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

42 results

Time (local)	Label
2000-03-21 10:05:43	ga_ls7e_ard_3-0-0_099077_2000-03-21_final
2001-04-26 10:47:39	ga_ls7e_ard_3-0-0_106080_2001-04-26_final
2001-12-28 10:07:57	ga_ls7e_ard_3-0-0_100077_2001-12-28_final
2002-05-20 11:02:26	ga_ls7e_ard_3-0-0_109074_2002-05-20_final
2004-01-30 09:47:26	ga_ls7e_ard_3-0-0_097071_2004-01-30_final
2004-04-01 09:59:12	ga_ls7e_ard_3-0-0_099069_2004-04-01_final
2004-05-18 10:56:44	ga_ls7e_ard_3-0-0_108074_2004-05-18_final
2006-01-06 10:20:16	ga_ls7e_ard_3-0-0_102074_2006-01-06_final
2006-04-23 10:03:08	ga_ls7e_ard_3-0-0_099077_2006-04-23_final
2006-05-19 09:01:47	ga_ls7e_ard_3-0-0_089078_2006-05-18_final
2006-07-24 10:23:57	ga_ls7e_ard_3-0-0_103068_2006-07-24_final
2006-11-19 11:28:25	ga_ls7e_ard_3-0-0_113074_2006-11-19_final
2007-06-17 11:13:33	ga_ls7e_ard_3-0-0_111067_2007-06-17_final
2007-11-18 10:18:01	ga_ls7e_ard_3-0-0_101083_2007-11-18_final
2007-11-24 11:16:16	ga_ls7e_ard_3-0-0_111074_2007-11-24_final
2009-03-21 10:07:06	ga_ls7e_ard_3-0-0_100071_2009-03-21_final
2009-03-21 10:09:30	ga_ls7e_ard_3-0-0_100077_2009-03-21_final
2009-06-15 11:08:44	ga_ls7e_ard_3-0-0_110070_2009-06-15_final
2010-10-06 11:24:32	ga_ls7e_ard_3-0-0_112074_2010-10-06_final
2010-11-11 09:26:55	ga_ls7e_ard_3-0-0_092088_2010-11-10_final
2011-01-13 10:18:45	ga_ls7e_ard_3-0-0_101077_2011-01-13_final
2011-07-15 10:23:11	ga_ls7e_ard_3-0-0_102072_2011-07-15_final
2011-08-22 11:28:03	ga_ls7e_ard_3-0-0_112080_2011-08-22_final
2011-12-17 10:02:57	ga_ls7e_ard_3-0-0_099067_2011-12-17_final
2012-03-07 10:46:53	ga_ls7e_ard_3-0-0_106068_2012-03-07_final
2013-10-03 10:04:58	ga_ls7e_ard_3-0-0_099067_2013-10-03_final
2013-10-19 10:09:33	ga_ls7e_ard_3-0-0_099078_2013-10-19_final
2013-11-06 09:53:42	ga_ls7e_ard_3-0-0_097069_2013-11-06_final
2014-04-13 10:10:10	ga_ls7e_ard_3-0-0_099077_2014-04-13_final
2015-03-06 10:18:35	ga_ls7e_ard_3-0-0_100078_2015-03-06_final
2016-06-25 11:28:15	ga_ls7e_ard_3-0-0_111073_2016-06-25_final
2017-02-26 10:48:40	ga_ls7e_ard_3-0-0_105068_2017-02-26_final
2017-03-04 10:12:50	ga_ls7e_ard_3-0-0_099071_2017-03-04_final
2018-04-10 09:58:24	ga_ls7e_ard_3-0-0_097069_2018-04-10_final
2018-08-06 09:23:37	ga_ls7e_ard_3-0-0_091080_2018-08-05_final
2020-03-16 09:23:49	ga_ls7e_ard_3-1-0_095073_2020-03-15_final
2020-07-17 09:03:37	ga_ls7e_ard_3-1-0_092087_2020-07-16_final
2020-08-09 09:08:21	ga_ls7e_ard_3-1-0_093087_2020-08-08_final
2020-09-23 10:11:24	ga_ls7e_ard_3-1-0_104082_2020-09-23_final
2021-01-02 08:42:06	ga_ls7e_ard_3-1-0_091077_2021-01-01_final
2021-02-21 08:26:54	ga_ls7e_ard_3-2-0_089079_2021-02-20_final
2022-01-19 09:57:23	ga_ls7e_ard_3-2-1_109069_2022-01-19_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years