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
2001-10-21 10:29:32	ga_ls7e_ard_3-1-0_104070_2001-10-21_final
2002-10-22 09:08:29	ga_ls7e_ard_3-1-0_090085_2002-10-21_final
2002-12-02 09:01:10	ga_ls7e_ard_3-1-0_089081_2002-12-01_final
2003-08-31 09:01:16	ga_ls7e_ard_3-1-0_089081_2003-08-30_final
2004-03-06 09:29:13	ga_ls7e_ard_3-1-0_093087_2004-03-05_final
2004-08-24 09:09:28	ga_ls7e_ard_3-1-0_090085_2004-08-23_final
2004-09-02 09:01:39	ga_ls7e_ard_3-1-0_089081_2004-09-01_final
2004-10-13 10:29:47	ga_ls7e_ard_3-1-0_104070_2004-10-13_final
2005-05-25 10:30:49	ga_ls7e_ard_3-1-0_104070_2005-05-25_final
2005-06-18 11:25:41	ga_ls7e_ard_3-1-0_112084_2005-06-18_final
2005-06-29 09:29:49	ga_ls7e_ard_3-1-0_093088_2005-06-28_final
2005-08-04 09:05:30	ga_ls7e_ard_3-1-0_089089_2005-08-03_final
2005-08-05 11:25:38	ga_ls7e_ard_3-1-0_112084_2005-08-05_final
2005-08-07 09:30:00	ga_ls7e_ard_3-1-0_094073_2005-08-07_final
2005-10-14 09:09:47	ga_ls7e_ard_3-1-0_090085_2005-10-13_final
2006-02-15 09:28:17	ga_ls7e_ard_3-1-0_094067_2006-02-14_final
2006-06-28 11:30:46	ga_ls7e_ard_3-1-0_113080_2006-06-28_final
2006-10-22 09:29:37	ga_ls7e_ard_3-1-0_093087_2006-10-21_final
2006-12-03 10:04:49	ga_ls7e_ard_3-1-0_099081_2006-12-03_final
2007-01-10 09:29:51	ga_ls7e_ard_3-1-0_093086_2007-01-09_final
2007-03-15 09:30:09	ga_ls7e_ard_3-1-0_093086_2007-03-15_final
2008-03-24 09:28:22	ga_ls7e_ard_3-1-0_094067_2008-03-23_final
2008-04-29 09:10:46	ga_ls7e_ard_3-1-0_090085_2008-04-28_final
2008-09-20 09:09:33	ga_ls7e_ard_3-1-0_090085_2008-09-19_final
2008-10-18 09:26:57	ga_ls7e_ard_3-1-0_094067_2008-10-17_final
2008-12-30 09:29:39	ga_ls7e_ard_3-1-0_093087_2008-12-29_final
2009-12-08 09:29:06	ga_ls7e_ard_3-1-0_094067_2009-12-07_final
2010-07-02 11:28:27	ga_ls7e_ard_3-1-0_112084_2010-07-02_final
2010-08-15 10:13:07	ga_ls7e_ard_3-1-0_100081_2010-08-15_final
2011-01-21 09:33:22	ga_ls7e_ard_3-1-0_093087_2011-01-21_final
2011-03-10 09:30:00	ga_ls7e_ard_3-1-0_093078_2011-03-10_final
2011-07-07 09:31:45	ga_ls7e_ard_3-1-0_094067_2011-07-07_final
2012-05-22 09:32:53	ga_ls7e_ard_3-1-0_094067_2012-05-22_final
2012-09-20 09:35:30	ga_ls7e_ard_3-1-0_093087_2012-09-20_final
2012-09-27 09:40:11	ga_ls7e_ard_3-1-0_094083_2012-09-27_final
2012-11-02 09:16:32	ga_ls7e_ard_3-1-0_090085_2012-11-01_final
2012-12-16 09:34:19	ga_ls7e_ard_3-1-0_094067_2012-12-16_final
2013-08-03 10:36:29	ga_ls7e_ard_3-1-0_104070_2013-08-03_final
2014-07-28 09:10:32	ga_ls7e_ard_3-1-0_089081_2014-07-27_final
2014-11-09 11:39:05	ga_ls7e_ard_3-1-0_113080_2014-11-09_final
2015-02-28 09:18:21	ga_ls7e_ard_3-1-0_090082_2015-02-27_final
2015-07-06 09:20:23	ga_ls7e_ard_3-1-0_090085_2015-07-05_final
2016-03-02 09:22:39	ga_ls7e_ard_3-1-0_090085_2016-03-01_final
2016-04-15 09:40:30	ga_ls7e_ard_3-1-0_094067_2016-04-15_final
2016-11-22 09:15:26	ga_ls7e_ard_3-1-0_089081_2016-11-21_final
2016-11-29 09:23:12	ga_ls7e_ard_3-1-0_090085_2016-11-28_final
2017-05-08 09:23:09	ga_ls7e_ard_3-1-0_090085_2017-05-07_final
2019-02-17 11:30:02	ga_ls7e_ard_3-1-0_112084_2019-02-17_final
2019-02-22 10:09:56	ga_ls7e_ard_3-1-0_099085_2019-02-22_final
2019-02-23 09:14:41	ga_ls7e_ard_3-1-0_090086_2019-02-22_final
