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

59 results

Time (local)	Label
1999-10-10 09:37:39	ga_ls7e_ard_3-1-0_094083_1999-10-10_final
1999-10-10 09:38:03	ga_ls7e_ard_3-0-0_094084_1999-10-10_final
2000-01-24 10:12:06	ga_ls7e_ard_3-0-0_100077_2000-01-24_final
2000-03-21 10:06:31	ga_ls7e_ard_3-0-0_099079_2000-03-21_final
2001-01-29 09:02:14	ga_ls7e_ard_3-0-0_089078_2001-01-28_final
2001-03-18 10:41:14	ga_ls7e_ard_3-0-0_105079_2001-03-18_final
2004-08-08 10:44:23	ga_ls7e_ard_3-1-0_106075_2004-08-08_final
2004-09-03 11:18:12	ga_ls7e_ard_3-0-0_112067_2004-09-03_final
2004-09-24 09:59:20	ga_ls7e_ard_3-0-0_099071_2004-09-24_final
2004-10-18 10:50:25	ga_ls7e_ard_3-0-0_107075_2004-10-18_final
2005-04-04 10:00:22	ga_ls7e_ard_3-0-0_099071_2005-04-04_final
2005-04-13 09:56:31	ga_ls7e_ard_3-0-0_098077_2005-04-13_final
2005-11-04 09:21:26	ga_ls7e_ard_3-0-0_093067_2005-11-03_final
2006-02-10 09:13:19	ga_ls7e_ard_3-0-0_091076_2006-02-09_final
2006-03-31 09:53:49	ga_ls7e_ard_3-0-0_098069_2006-03-31_final
2006-06-26 10:03:03	ga_ls7e_ard_3-0-0_099077_2006-06-26_final
2007-04-23 11:13:11	ga_ls7e_ard_3-0-0_110081_2007-04-23_final
2007-12-07 09:09:22	ga_ls7e_ard_3-0-0_090081_2007-12-06_final
2008-11-26 11:18:58	ga_ls7e_ard_3-0-0_111083_2008-11-26_final
2009-07-24 11:17:34	ga_ls7e_ard_3-0-0_111077_2009-07-24_final
2009-11-17 10:55:35	ga_ls7e_ard_3-0-0_107083_2009-11-17_final
2009-12-11 10:01:38	ga_ls7e_ard_3-0-0_099071_2009-12-11_final
2010-04-06 09:42:36	ga_ls7e_ard_3-0-0_095082_2010-04-06_final
2010-04-18 10:05:44	ga_ls7e_ard_3-0-0_099078_2010-04-18_final
2010-08-01 10:01:57	ga_ls7e_ard_3-0-0_098084_2010-08-01_final
2010-10-12 10:45:56	ga_ls7e_ard_3-0-0_106070_2010-10-12_final
2011-02-06 09:30:39	ga_ls7e_ard_3-0-0_093080_2011-02-06_final
2011-04-18 09:31:49	ga_ls7e_ard_3-1-0_094067_2011-04-18_final
2011-04-30 10:02:57	ga_ls7e_ard_3-0-0_098083_2011-04-30_final
2011-08-21 09:06:43	ga_ls7e_ard_3-0-0_089082_2011-08-20_final
2011-09-16 09:39:41	ga_ls7e_ard_3-0-0_095072_2011-09-16_final
2012-07-28 10:08:02	ga_ls7e_ard_3-0-0_099077_2012-07-28_final
2012-09-16 09:53:00	ga_ls7e_ard_3-0-0_097069_2012-09-16_final
2013-04-24 10:21:23	ga_ls7e_ard_3-0-0_101077_2013-04-24_final
2013-08-15 09:29:31	ga_ls7e_ard_3-0-0_092088_2013-08-14_final
2014-05-10 09:47:51	ga_ls7e_ard_3-0-0_096067_2014-05-10_final
2014-08-19 10:11:09	ga_ls7e_ard_3-0-0_099078_2014-08-19_final
2015-02-12 09:16:09	ga_ls7e_ard_3-0-0_090077_2015-02-11_final
2015-04-05 10:32:23	ga_ls7e_ard_3-0-0_102081_2015-04-05_final
2015-05-28 10:49:16	ga_ls7e_ard_3-0-0_105076_2015-05-28_final
2016-02-11 09:42:29	ga_ls7e_ard_3-0-0_094073_2016-02-11_final
2016-09-02 10:09:38	ga_ls7e_ard_3-0-0_098077_2016-09-02_final
2017-10-11 11:20:56	ga_ls7e_ard_3-0-0_110070_2017-10-11_final
2017-10-29 09:36:29	ga_ls7e_ard_3-0-0_092087_2017-10-29_final
2018-01-03 09:19:38	ga_ls7e_ard_3-0-0_090077_2018-01-02_final
2018-03-11 11:26:56	ga_ls7e_ard_3-0-0_111073_2018-03-11_final
2018-05-02 09:28:07	ga_ls7e_ard_3-0-0_091087_2018-05-01_final
2019-09-08 09:26:13	ga_ls7e_ard_3-1-0_093087_2019-09-07_final
2019-10-07 10:30:34	ga_ls7e_ard_3-1-0_104081_2019-10-07_final
2020-02-18 09:42:37	ga_ls7e_ard_3-1-0_098070_2020-02-18_final
2020-03-04 10:42:38	ga_ls7e_ard_3-1-0_107083_2020-03-04_final
2020-07-18 09:42:49	ga_ls7e_ard_3-1-0_099077_2020-07-18_final
2020-07-30 10:06:24	ga_ls7e_ard_3-1-0_103076_2020-07-30_final
2020-10-21 10:34:44	ga_ls7e_ard_3-1-0_108083_2020-10-21_final
2021-01-27 08:37:44	ga_ls7e_ard_3-2-0_090086_2021-01-26_final
2021-06-18 10:16:42	ga_ls7e_ard_3-2-0_108084_2021-06-18_final
2021-12-31 09:33:29	ga_ls7e_ard_3-2-1_104082_2021-12-31_final
2022-01-26 08:28:47	ga_ls7e_ard_3-2-1_094081_2022-01-25_final
2022-04-03 08:51:53	ga_ls7e_ard_3-2-1_099078_2022-04-02_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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