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
1999-07-09 11:45:11	ga_ls7e_ard_3-0-0_115078_1999-07-09_final
1999-09-27 11:45:24	ga_ls7e_ard_3-0-0_115078_1999-09-27_final
1999-11-21 11:51:24	ga_ls7e_ard_3-0-0_116078_1999-11-21_final
1999-12-19 09:00:04	ga_ls7e_ard_3-0-0_088082_1999-12-18_final
2000-02-22 09:43:49	ga_ls7e_ard_3-0-0_095084_2000-02-22_final
2000-04-10 09:36:47	ga_ls7e_ard_3-0-0_095067_2000-04-10_final
2000-07-11 11:43:54	ga_ls7e_ard_3-0-0_115078_2000-07-11_final
2001-12-09 09:37:47	ga_ls7e_ard_3-1-0_095079_2001-12-09_final
2002-10-21 11:40:11	ga_ls7e_ard_3-0-0_115078_2002-10-21_final
2003-11-09 11:40:53	ga_ls7e_ard_3-0-0_115078_2003-11-09_final
2004-02-01 09:33:29	ga_ls7e_ard_3-0-0_095067_2004-02-01_final
2004-05-07 09:33:35	ga_ls7e_ard_3-0-0_095067_2004-05-07_final
2004-12-01 09:40:42	ga_ls7e_ard_3-0-0_095085_2004-12-01_final
2005-02-02 08:56:12	ga_ls7e_ard_3-0-0_088081_2005-02-01_final
2005-02-15 11:41:36	ga_ls7e_ard_3-1-0_115077_2005-02-15_final
2005-06-27 09:41:23	ga_ls7e_ard_3-0-0_095086_2005-06-27_final
2005-08-14 09:40:56	ga_ls7e_ard_3-0-0_095085_2005-08-14_final
2005-08-26 11:41:15	ga_ls7e_ard_3-1-0_115077_2005-08-26_final
2005-11-02 09:35:46	ga_ls7e_ard_3-0-0_095072_2005-11-02_final
2005-12-20 09:34:02	ga_ls7e_ard_3-0-0_095067_2005-12-20_final
2006-06-10 11:42:01	ga_ls7e_ard_3-0-0_115077_2006-06-10_final
2006-07-12 11:42:13	ga_ls7e_ard_3-0-0_115078_2006-07-12_final
2007-01-20 11:42:15	ga_ls7e_ard_3-1-0_115077_2007-01-20_final
2007-01-24 09:34:41	ga_ls7e_ard_3-0-0_095067_2007-01-24_final
2007-03-25 11:42:32	ga_ls7e_ard_3-1-0_115077_2007-03-25_final
2007-03-28 08:57:16	ga_ls7e_ard_3-0-0_088081_2007-03-27_final
2007-11-04 11:42:25	ga_ls7e_ard_3-0-0_115078_2007-11-04_final
2008-07-21 09:33:44	ga_ls7e_ard_3-0-0_095067_2008-07-21_final
2008-09-07 09:33:23	ga_ls7e_ard_3-0-0_095067_2008-09-07_final
2009-03-02 09:36:51	ga_ls7e_ard_3-1-0_095073_2009-03-02_final
2009-11-28 08:57:54	ga_ls7e_ard_3-0-0_088082_2009-11-27_final
2010-03-21 09:36:34	ga_ls7e_ard_3-0-0_095067_2010-03-21_final
2010-09-13 09:36:42	ga_ls7e_ard_3-0-0_095067_2010-09-13_final
2010-09-13 09:39:05	ga_ls7e_ard_3-1-0_095073_2010-09-13_final
2011-03-23 09:00:41	ga_ls7e_ard_3-0-0_088082_2011-03-22_final
2011-08-14 09:00:08	ga_ls7e_ard_3-0-0_088081_2011-08-13_final
2012-02-06 09:01:13	ga_ls7e_ard_3-0-0_088082_2012-02-05_final
2012-04-26 09:01:27	ga_ls7e_ard_3-0-0_088082_2012-04-25_final
2012-12-06 09:02:43	ga_ls7e_ard_3-0-0_088081_2012-12-05_final
2013-01-04 11:48:34	ga_ls7e_ard_3-0-0_115078_2013-01-04_final
2013-02-09 09:48:36	ga_ls7e_ard_3-0-0_095087_2013-02-09_final
2014-01-26 09:03:55	ga_ls7e_ard_3-0-0_088082_2014-01-25_final
2014-02-12 09:49:12	ga_ls7e_ard_3-0-0_095087_2014-02-12_final
2014-05-15 11:49:43	ga_ls7e_ard_3-0-0_115078_2014-05-15_final
2015-07-25 09:51:45	ga_ls7e_ard_3-0-0_095086_2015-07-25_final
2015-11-10 11:53:25	ga_ls7e_ard_3-0-0_115079_2015-11-10_final
2015-11-14 09:52:17	ga_ls7e_ard_3-0-0_095085_2015-11-14_final
2016-12-02 09:46:55	ga_ls7e_ard_3-0-0_095067_2016-12-02_final
2016-12-30 11:55:08	ga_ls7e_ard_3-0-0_115079_2016-12-30_final
2017-02-20 09:48:48	ga_ls7e_ard_3-1-0_095073_2017-02-20_final
