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

48 results

Time (local)	Label
2000-02-17 10:58:39	ga_ls7e_ard_3-0-0_108070_2000-02-17_final
2000-12-06 11:16:23	ga_ls7e_ard_3-0-0_111074_2000-12-06_final
2001-04-25 11:42:28	ga_ls7e_ard_3-0-0_115078_2001-04-25_final
2003-08-30 11:32:59	ga_ls7e_ard_3-0-0_114074_2003-08-30_final
2005-03-30 09:41:51	ga_ls7e_ard_3-0-0_096071_2005-03-30_final
2006-01-01 10:03:16	ga_ls7e_ard_3-0-0_099078_2006-01-01_final
2006-01-05 11:15:04	ga_ls7e_ard_3-0-0_111072_2006-01-05_final
2006-01-16 09:22:32	ga_ls7e_ard_3-0-0_092084_2006-01-15_final
2006-05-09 10:00:47	ga_ls7e_ard_3-0-0_099071_2006-05-09_final
2006-07-17 10:22:14	ga_ls7e_ard_3-0-0_102079_2006-07-17_final
2006-09-17 08:56:16	ga_ls7e_ard_3-0-0_088081_2006-09-16_final
2007-03-10 10:45:18	ga_ls7e_ard_3-0-0_106073_2007-03-10_final
2007-05-28 10:00:12	ga_ls7e_ard_3-0-0_099069_2007-05-28_final
2007-05-29 10:44:39	ga_ls7e_ard_3-0-0_106072_2007-05-29_final
2008-06-17 11:28:10	ga_ls7e_ard_3-0-0_113074_2008-06-17_final
2008-09-28 09:58:07	ga_ls7e_ard_3-0-0_098083_2008-09-28_final
2009-04-21 11:05:17	ga_ls7e_ard_3-0-0_109077_2009-04-21_final
2010-03-23 09:27:24	ga_ls7e_ard_3-0-0_093075_2010-03-22_final
2011-03-22 09:51:07	ga_ls7e_ard_3-0-0_097069_2011-03-22_final
2011-08-25 10:16:28	ga_ls7e_ard_3-0-0_101071_2011-08-25_final
2012-01-13 09:51:48	ga_ls7e_ard_3-0-0_096085_2012-01-13_final
2012-06-11 10:49:09	ga_ls7e_ard_3-0-0_106073_2012-06-11_final
2012-07-11 11:03:04	ga_ls7e_ard_3-0-0_108076_2012-07-11_final
2012-12-19 10:06:03	ga_ls7e_ard_3-0-0_099069_2012-12-19_final
2013-02-25 09:42:33	ga_ls7e_ard_3-0-0_095072_2013-02-25_final
2013-06-12 09:24:44	ga_ls7e_ard_3-0-0_092075_2013-06-11_final
2013-08-05 10:28:31	ga_ls7e_ard_3-0-0_102081_2013-08-05_final
2015-01-10 10:11:17	ga_ls7e_ard_3-0-0_099076_2015-01-10_final
2015-04-07 10:18:03	ga_ls7e_ard_3-0-0_100076_2015-04-07_final
2015-04-16 10:09:33	ga_ls7e_ard_3-0-0_099070_2015-04-16_final
2015-09-13 11:14:50	ga_ls7e_ard_3-0-0_109077_2015-09-13_final
2016-01-28 09:33:37	ga_ls7e_ard_3-0-0_092082_2016-01-28_final
2016-02-02 09:48:37	ga_ls7e_ard_3-1-0_095073_2016-02-02_final
2016-02-23 10:06:01	ga_ls7e_ard_3-0-0_098070_2016-02-23_final
2016-05-24 11:29:20	ga_ls7e_ard_3-0-0_111076_2016-05-24_final
2016-06-02 09:47:55	ga_ls7e_ard_3-0-0_094085_2016-06-02_final
2016-06-11 11:15:04	ga_ls7e_ard_3-0-0_109071_2016-06-11_final
2016-08-08 10:16:08	ga_ls7e_ard_3-0-0_099078_2016-08-08_final
2016-09-02 10:09:38	ga_ls7e_ard_3-0-0_098077_2016-09-02_final
2016-11-26 10:28:00	ga_ls7e_ard_3-0-0_101077_2016-11-26_final
2017-12-15 10:25:27	ga_ls7e_ard_3-0-0_101071_2017-12-15_final
2018-01-19 10:55:06	ga_ls7e_ard_3-0-0_106069_2018-01-19_final
2018-05-05 11:35:50	ga_ls7e_ard_3-0-0_112082_2018-05-05_final
2018-12-21 10:48:21	ga_ls7e_ard_3-0-0_106068_2018-12-21_final
2019-12-27 09:27:58	ga_ls7e_ard_3-1-0_095073_2019-12-26_final
2020-03-01 10:08:18	ga_ls7e_ard_3-1-0_102074_2020-03-01_final
2022-01-20 09:07:39	ga_ls7e_ard_3-2-1_100084_2022-01-19_final
2022-03-10 09:45:39	ga_ls7e_ard_3-2-1_107083_2022-03-10_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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