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
2000-02-18 11:45:05	ga_ls7e_ard_3-0-0_115078_2000-02-18_final
2000-10-05 11:06:56	ga_ls7e_ard_3-1-0_109081_2000-10-05_final
2003-09-26 11:17:04	ga_ls7e_ard_3-0-0_111081_2003-09-26_final
2005-10-07 10:37:12	ga_ls7e_ard_3-0-0_105072_2005-10-07_final
2006-04-07 10:03:58	ga_ls7e_ard_3-0-0_099079_2006-04-07_final
2006-09-06 09:18:28	ga_ls7e_ard_3-0-0_091090_2006-09-05_final
2006-12-19 10:04:30	ga_ls7e_ard_3-0-0_099080_2006-12-19_final
2007-01-24 11:15:58	ga_ls7e_ard_3-0-0_111073_2007-01-24_final
2007-07-30 09:23:35	ga_ls7e_ard_3-0-0_092086_2007-07-29_final
2007-10-18 09:18:53	ga_ls7e_ard_3-0-0_092075_2007-10-17_final
2007-11-22 09:50:56	ga_ls7e_ard_3-0-0_097077_2007-11-22_final
2008-02-03 11:22:35	ga_ls7e_ard_3-0-0_112074_2008-02-03_final
2008-03-05 10:36:47	ga_ls7e_ard_3-0-0_105068_2008-03-05_final
2011-08-20 10:00:44	ga_ls7e_ard_3-0-0_098078_2011-08-20_final
2011-10-15 09:13:57	ga_ls7e_ard_3-1-0_090085_2011-10-14_final
2011-12-25 10:58:54	ga_ls7e_ard_3-0-0_107083_2011-12-25_final
2012-01-24 09:32:01	ga_ls7e_ard_3-0-0_093082_2012-01-24_final
2012-02-08 10:27:21	ga_ls7e_ard_3-0-0_102081_2012-02-08_final
2012-07-11 09:24:59	ga_ls7e_ard_3-0-0_092078_2012-07-10_final
2012-12-26 10:15:27	ga_ls7e_ard_3-0-0_100077_2012-12-26_final
2013-06-22 11:41:27	ga_ls7e_ard_3-0-0_114077_2013-06-22_final
2014-04-07 09:11:05	ga_ls7e_ard_3-0-0_089084_2014-04-06_final
2014-04-18 10:30:22	ga_ls7e_ard_3-0-0_102081_2014-04-18_final
2015-03-15 10:12:28	ga_ls7e_ard_3-0-0_099078_2015-03-15_final
2015-06-21 11:41:15	ga_ls7e_ard_3-0-0_113082_2015-06-21_final
2016-05-04 10:13:06	ga_ls7e_ard_3-0-0_099071_2016-05-04_final
2016-06-14 10:06:42	ga_ls7e_ard_3-0-0_098070_2016-06-14_final
2016-07-01 09:14:41	ga_ls7e_ard_3-0-0_089079_2016-06-30_final
2016-12-30 10:16:15	ga_ls7e_ard_3-0-0_099079_2016-12-30_final
2018-01-02 10:15:40	ga_ls7e_ard_3-0-0_099078_2018-01-02_final
2018-03-12 10:30:07	ga_ls7e_ard_3-0-0_102070_2018-03-12_final
2018-04-05 11:20:01	ga_ls7e_ard_3-1-0_110072_2018-04-05_final
2018-06-13 10:03:18	ga_ls7e_ard_3-0-0_097084_2018-06-13_final
2019-02-15 09:57:35	ga_ls7e_ard_3-0-0_098069_2019-02-15_final
2020-03-16 11:02:42	ga_ls7e_ard_3-1-0_111073_2020-03-16_final
2020-07-03 10:26:35	ga_ls7e_ard_3-1-0_106076_2020-07-03_final
2020-08-19 09:37:37	ga_ls7e_ard_3-1-0_099069_2020-08-19_final
2021-01-05 09:15:59	ga_ls7e_ard_3-1-0_096085_2021-01-04_final
2021-01-29 09:57:20	ga_ls7e_ard_3-2-0_104069_2021-01-29_final
2021-02-18 09:34:42	ga_ls7e_ard_3-2-0_100078_2021-02-18_final
2021-03-24 09:16:53	ga_ls7e_ard_3-2-0_098071_2021-03-23_final
2021-03-25 10:00:28	ga_ls7e_ard_3-2-0_105072_2021-03-25_final
2021-07-21 10:54:23	ga_ls7e_ard_3-2-0_115077_2021-07-21_final
2021-11-18 08:19:18	ga_ls7e_ard_3-2-1_091087_2021-11-17_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