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

60 results

Time (local)	Label
1999-12-09 09:56:40	ga_ls7e_ard_3-0-0_098069_1999-12-09_final
2000-04-27 10:25:34	ga_ls7e_ard_3-0-0_102081_2000-04-27_final
2000-11-19 10:35:09	ga_ls7e_ard_3-0-0_104079_2000-11-19_final
2000-12-23 10:21:19	ga_ls7e_ard_3-0-0_102075_2000-12-23_final
2001-02-19 10:57:57	ga_ls7e_ard_3-0-0_108074_2001-02-19_final
2002-02-23 09:58:49	ga_ls7e_ard_3-0-0_099069_2002-02-23_final
2003-01-07 10:13:47	ga_ls7e_ard_3-0-0_101077_2003-01-07_final
2003-12-11 09:59:28	ga_ls7e_ard_3-0-0_099071_2003-12-11_final
2003-12-15 09:35:35	ga_ls7e_ard_3-1-0_095073_2003-12-15_final
2004-02-18 10:22:22	ga_ls7e_ard_3-0-0_102081_2004-02-18_final
2004-02-20 10:06:01	ga_ls7e_ard_3-0-0_100071_2004-02-20_final
2004-03-19 08:55:36	ga_ls7e_ard_3-0-0_088080_2004-03-18_final
2005-01-23 09:53:32	ga_ls7e_ard_3-0-0_098070_2005-01-23_final
2005-05-02 10:29:02	ga_ls7e_ard_3-0-0_103081_2005-05-02_final
2005-11-13 10:56:13	ga_ls7e_ard_3-0-0_108072_2005-11-13_final
2006-02-07 10:23:17	ga_ls7e_ard_3-0-0_102081_2006-02-07_final
2006-02-11 09:54:11	ga_ls7e_ard_3-0-0_098070_2006-02-11_final
2006-10-01 09:06:55	ga_ls7e_ard_3-0-0_090077_2006-09-30_final
2006-10-08 10:51:07	ga_ls7e_ard_3-0-0_107075_2006-10-08_final
2006-10-16 11:42:18	ga_ls7e_ard_3-0-0_115079_2006-10-16_final
2006-12-13 09:02:17	ga_ls7e_ard_3-0-0_089079_2006-12-12_final
2008-05-07 09:59:46	ga_ls7e_ard_3-0-0_098084_2008-05-07_final
2008-12-01 09:59:05	ga_ls7e_ard_3-0-0_098084_2008-12-01_final
2009-01-09 10:00:47	ga_ls7e_ard_3-0-0_099072_2009-01-09_final
2009-03-02 11:16:56	ga_ls7e_ard_3-0-0_111076_2009-03-02_final
2009-09-01 09:47:57	ga_ls7e_ard_3-0-0_096085_2009-09-01_final
2009-10-19 11:26:04	ga_ls7e_ard_3-0-0_112083_2009-10-19_final
2009-11-27 09:48:19	ga_ls7e_ard_3-0-0_097069_2009-11-27_final
2009-12-29 11:26:54	ga_ls7e_ard_3-0-0_113067_2009-12-29_final
2010-04-19 09:12:30	ga_ls7e_ard_3-0-0_090084_2010-04-18_final
2010-06-09 11:22:13	ga_ls7e_ard_3-0-0_111084_2010-06-09_final
2010-07-29 11:06:45	ga_ls7e_ard_3-0-0_109076_2010-07-29_final
2010-11-04 09:19:02	ga_ls7e_ard_3-0-0_091084_2010-11-03_final
2011-10-01 10:38:52	ga_ls7e_ard_3-0-0_104081_2011-10-01_final
2011-10-14 10:07:10	ga_ls7e_ard_3-0-0_099079_2011-10-14_final
2012-01-19 10:52:47	ga_ls7e_ard_3-0-0_106083_2012-01-19_final
2012-07-18 11:08:32	ga_ls7e_ard_3-0-0_109074_2012-07-18_final
2012-11-16 09:22:13	ga_ls7e_ard_3-0-0_092068_2012-11-15_final
2013-08-05 10:28:31	ga_ls7e_ard_3-0-0_102081_2013-08-05_final
2015-05-02 10:12:50	ga_ls7e_ard_3-0-0_099078_2015-05-02_final
2015-05-23 10:32:43	ga_ls7e_ard_3-0-0_102081_2015-05-23_final
2015-09-05 10:25:20	ga_ls7e_ard_3-0-0_101077_2015-09-05_final
2016-08-11 10:48:38	ga_ls7e_ard_3-0-0_104082_2016-08-11_final
2016-09-30 10:32:49	ga_ls7e_ard_3-1-0_102073_2016-09-30_final
2016-12-13 09:36:18	ga_ls7e_ard_3-0-0_092087_2016-12-13_final
2016-12-15 10:55:14	ga_ls7e_ard_3-0-0_106068_2016-12-15_final
2017-09-28 10:16:54	ga_ls7e_ard_3-0-0_099080_2017-09-28_final
2019-01-14 10:04:33	ga_ls7e_ard_3-0-0_098084_2019-01-14_final
2019-03-30 11:17:44	ga_ls7e_ard_3-0-0_111072_2019-03-30_final
2019-04-05 09:03:57	ga_ls7e_ard_3-0-0_089078_2019-04-04_final
2019-06-14 10:03:10	ga_ls7e_ard_3-0-0_099078_2019-06-14_final
2019-07-16 10:01:57	ga_ls7e_ard_3-0-0_099078_2019-07-16_final
2019-10-09 10:18:07	ga_ls7e_ard_3-1-0_102081_2019-10-09_final
2020-02-09 09:52:27	ga_ls7e_ard_3-1-0_099078_2020-02-09_final
2020-02-16 09:55:53	ga_ls7e_ard_3-1-0_100072_2020-02-16_final
2020-06-15 10:39:37	ga_ls7e_ard_3-1-0_108075_2020-06-15_final
2020-11-16 11:06:51	ga_ls7e_ard_3-1-0_114075_2020-11-16_final
2020-11-20 10:45:27	ga_ls7e_ard_3-1-0_110084_2020-11-20_final
2021-03-21 08:47:26	ga_ls7e_ard_3-2-0_093074_2021-03-20_final
2021-11-09 10:02:50	ga_ls7e_ard_3-2-0_108081_2021-11-09_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