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

46 results

Time (local)	Label
1999-10-20 10:12:11	ga_ls7e_ard_3-0-0_100077_1999-10-20_final
2001-08-22 10:08:06	ga_ls7e_ard_3-0-0_100077_2001-08-22_final
2003-08-05 10:01:54	ga_ls7e_ard_3-0-0_099078_2003-08-05_final
2003-08-05 10:02:18	ga_ls7e_ard_3-0-0_099079_2003-08-05_final
2004-08-31 09:16:01	ga_ls7e_ard_3-1-0_091086_2004-08-30_final
2005-01-21 10:06:18	ga_ls7e_ard_3-0-0_100071_2005-01-21_final
2005-01-30 10:02:57	ga_ls7e_ard_3-0-0_099078_2005-01-30_final
2005-05-16 10:39:25	ga_ls7e_ard_3-0-0_105076_2005-05-16_final
2005-07-22 11:12:31	ga_ls7e_ard_3-0-0_110082_2005-07-22_final
2005-08-10 10:02:53	ga_ls7e_ard_3-0-0_099078_2005-08-10_final
2006-04-17 10:39:48	ga_ls7e_ard_3-0-0_105076_2006-04-17_final
2006-09-28 10:17:19	ga_ls7e_ard_3-0-0_101083_2006-09-28_final
2006-11-14 11:09:49	ga_ls7e_ard_3-0-0_110074_2006-11-14_final
2007-02-25 09:37:16	ga_ls7e_ard_3-1-0_095073_2007-02-25_final
2007-06-04 10:09:33	ga_ls7e_ard_3-0-0_100077_2007-06-04_final
2007-07-31 10:01:15	ga_ls7e_ard_3-0-0_099072_2007-07-31_final
2007-08-05 10:20:10	ga_ls7e_ard_3-0-0_102073_2007-08-05_final
2007-09-22 10:23:02	ga_ls7e_ard_3-0-0_102081_2007-09-22_final
2008-08-23 10:22:22	ga_ls7e_ard_3-0-0_102081_2008-08-23_final
2008-08-31 09:31:16	ga_ls7e_ard_3-0-0_094077_2008-08-31_final
2009-04-19 11:16:03	ga_ls7e_ard_3-0-0_111073_2009-04-19_final
2009-11-29 09:41:10	ga_ls7e_ard_3-0-0_095082_2009-11-29_final
2009-12-27 10:00:44	ga_ls7e_ard_3-0-0_099068_2009-12-27_final
2010-02-07 10:41:13	ga_ls7e_ard_3-0-0_105075_2010-02-07_final
2010-05-30 10:38:44	ga_ls7e_ard_3-0-0_105068_2010-05-30_final
2010-11-19 10:12:04	ga_ls7e_ard_3-0-0_100077_2010-11-19_final
2011-02-18 11:31:54	ga_ls7e_ard_3-0-0_113074_2011-02-18_final
2011-05-28 10:24:27	ga_ls7e_ard_3-0-0_102075_2011-05-28_final
2011-07-17 10:12:49	ga_ls7e_ard_3-0-0_100077_2011-07-17_final
2011-09-05 09:56:41	ga_ls7e_ard_3-0-0_098068_2011-09-05_final
2012-04-19 10:28:45	ga_ls7e_ard_3-0-0_103069_2012-04-19_final
2012-04-25 11:36:44	ga_ls7e_ard_3-0-0_113084_2012-04-25_final
2014-07-06 11:23:36	ga_ls7e_ard_3-0-0_111074_2014-07-06_final
2014-07-28 09:08:56	ga_ls7e_ard_3-0-0_089077_2014-07-27_final
2014-09-22 11:40:10	ga_ls7e_ard_3-0-0_113084_2014-09-22_final
2017-04-22 10:57:58	ga_ls7e_ard_3-1-0_106075_2017-04-22_final
2017-08-11 10:16:32	ga_ls7e_ard_3-0-0_099079_2017-08-11_final
2017-10-14 10:13:21	ga_ls7e_ard_3-0-0_099071_2017-10-14_final
2019-08-07 11:05:16	ga_ls7e_ard_3-0-0_109084_2019-08-07_final
2020-02-21 10:12:34	ga_ls7e_ard_3-1-0_103068_2020-02-21_final
2020-04-10 10:54:43	ga_ls7e_ard_3-1-0_110072_2020-04-10_final
2020-05-21 10:47:16	ga_ls7e_ard_3-1-0_109075_2020-05-21_final
2020-06-05 10:05:55	ga_ls7e_ard_3-1-0_102082_2020-06-05_final
2020-07-29 11:05:16	ga_ls7e_ard_3-1-0_112084_2020-07-29_final
2022-01-19 09:57:23	ga_ls7e_ard_3-2-1_109069_2022-01-19_final
2022-01-20 09:07:15	ga_ls7e_ard_3-2-1_100083_2022-01-19_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