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
2000-06-01 10:54:05	ga_ls7e_ard_3-0-0_107076_2000-06-01_final
2000-07-17 09:27:53	ga_ls7e_ard_3-0-0_093078_2000-07-16_final
2000-12-02 10:00:41	ga_ls7e_ard_3-0-0_099070_2000-12-02_final
2003-01-04 09:45:42	ga_ls7e_ard_3-0-0_096084_2003-01-04_final
2003-11-26 09:08:58	ga_ls7e_ard_3-0-0_090084_2003-11-25_final
2004-08-31 10:49:19	ga_ls7e_ard_3-0-0_107072_2004-08-31_final
2005-07-22 09:30:26	ga_ls7e_ard_3-0-0_094074_2005-07-22_final
2006-12-03 10:03:37	ga_ls7e_ard_3-0-0_099078_2006-12-03_final
2007-06-22 09:59:59	ga_ls7e_ard_3-0-0_098084_2007-06-22_final
2007-08-11 11:25:07	ga_ls7e_ard_3-0-0_112081_2007-08-11_final
2008-03-05 10:37:11	ga_ls7e_ard_3-0-0_105069_2008-03-05_final
2009-11-17 10:51:12	ga_ls7e_ard_3-0-0_107072_2009-11-17_final
2009-11-29 09:41:34	ga_ls7e_ard_3-0-0_095083_2009-11-29_final
2010-04-18 10:02:08	ga_ls7e_ard_3-0-0_099069_2010-04-18_final
2010-06-30 09:59:08	ga_ls7e_ard_3-0-0_098077_2010-06-30_final
2010-07-17 09:03:56	ga_ls7e_ard_3-0-0_089078_2010-07-16_final
2010-11-07 11:27:40	ga_ls7e_ard_3-0-0_112081_2010-11-07_final
2010-12-13 09:27:15	ga_ls7e_ard_3-0-0_092088_2010-12-12_final
2011-04-21 10:05:07	ga_ls7e_ard_3-0-0_099073_2011-04-21_final
2011-09-11 10:59:39	ga_ls7e_ard_3-0-0_108071_2011-09-11_final
2012-03-06 10:03:37	ga_ls7e_ard_3-0-0_099068_2012-03-06_final
2012-03-08 11:32:55	ga_ls7e_ard_3-0-0_113075_2012-03-08_final
2012-03-22 11:46:08	ga_ls7e_ard_3-0-0_115077_2012-03-22_final
2012-08-31 09:58:50	ga_ls7e_ard_3-0-0_097084_2012-08-31_final
2012-12-29 09:10:40	ga_ls7e_ard_3-0-0_089085_2012-12-28_final
2013-10-15 10:35:26	ga_ls7e_ard_3-0-0_103081_2013-10-15_final
2014-06-23 10:17:32	ga_ls7e_ard_3-0-0_100079_2014-06-23_final
2014-07-03 10:51:30	ga_ls7e_ard_3-0-0_106071_2014-07-03_final
2015-02-27 10:12:46	ga_ls7e_ard_3-0-0_099079_2015-02-27_final
2016-02-02 11:25:06	ga_ls7e_ard_3-0-0_111067_2016-02-02_final
2016-03-01 10:17:28	ga_ls7e_ard_3-0-0_099083_2016-03-01_final
2016-03-06 10:31:17	ga_ls7e_ard_3-0-0_102071_2016-03-06_final
2016-03-16 09:36:21	ga_ls7e_ard_3-0-0_092088_2016-03-16_final
2016-10-19 09:28:00	ga_ls7e_ard_3-0-0_091081_2016-10-18_final
2017-09-17 10:35:50	ga_ls7e_ard_3-0-0_102081_2017-09-17_final
2018-07-23 10:47:12	ga_ls7e_ard_3-0-0_105072_2018-07-23_final
2018-09-15 11:49:32	ga_ls7e_ard_3-0-0_115076_2018-09-15_final
2019-01-15 09:06:55	ga_ls7e_ard_3-0-0_089079_2019-01-14_final
2019-01-21 10:08:07	ga_ls7e_ard_3-0-0_099078_2019-01-21_final
2019-08-18 10:40:17	ga_ls7e_ard_3-0-0_106069_2019-08-18_final
2020-01-16 09:04:37	ga_ls7e_ard_3-1-0_091079_2020-01-15_final
2020-01-20 10:15:47	ga_ls7e_ard_3-1-0_103072_2020-01-20_final
2020-03-21 09:44:05	ga_ls7e_ard_3-1-0_098078_2020-03-21_final
2020-08-26 09:49:20	ga_ls7e_ard_3-1-0_100084_2020-08-26_final
2021-01-12 09:16:05	ga_ls7e_ard_3-1-0_097071_2021-01-11_final
2021-01-12 10:59:45	ga_ls7e_ard_3-1-0_113083_2021-01-12_final
2021-03-26 09:04:46	ga_ls7e_ard_3-2-0_096072_2021-03-25_final
2021-05-18 09:18:05	ga_ls7e_ard_3-2-0_099070_2021-05-17_final
2021-10-25 10:45:54	ga_ls7e_ard_3-2-0_115077_2021-10-25_final
2022-01-03 08:23:36	ga_ls7e_ard_3-2-1_093078_2022-01-02_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years