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
2001-06-02 09:28:57	ga_ls7e_ard_3-1-0_093085_2001-06-01_final
2001-10-24 11:04:48	ga_ls7e_ard_3-1-0_109081_2001-10-24_final
2001-11-12 09:56:36	ga_ls7e_ard_3-1-0_098080_2001-11-12_final
2002-03-17 11:05:20	ga_ls7e_ard_3-1-0_109081_2002-03-17_final
2002-04-06 09:01:42	ga_ls7e_ard_3-1-0_089081_2002-04-05_final
2002-04-25 09:27:00	ga_ls7e_ard_3-1-0_094067_2002-04-24_final
2002-05-01 10:30:04	ga_ls7e_ard_3-1-0_104070_2002-05-01_final
2004-03-02 09:49:31	ga_ls7e_ard_3-1-0_097076_2004-03-02_final
2004-07-03 09:33:37	ga_ls7e_ard_3-1-0_094083_2004-07-03_final
2004-08-20 09:30:13	ga_ls7e_ard_3-1-0_094075_2004-08-20_final
2005-02-05 11:06:02	ga_ls7e_ard_3-1-0_109081_2005-02-05_final
2005-09-18 10:09:58	ga_ls7e_ard_3-1-0_100081_2005-09-18_final
2006-06-13 10:31:14	ga_ls7e_ard_3-1-0_104070_2006-06-13_final
2006-11-20 10:31:13	ga_ls7e_ard_3-1-0_104070_2006-11-20_final
2006-12-23 09:39:24	ga_ls7e_ard_3-1-0_095079_2006-12-23_final
2007-04-29 10:31:41	ga_ls7e_ard_3-1-0_104070_2007-04-29_final
2007-07-03 09:39:26	ga_ls7e_ard_3-1-0_095079_2007-07-03_final
2007-07-18 10:31:25	ga_ls7e_ard_3-1-0_104070_2007-07-18_final
2008-01-10 10:31:35	ga_ls7e_ard_3-1-0_104070_2008-01-10_final
2008-03-01 09:26:38	ga_ls7e_ard_3-1-0_093078_2008-02-29_final
2010-03-01 11:44:02	ga_ls7e_ard_3-1-0_115077_2010-03-01_final
2010-03-17 11:44:09	ga_ls7e_ard_3-1-0_115077_2010-03-17_final
2010-10-29 09:52:52	ga_ls7e_ard_3-1-0_097076_2010-10-29_final
2011-03-08 09:42:45	ga_ls7e_ard_3-1-0_095079_2011-03-08_final
2011-03-26 09:32:00	ga_ls7e_ard_3-1-0_093083_2011-03-26_final
2011-10-30 11:45:22	ga_ls7e_ard_3-1-0_115077_2011-10-30_final
2012-09-02 09:44:31	ga_ls7e_ard_3-1-0_095079_2012-09-02_final
2013-02-09 11:25:29	ga_ls7e_ard_3-1-0_111082_2013-02-09_final
2013-03-22 09:40:42	ga_ls7e_ard_3-1-0_094083_2013-03-22_final
2013-11-01 09:40:41	ga_ls7e_ard_3-1-0_094083_2013-11-01_final
2013-12-03 09:40:56	ga_ls7e_ard_3-1-0_094083_2013-12-03_final
2014-03-07 11:31:03	ga_ls7e_ard_3-1-0_112079_2014-03-07_final
2014-09-23 10:38:58	ga_ls7e_ard_3-1-0_104070_2014-09-23_final
2015-05-06 09:48:32	ga_ls7e_ard_3-1-0_095079_2015-05-06_final
2015-07-07 10:00:03	ga_ls7e_ard_3-1-0_097076_2015-07-07_final
2015-08-10 09:49:01	ga_ls7e_ard_3-1-0_095079_2015-08-10_final
2015-10-18 10:08:23	ga_ls7e_ard_3-1-0_098080_2015-10-18_final
2015-10-27 10:00:45	ga_ls7e_ard_3-1-0_097076_2015-10-27_final
2015-12-10 10:25:46	ga_ls7e_ard_3-1-0_101075_2015-12-10_final
2016-04-18 10:18:36	ga_ls7e_ard_3-1-0_099085_2016-04-18_final
2017-05-13 11:19:00	ga_ls7e_ard_3-1-0_109081_2017-05-13_final
2017-08-17 09:41:02	ga_ls7e_ard_3-1-0_093083_2017-08-17_final
2017-08-17 11:19:07	ga_ls7e_ard_3-1-0_109081_2017-08-17_final
2017-11-05 11:19:09	ga_ls7e_ard_3-1-0_109081_2017-11-05_final
2018-01-24 11:18:21	ga_ls7e_ard_3-1-0_109081_2018-01-24_final
2018-03-04 09:45:57	ga_ls7e_ard_3-1-0_094083_2018-03-04_final
2018-03-24 09:20:35	ga_ls7e_ard_3-1-0_090082_2018-03-23_final
2019-01-27 11:10:55	ga_ls7e_ard_3-1-0_109081_2019-01-27_final
2019-02-18 10:28:47	ga_ls7e_ard_3-1-0_103070_2019-02-18_final
2019-02-19 09:35:32	ga_ls7e_ard_3-1-0_094076_2019-02-19_final
