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
2001-03-09 09:11:02	ga_ls7e_ard_3-1-0_090085_2001-03-08_final
2001-11-04 09:09:03	ga_ls7e_ard_3-1-0_090085_2001-11-03_final
2003-08-12 10:09:42	ga_ls7e_ard_3-1-0_100082_2003-08-12_final
2003-09-25 10:29:49	ga_ls7e_ard_3-1-0_104071_2003-09-25_final
2004-02-19 09:29:08	ga_ls7e_ard_3-1-0_093087_2004-02-18_final
2004-03-22 09:27:43	ga_ls7e_ard_3-1-0_093083_2004-03-21_final
2004-04-02 09:09:57	ga_ls7e_ard_3-1-0_090085_2004-04-01_final
2004-04-07 09:29:16	ga_ls7e_ard_3-1-0_093087_2004-04-06_final
2004-04-30 09:29:47	ga_ls7e_ard_3-1-0_094073_2004-04-29_final
2005-04-17 09:27:46	ga_ls7e_ard_3-1-0_094067_2005-04-16_final
2005-05-28 09:28:00	ga_ls7e_ard_3-1-0_093083_2005-05-27_final
2005-08-23 09:27:30	ga_ls7e_ard_3-1-0_094067_2005-08-22_final
2005-10-14 09:09:47	ga_ls7e_ard_3-1-0_090085_2005-10-13_final
2005-10-26 09:29:54	ga_ls7e_ard_3-1-0_094073_2005-10-25_final
2005-11-17 10:30:44	ga_ls7e_ard_3-1-0_104070_2005-11-17_final
2007-04-23 09:28:43	ga_ls7e_ard_3-1-0_094067_2007-04-22_final
2007-06-03 09:29:53	ga_ls7e_ard_3-1-0_093086_2007-06-02_final
2007-11-15 11:26:22	ga_ls7e_ard_3-1-0_112084_2007-11-15_final
2008-01-23 10:06:16	ga_ls7e_ard_3-1-0_099084_2008-01-23_final
2008-03-01 09:26:14	ga_ls7e_ard_3-1-0_093077_2008-02-29_final
2008-03-12 09:10:49	ga_ls7e_ard_3-1-0_090085_2008-03-11_final
2008-05-30 10:05:48	ga_ls7e_ard_3-1-0_099084_2008-05-30_final
2009-02-27 09:10:43	ga_ls7e_ard_3-1-0_090085_2009-02-26_final
2010-01-03 10:11:25	ga_ls7e_ard_3-1-0_100079_2010-01-03_final
2010-04-13 11:28:28	ga_ls7e_ard_3-1-0_112084_2010-04-13_final
2010-06-06 09:12:50	ga_ls7e_ard_3-1-0_090085_2010-06-05_final
2010-11-15 10:33:57	ga_ls7e_ard_3-1-0_104070_2010-11-15_final
2011-10-31 09:14:03	ga_ls7e_ard_3-1-0_090085_2011-10-30_final
2011-11-05 09:29:52	ga_ls7e_ard_3-1-0_093078_2011-11-04_final
2013-01-17 09:34:23	ga_ls7e_ard_3-1-0_094067_2013-01-17_final
2013-02-02 09:34:26	ga_ls7e_ard_3-1-0_094067_2013-02-02_final
2013-11-10 09:36:12	ga_ls7e_ard_3-1-0_093087_2013-11-10_final
2013-12-17 11:29:47	ga_ls7e_ard_3-1-0_112077_2013-12-17_final
2014-09-17 09:35:55	ga_ls7e_ard_3-1-0_094067_2014-09-17_final
2014-10-07 09:18:37	ga_ls7e_ard_3-1-0_090085_2014-10-06_final
2015-03-26 11:35:18	ga_ls7e_ard_3-1-0_112084_2015-03-26_final
2015-08-01 11:36:02	ga_ls7e_ard_3-1-0_112084_2015-08-01_final
2015-10-10 09:20:47	ga_ls7e_ard_3-1-0_090085_2015-10-09_final
2015-10-15 09:40:14	ga_ls7e_ard_3-1-0_093087_2015-10-15_final
2015-11-16 09:40:45	ga_ls7e_ard_3-1-0_093087_2015-11-16_final
2016-05-07 10:43:37	ga_ls7e_ard_3-1-0_104070_2016-05-07_final
2016-06-02 09:40:44	ga_ls7e_ard_3-1-0_094067_2016-06-02_final
2016-08-11 10:43:51	ga_ls7e_ard_3-1-0_104070_2016-08-11_final
2017-03-07 10:43:21	ga_ls7e_ard_3-1-0_104070_2017-03-07_final
2017-07-13 10:43:53	ga_ls7e_ard_3-1-0_104070_2017-07-13_final
2017-09-15 10:43:49	ga_ls7e_ard_3-1-0_104070_2017-09-15_final
2018-08-14 10:14:54	ga_ls7e_ard_3-1-0_099085_2018-08-14_final
2018-09-18 10:39:05	ga_ls7e_ard_3-1-0_104070_2018-09-18_final
2018-12-10 09:35:54	ga_ls7e_ard_3-1-0_093087_2018-12-10_final
2019-02-23 09:12:17	ga_ls7e_ard_3-1-0_090080_2019-02-22_final
