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

92 results

Time (local)	Label
1999-10-15 09:50:33	ga_ls7e_ard_3-0-0_097069_1999-10-15_final
1999-10-18 10:26:11	ga_ls7e_ard_3-0-0_102081_1999-10-18_final
1999-12-26 09:04:09	ga_ls7e_ard_3-0-0_089077_1999-12-25_final
2000-02-28 09:05:57	ga_ls7e_ard_3-0-0_089082_2000-02-27_final
2000-11-25 09:57:40	ga_ls7e_ard_3-0-0_098078_2000-11-25_final
2000-12-03 09:11:02	ga_ls7e_ard_3-0-0_090085_2000-12-02_final
2001-01-01 10:15:53	ga_ls7e_ard_3-0-0_101077_2001-01-01_final
2001-12-02 11:11:13	ga_ls7e_ard_3-0-0_110081_2001-12-02_final
2001-12-26 10:17:33	ga_ls7e_ard_3-0-0_102070_2001-12-26_final
2003-10-21 11:12:11	ga_ls7e_ard_3-0-0_110084_2003-10-21_final
2004-02-07 10:38:30	ga_ls7e_ard_3-0-0_105075_2004-02-07_final
2004-06-13 11:33:40	ga_ls7e_ard_3-0-0_114074_2004-06-13_final
2004-09-23 10:58:57	ga_ls7e_ard_3-0-0_108081_2004-09-23_final
2004-10-10 09:59:14	ga_ls7e_ard_3-0-0_099071_2004-10-10_final
2005-02-08 09:58:52	ga_ls7e_ard_3-0-0_098083_2005-02-08_final
2005-02-15 09:59:32	ga_ls7e_ard_3-0-0_099069_2005-02-15_final
2005-04-22 09:47:06	ga_ls7e_ard_3-0-0_097069_2005-04-22_final
2005-05-16 09:06:07	ga_ls7e_ard_3-0-0_089090_2005-05-15_final
2005-06-02 09:47:19	ga_ls7e_ard_3-0-0_096085_2005-06-02_final
2005-09-15 09:35:28	ga_ls7e_ard_3-0-0_095072_2005-09-15_final
2005-09-15 09:36:16	ga_ls7e_ard_3-0-0_095074_2005-09-15_final
2006-01-16 10:55:50	ga_ls7e_ard_3-0-0_108070_2006-01-16_final
2006-01-18 09:09:24	ga_ls7e_ard_3-0-0_090082_2006-01-17_final
2006-04-27 11:15:19	ga_ls7e_ard_3-0-0_111072_2006-04-27_final
2006-07-04 10:55:14	ga_ls7e_ard_3-0-0_107084_2006-07-04_final
2007-01-05 09:12:06	ga_ls7e_ard_3-0-0_090088_2007-01-04_final
2007-02-03 10:15:50	ga_ls7e_ard_3-0-0_101077_2007-02-03_final
2007-03-01 09:16:10	ga_ls7e_ard_3-0-0_091082_2007-02-28_final
2007-03-25 11:41:20	ga_ls7e_ard_3-0-0_115074_2007-03-25_final
2007-05-28 10:03:47	ga_ls7e_ard_3-0-0_099078_2007-05-28_final
2007-06-07 09:02:23	ga_ls7e_ard_3-0-0_089079_2007-06-06_final
2007-09-16 10:56:09	ga_ls7e_ard_3-0-0_108071_2007-09-16_final
2008-06-04 10:18:43	ga_ls7e_ard_3-0-0_102070_2008-06-04_final
2008-10-18 11:11:01	ga_ls7e_ard_3-0-0_110080_2008-10-18_final
2009-02-22 10:29:25	ga_ls7e_ard_3-0-0_103081_2009-02-22_final
2009-08-23 09:47:44	ga_ls7e_ard_3-0-0_097069_2009-08-23_final
2009-09-22 11:41:21	ga_ls7e_ard_3-0-0_115075_2009-09-22_final
2010-02-19 11:05:16	ga_ls7e_ard_3-0-0_109073_2010-02-19_final
2010-05-02 10:20:03	ga_ls7e_ard_3-0-0_101083_2010-05-02_final
2011-01-28 11:10:29	ga_ls7e_ard_3-0-0_110067_2011-01-28_final
2011-04-07 09:51:59	ga_ls7e_ard_3-0-0_097071_2011-04-07_final
2011-04-13 10:54:11	ga_ls7e_ard_3-0-0_107072_2011-04-13_final
2011-06-01 09:59:45	ga_ls7e_ard_3-0-0_098075_2011-06-01_final
2012-05-06 11:17:40	ga_ls7e_ard_3-0-0_110082_2012-05-06_final
2012-06-12 11:34:50	ga_ls7e_ard_3-0-0_113079_2012-06-12_final
2012-10-14 10:21:35	ga_ls7e_ard_3-0-0_101078_2012-10-14_final
