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

46 results

Time (local)	Label
2000-04-03 11:12:23	ga_ls7e_ard_3-0-0_110074_2000-04-03_final
2000-10-30 10:58:18	ga_ls7e_ard_3-0-0_108075_2000-10-30_final
2001-01-25 09:30:57	ga_ls7e_ard_3-0-0_093088_2001-01-25_final
2001-03-09 09:12:37	ga_ls7e_ard_3-0-0_090089_2001-03-08_final
2001-03-12 11:16:24	ga_ls7e_ard_3-0-0_111074_2001-03-12_final
2002-05-21 10:07:36	ga_ls7e_ard_3-0-0_100076_2002-05-21_final
2002-07-31 10:15:42	ga_ls7e_ard_3-0-0_101082_2002-07-31_final
2003-10-26 09:49:32	ga_ls7e_ard_3-0-0_097078_2003-10-26_final
2003-11-06 09:33:02	ga_ls7e_ard_3-1-0_094083_2003-11-06_final
2003-12-08 11:08:37	ga_ls7e_ard_3-0-0_110074_2003-12-08_final
2004-07-16 10:41:10	ga_ls7e_ard_3-0-0_105082_2004-07-16_final
2004-09-23 10:56:09	ga_ls7e_ard_3-0-0_108074_2004-09-23_final
2004-10-15 10:19:28	ga_ls7e_ard_3-0-0_102075_2004-10-15_final
2005-01-28 10:14:06	ga_ls7e_ard_3-1-0_101075_2005-01-28_final
2005-04-20 10:02:38	ga_ls7e_ard_3-0-0_099077_2005-04-20_final
2007-01-04 09:59:45	ga_ls7e_ard_3-0-0_099068_2007-01-04_final
2007-01-13 09:54:46	ga_ls7e_ard_3-0-0_098071_2007-01-13_final
2007-02-05 10:03:29	ga_ls7e_ard_3-0-0_099077_2007-02-05_final
2007-05-02 11:04:10	ga_ls7e_ard_3-0-0_109074_2007-05-02_final
2007-05-15 10:36:23	ga_ls7e_ard_3-0-0_104082_2007-05-15_final
2008-11-26 11:15:22	ga_ls7e_ard_3-0-0_111074_2008-11-26_final
2008-12-28 09:36:00	ga_ls7e_ard_3-0-0_095072_2008-12-28_final
2009-07-24 11:15:58	ga_ls7e_ard_3-0-0_111073_2009-07-24_final
2010-11-03 10:14:14	ga_ls7e_ard_3-0-0_100083_2010-11-03_final
2011-10-22 10:55:30	ga_ls7e_ard_3-0-0_107076_2011-10-22_final
2011-12-10 10:03:54	ga_ls7e_ard_3-0-0_098085_2011-12-10_final
2012-05-24 11:01:45	ga_ls7e_ard_3-0-0_108073_2012-05-24_final
2012-06-26 11:46:05	ga_ls7e_ard_3-0-0_115076_2012-06-26_final
2012-07-18 09:34:03	ga_ls7e_ard_3-0-0_093085_2012-07-18_final
2013-08-16 10:05:13	ga_ls7e_ard_3-0-0_099069_2013-08-16_final
2013-10-23 11:24:56	ga_ls7e_ard_3-0-0_111081_2013-10-23_final
2014-09-20 11:50:07	ga_ls7e_ard_3-0-0_115078_2014-09-20_final
2014-10-14 11:02:55	ga_ls7e_ard_3-0-0_107083_2014-10-14_final
2015-05-18 10:14:34	ga_ls7e_ard_3-0-0_099082_2015-05-18_final
2016-10-29 11:42:43	ga_ls7e_ard_3-0-0_113078_2016-10-29_final
2017-08-27 10:15:44	ga_ls7e_ard_3-0-0_099077_2017-08-27_final
2017-09-17 10:36:14	ga_ls7e_ard_3-0-0_102082_2017-09-17_final
2017-10-29 11:08:59	ga_ls7e_ard_3-1-0_108071_2017-10-29_final
2018-07-16 10:45:08	ga_ls7e_ard_3-0-0_104082_2018-07-16_final
2019-08-18 10:45:52	ga_ls7e_ard_3-0-0_106083_2019-08-18_final
2021-02-06 10:48:10	ga_ls7e_ard_3-2-0_112074_2021-02-06_final
2021-02-24 10:34:27	ga_ls7e_ard_3-2-0_110074_2021-02-24_final
2021-06-20 10:02:35	ga_ls7e_ard_3-2-0_106080_2021-06-20_final
2021-07-14 09:09:31	ga_ls7e_ard_3-2-0_098076_2021-07-13_final
2022-01-04 09:05:58	ga_ls7e_ard_3-2-1_100076_2022-01-03_final
2022-03-28 07:51:52	ga_ls7e_ard_3-2-1_089081_2022-03-27_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