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
1999-12-20 09:43:43	ga_ls7e_ard_3-0-0_095083_1999-12-20_final
2001-04-29 09:42:04	ga_ls7e_ard_3-0-0_095086_2001-04-29_final
2002-07-21 09:38:17	ga_ls7e_ard_3-0-0_095081_2002-07-21_final
2003-04-03 09:36:20	ga_ls7e_ard_3-0-0_095075_2003-04-03_final
2003-08-09 09:36:23	ga_ls7e_ard_3-0-0_095076_2003-08-09_final
2004-02-17 09:39:54	ga_ls7e_ard_3-0-0_095083_2004-02-17_final
2004-04-05 09:36:27	ga_ls7e_ard_3-0-0_095074_2004-04-05_final
2004-05-07 09:39:11	ga_ls7e_ard_3-0-0_095081_2004-05-07_final
2005-06-11 09:37:05	ga_ls7e_ard_3-0-0_095075_2005-06-11_final
2005-06-11 09:37:53	ga_ls7e_ard_3-0-0_095077_2005-06-11_final
2005-07-29 09:40:12	ga_ls7e_ard_3-0-0_095083_2005-07-29_final
2006-02-06 09:40:25	ga_ls7e_ard_3-0-0_095082_2006-02-06_final
2006-03-10 09:38:54	ga_ls7e_ard_3-0-0_095078_2006-03-10_final
2006-05-29 09:40:03	ga_ls7e_ard_3-0-0_095081_2006-05-29_final
2007-02-25 09:37:40	ga_ls7e_ard_3-0-0_095074_2007-02-25_final
2007-02-25 09:38:04	ga_ls7e_ard_3-0-0_095075_2007-02-25_final
2007-10-07 09:37:16	ga_ls7e_ard_3-0-0_095075_2007-10-07_final
2007-10-23 09:38:41	ga_ls7e_ard_3-0-0_095078_2007-10-23_final
2008-04-16 09:40:31	ga_ls7e_ard_3-0-0_095082_2008-04-16_final
2008-10-25 09:36:02	ga_ls7e_ard_3-0-0_095074_2008-10-25_final
2009-10-28 09:37:57	ga_ls7e_ard_3-0-0_095075_2009-10-28_final
2010-07-11 09:42:12	ga_ls7e_ard_3-0-0_095081_2010-07-11_final
2010-12-02 09:43:42	ga_ls7e_ard_3-0-0_095083_2010-12-02_final
2011-02-20 09:37:53	ga_ls7e_ard_3-0-0_095067_2011-02-20_final
2011-07-14 09:45:07	ga_ls7e_ard_3-0-0_095085_2011-07-14_final
2011-10-02 09:43:15	ga_ls7e_ard_3-0-0_095081_2011-10-02_final
2012-01-22 09:44:23	ga_ls7e_ard_3-0-0_095082_2012-01-22_final
2012-06-14 09:42:24	ga_ls7e_ard_3-0-0_095076_2012-06-14_final
2013-05-16 09:47:04	ga_ls7e_ard_3-0-0_095084_2013-05-16_final
2013-09-21 09:42:06	ga_ls7e_ard_3-0-0_095072_2013-09-21_final
2013-10-03 11:47:51	ga_ls7e_ard_3-0-0_115077_2013-10-03_final
2014-09-04 11:50:27	ga_ls7e_ard_3-0-0_115079_2014-09-04_final
2014-11-23 11:50:17	ga_ls7e_ard_3-1-0_115077_2014-11-23_final
2015-04-20 09:47:37	ga_ls7e_ard_3-0-0_095077_2015-04-20_final
2015-04-20 09:49:37	ga_ls7e_ard_3-0-0_095082_2015-04-20_final
2016-05-08 09:46:48	ga_ls7e_ard_3-0-0_095067_2016-05-08_final
2016-08-28 09:50:16	ga_ls7e_ard_3-0-0_095075_2016-08-28_final
2017-03-08 09:52:55	ga_ls7e_ard_3-0-0_095083_2017-03-08_final
2017-05-11 09:53:40	ga_ls7e_ard_3-0-0_095084_2017-05-11_final
2018-07-01 09:50:59	ga_ls7e_ard_3-0-0_095085_2018-07-01_final
2018-09-19 09:47:26	ga_ls7e_ard_3-0-0_095080_2018-09-19_final
2019-10-24 09:36:37	ga_ls7e_ard_3-1-0_095087_2019-10-24_final
2020-04-17 09:26:24	ga_ls7e_ard_3-1-0_095084_2020-04-16_final
2021-02-15 09:06:50	ga_ls7e_ard_3-2-0_095085_2021-02-14_final
2021-02-22 10:50:10	ga_ls7e_ard_3-2-0_112082_2021-02-22_final
2021-03-04 09:45:12	ga_ls7e_ard_3-2-0_102076_2021-03-04_final
2021-03-06 09:31:53	ga_ls7e_ard_3-2-0_100074_2021-03-06_final
2021-03-10 09:06:27	ga_ls7e_ard_3-2-0_096073_2021-03-09_final
2021-03-11 09:50:25	ga_ls7e_ard_3-2-0_103075_2021-03-11_final
2021-03-16 08:32:29	ga_ls7e_ard_3-2-0_090082_2021-03-15_final
