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

59 results

Time (local)	Label
1999-11-30 11:45:11	ga_ls7e_ard_3-0-0_115078_1999-11-30_final
2000-03-05 10:01:44	ga_ls7e_ard_3-0-0_099067_2000-03-05_final
2000-12-14 10:24:39	ga_ls7e_ard_3-0-0_103068_2000-12-14_final
2001-04-22 09:30:43	ga_ls7e_ard_3-0-0_094073_2001-04-22_final
2002-10-06 09:05:12	ga_ls7e_ard_3-0-0_090077_2002-10-05_final
2003-07-30 10:38:16	ga_ls7e_ard_3-0-0_105076_2003-07-30_final
2003-10-18 10:38:02	ga_ls7e_ard_3-0-0_105076_2003-10-18_final
2004-06-14 10:36:02	ga_ls7e_ard_3-0-0_105069_2004-06-14_final
2004-09-04 10:28:09	ga_ls7e_ard_3-0-0_103081_2004-09-04_final
2004-11-21 09:00:43	ga_ls7e_ard_3-0-0_089078_2004-11-20_final
2005-05-21 10:57:33	ga_ls7e_ard_3-1-0_108075_2005-05-21_final
2005-12-16 11:40:50	ga_ls7e_ard_3-0-0_115075_2005-12-16_final
2006-03-09 08:57:14	ga_ls7e_ard_3-0-0_088082_2006-03-08_final
2006-07-12 10:03:44	ga_ls7e_ard_3-0-0_099079_2006-07-12_final
2007-01-05 10:43:24	ga_ls7e_ard_3-0-0_106069_2007-01-05_final
2007-04-30 11:19:20	ga_ls7e_ard_3-0-0_111081_2007-04-30_final
2007-12-10 09:36:41	ga_ls7e_ard_3-0-0_095072_2007-12-10_final
2008-03-04 09:57:31	ga_ls7e_ard_3-0-0_098078_2008-03-04_final
2008-10-24 08:55:57	ga_ls7e_ard_3-0-0_088082_2008-10-23_final
2009-02-10 11:42:15	ga_ls7e_ard_3-0-0_115078_2009-02-10_final
2009-12-07 10:30:17	ga_ls7e_ard_3-0-0_103081_2009-12-07_final
2010-01-29 10:44:30	ga_ls7e_ard_3-0-0_106068_2010-01-29_final
2010-04-14 10:31:39	ga_ls7e_ard_3-0-0_103081_2010-04-14_final
2010-07-24 09:10:07	ga_ls7e_ard_3-0-0_090078_2010-07-23_final
2010-11-01 10:21:00	ga_ls7e_ard_3-0-0_102069_2010-11-01_final
2010-11-07 11:24:52	ga_ls7e_ard_3-0-0_112074_2010-11-07_final
2011-01-08 09:57:47	ga_ls7e_ard_3-0-0_098071_2011-01-08_final
2011-05-23 10:09:05	ga_ls7e_ard_3-0-0_099083_2011-05-23_final
2011-07-19 10:00:51	ga_ls7e_ard_3-0-0_098078_2011-07-19_final
2012-01-15 11:12:20	ga_ls7e_ard_3-0-0_110070_2012-01-15_final
2012-01-17 11:01:58	ga_ls7e_ard_3-1-0_108075_2012-01-17_final
2012-02-09 09:26:09	ga_ls7e_ard_3-0-0_093067_2012-02-08_final
2012-08-03 09:35:24	ga_ls7e_ard_3-0-0_093088_2012-08-03_final
2012-08-20 10:14:53	ga_ls7e_ard_3-0-0_100078_2012-08-20_final
2012-08-30 10:48:04	ga_ls7e_ard_3-0-0_106068_2012-08-30_final
2013-04-08 10:23:31	ga_ls7e_ard_3-0-0_101082_2013-04-08_final
2014-05-22 10:18:39	ga_ls7e_ard_3-0-0_100082_2014-05-22_final
2014-06-23 10:17:08	ga_ls7e_ard_3-0-0_100078_2014-06-23_final
2015-03-20 10:32:16	ga_ls7e_ard_3-0-0_102081_2015-03-20_final
2016-08-04 10:42:03	ga_ls7e_ard_3-0-0_103081_2016-08-04_final
2016-10-28 09:22:59	ga_ls7e_ard_3-0-0_090084_2016-10-27_final
2016-11-16 11:32:13	ga_ls7e_ard_3-0-0_111083_2016-11-16_final
2017-01-11 10:36:26	ga_ls7e_ard_3-0-0_103068_2017-01-11_final
2019-01-05 10:08:38	ga_ls7e_ard_3-0-0_099078_2019-01-05_final
2019-04-03 10:56:28	ga_ls7e_ard_3-0-0_107081_2019-04-03_final
2019-07-15 09:20:44	ga_ls7e_ard_3-0-0_092083_2019-07-14_final
2019-07-26 10:37:03	ga_ls7e_ard_3-0-0_105074_2019-07-26_final
2019-08-17 10:00:15	ga_ls7e_ard_3-0-0_099077_2019-08-17_final
2020-01-09 10:35:40	ga_ls7e_ard_3-1-0_106074_2020-01-09_final
2020-05-04 10:02:40	ga_ls7e_ard_3-1-0_102069_2020-05-04_final
2020-10-11 09:57:30	ga_ls7e_ard_3-1-0_102081_2020-10-11_final
2020-12-08 08:54:30	ga_ls7e_ard_3-1-0_092088_2020-12-07_final
2021-02-11 09:25:28	ga_ls7e_ard_3-2-0_099069_2021-02-10_final
2021-02-11 09:28:39	ga_ls7e_ard_3-2-0_099077_2021-02-10_final
2021-02-14 09:55:44	ga_ls7e_ard_3-2-0_104068_2021-02-14_final
2021-04-05 09:39:26	ga_ls7e_ard_3-2-0_102068_2021-04-05_final
2021-12-29 08:05:35	ga_ls7e_ard_3-2-1_090078_2021-12-28_final
2022-01-14 09:40:54	ga_ls7e_ard_3-2-1_106073_2022-01-14_final
2022-02-23 08:51:54	ga_ls7e_ard_3-2-1_098084_2022-02-22_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

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