2019-03-10 10:08:14	ga_ls7e_ard_3-1-0_099082_2019-03-10_final
2019-03-23 09:34:06	ga_ls7e_ard_3-1-0_094075_2019-03-23_final
2019-07-11 11:22:06	ga_ls7e_ard_3-1-0_112077_2019-07-11_final
2019-08-04 10:28:54	ga_ls7e_ard_3-1-0_104070_2019-08-04_final
2019-09-02 10:01:34	ga_ls7e_ard_3-1-0_099082_2019-09-02_final
2019-09-03 09:07:06	ga_ls7e_ard_3-1-0_090085_2019-09-02_final
2019-09-09 10:03:27	ga_ls7e_ard_3-1-0_100072_2019-09-09_final
2019-09-13 11:15:27	ga_ls7e_ard_3-1-0_112067_2019-09-13_final
2019-09-14 10:20:11	ga_ls7e_ard_3-1-0_103068_2019-09-14_final
2019-09-26 10:47:09	ga_ls7e_ard_3-1-0_107075_2019-09-26_final
2019-09-30 10:24:16	ga_ls7e_ard_3-1-0_103080_2019-09-30_final
2019-10-16 10:24:24	ga_ls7e_ard_3-1-0_103082_2019-10-16_final
2019-10-28 10:46:13	ga_ls7e_ard_3-1-0_107076_2019-10-28_final
2019-11-13 10:48:41	ga_ls7e_ard_3-1-0_107084_2019-11-13_final
2019-11-18 09:24:07	ga_ls7e_ard_3-1-0_094074_2019-11-17_final
2019-11-27 09:18:42	ga_ls7e_ard_3-1-0_093077_2019-11-26_final
2019-11-29 10:43:08	ga_ls7e_ard_3-1-0_107072_2019-11-29_final
2019-12-03 10:18:37	ga_ls7e_ard_3-1-0_103073_2019-12-03_final
2019-12-08 09:02:25	ga_ls7e_ard_3-1-0_090084_2019-12-07_final
2019-12-13 09:17:31	ga_ls7e_ard_3-1-0_093076_2019-12-12_final
2019-12-14 10:01:32	ga_ls7e_ard_3-1-0_100078_2019-12-14_final
2019-12-19 10:21:25	ga_ls7e_ard_3-1-0_103082_2019-12-19_final
2019-12-26 10:22:02	ga_ls7e_ard_3-1-0_104069_2019-12-26_final
2019-12-30 10:01:06	ga_ls7e_ard_3-1-0_100079_2019-12-30_final
2020-01-08 09:56:03	ga_ls7e_ard_3-1-0_099083_2020-01-08_final
2020-01-20 10:17:23	ga_ls7e_ard_3-1-0_103076_2020-01-20_final
2020-01-31 09:59:30	ga_ls7e_ard_3-1-0_100079_2020-01-31_final
2020-02-12 10:20:25	ga_ls7e_ard_3-1-0_104071_2020-02-12_final
2020-02-21 10:13:22	ga_ls7e_ard_3-1-0_103070_2020-02-21_final
2020-02-26 08:58:20	ga_ls7e_ard_3-1-0_090084_2020-02-25_final
2020-03-24 10:11:37	ga_ls7e_ard_3-1-0_103070_2020-03-24_final
2020-03-24 10:12:49	ga_ls7e_ard_3-1-0_103073_2020-03-24_final
2020-04-10 09:20:37	ga_ls7e_ard_3-1-0_094084_2020-04-09_final
2020-04-16 10:15:41	ga_ls7e_ard_3-1-0_104068_2020-04-16_final
2020-04-16 10:21:17	ga_ls7e_ard_3-1-0_104082_2020-04-16_final
2020-04-26 09:15:42	ga_ls7e_ard_3-1-0_094074_2020-04-25_final
2022-03-17 08:13:26	ga_ls7e_ard_3-2-1_092086_2022-03-16_final
2022-03-18 10:30:41	ga_ls7e_ard_3-2-1_115074_2022-03-18_final
2022-03-24 09:52:15	ga_ls7e_ard_3-2-1_109072_2022-03-24_final
2022-03-24 09:52:39	ga_ls7e_ard_3-2-1_109073_2022-03-24_final
2022-03-27 10:25:40	ga_ls7e_ard_3-2-1_114079_2022-03-27_final
2022-03-29 08:31:03	ga_ls7e_ard_3-2-1_096071_2022-03-28_final
2022-03-31 08:22:53	ga_ls7e_ard_3-2-1_094082_2022-03-30_final
2022-03-31 09:58:58	ga_ls7e_ard_3-2-1_110075_2022-03-31_final
2022-04-01 09:04:03	ga_ls7e_ard_3-2-1_101077_2022-03-31_final
2022-04-02 09:45:37	ga_ls7e_ard_3-2-1_108073_2022-04-02_final
2022-04-04 07:56:10	ga_ls7e_ard_3-2-1_090078_2022-04-03_final
2022-04-04 07:57:46	ga_ls7e_ard_3-2-1_090082_2022-04-03_final
2022-04-04 09:32:15	ga_ls7e_ard_3-2-1_106071_2022-04-04_final
2022-04-05 08:36:56	ga_ls7e_ard_3-2-1_097072_2022-04-04_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