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
1999-07-10 09:10:17	ga_ls7e_ard_3-0-0_090077_1999-07-09_final
1999-07-14 10:26:03	ga_ls7e_ard_3-0-0_102081_1999-07-14_final
2001-08-26 09:46:32	ga_ls7e_ard_3-0-0_096085_2001-08-26_final
2001-09-15 10:54:04	ga_ls7e_ard_3-0-0_108069_2001-09-15_final
2002-01-04 10:14:08	ga_ls7e_ard_3-0-0_101077_2002-01-04_final
2003-01-24 10:54:02	ga_ls7e_ard_3-0-0_108069_2003-01-24_final
2003-02-17 10:05:35	ga_ls7e_ard_3-0-0_100071_2003-02-17_final
2003-10-26 09:45:56	ga_ls7e_ard_3-0-0_097069_2003-10-26_final
2004-01-12 10:01:38	ga_ls7e_ard_3-0-0_099076_2004-01-12_final
2004-12-14 09:10:17	ga_ls7e_ard_3-0-0_090086_2004-12-13_final
2005-02-22 10:06:33	ga_ls7e_ard_3-0-0_100071_2005-02-22_final
2005-04-04 10:03:10	ga_ls7e_ard_3-0-0_099078_2005-04-04_final
2005-05-03 11:09:30	ga_ls7e_ard_3-0-0_110074_2005-05-03_final
2005-05-21 10:57:33	ga_ls7e_ard_3-1-0_108075_2005-05-21_final
2006-01-26 09:58:30	ga_ls7e_ard_3-0-0_098081_2006-01-26_final
2006-08-28 10:55:11	ga_ls7e_ard_3-0-0_108069_2006-08-28_final
2006-11-09 10:54:25	ga_ls7e_ard_3-0-0_107082_2006-11-09_final
2007-03-26 09:11:14	ga_ls7e_ard_3-1-0_090085_2007-03-25_final
2008-02-05 09:31:20	ga_ls7e_ard_3-0-0_094074_2008-02-05_final
2008-02-28 09:37:49	ga_ls7e_ard_3-0-0_095075_2008-02-28_final
2008-07-08 10:06:47	ga_ls7e_ard_3-0-0_100072_2008-07-08_final
2008-09-13 10:38:44	ga_ls7e_ard_3-0-0_105076_2008-09-13_final
2008-12-02 09:03:04	ga_ls7e_ard_3-0-0_089083_2008-12-01_final
2010-04-14 10:26:52	ga_ls7e_ard_3-0-0_103069_2010-04-14_final
2011-01-12 09:37:05	ga_ls7e_ard_3-0-0_094081_2011-01-12_final
2012-04-05 10:19:34	ga_ls7e_ard_3-0-0_101077_2012-04-05_final
2012-04-17 09:08:58	ga_ls7e_ard_3-0-0_089086_2012-04-16_final
2012-05-07 10:22:28	ga_ls7e_ard_3-0-0_101083_2012-05-07_final
2014-07-28 09:08:56	ga_ls7e_ard_3-0-0_089077_2014-07-27_final
2015-02-05 09:12:00	ga_ls7e_ard_3-0-0_089082_2015-02-04_final
2015-04-09 11:45:24	ga_ls7e_ard_3-0-0_114078_2015-04-09_final
2015-10-21 10:40:08	ga_ls7e_ard_3-0-0_103082_2015-10-21_final
2016-08-31 10:21:59	ga_ls7e_ard_3-0-0_100077_2016-08-31_final
2017-06-25 10:58:13	ga_ls7e_ard_3-1-0_106075_2017-06-25_final
2017-12-07 11:17:22	ga_ls7e_ard_3-0-0_109077_2017-12-07_final
2018-07-14 10:54:43	ga_ls7e_ard_3-1-0_106075_2018-07-14_final
2018-09-05 11:11:52	ga_ls7e_ard_3-0-0_109074_2018-09-05_final
2019-01-05 11:47:54	ga_ls7e_ard_3-0-0_115079_2019-01-05_final
2019-03-04 10:43:07	ga_ls7e_ard_3-1-0_105076_2019-03-04_final
2020-06-28 10:06:21	ga_ls7e_ard_3-1-0_103071_2020-06-28_final
2020-08-09 10:45:14	ga_ls7e_ard_3-1-0_109082_2020-08-09_final
2020-08-26 09:47:20	ga_ls7e_ard_3-1-0_100079_2020-08-26_final
2020-09-14 10:15:47	ga_ls7e_ard_3-1-0_105076_2020-09-14_final
2021-06-28 10:49:22	ga_ls7e_ard_3-2-0_114075_2021-06-28_final
2021-07-15 09:51:54	ga_ls7e_ard_3-2-0_105074_2021-07-15_final
2021-07-21 09:17:54	ga_ls7e_ard_3-2-0_099083_2021-07-20_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