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

57 results

Time (local)	Label
2000-11-05 10:19:37	ga_ls7e_ard_3-0-0_102071_2000-11-05_final
2004-02-02 10:22:21	ga_ls7e_ard_3-0-0_102081_2004-02-02_final
2004-02-22 09:56:02	ga_ls7e_ard_3-0-0_098077_2004-02-22_final
2004-06-03 09:22:58	ga_ls7e_ard_3-0-0_092087_2004-06-02_final
2004-09-08 10:02:12	ga_ls7e_ard_3-0-0_099078_2004-09-08_final
2004-12-28 10:55:16	ga_ls7e_ard_3-0-0_108070_2004-12-28_final
2005-04-20 10:02:38	ga_ls7e_ard_3-0-0_099077_2005-04-20_final
2005-05-16 10:39:25	ga_ls7e_ard_3-0-0_105076_2005-05-16_final
2006-08-01 11:15:46	ga_ls7e_ard_3-0-0_111074_2006-08-01_final
2006-10-16 10:03:00	ga_ls7e_ard_3-0-0_099078_2006-10-16_final
2007-01-12 10:51:35	ga_ls7e_ard_3-0-0_107074_2007-01-12_final
2007-05-29 10:47:50	ga_ls7e_ard_3-0-0_106080_2007-05-29_final
2007-11-14 09:06:13	ga_ls7e_ard_3-0-0_089089_2007-11-13_final
2008-06-28 11:09:54	ga_ls7e_ard_3-0-0_110075_2008-06-28_final
2008-07-08 10:06:47	ga_ls7e_ard_3-0-0_100072_2008-07-08_final
2009-03-19 10:23:26	ga_ls7e_ard_3-0-0_102081_2009-03-19_final
2009-08-13 10:50:20	ga_ls7e_ard_3-0-0_107071_2009-08-13_final
2009-09-23 09:10:50	ga_ls7e_ard_3-1-0_090085_2009-09-22_final
2009-12-25 10:18:39	ga_ls7e_ard_3-0-0_101082_2009-12-25_final
2010-02-04 10:11:05	ga_ls7e_ard_3-0-0_100077_2010-02-04_final
2010-02-13 10:01:01	ga_ls7e_ard_3-0-0_099067_2010-02-13_final
2010-02-21 10:56:07	ga_ls7e_ard_3-0-0_107081_2010-02-21_final
2010-02-21 10:56:55	ga_ls7e_ard_3-0-0_107083_2010-02-21_final
2010-04-18 10:05:20	ga_ls7e_ard_3-0-0_099077_2010-04-18_final
2010-07-25 11:27:53	ga_ls7e_ard_3-0-0_113067_2010-07-25_final
2010-11-02 09:31:46	ga_ls7e_ard_3-0-0_093085_2010-11-02_final
2011-10-14 10:03:11	ga_ls7e_ard_3-0-0_099069_2011-10-14_final
2012-01-12 10:40:38	ga_ls7e_ard_3-0-0_105068_2012-01-12_final
2012-02-28 09:58:16	ga_ls7e_ard_3-0-0_098070_2012-02-28_final
2012-06-18 09:22:54	ga_ls7e_ard_3-0-0_091089_2012-06-17_final
2013-04-14 09:42:48	ga_ls7e_ard_3-1-0_095073_2013-04-14_final
2014-02-01 10:00:13	ga_ls7e_ard_3-0-0_098068_2014-02-01_final
2014-04-22 10:01:19	ga_ls7e_ard_3-0-0_098070_2014-04-22_final
2015-02-25 10:24:18	ga_ls7e_ard_3-0-0_101077_2015-02-25_final
2015-10-26 09:17:53	ga_ls7e_ard_3-0-0_090077_2015-10-25_final
2015-12-06 10:50:25	ga_ls7e_ard_3-0-0_105075_2015-12-06_final
2016-04-12 09:15:57	ga_ls7e_ard_3-0-0_089083_2016-04-11_final
2016-08-26 10:03:49	ga_ls7e_ard_3-0-0_097078_2016-08-26_final
2016-09-01 11:07:39	ga_ls7e_ard_3-0-0_107083_2016-09-01_final
2016-11-22 09:14:39	ga_ls7e_ard_3-0-0_089079_2016-11-21_final
2017-06-13 10:35:52	ga_ls7e_ard_3-0-0_102081_2017-06-13_final
2018-04-08 10:16:46	ga_ls7e_ard_3-0-0_099084_2018-04-08_final
2018-04-09 10:54:26	ga_ls7e_ard_3-0-0_106070_2018-04-09_final
2018-11-10 10:56:48	ga_ls7e_ard_3-0-0_107071_2018-11-10_final
2018-11-18 10:09:57	ga_ls7e_ard_3-0-0_099078_2018-11-18_final
2019-05-12 09:25:31	ga_ls7e_ard_3-0-0_092089_2019-05-11_final
2019-08-14 11:07:10	ga_ls7e_ard_3-0-0_110074_2019-08-14_final
2020-01-28 09:23:57	ga_ls7e_ard_3-1-0_095067_2020-01-27_final
2020-03-28 09:49:52	ga_ls7e_ard_3-1-0_099078_2020-03-28_final
2020-07-29 11:01:17	ga_ls7e_ard_3-1-0_112074_2020-07-29_final
2020-07-30 10:08:23	ga_ls7e_ard_3-1-0_103081_2020-07-30_final
2020-10-24 09:24:33	ga_ls7e_ard_3-1-0_097078_2020-10-23_final
2021-01-28 09:17:44	ga_ls7e_ard_3-2-0_097078_2021-01-27_final
2021-05-27 10:52:00	ga_ls7e_ard_3-2-0_114075_2021-05-27_final
2021-06-14 08:57:17	ga_ls7e_ard_3-2-0_096070_2021-06-13_final
2021-10-31 10:07:28	ga_ls7e_ard_3-2-0_109075_2021-10-31_final
2021-11-13 09:32:32	ga_ls7e_ard_3-2-1_104068_2021-11-13_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