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

93 results

Time (local)	Label
2000-05-20 10:31:29	ga_ls7e_ard_3-0-0_103081_2000-05-20_final
2001-01-31 10:27:32	ga_ls7e_ard_3-0-0_103075_2001-01-31_final
2001-04-25 10:03:11	ga_ls7e_ard_3-0-0_099077_2001-04-25_final
2003-01-03 10:38:08	ga_ls7e_ard_3-0-0_105076_2003-01-03_final
2003-03-01 10:29:07	ga_ls7e_ard_3-0-0_104068_2003-03-01_final
2003-03-14 11:41:08	ga_ls7e_ard_3-0-0_115078_2003-03-14_final
2003-03-30 09:59:25	ga_ls7e_ard_3-0-0_099071_2003-03-30_final
2004-03-13 11:09:09	ga_ls7e_ard_3-0-0_110074_2004-03-13_final
2004-04-30 09:34:58	ga_ls7e_ard_3-0-0_094086_2004-04-30_final
2004-05-23 11:15:16	ga_ls7e_ard_3-0-0_111074_2004-05-23_final
2004-08-30 10:08:27	ga_ls7e_ard_3-0-0_100078_2004-08-30_final
2004-09-24 10:02:07	ga_ls7e_ard_3-0-0_099078_2004-09-24_final
2004-11-17 11:06:39	ga_ls7e_ard_3-0-0_109084_2004-11-17_final
2005-01-15 10:48:11	ga_ls7e_ard_3-0-0_106083_2005-01-15_final
2005-06-16 09:58:46	ga_ls7e_ard_3-0-0_098083_2005-06-16_final
2005-07-29 09:33:49	ga_ls7e_ard_3-0-0_095067_2005-07-29_final
2005-12-11 09:41:24	ga_ls7e_ard_3-0-0_096070_2005-12-11_final
2006-01-18 09:12:35	ga_ls7e_ard_3-0-0_090090_2006-01-17_final
2006-02-10 10:52:12	ga_ls7e_ard_3-1-0_107076_2006-02-10_final
2006-03-11 10:23:21	ga_ls7e_ard_3-0-0_102081_2006-03-11_final
2006-03-15 11:35:07	ga_ls7e_ard_3-0-0_114075_2006-03-15_final
2006-05-08 09:23:31	ga_ls7e_ard_3-0-0_092086_2006-05-07_final
2006-05-15 11:06:59	ga_ls7e_ard_3-0-0_109082_2006-05-15_final
2006-07-01 10:23:10	ga_ls7e_ard_3-0-0_102081_2006-07-01_final
2006-12-20 10:46:58	ga_ls7e_ard_3-0-0_106078_2006-12-20_final
2007-01-15 09:48:23	ga_ls7e_ard_3-1-0_096086_2007-01-15_final
2007-02-15 10:40:14	ga_ls7e_ard_3-0-0_105076_2007-02-15_final
2007-04-14 11:16:12	ga_ls7e_ard_3-0-0_111073_2007-04-14_final
2007-06-29 10:03:46	ga_ls7e_ard_3-0-0_099078_2007-06-29_final
2007-07-31 10:01:15	ga_ls7e_ard_3-0-0_099072_2007-07-31_final
2008-05-01 08:56:24	ga_ls7e_ard_3-0-0_088080_2008-04-30_final
2009-12-10 09:23:57	ga_ls7e_ard_3-0-0_092085_2009-12-09_final
2010-04-24 09:30:14	ga_ls7e_ard_3-0-0_093082_2010-04-24_final
2010-05-27 10:11:49	ga_ls7e_ard_3-0-0_100078_2010-05-27_final
2010-07-01 09:08:42	ga_ls7e_ard_3-0-0_089090_2010-06-30_final
2010-09-13 09:36:42	ga_ls7e_ard_3-0-0_095067_2010-09-13_final
2010-11-15 10:38:44	ga_ls7e_ard_3-0-0_104082_2010-11-15_final
2011-01-20 10:22:35	ga_ls7e_ard_3-0-0_102071_2011-01-20_final
2011-04-09 09:40:49	ga_ls7e_ard_3-0-0_095074_2011-04-09_final
2012-02-22 09:00:28	ga_ls7e_ard_3-0-0_088080_2012-02-21_final
2012-03-29 10:13:25	ga_ls7e_ard_3-0-0_100077_2012-03-29_final
2012-04-07 11:46:28	ga_ls7e_ard_3-0-0_115078_2012-04-07_final
2012-04-30 10:13:43	ga_ls7e_ard_3-0-0_100077_2012-04-30_final
2012-06-14 11:19:18	ga_ls7e_ard_3-0-0_111071_2012-06-14_final
2012-08-30 09:17:09	ga_ls7e_ard_3-0-0_090088_2012-08-29_final
2012-09-05 10:15:03	ga_ls7e_ard_3-0-0_100078_2012-09-05_final
