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
1999-10-04 10:12:44	ga_ls7e_ard_3-0-0_100078_1999-10-04_final
2001-02-06 09:48:22	ga_ls7e_ard_3-0-0_097070_2001-02-06_final
2001-12-04 10:58:49	ga_ls7e_ard_3-0-0_108081_2001-12-04_final
2001-12-21 10:01:48	ga_ls7e_ard_3-0-0_099077_2001-12-21_final
2003-06-01 09:19:45	ga_ls7e_ard_3-0-0_092080_2003-05-31_final
2004-01-12 10:02:02	ga_ls7e_ard_3-0-0_099077_2004-01-12_final
2004-03-09 11:31:03	ga_ls7e_ard_3-0-0_114067_2004-03-09_final
2004-03-16 10:02:46	ga_ls7e_ard_3-0-0_099078_2004-03-16_final
2004-05-19 10:00:19	ga_ls7e_ard_3-0-0_099072_2004-05-19_final
2005-07-17 09:15:30	ga_ls7e_ard_3-0-0_091083_2005-07-16_final
2005-12-02 09:53:32	ga_ls7e_ard_3-0-0_097085_2005-12-02_final
2006-03-05 09:23:57	ga_ls7e_ard_3-0-0_092087_2006-03-04_final
2006-03-06 10:03:37	ga_ls7e_ard_3-0-0_099078_2006-03-06_final
2006-04-29 11:04:10	ga_ls7e_ard_3-0-0_109075_2006-04-29_final
2006-11-10 09:57:36	ga_ls7e_ard_3-0-0_098079_2006-11-10_final
2007-11-28 09:13:53	ga_ls7e_ard_3-0-0_091077_2007-11-27_final
2009-03-25 09:40:49	ga_ls7e_ard_3-0-0_096067_2009-03-25_final
2009-05-07 09:30:27	ga_ls7e_ard_3-1-0_093087_2009-05-07_final
2009-11-01 10:54:10	ga_ls7e_ard_3-0-0_107080_2009-11-01_final
2010-06-23 11:33:48	ga_ls7e_ard_3-0-0_113082_2010-06-23_final
2010-08-24 10:02:59	ga_ls7e_ard_3-0-0_099071_2010-08-24_final
2010-10-29 09:55:39	ga_ls7e_ard_3-0-0_097083_2010-10-29_final
2011-03-06 09:51:07	ga_ls7e_ard_3-0-0_097069_2011-03-06_final
2011-04-15 10:45:00	ga_ls7e_ard_3-1-0_105080_2011-04-15_final
2012-08-10 09:41:17	ga_ls7e_ard_3-0-0_094087_2012-08-10_final
2013-11-07 09:02:53	ga_ls7e_ard_3-0-0_088081_2013-11-06_final
2014-04-06 10:00:20	ga_ls7e_ard_3-0-0_098068_2014-04-06_final
2014-12-16 10:15:24	ga_ls7e_ard_3-0-0_100071_2014-12-16_final
2015-07-14 10:02:41	ga_ls7e_ard_3-0-0_098067_2015-07-14_final
2016-04-22 09:49:07	ga_ls7e_ard_3-1-0_095073_2016-04-22_final
2016-05-11 10:21:42	ga_ls7e_ard_3-0-0_100077_2016-05-11_final
2017-08-16 10:35:52	ga_ls7e_ard_3-0-0_102081_2017-08-16_final
2018-03-28 10:30:42	ga_ls7e_ard_3-0-0_102072_2018-03-28_final
2018-04-15 10:22:02	ga_ls7e_ard_3-0-0_100082_2018-04-15_final
2018-06-02 10:19:14	ga_ls7e_ard_3-0-0_100077_2018-06-02_final
2018-07-08 11:28:44	ga_ls7e_ard_3-0-0_112067_2018-07-08_final
2018-10-19 11:35:33	ga_ls7e_ard_3-0-0_113074_2018-10-19_final
2018-11-10 09:24:42	ga_ls7e_ard_3-0-0_091088_2018-11-09_final
2019-08-09 09:14:21	ga_ls7e_ard_3-0-0_091085_2019-08-08_final
2019-10-24 11:09:55	ga_ls7e_ard_3-1-0_111073_2019-10-24_final
2020-01-18 10:26:39	ga_ls7e_ard_3-1-0_105068_2020-01-18_final
2020-02-25 09:51:37	ga_ls7e_ard_3-1-0_099078_2020-02-25_final
2020-06-06 09:12:14	ga_ls7e_ard_3-1-0_093087_2020-06-05_final
2020-07-28 08:43:12	ga_ls7e_ard_3-1-0_089084_2020-07-27_final
2021-01-23 10:35:38	ga_ls7e_ard_3-2-0_110071_2021-01-23_final
2021-06-22 09:47:16	ga_ls7e_ard_3-2-0_104073_2021-06-22_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