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
1999-12-29 11:11:52	ga_ls7e_ard_3-1-0_110072_1999-12-29_final
2000-01-05 09:39:38	ga_ls7e_ard_3-1-0_095073_2000-01-05_final
2000-04-03 11:11:35	ga_ls7e_ard_3-1-0_110072_2000-04-03_final
2000-08-16 09:37:53	ga_ls7e_ard_3-1-0_095073_2000-08-16_final
2000-11-20 09:37:07	ga_ls7e_ard_3-1-0_095073_2000-11-20_final
2001-05-15 09:36:40	ga_ls7e_ard_3-1-0_095073_2001-05-15_final
2002-02-01 09:01:43	ga_ls7e_ard_3-1-0_089081_2002-01-31_final
2002-12-05 11:07:22	ga_ls7e_ard_3-1-0_110072_2002-12-05_final
2003-04-10 11:25:01	ga_ls7e_ard_3-1-0_112084_2003-04-10_final
2003-07-21 09:11:13	ga_ls7e_ard_3-1-0_090090_2003-07-20_final
2003-08-12 10:09:42	ga_ls7e_ard_3-1-0_100082_2003-08-12_final
2004-02-03 11:05:37	ga_ls7e_ard_3-1-0_109081_2004-02-03_final
2004-04-14 09:27:24	ga_ls7e_ard_3-1-0_094067_2004-04-13_final
2004-05-16 09:27:25	ga_ls7e_ard_3-1-0_094067_2004-05-15_final
2005-09-15 09:35:52	ga_ls7e_ard_3-1-0_095073_2005-09-15_final
2005-11-12 10:14:08	ga_ls7e_ard_3-1-0_101075_2005-11-12_final
2006-01-11 09:02:45	ga_ls7e_ard_3-1-0_089081_2006-01-10_final
2006-01-17 11:41:54	ga_ls7e_ard_3-1-0_115077_2006-01-17_final
2006-03-19 09:28:20	ga_ls7e_ard_3-1-0_094067_2006-03-18_final
2006-07-31 10:30:55	ga_ls7e_ard_3-1-0_104070_2006-07-31_final
2006-08-07 09:02:36	ga_ls7e_ard_3-1-0_089081_2006-08-06_final
2006-08-31 09:49:59	ga_ls7e_ard_3-1-0_097076_2006-08-31_final
2006-10-26 09:05:46	ga_ls7e_ard_3-1-0_089089_2006-10-25_final
2007-05-26 10:14:58	ga_ls7e_ard_3-1-0_101075_2007-05-26_final
2007-12-16 09:03:13	ga_ls7e_ard_3-1-0_089081_2007-12-15_final
2008-01-01 09:03:16	ga_ls7e_ard_3-1-0_089081_2007-12-31_final
2008-04-22 09:03:01	ga_ls7e_ard_3-1-0_089081_2008-04-21_final
2008-04-29 09:11:58	ga_ls7e_ard_3-1-0_090088_2008-04-28_final
2008-09-13 09:05:02	ga_ls7e_ard_3-1-0_089089_2008-09-12_final
2010-05-08 11:21:26	ga_ls7e_ard_3-1-0_111082_2010-05-08_final
2010-08-15 10:13:07	ga_ls7e_ard_3-1-0_100081_2010-08-15_final
2010-10-28 10:46:53	ga_ls7e_ard_3-1-0_106072_2010-10-28_final
2010-11-18 09:30:00	ga_ls7e_ard_3-1-0_093080_2010-11-18_final
2010-12-15 10:48:36	ga_ls7e_ard_3-1-0_106075_2010-12-15_final
2011-05-11 09:40:24	ga_ls7e_ard_3-1-0_095073_2011-05-11_final
2011-08-28 10:48:58	ga_ls7e_ard_3-1-0_106075_2011-08-28_final
2011-10-15 09:13:57	ga_ls7e_ard_3-1-0_090085_2011-10-14_final
2012-12-07 09:42:48	ga_ls7e_ard_3-1-0_095073_2012-12-07_final
2013-02-02 11:15:19	ga_ls7e_ard_3-1-0_110072_2013-02-02_final
2013-03-15 11:12:39	ga_ls7e_ard_3-1-0_109081_2013-03-15_final
2013-11-05 10:51:42	ga_ls7e_ard_3-1-0_106075_2013-11-05_final
2014-02-02 09:09:48	ga_ls7e_ard_3-1-0_089081_2014-02-01_final
2014-09-21 10:53:18	ga_ls7e_ard_3-1-0_106075_2014-09-21_final
2015-02-24 09:37:03	ga_ls7e_ard_3-1-0_094067_2015-02-24_final
2015-03-03 09:45:41	ga_ls7e_ard_3-1-0_095073_2015-03-03_final
2015-06-07 09:46:22	ga_ls7e_ard_3-1-0_095073_2015-06-07_final
2015-10-04 11:36:13	ga_ls7e_ard_3-1-0_112084_2015-10-04_final
2016-03-05 11:31:17	ga_ls7e_ard_3-1-0_111082_2016-03-05_final
2016-03-21 11:31:24	ga_ls7e_ard_3-1-0_111082_2016-03-21_final
2016-08-24 10:18:58	ga_ls7e_ard_3-1-0_099085_2016-08-24_final
