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
1999-10-01 09:43:25	ga_ls7e_ard_3-0-0_095082_1999-10-01_final
2000-12-29 11:26:42	ga_ls7e_ard_3-0-0_112084_2000-12-29_final
2002-02-23 11:41:18	ga_ls7e_ard_3-0-0_115078_2002-02-23_final
2003-10-01 11:32:48	ga_ls7e_ard_3-0-0_114074_2003-10-01_final
2004-06-08 09:40:40	ga_ls7e_ard_3-0-0_095085_2004-06-08_final
2004-10-30 09:36:02	ga_ls7e_ard_3-0-0_095074_2004-10-30_final
2005-02-01 11:28:19	ga_ls7e_ard_3-0-0_113075_2005-02-01_final
2005-03-05 11:28:08	ga_ls7e_ard_3-0-0_113074_2005-03-05_final
2005-04-08 09:42:00	ga_ls7e_ard_3-0-0_095087_2005-04-08_final
2005-05-01 11:21:51	ga_ls7e_ard_3-0-0_112074_2005-05-01_final
2005-08-30 11:15:18	ga_ls7e_ard_3-0-0_111074_2005-08-30_final
2006-01-03 11:28:13	ga_ls7e_ard_3-0-0_113074_2006-01-03_final
2006-06-30 11:16:00	ga_ls7e_ard_3-0-0_111074_2006-06-30_final
2006-09-02 09:41:36	ga_ls7e_ard_3-0-0_095086_2006-09-02_final
2007-02-25 11:16:57	ga_ls7e_ard_3-0-0_111075_2007-02-25_final
2007-03-25 11:42:08	ga_ls7e_ard_3-0-0_115076_2007-03-25_final
2007-05-12 11:41:12	ga_ls7e_ard_3-0-0_115074_2007-05-12_final
2007-08-16 11:41:14	ga_ls7e_ard_3-0-0_115075_2007-08-16_final
2008-01-07 11:41:34	ga_ls7e_ard_3-0-0_115075_2008-01-07_final
2008-01-25 11:31:35	ga_ls7e_ard_3-0-0_113081_2008-01-25_final
2008-06-26 11:21:53	ga_ls7e_ard_3-0-0_112074_2008-06-26_final
2008-07-12 11:21:42	ga_ls7e_ard_3-0-0_112074_2008-07-12_final
2008-10-23 11:24:28	ga_ls7e_ard_3-0-0_113067_2008-10-23_final
2009-04-03 09:42:40	ga_ls7e_ard_3-0-0_095087_2009-04-03_final
2009-07-08 09:42:45	ga_ls7e_ard_3-0-0_095087_2009-07-08_final
2009-08-25 09:41:46	ga_ls7e_ard_3-0-0_095085_2009-08-25_final
2010-02-15 11:33:57	ga_ls7e_ard_3-0-0_113083_2010-02-15_final
2011-03-04 11:45:09	ga_ls7e_ard_3-0-0_115076_2011-03-04_final
2011-04-09 11:20:54	ga_ls7e_ard_3-0-0_111077_2011-04-09_final
2011-09-14 11:28:56	ga_ls7e_ard_3-0-0_113067_2011-09-14_final
2012-01-27 11:41:02	ga_ls7e_ard_3-0-0_114080_2012-01-27_final
2012-03-10 09:45:16	ga_ls7e_ard_3-0-0_095084_2012-03-10_final
2012-04-27 11:23:14	ga_ls7e_ard_3-0-0_111081_2012-04-27_final
2012-06-21 11:29:31	ga_ls7e_ard_3-0-0_112081_2012-06-21_final
2012-10-02 11:34:03	ga_ls7e_ard_3-0-0_113074_2012-10-02_final
2012-11-05 11:24:19	ga_ls7e_ard_3-0-0_111080_2012-11-05_final
2013-04-12 11:36:28	ga_ls7e_ard_3-0-0_113079_2013-04-12_final
2013-07-10 11:28:04	ga_ls7e_ard_3-0-0_112075_2013-07-10_final
2013-09-17 11:48:04	ga_ls7e_ard_3-0-0_115078_2013-09-17_final
2013-10-30 11:31:55	ga_ls7e_ard_3-0-0_112083_2013-10-30_final
2013-12-22 11:47:58	ga_ls7e_ard_3-0-0_115076_2013-12-22_final
2014-04-06 11:44:00	ga_ls7e_ard_3-0-0_114080_2014-04-06_final
2014-08-21 11:39:16	ga_ls7e_ard_3-0-0_113082_2014-08-21_final
2014-09-24 11:23:26	ga_ls7e_ard_3-0-0_111073_2014-09-24_final
2015-01-19 11:45:10	ga_ls7e_ard_3-0-0_114079_2015-01-19_final
2015-02-15 11:26:46	ga_ls7e_ard_3-0-0_111079_2015-02-15_final
2015-06-05 11:41:12	ga_ls7e_ard_3-0-0_113082_2015-06-05_final
2016-02-02 09:48:13	ga_ls7e_ard_3-0-0_095072_2016-02-02_final
2016-03-19 11:40:34	ga_ls7e_ard_3-0-0_113074_2016-03-19_final
2016-03-26 11:47:10	ga_ls7e_ard_3-0-0_114075_2016-03-26_final
