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

49 results

Time (local)	Label
2000-02-02 10:06:42	ga_ls7e_ard_3-0-0_099079_2000-02-02_final
2000-10-27 10:30:09	ga_ls7e_ard_3-0-0_103082_2000-10-27_final
2001-06-18 09:24:22	ga_ls7e_ard_3-0-0_093074_2001-06-17_final
2002-08-24 11:02:11	ga_ls7e_ard_3-0-0_109075_2002-08-24_final
2003-05-11 09:00:27	ga_ls7e_ard_3-0-0_089078_2003-05-10_final
2004-11-21 10:37:12	ga_ls7e_ard_3-0-0_105072_2004-11-21_final
2005-03-29 10:37:05	ga_ls7e_ard_3-0-0_105070_2005-03-29_final
2005-12-02 09:53:32	ga_ls7e_ard_3-0-0_097085_2005-12-02_final
2006-02-02 10:00:44	ga_ls7e_ard_3-0-0_099071_2006-02-02_final
2006-08-22 09:59:23	ga_ls7e_ard_3-0-0_098084_2006-08-22_final
2007-06-06 09:54:00	ga_ls7e_ard_3-0-0_098069_2007-06-06_final
2007-11-05 10:43:37	ga_ls7e_ard_3-0-0_106070_2007-11-05_final
2008-02-17 11:32:06	ga_ls7e_ard_3-0-0_114067_2008-02-17_final
2008-08-31 09:34:03	ga_ls7e_ard_3-0-0_094084_2008-08-31_final
2008-09-29 10:38:34	ga_ls7e_ard_3-0-0_105076_2008-09-29_final
2009-04-29 10:15:05	ga_ls7e_ard_3-1-0_101075_2009-04-29_final
2009-05-07 09:30:27	ga_ls7e_ard_3-1-0_093087_2009-05-07_final
2009-08-13 09:19:02	ga_ls7e_ard_3-0-0_091090_2009-08-12_final
2010-12-05 10:11:03	ga_ls7e_ard_3-0-0_100074_2010-12-05_final
2010-12-07 11:38:23	ga_ls7e_ard_3-0-0_114076_2010-12-07_final
2011-02-15 10:59:23	ga_ls7e_ard_3-0-0_108070_2011-02-15_final
2011-02-27 09:51:41	ga_ls7e_ard_3-1-0_096086_2011-02-27_final
2011-07-06 10:31:22	ga_ls7e_ard_3-0-0_103077_2011-07-06_final
2013-02-06 10:49:00	ga_ls7e_ard_3-0-0_106068_2013-02-06_final
2013-09-20 09:02:49	ga_ls7e_ard_3-0-0_088082_2013-09-19_final
2014-03-11 09:25:52	ga_ls7e_ard_3-0-0_092075_2014-03-10_final
2014-04-22 11:41:48	ga_ls7e_ard_3-0-0_114074_2014-04-22_final
2014-11-17 09:11:09	ga_ls7e_ard_3-1-0_089081_2014-11-16_final
2015-04-02 10:00:14	ga_ls7e_ard_3-0-0_097078_2015-04-02_final
2016-01-29 10:15:42	ga_ls7e_ard_3-0-0_099079_2016-01-29_final
2016-06-11 11:16:16	ga_ls7e_ard_3-0-0_109074_2016-06-11_final
2017-02-16 11:53:10	ga_ls7e_ard_3-0-0_115075_2017-02-16_final
2017-03-20 11:54:36	ga_ls7e_ard_3-0-0_115078_2017-03-20_final
2017-03-29 10:06:23	ga_ls7e_ard_3-0-0_098070_2017-03-29_final
2018-05-02 09:26:31	ga_ls7e_ard_3-0-0_091083_2018-05-01_final
2018-06-26 09:33:21	ga_ls7e_ard_3-0-0_092087_2018-06-26_final
2018-08-06 10:58:31	ga_ls7e_ard_3-0-0_107070_2018-08-06_final
2019-04-03 09:15:35	ga_ls7e_ard_3-0-0_091076_2019-04-02_final
2019-05-12 09:25:31	ga_ls7e_ard_3-0-0_092089_2019-05-11_final
2019-05-28 09:22:55	ga_ls7e_ard_3-0-0_092084_2019-05-27_final
2019-06-18 11:15:36	ga_ls7e_ard_3-0-0_111074_2019-06-18_final
2020-03-08 10:16:54	ga_ls7e_ard_3-1-0_103081_2020-03-08_final
2020-08-19 09:38:01	ga_ls7e_ard_3-1-0_099070_2020-08-19_final
2021-02-11 09:25:28	ga_ls7e_ard_3-2-0_099069_2021-02-10_final
2021-02-24 10:34:03	ga_ls7e_ard_3-2-0_110073_2021-02-24_final
2021-03-16 10:08:34	ga_ls7e_ard_3-2-0_106075_2021-03-16_final
2021-04-16 09:19:35	ga_ls7e_ard_3-2-0_099067_2021-04-15_final
2021-06-13 08:17:18	ga_ls7e_ard_3-2-0_089078_2021-06-12_final
2021-12-22 09:35:47	ga_ls7e_ard_3-2-1_105070_2021-12-22_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