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
1999-11-25 11:29:01	ga_ls7e_ard_3-1-0_112084_1999-11-25_final
2001-10-21 10:29:32	ga_ls7e_ard_3-1-0_104070_2001-10-21_final
2002-06-22 10:10:34	ga_ls7e_ard_3-1-0_100084_2002-06-22_final
2002-11-25 10:29:25	ga_ls7e_ard_3-1-0_104070_2002-11-25_final
2003-09-19 09:26:27	ga_ls7e_ard_3-1-0_094067_2003-09-18_final
2003-11-15 09:28:36	ga_ls7e_ard_3-1-0_093087_2003-11-14_final
2004-05-22 10:30:24	ga_ls7e_ard_3-1-0_104070_2004-05-22_final
2005-04-17 09:27:46	ga_ls7e_ard_3-1-0_094067_2005-04-16_final
2005-11-11 09:27:41	ga_ls7e_ard_3-1-0_094067_2005-11-10_final
2006-01-28 11:23:26	ga_ls7e_ard_3-1-0_112077_2006-01-28_final
2006-06-27 09:10:37	ga_ls7e_ard_3-1-0_090085_2006-06-26_final
2007-02-22 09:11:09	ga_ls7e_ard_3-1-0_090085_2007-02-21_final
2007-08-13 09:28:17	ga_ls7e_ard_3-1-0_094067_2007-08-12_final
2007-09-20 10:31:01	ga_ls7e_ard_3-1-0_104070_2007-09-20_final
2007-10-09 09:30:08	ga_ls7e_ard_3-1-0_093088_2007-10-09_final
2008-01-04 09:28:35	ga_ls7e_ard_3-1-0_094067_2008-01-03_final
2009-02-23 09:28:13	ga_ls7e_ard_3-1-0_094067_2009-02-22_final
2009-04-22 10:12:28	ga_ls7e_ard_3-1-0_100084_2009-04-22_final
2009-05-02 09:11:06	ga_ls7e_ard_3-1-0_090085_2009-05-01_final
2009-05-08 10:12:31	ga_ls7e_ard_3-1-0_100084_2009-05-08_final
2009-09-01 11:26:26	ga_ls7e_ard_3-1-0_112084_2009-09-01_final
2009-12-01 09:30:02	ga_ls7e_ard_3-1-0_093085_2009-12-01_final
2010-10-01 09:27:27	ga_ls7e_ard_3-1-0_093075_2010-09-30_final
2011-01-21 09:33:22	ga_ls7e_ard_3-1-0_093087_2011-01-21_final
2011-06-27 10:34:45	ga_ls7e_ard_3-1-0_104070_2011-06-27_final
2011-06-30 09:33:33	ga_ls7e_ard_3-1-0_093087_2011-06-30_final
2011-08-24 09:31:37	ga_ls7e_ard_3-1-0_094067_2011-08-24_final
2011-10-04 09:33:18	ga_ls7e_ard_3-1-0_093087_2011-10-04_final
2012-01-24 09:34:01	ga_ls7e_ard_3-1-0_093087_2012-01-24_final
2012-02-16 09:38:45	ga_ls7e_ard_3-1-0_094083_2012-02-16_final
2012-07-25 09:33:07	ga_ls7e_ard_3-1-0_094067_2012-07-25_final
2013-03-10 09:16:50	ga_ls7e_ard_3-1-0_090085_2013-03-09_final
2013-10-22 10:37:17	ga_ls7e_ard_3-1-0_104070_2013-10-22_final
2014-03-25 09:35:09	ga_ls7e_ard_3-1-0_094067_2014-03-25_final
2014-11-04 09:36:26	ga_ls7e_ard_3-1-0_094067_2014-11-04_final
2015-10-20 11:36:33	ga_ls7e_ard_3-1-0_112084_2015-10-20_final
2015-11-21 11:37:03	ga_ls7e_ard_3-1-0_112084_2015-11-21_final
2016-03-02 09:22:39	ga_ls7e_ard_3-1-0_090085_2016-03-01_final
2016-06-27 09:42:36	ga_ls7e_ard_3-1-0_093087_2016-06-27_final
2017-11-21 09:42:35	ga_ls7e_ard_3-1-0_093087_2017-11-21_final
2018-05-11 09:20:58	ga_ls7e_ard_3-1-0_090085_2018-05-10_final
2018-06-08 09:38:04	ga_ls7e_ard_3-1-0_094067_2018-06-08_final
2019-02-19 09:37:32	ga_ls7e_ard_3-1-0_094081_2019-02-19_final
2019-02-23 09:13:05	ga_ls7e_ard_3-1-0_090082_2019-02-22_final
2019-03-05 11:28:44	ga_ls7e_ard_3-1-0_112082_2019-03-05_final
2019-03-05 11:29:08	ga_ls7e_ard_3-1-0_112083_2019-03-05_final
2019-03-10 10:08:14	ga_ls7e_ard_3-1-0_099082_2019-03-10_final
2019-03-13 10:35:27	ga_ls7e_ard_3-1-0_104073_2019-03-13_final
2019-06-01 10:31:21	ga_ls7e_ard_3-1-0_104070_2019-06-01_final
2019-08-29 10:25:40	ga_ls7e_ard_3-1-0_103080_2019-08-29_final
