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
2000-12-19 09:11:06	ga_ls7e_ard_3-1-0_090085_2000-12-18_final
2001-03-01 09:56:52	ga_ls7e_ard_3-1-0_098076_2001-03-01_final
2001-09-01 10:44:15	ga_ls7e_ard_3-1-0_106075_2001-09-01_final
2001-10-19 10:43:52	ga_ls7e_ard_3-1-0_106075_2001-10-19_final
2001-10-28 09:01:13	ga_ls7e_ard_3-1-0_089081_2001-10-27_final
2002-04-02 11:05:16	ga_ls7e_ard_3-1-0_109081_2002-04-02_final
2002-08-31 09:26:13	ga_ls7e_ard_3-1-0_094067_2002-08-30_final
2004-06-17 11:08:07	ga_ls7e_ard_3-1-0_110072_2004-06-17_final
2004-10-29 10:30:03	ga_ls7e_ard_3-1-0_104070_2004-10-29_final
2005-05-20 10:14:17	ga_ls7e_ard_3-1-0_101075_2005-05-20_final
2005-07-03 09:02:19	ga_ls7e_ard_3-1-0_089081_2005-07-02_final
2005-07-23 10:14:06	ga_ls7e_ard_3-1-0_101075_2005-07-23_final
2006-12-01 10:14:46	ga_ls7e_ard_3-1-0_101075_2006-12-01_final
2007-01-31 11:23:48	ga_ls7e_ard_3-1-0_112077_2007-01-31_final
2007-05-27 11:01:01	ga_ls7e_ard_3-1-0_108082_2007-05-27_final
2007-08-22 11:06:31	ga_ls7e_ard_3-1-0_109081_2007-08-22_final
2007-09-23 09:28:13	ga_ls7e_ard_3-1-0_093083_2007-09-22_final
2007-09-27 10:41:10	ga_ls7e_ard_3-1-0_105080_2007-09-27_final
2007-12-03 09:28:28	ga_ls7e_ard_3-1-0_094067_2007-12-02_final
2007-12-08 09:50:38	ga_ls7e_ard_3-1-0_097076_2007-12-08_final
2007-12-19 09:34:56	ga_ls7e_ard_3-1-0_094083_2007-12-19_final
2008-02-28 09:39:24	ga_ls7e_ard_3-1-0_095079_2008-02-28_final
2008-04-03 10:11:02	ga_ls7e_ard_3-1-0_100081_2008-04-03_final
2008-04-09 09:28:22	ga_ls7e_ard_3-1-0_094067_2008-04-08_final
2008-09-07 09:38:11	ga_ls7e_ard_3-1-0_095079_2008-09-07_final
2008-09-09 11:05:29	ga_ls7e_ard_3-1-0_109081_2008-09-09_final
2009-03-04 11:06:35	ga_ls7e_ard_3-1-0_109081_2009-03-04_final
2010-10-01 09:28:39	ga_ls7e_ard_3-1-0_093078_2010-09-30_final
2011-03-01 09:31:45	ga_ls7e_ard_3-1-0_094067_2011-03-01_final
2011-07-25 10:59:50	ga_ls7e_ard_3-1-0_108071_2011-07-25_final
2011-07-25 11:01:26	ga_ls7e_ard_3-1-0_108075_2011-07-25_final
2011-09-02 11:09:52	ga_ls7e_ard_3-1-0_109081_2011-09-02_final
2012-03-21 11:02:04	ga_ls7e_ard_3-1-0_108075_2012-03-21_final
2012-04-04 09:32:19	ga_ls7e_ard_3-1-0_094067_2012-04-04_final
2012-05-02 10:02:37	ga_ls7e_ard_3-1-0_098080_2012-05-02_final
2013-01-23 10:39:48	ga_ls7e_ard_3-1-0_104076_2013-01-23_final
2013-04-29 10:37:08	ga_ls7e_ard_3-1-0_104070_2013-04-29_final
2013-05-30 09:56:08	ga_ls7e_ard_3-1-0_097076_2013-05-30_final
2013-06-11 10:20:21	ga_ls7e_ard_3-1-0_101075_2013-06-11_final
2013-08-06 09:30:06	ga_ls7e_ard_3-1-0_093074_2013-08-06_final
2014-10-09 10:39:10	ga_ls7e_ard_3-1-0_104070_2014-10-09_final
2015-02-15 11:27:58	ga_ls7e_ard_3-1-0_111082_2015-02-15_final
2015-04-14 10:23:53	ga_ls7e_ard_3-1-0_101075_2015-04-14_final
2015-07-18 09:44:21	ga_ls7e_ard_3-1-0_094083_2015-07-18_final
2015-08-28 11:16:22	ga_ls7e_ard_3-1-0_109081_2015-08-28_final
2016-05-14 10:53:48	ga_ls7e_ard_3-1-0_105080_2016-05-14_final
2017-02-04 11:31:16	ga_ls7e_ard_3-1-0_111082_2017-02-04_final
2018-05-05 11:36:38	ga_ls7e_ard_3-1-0_112084_2018-05-05_final
2018-08-17 10:39:46	ga_ls7e_ard_3-1-0_104070_2018-08-17_final
2018-10-14 09:35:27	ga_ls7e_ard_3-1-0_094067_2018-10-14_final
