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
1999-12-04 09:39:39	ga_ls7e_ard_3-1-0_095073_1999-12-04_final
2000-01-28 11:25:04	ga_ls7e_ard_3-0-0_112074_2000-01-28_final
2002-02-27 09:35:22	ga_ls7e_ard_3-0-0_095072_2002-02-27_final
2002-06-24 11:33:04	ga_ls7e_ard_3-0-0_114074_2002-06-24_final
2002-06-26 11:20:41	ga_ls7e_ard_3-0-0_112074_2002-06-26_final
2002-09-12 11:33:44	ga_ls7e_ard_3-0-0_114077_2002-09-12_final
2002-09-21 11:29:25	ga_ls7e_ard_3-0-0_113082_2002-09-21_final
2003-07-22 11:30:34	ga_ls7e_ard_3-0-0_113083_2003-07-22_final
2003-08-05 11:39:59	ga_ls7e_ard_3-0-0_115076_2003-08-05_final
2003-12-13 11:30:00	ga_ls7e_ard_3-0-0_113081_2003-12-13_final
2004-09-01 11:35:22	ga_ls7e_ard_3-0-0_114079_2004-09-01_final
2005-06-07 11:41:07	ga_ls7e_ard_3-0-0_115076_2005-06-07_final
2005-06-11 09:39:28	ga_ls7e_ard_3-0-0_095081_2005-06-11_final
2005-06-11 09:40:16	ga_ls7e_ard_3-0-0_095083_2005-06-11_final
2005-08-14 11:18:37	ga_ls7e_ard_3-1-0_111082_2005-08-14_final
2005-10-15 11:29:57	ga_ls7e_ard_3-0-0_113080_2005-10-15_final
2005-12-09 11:36:38	ga_ls7e_ard_3-0-0_114080_2005-12-09_final
2006-06-14 09:37:36	ga_ls7e_ard_3-0-0_095075_2006-06-14_final
2006-06-30 09:40:18	ga_ls7e_ard_3-0-0_095082_2006-06-30_final
2006-08-15 11:25:19	ga_ls7e_ard_3-0-0_113067_2006-08-15_final
2006-11-21 11:19:16	ga_ls7e_ard_3-1-0_111082_2006-11-21_final
2006-11-26 11:36:16	ga_ls7e_ard_3-0-0_114078_2006-11-26_final
2007-04-28 11:28:55	ga_ls7e_ard_3-0-0_113074_2007-04-28_final
2007-09-12 11:23:41	ga_ls7e_ard_3-0-0_112078_2007-09-12_final
2007-12-15 11:35:20	ga_ls7e_ard_3-0-0_114075_2007-12-15_final
2008-02-28 11:19:53	ga_ls7e_ard_3-0-0_111083_2008-02-28_final
2009-03-18 09:41:46	ga_ls7e_ard_3-0-0_095085_2009-03-18_final
2009-05-12 11:26:17	ga_ls7e_ard_3-0-0_112083_2009-05-12_final
2009-07-24 11:20:21	ga_ls7e_ard_3-0-0_111084_2009-07-24_final
2009-08-09 09:41:23	ga_ls7e_ard_3-0-0_095084_2009-08-09_final
2009-08-30 11:34:48	ga_ls7e_ard_3-0-0_114074_2009-08-30_final
2009-09-10 09:39:46	ga_ls7e_ard_3-0-0_095080_2009-09-10_final
2010-07-16 11:39:14	ga_ls7e_ard_3-0-0_114080_2010-07-16_final
2011-04-25 09:45:36	ga_ls7e_ard_3-0-0_095086_2011-04-25_final
2011-04-25 11:22:53	ga_ls7e_ard_3-1-0_111082_2011-04-25_final
2011-08-20 11:38:25	ga_ls7e_ard_3-0-0_114075_2011-08-20_final
2012-01-18 11:46:01	ga_ls7e_ard_3-1-0_115077_2012-01-18_final
2012-08-06 11:40:27	ga_ls7e_ard_3-0-0_114076_2012-08-06_final
2012-12-21 11:34:34	ga_ls7e_ard_3-0-0_113074_2012-12-21_final
2013-05-16 11:25:33	ga_ls7e_ard_3-0-0_111083_2013-05-16_final
2013-08-20 09:47:44	ga_ls7e_ard_3-0-0_095087_2013-08-20_final
2013-11-06 11:36:10	ga_ls7e_ard_3-0-0_113078_2013-11-06_final
2014-03-16 11:26:09	ga_ls7e_ard_3-1-0_111082_2014-03-16_final
2014-04-29 11:48:25	ga_ls7e_ard_3-0-0_115075_2014-04-29_final
2014-09-06 11:36:06	ga_ls7e_ard_3-0-0_113074_2014-09-06_final
2014-09-22 11:40:10	ga_ls7e_ard_3-0-0_113084_2014-09-22_final
2014-10-15 11:42:36	ga_ls7e_ard_3-0-0_114074_2014-10-15_final
2015-05-04 11:40:58	ga_ls7e_ard_3-0-0_113082_2015-05-04_final
2015-10-09 11:52:05	ga_ls7e_ard_3-0-0_115077_2015-10-09_final
2016-10-29 11:43:55	ga_ls7e_ard_3-0-0_113081_2016-10-29_final
