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
2002-12-12 11:13:55	ga_ls7e_ard_3-0-0_111073_2002-12-12_final
2002-12-26 11:26:47	ga_ls7e_ard_3-0-0_113074_2002-12-26_final
2002-12-28 11:14:50	ga_ls7e_ard_3-0-0_111075_2002-12-28_final
2003-03-18 11:14:24	ga_ls7e_ard_3-0-0_111073_2003-03-18_final
2003-11-04 11:24:15	ga_ls7e_ard_3-0-0_112083_2003-11-04_final
2004-04-21 11:15:11	ga_ls7e_ard_3-0-0_111074_2004-04-21_final
2004-05-14 11:21:27	ga_ls7e_ard_3-0-0_112074_2004-05-14_final
2004-07-10 11:14:17	ga_ls7e_ard_3-0-0_111072_2004-07-10_final
2004-11-27 11:40:17	ga_ls7e_ard_3-0-0_115075_2004-11-27_final
2005-02-08 11:34:10	ga_ls7e_ard_3-0-0_114074_2005-02-08_final
2005-09-11 11:41:29	ga_ls7e_ard_3-0-0_115078_2005-09-11_final
2005-09-15 11:14:21	ga_ls7e_ard_3-0-0_111072_2005-09-15_final
2006-06-28 11:28:22	ga_ls7e_ard_3-0-0_113074_2006-06-28_final
2006-11-10 11:36:29	ga_ls7e_ard_3-0-0_114079_2006-11-10_final
2006-11-17 11:41:57	ga_ls7e_ard_3-1-0_115077_2006-11-17_final
2007-04-12 11:32:33	ga_ls7e_ard_3-0-0_113083_2007-04-12_final
2007-06-13 11:41:28	ga_ls7e_ard_3-0-0_115075_2007-06-13_final
2007-07-17 11:28:38	ga_ls7e_ard_3-0-0_113074_2007-07-17_final
2007-10-05 11:31:41	ga_ls7e_ard_3-0-0_113083_2007-10-05_final
2008-06-08 11:36:50	ga_ls7e_ard_3-0-0_114080_2008-06-08_final
2008-10-21 11:39:35	ga_ls7e_ard_3-0-0_115074_2008-10-21_final
2008-12-12 11:15:33	ga_ls7e_ard_3-0-0_111074_2008-12-12_final
2009-02-12 11:28:19	ga_ls7e_ard_3-0-0_113074_2009-02-12_final
2009-05-19 11:28:53	ga_ls7e_ard_3-0-0_113074_2009-05-19_final
2009-08-14 11:34:48	ga_ls7e_ard_3-0-0_114074_2009-08-14_final
2010-04-04 11:33:51	ga_ls7e_ard_3-0-0_113082_2010-04-04_final
2010-09-09 11:44:41	ga_ls7e_ard_3-0-0_115078_2010-09-09_final
2010-12-09 11:25:14	ga_ls7e_ard_3-0-0_112074_2010-12-09_final
2011-11-10 11:25:47	ga_ls7e_ard_3-0-0_112074_2011-11-10_final
2012-05-29 11:20:11	ga_ls7e_ard_3-0-0_111073_2012-05-29_final
2012-10-16 11:48:32	ga_ls7e_ard_3-0-0_115079_2012-10-16_final
2012-12-28 11:40:47	ga_ls7e_ard_3-0-0_114074_2012-12-28_final
2013-01-24 11:21:29	ga_ls7e_ard_3-0-0_111072_2013-01-24_final
2014-01-11 11:21:45	ga_ls7e_ard_3-0-0_111072_2014-01-11_final
2014-02-08 11:47:41	ga_ls7e_ard_3-0-0_115074_2014-02-08_final
2014-06-09 11:44:26	ga_ls7e_ard_3-0-0_114080_2014-06-09_final
2014-06-27 11:29:44	ga_ls7e_ard_3-0-0_112074_2014-06-27_final
2014-07-04 11:39:57	ga_ls7e_ard_3-0-0_113084_2014-07-04_final
2014-10-10 11:23:38	ga_ls7e_ard_3-0-0_111073_2014-10-10_final
2015-01-14 11:24:15	ga_ls7e_ard_3-0-0_111073_2015-01-14_final
2015-07-07 11:38:08	ga_ls7e_ard_3-0-0_113074_2015-07-07_final
2015-08-22 11:52:15	ga_ls7e_ard_3-0-0_115078_2015-08-22_final
2015-08-26 11:25:32	ga_ls7e_ard_3-0-0_111073_2015-08-26_final
2015-10-25 11:51:10	ga_ls7e_ard_3-0-0_115074_2015-10-25_final
2015-12-07 11:36:53	ga_ls7e_ard_3-0-0_112083_2015-12-07_final
2016-01-06 11:46:31	ga_ls7e_ard_3-0-0_114075_2016-01-06_final
2016-01-17 11:27:44	ga_ls7e_ard_3-0-0_111074_2016-01-17_final
2016-02-14 11:54:40	ga_ls7e_ard_3-0-0_115079_2016-02-14_final
2016-02-23 11:48:29	ga_ls7e_ard_3-0-0_114079_2016-02-23_final
2016-03-17 11:52:55	ga_ls7e_ard_3-0-0_115074_2016-03-17_final