2021-03-16 10:10:34	ga_ls7e_ard_3-2-0_106080_2021-03-16_final
2021-03-25 10:00:52	ga_ls7e_ard_3-2-0_105073_2021-03-25_final
2021-04-08 10:13:16	ga_ls7e_ard_3-2-0_107076_2021-04-08_final
2021-04-22 10:22:04	ga_ls7e_ard_3-2-0_109070_2021-04-22_final
2021-05-15 10:27:55	ga_ls7e_ard_3-2-0_110074_2021-05-15_final
2021-05-28 09:55:30	ga_ls7e_ard_3-2-0_105073_2021-05-28_final
2021-06-18 10:15:06	ga_ls7e_ard_3-2-0_108080_2021-06-18_final
2021-06-18 10:15:30	ga_ls7e_ard_3-2-0_108081_2021-06-18_final
2021-06-26 09:24:36	ga_ls7e_ard_3-2-0_100079_2021-06-25_final
2021-06-29 09:52:27	ga_ls7e_ard_3-2-0_105072_2021-06-29_final
2021-07-05 09:15:40	ga_ls7e_ard_3-2-0_099074_2021-07-04_final
2021-07-15 09:55:06	ga_ls7e_ard_3-2-0_105082_2021-07-15_final
2021-08-01 10:37:40	ga_ls7e_ard_3-2-0_112084_2021-08-01_final
2021-08-09 09:45:56	ga_ls7e_ard_3-2-0_104080_2021-08-09_final
2021-08-14 08:25:56	ga_ls7e_ard_3-2-0_091082_2021-08-13_final
2021-08-15 10:46:24	ga_ls7e_ard_3-2-0_114078_2021-08-15_final
2021-09-06 10:09:00	ga_ls7e_ard_3-2-0_108082_2021-09-06_final
2021-10-02 10:41:46	ga_ls7e_ard_3-2-0_114077_2021-10-02_final
2021-10-06 08:40:37	ga_ls7e_ard_3-2-0_094084_2021-10-05_final
2021-10-18 08:59:29	ga_ls7e_ard_3-2-0_098072_2021-10-17_final
2021-10-18 08:59:53	ga_ls7e_ard_3-2-0_098073_2021-10-17_final
2021-11-08 09:16:29	ga_ls7e_ard_3-2-0_101073_2021-11-07_final
2021-11-14 10:15:42	ga_ls7e_ard_3-2-1_111068_2021-11-14_final
2021-11-14 10:18:53	ga_ls7e_ard_3-2-1_111076_2021-11-14_final
2021-12-05 10:35:50	ga_ls7e_ard_3-2-1_114077_2021-12-05_final
2021-12-09 10:11:55	ga_ls7e_ard_3-2-1_110080_2021-12-09_final
2021-12-16 08:40:09	ga_ls7e_ard_3-2-1_095084_2021-12-15_final
2021-12-21 10:33:06	ga_ls7e_ard_3-2-1_114074_2021-12-21_final
2022-01-03 10:00:29	ga_ls7e_ard_3-2-1_109073_2022-01-03_final
2022-01-08 08:43:16	ga_ls7e_ard_3-2-1_096082_2022-01-07_final
2022-01-22 10:31:58	ga_ls7e_ard_3-2-1_114079_2022-01-22_final
2022-01-23 09:32:40	ga_ls7e_ard_3-2-1_105070_2022-01-23_final
2022-01-24 10:17:49	ga_ls7e_ard_3-2-1_112075_2022-01-24_final
2022-01-25 09:23:18	ga_ls7e_ard_3-2-1_103078_2022-01-24_final
2022-01-30 09:41:45	ga_ls7e_ard_3-2-1_106079_2022-01-30_final
2022-01-31 10:24:31	ga_ls7e_ard_3-2-1_113078_2022-01-31_final
2022-02-13 09:49:29	ga_ls7e_ard_3-2-1_108071_2022-02-13_final
2022-02-16 08:42:23	ga_ls7e_ard_3-2-1_097074_2022-02-15_final
2022-02-18 08:33:26	ga_ls7e_ard_3-2-1_095083_2022-02-17_final
2022-02-18 10:11:31	ga_ls7e_ard_3-2-1_111081_2022-02-18_final
2022-02-22 09:43:37	ga_ls7e_ard_3-2-1_107074_2022-02-22_final
2022-02-22 09:45:37	ga_ls7e_ard_3-2-1_107079_2022-02-22_final
2022-02-23 10:27:11	ga_ls7e_ard_3-2-1_114075_2022-02-23_final
2022-02-25 10:14:38	ga_ls7e_ard_3-2-1_112075_2022-02-25_final
2022-02-26 09:19:43	ga_ls7e_ard_3-2-1_103077_2022-02-25_final
2022-03-09 09:02:54	ga_ls7e_ard_3-2-1_100084_2022-03-08_final
2022-03-10 08:08:47	ga_ls7e_ard_3-2-1_091088_2022-03-09_final
2022-03-10 09:43:40	ga_ls7e_ard_3-2-1_107078_2022-03-10_final
2022-03-14 09:18:32	ga_ls7e_ard_3-2-1_103078_2022-03-13_final
2022-03-22 08:29:31	ga_ls7e_ard_3-2-1_095081_2022-03-21_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