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
2001-08-22 10:09:42	ga_ls7e_ard_3-1-0_100081_2001-08-22_final
2003-08-24 10:29:37	ga_ls7e_ard_3-1-0_104070_2003-08-24_final
2004-05-15 10:24:14	ga_ls7e_ard_3-1-0_103070_2004-05-15_final
2004-09-27 10:29:49	ga_ls7e_ard_3-1-0_104070_2004-09-27_final
2004-10-17 10:09:32	ga_ls7e_ard_3-1-0_100081_2004-10-17_final
2005-01-11 09:34:00	ga_ls7e_ard_3-1-0_094083_2005-01-11_final
2005-06-13 09:29:53	ga_ls7e_ard_3-1-0_093088_2005-06-12_final
2005-06-24 09:07:19	ga_ls7e_ard_3-1-0_090078_2005-06-23_final
2005-08-29 10:30:27	ga_ls7e_ard_3-1-0_104070_2005-08-29_final
2005-10-16 10:30:22	ga_ls7e_ard_3-1-0_104070_2005-10-16_final
2006-02-21 10:31:18	ga_ls7e_ard_3-1-0_104070_2006-02-21_final
2007-04-16 09:28:56	ga_ls7e_ard_3-1-0_093083_2007-04-15_final
2007-07-26 11:23:37	ga_ls7e_ard_3-1-0_112077_2007-07-26_final
2008-03-01 09:28:38	ga_ls7e_ard_3-1-0_093083_2008-02-29_final
2009-01-15 09:28:08	ga_ls7e_ard_3-1-0_093083_2009-01-14_final
2009-05-04 10:31:38	ga_ls7e_ard_3-1-0_104070_2009-05-04_final
2009-06-24 09:28:50	ga_ls7e_ard_3-1-0_093083_2009-06-23_final
2009-08-11 09:28:36	ga_ls7e_ard_3-1-0_093083_2009-08-10_final
2009-11-16 10:11:07	ga_ls7e_ard_3-1-0_100080_2009-11-16_final
2010-06-27 09:30:37	ga_ls7e_ard_3-1-0_093083_2010-06-27_final
2010-07-26 10:33:27	ga_ls7e_ard_3-1-0_104070_2010-07-26_final
2011-05-14 10:14:28	ga_ls7e_ard_3-1-0_100081_2011-05-14_final
2011-07-07 09:38:08	ga_ls7e_ard_3-1-0_094083_2011-07-07_final
2011-11-05 09:29:52	ga_ls7e_ard_3-1-0_093078_2011-11-04_final
2012-03-25 10:35:21	ga_ls7e_ard_3-1-0_104070_2012-03-25_final
2012-09-17 10:36:40	ga_ls7e_ard_3-1-0_104070_2012-09-17_final
2013-01-23 10:41:24	ga_ls7e_ard_3-1-0_104080_2013-01-23_final
2014-10-09 10:39:10	ga_ls7e_ard_3-1-0_104070_2014-10-09_final
2014-11-30 10:19:15	ga_ls7e_ard_3-1-0_100081_2014-11-30_final
2015-03-02 10:40:06	ga_ls7e_ard_3-1-0_104070_2015-03-02_final
2015-05-03 09:20:00	ga_ls7e_ard_3-1-0_090085_2015-05-02_final
2015-07-24 10:40:59	ga_ls7e_ard_3-1-0_104070_2015-07-24_final
2016-08-09 09:23:19	ga_ls7e_ard_3-1-0_090085_2016-08-08_final
2016-10-30 10:43:54	ga_ls7e_ard_3-1-0_104070_2016-10-30_final
2016-11-15 10:43:46	ga_ls7e_ard_3-1-0_104070_2016-11-15_final
2017-10-05 10:23:30	ga_ls7e_ard_3-1-0_100081_2017-10-05_final
2018-05-05 11:36:38	ga_ls7e_ard_3-1-0_112084_2018-05-05_final
2018-05-13 10:41:29	ga_ls7e_ard_3-1-0_104070_2018-05-13_final
2018-08-17 10:39:46	ga_ls7e_ard_3-1-0_104070_2018-08-17_final
2018-09-02 10:39:26	ga_ls7e_ard_3-1-0_104070_2018-09-02_final
2018-09-16 09:17:24	ga_ls7e_ard_3-1-0_090082_2018-09-15_final
2018-10-04 10:38:42	ga_ls7e_ard_3-1-0_104070_2018-10-04_final
2019-02-17 11:28:26	ga_ls7e_ard_3-1-0_112080_2019-02-17_final
2019-03-06 10:31:05	ga_ls7e_ard_3-1-0_103077_2019-03-06_final
2019-08-25 10:48:58	ga_ls7e_ard_3-1-0_107076_2019-08-25_final
2019-08-28 11:21:44	ga_ls7e_ard_3-1-0_112081_2019-08-28_final
2019-08-28 11:22:32	ga_ls7e_ard_3-1-0_112083_2019-08-28_final
2019-09-05 10:27:33	ga_ls7e_ard_3-1-0_104070_2019-09-05_final
2019-09-09 10:05:03	ga_ls7e_ard_3-1-0_100076_2019-09-09_final
2019-09-10 10:50:16	ga_ls7e_ard_3-1-0_107081_2019-09-10_final