2016-10-13 11:45:11	ga_ls7e_ard_3-0-0_113084_2016-10-13_final
2016-10-15 11:32:49	ga_ls7e_ard_3-0-0_111084_2016-10-15_final
2016-12-23 11:47:01	ga_ls7e_ard_3-0-0_114074_2016-12-23_final
2017-09-16 11:28:16	ga_ls7e_ard_3-0-0_111073_2017-09-16_final
2017-10-30 11:55:26	ga_ls7e_ard_3-0-0_115079_2017-10-30_final
2017-11-03 11:28:19	ga_ls7e_ard_3-0-0_111073_2017-11-03_final
2019-02-10 11:20:04	ga_ls7e_ard_3-0-0_111074_2019-02-10_final
2019-06-18 11:14:48	ga_ls7e_ard_3-0-0_111072_2019-06-18_final
2019-11-21 11:35:21	ga_ls7e_ard_3-1-0_115078_2019-11-21_final
2019-11-30 11:29:56	ga_ls7e_ard_3-1-0_114081_2019-11-30_final
2020-06-27 11:03:14	ga_ls7e_ard_3-1-0_112074_2020-06-27_final
2020-11-07 11:14:51	ga_ls7e_ard_3-1-0_115078_2020-11-07_final
2020-12-22 10:38:17	ga_ls7e_ard_3-1-0_110072_2020-12-22_final
2020-12-23 09:42:35	ga_ls7e_ard_3-1-0_101072_2020-12-23_final
2020-12-26 10:13:41	ga_ls7e_ard_3-1-0_106073_2020-12-26_final
2021-01-02 08:45:18	ga_ls7e_ard_3-1-0_091085_2021-01-01_final
2021-01-04 08:32:24	ga_ls7e_ard_3-1-0_089084_2021-01-03_final
2021-02-04 09:19:24	ga_ls7e_ard_3-2-0_098068_2021-02-03_final
2021-02-11 09:29:27	ga_ls7e_ard_3-2-0_099079_2021-02-10_final
2021-02-17 10:28:48	ga_ls7e_ard_3-2-0_109074_2021-02-17_final
2021-02-21 10:04:11	ga_ls7e_ard_3-2-0_105075_2021-02-21_final
2021-02-25 09:42:21	ga_ls7e_ard_3-2-0_101083_2021-02-25_final
2021-03-01 10:55:24	ga_ls7e_ard_3-2-0_113081_2021-03-01_final
2021-03-14 10:19:06	ga_ls7e_ard_3-2-0_108070_2021-03-14_final
2021-03-15 11:05:52	ga_ls7e_ard_3-2-0_115079_2021-03-15_final
2021-04-10 08:25:04	ga_ls7e_ard_3-2-0_089084_2021-04-09_final
2021-05-01 08:43:02	ga_ls7e_ard_3-2-0_092087_2021-04-30_final
2021-05-03 08:26:31	ga_ls7e_ard_3-2-0_090077_2021-05-02_final
2021-05-04 10:50:34	ga_ls7e_ard_3-2-0_113082_2021-05-04_final
2021-05-04 10:50:58	ga_ls7e_ard_3-2-0_113083_2021-05-04_final
2021-05-12 10:00:03	ga_ls7e_ard_3-2-0_105081_2021-05-12_final
2021-06-02 08:39:31	ga_ls7e_ard_3-2-0_092085_2021-06-01_final
2021-06-04 10:03:53	ga_ls7e_ard_3-2-0_106080_2021-06-04_final
2021-07-02 10:27:54	ga_ls7e_ard_3-2-0_110084_2021-07-02_final
2021-07-06 08:21:10	ga_ls7e_ard_3-2-0_090077_2021-07-05_final
2021-07-07 09:07:32	ga_ls7e_ard_3-2-0_097085_2021-07-06_final
2021-07-16 10:38:40	ga_ls7e_ard_3-2-0_112083_2021-07-16_final
2021-07-21 10:53:11	ga_ls7e_ard_3-2-0_115074_2021-07-21_final
2021-07-31 08:12:50	ga_ls7e_ard_3-2-0_089077_2021-07-30_final
2021-08-06 09:16:54	ga_ls7e_ard_3-2-0_099084_2021-08-05_final
2021-08-07 08:18:23	ga_ls7e_ard_3-2-0_090077_2021-08-06_final
2021-08-21 10:05:12	ga_ls7e_ard_3-2-0_108069_2021-08-21_final
2021-10-06 08:33:50	ga_ls7e_ard_3-2-0_094067_2021-10-05_final
2021-10-10 08:12:45	ga_ls7e_ard_3-2-0_090077_2021-10-09_final
2021-10-20 08:51:44	ga_ls7e_ard_3-2-0_096084_2021-10-19_final
2021-11-11 08:14:12	ga_ls7e_ard_3-2-0_090088_2021-11-10_final
2021-11-11 09:45:53	ga_ls7e_ard_3-2-0_106070_2021-11-11_final
2021-12-04 09:52:16	ga_ls7e_ard_3-2-1_107076_2021-12-04_final
2021-12-12 09:03:16	ga_ls7e_ard_3-2-1_099079_2021-12-11_final
2021-12-13 09:45:14	ga_ls7e_ard_3-2-1_106076_2021-12-13_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years