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

44 results

Time (local)	Label
1999-09-11 10:06:24	ga_ls7e_ard_3-0-0_099078_1999-09-11_final
2000-06-16 10:08:46	ga_ls7e_ard_3-0-0_100071_2000-06-16_final
2002-02-23 09:58:49	ga_ls7e_ard_3-0-0_099069_2002-02-23_final
2002-07-26 09:52:00	ga_ls7e_ard_3-1-0_098069_2002-07-26_final
2004-09-09 10:44:16	ga_ls7e_ard_3-1-0_106075_2004-09-09_final
2004-12-02 10:22:23	ga_ls7e_ard_3-0-0_102081_2004-12-02_final
2005-01-28 10:13:42	ga_ls7e_ard_3-0-0_101074_2005-01-28_final
2005-05-20 10:15:05	ga_ls7e_ard_3-0-0_101077_2005-05-20_final
2006-02-03 09:12:18	ga_ls7e_ard_3-0-0_090089_2006-02-02_final
2006-09-14 09:59:04	ga_ls7e_ard_3-0-0_099068_2006-09-14_final
2006-10-21 10:18:03	ga_ls7e_ard_3-0-0_102069_2006-10-21_final
2007-05-18 11:04:28	ga_ls7e_ard_3-0-0_109075_2007-05-18_final
2007-08-09 09:57:01	ga_ls7e_ard_3-0-0_098077_2007-08-09_final
2007-08-16 10:03:57	ga_ls7e_ard_3-0-0_099079_2007-08-16_final
2008-04-06 10:41:08	ga_ls7e_ard_3-0-0_105079_2008-04-06_final
2008-05-20 11:04:29	ga_ls7e_ard_3-0-0_109076_2008-05-20_final
2008-09-28 09:56:07	ga_ls7e_ard_3-0-0_098078_2008-09-28_final
2009-07-26 09:27:30	ga_ls7e_ard_3-0-0_093080_2009-07-25_final
2010-08-28 11:17:57	ga_ls7e_ard_3-0-0_111073_2010-08-28_final
2011-01-02 10:33:37	ga_ls7e_ard_3-0-0_104068_2011-01-02_final
2011-03-04 10:08:39	ga_ls7e_ard_3-0-0_099082_2011-03-04_final
2011-03-29 09:56:33	ga_ls7e_ard_3-0-0_098067_2011-03-29_final
2013-03-15 11:12:15	ga_ls7e_ard_3-0-0_109080_2013-03-15_final
2014-04-13 10:08:10	ga_ls7e_ard_3-0-0_099072_2014-04-13_final
2015-02-19 11:03:42	ga_ls7e_ard_3-0-0_107083_2015-02-19_final
2015-04-28 10:39:07	ga_ls7e_ard_3-0-0_103082_2015-04-28_final
2015-07-02 11:20:21	ga_ls7e_ard_3-0-0_110076_2015-07-02_final
2015-09-14 10:19:37	ga_ls7e_ard_3-0-0_100078_2015-09-14_final
2015-11-26 10:14:23	ga_ls7e_ard_3-0-0_099078_2015-11-26_final
2017-04-04 09:36:06	ga_ls7e_ard_3-0-0_092087_2017-04-04_final
2018-02-28 11:48:24	ga_ls7e_ard_3-0-0_114080_2018-02-28_final
2018-06-10 11:07:45	ga_ls7e_ard_3-1-0_108075_2018-06-10_final
2018-06-17 11:13:48	ga_ls7e_ard_3-0-0_109075_2018-06-17_final
2018-10-09 09:24:37	ga_ls7e_ard_3-1-0_091086_2018-10-08_final
2019-04-23 10:31:02	ga_ls7e_ard_3-0-0_103081_2019-04-23_final
2019-07-21 10:21:54	ga_ls7e_ard_3-0-0_102082_2019-07-21_final
2019-07-29 11:08:13	ga_ls7e_ard_3-0-0_110075_2019-07-29_final
2019-11-03 10:10:52	ga_ls7e_ard_3-1-0_101081_2019-11-03_final
2020-01-09 09:01:34	ga_ls7e_ard_3-1-0_090086_2020-01-08_final
2020-03-02 10:51:30	ga_ls7e_ard_3-1-0_109074_2020-03-02_final
2021-05-03 10:04:35	ga_ls7e_ard_3-2-0_106075_2021-05-03_final
2021-10-29 10:19:37	ga_ls7e_ard_3-2-0_111074_2021-10-29_final
2021-12-28 10:38:59	ga_ls7e_ard_3-2-1_115075_2021-12-28_final
2022-03-06 10:07:11	ga_ls7e_ard_3-2-1_111074_2022-03-06_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