2019-09-09 10:08:15	ga_ls7e_ard_3-1-0_100084_2019-09-09_final
2019-09-13 11:22:14	ga_ls7e_ard_3-1-0_112084_2019-09-13_final
2019-09-15 09:26:54	ga_ls7e_ard_3-1-0_094074_2019-09-14_final
2019-09-15 09:29:42	ga_ls7e_ard_3-1-0_094081_2019-09-14_final
2019-09-15 09:30:54	ga_ls7e_ard_3-1-0_094084_2019-09-15_final
2019-09-26 10:50:45	ga_ls7e_ard_3-1-0_107084_2019-09-26_final
2019-10-12 10:44:54	ga_ls7e_ard_3-1-0_107071_2019-10-12_final
2019-10-20 09:54:44	ga_ls7e_ard_3-1-0_099070_2019-10-20_final
2019-10-27 10:03:48	ga_ls7e_ard_3-1-0_100078_2019-10-27_final
2019-11-01 10:18:31	ga_ls7e_ard_3-1-0_103069_2019-11-01_final
2019-11-02 09:25:39	ga_ls7e_ard_3-1-0_094076_2019-11-01_final
2019-11-05 09:53:13	ga_ls7e_ard_3-1-0_099068_2019-11-05_final
2019-11-21 09:53:17	ga_ls7e_ard_3-1-0_099070_2019-11-21_final
2019-11-21 09:57:40	ga_ls7e_ard_3-1-0_099081_2019-11-21_final
2019-11-21 09:58:04	ga_ls7e_ard_3-1-0_099082_2019-11-21_final
2019-11-22 09:00:48	ga_ls7e_ard_3-1-0_090078_2019-11-21_final
2019-12-02 11:18:41	ga_ls7e_ard_3-1-0_112084_2019-12-02_final
2019-12-07 09:57:42	ga_ls7e_ard_3-1-0_099083_2019-12-07_final
2019-12-15 10:46:44	ga_ls7e_ard_3-1-0_107083_2019-12-15_final
2019-12-18 11:17:29	ga_ls7e_ard_3-1-0_112083_2019-12-18_final
2019-12-19 10:17:49	ga_ls7e_ard_3-1-0_103073_2019-12-19_final
2019-12-29 09:21:29	ga_ls7e_ard_3-1-0_093088_2019-12-28_final
2019-12-30 09:58:42	ga_ls7e_ard_3-1-0_100073_2019-12-30_final
2019-12-31 10:41:31	ga_ls7e_ard_3-1-0_107072_2019-12-31_final
2020-01-04 10:15:47	ga_ls7e_ard_3-1-0_103070_2020-01-04_final
2020-01-11 10:22:48	ga_ls7e_ard_3-1-0_104073_2020-01-11_final
2020-01-19 11:12:39	ga_ls7e_ard_3-1-0_112075_2020-01-19_final
2020-01-20 10:18:59	ga_ls7e_ard_3-1-0_103080_2020-01-20_final
2020-01-31 09:59:30	ga_ls7e_ard_3-1-0_100079_2020-01-31_final
2020-02-15 09:13:52	ga_ls7e_ard_3-1-0_093075_2020-02-14_final
2020-02-16 09:56:41	ga_ls7e_ard_3-1-0_100074_2020-02-16_final
2020-03-07 11:13:22	ga_ls7e_ard_3-1-0_112083_2020-03-07_final
2020-03-19 09:58:09	ga_ls7e_ard_3-1-0_100082_2020-03-19_final
2020-03-25 09:17:33	ga_ls7e_ard_3-1-0_094074_2020-03-24_final
2020-03-28 09:50:40	ga_ls7e_ard_3-1-0_099080_2020-03-28_final
2020-03-28 09:52:16	ga_ls7e_ard_3-1-0_099084_2020-03-28_final
2020-04-13 09:50:33	ga_ls7e_ard_3-1-0_099082_2020-04-13_final
2020-04-16 10:17:41	ga_ls7e_ard_3-1-0_104073_2020-04-16_final
2022-03-13 08:33:47	ga_ls7e_ard_3-2-1_096074_2022-03-12_final
2022-03-19 09:32:59	ga_ls7e_ard_3-2-1_106069_2022-03-19_final
2022-03-22 08:30:43	ga_ls7e_ard_3-2-1_095084_2022-03-21_final
2022-03-22 10:08:47	ga_ls7e_ard_3-2-1_111082_2022-03-22_final
2022-03-27 08:43:36	ga_ls7e_ard_3-2-1_098071_2022-03-26_final
2022-03-27 10:24:28	ga_ls7e_ard_3-2-1_114076_2022-03-27_final
2022-03-27 10:26:28	ga_ls7e_ard_3-2-1_114081_2022-03-27_final
2022-03-28 09:26:22	ga_ls7e_ard_3-2-1_105070_2022-03-27_final
2022-03-29 10:15:07	ga_ls7e_ard_3-2-1_112084_2022-03-29_final
2022-03-31 09:58:10	ga_ls7e_ard_3-2-1_110073_2022-03-31_final
2022-03-31 09:59:22	ga_ls7e_ard_3-2-1_110076_2022-03-31_final
2022-03-31 09:59:46	ga_ls7e_ard_3-2-1_110077_2022-03-31_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