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
1999-08-14 09:45:16	ga_ls7e_ard_3-0-0_095087_1999-08-14_final
2000-03-25 09:44:35	ga_ls7e_ard_3-0-0_095086_2000-03-25_final
2000-11-20 09:39:55	ga_ls7e_ard_3-0-0_095080_2000-11-20_final
2001-02-08 09:40:24	ga_ls7e_ard_3-0-0_095081_2001-02-08_final
2001-03-28 09:39:45	ga_ls7e_ard_3-0-0_095080_2001-03-28_final
2001-09-20 09:38:02	ga_ls7e_ard_3-0-0_095080_2001-09-20_final
2002-01-10 09:36:46	ga_ls7e_ard_3-0-0_095076_2002-01-10_final
2002-07-21 09:37:53	ga_ls7e_ard_3-0-0_095080_2002-07-21_final
2002-12-12 09:39:26	ga_ls7e_ard_3-0-0_095084_2002-12-12_final
2004-08-11 09:36:48	ga_ls7e_ard_3-0-0_095076_2004-08-11_final
2006-02-06 09:38:25	ga_ls7e_ard_3-0-0_095077_2006-02-06_final
2006-03-26 09:38:53	ga_ls7e_ard_3-0-0_095078_2006-03-26_final
2007-10-07 09:39:40	ga_ls7e_ard_3-0-0_095081_2007-10-07_final
2008-04-16 09:38:07	ga_ls7e_ard_3-0-0_095076_2008-04-16_final
2008-09-23 09:38:26	ga_ls7e_ard_3-0-0_095080_2008-09-23_final
2008-11-26 09:37:41	ga_ls7e_ard_3-0-0_095077_2008-11-26_final
2009-09-26 09:40:32	ga_ls7e_ard_3-0-0_095082_2009-09-26_final
2010-04-22 09:41:24	ga_ls7e_ard_3-1-0_095079_2010-04-22_final
2010-08-28 09:42:16	ga_ls7e_ard_3-0-0_095081_2010-08-28_final
2011-06-28 09:42:43	ga_ls7e_ard_3-1-0_095079_2011-06-28_final
2011-09-16 09:43:16	ga_ls7e_ard_3-0-0_095081_2011-09-16_final
2012-11-05 09:45:26	ga_ls7e_ard_3-0-0_095080_2012-11-05_final
2013-02-25 09:44:33	ga_ls7e_ard_3-0-0_095077_2013-02-25_final
2013-03-29 09:46:02	ga_ls7e_ard_3-0-0_095081_2013-03-29_final
2013-08-20 09:44:56	ga_ls7e_ard_3-0-0_095080_2013-08-20_final
2014-03-16 09:44:52	ga_ls7e_ard_3-0-0_095076_2014-03-16_final
2014-07-06 09:46:43	ga_ls7e_ard_3-1-0_095079_2014-07-06_final
2014-09-08 09:46:03	ga_ls7e_ard_3-0-0_095077_2014-09-08_final
2015-02-15 09:46:17	ga_ls7e_ard_3-0-0_095075_2015-02-15_final
2015-05-06 09:50:32	ga_ls7e_ard_3-0-0_095084_2015-05-06_final
2015-08-26 09:47:51	ga_ls7e_ard_3-0-0_095076_2015-08-26_final
2015-09-27 09:51:34	ga_ls7e_ard_3-0-0_095085_2015-09-27_final
2015-12-16 09:51:11	ga_ls7e_ard_3-0-0_095081_2015-12-16_final
2016-03-21 09:49:44	ga_ls7e_ard_3-0-0_095075_2016-03-21_final
2016-04-06 09:50:58	ga_ls7e_ard_3-0-0_095078_2016-04-06_final
2016-08-12 09:50:13	ga_ls7e_ard_3-0-0_095075_2016-08-12_final
2017-05-11 09:50:05	ga_ls7e_ard_3-0-0_095075_2017-05-11_final
2017-06-12 09:52:36	ga_ls7e_ard_3-0-0_095081_2017-06-12_final
2017-11-19 09:53:46	ga_ls7e_ard_3-0-0_095084_2017-11-19_final
2018-04-28 09:49:19	ga_ls7e_ard_3-0-0_095078_2018-04-28_final
2018-06-15 09:47:19	ga_ls7e_ard_3-0-0_095075_2018-06-15_final
2019-03-14 09:41:23	ga_ls7e_ard_3-1-0_095077_2019-03-14_final
2019-03-30 09:40:03	ga_ls7e_ard_3-0-0_095075_2019-03-30_final
2020-07-22 09:18:39	ga_ls7e_ard_3-1-0_095079_2020-07-21_final
2020-08-23 09:16:14	ga_ls7e_ard_3-1-0_095078_2020-08-22_final
2020-08-23 09:17:26	ga_ls7e_ard_3-1-0_095081_2020-08-22_final
2021-02-13 09:18:08	ga_ls7e_ard_3-2-0_097082_2021-02-12_final
2021-02-25 09:39:09	ga_ls7e_ard_3-2-0_101075_2021-02-25_final
2021-03-10 10:46:55	ga_ls7e_ard_3-2-0_112077_2021-03-10_final
2021-03-12 10:34:48	ga_ls7e_ard_3-2-0_110078_2021-03-12_final
