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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

53 results

Time (local)	Label
2000-03-21 11:45:00	ga_ls7e_ard_3-0-0_115078_2000-03-21_final
2000-04-22 10:02:37	ga_ls7e_ard_3-0-0_099070_2000-04-22_final
2002-02-08 10:42:52	ga_ls7e_ard_3-0-0_106071_2002-02-08_final
2003-03-21 10:08:23	ga_ls7e_ard_3-0-0_100078_2003-03-21_final
2003-11-10 10:42:53	ga_ls7e_ard_3-0-0_106072_2003-11-10_final
2003-12-08 11:07:49	ga_ls7e_ard_3-1-0_110072_2003-12-08_final
2003-12-21 09:04:57	ga_ls7e_ard_3-1-0_089089_2003-12-20_final
2004-07-08 09:48:33	ga_ls7e_ard_3-0-0_097074_2004-07-08_final
2005-06-01 09:03:16	ga_ls7e_ard_3-0-0_089083_2005-05-31_final
2006-01-06 10:19:04	ga_ls7e_ard_3-0-0_102071_2006-01-06_final
2006-03-22 10:01:13	ga_ls7e_ard_3-0-0_099072_2006-03-22_final
2006-07-02 11:03:37	ga_ls7e_ard_3-0-0_109074_2006-07-02_final
2006-10-18 09:49:53	ga_ls7e_ard_3-1-0_097076_2006-10-18_final
2007-10-29 09:06:03	ga_ls7e_ard_3-1-0_089089_2007-10-28_final
2007-12-06 10:00:59	ga_ls7e_ard_3-0-0_099071_2007-12-06_final
2008-01-22 09:24:36	ga_ls7e_ard_3-0-0_092088_2008-01-21_final
2008-04-26 10:17:34	ga_ls7e_ard_3-0-0_101082_2008-04-26_final
2008-06-15 10:03:39	ga_ls7e_ard_3-0-0_099079_2008-06-15_final
2008-07-01 10:00:42	ga_ls7e_ard_3-0-0_099072_2008-07-01_final
2009-01-27 09:47:43	ga_ls7e_ard_3-0-0_097070_2009-01-27_final
2009-10-11 10:30:53	ga_ls7e_ard_3-0-0_104069_2009-10-11_final
2009-10-24 11:41:30	ga_ls7e_ard_3-0-0_115075_2009-10-24_final
2010-02-24 09:44:11	ga_ls7e_ard_3-0-0_096071_2010-02-24_final
2010-07-05 10:20:05	ga_ls7e_ard_3-0-0_101083_2010-07-05_final
2010-09-28 10:33:54	ga_ls7e_ard_3-0-0_104071_2010-09-28_final
2011-03-29 09:58:08	ga_ls7e_ard_3-0-0_098071_2011-03-29_final
2011-04-29 10:53:23	ga_ls7e_ard_3-0-0_107070_2011-04-29_final
2011-06-26 11:29:11	ga_ls7e_ard_3-0-0_113067_2011-06-26_final
2012-01-28 09:10:07	ga_ls7e_ard_3-1-0_089089_2012-01-27_final
2012-07-21 09:58:12	ga_ls7e_ard_3-0-0_098068_2012-07-21_final
2012-12-12 10:00:12	ga_ls7e_ard_3-0-0_098070_2012-12-12_final
2013-01-05 09:14:04	ga_ls7e_ard_3-0-0_090078_2013-01-04_final
2013-01-20 10:09:17	ga_ls7e_ard_3-0-0_099077_2013-01-20_final
2013-04-27 09:13:24	ga_ls7e_ard_3-0-0_090077_2013-04-26_final
2014-04-06 10:05:07	ga_ls7e_ard_3-1-0_098080_2014-04-06_final
2014-05-10 09:47:51	ga_ls7e_ard_3-0-0_096067_2014-05-10_final
2016-10-22 11:34:59	ga_ls7e_ard_3-0-0_112074_2016-10-22_final
2017-02-25 10:06:35	ga_ls7e_ard_3-0-0_098071_2017-02-25_final
2017-11-01 10:01:00	ga_ls7e_ard_3-0-0_097071_2017-11-01_final
2018-09-23 09:25:25	ga_ls7e_ard_3-0-0_091087_2018-09-22_final
2019-07-20 09:35:53	ga_ls7e_ard_3-0-0_095075_2019-07-20_final
2019-10-03 10:53:03	ga_ls7e_ard_3-1-0_108075_2019-10-03_final
2020-03-21 11:21:22	ga_ls7e_ard_3-1-0_114074_2020-03-21_final
2020-05-09 08:47:12	ga_ls7e_ard_3-1-0_089082_2020-05-08_final
2020-11-01 08:34:35	ga_ls7e_ard_3-1-0_089078_2020-10-31_final
2020-12-13 09:06:40	ga_ls7e_ard_3-1-0_095073_2020-12-12_final
2021-02-13 09:17:21	ga_ls7e_ard_3-2-0_097080_2021-02-12_final
2021-03-31 09:27:17	ga_ls7e_ard_3-2-0_099083_2021-03-30_final
2021-08-11 09:29:24	ga_ls7e_ard_3-2-0_102070_2021-08-10_final
2021-09-08 09:56:52	ga_ls7e_ard_3-2-0_106083_2021-09-08_final
2021-12-22 08:01:18	ga_ls7e_ard_3-2-1_089081_2021-12-21_final
2022-01-23 09:32:16	ga_ls7e_ard_3-2-1_105069_2022-01-23_final
2022-04-05 08:37:20	ga_ls7e_ard_3-2-1_097073_2022-04-04_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