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

45 results

Time (local)	Label
2000-02-22 11:18:18	ga_ls7e_ard_3-0-0_111073_2000-02-22_final
2000-10-19 11:15:52	ga_ls7e_ard_3-0-0_111073_2000-10-19_final
2002-09-15 10:27:16	ga_ls7e_ard_3-0-0_103081_2002-09-15_final
2003-11-18 09:55:33	ga_ls7e_ard_3-0-0_098077_2003-11-18_final
2004-08-17 10:38:12	ga_ls7e_ard_3-0-0_105075_2004-08-17_final
2004-12-06 09:52:54	ga_ls7e_ard_3-0-0_098069_2004-12-06_final
2005-01-21 10:06:42	ga_ls7e_ard_3-0-0_100072_2005-01-21_final
2005-04-17 11:12:15	ga_ls7e_ard_3-0-0_110081_2005-04-17_final
2005-06-16 09:56:47	ga_ls7e_ard_3-0-0_098078_2005-06-16_final
2005-12-05 10:18:28	ga_ls7e_ard_3-0-0_102070_2005-12-05_final
2007-11-16 10:29:34	ga_ls7e_ard_3-0-0_103081_2007-11-16_final
2008-12-17 11:36:32	ga_ls7e_ard_3-0-0_114080_2008-12-17_final
2009-03-24 10:42:25	ga_ls7e_ard_3-0-0_105082_2009-03-24_final
2009-04-06 10:07:12	ga_ls7e_ard_3-0-0_100071_2009-04-06_final
2010-06-28 10:11:29	ga_ls7e_ard_3-0-0_100077_2010-06-28_final
2010-10-28 09:15:11	ga_ls7e_ard_3-0-0_090090_2010-10-27_final
2010-12-24 10:40:06	ga_ls7e_ard_3-0-0_105069_2010-12-24_final
2011-07-13 09:00:15	ga_ls7e_ard_3-0-0_088081_2011-07-12_final
2012-01-19 10:52:23	ga_ls7e_ard_3-0-0_106082_2012-01-19_final
2012-01-22 09:40:48	ga_ls7e_ard_3-1-0_095073_2012-01-22_final
2013-06-04 10:15:00	ga_ls7e_ard_3-0-0_100077_2013-06-04_final
2013-06-29 11:46:21	ga_ls7e_ard_3-0-0_115074_2013-06-29_final
2013-11-05 09:13:37	ga_ls7e_ard_3-0-0_090077_2013-11-04_final
2014-01-12 10:29:45	ga_ls7e_ard_3-0-0_102081_2014-01-12_final
2014-12-20 09:56:42	ga_ls7e_ard_3-1-0_096086_2014-12-20_final
2015-03-23 09:25:54	ga_ls7e_ard_3-0-0_091085_2015-03-22_final
2015-07-05 10:13:12	ga_ls7e_ard_3-0-0_099078_2015-07-05_final
2016-02-21 10:21:10	ga_ls7e_ard_3-0-0_100077_2016-02-21_final
2016-03-23 11:16:16	ga_ls7e_ard_3-0-0_109075_2016-03-23_final
2016-09-15 11:17:14	ga_ls7e_ard_3-0-0_109076_2016-09-15_final
2016-11-28 10:12:51	ga_ls7e_ard_3-0-0_099070_2016-11-28_final
2017-04-14 10:05:17	ga_ls7e_ard_3-0-0_098067_2017-04-14_final
2017-10-11 11:20:56	ga_ls7e_ard_3-0-0_110070_2017-10-11_final
2018-02-25 11:15:08	ga_ls7e_ard_3-0-0_109074_2018-02-25_final
2018-03-11 11:26:56	ga_ls7e_ard_3-0-0_111073_2018-03-11_final
2018-07-10 11:18:19	ga_ls7e_ard_3-1-0_110072_2018-07-10_final
2018-09-22 10:17:28	ga_ls7e_ard_3-0-0_100078_2018-09-22_final
2019-04-27 10:04:34	ga_ls7e_ard_3-0-0_099077_2019-04-27_final
2019-07-02 09:46:57	ga_ls7e_ard_3-0-0_097070_2019-07-02_final
2019-11-02 09:24:27	ga_ls7e_ard_3-1-0_094073_2019-11-01_final
2020-02-25 09:48:26	ga_ls7e_ard_3-1-0_099070_2020-02-25_final
2020-03-11 10:43:14	ga_ls7e_ard_3-1-0_108070_2020-03-11_final
2020-04-13 09:48:33	ga_ls7e_ard_3-1-0_099077_2020-04-13_final
2020-05-06 09:53:22	ga_ls7e_ard_3-1-0_100077_2020-05-06_final
2020-09-11 09:45:53	ga_ls7e_ard_3-1-0_100078_2020-09-11_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