2016-04-20 11:41:33	ga_ls7e_ard_3-0-0_113076_2016-04-20_final
2016-09-29 09:53:09	ga_ls7e_ard_3-0-0_095082_2016-09-29_final
2016-10-15 09:47:09	ga_ls7e_ard_3-0-0_095067_2016-10-15_final
2017-03-24 09:54:12	ga_ls7e_ard_3-0-0_095086_2017-03-24_final
2017-05-02 11:37:54	ga_ls7e_ard_3-0-0_112082_2017-05-02_final
2017-08-20 11:47:38	ga_ls7e_ard_3-0-0_114075_2017-08-20_final
2017-10-02 11:32:16	ga_ls7e_ard_3-0-0_111083_2017-10-02_final
2017-12-03 11:38:08	ga_ls7e_ard_3-0-0_113067_2017-12-03_final
2018-10-05 11:23:32	ga_ls7e_ard_3-0-0_111074_2018-10-05_final
2019-03-03 11:40:45	ga_ls7e_ard_3-1-0_114081_2019-03-03_final
2019-07-04 09:40:54	ga_ls7e_ard_3-0-0_095086_2019-07-04_final
2019-07-18 11:30:48	ga_ls7e_ard_3-0-0_113084_2019-07-18_final
2019-10-31 11:18:59	ga_ls7e_ard_3-1-0_112081_2019-10-31_final
2020-03-05 11:19:27	ga_ls7e_ard_3-1-0_114067_2020-03-05_final
2020-05-17 11:15:26	ga_ls7e_ard_3-1-0_113083_2020-05-17_final
2020-08-07 10:57:20	ga_ls7e_ard_3-1-0_111081_2020-08-07_final
2021-03-07 08:42:10	ga_ls7e_ard_3-2-0_091089_2021-03-06_final
2021-03-17 09:12:28	ga_ls7e_ard_3-2-0_097074_2021-03-16_final
2021-04-15 10:16:05	ga_ls7e_ard_3-2-0_108069_2021-04-15_final
2021-05-08 08:46:38	ga_ls7e_ard_3-2-0_093082_2021-05-07_final
2021-06-18 10:11:31	ga_ls7e_ard_3-2-0_108071_2021-06-18_final
2021-06-30 10:39:14	ga_ls7e_ard_3-2-0_112081_2021-06-30_final
2021-06-30 10:39:37	ga_ls7e_ard_3-2-0_112082_2021-06-30_final
2021-07-03 09:29:24	ga_ls7e_ard_3-2-0_101077_2021-07-02_final
2021-08-06 10:53:47	ga_ls7e_ard_3-2-0_115079_2021-08-06_final
2021-08-15 09:09:54	ga_ls7e_ard_3-2-0_098084_2021-08-14_final
2021-09-04 10:19:09	ga_ls7e_ard_3-2-0_110076_2021-09-04_final
2021-09-05 09:23:50	ga_ls7e_ard_3-2-0_101077_2021-09-04_final
2021-09-11 10:26:42	ga_ls7e_ard_3-2-0_111081_2021-09-11_final
2021-09-17 09:43:54	ga_ls7e_ard_3-2-0_105068_2021-09-17_final
2021-09-24 08:17:22	ga_ls7e_ard_3-2-0_090085_2021-09-23_final
2021-10-09 10:47:45	ga_ls7e_ard_3-2-0_115078_2021-10-09_final
2021-10-11 08:53:08	ga_ls7e_ard_3-2-0_097070_2021-10-10_final
2021-10-28 09:39:39	ga_ls7e_ard_3-2-0_104082_2021-10-28_final
2021-11-04 08:06:18	ga_ls7e_ard_3-2-0_089082_2021-11-03_final
2021-12-02 10:03:37	ga_ls7e_ard_3-2-1_109073_2021-12-02_final
2021-12-04 08:16:35	ga_ls7e_ard_3-2-1_091084_2021-12-03_final
2021-12-04 08:18:58	ga_ls7e_ard_3-2-1_091090_2021-12-03_final
2021-12-21 10:33:30	ga_ls7e_ard_3-2-1_114075_2021-12-21_final
2021-12-28 09:02:30	ga_ls7e_ard_3-2-1_099081_2021-12-27_final
2022-01-15 10:28:04	ga_ls7e_ard_3-2-1_113083_2022-01-15_final
2022-01-17 10:11:07	ga_ls7e_ard_3-2-1_111072_2022-01-17_final
2022-02-03 09:13:02	ga_ls7e_ard_3-2-1_102070_2022-02-02_final
2022-02-06 08:07:09	ga_ls7e_ard_3-2-1_091076_2022-02-05_final
2022-02-13 09:49:05	ga_ls7e_ard_3-2-1_108070_2022-02-13_final
2022-02-19 09:10:37	ga_ls7e_ard_3-2-1_102068_2022-02-18_final
2022-02-28 09:09:10	ga_ls7e_ard_3-2-1_101082_2022-02-27_final
2022-03-13 10:16:39	ga_ls7e_ard_3-2-1_112084_2022-03-13_final
2022-03-15 08:26:01	ga_ls7e_ard_3-2-1_094086_2022-03-14_final
2022-03-20 10:18:09	ga_ls7e_ard_3-2-1_113074_2022-03-20_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