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
2002-10-15 09:00:37	ga_ls7e_ard_3-1-0_089081_2002-10-14_final
2003-08-15 09:01:19	ga_ls7e_ard_3-1-0_089081_2003-08-14_final
2004-02-10 11:08:13	ga_ls7e_ard_3-1-0_110072_2004-02-10_final
2004-03-26 09:05:23	ga_ls7e_ard_3-1-0_089089_2004-03-25_final
2005-06-20 09:30:03	ga_ls7e_ard_3-1-0_094073_2005-06-20_final
2005-09-10 10:57:03	ga_ls7e_ard_3-1-0_108075_2005-09-10_final
2006-10-11 09:47:34	ga_ls7e_ard_3-1-0_096086_2006-10-11_final
2006-10-13 09:35:39	ga_ls7e_ard_3-1-0_094087_2006-10-13_final
2006-10-25 09:57:46	ga_ls7e_ard_3-1-0_098080_2006-10-25_final
2006-11-15 10:14:37	ga_ls7e_ard_3-1-0_101075_2006-11-15_final
2007-02-24 10:31:42	ga_ls7e_ard_3-1-0_104070_2007-02-24_final
2007-09-28 09:47:56	ga_ls7e_ard_3-1-0_096086_2007-09-28_final
2007-10-20 09:10:32	ga_ls7e_ard_3-1-0_090085_2007-10-19_final
2008-05-29 10:57:50	ga_ls7e_ard_3-1-0_108075_2008-05-29_final
2008-07-30 11:08:22	ga_ls7e_ard_3-1-0_110072_2008-07-30_final
2009-06-13 09:48:36	ga_ls7e_ard_3-1-0_096086_2009-06-13_final
2009-08-18 11:09:17	ga_ls7e_ard_3-1-0_110072_2009-08-18_final
2009-09-09 10:31:24	ga_ls7e_ard_3-1-0_104070_2009-09-09_final
2009-09-16 09:06:16	ga_ls7e_ard_3-1-0_089089_2009-09-15_final
2009-10-28 09:39:33	ga_ls7e_ard_3-1-0_095079_2009-10-28_final
2010-03-07 11:08:36	ga_ls7e_ard_3-1-0_109081_2010-03-07_final
2010-05-28 09:12:13	ga_ls7e_ard_3-1-0_091068_2010-05-27_final
2010-09-06 11:11:23	ga_ls7e_ard_3-1-0_110072_2010-09-06_final
2011-05-04 09:31:51	ga_ls7e_ard_3-1-0_094067_2011-05-04_final
2011-06-30 09:33:33	ga_ls7e_ard_3-1-0_093087_2011-06-30_final
2011-09-18 09:33:18	ga_ls7e_ard_3-1-0_093087_2011-09-18_final
2011-09-23 09:51:26	ga_ls7e_ard_3-1-0_096086_2011-09-23_final
2011-09-25 11:12:21	ga_ls7e_ard_3-1-0_110072_2011-09-25_final
2011-11-12 11:12:39	ga_ls7e_ard_3-1-0_110072_2011-11-12_final
2011-11-26 09:51:52	ga_ls7e_ard_3-1-0_096086_2011-11-26_final
2012-05-20 09:52:51	ga_ls7e_ard_3-1-0_096086_2012-05-20_final
2012-08-30 10:49:39	ga_ls7e_ard_3-1-0_106072_2012-08-30_final
2012-09-27 11:14:40	ga_ls7e_ard_3-1-0_110072_2012-09-27_final
2014-03-09 11:15:55	ga_ls7e_ard_3-1-0_110072_2014-03-09_final
2014-04-28 11:07:57	ga_ls7e_ard_3-1-0_108082_2014-04-28_final
2014-09-03 11:05:35	ga_ls7e_ard_3-1-0_108075_2014-09-03_final
2015-09-04 11:18:58	ga_ls7e_ard_3-1-0_110072_2015-09-04_final
2015-11-07 11:19:40	ga_ls7e_ard_3-1-0_110072_2015-11-07_final
2017-04-06 10:57:51	ga_ls7e_ard_3-1-0_106075_2017-04-06_final
2017-04-27 09:42:27	ga_ls7e_ard_3-1-0_093087_2017-04-27_final
2017-12-07 09:42:28	ga_ls7e_ard_3-1-0_093087_2017-12-07_final
2018-04-03 11:33:12	ga_ls7e_ard_3-1-0_112074_2018-04-03_final
2018-05-09 11:08:15	ga_ls7e_ard_3-1-0_108075_2018-05-09_final
2018-10-07 09:37:26	ga_ls7e_ard_3-1-0_093087_2018-10-07_final
2018-11-17 11:02:49	ga_ls7e_ard_3-1-0_108071_2018-11-17_final
2019-02-17 09:44:22	ga_ls7e_ard_3-1-0_096067_2019-02-17_final
2019-02-21 10:59:36	ga_ls7e_ard_3-1-0_108070_2019-02-21_final
2019-02-26 09:42:42	ga_ls7e_ard_3-1-0_095079_2019-02-26_final
2019-02-26 11:23:34	ga_ls7e_ard_3-1-0_111084_2019-02-26_final
2019-03-06 10:32:17	ga_ls7e_ard_3-1-0_103080_2019-03-06_final