2016-09-04 11:38:57	ga_ls7e_ard_3-1-0_112084_2016-09-04_final
2017-05-29 09:42:34	ga_ls7e_ard_3-1-0_093087_2017-05-29_final
2017-06-08 11:54:35	ga_ls7e_ard_3-1-0_115077_2017-06-08_final
2017-06-12 09:49:24	ga_ls7e_ard_3-1-0_095073_2017-06-12_final
2017-06-19 11:38:53	ga_ls7e_ard_3-1-0_112084_2017-06-19_final
2017-08-01 09:42:40	ga_ls7e_ard_3-1-0_093087_2017-08-01_final
2018-04-21 11:19:45	ga_ls7e_ard_3-1-0_110072_2018-04-21_final
2019-02-28 09:32:40	ga_ls7e_ard_3-1-0_093085_2019-02-28_final
2019-03-03 09:57:53	ga_ls7e_ard_3-1-0_098071_2019-03-03_final
2019-03-10 11:45:31	ga_ls7e_ard_3-1-0_115078_2019-03-10_final
2019-03-18 10:57:48	ga_ls7e_ard_3-1-0_107083_2019-03-18_final
2019-03-23 11:11:24	ga_ls7e_ard_3-1-0_110071_2019-03-23_final
2019-03-27 10:46:08	ga_ls7e_ard_3-1-0_106070_2019-03-27_final
2019-08-30 09:27:12	ga_ls7e_ard_3-1-0_094073_2019-08-29_final
2019-09-11 09:55:24	ga_ls7e_ard_3-1-0_098083_2019-09-11_final
2019-09-19 09:03:12	ga_ls7e_ard_3-1-0_090077_2019-09-18_final
2019-09-24 10:58:00	ga_ls7e_ard_3-1-0_109071_2019-09-24_final
2019-10-04 10:00:59	ga_ls7e_ard_3-1-0_099084_2019-10-04_final
2019-10-13 09:49:15	ga_ls7e_ard_3-1-0_098071_2019-10-13_final
2019-10-17 11:03:38	ga_ls7e_ard_3-1-0_110072_2019-10-17_final
2019-10-18 10:11:34	ga_ls7e_ard_3-1-0_101081_2019-10-18_final
2019-10-21 10:37:33	ga_ls7e_ard_3-1-0_106069_2019-10-21_final
2019-11-05 09:53:13	ga_ls7e_ard_3-1-0_099068_2019-11-05_final
2019-11-07 11:25:38	ga_ls7e_ard_3-1-0_113083_2019-11-07_final
2019-11-13 10:43:06	ga_ls7e_ard_3-1-0_107070_2019-11-13_final
2019-11-14 09:51:25	ga_ls7e_ard_3-1-0_098080_2019-11-14_final
2019-11-22 09:05:36	ga_ls7e_ard_3-1-0_090090_2019-11-21_final
2019-12-08 10:36:31	ga_ls7e_ard_3-1-0_106072_2019-12-08_final
2019-12-25 09:43:13	ga_ls7e_ard_3-1-0_097080_2019-12-25_final
2019-12-25 11:22:30	ga_ls7e_ard_3-1-0_113081_2019-12-25_final
2019-12-26 10:24:02	ga_ls7e_ard_3-1-0_104074_2019-12-26_final
2019-12-29 09:17:06	ga_ls7e_ard_3-1-0_093077_2019-12-28_final
2019-12-29 10:53:35	ga_ls7e_ard_3-1-0_109071_2019-12-29_final
2020-01-01 11:28:19	ga_ls7e_ard_3-1-0_114081_2020-01-01_final
2020-01-14 10:52:22	ga_ls7e_ard_3-1-0_109070_2020-01-14_final
2020-01-25 10:33:41	ga_ls7e_ard_3-1-0_106071_2020-01-25_final
2020-01-28 09:30:44	ga_ls7e_ard_3-1-0_095084_2020-01-28_final
2020-01-31 09:59:54	ga_ls7e_ard_3-1-0_100080_2020-01-31_final
2020-02-02 11:25:07	ga_ls7e_ard_3-1-0_114077_2020-02-02_final
2020-03-04 10:39:26	ga_ls7e_ard_3-1-0_107075_2020-03-04_final
2020-03-13 10:30:46	ga_ls7e_ard_3-1-0_106070_2020-03-13_final
2020-03-21 09:46:05	ga_ls7e_ard_3-1-0_098083_2020-03-21_final
2020-03-29 10:29:53	ga_ls7e_ard_3-1-0_106070_2020-03-29_final
2020-04-05 10:40:51	ga_ls7e_ard_3-1-0_107083_2020-04-05_final
2020-04-10 10:56:19	ga_ls7e_ard_3-1-0_110076_2020-04-10_final
2020-04-13 09:46:34	ga_ls7e_ard_3-1-0_099072_2020-04-13_final
2020-04-16 10:17:41	ga_ls7e_ard_3-1-0_104073_2020-04-16_final
2020-04-19 09:14:43	ga_ls7e_ard_3-1-0_093086_2020-04-18_final
2022-03-23 09:13:05	ga_ls7e_ard_3-2-1_102082_2022-03-22_final
2022-04-04 07:58:34	ga_ls7e_ard_3-2-1_090084_2022-04-03_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