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
2001-08-12 09:27:08	ga_ls7e_ard_3-1-0_094067_2001-08-11_final
2002-07-14 09:26:36	ga_ls7e_ard_3-1-0_094067_2002-07-13_final
2003-10-14 09:28:10	ga_ls7e_ard_3-1-0_093087_2003-10-13_final
2003-12-08 09:30:08	ga_ls7e_ard_3-1-0_094075_2003-12-08_final
2004-01-25 09:27:16	ga_ls7e_ard_3-1-0_094067_2004-01-24_final
2004-06-01 09:33:45	ga_ls7e_ard_3-1-0_094083_2004-06-01_final
2004-06-17 09:30:02	ga_ls7e_ard_3-1-0_094074_2004-06-17_final
2004-08-20 09:29:49	ga_ls7e_ard_3-1-0_094074_2004-08-19_final
2004-09-05 09:26:56	ga_ls7e_ard_3-1-0_094067_2004-09-04_final
2004-11-14 10:30:10	ga_ls7e_ard_3-1-0_104070_2004-11-14_final
2004-12-26 09:33:55	ga_ls7e_ard_3-1-0_094083_2004-12-26_final
2005-01-27 09:34:01	ga_ls7e_ard_3-1-0_094083_2005-01-27_final
2005-09-08 09:33:44	ga_ls7e_ard_3-1-0_094083_2005-09-08_final
2005-12-23 10:10:33	ga_ls7e_ard_3-1-0_100081_2005-12-23_final
2006-01-09 10:51:59	ga_ls7e_ard_3-1-0_107076_2006-01-09_final
2006-05-26 09:10:45	ga_ls7e_ard_3-1-0_090085_2006-05-25_final
2006-12-06 10:31:21	ga_ls7e_ard_3-1-0_104070_2006-12-06_final
2007-01-26 09:29:55	ga_ls7e_ard_3-1-0_093086_2007-01-25_final
2007-02-08 10:31:37	ga_ls7e_ard_3-1-0_104070_2007-02-08_final
2007-03-31 09:30:10	ga_ls7e_ard_3-1-0_093086_2007-03-31_final
2007-08-03 10:31:20	ga_ls7e_ard_3-1-0_104070_2007-08-03_final
2007-12-28 09:29:58	ga_ls7e_ard_3-1-0_093086_2007-12-27_final
2008-03-11 10:06:03	ga_ls7e_ard_3-1-0_099084_2008-03-11_final
2009-08-22 09:10:52	ga_ls7e_ard_3-1-0_090085_2009-08-21_final
2009-09-12 09:29:48	ga_ls7e_ard_3-1-0_093086_2009-09-11_final
2010-03-07 09:30:07	ga_ls7e_ard_3-1-0_093082_2010-03-07_final
2010-03-07 09:30:31	ga_ls7e_ard_3-1-0_093083_2010-03-07_final
2010-10-01 09:32:14	ga_ls7e_ard_3-1-0_093087_2010-10-01_final
2010-11-18 09:30:00	ga_ls7e_ard_3-1-0_093080_2010-11-18_final
2011-02-13 09:38:03	ga_ls7e_ard_3-1-0_094083_2011-02-13_final
2011-05-29 09:30:02	ga_ls7e_ard_3-1-0_093078_2011-05-29_final
2011-08-01 09:29:54	ga_ls7e_ard_3-1-0_093078_2011-07-31_final
2011-08-01 09:33:29	ga_ls7e_ard_3-1-0_093087_2011-08-01_final
2011-11-28 09:38:19	ga_ls7e_ard_3-1-0_094083_2011-11-28_final
2012-11-12 11:32:10	ga_ls7e_ard_3-1-0_112084_2012-11-12_final
2013-05-31 10:36:59	ga_ls7e_ard_3-1-0_104070_2013-05-31_final
2014-05-05 09:37:15	ga_ls7e_ard_3-1-0_093087_2014-05-05_final
2014-09-01 09:42:15	ga_ls7e_ard_3-1-0_094083_2014-09-01_final
2015-03-28 09:37:17	ga_ls7e_ard_3-1-0_094067_2015-03-28_final
2015-10-31 09:40:28	ga_ls7e_ard_3-1-0_093087_2015-10-31_final
2016-02-15 09:21:22	ga_ls7e_ard_3-1-0_090082_2016-02-14_final
2017-03-01 09:40:18	ga_ls7e_ard_3-1-0_094067_2017-03-01_final
2018-01-03 09:21:38	ga_ls7e_ard_3-1-0_090082_2018-01-02_final
2018-01-25 10:22:42	ga_ls7e_ard_3-1-0_100081_2018-01-25_final
2018-03-29 09:41:03	ga_ls7e_ard_3-1-0_093087_2018-03-29_final
2018-10-18 09:17:49	ga_ls7e_ard_3-1-0_090085_2018-10-17_final
2019-01-27 09:34:26	ga_ls7e_ard_3-1-0_093087_2019-01-27_final
2019-03-05 11:27:56	ga_ls7e_ard_3-1-0_112080_2019-03-05_final
2019-03-10 10:07:02	ga_ls7e_ard_3-1-0_099079_2019-03-10_final
2019-08-29 10:21:40	ga_ls7e_ard_3-1-0_103070_2019-08-29_final
