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

47 results

Time (local)	Label
1999-12-05 10:26:07	ga_ls7e_ard_3-0-0_102081_1999-12-05_final
2000-12-14 10:30:14	ga_ls7e_ard_3-0-0_103082_2000-12-14_final
2001-01-03 09:59:30	ga_ls7e_ard_3-0-0_099067_2001-01-03_final
2002-03-11 09:59:15	ga_ls7e_ard_3-0-0_099070_2002-03-11_final
2002-09-05 09:45:57	ga_ls7e_ard_3-0-0_097070_2002-09-05_final
2003-05-22 10:21:56	ga_ls7e_ard_3-0-0_102081_2003-05-22_final
2003-07-21 09:09:37	ga_ls7e_ard_3-0-0_090086_2003-07-20_final
2005-01-08 09:02:42	ga_ls7e_ard_3-0-0_089082_2005-01-07_final
2005-01-21 10:06:18	ga_ls7e_ard_3-0-0_100071_2005-01-21_final
2005-04-17 11:09:27	ga_ls7e_ard_3-0-0_110074_2005-04-17_final
2005-12-07 10:09:18	ga_ls7e_ard_3-0-0_100078_2005-12-07_final
2006-09-14 11:41:57	ga_ls7e_ard_3-0-0_115078_2006-09-14_final
2006-09-27 11:10:09	ga_ls7e_ard_3-0-0_110076_2006-09-27_final
2006-09-28 10:17:19	ga_ls7e_ard_3-0-0_101083_2006-09-28_final
2006-12-01 10:15:34	ga_ls7e_ard_3-0-0_101077_2006-12-01_final
2006-12-23 09:37:00	ga_ls7e_ard_3-1-0_095073_2006-12-23_final
2007-01-04 09:59:45	ga_ls7e_ard_3-0-0_099068_2007-01-04_final
2007-02-14 09:54:58	ga_ls7e_ard_3-0-0_098071_2007-02-14_final
2007-12-19 11:09:02	ga_ls7e_ard_3-0-0_110071_2007-12-19_final
2008-02-20 10:24:30	ga_ls7e_ard_3-0-0_103068_2008-02-20_final
2008-03-05 09:01:53	ga_ls7e_ard_3-0-0_089078_2008-03-04_final
2008-08-02 09:59:10	ga_ls7e_ard_3-0-0_099069_2008-08-02_final
2009-02-10 09:59:23	ga_ls7e_ard_3-0-0_099068_2009-02-10_final
2009-06-30 10:29:49	ga_ls7e_ard_3-0-0_103081_2009-06-30_final
2009-09-12 11:04:17	ga_ls7e_ard_3-0-0_109075_2009-09-12_final
2010-04-02 10:06:07	ga_ls7e_ard_3-0-0_099079_2010-04-02_final
2010-04-25 10:11:30	ga_ls7e_ard_3-0-0_100077_2010-04-25_final
2010-06-26 10:25:26	ga_ls7e_ard_3-0-0_102081_2010-06-26_final
2010-11-11 09:26:31	ga_ls7e_ard_3-0-0_092087_2010-11-10_final
2010-12-14 10:03:44	ga_ls7e_ard_3-0-0_099071_2010-12-14_final
2014-02-10 09:54:25	ga_ls7e_ard_3-0-0_097069_2014-02-10_final
2014-02-24 10:09:26	ga_ls7e_ard_3-0-0_099076_2014-02-24_final
2014-12-09 10:08:43	ga_ls7e_ard_3-0-0_099070_2014-12-09_final
2015-10-29 09:46:49	ga_ls7e_ard_3-0-0_095072_2015-10-29_final
2017-11-15 11:53:48	ga_ls7e_ard_3-0-0_115075_2017-11-15_final
2017-12-22 10:31:09	ga_ls7e_ard_3-0-0_102070_2017-12-22_final
2018-06-11 10:13:18	ga_ls7e_ard_3-0-0_099078_2018-06-11_final
2018-10-19 11:35:33	ga_ls7e_ard_3-0-0_113074_2018-10-19_final
2019-04-20 11:39:07	ga_ls7e_ard_3-0-0_114081_2019-04-20_final
2019-06-05 10:09:41	ga_ls7e_ard_3-0-0_100078_2019-06-05_final
2019-06-22 10:49:08	ga_ls7e_ard_3-0-0_107070_2019-06-22_final
2019-08-01 09:58:08	ga_ls7e_ard_3-0-0_099070_2019-08-01_final
2020-08-14 11:00:16	ga_ls7e_ard_3-1-0_112074_2020-08-14_final
2020-08-15 10:07:23	ga_ls7e_ard_3-1-0_103081_2020-08-15_final
2021-05-12 09:58:04	ga_ls7e_ard_3-2-0_105076_2021-05-12_final
2021-05-19 10:05:39	ga_ls7e_ard_3-2-0_106081_2021-05-19_final
2021-06-22 09:50:51	ga_ls7e_ard_3-2-0_104082_2021-06-22_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