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
2001-01-07 09:40:50	ga_ls7e_ard_3-0-0_095082_2001-01-07_final
2001-01-23 09:40:55	ga_ls7e_ard_3-0-0_095082_2001-01-23_final
2001-04-13 09:36:55	ga_ls7e_ard_3-1-0_095073_2001-04-13_final
2001-08-31 11:39:54	ga_ls7e_ard_3-0-0_115075_2001-08-31_final
2001-10-02 11:39:30	ga_ls7e_ard_3-0-0_115075_2001-10-02_final
2002-01-06 11:39:54	ga_ls7e_ard_3-0-0_115075_2002-01-06_final
2003-01-13 09:39:36	ga_ls7e_ard_3-0-0_095084_2003-01-13_final
2003-08-25 09:39:11	ga_ls7e_ard_3-0-0_095083_2003-08-25_final
2003-09-26 09:40:35	ga_ls7e_ard_3-0-0_095087_2003-09-26_final
2003-12-15 09:41:10	ga_ls7e_ard_3-0-0_095087_2003-12-15_final
2004-10-19 11:35:42	ga_ls7e_ard_3-0-0_114080_2004-10-19_final
2005-01-14 11:41:24	ga_ls7e_ard_3-1-0_115077_2005-01-14_final
2005-02-08 11:35:22	ga_ls7e_ard_3-0-0_114077_2005-02-08_final
2005-05-26 09:37:11	ga_ls7e_ard_3-0-0_095075_2005-05-26_final
2005-05-26 09:40:47	ga_ls7e_ard_3-0-0_095084_2005-05-26_final
2005-10-17 09:40:20	ga_ls7e_ard_3-0-0_095084_2005-10-17_final
2005-12-20 09:40:25	ga_ls7e_ard_3-0-0_095083_2005-12-20_final
2006-02-27 11:36:43	ga_ls7e_ard_3-0-0_114079_2006-02-27_final
2006-08-01 09:39:17	ga_ls7e_ard_3-0-0_095080_2006-08-01_final
2006-08-29 11:41:38	ga_ls7e_ard_3-1-0_115077_2006-08-29_final
2006-09-18 09:39:31	ga_ls7e_ard_3-0-0_095081_2006-09-18_final
2007-07-03 09:37:50	ga_ls7e_ard_3-0-0_095075_2007-07-03_final
2007-11-08 09:40:51	ga_ls7e_ard_3-0-0_095083_2007-11-08_final
2008-08-11 11:36:12	ga_ls7e_ard_3-0-0_114080_2008-08-11_final
2009-07-08 09:41:33	ga_ls7e_ard_3-0-0_095084_2009-07-08_final
2009-11-09 11:41:44	ga_ls7e_ard_3-0-0_115075_2009-11-09_final
2009-12-11 11:42:55	ga_ls7e_ard_3-0-0_115077_2009-12-11_final
2010-01-16 09:43:07	ga_ls7e_ard_3-0-0_095085_2010-01-16_final
2010-02-17 09:43:31	ga_ls7e_ard_3-0-0_095085_2010-02-17_final
2010-02-22 11:37:24	ga_ls7e_ard_3-0-0_114076_2010-02-22_final
2010-06-09 09:42:32	ga_ls7e_ard_3-0-0_095082_2010-06-09_final
2010-07-11 09:39:49	ga_ls7e_ard_3-0-0_095075_2010-07-11_final
2011-07-19 11:39:44	ga_ls7e_ard_3-0-0_114078_2011-07-19_final
2012-07-05 11:41:39	ga_ls7e_ard_3-0-0_114080_2012-07-05_final
2012-09-02 09:45:43	ga_ls7e_ard_3-0-0_095082_2012-09-02_final
2013-02-14 11:42:25	ga_ls7e_ard_3-0-0_114078_2013-02-14_final
2013-03-29 09:47:14	ga_ls7e_ard_3-0-0_095084_2013-03-29_final
2013-06-06 11:40:43	ga_ls7e_ard_3-0-0_114075_2013-06-06_final
2013-11-08 09:43:21	ga_ls7e_ard_3-0-0_095074_2013-11-08_final
2014-01-16 11:42:49	ga_ls7e_ard_3-0-0_114078_2014-01-16_final
2014-02-01 11:42:18	ga_ls7e_ard_3-0-0_114076_2014-02-01_final
2014-07-22 09:45:10	ga_ls7e_ard_3-0-0_095075_2014-07-22_final
2016-04-27 11:47:46	ga_ls7e_ard_3-0-0_114076_2016-04-27_final
2016-08-28 09:49:28	ga_ls7e_ard_3-1-0_095073_2016-08-28_final
2016-08-28 09:53:52	ga_ls7e_ard_3-0-0_095084_2016-08-28_final
2016-11-12 11:53:46	ga_ls7e_ard_3-0-0_115075_2016-11-12_final
2016-12-18 09:52:25	ga_ls7e_ard_3-0-0_095081_2016-12-18_final
2017-12-21 09:53:06	ga_ls7e_ard_3-0-0_095083_2017-12-21_final
2018-03-11 09:52:27	ga_ls7e_ard_3-0-0_095084_2018-03-11_final
2018-03-16 11:47:25	ga_ls7e_ard_3-0-0_114078_2018-03-16_final