2019-09-02 09:56:23	ga_ls7e_ard_3-1-0_099069_2019-09-02_final
2019-09-02 10:01:34	ga_ls7e_ard_3-1-0_099082_2019-09-02_final
2019-09-14 10:20:11	ga_ls7e_ard_3-1-0_103068_2019-09-14_final
2019-10-04 09:56:12	ga_ls7e_ard_3-1-0_099072_2019-10-04_final
2019-10-16 10:22:25	ga_ls7e_ard_3-1-0_103077_2019-10-16_final
2019-10-20 09:55:08	ga_ls7e_ard_3-1-0_099071_2019-10-20_final
2019-10-31 11:16:35	ga_ls7e_ard_3-1-0_112075_2019-10-31_final
2019-11-05 09:58:49	ga_ls7e_ard_3-1-0_099082_2019-11-05_final
2019-11-17 10:22:59	ga_ls7e_ard_3-1-0_103082_2019-11-17_final
2019-11-18 09:23:43	ga_ls7e_ard_3-1-0_094073_2019-11-17_final
2019-11-28 10:01:31	ga_ls7e_ard_3-1-0_100076_2019-11-28_final
2019-11-29 10:43:08	ga_ls7e_ard_3-1-0_107072_2019-11-29_final
2019-12-04 09:27:20	ga_ls7e_ard_3-1-0_094084_2019-12-03_final
2019-12-15 10:42:21	ga_ls7e_ard_3-1-0_107072_2019-12-15_final
2019-12-19 10:18:13	ga_ls7e_ard_3-1-0_103074_2019-12-19_final
2019-12-19 10:21:25	ga_ls7e_ard_3-1-0_103082_2019-12-19_final
2019-12-20 09:25:44	ga_ls7e_ard_3-1-0_094082_2019-12-19_final
2019-12-20 09:27:20	ga_ls7e_ard_3-1-0_094086_2019-12-19_final
2019-12-23 09:54:05	ga_ls7e_ard_3-1-0_099076_2019-12-23_final
2019-12-29 09:16:18	ga_ls7e_ard_3-1-0_093075_2019-12-28_final
2019-12-30 10:02:18	ga_ls7e_ard_3-1-0_100082_2019-12-30_final
2019-12-31 10:45:54	ga_ls7e_ard_3-1-0_107083_2019-12-31_final
2020-01-03 11:16:15	ga_ls7e_ard_3-1-0_112082_2020-01-03_final
2020-01-11 10:23:12	ga_ls7e_ard_3-1-0_104074_2020-01-11_final
2020-01-14 09:19:52	ga_ls7e_ard_3-1-0_093086_2020-01-13_final
2020-01-19 11:15:51	ga_ls7e_ard_3-1-0_112083_2020-01-19_final
2020-01-20 10:14:59	ga_ls7e_ard_3-1-0_103070_2020-01-20_final
2020-01-20 10:16:11	ga_ls7e_ard_3-1-0_103073_2020-01-20_final
2020-03-02 09:13:49	ga_ls7e_ard_3-1-0_093077_2020-03-01_final
2020-03-13 08:58:17	ga_ls7e_ard_3-1-0_090086_2020-03-12_final
2020-03-25 09:19:08	ga_ls7e_ard_3-1-0_094078_2020-03-24_final
2020-03-29 08:54:12	ga_ls7e_ard_3-1-0_090078_2020-03-28_final
2020-04-03 09:10:51	ga_ls7e_ard_3-1-0_093074_2020-04-02_final
2020-04-04 09:57:39	ga_ls7e_ard_3-1-0_100083_2020-04-04_final
2020-04-05 10:37:16	ga_ls7e_ard_3-1-0_107074_2020-04-05_final
2020-04-19 09:14:43	ga_ls7e_ard_3-1-0_093086_2020-04-18_final
2020-04-21 10:38:43	ga_ls7e_ard_3-1-0_107080_2020-04-21_final
2020-04-21 10:39:07	ga_ls7e_ard_3-1-0_107081_2020-04-21_final
2020-04-24 11:09:51	ga_ls7e_ard_3-1-0_112081_2020-04-24_final
2022-03-20 08:43:39	ga_ls7e_ard_3-2-1_097085_2022-03-19_final
2022-03-24 09:54:15	ga_ls7e_ard_3-2-1_109077_2022-03-24_final
2022-03-25 08:56:32	ga_ls7e_ard_3-2-1_100072_2022-03-24_final
2022-03-25 09:00:32	ga_ls7e_ard_3-2-1_100082_2022-03-24_final
2022-03-26 09:44:06	ga_ls7e_ard_3-2-1_107083_2022-03-26_final
2022-03-27 08:49:11	ga_ls7e_ard_3-2-1_098085_2022-03-26_final
2022-03-30 09:17:00	ga_ls7e_ard_3-2-1_103078_2022-03-29_final
2022-03-31 08:19:17	ga_ls7e_ard_3-2-1_094073_2022-03-30_final
2022-03-31 08:23:41	ga_ls7e_ard_3-2-1_094084_2022-03-30_final
2022-04-02 09:44:49	ga_ls7e_ard_3-2-1_108071_2022-04-02_final
2022-04-03 08:53:53	ga_ls7e_ard_3-2-1_099083_2022-04-02_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