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

51 results

Time (local)	Label
2000-04-17 11:24:33	ga_ls7e_ard_3-0-0_112074_2000-04-17_final
2000-12-09 10:09:39	ga_ls7e_ard_3-0-0_100077_2000-12-09_final
2001-10-20 09:49:28	ga_ls7e_ard_3-0-0_097078_2001-10-20_final
2003-11-15 11:03:06	ga_ls7e_ard_3-0-0_109076_2003-11-15_final
2004-01-22 10:37:13	ga_ls7e_ard_3-0-0_105072_2004-01-22_final
2004-09-09 10:41:52	ga_ls7e_ard_3-0-0_106069_2004-09-09_final
2004-10-08 10:13:56	ga_ls7e_ard_3-0-0_101077_2004-10-08_final
2004-11-25 10:14:08	ga_ls7e_ard_3-0-0_101076_2004-11-25_final
2005-07-18 09:57:10	ga_ls7e_ard_3-0-0_098079_2005-07-18_final
2005-11-07 11:34:50	ga_ls7e_ard_3-0-0_114076_2005-11-07_final
2006-01-22 10:23:11	ga_ls7e_ard_3-0-0_102081_2006-01-22_final
2006-03-28 11:03:24	ga_ls7e_ard_3-0-0_109073_2006-03-28_final
2006-12-19 10:04:06	ga_ls7e_ard_3-0-0_099079_2006-12-19_final
2007-03-10 09:09:36	ga_ls7e_ard_3-0-0_090081_2007-03-09_final
2007-05-10 10:17:29	ga_ls7e_ard_3-0-0_101081_2007-05-10_final
2009-03-13 09:23:11	ga_ls7e_ard_3-0-0_092085_2009-03-12_final
2009-10-28 09:39:33	ga_ls7e_ard_3-1-0_095079_2009-10-28_final
2009-12-03 09:19:17	ga_ls7e_ard_3-0-0_091089_2009-12-02_final
2010-02-06 10:01:08	ga_ls7e_ard_3-0-0_098083_2010-02-06_final
2010-04-05 10:35:26	ga_ls7e_ard_3-0-0_104075_2010-04-05_final
2010-05-29 10:01:52	ga_ls7e_ard_3-0-0_098084_2010-05-29_final
2011-03-30 09:07:19	ga_ls7e_ard_3-0-0_089083_2011-03-29_final
2012-06-08 10:19:25	ga_ls7e_ard_3-0-0_101076_2012-06-08_final
2013-05-03 10:18:00	ga_ls7e_ard_3-0-0_100084_2013-05-03_final
2013-12-29 10:15:19	ga_ls7e_ard_3-0-0_100076_2013-12-29_final
2013-12-31 10:06:10	ga_ls7e_ard_3-0-0_098084_2013-12-31_final
2014-02-19 09:54:28	ga_ls7e_ard_3-0-0_096085_2014-02-19_final
2014-04-21 09:24:50	ga_ls7e_ard_3-0-0_091087_2014-04-20_final
2014-09-13 11:43:27	ga_ls7e_ard_3-0-0_114077_2014-09-13_final
2014-09-19 09:32:21	ga_ls7e_ard_3-0-0_092089_2014-09-19_final
2014-11-21 10:26:08	ga_ls7e_ard_3-0-0_101083_2014-11-21_final
2015-03-22 10:18:20	ga_ls7e_ard_3-0-0_100077_2015-03-22_final
2015-12-07 11:33:18	ga_ls7e_ard_3-0-0_112074_2015-12-07_final
2016-05-05 09:22:40	ga_ls7e_ard_3-0-0_090084_2016-05-04_final
2016-06-23 11:38:13	ga_ls7e_ard_3-0-0_113067_2016-06-23_final
2016-10-22 10:00:06	ga_ls7e_ard_3-0-0_096084_2016-10-22_final
2016-11-25 09:43:33	ga_ls7e_ard_3-0-0_094074_2016-11-25_final
2017-02-22 11:16:09	ga_ls7e_ard_3-0-0_109075_2017-02-22_final
2017-03-04 11:53:18	ga_ls7e_ard_3-0-0_115075_2017-03-04_final
2017-04-28 10:22:07	ga_ls7e_ard_3-0-0_100078_2017-04-28_final
2017-11-15 10:13:43	ga_ls7e_ard_3-0-0_099072_2017-11-15_final
2018-04-13 10:29:39	ga_ls7e_ard_3-0-0_102070_2018-04-13_final
2018-08-20 11:12:12	ga_ls7e_ard_3-0-0_109074_2018-08-20_final
2018-09-21 11:11:54	ga_ls7e_ard_3-0-0_109075_2018-09-21_final
2018-12-21 10:53:56	ga_ls7e_ard_3-0-0_106082_2018-12-21_final
2019-08-10 11:33:15	ga_ls7e_ard_3-0-0_114077_2019-08-10_final
2020-03-11 10:44:50	ga_ls7e_ard_3-1-0_108074_2020-03-11_final
2020-04-06 09:43:11	ga_ls7e_ard_3-1-0_098078_2020-04-06_final
2021-01-24 09:41:57	ga_ls7e_ard_3-2-0_101076_2021-01-24_final
2021-09-06 08:32:07	ga_ls7e_ard_3-2-0_092087_2021-09-05_final
2022-03-23 09:08:17	ga_ls7e_ard_3-2-1_102070_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years