2019-09-15 09:30:30	ga_ls7e_ard_3-1-0_094083_2019-09-15_final
2019-09-19 09:04:00	ga_ls7e_ard_3-1-0_090079_2019-09-18_final
2019-09-19 09:05:12	ga_ls7e_ard_3-1-0_090082_2019-09-18_final
2019-09-21 10:26:27	ga_ls7e_ard_3-1-0_104069_2019-09-21_final
2019-09-21 10:27:14	ga_ls7e_ard_3-1-0_104071_2019-09-21_final
2019-09-25 10:06:44	ga_ls7e_ard_3-1-0_100082_2019-09-25_final
2019-09-30 10:19:53	ga_ls7e_ard_3-1-0_103069_2019-09-30_final
2019-10-07 10:27:46	ga_ls7e_ard_3-1-0_104074_2019-10-07_final
2019-10-10 09:23:39	ga_ls7e_ard_3-1-0_093084_2019-10-09_final
2019-10-12 10:45:42	ga_ls7e_ard_3-1-0_107073_2019-10-12_final
2019-10-16 10:22:01	ga_ls7e_ard_3-1-0_103076_2019-10-16_final
2019-10-22 11:25:09	ga_ls7e_ard_3-1-0_113080_2019-10-22_final
2019-10-23 10:28:17	ga_ls7e_ard_3-1-0_104077_2019-10-23_final
2019-11-08 10:28:47	ga_ls7e_ard_3-1-0_104080_2019-11-08_final
2019-11-12 10:04:16	ga_ls7e_ard_3-1-0_100081_2019-11-12_final
2019-11-13 10:47:29	ga_ls7e_ard_3-1-0_107081_2019-11-13_final
2019-11-16 11:15:51	ga_ls7e_ard_3-1-0_112075_2019-11-16_final
2019-11-18 09:28:07	ga_ls7e_ard_3-1-0_094084_2019-11-17_final
2019-11-24 10:27:14	ga_ls7e_ard_3-1-0_104078_2019-11-24_final
2019-11-27 09:22:18	ga_ls7e_ard_3-1-0_093086_2019-11-26_final
2019-12-04 09:24:09	ga_ls7e_ard_3-1-0_094076_2019-12-03_final
2019-12-09 11:17:44	ga_ls7e_ard_3-1-0_113067_2019-12-09_final
2019-12-10 10:26:51	ga_ls7e_ard_3-1-0_104079_2019-12-10_final
2019-12-14 10:01:56	ga_ls7e_ard_3-1-0_100079_2019-12-14_final
2019-12-20 09:24:56	ga_ls7e_ard_3-1-0_094080_2019-12-19_final
2019-12-29 09:18:18	ga_ls7e_ard_3-1-0_093080_2019-12-28_final
2020-01-08 09:52:51	ga_ls7e_ard_3-1-0_099075_2020-01-08_final
2020-01-11 10:24:24	ga_ls7e_ard_3-1-0_104077_2020-01-11_final
2020-01-15 10:01:29	ga_ls7e_ard_3-1-0_100082_2020-01-15_final
2020-01-21 09:24:55	ga_ls7e_ard_3-1-0_094084_2020-01-20_final
2020-01-30 09:15:53	ga_ls7e_ard_3-1-0_093078_2020-01-29_final
2020-02-06 09:23:42	ga_ls7e_ard_3-1-0_094083_2020-02-05_final
2020-02-12 10:20:48	ga_ls7e_ard_3-1-0_104072_2020-02-12_final
2020-02-16 09:59:52	ga_ls7e_ard_3-1-0_100082_2020-02-16_final
2020-03-08 10:15:42	ga_ls7e_ard_3-1-0_103078_2020-03-08_final
2020-03-13 08:56:41	ga_ls7e_ard_3-1-0_090082_2020-03-12_final
2020-03-18 09:16:32	ga_ls7e_ard_3-1-0_093086_2020-03-17_final
2020-03-19 09:56:57	ga_ls7e_ard_3-1-0_100079_2020-03-19_final
2020-03-25 09:21:32	ga_ls7e_ard_3-1-0_094084_2020-03-24_final
2020-04-10 09:19:50	ga_ls7e_ard_3-1-0_094082_2020-04-09_final
2020-04-10 09:20:13	ga_ls7e_ard_3-1-0_094083_2020-04-09_final
2020-04-16 10:19:41	ga_ls7e_ard_3-1-0_104078_2020-04-16_final
2020-04-20 09:53:32	ga_ls7e_ard_3-1-0_100075_2020-04-20_final
2022-03-14 09:18:32	ga_ls7e_ard_3-2-1_103078_2022-03-13_final
2022-03-24 09:56:15	ga_ls7e_ard_3-2-1_109082_2022-03-24_final
2022-03-28 09:27:33	ga_ls7e_ard_3-2-1_105073_2022-03-27_final
2022-03-29 08:31:51	ga_ls7e_ard_3-2-1_096073_2022-03-28_final
2022-03-29 08:32:14	ga_ls7e_ard_3-2-1_096074_2022-03-28_final
2022-03-30 09:13:25	ga_ls7e_ard_3-2-1_103069_2022-03-29_final
2022-03-30 09:16:36	ga_ls7e_ard_3-2-1_103077_2022-03-29_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