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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

60 results

Time (local)	Label
1999-12-26 09:04:57	ga_ls7e_ard_3-0-0_089079_1999-12-25_final
2000-01-08 10:12:08	ga_ls7e_ard_3-0-0_100077_2000-01-08_final
2000-02-12 10:40:56	ga_ls7e_ard_3-0-0_105072_2000-02-12_final
2000-03-14 09:56:42	ga_ls7e_ard_3-0-0_098070_2000-03-14_final
2000-03-28 10:11:51	ga_ls7e_ard_3-0-0_100077_2000-03-28_final
2000-11-16 10:01:04	ga_ls7e_ard_3-0-0_099071_2000-11-16_final
2001-02-04 09:59:58	ga_ls7e_ard_3-0-0_099068_2001-02-04_final
2001-03-09 09:12:13	ga_ls7e_ard_3-0-0_090088_2001-03-08_final
2001-04-02 09:53:27	ga_ls7e_ard_3-0-0_098068_2001-04-02_final
2001-09-01 09:09:22	ga_ls7e_ard_3-1-0_090085_2001-08-31_final
2004-01-21 09:58:44	ga_ls7e_ard_3-0-0_098084_2004-01-21_final
2004-01-27 10:56:36	ga_ls7e_ard_3-0-0_108074_2004-01-27_final
2005-11-10 10:25:17	ga_ls7e_ard_3-0-0_103072_2005-11-10_final
2006-07-04 09:18:21	ga_ls7e_ard_3-0-0_091089_2006-07-03_final
2007-02-15 09:06:32	ga_ls7e_ard_3-0-0_089089_2007-02-14_final
2007-03-11 09:51:40	ga_ls7e_ard_3-0-0_097078_2007-03-11_final
2007-04-30 09:34:52	ga_ls7e_ard_3-0-0_095067_2007-04-30_final
2007-06-22 09:57:36	ga_ls7e_ard_3-0-0_098078_2007-06-22_final
2007-08-21 10:23:15	ga_ls7e_ard_3-0-0_102081_2007-08-21_final
2008-03-12 09:07:37	ga_ls7e_ard_3-0-0_090077_2008-03-11_final
2008-09-17 10:14:22	ga_ls7e_ard_3-0-0_101077_2008-09-17_final
2009-09-23 09:10:50	ga_ls7e_ard_3-1-0_090085_2009-09-22_final
2009-11-18 11:37:40	ga_ls7e_ard_3-0-0_114080_2009-11-18_final
2010-04-15 11:11:19	ga_ls7e_ard_3-1-0_110072_2010-04-15_final
2010-05-29 10:02:15	ga_ls7e_ard_3-0-0_098085_2010-05-29_final
2011-10-02 11:18:57	ga_ls7e_ard_3-0-0_111073_2011-10-02_final
2011-12-17 10:03:21	ga_ls7e_ard_3-0-0_099068_2011-12-17_final
2011-12-25 09:21:13	ga_ls7e_ard_3-1-0_091086_2011-12-24_final
2012-02-13 09:07:50	ga_ls7e_ard_3-0-0_089083_2012-02-12_final
2012-02-24 10:24:12	ga_ls7e_ard_3-0-0_102073_2012-02-24_final
2012-06-10 11:47:10	ga_ls7e_ard_3-0-0_115079_2012-06-10_final
2012-06-28 09:52:05	ga_ls7e_ard_3-0-0_097069_2012-06-28_final
2013-08-24 09:23:03	ga_ls7e_ard_3-0-0_091087_2013-08-23_final
2013-10-28 10:00:13	ga_ls7e_ard_3-0-0_098070_2013-10-28_final
2013-11-05 10:49:19	ga_ls7e_ard_3-0-0_106069_2013-11-05_final
2013-12-16 09:08:50	ga_ls7e_ard_3-0-0_089080_2013-12-15_final
2016-03-23 09:41:22	ga_ls7e_ard_3-0-0_093085_2016-03-23_final
2016-05-05 09:24:40	ga_ls7e_ard_3-0-0_090089_2016-05-04_final
2016-12-25 09:54:09	ga_ls7e_ard_3-0-0_096070_2016-12-25_final
2017-01-06 10:20:21	ga_ls7e_ard_3-0-0_100074_2017-01-06_final
2017-03-27 10:21:32	ga_ls7e_ard_3-0-0_100077_2017-03-27_final
2017-09-29 10:56:59	ga_ls7e_ard_3-0-0_106072_2017-09-29_final
2017-10-21 10:21:56	ga_ls7e_ard_3-0-0_100077_2017-10-21_final
2018-07-13 10:09:05	ga_ls7e_ard_3-0-0_099069_2018-07-13_final
2019-04-16 10:19:55	ga_ls7e_ard_3-0-0_102068_2019-04-16_final
2019-08-01 10:00:55	ga_ls7e_ard_3-0-0_099077_2019-08-01_final
2019-08-17 10:00:15	ga_ls7e_ard_3-0-0_099077_2019-08-17_final
2020-01-17 09:43:50	ga_ls7e_ard_3-1-0_098069_2020-01-17_final
2020-02-09 09:52:27	ga_ls7e_ard_3-1-0_099078_2020-02-09_final
2020-02-15 09:13:28	ga_ls7e_ard_3-1-0_093074_2020-02-14_final
2020-04-13 09:48:33	ga_ls7e_ard_3-1-0_099077_2020-04-13_final
2020-09-05 08:49:16	ga_ls7e_ard_3-1-0_090090_2020-09-04_final
2020-11-11 09:13:46	ga_ls7e_ard_3-1-0_095085_2020-11-10_final
2021-05-22 10:36:41	ga_ls7e_ard_3-2-0_111082_2021-05-22_final
2021-06-24 09:33:08	ga_ls7e_ard_3-2-0_102069_2021-06-24_final
2021-07-15 08:14:37	ga_ls7e_ard_3-2-0_089078_2021-07-14_final
2021-08-16 09:48:17	ga_ls7e_ard_3-2-0_105072_2021-08-16_final
2021-11-02 08:16:51	ga_ls7e_ard_3-2-0_091077_2021-11-01_final
2021-11-09 08:22:21	ga_ls7e_ard_3-2-0_092077_2021-11-08_final
2022-01-19 09:57:23	ga_ls7e_ard_3-2-1_109069_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

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