2012-10-24 10:56:23	ga_ls7e_ard_3-0-0_107072_2012-10-24_final
2012-11-29 10:30:14	ga_ls7e_ard_3-0-0_103068_2012-11-29_final
2013-03-04 09:48:44	ga_ls7e_ard_3-0-0_096072_2013-03-04_final
2013-08-24 09:21:51	ga_ls7e_ard_3-0-0_091084_2013-08-23_final
2013-10-25 09:35:18	ga_ls7e_ard_3-0-0_093085_2013-10-25_final
2014-09-04 10:11:10	ga_ls7e_ard_3-0-0_099078_2014-09-04_final
2014-09-21 10:55:18	ga_ls7e_ard_3-0-0_106080_2014-09-21_final
2015-01-27 09:16:07	ga_ls7e_ard_3-0-0_090077_2015-01-26_final
2015-03-30 09:29:43	ga_ls7e_ard_3-0-0_092079_2015-03-29_final
2015-08-15 10:09:34	ga_ls7e_ard_3-0-0_098084_2015-08-15_final
2016-06-06 09:21:13	ga_ls7e_ard_3-0-0_090080_2016-06-05_final
2016-10-15 09:54:44	ga_ls7e_ard_3-0-0_095086_2016-10-15_final
2016-11-01 10:35:55	ga_ls7e_ard_3-0-0_102081_2016-11-01_final
2016-11-19 10:21:50	ga_ls7e_ard_3-0-0_100077_2016-11-19_final
2017-02-28 10:41:30	ga_ls7e_ard_3-0-0_103081_2017-02-28_final
2017-04-16 11:31:49	ga_ls7e_ard_3-0-0_112067_2017-04-16_final
2017-05-27 09:46:56	ga_ls7e_ard_3-0-0_095067_2017-05-27_final
2017-06-09 10:55:23	ga_ls7e_ard_3-0-0_106068_2017-06-09_final
2017-07-18 09:29:32	ga_ls7e_ard_3-0-0_091085_2017-07-17_final
2017-07-25 09:36:06	ga_ls7e_ard_3-0-0_092086_2017-07-25_final
2017-09-04 09:29:05	ga_ls7e_ard_3-0-0_091084_2017-09-03_final
2017-09-17 10:35:26	ga_ls7e_ard_3-0-0_102080_2017-09-17_final
2017-10-24 09:15:57	ga_ls7e_ard_3-0-0_089082_2017-10-23_final
2017-10-30 10:18:09	ga_ls7e_ard_3-0-0_099083_2017-10-30_final
2017-12-09 09:30:30	ga_ls7e_ard_3-0-0_091088_2017-12-09_final
2018-01-02 10:12:29	ga_ls7e_ard_3-0-0_099070_2018-01-02_final
2018-02-14 09:52:07	ga_ls7e_ard_3-0-0_096067_2018-02-14_final
2018-09-10 11:30:18	ga_ls7e_ard_3-0-0_112074_2018-09-10_final
2018-12-01 11:13:13	ga_ls7e_ard_3-0-0_110067_2018-12-01_final
2019-01-05 10:05:02	ga_ls7e_ard_3-0-0_099069_2019-01-05_final
2019-04-28 10:46:59	ga_ls7e_ard_3-1-0_106075_2019-04-28_final
2019-06-30 10:03:23	ga_ls7e_ard_3-0-0_099080_2019-06-30_final
2019-07-29 09:26:09	ga_ls7e_ard_3-1-0_094067_2019-07-28_final
2019-10-04 09:58:59	ga_ls7e_ard_3-1-0_099079_2019-10-04_final
2019-11-20 09:17:39	ga_ls7e_ard_3-1-0_092089_2019-11-19_final
2020-01-23 09:08:51	ga_ls7e_ard_3-1-0_092075_2020-01-22_final
2020-05-12 10:53:36	ga_ls7e_ard_3-1-0_110074_2020-05-12_final
2020-05-16 10:29:02	ga_ls7e_ard_3-1-0_106075_2020-05-16_final
2020-06-01 10:28:04	ga_ls7e_ard_3-1-0_106075_2020-06-01_final
2020-09-30 08:36:40	ga_ls7e_ard_3-1-0_089078_2020-09-29_final
2020-12-19 08:31:08	ga_ls7e_ard_3-1-0_089078_2020-12-18_final
2020-12-19 10:11:36	ga_ls7e_ard_3-1-0_105082_2020-12-19_final
2021-10-26 09:49:24	ga_ls7e_ard_3-2-0_106075_2021-10-26_final
2021-12-16 08:35:46	ga_ls7e_ard_3-2-1_095073_2021-12-15_final
2022-01-13 08:55:45	ga_ls7e_ard_3-2-1_099068_2022-01-12_final
2022-02-26 09:16:08	ga_ls7e_ard_3-2-1_103068_2022-02-25_final
2022-03-17 09:47:56	ga_ls7e_ard_3-2-1_108075_2022-03-17_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