2017-03-08 09:46:32	ga_ls7e_ard_3-0-0_095067_2017-03-08_final
2017-08-27 11:54:37	ga_ls7e_ard_3-1-0_115077_2017-08-27_final
2017-10-02 09:47:00	ga_ls7e_ard_3-0-0_095067_2017-10-02_final
2017-11-03 09:47:02	ga_ls7e_ard_3-0-0_095067_2017-11-03_final
2018-01-22 09:46:16	ga_ls7e_ard_3-0-0_095067_2018-01-22_final
2018-02-19 11:52:41	ga_ls7e_ard_3-0-0_115075_2018-02-19_final
2018-11-02 11:49:37	ga_ls7e_ard_3-0-0_115079_2018-11-02_final
2019-02-26 09:37:54	ga_ls7e_ard_3-1-0_095067_2019-02-26_final
2019-03-14 09:37:24	ga_ls7e_ard_3-1-0_095067_2019-03-14_final
2020-01-28 09:31:56	ga_ls7e_ard_3-1-0_095087_2020-01-28_final
2021-03-03 10:40:53	ga_ls7e_ard_3-2-0_111076_2021-03-03_final
2021-04-08 08:39:35	ga_ls7e_ard_3-2-0_091089_2021-04-07_final
2021-04-15 08:43:59	ga_ls7e_ard_3-2-0_092086_2021-04-14_final
2021-04-16 11:01:39	ga_ls7e_ard_3-2-0_115075_2021-04-16_final
2021-04-28 09:43:40	ga_ls7e_ard_3-2-0_103068_2021-04-28_final
2021-05-02 09:19:01	ga_ls7e_ard_3-2-0_099069_2021-05-01_final
2021-05-26 08:35:32	ga_ls7e_ard_3-2-0_091089_2021-05-25_final
2021-06-11 08:33:25	ga_ls7e_ard_3-2-0_091087_2021-06-10_final
2021-06-12 09:13:24	ga_ls7e_ard_3-2-0_098079_2021-06-11_final
2021-06-14 09:03:16	ga_ls7e_ard_3-2-0_096085_2021-06-13_final
2021-06-14 10:40:33	ga_ls7e_ard_3-2-0_112081_2021-06-14_final
2021-06-28 09:08:05	ga_ls7e_ard_3-2-0_098069_2021-06-27_final
2021-06-29 08:18:46	ga_ls7e_ard_3-2-0_089085_2021-06-28_final
2021-06-30 10:39:37	ga_ls7e_ard_3-2-0_112082_2021-06-30_final
2021-07-04 10:10:11	ga_ls7e_ard_3-2-0_108071_2021-07-04_final
2021-07-11 08:42:28	ga_ls7e_ard_3-2-0_093085_2021-07-10_final
2021-07-14 09:12:43	ga_ls7e_ard_3-2-0_098084_2021-07-13_final
2021-07-18 10:20:57	ga_ls7e_ard_3-2-0_110070_2021-07-18_final
2021-08-10 10:29:30	ga_ls7e_ard_3-2-0_111081_2021-08-10_final
2021-08-16 09:49:53	ga_ls7e_ard_3-2-0_105076_2021-08-16_final
2021-08-30 08:27:21	ga_ls7e_ard_3-2-0_091089_2021-08-29_final
2021-09-20 10:16:56	ga_ls7e_ard_3-2-0_110074_2021-09-20_final
2021-10-05 09:31:32	ga_ls7e_ard_3-2-0_103072_2021-10-05_final
2021-10-29 08:37:57	ga_ls7e_ard_3-2-0_095067_2021-10-28_final
2021-11-03 10:38:53	ga_ls7e_ard_3-2-0_114077_2021-11-03_final
2021-11-16 10:05:56	ga_ls7e_ard_3-2-1_109075_2021-11-16_final
2021-12-06 09:36:31	ga_ls7e_ard_3-2-1_105068_2021-12-06_final
2021-12-22 08:00:06	ga_ls7e_ard_3-2-1_089078_2021-12-21_final
2022-01-03 08:27:36	ga_ls7e_ard_3-2-1_093088_2022-01-02_final
2022-01-13 08:55:45	ga_ls7e_ard_3-2-1_099068_2022-01-12_final
2022-01-14 08:02:50	ga_ls7e_ard_3-2-1_090075_2022-01-13_final
2022-02-05 09:05:40	ga_ls7e_ard_3-2-1_100083_2022-02-04_final
2022-02-06 08:11:32	ga_ls7e_ard_3-2-1_091087_2022-02-05_final
2022-02-08 09:30:16	ga_ls7e_ard_3-2-1_105068_2022-02-08_final
2022-02-08 09:33:04	ga_ls7e_ard_3-2-1_105075_2022-02-08_final
2022-02-09 10:19:49	ga_ls7e_ard_3-2-1_112084_2022-02-09_final
2022-02-12 09:08:43	ga_ls7e_ard_3-2-1_101077_2022-02-11_final
2022-02-19 09:11:01	ga_ls7e_ard_3-2-1_102069_2022-02-18_final
2022-03-02 08:51:01	ga_ls7e_ard_3-2-1_099068_2022-03-01_final
2022-03-02 10:33:53	ga_ls7e_ard_3-2-1_115078_2022-03-02_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