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

49 results

Time (local)	Label
1999-11-27 11:11:53	ga_ls7e_ard_3-1-0_110072_1999-11-27_final
1999-12-05 10:26:07	ga_ls7e_ard_3-0-0_102081_1999-12-05_final
1999-12-25 11:38:40	ga_ls7e_ard_3-0-0_114077_1999-12-25_final
2000-05-18 09:06:36	ga_ls7e_ard_3-0-0_089085_2000-05-17_final
2000-08-12 10:04:12	ga_ls7e_ard_3-0-0_099077_2000-08-12_final
2000-12-02 10:04:16	ga_ls7e_ard_3-0-0_099079_2000-12-02_final
2001-10-17 09:22:07	ga_ls7e_ard_3-0-0_092087_2001-10-16_final
2001-11-21 11:28:10	ga_ls7e_ard_3-0-0_113077_2001-11-21_final
2002-10-21 11:38:59	ga_ls7e_ard_3-0-0_115075_2002-10-21_final
2004-05-28 09:56:06	ga_ls7e_ard_3-0-0_098077_2004-05-28_final
2004-07-25 10:34:55	ga_ls7e_ard_3-0-0_104082_2004-07-25_final
2005-03-20 10:42:53	ga_ls7e_ard_3-0-0_106069_2005-03-20_final
2005-12-03 08:56:20	ga_ls7e_ard_3-0-0_088081_2005-12-02_final
2005-12-21 10:21:17	ga_ls7e_ard_3-0-0_102077_2005-12-21_final
2006-03-08 09:49:40	ga_ls7e_ard_3-0-0_097074_2006-03-08_final
2006-05-11 09:53:37	ga_ls7e_ard_3-0-0_097084_2006-05-11_final
2007-02-26 10:23:44	ga_ls7e_ard_3-0-0_102081_2007-02-26_final
2007-03-14 10:18:59	ga_ls7e_ard_3-0-0_102069_2007-03-14_final
2007-11-05 10:43:37	ga_ls7e_ard_3-0-0_106070_2007-11-05_final
2008-05-02 11:15:21	ga_ls7e_ard_3-0-0_111072_2008-05-02_final
2008-06-09 09:01:55	ga_ls7e_ard_3-0-0_089079_2008-06-08_final
2008-10-21 09:59:30	ga_ls7e_ard_3-0-0_099071_2008-10-21_final
2008-11-13 10:06:26	ga_ls7e_ard_3-0-0_100072_2008-11-13_final
2009-02-20 09:04:28	ga_ls7e_ard_3-0-0_089085_2009-02-19_final
2009-05-07 09:30:27	ga_ls7e_ard_3-1-0_093087_2009-05-07_final
2009-07-20 10:03:49	ga_ls7e_ard_3-0-0_099078_2009-07-20_final
2010-09-13 09:43:53	ga_ls7e_ard_3-0-0_095085_2010-09-13_final
2011-04-27 11:10:56	ga_ls7e_ard_3-0-0_109083_2011-04-27_final
2011-12-19 09:57:25	ga_ls7e_ard_3-0-0_097084_2011-12-19_final
2012-12-12 10:04:11	ga_ls7e_ard_3-0-0_098080_2012-12-12_final
2013-07-03 11:24:47	ga_ls7e_ard_3-1-0_111082_2013-07-03_final
2014-02-12 09:43:13	ga_ls7e_ard_3-0-0_095072_2014-02-12_final
2014-12-07 10:26:16	ga_ls7e_ard_3-0-0_101083_2014-12-07_final
2015-05-29 11:32:33	ga_ls7e_ard_3-0-0_112076_2015-05-29_final
2015-07-13 09:24:36	ga_ls7e_ard_3-0-0_091080_2015-07-12_final
2016-05-10 11:16:55	ga_ls7e_ard_3-0-0_109076_2016-05-10_final
2016-06-07 11:42:34	ga_ls7e_ard_3-0-0_113078_2016-06-07_final
2016-06-26 10:35:25	ga_ls7e_ard_3-0-0_102080_2016-06-26_final
2016-11-30 11:43:45	ga_ls7e_ard_3-0-0_113081_2016-11-30_final
2017-05-13 11:15:25	ga_ls7e_ard_3-0-0_109072_2017-05-13_final
2017-07-11 10:55:27	ga_ls7e_ard_3-0-0_106068_2017-07-11_final
2019-09-28 08:57:50	ga_ls7e_ard_3-1-0_089080_2019-09-27_final
2019-11-06 09:05:32	ga_ls7e_ard_3-1-0_090088_2019-11-05_final
2020-03-09 10:58:06	ga_ls7e_ard_3-1-0_110076_2020-03-09_final
2020-03-26 10:02:20	ga_ls7e_ard_3-1-0_101078_2020-03-26_final
2020-05-01 11:10:01	ga_ls7e_ard_3-1-0_113067_2020-05-01_final
2020-09-03 10:33:51	ga_ls7e_ard_3-1-0_108073_2020-09-03_final
2021-01-30 09:02:50	ga_ls7e_ard_3-2-0_095072_2021-01-29_final
2021-09-07 09:13:42	ga_ls7e_ard_3-2-0_099083_2021-09-06_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