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

55 results

Time (local)	Label
1999-11-03 10:26:08	ga_ls7e_ard_3-0-0_102081_1999-11-03_final
1999-11-07 11:40:19	ga_ls7e_ard_3-0-0_114081_1999-11-07_final
2000-01-02 09:13:54	ga_ls7e_ard_3-0-0_090086_2000-01-01_final
2000-03-02 09:33:15	ga_ls7e_ard_3-0-0_094073_2000-03-02_final
2000-05-09 09:11:14	ga_ls7e_ard_3-0-0_090081_2000-05-08_final
2000-10-04 10:23:41	ga_ls7e_ard_3-0-0_102081_2000-10-04_final
2000-10-28 11:08:38	ga_ls7e_ard_3-0-0_110070_2000-10-28_final
2001-01-08 10:23:42	ga_ls7e_ard_3-0-0_102081_2001-01-08_final
2003-07-28 10:52:38	ga_ls7e_ard_3-0-0_107081_2003-07-28_final
2003-08-13 10:48:10	ga_ls7e_ard_3-0-0_107070_2003-08-13_final
2003-12-14 10:30:24	ga_ls7e_ard_3-0-0_104071_2003-12-14_final
2004-03-01 10:47:07	ga_ls7e_ard_3-0-0_106081_2004-03-01_final
2004-04-12 11:22:39	ga_ls7e_ard_3-1-0_112077_2004-04-12_final
2004-05-16 11:07:30	ga_ls7e_ard_3-0-0_110070_2004-05-16_final
2004-10-21 11:24:34	ga_ls7e_ard_3-0-0_112083_2004-10-21_final
2004-12-10 11:07:29	ga_ls7e_ard_3-0-0_110070_2004-12-10_final
2005-03-05 09:52:03	ga_ls7e_ard_3-0-0_097081_2005-03-05_final
2005-04-13 11:37:00	ga_ls7e_ard_3-0-0_114081_2005-04-13_final
2005-06-20 11:12:08	ga_ls7e_ard_3-0-0_110081_2005-06-20_final
2005-07-24 10:55:46	ga_ls7e_ard_3-0-0_108071_2005-07-24_final
2005-10-30 10:47:18	ga_ls7e_ard_3-0-0_106081_2005-10-30_final
2005-11-22 10:53:42	ga_ls7e_ard_3-0-0_107081_2005-11-22_final
2007-03-10 10:45:18	ga_ls7e_ard_3-0-0_106073_2007-03-10_final
2007-06-05 10:54:25	ga_ls7e_ard_3-0-0_107081_2007-06-05_final
2008-01-25 09:52:42	ga_ls7e_ard_3-0-0_097081_2008-01-25_final
2008-11-17 09:40:58	ga_ls7e_ard_3-0-0_096070_2008-11-17_final
2009-05-19 09:51:36	ga_ls7e_ard_3-0-0_097078_2009-05-19_final
2010-02-01 09:41:44	ga_ls7e_ard_3-0-0_095081_2010-02-01_final
2010-05-14 10:41:56	ga_ls7e_ard_3-0-0_105076_2010-05-14_final
2010-07-31 09:20:17	ga_ls7e_ard_3-0-0_091088_2010-07-30_final
2010-10-30 10:38:08	ga_ls7e_ard_3-0-0_104081_2010-10-30_final
2010-12-18 11:18:44	ga_ls7e_ard_3-0-0_111073_2010-12-18_final
2011-12-01 10:04:27	ga_ls7e_ard_3-0-0_099071_2011-12-01_final
2012-02-22 10:34:34	ga_ls7e_ard_3-0-0_104068_2012-02-22_final
2012-10-10 10:45:27	ga_ls7e_ard_3-0-0_105076_2012-10-10_final
2014-02-02 10:44:41	ga_ls7e_ard_3-0-0_105071_2014-02-02_final
2015-03-24 10:08:46	ga_ls7e_ard_3-0-0_098084_2015-03-24_final
2015-09-15 11:04:53	ga_ls7e_ard_3-0-0_107083_2015-09-15_final
2015-11-02 09:29:20	ga_ls7e_ard_3-0-0_091090_2015-11-01_final
2016-01-23 10:51:08	ga_ls7e_ard_3-0-0_105075_2016-01-23_final
2016-08-05 11:20:56	ga_ls7e_ard_3-0-0_110070_2016-08-05_final
2017-01-25 10:52:14	ga_ls7e_ard_3-0-0_105077_2017-01-25_final
2017-08-08 11:20:56	ga_ls7e_ard_3-0-0_110070_2017-08-08_final
2017-10-13 11:10:34	ga_ls7e_ard_3-1-0_108075_2017-10-13_final
2018-01-13 09:59:22	ga_ls7e_ard_3-0-0_096084_2018-01-13_final
2019-02-19 11:12:01	ga_ls7e_ard_3-1-0_110070_2019-02-19_final
2019-04-28 10:46:59	ga_ls7e_ard_3-1-0_106075_2019-04-28_final
2020-11-15 10:21:40	ga_ls7e_ard_3-1-0_107070_2020-11-15_final
2021-01-16 10:31:10	ga_ls7e_ard_3-1-0_109074_2021-01-16_final
2021-01-22 09:52:51	ga_ls7e_ard_3-2-0_103072_2021-01-22_final
2021-07-21 09:17:54	ga_ls7e_ard_3-2-0_099083_2021-07-20_final
2021-09-29 10:13:56	ga_ls7e_ard_3-2-0_109084_2021-09-29_final
2022-01-13 10:39:25	ga_ls7e_ard_3-2-1_115080_2022-01-13_final
2022-02-14 10:34:38	ga_ls7e_ard_3-2-1_115076_2022-02-14_final
2022-03-23 09:13:05	ga_ls7e_ard_3-2-1_102082_2022-03-22_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

All years