2012-10-16 10:08:51	ga_ls7e_ard_3-0-0_099077_2012-10-16_final
2012-11-05 11:20:43	ga_ls7e_ard_3-0-0_111071_2012-11-05_final
2013-03-18 09:59:52	ga_ls7e_ard_3-0-0_098069_2013-03-18_final
2014-01-23 10:06:40	ga_ls7e_ard_3-0-0_099069_2014-01-23_final
2014-02-16 09:20:01	ga_ls7e_ard_3-0-0_091076_2014-02-15_final
2014-03-16 09:47:40	ga_ls7e_ard_3-0-0_095083_2014-03-16_final
2014-06-16 10:07:43	ga_ls7e_ard_3-0-0_099070_2014-06-16_final
2014-06-26 09:09:11	ga_ls7e_ard_3-0-0_089078_2014-06-25_final
2014-11-17 09:10:21	ga_ls7e_ard_3-0-0_089079_2014-11-16_final
2014-11-23 10:08:12	ga_ls7e_ard_3-0-0_099069_2014-11-23_final
2014-12-25 10:09:15	ga_ls7e_ard_3-0-0_099071_2014-12-25_final
2014-12-30 10:28:58	ga_ls7e_ard_3-0-0_102074_2014-12-30_final
2015-01-16 09:30:37	ga_ls7e_ard_3-0-0_093067_2015-01-16_final
2015-02-10 09:30:33	ga_ls7e_ard_3-0-0_092082_2015-02-10_final
2015-03-15 10:09:41	ga_ls7e_ard_3-0-0_099071_2015-03-15_final
2015-06-26 10:19:42	ga_ls7e_ard_3-0-0_100079_2015-06-26_final
2015-11-24 10:28:19	ga_ls7e_ard_3-0-0_101082_2015-11-24_final
2015-12-21 10:05:00	ga_ls7e_ard_3-0-0_098069_2015-12-21_final
2016-11-23 11:35:11	ga_ls7e_ard_3-0-0_112075_2016-11-23_final
2017-02-14 10:29:01	ga_ls7e_ard_3-0-0_101081_2017-02-14_final
2017-03-27 10:19:32	ga_ls7e_ard_3-0-0_100072_2017-03-27_final
2017-03-29 10:11:58	ga_ls7e_ard_3-0-0_098084_2017-03-29_final
2017-05-30 10:19:27	ga_ls7e_ard_3-0-0_100071_2017-05-30_final
2017-09-29 10:55:47	ga_ls7e_ard_3-0-0_106069_2017-09-29_final
2018-10-15 10:22:41	ga_ls7e_ard_3-0-0_101077_2018-10-15_final
2018-10-22 10:25:55	ga_ls7e_ard_3-1-0_102070_2018-10-22_final
2019-04-21 10:38:16	ga_ls7e_ard_3-0-0_105068_2019-04-21_final
2019-06-29 09:21:21	ga_ls7e_ard_3-0-0_092083_2019-06-28_final
2019-09-08 09:25:26	ga_ls7e_ard_3-1-0_093085_2019-09-07_final
2019-11-04 09:17:59	ga_ls7e_ard_3-1-0_092088_2019-11-03_final
2019-12-29 09:21:29	ga_ls7e_ard_3-1-0_093088_2019-12-28_final
2020-01-09 08:58:23	ga_ls7e_ard_3-1-0_090078_2020-01-08_final
2020-01-17 09:44:14	ga_ls7e_ard_3-1-0_098070_2020-01-17_final
2020-01-31 09:57:06	ga_ls7e_ard_3-1-0_100073_2020-01-31_final
2020-04-22 09:39:03	ga_ls7e_ard_3-1-0_098070_2020-04-22_final
2020-06-30 09:58:16	ga_ls7e_ard_3-1-0_101082_2020-06-30_final
2020-08-11 10:32:45	ga_ls7e_ard_3-1-0_107082_2020-08-11_final
2020-09-19 08:54:43	ga_ls7e_ard_3-1-0_092075_2020-09-18_final
2020-10-01 10:54:21	ga_ls7e_ard_3-1-0_112067_2020-10-01_final
2020-10-22 09:32:39	ga_ls7e_ard_3-1-0_099067_2020-10-22_final
2020-11-07 09:36:46	ga_ls7e_ard_3-1-0_099080_2020-11-07_final
2021-04-13 10:30:36	ga_ls7e_ard_3-2-0_110074_2021-04-13_final
2021-09-14 09:16:28	ga_ls7e_ard_3-2-0_100076_2021-09-13_final
2022-02-07 08:49:07	ga_ls7e_ard_3-2-1_098073_2022-02-06_final
2022-02-14 08:56:33	ga_ls7e_ard_3-2-1_099078_2022-02-13_final
2022-04-05 10:16:37	ga_ls7e_ard_3-2-1_113074_2022-04-05_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