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

50 results

Time (local)	Label
2000-04-18 10:31:42	ga_ls7e_ard_3-0-0_103081_2000-04-18_final
2000-07-28 10:44:47	ga_ls7e_ard_3-0-0_106070_2000-07-28_final
2001-11-07 11:13:42	ga_ls7e_ard_3-0-0_111072_2001-11-07_final
2002-10-30 09:55:07	ga_ls7e_ard_3-0-0_098078_2002-10-30_final
2004-03-28 10:23:56	ga_ls7e_ard_3-0-0_103069_2004-03-28_final
2004-04-27 10:38:33	ga_ls7e_ard_3-0-0_105075_2004-04-27_final
2004-08-07 10:03:07	ga_ls7e_ard_3-0-0_099080_2004-08-07_final
2004-11-09 10:15:36	ga_ls7e_ard_3-0-0_101080_2004-11-09_final
2004-11-17 09:24:11	ga_ls7e_ard_3-0-0_093075_2004-11-16_final
2004-12-01 09:35:31	ga_ls7e_ard_3-0-0_095072_2004-12-01_final
2005-03-11 09:12:59	ga_ls7e_ard_3-0-0_091076_2005-03-10_final
2005-05-24 09:47:57	ga_ls7e_ard_3-0-0_097071_2005-05-24_final
2006-03-14 10:51:52	ga_ls7e_ard_3-0-0_107075_2006-03-14_final
2006-12-13 09:06:16	ga_ls7e_ard_3-0-0_089089_2006-12-12_final
2006-12-23 09:40:12	ga_ls7e_ard_3-0-0_095081_2006-12-23_final
2007-03-15 11:04:39	ga_ls7e_ard_3-0-0_109075_2007-03-15_final
2007-03-17 09:17:48	ga_ls7e_ard_3-1-0_091086_2007-03-16_final
2007-11-05 09:07:55	ga_ls7e_ard_3-0-0_090078_2007-11-04_final
2007-12-07 10:43:51	ga_ls7e_ard_3-0-0_106070_2007-12-07_final
2009-05-17 11:42:50	ga_ls7e_ard_3-0-0_115078_2009-05-17_final
2010-01-07 09:43:34	ga_ls7e_ard_3-0-0_096071_2010-01-07_final
2010-09-26 09:14:10	ga_ls7e_ard_3-0-0_090088_2010-09-25_final
2011-03-21 09:13:27	ga_ls7e_ard_3-0-0_090083_2011-03-20_final
2011-07-20 09:07:37	ga_ls7e_ard_3-0-0_089084_2011-07-19_final
2012-01-11 10:04:10	ga_ls7e_ard_3-0-0_098085_2012-01-11_final
2012-10-20 11:19:05	ga_ls7e_ard_3-0-0_111067_2012-10-20_final
2012-12-17 10:23:35	ga_ls7e_ard_3-0-0_101082_2012-12-17_final
2012-12-19 10:06:26	ga_ls7e_ard_3-0-0_099070_2012-12-19_final
2013-01-10 11:08:41	ga_ls7e_ard_3-0-0_109071_2013-01-10_final
2013-10-30 09:53:50	ga_ls7e_ard_3-0-0_096085_2013-10-30_final
2014-01-22 11:07:51	ga_ls7e_ard_3-0-0_108083_2014-01-22_final
2014-03-28 10:11:16	ga_ls7e_ard_3-0-0_099080_2014-03-28_final
2014-03-28 11:49:21	ga_ls7e_ard_3-0-0_115078_2014-03-28_final
2015-12-29 10:54:32	ga_ls7e_ard_3-0-0_106069_2015-12-29_final
2016-02-15 09:24:10	ga_ls7e_ard_3-0-0_090089_2016-02-14_final
2016-12-31 10:55:54	ga_ls7e_ard_3-0-0_106070_2016-12-31_final
2017-03-20 10:15:19	ga_ls7e_ard_3-0-0_099077_2017-03-20_final
2017-06-16 09:31:05	ga_ls7e_ard_3-0-0_091089_2017-06-16_final
2017-12-09 09:30:54	ga_ls7e_ard_3-0-0_091089_2017-12-09_final
2018-03-01 10:47:59	ga_ls7e_ard_3-0-0_105068_2018-03-01_final
2018-03-07 10:17:13	ga_ls7e_ard_3-0-0_099084_2018-03-07_final
2018-04-24 10:11:19	ga_ls7e_ard_3-0-0_099071_2018-04-24_final
2018-09-29 10:22:17	ga_ls7e_ard_3-1-0_101075_2018-09-29_final
2020-04-13 09:46:10	ga_ls7e_ard_3-1-0_099071_2020-04-13_final
2020-05-21 09:10:23	ga_ls7e_ard_3-1-0_093080_2020-05-20_final
2020-07-19 08:52:19	ga_ls7e_ard_3-1-0_090090_2020-07-18_final
2021-11-03 10:38:53	ga_ls7e_ard_3-2-0_114077_2021-11-03_final
2021-12-06 09:37:19	ga_ls7e_ard_3-2-1_105070_2021-12-06_final
2022-01-23 07:56:59	ga_ls7e_ard_3-2-1_089078_2022-01-22_final
2022-03-03 07:58:54	ga_ls7e_ard_3-2-1_090077_2022-03-02_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