2019-03-11 09:13:47	ga_ls7e_ard_3-1-0_090085_2019-03-10_final
2019-08-25 10:50:57	ga_ls7e_ard_3-1-0_107081_2019-08-25_final
2019-08-25 10:51:21	ga_ls7e_ard_3-1-0_107082_2019-08-25_final
2019-09-02 09:55:59	ga_ls7e_ard_3-1-0_099068_2019-09-02_final
2019-09-02 10:01:34	ga_ls7e_ard_3-1-0_099082_2019-09-02_final
2019-09-10 10:49:52	ga_ls7e_ard_3-1-0_107080_2019-09-10_final
2019-09-14 10:20:11	ga_ls7e_ard_3-1-0_103068_2019-09-14_final
2019-09-15 09:30:54	ga_ls7e_ard_3-1-0_094084_2019-09-15_final
2019-09-18 10:01:16	ga_ls7e_ard_3-1-0_099083_2019-09-18_final
2019-10-16 10:22:25	ga_ls7e_ard_3-1-0_103077_2019-10-16_final
2019-10-21 09:02:15	ga_ls7e_ard_3-1-0_090078_2019-10-20_final
2019-10-28 10:45:01	ga_ls7e_ard_3-1-0_107073_2019-10-28_final
2019-11-02 09:27:39	ga_ls7e_ard_3-1-0_094081_2019-11-01_final
2019-11-05 09:58:49	ga_ls7e_ard_3-1-0_099082_2019-11-05_final
2019-11-24 10:26:50	ga_ls7e_ard_3-1-0_104077_2019-11-24_final
2019-11-29 10:43:08	ga_ls7e_ard_3-1-0_107072_2019-11-29_final
2019-12-03 10:22:13	ga_ls7e_ard_3-1-0_103082_2019-12-03_final
2019-12-04 09:26:09	ga_ls7e_ard_3-1-0_094081_2019-12-03_final
2019-12-13 10:54:00	ga_ls7e_ard_3-1-0_109070_2019-12-13_final
2019-12-19 10:21:25	ga_ls7e_ard_3-1-0_103082_2019-12-19_final
2019-12-26 10:26:26	ga_ls7e_ard_3-1-0_104080_2019-12-26_final
2019-12-29 10:55:59	ga_ls7e_ard_3-1-0_109077_2019-12-29_final
2019-12-30 10:00:42	ga_ls7e_ard_3-1-0_100078_2019-12-30_final
2019-12-31 10:41:55	ga_ls7e_ard_3-1-0_107073_2019-12-31_final
2019-12-31 10:45:30	ga_ls7e_ard_3-1-0_107082_2019-12-31_final
2020-01-04 10:15:47	ga_ls7e_ard_3-1-0_103070_2020-01-04_final
2020-01-14 09:16:17	ga_ls7e_ard_3-1-0_093077_2020-01-13_final
2020-01-14 10:55:10	ga_ls7e_ard_3-1-0_109077_2020-01-14_final
2020-01-16 10:43:54	ga_ls7e_ard_3-1-0_107080_2020-01-16_final
2020-01-30 09:18:17	ga_ls7e_ard_3-1-0_093084_2020-01-29_final
2020-01-31 10:00:18	ga_ls7e_ard_3-1-0_100081_2020-01-31_final
2020-02-09 09:50:52	ga_ls7e_ard_3-1-0_099074_2020-02-09_final
2020-02-16 09:56:17	ga_ls7e_ard_3-1-0_100073_2020-02-16_final
2020-02-17 10:40:17	ga_ls7e_ard_3-1-0_107075_2020-02-17_final
2020-02-21 10:18:09	ga_ls7e_ard_3-1-0_103082_2020-02-21_final
2020-02-27 11:18:50	ga_ls7e_ard_3-1-0_113080_2020-02-27_final
2020-03-04 10:37:50	ga_ls7e_ard_3-1-0_107071_2020-03-04_final
2020-03-28 09:52:16	ga_ls7e_ard_3-1-0_099084_2020-03-28_final
2020-04-16 10:15:41	ga_ls7e_ard_3-1-0_104068_2020-04-16_final
2020-04-20 09:55:07	ga_ls7e_ard_3-1-0_100079_2020-04-20_final
2020-04-21 10:38:43	ga_ls7e_ard_3-1-0_107080_2020-04-21_final
2022-03-18 08:55:24	ga_ls7e_ard_3-2-1_099083_2022-03-17_final
2022-03-22 08:26:43	ga_ls7e_ard_3-2-1_095074_2022-03-21_final
2022-03-24 09:56:39	ga_ls7e_ard_3-2-1_109083_2022-03-24_final
2022-03-26 09:42:54	ga_ls7e_ard_3-2-1_107080_2022-03-26_final
2022-03-29 08:36:38	ga_ls7e_ard_3-2-1_096085_2022-03-28_final
2022-03-29 10:15:07	ga_ls7e_ard_3-2-1_112084_2022-03-29_final
2022-03-30 09:17:00	ga_ls7e_ard_3-2-1_103078_2022-03-29_final
2022-03-31 08:24:29	ga_ls7e_ard_3-2-1_094086_2022-03-30_final
2022-04-05 08:36:56	ga_ls7e_ard_3-2-1_097072_2022-04-04_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