2016-12-30 11:53:08	ga_ls7e_ard_3-0-0_115074_2016-12-30_final
2017-01-10 11:35:16	ga_ls7e_ard_3-0-0_112076_2017-01-10_final
2017-02-04 09:51:35	ga_ls7e_ard_3-0-0_095080_2017-02-04_final
2017-04-05 11:53:28	ga_ls7e_ard_3-0-0_115075_2017-04-05_final
2017-05-27 11:32:12	ga_ls7e_ard_3-0-0_111083_2017-05-27_final
2017-12-17 11:54:21	ga_ls7e_ard_3-1-0_115077_2017-12-17_final
2018-01-06 09:54:05	ga_ls7e_ard_3-0-0_095086_2018-01-06_final
2018-01-22 09:51:51	ga_ls7e_ard_3-0-0_095081_2018-01-22_final
2018-02-07 09:53:59	ga_ls7e_ard_3-0-0_095087_2018-02-07_final
2018-03-02 11:34:02	ga_ls7e_ard_3-0-0_112075_2018-03-02_final
2018-05-14 09:50:38	ga_ls7e_ard_3-0-0_095082_2018-05-14_final
2018-07-06 11:44:43	ga_ls7e_ard_3-0-0_114076_2018-07-06_final
2018-07-13 11:51:10	ga_ls7e_ard_3-0-0_115077_2018-07-13_final
2018-11-02 11:48:01	ga_ls7e_ard_3-0-0_115075_2018-11-02_final
2019-04-04 11:36:54	ga_ls7e_ard_3-0-0_114074_2019-04-04_final
2019-05-22 11:36:17	ga_ls7e_ard_3-0-0_114077_2019-05-22_final
2019-07-11 11:24:29	ga_ls7e_ard_3-0-0_112083_2019-07-11_final
2019-08-21 09:31:23	ga_ls7e_ard_3-0-0_095067_2019-08-21_final
2019-09-29 11:18:20	ga_ls7e_ard_3-1-0_112076_2019-09-29_final
2019-12-09 11:24:07	ga_ls7e_ard_3-1-0_113083_2019-12-09_final
2020-01-08 11:31:20	ga_ls7e_ard_3-1-0_115074_2020-01-08_final
2020-06-04 11:01:35	ga_ls7e_ard_3-1-0_111082_2020-06-04_final
2021-02-24 10:37:39	ga_ls7e_ard_3-2-0_110082_2021-02-24_final
2021-02-28 10:09:26	ga_ls7e_ard_3-2-0_106074_2021-02-28_final
2021-03-09 10:00:57	ga_ls7e_ard_3-2-0_105070_2021-03-09_final
2021-04-06 10:28:36	ga_ls7e_ard_3-2-0_109083_2021-04-06_final
2021-04-13 08:51:19	ga_ls7e_ard_3-2-0_094073_2021-04-12_final
2021-04-25 09:14:37	ga_ls7e_ard_3-2-0_098072_2021-04-24_final
2021-04-29 10:32:02	ga_ls7e_ard_3-2-0_110081_2021-04-29_final
2021-05-06 10:37:38	ga_ls7e_ard_3-2-0_111081_2021-05-06_final
2021-05-07 09:37:57	ga_ls7e_ard_3-2-0_102071_2021-05-07_final
2021-05-07 09:42:20	ga_ls7e_ard_3-2-0_102082_2021-05-07_final
2021-05-31 10:25:20	ga_ls7e_ard_3-2-0_110071_2021-05-31_final
2021-06-13 08:18:06	ga_ls7e_ard_3-2-0_089080_2021-06-12_final
2021-06-28 09:07:17	ga_ls7e_ard_3-2-0_098067_2021-06-27_final
2021-07-14 09:05:56	ga_ls7e_ard_3-2-0_098067_2021-07-13_final
2021-08-05 08:30:56	ga_ls7e_ard_3-2-0_092077_2021-08-04_final
2021-08-08 09:02:46	ga_ls7e_ard_3-2-0_097080_2021-08-07_final
2021-08-24 09:01:21	ga_ls7e_ard_3-2-0_097080_2021-08-23_final
2021-10-07 09:19:48	ga_ls7e_ard_3-2-0_101074_2021-10-06_final
2021-10-15 08:30:03	ga_ls7e_ard_3-2-0_093075_2021-10-14_final
2021-12-02 08:27:08	ga_ls7e_ard_3-2-1_093079_2021-12-01_final
2021-12-07 08:45:12	ga_ls7e_ard_3-2-1_096079_2021-12-06_final
2021-12-16 10:19:02	ga_ls7e_ard_3-2-1_111084_2021-12-16_final
2021-12-20 09:51:08	ga_ls7e_ard_3-2-1_107077_2021-12-20_final
2021-12-29 08:07:58	ga_ls7e_ard_3-2-1_090084_2021-12-28_final
2022-01-05 08:10:15	ga_ls7e_ard_3-2-1_091076_2022-01-04_final
2022-01-06 08:55:48	ga_ls7e_ard_3-2-1_098082_2022-01-05_final
2022-01-30 08:04:28	ga_ls7e_ard_3-2-1_090083_2022-01-29_final
2022-03-13 08:33:23	ga_ls7e_ard_3-2-1_096073_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