2019-02-27 10:25:55	ga_ls7e_ard_3-1-0_102079_2019-02-27_final
2019-03-02 10:56:20	ga_ls7e_ard_3-1-0_107078_2019-03-02_final
2019-08-28 11:20:08	ga_ls7e_ard_3-1-0_112077_2019-08-28_final
2019-09-02 10:01:58	ga_ls7e_ard_3-1-0_099083_2019-09-02_final
2019-09-06 09:33:53	ga_ls7e_ard_3-1-0_095075_2019-09-06_final
2019-09-06 11:13:58	ga_ls7e_ard_3-1-0_111078_2019-09-06_final
2019-09-19 10:43:17	ga_ls7e_ard_3-1-0_106080_2019-09-19_final
2019-09-20 11:24:30	ga_ls7e_ard_3-1-0_113075_2019-09-20_final
2019-09-20 11:26:54	ga_ls7e_ard_3-1-0_113081_2019-09-20_final
2019-09-22 11:12:27	ga_ls7e_ard_3-1-0_111076_2019-09-22_final
2019-09-24 10:58:24	ga_ls7e_ard_3-1-0_109072_2019-09-24_final
2019-09-30 10:20:17	ga_ls7e_ard_3-1-0_103070_2019-09-30_final
2019-10-01 09:28:13	ga_ls7e_ard_3-1-0_094079_2019-09-30_final
2019-10-01 11:07:06	ga_ls7e_ard_3-1-0_110079_2019-10-01_final
2019-10-06 11:25:02	ga_ls7e_ard_3-1-0_113078_2019-10-06_final
2019-10-17 11:07:13	ga_ls7e_ard_3-1-0_110081_2019-10-17_final
2019-10-27 10:05:00	ga_ls7e_ard_3-1-0_100081_2019-10-27_final
2019-11-02 09:26:51	ga_ls7e_ard_3-1-0_094079_2019-11-01_final
2019-11-06 10:41:14	ga_ls7e_ard_3-1-0_106080_2019-11-06_final
2019-11-11 09:20:16	ga_ls7e_ard_3-1-0_093079_2019-11-10_final
2019-11-14 09:51:49	ga_ls7e_ard_3-1-0_098081_2019-11-14_final
2019-11-18 11:05:00	ga_ls7e_ard_3-1-0_110079_2019-11-18_final
2019-12-02 11:15:53	ga_ls7e_ard_3-1-0_112077_2019-12-02_final
2019-12-08 09:02:01	ga_ls7e_ard_3-1-0_090083_2019-12-07_final
2019-12-11 09:33:10	ga_ls7e_ard_3-1-0_095084_2019-12-11_final
2019-12-16 09:47:52	ga_ls7e_ard_3-1-0_098075_2019-12-16_final
2019-12-21 10:08:09	ga_ls7e_ard_3-1-0_101080_2019-12-21_final
2019-12-22 09:12:29	ga_ls7e_ard_3-1-0_092080_2019-12-21_final
2020-01-01 09:47:26	ga_ls7e_ard_3-1-0_098076_2020-01-01_final
2020-01-09 10:37:39	ga_ls7e_ard_3-1-0_106079_2020-01-09_final
2020-01-15 09:58:41	ga_ls7e_ard_3-1-0_100075_2020-01-15_final
2020-01-20 10:18:35	ga_ls7e_ard_3-1-0_103079_2020-01-20_final
2020-01-21 09:23:19	ga_ls7e_ard_3-1-0_094080_2020-01-20_final
2020-01-28 09:27:57	ga_ls7e_ard_3-1-0_095077_2020-01-27_final
2020-02-04 09:32:11	ga_ls7e_ard_3-1-0_096073_2020-02-04_final
2020-02-06 11:00:59	ga_ls7e_ard_3-1-0_110079_2020-02-06_final
2020-02-18 09:47:24	ga_ls7e_ard_3-1-0_098082_2020-02-18_final
2020-02-28 10:22:46	ga_ls7e_ard_3-1-0_104079_2020-02-28_final
2020-03-15 10:18:18	ga_ls7e_ard_3-1-0_104070_2020-03-15_final
2020-03-24 10:13:37	ga_ls7e_ard_3-1-0_103075_2020-03-24_final
2020-03-28 09:49:04	ga_ls7e_ard_3-1-0_099076_2020-03-28_final
2020-04-01 11:03:24	ga_ls7e_ard_3-1-0_111077_2020-04-01_final
2020-04-15 11:14:58	ga_ls7e_ard_3-1-0_113077_2020-04-15_final
2020-04-18 10:06:00	ga_ls7e_ard_3-1-0_102075_2020-04-18_final
2020-04-24 11:08:15	ga_ls7e_ard_3-1-0_112077_2020-04-24_final
2020-04-25 10:12:34	ga_ls7e_ard_3-1-0_103077_2020-04-25_final
2020-04-28 09:04:01	ga_ls7e_ard_3-1-0_092076_2020-04-27_final
2022-03-17 09:50:43	ga_ls7e_ard_3-2-1_108082_2022-03-17_final
2022-03-29 10:11:55	ga_ls7e_ard_3-2-1_112076_2022-03-29_final
2022-03-31 08:20:29	ga_ls7e_ard_3-2-1_094076_2022-03-30_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