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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

42 results

Time (local)	Label
1999-08-05 09:43:30	ga_ls7e_ard_3-0-0_096067_1999-08-05_final
1999-08-21 09:43:27	ga_ls7e_ard_3-0-0_096067_1999-08-21_final
2000-10-30 10:57:54	ga_ls7e_ard_3-0-0_108074_2000-10-30_final
2001-09-04 09:33:01	ga_ls7e_ard_3-0-0_095067_2001-09-04_final
2001-12-30 09:58:21	ga_ls7e_ard_3-0-0_098084_2001-12-30_final
2002-05-18 09:33:07	ga_ls7e_ard_3-0-0_095067_2002-05-18_final
2002-06-23 10:50:13	ga_ls7e_ard_3-0-0_107075_2002-06-23_final
2002-07-02 10:44:01	ga_ls7e_ard_3-1-0_106075_2002-07-02_final
2003-11-29 09:33:05	ga_ls7e_ard_3-0-0_095067_2003-11-29_final
2004-03-23 10:08:35	ga_ls7e_ard_3-0-0_100077_2004-03-23_final
2004-03-31 10:56:49	ga_ls7e_ard_3-0-0_108074_2004-03-31_final
2004-09-23 10:56:09	ga_ls7e_ard_3-0-0_108074_2004-09-23_final
2004-10-15 10:21:51	ga_ls7e_ard_3-0-0_102081_2004-10-15_final
2005-04-09 10:22:52	ga_ls7e_ard_3-0-0_102081_2005-04-09_final
2005-05-10 09:41:12	ga_ls7e_ard_3-0-0_095085_2005-05-10_final
2005-05-23 10:45:11	ga_ls7e_ard_3-1-0_106075_2005-05-23_final
2005-08-11 10:44:56	ga_ls7e_ard_3-1-0_106075_2005-08-11_final
2006-08-17 11:15:21	ga_ls7e_ard_3-0-0_111073_2006-08-17_final
2006-09-19 10:22:46	ga_ls7e_ard_3-0-0_102081_2006-09-19_final
2007-06-12 09:24:55	ga_ls7e_ard_3-0-0_092089_2007-06-11_final
2007-06-17 09:34:40	ga_ls7e_ard_3-0-0_095067_2007-06-17_final
2007-09-24 10:09:04	ga_ls7e_ard_3-0-0_100077_2007-09-24_final
2008-01-07 10:01:05	ga_ls7e_ard_3-0-0_099071_2008-01-07_final
2008-05-25 09:40:31	ga_ls7e_ard_3-0-0_096067_2008-05-25_final
2008-08-22 09:33:31	ga_ls7e_ard_3-0-0_095067_2008-08-22_final
2008-10-10 10:21:50	ga_ls7e_ard_3-0-0_102081_2008-10-10_final
2009-11-13 11:16:40	ga_ls7e_ard_3-0-0_111074_2009-11-13_final
2011-11-06 10:12:45	ga_ls7e_ard_3-0-0_100077_2011-11-06_final
2012-01-19 10:46:48	ga_ls7e_ard_3-0-0_106068_2012-01-19_final
2013-01-12 10:57:54	ga_ls7e_ard_3-0-0_107075_2013-01-12_final
2015-04-04 09:43:31	ga_ls7e_ard_3-0-0_095067_2015-04-04_final
2016-10-06 09:53:21	ga_ls7e_ard_3-0-0_096067_2016-10-06_final
2016-11-16 11:26:13	ga_ls7e_ard_3-0-0_111068_2016-11-16_final
2017-01-24 11:43:52	ga_ls7e_ard_3-0-0_114067_2017-01-24_final
2017-06-29 10:35:54	ga_ls7e_ard_3-0-0_102081_2017-06-29_final
2018-01-12 10:51:25	ga_ls7e_ard_3-0-0_105075_2018-01-12_final
2019-05-13 10:04:21	ga_ls7e_ard_3-0-0_099078_2019-05-13_final
2019-10-25 10:17:26	ga_ls7e_ard_3-1-0_102081_2019-10-25_final
2020-08-25 09:07:20	ga_ls7e_ard_3-1-0_093087_2020-08-24_final
2021-02-06 09:06:30	ga_ls7e_ard_3-2-0_096067_2021-02-05_final
2022-03-19 07:56:30	ga_ls7e_ard_3-2-1_090075_2022-03-18_final
2022-03-20 10:17:21	ga_ls7e_ard_3-2-1_113072_2022-03-20_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