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

44 results

Time (local)	Label
2001-01-26 10:12:13	ga_ls7e_ard_3-0-0_100083_2001-01-26_final
2001-06-01 10:17:48	ga_ls7e_ard_3-0-0_102068_2001-06-01_final
2002-04-16 11:14:03	ga_ls7e_ard_3-0-0_111072_2002-04-16_final
2002-08-28 10:36:58	ga_ls7e_ard_3-0-0_105074_2002-08-28_final
2004-03-25 11:33:54	ga_ls7e_ard_3-0-0_114074_2004-03-25_final
2004-07-20 10:14:25	ga_ls7e_ard_3-0-0_101077_2004-07-20_final
2004-09-10 11:27:07	ga_ls7e_ard_3-0-0_113074_2004-09-10_final
2004-12-14 09:06:41	ga_ls7e_ard_3-0-0_090077_2004-12-13_final
2005-09-17 09:28:18	ga_ls7e_ard_3-0-0_093085_2005-09-16_final
2005-10-15 11:29:34	ga_ls7e_ard_3-0-0_113079_2005-10-15_final
2006-04-30 10:07:45	ga_ls7e_ard_3-0-0_100073_2006-04-30_final
2006-12-03 10:00:25	ga_ls7e_ard_3-0-0_099070_2006-12-03_final
2008-02-05 11:12:37	ga_ls7e_ard_3-0-0_110080_2008-02-05_final
2008-03-27 10:00:28	ga_ls7e_ard_3-0-0_099070_2008-03-27_final
2008-05-15 10:42:47	ga_ls7e_ard_3-0-0_106068_2008-05-15_final
2008-08-02 10:04:45	ga_ls7e_ard_3-0-0_099083_2008-08-02_final
2008-09-30 09:44:08	ga_ls7e_ard_3-0-0_096079_2008-09-30_final
2009-02-20 09:02:04	ga_ls7e_ard_3-0-0_089079_2009-02-19_final
2009-12-21 09:04:25	ga_ls7e_ard_3-0-0_089082_2009-12-20_final
2010-05-05 10:45:22	ga_ls7e_ard_3-0-0_106069_2010-05-05_final
2010-10-22 11:28:42	ga_ls7e_ard_3-0-0_112084_2010-10-22_final
2011-08-25 10:21:16	ga_ls7e_ard_3-0-0_101083_2011-08-25_final
2013-04-09 09:25:30	ga_ls7e_ard_3-0-0_092076_2013-04-08_final
2013-04-24 10:23:23	ga_ls7e_ard_3-0-0_101082_2013-04-24_final
2013-06-14 10:53:15	ga_ls7e_ard_3-0-0_106080_2013-06-14_final
2013-06-21 09:20:54	ga_ls7e_ard_3-0-0_091081_2013-06-20_final
2013-08-24 09:21:27	ga_ls7e_ard_3-0-0_091083_2013-08-23_final
2013-12-14 11:01:18	ga_ls7e_ard_3-0-0_107083_2013-12-14_final
2015-06-08 10:30:26	ga_ls7e_ard_3-0-0_102075_2015-06-08_final
2015-06-25 11:14:07	ga_ls7e_ard_3-0-0_109076_2015-06-25_final
2016-06-24 10:45:23	ga_ls7e_ard_3-0-0_104074_2016-06-24_final
2016-10-28 09:23:47	ga_ls7e_ard_3-0-0_090086_2016-10-27_final
2017-02-16 10:14:41	ga_ls7e_ard_3-0-0_099076_2017-02-16_final
2018-01-03 10:56:08	ga_ls7e_ard_3-0-0_106071_2018-01-03_final
2018-07-13 11:51:34	ga_ls7e_ard_3-0-0_115078_2018-07-13_final
2019-02-21 11:00:24	ga_ls7e_ard_3-1-0_108072_2019-02-21_final
2019-06-02 09:36:53	ga_ls7e_ard_3-1-0_095073_2019-06-02_final
2019-08-05 11:17:19	ga_ls7e_ard_3-0-0_111083_2019-08-05_final
2020-07-22 10:53:08	ga_ls7e_ard_3-1-0_111068_2020-07-22_final
2020-10-23 10:22:14	ga_ls7e_ard_3-1-0_106083_2020-10-23_final
2021-02-01 10:31:12	ga_ls7e_ard_3-2-0_109077_2021-02-01_final
2021-07-12 09:20:04	ga_ls7e_ard_3-2-0_100071_2021-07-11_final
2021-11-04 08:04:42	ga_ls7e_ard_3-2-0_089078_2021-11-03_final
2022-03-19 09:33:23	ga_ls7e_ard_3-2-1_106070_2022-03-19_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