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
2000-08-13 09:13:22	ga_ls7e_ard_3-0-0_090089_2000-08-12_final
2001-03-16 09:15:33	ga_ls7e_ard_3-0-0_091081_2001-03-15_final
2001-07-31 10:41:57	ga_ls7e_ard_3-0-0_106068_2001-07-31_final
2001-10-17 09:17:19	ga_ls7e_ard_3-0-0_092075_2001-10-16_final
2002-02-24 09:06:25	ga_ls7e_ard_3-0-0_090077_2002-02-23_final
2002-03-28 09:06:19	ga_ls7e_ard_3-0-0_090077_2002-03-27_final
2003-05-23 11:03:12	ga_ls7e_ard_3-0-0_109076_2003-05-23_final
2003-06-01 09:19:45	ga_ls7e_ard_3-0-0_092080_2003-05-31_final
2004-04-07 11:03:45	ga_ls7e_ard_3-0-0_109076_2004-04-07_final
2004-11-21 10:38:24	ga_ls7e_ard_3-0-0_105075_2004-11-21_final
2004-11-27 10:01:48	ga_ls7e_ard_3-0-0_099076_2004-11-27_final
2005-05-04 10:17:28	ga_ls7e_ard_3-0-0_101083_2005-05-04_final
2006-04-01 10:36:41	ga_ls7e_ard_3-0-0_105068_2006-04-01_final
2006-10-21 10:18:03	ga_ls7e_ard_3-0-0_102069_2006-10-21_final
2007-05-16 09:42:21	ga_ls7e_ard_3-0-0_095086_2007-05-16_final
2008-08-17 10:57:29	ga_ls7e_ard_3-0-0_108076_2008-08-17_final
2009-03-02 09:36:51	ga_ls7e_ard_3-1-0_095073_2009-03-02_final
2009-07-19 09:24:09	ga_ls7e_ard_3-0-0_092087_2009-07-18_final
2009-12-21 09:07:36	ga_ls7e_ard_3-0-0_089090_2009-12-20_final
2010-02-01 09:36:09	ga_ls7e_ard_3-0-0_095067_2010-02-01_final
2010-11-21 09:59:44	ga_ls7e_ard_3-0-0_098077_2010-11-21_final
2010-12-15 09:14:07	ga_ls7e_ard_3-0-0_090086_2010-12-14_final
2011-01-02 10:33:37	ga_ls7e_ard_3-0-0_104068_2011-01-02_final
2011-02-20 09:40:16	ga_ls7e_ard_3-1-0_095073_2011-02-20_final
2011-04-27 11:10:56	ga_ls7e_ard_3-0-0_109083_2011-04-27_final
2012-08-01 11:20:38	ga_ls7e_ard_3-0-0_111073_2012-08-01_final
2013-01-21 10:48:58	ga_ls7e_ard_3-0-0_106068_2013-01-21_final
2013-09-03 11:36:21	ga_ls7e_ard_3-0-0_113080_2013-09-03_final
2014-01-10 09:03:10	ga_ls7e_ard_3-0-0_088081_2014-01-09_final
2014-02-19 09:54:28	ga_ls7e_ard_3-0-0_096085_2014-02-19_final
2014-04-06 10:03:55	ga_ls7e_ard_3-0-0_098077_2014-04-06_final
2014-08-11 10:57:49	ga_ls7e_ard_3-0-0_107071_2014-08-11_final
2014-10-23 10:50:52	ga_ls7e_ard_3-0-0_106068_2014-10-23_final
2014-12-29 09:50:06	ga_ls7e_ard_3-0-0_095085_2014-12-29_final
2015-07-28 10:21:27	ga_ls7e_ard_3-0-0_100083_2015-07-28_final
2016-03-04 10:46:01	ga_ls7e_ard_3-0-0_104077_2016-03-04_final
2016-03-21 11:28:13	ga_ls7e_ard_3-0-0_111074_2016-03-21_final
2016-08-05 11:26:31	ga_ls7e_ard_3-0-0_110084_2016-08-05_final
2017-02-01 09:23:05	ga_ls7e_ard_3-0-0_090086_2017-01-31_final
2017-07-14 09:47:04	ga_ls7e_ard_3-0-0_095067_2017-07-14_final
2017-07-24 10:28:32	ga_ls7e_ard_3-0-0_101078_2017-07-24_final
2017-08-26 11:10:09	ga_ls7e_ard_3-0-0_108074_2017-08-26_final
2018-02-04 09:22:44	ga_ls7e_ard_3-0-0_090086_2018-02-03_final
2018-02-07 11:25:17	ga_ls7e_ard_3-0-0_111068_2018-02-07_final
2018-02-27 09:29:28	ga_ls7e_ard_3-0-0_091088_2018-02-26_final
2018-09-01 09:56:12	ga_ls7e_ard_3-0-0_097070_2018-09-01_final
2018-11-05 10:42:46	ga_ls7e_ard_3-0-0_104082_2018-11-05_final
2019-09-18 09:59:40	ga_ls7e_ard_3-1-0_099079_2019-09-18_final
2019-09-27 09:55:05	ga_ls7e_ard_3-1-0_098084_2019-09-27_final
2019-09-28 08:57:02	ga_ls7e_ard_3-1-0_089078_2019-09-27_final
2020-03-02 10:50:18	ga_ls7e_ard_3-1-0_109071_2020-03-02_final
2020-03-22 10:26:05	ga_ls7e_ard_3-1-0_105075_2020-03-22_final
2021-03-06 09:35:52	ga_ls7e_ard_3-2-0_100084_2021-03-06_final
2021-03-28 10:32:19	ga_ls7e_ard_3-2-0_110075_2021-03-28_final
2021-08-23 09:52:16	ga_ls7e_ard_3-2-0_106068_2021-08-23_final
2021-10-02 09:05:41	ga_ls7e_ard_3-2-0_098084_2021-10-01_final
2021-11-12 10:31:27	ga_ls7e_ard_3-2-1_113076_2021-11-12_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