2018-12-02 10:20:46	ga_ls7e_ard_3-1-0_101075_2018-12-02_final
2019-02-19 09:37:08	ga_ls7e_ard_3-1-0_094080_2019-02-19_final
2019-02-20 10:20:46	ga_ls7e_ard_3-1-0_101081_2019-02-20_final
2019-03-01 10:13:30	ga_ls7e_ard_3-1-0_100079_2019-03-01_final
2019-03-11 09:11:23	ga_ls7e_ard_3-1-0_090079_2019-03-10_final
2019-03-12 11:33:29	ga_ls7e_ard_3-1-0_113079_2019-03-12_final
2019-03-13 10:33:51	ga_ls7e_ard_3-1-0_104069_2019-03-13_final
2019-03-14 09:42:11	ga_ls7e_ard_3-1-0_095079_2019-03-14_final
2019-03-18 10:54:37	ga_ls7e_ard_3-1-0_107075_2019-03-18_final
2019-03-25 11:00:58	ga_ls7e_ard_3-1-0_108076_2019-03-25_final
2019-03-29 10:33:19	ga_ls7e_ard_3-1-0_104069_2019-03-29_final
2019-08-31 10:10:02	ga_ls7e_ard_3-1-0_101072_2019-08-31_final
2019-09-05 10:27:33	ga_ls7e_ard_3-1-0_104070_2019-09-05_final
2019-09-10 10:49:28	ga_ls7e_ard_3-1-0_107079_2019-09-10_final
2019-10-12 10:45:42	ga_ls7e_ard_3-1-0_107073_2019-10-12_final
2019-10-12 10:47:18	ga_ls7e_ard_3-1-0_107077_2019-10-12_final
2019-10-14 10:34:51	ga_ls7e_ard_3-1-0_105077_2019-10-14_final
2019-10-21 09:04:15	ga_ls7e_ard_3-1-0_090083_2019-10-20_final
2019-10-30 10:34:34	ga_ls7e_ard_3-1-0_105078_2019-10-30_final
2019-11-11 09:18:16	ga_ls7e_ard_3-1-0_093074_2019-11-10_final
2019-11-18 09:26:55	ga_ls7e_ard_3-1-0_094081_2019-11-17_final
2019-11-23 09:46:01	ga_ls7e_ard_3-1-0_097083_2019-11-23_final
2019-11-27 09:18:19	ga_ls7e_ard_3-1-0_093076_2019-11-26_final
2019-12-05 10:06:34	ga_ls7e_ard_3-1-0_101074_2019-12-05_final
2019-12-09 11:23:19	ga_ls7e_ard_3-1-0_113081_2019-12-09_final
2019-12-10 10:24:03	ga_ls7e_ard_3-1-0_104072_2019-12-10_final
2019-12-26 10:26:02	ga_ls7e_ard_3-1-0_104079_2019-12-26_final
2020-01-02 10:32:15	ga_ls7e_ard_3-1-0_105080_2020-01-02_final
2020-01-15 10:01:05	ga_ls7e_ard_3-1-0_100081_2020-01-15_final
2020-01-21 11:01:00	ga_ls7e_ard_3-1-0_110077_2020-01-21_final
2020-02-15 09:15:28	ga_ls7e_ard_3-1-0_093079_2020-02-14_final
2020-02-17 10:39:05	ga_ls7e_ard_3-1-0_107072_2020-02-17_final
2020-03-05 09:46:33	ga_ls7e_ard_3-1-0_098082_2020-03-05_final
2020-03-06 10:28:10	ga_ls7e_ard_3-1-0_105078_2020-03-06_final
2020-03-12 09:48:46	ga_ls7e_ard_3-1-0_099073_2020-03-12_final
2020-03-19 09:57:21	ga_ls7e_ard_3-1-0_100080_2020-03-19_final
2020-03-23 11:11:17	ga_ls7e_ard_3-1-0_112080_2020-03-23_final
2020-04-14 10:31:45	ga_ls7e_ard_3-1-0_106077_2020-04-14_final
2020-04-22 09:43:51	ga_ls7e_ard_3-1-0_098082_2020-04-22_final
2021-02-27 09:25:51	ga_ls7e_ard_3-2-0_099073_2021-02-26_final
2021-03-11 09:53:13	ga_ls7e_ard_3-2-0_103082_2021-03-11_final
2022-03-15 10:01:18	ga_ls7e_ard_3-2-1_110077_2022-03-15_final
2022-03-19 08:02:29	ga_ls7e_ard_3-2-1_090090_2022-03-18_final
2022-03-24 09:56:15	ga_ls7e_ard_3-2-1_109082_2022-03-24_final
2022-03-25 09:00:08	ga_ls7e_ard_3-2-1_100081_2022-03-24_final
2022-03-27 08:44:24	ga_ls7e_ard_3-2-1_098073_2022-03-26_final
2022-03-27 08:47:35	ga_ls7e_ard_3-2-1_098081_2022-03-26_final
2022-03-31 10:01:46	ga_ls7e_ard_3-2-1_110082_2022-03-31_final
2022-04-01 09:05:39	ga_ls7e_ard_3-2-1_101081_2022-03-31_final
2022-04-02 09:49:12	ga_ls7e_ard_3-2-1_108082_2022-04-02_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