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

50 results

Time (local)	Label
2000-05-05 09:33:15	ga_ls7e_ard_3-0-0_094074_2000-05-05_final
2002-03-29 09:46:22	ga_ls7e_ard_3-0-0_097069_2002-03-29_final
2002-05-14 09:59:27	ga_ls7e_ard_3-0-0_099071_2002-05-14_final
2002-10-20 09:17:14	ga_ls7e_ard_3-0-0_092076_2002-10-19_final
2002-11-24 09:49:19	ga_ls7e_ard_3-0-0_097078_2002-11-24_final
2005-01-02 09:38:57	ga_ls7e_ard_3-0-0_095080_2005-01-02_final
2006-04-10 10:36:03	ga_ls7e_ard_3-0-0_104082_2006-04-10_final
2006-04-18 11:26:15	ga_ls7e_ard_3-0-0_112084_2006-04-18_final
2007-01-04 10:00:09	ga_ls7e_ard_3-0-0_099069_2007-01-04_final
2007-04-26 11:42:53	ga_ls7e_ard_3-0-0_115078_2007-04-26_final
2007-05-05 09:59:46	ga_ls7e_ard_3-0-0_098083_2007-05-05_final
2007-10-21 09:48:37	ga_ls7e_ard_3-0-0_097072_2007-10-21_final
2008-03-11 10:03:15	ga_ls7e_ard_3-0-0_099077_2008-03-11_final
2009-03-11 09:34:44	ga_ls7e_ard_3-1-0_094083_2009-03-11_final
2009-08-07 09:51:21	ga_ls7e_ard_3-0-0_097078_2009-08-07_final
2009-08-19 10:18:03	ga_ls7e_ard_3-0-0_101083_2009-08-19_final
2009-09-07 10:43:45	ga_ls7e_ard_3-0-0_106070_2009-09-07_final
2010-06-27 11:04:42	ga_ls7e_ard_3-0-0_109071_2010-06-27_final
2010-07-02 11:24:28	ga_ls7e_ard_3-0-0_112074_2010-07-02_final
2010-09-23 10:20:09	ga_ls7e_ard_3-0-0_101083_2010-09-23_final
2010-10-28 10:45:17	ga_ls7e_ard_3-0-0_106068_2010-10-28_final
2010-12-07 09:57:30	ga_ls7e_ard_3-0-0_098071_2010-12-07_final
2011-08-24 11:12:30	ga_ls7e_ard_3-1-0_110072_2011-08-24_final
2012-01-18 10:04:21	ga_ls7e_ard_3-0-0_099070_2012-01-18_final
2012-02-28 10:03:52	ga_ls7e_ard_3-0-0_098084_2012-02-28_final
2012-04-09 09:55:13	ga_ls7e_ard_3-0-0_097078_2012-04-09_final
2012-05-05 10:33:59	ga_ls7e_ard_3-0-0_103081_2012-05-05_final
2012-11-15 10:21:01	ga_ls7e_ard_3-0-0_101076_2012-11-15_final
2013-07-25 10:44:43	ga_ls7e_ard_3-0-0_105075_2013-07-25_final
2013-12-05 09:27:00	ga_ls7e_ard_3-0-0_092079_2013-12-04_final
2015-02-24 09:37:03	ga_ls7e_ard_3-1-0_094067_2015-02-24_final
2015-06-23 11:29:41	ga_ls7e_ard_3-0-0_111084_2015-06-23_final
2016-01-06 10:05:38	ga_ls7e_ard_3-0-0_098070_2016-01-06_final
2016-01-17 09:54:03	ga_ls7e_ard_3-0-0_095087_2016-01-17_final
2017-02-27 09:59:50	ga_ls7e_ard_3-0-0_096085_2017-02-27_final
2017-03-30 10:49:15	ga_ls7e_ard_3-0-0_105069_2017-03-30_final
2017-05-01 10:54:38	ga_ls7e_ard_3-0-0_105082_2017-05-01_final
2018-07-21 09:26:42	ga_ls7e_ard_3-0-0_091087_2018-07-20_final
2018-11-16 10:19:58	ga_ls7e_ard_3-0-0_101072_2018-11-16_final
2019-01-12 10:14:35	ga_ls7e_ard_3-0-0_100078_2019-01-12_final
2019-03-07 11:13:07	ga_ls7e_ard_3-1-0_110074_2019-03-07_final
2019-08-16 10:54:43	ga_ls7e_ard_3-0-0_108074_2019-08-16_final
2019-10-09 10:15:44	ga_ls7e_ard_3-1-0_102075_2019-10-09_final
2020-01-25 10:33:17	ga_ls7e_ard_3-1-0_106070_2020-01-25_final
2020-03-02 10:51:30	ga_ls7e_ard_3-1-0_109074_2020-03-02_final
2020-04-16 10:21:17	ga_ls7e_ard_3-1-0_104082_2020-04-16_final
2020-10-25 10:09:21	ga_ls7e_ard_3-1-0_104082_2020-10-25_final
2021-01-30 09:02:50	ga_ls7e_ard_3-2-0_095072_2021-01-29_final
2021-11-24 09:16:06	ga_ls7e_ard_3-2-1_101076_2021-11-23_final
2022-02-09 08:41:44	ga_ls7e_ard_3-2-1_096086_2022-02-08_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