2019-03-10 11:44:43	ga_ls7e_ard_3-1-0_115076_2019-03-10_final
2019-05-01 09:43:41	ga_ls7e_ard_3-0-0_095087_2019-05-01_final
2019-05-22 11:36:41	ga_ls7e_ard_3-0-0_114078_2019-05-22_final
2019-06-18 09:40:42	ga_ls7e_ard_3-0-0_095084_2019-06-18_final
2019-09-22 09:35:10	ga_ls7e_ard_3-1-0_095080_2019-09-22_final
2019-11-14 11:29:30	ga_ls7e_ard_3-1-0_114078_2019-11-14_final
2020-02-13 09:25:56	ga_ls7e_ard_3-1-0_095074_2020-02-12_final
2020-06-09 11:16:39	ga_ls7e_ard_3-1-0_114074_2020-06-09_final
2020-06-09 11:19:03	ga_ls7e_ard_3-1-0_114080_2020-06-09_final
2020-07-11 11:16:45	ga_ls7e_ard_3-1-0_114079_2020-07-11_final
2020-08-23 09:11:50	ga_ls7e_ard_3-1-0_095067_2020-08-22_final
2020-12-13 09:11:04	ga_ls7e_ard_3-1-0_095084_2020-12-12_final
2021-02-27 09:29:26	ga_ls7e_ard_3-2-0_099082_2021-02-26_final
2021-02-28 08:34:32	ga_ls7e_ard_3-2-0_090084_2021-02-27_final
2021-03-01 09:16:31	ga_ls7e_ard_3-2-0_097081_2021-02-28_final
2021-03-17 09:16:52	ga_ls7e_ard_3-2-0_097085_2021-03-16_final
2021-03-23 10:14:11	ga_ls7e_ard_3-2-0_107075_2021-03-23_final
2021-03-28 10:35:31	ga_ls7e_ard_3-2-0_110083_2021-03-28_final
2021-03-30 08:43:19	ga_ls7e_ard_3-2-0_092081_2021-03-29_final
2021-04-15 10:20:04	ga_ls7e_ard_3-2-0_108079_2021-04-15_final
2021-04-18 09:09:50	ga_ls7e_ard_3-2-0_097074_2021-04-17_final
2021-05-07 09:39:32	ga_ls7e_ard_3-2-0_102075_2021-05-07_final
2021-05-08 10:24:43	ga_ls7e_ard_3-2-0_109080_2021-05-08_final
2021-06-01 09:30:26	ga_ls7e_ard_3-2-0_101073_2021-06-01_final
2021-06-01 09:31:38	ga_ls7e_ard_3-2-0_101076_2021-06-01_final
2021-06-28 09:12:05	ga_ls7e_ard_3-2-0_098079_2021-06-27_final
2021-07-07 09:01:57	ga_ls7e_ard_3-2-0_097071_2021-07-06_final
2021-07-26 09:30:25	ga_ls7e_ard_3-2-0_102069_2021-07-26_final
2021-08-19 10:22:31	ga_ls7e_ard_3-2-0_110081_2021-08-19_final
2021-08-24 10:41:50	ga_ls7e_ard_3-2-0_113084_2021-08-24_final
2021-08-31 09:06:32	ga_ls7e_ard_3-2-0_098079_2021-08-30_final
2021-09-01 09:47:19	ga_ls7e_ard_3-2-0_105073_2021-09-01_final
2021-09-16 09:02:20	ga_ls7e_ard_3-2-0_098072_2021-09-15_final
2021-10-02 09:00:54	ga_ls7e_ard_3-2-0_098072_2021-10-01_final
2021-10-16 09:13:37	ga_ls7e_ard_3-2-0_100076_2021-10-15_final
2021-11-01 09:13:45	ga_ls7e_ard_3-2-0_100080_2021-10-31_final
2021-11-02 08:21:14	ga_ls7e_ard_3-2-0_091088_2021-11-01_final
2021-11-03 08:59:13	ga_ls7e_ard_3-2-0_098075_2021-11-02_final
2021-11-16 10:03:56	ga_ls7e_ard_3-2-1_109070_2021-11-16_final
2021-11-28 10:31:54	ga_ls7e_ard_3-2-1_113081_2021-11-28_final
2021-12-08 09:26:22	ga_ls7e_ard_3-2-1_103074_2021-12-07_final
2021-12-11 08:19:42	ga_ls7e_ard_3-2-1_092078_2021-12-10_final
2021-12-16 08:37:22	ga_ls7e_ard_3-2-1_095077_2021-12-15_final
2021-12-21 08:55:01	ga_ls7e_ard_3-2-1_098076_2021-12-20_final
2022-01-02 09:17:44	ga_ls7e_ard_3-2-1_102074_2022-01-01_final
2022-01-19 10:02:58	ga_ls7e_ard_3-2-1_109083_2022-01-19_final
2022-01-28 09:56:18	ga_ls7e_ard_3-2-1_108084_2022-01-28_final
2022-02-13 09:54:40	ga_ls7e_ard_3-2-1_108084_2022-02-13_final
2022-03-01 08:13:03	ga_ls7e_ard_3-2-1_092081_2022-02-28_final
2022-03-11 08:50:44	ga_ls7e_ard_3-2-1_098085_2022-03-10_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