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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

64 results

Time (local)	Label
2000-04-17 09:49:39	ga_ls7e_ard_3-0-0_096084_2000-04-17_final
2000-05-29 10:25:12	ga_ls7e_ard_3-0-0_102081_2000-05-29_final
2000-08-09 09:36:04	ga_ls7e_ard_3-1-0_094084_2000-08-09_final
2000-09-18 10:23:46	ga_ls7e_ard_3-0-0_102081_2000-09-18_final
2001-01-03 10:04:42	ga_ls7e_ard_3-0-0_099080_2001-01-03_final
2003-01-03 09:00:27	ga_ls7e_ard_3-0-0_089079_2003-01-02_final
2003-08-25 11:14:28	ga_ls7e_ard_3-0-0_111074_2003-08-25_final
2003-10-13 10:21:22	ga_ls7e_ard_3-0-0_102081_2003-10-13_final
2003-10-29 10:21:40	ga_ls7e_ard_3-0-0_102081_2003-10-29_final
2004-01-28 10:02:11	ga_ls7e_ard_3-1-0_099077_2004-01-28_final
2004-07-01 09:46:23	ga_ls7e_ard_3-0-0_096084_2004-07-01_final
2004-10-21 09:46:29	ga_ls7e_ard_3-0-0_096085_2004-10-21_final
2004-12-13 09:59:54	ga_ls7e_ard_3-0-0_099071_2004-12-13_final
2005-01-18 11:14:41	ga_ls7e_ard_3-0-0_111072_2005-01-18_final
2005-04-11 10:06:30	ga_ls7e_ard_3-0-0_100071_2005-04-11_final
2006-06-01 10:07:21	ga_ls7e_ard_3-0-0_100072_2006-06-01_final
2006-07-01 10:23:10	ga_ls7e_ard_3-0-0_102081_2006-07-01_final
2007-01-03 09:19:40	ga_ls7e_ard_3-0-0_092076_2007-01-02_final
2007-02-07 11:26:02	ga_ls7e_ard_3-0-0_113067_2007-02-07_final
2007-03-27 09:48:06	ga_ls7e_ard_3-0-0_097069_2007-03-27_final
2008-01-30 10:07:38	ga_ls7e_ard_3-0-0_100072_2008-01-30_final
2008-02-16 10:51:14	ga_ls7e_ard_3-0-0_107073_2008-02-16_final
2008-03-22 09:45:07	ga_ls7e_ard_3-0-0_096078_2008-03-22_final
2009-02-04 10:36:24	ga_ls7e_ard_3-0-0_105068_2009-02-04_final
2009-05-03 09:49:10	ga_ls7e_ard_3-0-0_097072_2009-05-03_final
2009-06-02 10:03:34	ga_ls7e_ard_3-0-0_099077_2009-06-02_final
2010-07-13 09:27:03	ga_ls7e_ard_3-0-0_093074_2010-07-12_final
2010-10-07 10:31:43	ga_ls7e_ard_3-0-0_103081_2010-10-07_final
2011-03-22 09:54:43	ga_ls7e_ard_3-0-0_097078_2011-03-22_final
2011-07-26 11:44:42	ga_ls7e_ard_3-0-0_115075_2011-07-26_final
2012-03-22 11:45:20	ga_ls7e_ard_3-0-0_115075_2012-03-22_final
2012-09-14 11:47:50	ga_ls7e_ard_3-0-0_115078_2012-09-14_final
2012-10-07 10:14:56	ga_ls7e_ard_3-0-0_100077_2012-10-07_final
2012-11-14 11:19:50	ga_ls7e_ard_3-0-0_110084_2012-11-14_final
2012-11-17 10:09:05	ga_ls7e_ard_3-0-0_099077_2012-11-17_final
2012-11-29 10:30:14	ga_ls7e_ard_3-0-0_103068_2012-11-29_final
2013-07-19 11:25:02	ga_ls7e_ard_3-0-0_111083_2013-07-19_final
2013-10-19 10:06:22	ga_ls7e_ard_3-0-0_099070_2013-10-19_final
2014-05-22 10:17:03	ga_ls7e_ard_3-0-0_100078_2014-05-22_final
2014-08-03 10:07:34	ga_ls7e_ard_3-0-0_099069_2014-08-03_final
2015-07-03 10:27:32	ga_ls7e_ard_3-0-0_101083_2015-07-03_final
2015-11-25 09:34:42	ga_ls7e_ard_3-0-0_092087_2015-11-25_final
2016-03-03 09:59:57	ga_ls7e_ard_3-0-0_097070_2016-03-03_final
2017-04-02 11:21:21	ga_ls7e_ard_3-1-0_110072_2017-04-02_final
2018-02-05 10:00:23	ga_ls7e_ard_3-0-0_097072_2018-02-05_final
2018-04-08 10:14:23	ga_ls7e_ard_3-0-0_099078_2018-04-08_final
2018-06-01 11:14:05	ga_ls7e_ard_3-0-0_109075_2018-06-01_final
2018-07-29 11:51:17	ga_ls7e_ard_3-0-0_115078_2018-07-29_final
2019-03-12 09:51:01	ga_ls7e_ard_3-1-0_097070_2019-03-12_final
2019-06-21 10:09:06	ga_ls7e_ard_3-0-0_100078_2019-06-21_final
2019-07-04 11:18:11	ga_ls7e_ard_3-1-0_111082_2019-07-04_final
2019-09-02 11:38:51	ga_ls7e_ard_3-1-0_115078_2019-09-02_final
2019-12-31 10:41:07	ga_ls7e_ard_3-1-0_107071_2019-12-31_final
2020-03-29 10:35:04	ga_ls7e_ard_3-1-0_106083_2020-03-29_final
2020-04-13 09:49:21	ga_ls7e_ard_3-1-0_099079_2020-04-13_final
2020-08-16 09:12:54	ga_ls7e_ard_3-1-0_094084_2020-08-15_final
2020-10-25 10:09:21	ga_ls7e_ard_3-1-0_104082_2020-10-25_final
2020-12-09 09:34:29	ga_ls7e_ard_3-1-0_099080_2020-12-09_final
2021-09-24 09:52:15	ga_ls7e_ard_3-2-0_106075_2021-09-24_final
2021-11-30 08:37:17	ga_ls7e_ard_3-2-1_095073_2021-11-29_final
2021-12-09 10:10:20	ga_ls7e_ard_3-2-1_110076_2021-12-09_final
2022-01-08 08:44:03	ga_ls7e_ard_3-2-1_096084_2022-01-07_final
2022-01-21 08:08:44	ga_ls7e_ard_3-2-1_091076_2022-01-20_final
2022-03-04 08:40:04	ga_ls7e_ard_3-2-1_097072_2022-03-03_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