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

48 results

Time (local)	Label
2001-11-02 09:17:23	ga_ls7e_ard_3-0-0_092075_2001-11-01_final
2001-11-11 10:48:38	ga_ls7e_ard_3-0-0_107071_2001-11-11_final
2001-12-28 10:08:21	ga_ls7e_ard_3-0-0_100078_2001-12-28_final
2002-04-03 10:08:50	ga_ls7e_ard_3-0-0_100079_2002-04-03_final
2002-08-18 09:58:05	ga_ls7e_ard_3-0-0_099069_2002-08-18_final
2003-03-14 10:01:51	ga_ls7e_ard_3-0-0_099077_2003-03-14_final
2003-10-23 09:22:10	ga_ls7e_ard_3-0-0_092087_2003-10-22_final
2003-11-08 09:21:30	ga_ls7e_ard_3-0-0_092085_2003-11-07_final
2003-12-27 11:41:17	ga_ls7e_ard_3-0-0_115078_2003-12-27_final
2004-10-23 09:32:33	ga_ls7e_ard_3-0-0_094081_2004-10-23_final
2005-09-25 10:14:57	ga_ls7e_ard_3-0-0_101078_2005-09-25_final
2005-10-13 09:59:01	ga_ls7e_ard_3-0-0_099069_2005-10-13_final
2005-12-10 09:02:55	ga_ls7e_ard_3-0-0_089082_2005-12-09_final
2006-02-19 09:07:34	ga_ls7e_ard_3-0-0_090077_2006-02-18_final
2006-09-17 08:56:39	ga_ls7e_ard_3-0-0_088082_2006-09-16_final
2006-09-21 10:07:36	ga_ls7e_ard_3-0-0_100074_2006-09-21_final
2007-04-10 10:00:51	ga_ls7e_ard_3-0-0_099070_2007-04-10_final
2007-06-12 10:56:13	ga_ls7e_ard_3-0-0_108070_2007-06-12_final
2008-06-21 09:30:06	ga_ls7e_ard_3-1-0_093088_2008-06-21_final
2008-10-13 10:50:00	ga_ls7e_ard_3-0-0_107074_2008-10-13_final
2009-02-19 09:57:41	ga_ls7e_ard_3-0-0_098079_2009-02-19_final
2009-07-05 10:43:09	ga_ls7e_ard_3-0-0_106068_2009-07-05_final
2010-01-17 10:20:25	ga_ls7e_ard_3-0-0_102070_2010-01-17_final
2010-02-21 09:17:14	ga_ls7e_ard_3-0-0_091081_2010-02-20_final
2010-05-05 10:44:58	ga_ls7e_ard_3-0-0_106068_2010-05-05_final
2010-07-16 09:58:45	ga_ls7e_ard_3-0-0_098076_2010-07-16_final
2011-04-04 09:27:52	ga_ls7e_ard_3-0-0_092088_2011-04-03_final
2011-08-04 11:38:04	ga_ls7e_ard_3-0-0_114074_2011-08-04_final
2013-01-19 09:25:37	ga_ls7e_ard_3-0-0_092076_2013-01-18_final
2013-09-25 11:00:41	ga_ls7e_ard_3-0-0_107083_2013-09-25_final
2013-10-01 10:21:17	ga_ls7e_ard_3-0-0_101077_2013-10-01_final
2014-01-28 10:26:29	ga_ls7e_ard_3-0-0_102072_2014-01-28_final
2016-08-18 09:13:57	ga_ls7e_ard_3-0-0_089077_2016-08-17_final
2017-03-11 10:19:03	ga_ls7e_ard_3-0-0_100071_2017-03-11_final
2017-04-09 09:50:17	ga_ls7e_ard_3-0-0_095076_2017-04-09_final
2017-06-05 09:40:48	ga_ls7e_ard_3-1-0_094067_2017-06-05_final
2018-02-27 09:29:28	ga_ls7e_ard_3-0-0_091088_2018-02-26_final
2018-11-23 10:24:47	ga_ls7e_ard_3-0-0_102069_2018-11-23_final
2019-02-22 10:03:09	ga_ls7e_ard_3-1-0_099068_2019-02-22_final
2019-05-01 11:20:58	ga_ls7e_ard_3-0-0_111083_2019-05-01_final
2019-06-22 09:17:02	ga_ls7e_ard_3-0-0_091087_2019-06-21_final
2019-09-07 10:15:06	ga_ls7e_ard_3-1-0_102070_2019-09-07_final
2020-01-28 09:30:44	ga_ls7e_ard_3-1-0_095084_2020-01-28_final
2020-08-05 09:26:09	ga_ls7e_ard_3-1-0_097069_2020-08-04_final
2020-09-17 09:11:36	ga_ls7e_ard_3-1-0_094086_2020-09-16_final
2021-01-24 09:42:21	ga_ls7e_ard_3-2-0_101077_2021-01-24_final
2021-09-18 10:33:28	ga_ls7e_ard_3-2-0_112084_2021-09-18_final
2022-01-13 08:56:57	ga_ls7e_ard_3-2-1_099071_2022-01-12_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