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

46 results

Time (local)	Label
2000-08-08 10:29:19	ga_ls7e_ard_3-0-0_103078_2000-08-08_final
2001-01-26 10:09:25	ga_ls7e_ard_3-0-0_100076_2001-01-26_final
2001-03-24 10:05:42	ga_ls7e_ard_3-0-0_099083_2001-03-24_final
2001-04-25 10:04:23	ga_ls7e_ard_3-0-0_099080_2001-04-25_final
2002-01-18 10:28:39	ga_ls7e_ard_3-0-0_103082_2002-01-18_final
2002-02-23 09:58:25	ga_ls7e_ard_3-0-0_099068_2002-02-23_final
2003-04-22 10:08:25	ga_ls7e_ard_3-0-0_100078_2003-04-22_final
2003-07-21 10:45:43	ga_ls7e_ard_3-0-0_106079_2003-07-21_final
2004-12-06 09:58:53	ga_ls7e_ard_3-0-0_098084_2004-12-06_final
2004-12-31 09:48:06	ga_ls7e_ard_3-0-0_097072_2004-12-31_final
2005-02-06 10:09:13	ga_ls7e_ard_3-0-0_100078_2005-02-06_final
2005-10-26 11:09:11	ga_ls7e_ard_3-0-0_110074_2005-10-26_final
2007-02-14 09:55:22	ga_ls7e_ard_3-0-0_098072_2007-02-14_final
2007-02-26 10:19:21	ga_ls7e_ard_3-0-0_102070_2007-02-26_final
2008-03-05 10:36:47	ga_ls7e_ard_3-0-0_105068_2008-03-05_final
2008-04-12 10:03:15	ga_ls7e_ard_3-0-0_099077_2008-04-12_final
2008-05-20 11:04:29	ga_ls7e_ard_3-0-0_109076_2008-05-20_final
2009-08-07 09:47:46	ga_ls7e_ard_3-0-0_097069_2009-08-07_final
2009-10-04 10:27:57	ga_ls7e_ard_3-0-0_103077_2009-10-04_final
2010-03-05 09:41:40	ga_ls7e_ard_3-0-0_095080_2010-03-05_final
2010-12-12 10:16:05	ga_ls7e_ard_3-0-0_101071_2010-12-12_final
2012-02-18 11:05:40	ga_ls7e_ard_3-0-0_108084_2012-02-18_final
2012-06-19 10:02:11	ga_ls7e_ard_3-0-0_098079_2012-06-19_final
2012-06-23 11:15:34	ga_ls7e_ard_3-0-0_110077_2012-06-23_final
2012-07-11 09:27:47	ga_ls7e_ard_3-0-0_092085_2012-07-10_final
2012-09-13 11:01:22	ga_ls7e_ard_3-0-0_108070_2012-09-13_final
2012-11-02 09:18:32	ga_ls7e_ard_3-0-0_090090_2012-11-01_final
2013-05-07 09:53:16	ga_ls7e_ard_3-0-0_096084_2013-05-07_final
2014-06-05 10:26:16	ga_ls7e_ard_3-0-0_102070_2014-06-05_final
2014-08-19 11:50:26	ga_ls7e_ard_3-0-0_115079_2014-08-19_final
2015-03-25 10:48:51	ga_ls7e_ard_3-0-0_105076_2015-03-25_final
2015-08-29 10:19:08	ga_ls7e_ard_3-0-0_100077_2015-08-29_final
2017-09-10 10:30:04	ga_ls7e_ard_3-0-0_101082_2017-09-10_final
2017-09-24 10:42:01	ga_ls7e_ard_3-0-0_103081_2017-09-24_final
2018-07-28 11:05:39	ga_ls7e_ard_3-0-0_108072_2018-07-28_final
2019-05-05 09:16:49	ga_ls7e_ard_3-0-0_091082_2019-05-04_final
2019-06-08 10:39:16	ga_ls7e_ard_3-0-0_105075_2019-06-08_final
2019-07-11 11:20:54	ga_ls7e_ard_3-0-0_112074_2019-07-11_final
2020-03-07 09:35:41	ga_ls7e_ard_3-1-0_096086_2020-03-07_final
2020-07-15 10:50:59	ga_ls7e_ard_3-1-0_110077_2020-07-15_final
2020-10-10 09:16:18	ga_ls7e_ard_3-1-0_095086_2020-10-09_final
2020-11-20 09:07:46	ga_ls7e_ard_3-1-0_094087_2020-11-19_final
2021-03-06 09:32:17	ga_ls7e_ard_3-2-0_100075_2021-03-06_final
2021-06-11 08:33:01	ga_ls7e_ard_3-2-0_091086_2021-06-10_final
2021-10-10 09:48:27	ga_ls7e_ard_3-2-0_106069_2021-10-10_final
2022-03-23 09:09:05	ga_ls7e_ard_3-2-1_102072_2022-03-22_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years