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

50 results

Time (local)	Label
1999-08-05 11:25:11	ga_ls7e_ard_3-0-0_112074_1999-08-05_final
1999-09-06 11:25:11	ga_ls7e_ard_3-0-0_112074_1999-09-06_final
2001-03-15 10:09:35	ga_ls7e_ard_3-0-0_100077_2001-03-15_final
2001-05-08 11:09:55	ga_ls7e_ard_3-0-0_110074_2001-05-08_final
2002-05-31 09:10:54	ga_ls7e_ard_3-0-0_090089_2002-05-30_final
2002-12-10 09:45:48	ga_ls7e_ard_3-0-0_097069_2002-12-10_final
2003-10-15 10:07:28	ga_ls7e_ard_3-0-0_100077_2003-10-15_final
2003-12-03 10:48:26	ga_ls7e_ard_3-0-0_107070_2003-12-03_final
2004-03-10 10:38:37	ga_ls7e_ard_3-0-0_105075_2004-03-10_final
2004-04-02 10:44:27	ga_ls7e_ard_3-0-0_106074_2004-04-02_final
2004-05-19 10:02:42	ga_ls7e_ard_3-0-0_099078_2004-05-19_final
2004-09-01 09:52:53	ga_ls7e_ard_3-0-0_098070_2004-09-01_final
2004-10-23 11:08:39	ga_ls7e_ard_3-0-0_110074_2004-10-23_final
2005-01-29 10:56:58	ga_ls7e_ard_3-0-0_108074_2005-01-29_final
2005-11-30 09:59:07	ga_ls7e_ard_3-0-0_099068_2005-11-30_final
2006-02-25 10:09:23	ga_ls7e_ard_3-0-0_100077_2006-02-25_final
2006-02-28 09:06:12	ga_ls7e_ard_3-0-0_089089_2006-02-27_final
2006-05-07 10:13:09	ga_ls7e_ard_3-0-0_101071_2006-05-07_final
2007-01-27 10:09:36	ga_ls7e_ard_3-0-0_100077_2007-01-27_final
2007-05-18 09:29:11	ga_ls7e_ard_3-0-0_093084_2007-05-17_final
2007-08-07 10:09:23	ga_ls7e_ard_3-0-0_100077_2007-08-07_final
2007-12-29 10:09:39	ga_ls7e_ard_3-0-0_100077_2007-12-29_final
2008-06-23 09:17:44	ga_ls7e_ard_3-0-0_091088_2008-06-22_final
2008-07-11 10:39:15	ga_ls7e_ard_3-0-0_105076_2008-07-11_final
2008-10-28 10:10:11	ga_ls7e_ard_3-0-0_100082_2008-10-28_final
2008-11-11 10:22:21	ga_ls7e_ard_3-0-0_102081_2008-11-11_final
2009-03-14 10:05:39	ga_ls7e_ard_3-0-0_099083_2009-03-14_final
2009-04-30 09:24:39	ga_ls7e_ard_3-0-0_092088_2009-04-29_final
2009-07-01 09:36:35	ga_ls7e_ard_3-0-0_094087_2009-07-01_final
2009-07-25 10:19:08	ga_ls7e_ard_3-0-0_102070_2009-07-25_final
2009-09-23 09:10:50	ga_ls7e_ard_3-1-0_090085_2009-09-22_final
2009-09-27 10:18:36	ga_ls7e_ard_3-0-0_102069_2009-09-27_final
2011-01-23 09:20:37	ga_ls7e_ard_3-1-0_091086_2011-01-22_final
2011-02-01 10:46:11	ga_ls7e_ard_3-0-0_106068_2011-02-01_final
2012-07-18 11:09:20	ga_ls7e_ard_3-0-0_109076_2012-07-18_final
2012-11-14 09:36:33	ga_ls7e_ard_3-0-0_094073_2012-11-14_final
2013-08-28 10:34:51	ga_ls7e_ard_3-0-0_103081_2013-08-28_final
2014-11-06 09:32:52	ga_ls7e_ard_3-0-0_092089_2014-11-06_final
2017-05-25 11:38:10	ga_ls7e_ard_3-0-0_113067_2017-05-25_final
2017-11-04 10:35:53	ga_ls7e_ard_3-0-0_102081_2017-11-04_final
2018-08-26 10:37:47	ga_ls7e_ard_3-0-0_103081_2018-08-26_final
2019-08-19 09:44:37	ga_ls7e_ard_3-0-0_097069_2019-08-19_final
2019-10-12 09:12:01	ga_ls7e_ard_3-1-0_091086_2019-10-11_final
2020-03-29 10:31:53	ga_ls7e_ard_3-1-0_106075_2020-03-29_final
2020-05-30 09:06:27	ga_ls7e_ard_3-1-0_092087_2020-05-29_final
2020-06-17 10:27:32	ga_ls7e_ard_3-1-0_106076_2020-06-17_final
2020-10-11 09:57:54	ga_ls7e_ard_3-1-0_102082_2020-10-11_final
2021-02-02 09:35:30	ga_ls7e_ard_3-2-0_100077_2021-02-02_final
2021-05-04 09:10:05	ga_ls7e_ard_3-2-0_097078_2021-05-03_final
2022-03-17 09:47:56	ga_ls7e_ard_3-2-1_108075_2022-03-17_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