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

43 results

Time (local)	Label
1999-07-25 10:06:45	ga_ls7e_ard_3-0-0_099079_1999-07-25_final
1999-10-07 10:42:26	ga_ls7e_ard_3-0-0_105075_1999-10-07_final
1999-11-24 09:08:52	ga_ls7e_ard_3-0-0_089089_1999-11-23_final
2000-02-06 11:19:38	ga_ls7e_ard_3-1-0_111076_2000-02-06_final
2001-09-13 11:10:03	ga_ls7e_ard_3-0-0_110078_2001-09-13_final
2001-11-26 10:08:16	ga_ls7e_ard_3-0-0_100078_2001-11-26_final
2002-01-14 10:53:44	ga_ls7e_ard_3-0-0_107083_2002-01-14_final
2003-03-14 09:59:52	ga_ls7e_ard_3-0-0_099072_2003-03-14_final
2003-03-25 09:46:00	ga_ls7e_ard_3-0-0_096084_2003-03-25_final
2003-07-17 11:08:52	ga_ls7e_ard_3-0-0_110075_2003-07-17_final
2004-02-16 08:56:15	ga_ls7e_ard_3-0-0_088082_2004-02-15_final
2004-04-29 10:28:59	ga_ls7e_ard_3-0-0_103082_2004-04-29_final
2004-06-23 10:34:14	ga_ls7e_ard_3-0-0_104080_2004-06-23_final
2004-10-01 10:05:29	ga_ls7e_ard_3-0-0_100071_2004-10-01_final
2005-01-16 09:46:58	ga_ls7e_ard_3-0-0_097069_2005-01-16_final
2005-08-18 09:17:23	ga_ls7e_ard_3-0-0_091088_2005-08-17_final
2006-02-11 09:54:11	ga_ls7e_ard_3-0-0_098070_2006-02-11_final
2006-04-28 10:18:54	ga_ls7e_ard_3-0-0_102070_2006-04-28_final
2007-02-21 10:03:34	ga_ls7e_ard_3-0-0_099077_2007-02-21_final
2007-06-22 09:59:35	ga_ls7e_ard_3-0-0_098083_2007-06-22_final
2009-01-18 09:54:39	ga_ls7e_ard_3-0-0_098072_2009-01-18_final
2009-02-18 09:14:48	ga_ls7e_ard_3-0-0_091080_2009-02-17_final
2009-10-14 11:02:39	ga_ls7e_ard_3-0-0_109071_2009-10-14_final
2010-04-22 11:22:17	ga_ls7e_ard_3-0-0_111084_2010-04-22_final
2010-06-29 09:21:03	ga_ls7e_ard_3-0-0_091090_2010-06-28_final
2010-12-06 10:52:43	ga_ls7e_ard_3-0-0_107070_2010-12-06_final
2011-02-08 09:21:53	ga_ls7e_ard_3-0-0_091089_2011-02-07_final
2011-11-07 10:58:49	ga_ls7e_ard_3-0-0_107084_2011-11-07_final
2013-01-31 09:48:24	ga_ls7e_ard_3-0-0_096071_2013-01-31_final
2013-12-13 10:13:15	ga_ls7e_ard_3-0-0_100071_2013-12-13_final
2014-06-16 10:10:55	ga_ls7e_ard_3-0-0_099078_2014-06-16_final
2014-10-21 11:09:12	ga_ls7e_ard_3-0-0_108083_2014-10-21_final
2015-04-10 10:45:47	ga_ls7e_ard_3-0-0_105068_2015-04-10_final
2016-09-12 10:43:56	ga_ls7e_ard_3-1-0_104070_2016-09-12_final
2017-05-25 11:38:10	ga_ls7e_ard_3-0-0_113067_2017-05-25_final
2017-10-02 09:54:11	ga_ls7e_ard_3-0-0_095085_2017-10-02_final
2018-05-05 09:58:09	ga_ls7e_ard_3-0-0_096085_2018-05-05_final
2019-10-23 10:24:42	ga_ls7e_ard_3-1-0_104068_2019-10-23_final
2020-01-16 10:39:54	ga_ls7e_ard_3-1-0_107070_2020-01-16_final
2020-02-08 09:08:51	ga_ls7e_ard_3-1-0_092077_2020-02-07_final
2020-10-17 10:58:55	ga_ls7e_ard_3-1-0_112081_2020-10-17_final
2021-05-17 10:13:47	ga_ls7e_ard_3-2-0_108070_2021-05-17_final
2021-07-05 09:14:29	ga_ls7e_ard_3-2-0_099071_2021-07-04_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years