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

46 results

Time (local)	Label
1999-12-16 10:02:53	ga_ls7e_ard_3-0-0_099069_1999-12-16_final
1999-12-16 10:03:41	ga_ls7e_ard_3-0-0_099071_1999-12-16_final
2000-02-28 09:04:45	ga_ls7e_ard_3-0-0_089079_2000-02-27_final
2001-02-06 09:48:22	ga_ls7e_ard_3-0-0_097070_2001-02-06_final
2002-02-05 10:14:20	ga_ls7e_ard_3-0-0_101077_2002-02-05_final
2002-03-19 09:17:38	ga_ls7e_ard_3-0-0_091090_2002-03-18_final
2002-05-03 10:22:06	ga_ls7e_ard_3-0-0_102081_2002-05-03_final
2002-10-23 11:30:14	ga_ls7e_ard_3-0-0_113084_2002-10-23_final
2003-04-12 11:08:40	ga_ls7e_ard_3-0-0_110074_2003-04-12_final
2003-12-03 10:53:37	ga_ls7e_ard_3-0-0_107083_2003-12-03_final
2004-01-29 09:07:46	ga_ls7e_ard_3-0-0_090080_2004-01-28_final
2004-01-30 09:49:26	ga_ls7e_ard_3-1-0_097076_2004-01-30_final
2004-02-11 10:12:36	ga_ls7e_ard_3-0-0_101072_2004-02-11_final
2004-02-14 09:09:24	ga_ls7e_ard_3-0-0_090084_2004-02-13_final
2004-04-30 11:09:52	ga_ls7e_ard_3-0-0_110076_2004-04-30_final
2004-09-14 09:27:52	ga_ls7e_ard_3-0-0_093085_2004-09-13_final
2005-05-15 09:56:33	ga_ls7e_ard_3-0-0_098077_2005-05-15_final
2005-06-24 10:45:00	ga_ls7e_ard_3-1-0_106075_2005-06-24_final
2006-04-07 10:03:10	ga_ls7e_ard_3-0-0_099077_2006-04-07_final
2006-06-25 09:23:47	ga_ls7e_ard_3-0-0_092087_2006-06-24_final
2007-03-28 08:57:40	ga_ls7e_ard_3-0-0_088082_2007-03-27_final
2007-08-31 10:55:52	ga_ls7e_ard_3-0-0_108070_2007-08-31_final
2007-10-07 09:40:04	ga_ls7e_ard_3-0-0_095082_2007-10-07_final
2008-03-27 10:00:28	ga_ls7e_ard_3-0-0_099070_2008-03-27_final
2010-03-19 11:27:48	ga_ls7e_ard_3-0-0_113067_2010-03-19_final
2010-04-15 11:11:19	ga_ls7e_ard_3-1-0_110072_2010-04-15_final
2010-04-20 11:33:51	ga_ls7e_ard_3-0-0_113082_2010-04-20_final
2011-04-19 10:16:40	ga_ls7e_ard_3-0-0_101071_2011-04-19_final
2011-09-06 10:42:44	ga_ls7e_ard_3-0-0_105075_2011-09-06_final
2011-12-05 09:38:10	ga_ls7e_ard_3-0-0_095067_2011-12-05_final
2012-04-09 09:55:13	ga_ls7e_ard_3-0-0_097078_2012-04-09_final
2012-06-10 11:45:58	ga_ls7e_ard_3-0-0_115076_2012-06-10_final
2013-08-29 11:14:56	ga_ls7e_ard_3-0-0_110073_2013-08-29_final
2015-05-28 10:49:16	ga_ls7e_ard_3-0-0_105076_2015-05-28_final
2016-01-18 10:29:44	ga_ls7e_ard_3-0-0_102068_2016-01-18_final
2016-09-14 10:31:11	ga_ls7e_ard_3-0-0_102069_2016-09-14_final
2016-11-02 09:42:41	ga_ls7e_ard_3-1-0_093087_2016-11-02_final
2018-11-13 11:28:49	ga_ls7e_ard_3-1-0_112074_2018-11-13_final
2019-10-22 09:43:29	ga_ls7e_ard_3-1-0_097073_2019-10-22_final
2019-11-27 10:56:47	ga_ls7e_ard_3-1-0_109075_2019-11-27_final
2020-02-09 09:49:40	ga_ls7e_ard_3-1-0_099071_2020-02-09_final
2020-02-10 08:56:47	ga_ls7e_ard_3-1-0_090078_2020-02-09_final
2020-10-08 09:28:23	ga_ls7e_ard_3-1-0_097085_2020-10-07_final
2020-10-18 09:58:02	ga_ls7e_ard_3-1-0_103068_2020-10-18_final
2021-05-19 08:25:10	ga_ls7e_ard_3-2-0_090077_2021-05-18_final
2021-11-28 10:32:42	ga_ls7e_ard_3-2-1_113083_2021-11-28_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