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

48 results

Time (local)	Label
1999-08-15 10:22:08	ga_ls7e_ard_3-0-0_102071_1999-08-15_final
1999-11-06 10:55:27	ga_ls7e_ard_3-0-0_107077_1999-11-06_final
2001-11-05 09:49:56	ga_ls7e_ard_3-0-0_097079_2001-11-05_final
2002-01-27 10:19:18	ga_ls7e_ard_3-0-0_102074_2002-01-27_final
2003-03-22 10:48:26	ga_ls7e_ard_3-0-0_107070_2003-03-22_final
2003-04-02 10:31:57	ga_ls7e_ard_3-0-0_104075_2003-04-02_final
2003-08-11 09:23:38	ga_ls7e_ard_3-0-0_093075_2003-08-10_final
2004-07-16 10:35:35	ga_ls7e_ard_3-0-0_105068_2004-07-16_final
2005-01-08 09:03:54	ga_ls7e_ard_3-0-0_089085_2005-01-07_final
2005-01-14 10:02:31	ga_ls7e_ard_3-0-0_099077_2005-01-14_final
2005-07-22 11:12:31	ga_ls7e_ard_3-0-0_110082_2005-07-22_final
2007-08-04 09:36:54	ga_ls7e_ard_3-1-0_095073_2007-08-04_final
2008-09-12 09:56:40	ga_ls7e_ard_3-0-0_098079_2008-09-12_final
2009-02-26 11:42:49	ga_ls7e_ard_3-0-0_115079_2009-02-26_final
2009-07-04 10:05:53	ga_ls7e_ard_3-0-0_099083_2009-07-04_final
2010-04-24 09:30:14	ga_ls7e_ard_3-0-0_093082_2010-04-24_final
2010-05-21 09:13:12	ga_ls7e_ard_3-0-0_090086_2010-05-20_final
2010-09-10 10:50:40	ga_ls7e_ard_3-0-0_106082_2010-09-10_final
2010-11-14 11:33:33	ga_ls7e_ard_3-0-0_113080_2010-11-14_final
2011-05-22 11:00:43	ga_ls7e_ard_3-0-0_108073_2011-05-22_final
2011-12-21 09:40:18	ga_ls7e_ard_3-0-0_095072_2011-12-21_final
2012-03-07 09:11:35	ga_ls7e_ard_3-0-0_090077_2012-03-06_final
2012-06-18 09:22:30	ga_ls7e_ard_3-0-0_091088_2012-06-17_final
2014-05-18 10:39:46	ga_ls7e_ard_3-0-0_104073_2014-05-18_final
2014-08-21 11:38:52	ga_ls7e_ard_3-0-0_113081_2014-08-21_final
2014-12-07 10:26:16	ga_ls7e_ard_3-0-0_101083_2014-12-07_final
2014-12-12 10:44:27	ga_ls7e_ard_3-0-0_104082_2014-12-12_final
2015-12-21 10:11:23	ga_ls7e_ard_3-0-0_098085_2015-12-21_final
2016-01-28 09:33:37	ga_ls7e_ard_3-0-0_092082_2016-01-28_final
2016-06-27 11:17:05	ga_ls7e_ard_3-0-0_109076_2016-06-27_final
2016-11-24 10:40:46	ga_ls7e_ard_3-0-0_103078_2016-11-24_final
2017-05-24 10:55:18	ga_ls7e_ard_3-0-0_106068_2017-05-24_final
2017-09-18 11:17:29	ga_ls7e_ard_3-0-0_109077_2017-09-18_final
2018-06-29 10:03:23	ga_ls7e_ard_3-0-0_097085_2018-06-29_final
2018-10-18 09:18:13	ga_ls7e_ard_3-0-0_090086_2018-10-17_final
2019-01-05 11:47:54	ga_ls7e_ard_3-0-0_115079_2019-01-05_final
2019-05-03 11:04:56	ga_ls7e_ard_3-0-0_109074_2019-05-03_final
2019-08-01 09:58:31	ga_ls7e_ard_3-0-0_099071_2019-08-01_final
2019-08-01 10:01:19	ga_ls7e_ard_3-0-0_099078_2019-08-01_final
2019-08-03 11:29:45	ga_ls7e_ard_3-0-0_113083_2019-08-03_final
2020-03-25 10:56:25	ga_ls7e_ard_3-1-0_110074_2020-03-25_final
2020-03-29 10:35:04	ga_ls7e_ard_3-1-0_106083_2020-03-29_final
2020-11-02 10:57:27	ga_ls7e_ard_3-1-0_112080_2020-11-02_final
2020-12-31 10:35:52	ga_ls7e_ard_3-1-0_109083_2020-12-31_final
2021-07-22 09:57:53	ga_ls7e_ard_3-2-0_106075_2021-07-22_final
2021-08-03 10:21:09	ga_ls7e_ard_3-2-0_110074_2021-08-03_final
2021-10-04 08:53:09	ga_ls7e_ard_3-2-0_096084_2021-10-03_final
2022-04-04 09:36:15	ga_ls7e_ard_3-2-1_106081_2022-04-04_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