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

45 results

Time (local)	Label
2000-03-14 10:02:18	ga_ls7e_ard_3-0-0_098084_2000-03-14_final
2001-03-02 09:02:03	ga_ls7e_ard_3-0-0_089078_2001-03-01_final
2001-11-02 10:57:04	ga_ls7e_ard_3-0-0_108077_2001-11-02_final
2002-05-05 10:05:45	ga_ls7e_ard_3-0-0_100071_2002-05-05_final
2003-02-08 10:14:07	ga_ls7e_ard_3-0-0_101077_2003-02-08_final
2003-02-17 10:05:35	ga_ls7e_ard_3-0-0_100071_2003-02-17_final
2003-03-04 09:27:57	ga_ls7e_ard_3-0-0_093085_2003-03-03_final
2003-04-18 10:31:10	ga_ls7e_ard_3-0-0_104073_2003-04-18_final
2004-02-23 10:37:42	ga_ls7e_ard_3-0-0_105073_2004-02-23_final
2004-03-10 10:38:37	ga_ls7e_ard_3-0-0_105075_2004-03-10_final
2004-07-16 10:41:10	ga_ls7e_ard_3-0-0_105082_2004-07-16_final
2004-08-30 10:10:27	ga_ls7e_ard_3-0-0_100083_2004-08-30_final
2004-11-19 09:15:03	ga_ls7e_ard_3-0-0_091083_2004-11-18_final
2004-12-03 11:03:15	ga_ls7e_ard_3-0-0_109075_2004-12-03_final
2006-10-06 11:03:50	ga_ls7e_ard_3-0-0_109076_2006-10-06_final
2007-01-13 09:55:57	ga_ls7e_ard_3-0-0_098074_2007-01-13_final
2007-01-29 09:54:52	ga_ls7e_ard_3-0-0_098071_2007-01-29_final
2007-02-03 10:17:50	ga_ls7e_ard_3-0-0_101082_2007-02-03_final
2007-03-10 10:45:18	ga_ls7e_ard_3-0-0_106073_2007-03-10_final
2007-04-20 09:06:36	ga_ls7e_ard_3-0-0_089089_2007-04-19_final
2008-01-14 10:07:16	ga_ls7e_ard_3-0-0_100071_2008-01-14_final
2008-07-07 09:27:08	ga_ls7e_ard_3-0-0_093081_2008-07-06_final
2010-10-08 09:37:42	ga_ls7e_ard_3-0-0_094085_2010-10-08_final
2011-08-11 10:08:55	ga_ls7e_ard_3-0-0_099083_2011-08-11_final
2013-01-28 10:59:58	ga_ls7e_ard_3-0-0_107080_2013-01-28_final
2013-02-16 11:28:28	ga_ls7e_ard_3-0-0_112074_2013-02-16_final
2013-12-07 09:13:51	ga_ls7e_ard_3-0-0_090077_2013-12-06_final
2014-04-23 09:08:54	ga_ls7e_ard_3-0-0_089078_2014-04-22_final
2014-09-19 11:05:39	ga_ls7e_ard_3-1-0_108075_2014-09-19_final
2015-05-18 10:14:34	ga_ls7e_ard_3-0-0_099082_2015-05-18_final
2016-08-28 11:28:45	ga_ls7e_ard_3-0-0_111074_2016-08-28_final
2017-02-15 09:36:36	ga_ls7e_ard_3-0-0_092089_2017-02-15_final
2017-03-29 10:06:47	ga_ls7e_ard_3-0-0_098071_2017-03-29_final
2017-04-15 09:13:40	ga_ls7e_ard_3-0-0_089077_2017-04-14_final
2018-02-13 10:53:44	ga_ls7e_ard_3-0-0_105082_2018-02-13_final
2018-05-10 10:09:49	ga_ls7e_ard_3-0-0_099068_2018-05-10_final
2018-10-10 10:07:04	ga_ls7e_ard_3-0-0_098084_2018-10-10_final
2020-03-06 10:26:58	ga_ls7e_ard_3-1-0_105075_2020-03-06_final
2020-04-13 09:48:57	ga_ls7e_ard_3-1-0_099078_2020-04-13_final
2020-05-25 10:22:18	ga_ls7e_ard_3-1-0_105075_2020-05-25_final
2020-05-31 09:45:40	ga_ls7e_ard_3-1-0_099077_2020-05-31_final
2020-09-01 10:49:32	ga_ls7e_ard_3-1-0_110081_2020-09-01_final
2021-05-19 08:28:46	ga_ls7e_ard_3-2-0_090086_2021-05-18_final
2021-07-10 09:32:12	ga_ls7e_ard_3-2-0_102070_2021-07-10_final
2021-07-25 10:27:43	ga_ls7e_ard_3-2-0_111073_2021-07-25_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years