2021-03-19 10:40:26	ga_ls7e_ard_3-2-0_111078_2021-03-19_final
2021-03-27 09:49:09	ga_ls7e_ard_3-2-0_103075_2021-03-27_final
2021-04-02 09:12:22	ga_ls7e_ard_3-2-0_097077_2021-04-01_final
2021-04-03 09:57:09	ga_ls7e_ard_3-2-0_104081_2021-04-03_final
2021-04-04 09:01:26	ga_ls7e_ard_3-2-0_095081_2021-04-03_final
2021-04-06 10:26:36	ga_ls7e_ard_3-2-0_109078_2021-04-06_final
2021-04-11 09:08:38	ga_ls7e_ard_3-2-0_096085_2021-04-10_final
2021-04-14 09:35:18	ga_ls7e_ard_3-2-0_101075_2021-04-14_final
2021-04-18 09:12:14	ga_ls7e_ard_3-2-0_097080_2021-04-17_final
2021-04-27 10:42:34	ga_ls7e_ard_3-2-0_112076_2021-04-27_final
2021-04-29 08:53:33	ga_ls7e_ard_3-2-0_094082_2021-04-28_final
2021-05-02 11:01:53	ga_ls7e_ard_3-2-0_115079_2021-05-02_final
2021-05-15 10:30:18	ga_ls7e_ard_3-2-0_110080_2021-05-15_final
2021-05-16 09:32:36	ga_ls7e_ard_3-2-0_101075_2021-05-16_final
2021-05-20 09:08:21	ga_ls7e_ard_3-2-0_097077_2021-05-19_final
2021-05-22 08:56:13	ga_ls7e_ard_3-2-0_095078_2021-05-21_final
2021-05-26 08:31:33	ga_ls7e_ard_3-2-0_091079_2021-05-25_final
2021-06-06 09:46:58	ga_ls7e_ard_3-2-0_104069_2021-06-06_final
2021-06-13 09:54:11	ga_ls7e_ard_3-2-0_105073_2021-06-13_final
2021-06-15 09:43:39	ga_ls7e_ard_3-2-0_103078_2021-06-15_final
2021-06-28 09:13:16	ga_ls7e_ard_3-2-0_098082_2021-06-27_final
2021-06-30 09:01:09	ga_ls7e_ard_3-2-0_096083_2021-06-29_final
2021-07-20 10:10:48	ga_ls7e_ard_3-2-0_108076_2021-07-20_final
2021-07-22 08:21:24	ga_ls7e_ard_3-2-0_090081_2021-07-21_final
2021-08-02 09:36:47	ga_ls7e_ard_3-2-0_103071_2021-08-02_final
2021-08-09 09:44:44	ga_ls7e_ard_3-2-0_104077_2021-08-09_final
2021-08-16 09:47:53	ga_ls7e_ard_3-2-0_105071_2021-08-16_final
2021-08-26 10:27:18	ga_ls7e_ard_3-2-0_111079_2021-08-26_final
2021-09-06 10:07:01	ga_ls7e_ard_3-2-0_108077_2021-09-06_final
2021-09-07 09:12:54	ga_ls7e_ard_3-2-0_099081_2021-09-06_final
2021-09-09 09:00:46	ga_ls7e_ard_3-2-0_097082_2021-09-08_final
2021-09-09 10:36:51	ga_ls7e_ard_3-2-0_113075_2021-09-09_final
2021-09-30 09:13:50	ga_ls7e_ard_3-2-0_100073_2021-09-29_final
2021-10-02 09:04:53	ga_ls7e_ard_3-2-0_098082_2021-10-01_final
2021-10-03 09:47:40	ga_ls7e_ard_3-2-0_105081_2021-10-03_final
2021-10-11 08:58:19	ga_ls7e_ard_3-2-0_097083_2021-10-10_final
2021-10-12 09:35:54	ga_ls7e_ard_3-2-0_104069_2021-10-12_final
2021-10-15 10:11:44	ga_ls7e_ard_3-2-0_109082_2021-10-15_final
2021-10-16 09:13:13	ga_ls7e_ard_3-2-0_100075_2021-10-15_final
2021-10-21 09:30:55	ga_ls7e_ard_3-2-0_103074_2021-10-21_final
2021-10-26 09:48:12	ga_ls7e_ard_3-2-0_106072_2021-10-26_final
2021-10-31 08:30:11	ga_ls7e_ard_3-2-0_093079_2021-10-30_final
2021-12-16 10:17:02	ga_ls7e_ard_3-2-1_111079_2021-12-16_final
2021-12-20 09:53:08	ga_ls7e_ard_3-2-1_107082_2021-12-20_final
2022-01-01 08:36:34	ga_ls7e_ard_3-2-1_095079_2021-12-31_final
2022-01-01 10:14:39	ga_ls7e_ard_3-2-1_111077_2022-01-01_final
2022-01-26 10:06:28	ga_ls7e_ard_3-2-1_110078_2022-01-26_final
2022-01-27 09:11:33	ga_ls7e_ard_3-2-1_101080_2022-01-26_final
2022-02-24 09:32:40	ga_ls7e_ard_3-2-1_105078_2022-02-24_final
2022-04-01 09:04:51	ga_ls7e_ard_3-2-1_101079_2022-03-31_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