3-0-0_095082_2015-08-26_final
2016-06-25 09:53:45	ga_ls7e_ard_3-0-0_095084_2016-06-25_final
2017-03-24 09:54:12	ga_ls7e_ard_3-0-0_095086_2017-03-24_final
2017-05-27 09:54:07	ga_ls7e_ard_3-0-0_095085_2017-05-27_final
2017-09-16 09:49:23	ga_ls7e_ard_3-1-0_095073_2017-09-16_final
2017-09-16 09:54:10	ga_ls7e_ard_3-0-0_095085_2017-09-16_final
2018-01-22 09:52:39	ga_ls7e_ard_3-0-0_095083_2018-01-22_final
2018-02-07 09:48:47	ga_ls7e_ard_3-0-0_095074_2018-02-07_final
2018-09-19 09:48:14	ga_ls7e_ard_3-0-0_095082_2018-09-19_final
2018-12-24 09:47:04	ga_ls7e_ard_3-0-0_095085_2018-12-24_final
2019-06-18 09:41:06	ga_ls7e_ard_3-0-0_095085_2019-06-18_final
2019-09-22 09:37:58	ga_ls7e_ard_3-1-0_095087_2019-09-22_final
2019-10-08 09:35:42	ga_ls7e_ard_3-1-0_095083_2019-10-08_final
2019-10-08 09:36:06	ga_ls7e_ard_3-1-0_095084_2019-10-08_final
2019-12-11 09:32:46	ga_ls7e_ard_3-1-0_095083_2019-12-11_final
2020-01-12 09:31:32	ga_ls7e_ard_3-1-0_095084_2020-01-12_final
2020-02-13 09:29:55	ga_ls7e_ard_3-1-0_095084_2020-02-12_final
2020-06-20 09:18:35	ga_ls7e_ard_3-1-0_095074_2020-06-19_final
2021-01-21 09:14:27	ga_ls7e_ard_3-2-0_096084_2021-01-20_final
2021-02-16 09:45:13	ga_ls7e_ard_3-2-0_102073_2021-02-16_final
2021-02-20 11:01:52	ga_ls7e_ard_3-2-0_114080_2021-02-20_final
2021-02-26 08:47:51	ga_ls7e_ard_3-2-0_092086_2021-02-25_final
2021-02-26 10:24:20	ga_ls7e_ard_3-2-0_108080_2021-02-26_final
2021-02-26 10:25:08	ga_ls7e_ard_3-2-0_108082_2021-02-26_final
2021-02-28 10:09:26	ga_ls7e_ard_3-2-0_106074_2021-02-28_final
2021-03-01 09:12:32	ga_ls7e_ard_3-2-0_097071_2021-02-28_final
2021-03-08 10:58:38	ga_ls7e_ard_3-2-0_114075_2021-03-08_final
2021-03-12 10:33:12	ga_ls7e_ard_3-2-0_110074_2021-03-12_final
2021-03-15 11:03:52	ga_ls7e_ard_3-2-0_115074_2021-03-15_final
2021-03-16 10:10:34	ga_ls7e_ard_3-2-0_106080_2021-03-16_final
2021-03-23 10:14:11	ga_ls7e_ard_3-2-0_107075_2021-03-23_final
2021-03-28 10:31:31	ga_ls7e_ard_3-2-0_110073_2021-03-28_final
2021-04-03 09:57:33	ga_ls7e_ard_3-2-0_104082_2021-04-03_final
2021-04-25 09:16:37	ga_ls7e_ard_3-2-0_098077_2021-04-24_final
2021-04-27 09:02:29	ga_ls7e_ard_3-2-0_096073_2021-04-26_final
2021-04-30 09:34:20	ga_ls7e_ard_3-2-0_101076_2021-04-30_final
2021-05-10 10:08:36	ga_ls7e_ard_3-2-0_107071_2021-05-10_final
2021-05-11 09:12:29	ga_ls7e_ard_3-2-0_098070_2021-05-10_final
2021-05-12 08:21:59	ga_ls7e_ard_3-2-0_089083_2021-05-11_final
2021-05-15 10:27:55	ga_ls7e_ard_3-2-0_110074_2021-05-15_final
2021-05-17 10:14:11	ga_ls7e_ard_3-2-0_108071_2021-05-17_final
2021-05-20 10:48:25	ga_ls7e_ard_3-2-0_113080_2021-05-20_final
2021-05-26 10:07:14	ga_ls7e_ard_3-2-0_107071_2021-05-26_final
2021-05-27 09:14:43	ga_ls7e_ard_3-2-0_098079_2021-05-26_final
2021-05-28 09:55:54	ga_ls7e_ard_3-2-0_105074_2021-05-28_final
2021-05-29 08:58:36	ga_ls7e_ard_3-2-0_096070_2021-05-28_final
2021-05-31 10:28:32	ga_ls7e_ard_3-2-0_110079_2021-05-31_final
2021-06-20 09:59:47	ga_ls7e_ard_3-2-0_106073_2021-06-20_final
2021-06-29 09:56:03	ga_ls7e_ard_3-2-0_105081_2021-06-29_final
2021-07-02 10:22:42	ga_ls7e_ard_3-2-0_110071_2021-07-02_final
2021-07-07 09:05:08	ga_ls7e_ard_3-2-0_097079_2021-07-06_final
2021-07-09 10:28:42	ga_ls7e_ard_3-2-0_111072_2021-07-09_final
2021-07-14 09:06:44	ga_ls7e_ard_3-2-0_098069_2021-07-13_final
2021-07-23 10:43:03	ga_ls7e_ard_3-2-0_113080_2021-07-23_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