2019-03-12 09:52:13	ga_ls7e_ard_3-1-0_097073_2019-03-12_final
2019-03-25 09:22:05	ga_ls7e_ard_3-1-0_092076_2019-03-24_final
2019-03-25 11:03:45	ga_ls7e_ard_3-1-0_108083_2019-03-25_final
2019-04-04 10:00:25	ga_ls7e_ard_3-1-0_098080_2019-04-04_final
2019-09-17 10:53:20	ga_ls7e_ard_3-1-0_108074_2019-09-17_final
2019-09-18 11:38:09	ga_ls7e_ard_3-1-0_115078_2019-09-18_final
2019-09-22 11:10:51	ga_ls7e_ard_3-1-0_111072_2019-09-22_final
2019-10-01 09:25:49	ga_ls7e_ard_3-1-0_094073_2019-09-30_final
2019-10-08 11:10:59	ga_ls7e_ard_3-1-0_111074_2019-10-08_final
2019-10-15 11:20:04	ga_ls7e_ard_3-1-0_112082_2019-10-15_final
2019-10-19 10:50:23	ga_ls7e_ard_3-1-0_108070_2019-10-19_final
2019-10-24 11:09:31	ga_ls7e_ard_3-1-0_111072_2019-10-24_final
2019-10-25 10:14:15	ga_ls7e_ard_3-1-0_102073_2019-10-25_final
2019-10-29 09:48:57	ga_ls7e_ard_3-1-0_098072_2019-10-29_final
2019-10-29 11:31:26	ga_ls7e_ard_3-1-0_114081_2019-10-29_final
2019-11-02 11:02:56	ga_ls7e_ard_3-1-0_110072_2019-11-02_final
2019-11-02 11:03:20	ga_ls7e_ard_3-1-0_110073_2019-11-02_final
2019-11-02 11:06:56	ga_ls7e_ard_3-1-0_110082_2019-11-02_final
2019-11-06 09:01:09	ga_ls7e_ard_3-1-0_090077_2019-11-05_final
2019-11-07 09:47:33	ga_ls7e_ard_3-1-0_097085_2019-11-07_final
2019-11-07 11:22:03	ga_ls7e_ard_3-1-0_113074_2019-11-07_final
2019-11-09 11:06:48	ga_ls7e_ard_3-1-0_111067_2019-11-09_final
2019-11-13 10:44:42	ga_ls7e_ard_3-1-0_107074_2019-11-13_final
2019-11-26 10:10:47	ga_ls7e_ard_3-1-0_102068_2019-11-26_final
2019-12-04 09:28:08	ga_ls7e_ard_3-1-0_094086_2019-12-03_final
2019-12-16 09:44:41	ga_ls7e_ard_3-1-0_098067_2019-12-16_final
2019-12-17 08:56:35	ga_ls7e_ard_3-1-0_089086_2019-12-16_final
2019-12-18 09:35:00	ga_ls7e_ard_3-1-0_096074_2019-12-18_final
2019-12-20 11:00:38	ga_ls7e_ard_3-1-0_110072_2019-12-20_final
2019-12-22 10:48:58	ga_ls7e_ard_3-1-0_108074_2019-12-22_final
2019-12-23 09:50:30	ga_ls7e_ard_3-1-0_099067_2019-12-23_final
2019-12-24 09:00:49	ga_ls7e_ard_3-1-0_090082_2019-12-23_final
2019-12-24 09:01:37	ga_ls7e_ard_3-1-0_090084_2019-12-23_final
2020-01-01 09:45:03	ga_ls7e_ard_3-1-0_098070_2020-01-01_final
2020-01-09 10:35:16	ga_ls7e_ard_3-1-0_106073_2020-01-09_final
2020-01-10 09:38:24	ga_ls7e_ard_3-1-0_097070_2020-01-10_final
2020-01-12 09:26:44	ga_ls7e_ard_3-1-0_095072_2020-01-11_final
2020-01-30 10:56:46	ga_ls7e_ard_3-1-0_109083_2020-01-30_final
2020-02-08 10:48:32	ga_ls7e_ard_3-1-0_108079_2020-02-08_final
2020-02-11 11:14:29	ga_ls7e_ard_3-1-0_113067_2020-02-11_final
2020-02-18 11:25:05	ga_ls7e_ard_3-1-0_114079_2020-02-18_final
2020-03-19 09:58:57	ga_ls7e_ard_3-1-0_100084_2020-03-19_final
2020-03-26 09:59:33	ga_ls7e_ard_3-1-0_101071_2020-03-26_final
2020-04-01 09:28:31	ga_ls7e_ard_3-1-0_095087_2020-03-31_final
2020-04-06 09:43:59	ga_ls7e_ard_3-1-0_098080_2020-04-06_final
2020-04-08 09:26:19	ga_ls7e_ard_3-1-0_096067_2020-04-07_final
2020-04-12 10:43:02	ga_ls7e_ard_3-1-0_108074_2020-04-12_final
2020-04-23 08:49:22	ga_ls7e_ard_3-1-0_089085_2020-04-22_final
2020-04-25 10:08:59	ga_ls7e_ard_3-1-0_103068_2020-04-25_final
2022-03-21 09:22:02	ga_ls7e_ard_3-2-1_104073_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