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

59 results

Time (local)	Label
1999-10-29 10:03:13	ga_ls7e_ard_3-0-0_099070_1999-10-29_final
1999-11-30 10:02:18	ga_ls7e_ard_3-0-0_099068_1999-11-30_final
2000-05-21 11:11:56	ga_ls7e_ard_3-0-0_110074_2000-05-21_final
2000-08-01 10:24:26	ga_ls7e_ard_3-1-0_102081_2000-08-01_final
2001-01-26 10:10:37	ga_ls7e_ard_3-0-0_100079_2001-01-26_final
2001-06-24 10:28:50	ga_ls7e_ard_3-0-0_103081_2001-06-24_final
2001-08-06 10:05:57	ga_ls7e_ard_3-0-0_100071_2001-08-06_final
2002-10-02 11:11:36	ga_ls7e_ard_3-1-0_110084_2002-10-02_final
2002-11-01 11:17:17	ga_ls7e_ard_3-0-0_112067_2002-11-01_final
2003-02-15 10:17:33	ga_ls7e_ard_3-0-0_102070_2003-02-15_final
2003-05-18 10:44:40	ga_ls7e_ard_3-0-0_106076_2003-05-18_final
2003-07-20 09:58:52	ga_ls7e_ard_3-0-0_099070_2003-07-20_final
2003-10-06 10:12:02	ga_ls7e_ard_3-0-0_101073_2003-10-06_final
2004-01-11 10:56:28	ga_ls7e_ard_3-0-0_108074_2004-01-11_final
2004-02-05 10:50:52	ga_ls7e_ard_3-0-0_107075_2004-02-05_final
2004-02-07 09:00:25	ga_ls7e_ard_3-0-0_089077_2004-02-06_final
2004-10-08 10:13:56	ga_ls7e_ard_3-0-0_101077_2004-10-08_final
2005-09-28 09:06:34	ga_ls7e_ard_3-0-0_090077_2005-09-27_final
2005-11-25 11:19:02	ga_ls7e_ard_3-0-0_112067_2005-11-25_final
2006-05-06 11:08:22	ga_ls7e_ard_3-0-0_110070_2006-05-06_final
2006-06-25 09:23:24	ga_ls7e_ard_3-0-0_092086_2006-06-24_final
2006-08-23 10:39:27	ga_ls7e_ard_3-0-0_105076_2006-08-23_final
2006-09-02 11:15:18	ga_ls7e_ard_3-0-0_111073_2006-09-02_final
2006-10-08 10:51:07	ga_ls7e_ard_3-0-0_107075_2006-10-08_final
2007-02-08 10:30:49	ga_ls7e_ard_3-0-0_104068_2007-02-08_final
2007-09-27 10:39:34	ga_ls7e_ard_3-0-0_105076_2007-09-27_final
2008-02-18 10:39:40	ga_ls7e_ard_3-0-0_105075_2008-02-18_final
2008-03-18 10:07:03	ga_ls7e_ard_3-0-0_100071_2008-03-18_final
2008-05-31 09:12:34	ga_ls7e_ard_3-0-0_090090_2008-05-30_final
2008-07-28 11:18:45	ga_ls7e_ard_3-0-0_112067_2008-07-28_final
2009-05-17 10:04:21	ga_ls7e_ard_3-0-0_099079_2009-05-17_final
2010-11-28 10:02:24	ga_ls7e_ard_3-0-0_099068_2010-11-28_final
2012-06-10 11:47:10	ga_ls7e_ard_3-0-0_115079_2012-06-10_final
2013-01-02 10:19:15	ga_ls7e_ard_3-0-0_101071_2013-01-02_final
2013-06-29 11:46:21	ga_ls7e_ard_3-0-0_115074_2013-06-29_final
2013-09-08 10:15:16	ga_ls7e_ard_3-0-0_100078_2013-09-08_final
2014-06-20 11:27:05	ga_ls7e_ard_3-0-0_111083_2014-06-20_final
2015-01-21 11:28:01	ga_ls7e_ard_3-0-0_112067_2015-01-21_final
2015-05-11 10:09:08	ga_ls7e_ard_3-0-0_098084_2015-05-11_final
2015-05-22 09:43:52	ga_ls7e_ard_3-0-0_095067_2015-05-22_final
2015-08-26 09:44:15	ga_ls7e_ard_3-0-0_095067_2015-08-26_final
2015-11-20 10:47:24	ga_ls7e_ard_3-0-0_105068_2015-11-20_final
2017-01-23 11:01:49	ga_ls7e_ard_3-0-0_107070_2017-01-23_final
2017-02-27 11:31:32	ga_ls7e_ard_3-0-0_112067_2017-02-27_final
2017-06-01 11:44:23	ga_ls7e_ard_3-0-0_114067_2017-06-01_final
2019-03-26 10:08:30	ga_ls7e_ard_3-1-0_099084_2019-03-26_final
2019-03-30 09:36:51	ga_ls7e_ard_3-0-0_095067_2019-03-30_final
2019-08-30 11:06:29	ga_ls7e_ard_3-1-0_110074_2019-08-30_final
2019-11-02 11:02:08	ga_ls7e_ard_3-1-0_110070_2019-11-02_final
2020-01-12 09:24:45	ga_ls7e_ard_3-1-0_095067_2020-01-11_final
2020-05-30 09:06:03	ga_ls7e_ard_3-1-0_092086_2020-05-29_final
2020-06-20 09:15:48	ga_ls7e_ard_3-1-0_095067_2020-06-19_final
2021-01-21 09:08:52	ga_ls7e_ard_3-2-0_096070_2021-01-20_final
2021-07-15 08:14:37	ga_ls7e_ard_3-2-0_089078_2021-07-14_final
2021-11-11 08:14:36	ga_ls7e_ard_3-2-0_090089_2021-11-10_final
2021-12-28 09:01:18	ga_ls7e_ard_3-2-1_099078_2021-12-27_final
2022-01-03 09:58:53	ga_ls7e_ard_3-2-1_109069_2022-01-03_final
2022-02-04 10:01:47	ga_ls7e_ard_3-2-1_109084_2022-02-04_final
2022-04-04 09:33:51	ga_ls7e_ard_3-2-1_106075_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

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