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
2001-02-04 11:41:39	ga_ls7e_ard_3-0-0_115075_2001-02-04_final
2002-01-06 11:41:06	ga_ls7e_ard_3-0-0_115078_2002-01-06_final
2002-03-11 11:40:32	ga_ls7e_ard_3-0-0_115076_2002-03-11_final
2002-05-14 11:39:56	ga_ls7e_ard_3-0-0_115075_2002-05-14_final
2002-12-10 11:26:41	ga_ls7e_ard_3-0-0_113074_2002-12-10_final
2003-08-25 09:32:48	ga_ls7e_ard_3-0-0_095067_2003-08-25_final
2004-03-16 11:40:28	ga_ls7e_ard_3-0-0_115075_2004-03-16_final
2004-09-11 08:55:24	ga_ls7e_ard_3-0-0_088081_2004-09-10_final
2005-01-07 11:36:24	ga_ls7e_ard_3-0-0_114080_2005-01-07_final
2005-05-25 08:56:19	ga_ls7e_ard_3-0-0_088081_2005-05-24_final
2005-09-11 11:41:29	ga_ls7e_ard_3-0-0_115078_2005-09-11_final
2005-10-01 09:35:52	ga_ls7e_ard_3-1-0_095073_2005-10-01_final
2006-01-12 11:22:07	ga_ls7e_ard_3-0-0_112074_2006-01-12_final
2006-05-27 11:30:06	ga_ls7e_ard_3-0-0_113078_2006-05-27_final
2006-06-26 11:41:08	ga_ls7e_ard_3-0-0_115075_2006-06-26_final
2006-12-03 11:41:18	ga_ls7e_ard_3-0-0_115075_2006-12-03_final
2007-01-08 09:36:37	ga_ls7e_ard_3-0-0_095072_2007-01-08_final
2007-03-09 11:41:19	ga_ls7e_ard_3-0-0_115074_2007-03-09_final
2007-08-04 09:42:06	ga_ls7e_ard_3-0-0_095086_2007-08-04_final
2007-11-13 11:37:07	ga_ls7e_ard_3-0-0_114080_2007-11-13_final
2008-05-18 09:41:58	ga_ls7e_ard_3-0-0_095086_2008-05-18_final
2008-08-27 11:30:54	ga_ls7e_ard_3-0-0_114067_2008-08-27_final
2008-09-07 11:19:03	ga_ls7e_ard_3-0-0_111084_2008-09-07_final
2008-11-10 11:14:46	ga_ls7e_ard_3-0-0_111073_2008-11-10_final
2008-11-26 11:14:59	ga_ls7e_ard_3-0-0_111073_2008-11-26_final
2008-12-01 11:35:10	ga_ls7e_ard_3-0-0_114077_2008-12-01_final
2009-07-29 11:37:40	ga_ls7e_ard_3-0-0_114081_2009-07-29_final
2009-10-28 09:39:09	ga_ls7e_ard_3-0-0_095078_2009-10-28_final
2009-11-29 11:16:28	ga_ls7e_ard_3-0-0_111073_2009-11-29_final
2010-01-28 11:44:06	ga_ls7e_ard_3-0-0_115078_2010-01-28_final
2010-04-29 11:24:27	ga_ls7e_ard_3-0-0_112074_2010-04-29_final
2010-05-13 11:33:58	ga_ls7e_ard_3-0-0_114067_2010-05-13_final
2010-05-13 11:39:09	ga_ls7e_ard_3-0-0_114080_2010-05-13_final
2010-06-23 11:34:36	ga_ls7e_ard_3-0-0_113084_2010-06-23_final
2010-09-04 11:24:33	ga_ls7e_ard_3-0-0_112074_2010-09-04_final
2010-11-14 11:31:09	ga_ls7e_ard_3-0-0_113074_2010-11-14_final
2011-01-03 09:39:36	ga_ls7e_ard_3-0-0_095072_2011-01-03_final
2011-02-18 11:33:30	ga_ls7e_ard_3-0-0_113078_2011-02-18_final
2011-03-24 09:39:58	ga_ls7e_ard_3-0-0_095072_2011-03-24_final
2011-05-07 11:45:13	ga_ls7e_ard_3-0-0_115076_2011-05-07_final
2013-03-13 09:40:33	ga_ls7e_ard_3-0-0_095067_2013-03-13_final
2013-07-18 09:02:06	ga_ls7e_ard_3-0-0_088081_2013-07-17_final
2013-09-12 11:31:52	ga_ls7e_ard_3-1-0_112084_2013-09-12_final
2013-12-17 11:28:35	ga_ls7e_ard_3-0-0_112074_2013-12-17_final
2014-01-10 09:03:34	ga_ls7e_ard_3-0-0_088082_2014-01-09_final
2014-11-10 09:05:23	ga_ls7e_ard_3-0-0_088082_2014-11-09_final
2014-11-16 11:43:16	ga_ls7e_ard_3-0-0_114075_2014-11-16_final
2015-01-30 11:25:33	ga_ls7e_ard_3-0-0_111076_2015-01-30_final
2015-03-15 11:51:21	ga_ls7e_ard_3-0-0_115078_2015-03-15_final
2015-04-20 09:45:38	ga_ls7e_ard_3-0-0_095072_2015-04-20_final
2015-05-06 09:51:19	ga_ls7e_ard_3-0-0_095086_2015-05-06_final
2015-12-16 11:26:53	ga_ls7e_ard_3-0-0_111073_2015-12-16_final
2016-07-11 09:46:58	ga_ls7e_ard_3-0-0_095067_2016-07-11_final
2016-07-23 11:55:00	ga_ls7e_ard_3-0-0_115078_2016-07-23_final
2017-02-27 11:34:20	ga_ls7e_ard_3-0-0_112074_2017-02-27_final
2017-05-25 11:42:09	ga_ls7e_ard_3-0-0_113077_2017-05-25_final
2017-11-19 09:46:59	ga_ls7e_ard_3-0-0_095067_2017-11-19_final
2017-12-01 11:55:18	ga_ls7e_ard_3-0-0_115079_2017-12-01_final
2018-02-23 09:53:26	ga_ls7e_ard_3-0-0_095086_2018-02-23_final
2018-03-16 11:48:13	ga_ls7e_ard_3-0-0_114080_2018-03-16_final
2018-08-18 09:50:30	ga_ls7e_ard_3-0-0_095086_2018-08-18_final
2018-10-05 09:49:26	ga_ls7e_ard_3-0-0_095086_2018-10-05_final
2018-11-18 11:47:39	ga_ls7e_ard_3-0-0_115075_2018-11-18_final
2018-12-20 11:47:59	ga_ls7e_ard_3-0-0_115078_2018-12-20_final
2019-08-03 11:29:45	ga_ls7e_ard_3-0-0_113083_2019-08-03_final
2020-03-21 11:21:22	ga_ls7e_ard_3-1-0_114074_2020-03-21_final
2020-04-01 09:27:19	ga_ls7e_ard_3-1-0_095084_2020-03-31_final
2020-05-15 11:25:55	ga_ls7e_ard_3-1-0_115078_2020-05-15_final
2020-11-11 09:08:59	ga_ls7e_ard_3-1-0_095073_2020-11-10_final
2020-12-09 11:11:22	ga_ls7e_ard_3-1-0_115075_2020-12-09_final
2021-02-10 08:44:40	ga_ls7e_ard_3-2-0_092075_2021-02-09_final
2021-02-11 09:29:27	ga_ls7e_ard_3-2-0_099079_2021-02-10_final
2021-02-27 09:25:27	ga_ls7e_ard_3-2-0_099072_2021-02-26_final
2021-03-06 09:35:28	ga_ls7e_ard_3-2-0_100083_2021-03-06_final
2021-03-08 09:16:58	ga_ls7e_ard_3-2-0_098068_2021-03-07_final
2021-03-14 10:20:17	ga_ls7e_ard_3-2-0_108073_2021-03-14_final
2021-03-25 10:01:40	ga_ls7e_ard_3-2-0_105075_2021-03-25_final
2021-05-28 08:19:49	ga_ls7e_ard_3-2-0_089081_2021-05-27_final
2021-06-11 08:33:25	ga_ls7e_ard_3-2-0_091087_2021-06-10_final
2021-06-19 09:15:25	ga_ls7e_ard_3-2-0_099070_2021-06-18_final
2021-07-21 09:12:19	ga_ls7e_ard_3-2-0_099069_2021-07-20_final
2021-07-29 08:30:09	ga_ls7e_ard_3-2-0_091089_2021-07-28_final
2021-08-22 09:10:18	ga_ls7e_ard_3-2-0_099071_2021-08-21_final
2021-08-23 09:55:04	ga_ls7e_ard_3-2-0_106075_2021-08-23_final
2021-08-26 10:24:07	ga_ls7e_ard_3-2-0_111071_2021-08-26_final
2021-09-17 09:47:06	ga_ls7e_ard_3-2-0_105076_2021-09-17_final
2021-09-20 08:37:39	ga_ls7e_ard_3-2-0_094073_2021-09-19_final
2021-10-02 10:41:23	ga_ls7e_ard_3-2-0_114076_2021-10-02_final
2021-10-05 09:31:32	ga_ls7e_ard_3-2-0_103072_2021-10-05_final
2021-10-19 09:43:27	ga_ls7e_ard_3-2-0_105074_2021-10-19_final
2021-11-09 09:58:27	ga_ls7e_ard_3-2-0_108070_2021-11-09_final
2021-11-24 09:16:30	ga_ls7e_ard_3-2-1_101077_2021-11-23_final
2021-12-04 08:17:23	ga_ls7e_ard_3-2-1_091086_2021-12-03_final
2021-12-28 10:39:23	ga_ls7e_ard_3-2-1_115076_2021-12-28_final
2021-12-29 08:08:22	ga_ls7e_ard_3-2-1_090085_2021-12-28_final
2022-01-04 09:09:09	ga_ls7e_ard_3-2-1_100084_2022-01-03_final
2022-01-17 10:11:55	ga_ls7e_ard_3-2-1_111074_2022-01-17_final
2022-02-10 09:22:53	ga_ls7e_ard_3-2-1_103081_2022-02-09_final
2022-02-20 09:54:59	ga_ls7e_ard_3-2-1_109071_2022-02-20_final
2022-02-21 09:04:03	ga_ls7e_ard_3-2-1_100083_2022-02-20_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