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

58 results

Time (local)	Label
1999-11-16 09:50:27	ga_ls7e_ard_3-0-0_097069_1999-11-16_final
1999-11-23 09:56:56	ga_ls7e_ard_3-0-0_098070_1999-11-23_final
2002-09-15 10:27:16	ga_ls7e_ard_3-0-0_103081_2002-09-15_final
2003-01-02 09:52:29	ga_ls7e_ard_3-0-0_098070_2003-01-02_final
2003-04-17 09:52:42	ga_ls7e_ard_3-0-0_097085_2003-04-17_final
2003-06-01 09:18:33	ga_ls7e_ard_3-0-0_092077_2003-05-31_final
2004-01-28 10:02:11	ga_ls7e_ard_3-1-0_099077_2004-01-28_final
2005-03-07 11:15:23	ga_ls7e_ard_3-0-0_111073_2005-03-07_final
2005-03-30 11:24:43	ga_ls7e_ard_3-0-0_112081_2005-03-30_final
2005-05-03 11:12:41	ga_ls7e_ard_3-0-0_110082_2005-05-03_final
2005-07-19 10:39:13	ga_ls7e_ard_3-0-0_105076_2005-07-19_final
2005-07-27 09:53:22	ga_ls7e_ard_3-0-0_097085_2005-07-27_final
2005-11-30 10:03:30	ga_ls7e_ard_3-0-0_099079_2005-11-30_final
2006-02-12 09:01:46	ga_ls7e_ard_3-0-0_089078_2006-02-11_final
2006-04-16 09:52:57	ga_ls7e_ard_3-0-0_098067_2006-04-16_final
2007-01-11 10:09:07	ga_ls7e_ard_3-0-0_100076_2007-01-11_final
2007-01-31 09:40:55	ga_ls7e_ard_3-0-0_096067_2007-01-31_final
2007-05-06 09:02:09	ga_ls7e_ard_3-0-0_089078_2007-05-05_final
2007-05-06 10:40:14	ga_ls7e_ard_3-0-0_105076_2007-05-06_final
2007-05-28 10:03:47	ga_ls7e_ard_3-0-0_099078_2007-05-28_final
2007-09-19 11:31:50	ga_ls7e_ard_3-0-0_113083_2007-09-19_final
2008-05-01 08:56:24	ga_ls7e_ard_3-0-0_088080_2008-04-30_final
2008-11-22 11:42:03	ga_ls7e_ard_3-0-0_115079_2008-11-22_final
2009-01-05 10:25:29	ga_ls7e_ard_3-0-0_103072_2009-01-05_final
2009-01-10 09:11:33	ga_ls7e_ard_3-0-0_090088_2009-01-09_final
2009-03-08 09:02:13	ga_ls7e_ard_3-0-0_089079_2009-03-07_final
2009-05-11 10:40:14	ga_ls7e_ard_3-0-0_105076_2009-05-11_final
2009-10-21 09:36:03	ga_ls7e_ard_3-0-0_094086_2009-10-21_final
2010-04-18 10:01:44	ga_ls7e_ard_3-0-0_099068_2010-04-18_final
2010-11-14 09:50:16	ga_ls7e_ard_3-0-0_097069_2010-11-14_final
2011-04-02 09:31:51	ga_ls7e_ard_3-1-0_094067_2011-04-02_final
2011-12-03 09:51:19	ga_ls7e_ard_3-0-0_097069_2011-12-03_final
2011-12-18 09:13:20	ga_ls7e_ard_3-0-0_090082_2011-12-17_final
2011-12-24 10:10:50	ga_ls7e_ard_3-0-0_100071_2011-12-24_final
2012-03-14 10:54:40	ga_ls7e_ard_3-0-0_107072_2012-03-14_final
2012-07-15 09:01:55	ga_ls7e_ard_3-0-0_088082_2012-07-14_final
2013-07-25 09:11:25	ga_ls7e_ard_3-0-0_089089_2013-07-24_final
2013-11-20 10:06:30	ga_ls7e_ard_3-0-0_099070_2013-11-20_final
2014-03-18 09:28:56	ga_ls7e_ard_3-0-0_093067_2014-03-17_final
2014-05-05 09:37:15	ga_ls7e_ard_3-1-0_093087_2014-05-05_final
2015-12-09 11:18:11	ga_ls7e_ard_3-0-0_110067_2015-12-09_final
2017-07-17 10:24:45	ga_ls7e_ard_3-0-0_100084_2017-07-17_final
2017-09-04 09:29:05	ga_ls7e_ard_3-0-0_091084_2017-09-03_final
2017-12-22 10:31:09	ga_ls7e_ard_3-0-0_102070_2017-12-22_final
2018-11-03 10:49:35	ga_ls7e_ard_3-0-0_106068_2018-11-03_final
2019-04-08 09:37:57	ga_ls7e_ard_3-0-0_094086_2019-04-08_final
2020-01-08 09:53:15	ga_ls7e_ard_3-1-0_099076_2020-01-08_final
2020-01-08 09:54:03	ga_ls7e_ard_3-1-0_099078_2020-01-08_final
2020-03-27 09:07:52	ga_ls7e_ard_3-1-0_092081_2020-03-26_final
2020-04-06 11:21:16	ga_ls7e_ard_3-1-0_114076_2020-04-06_final
2020-05-09 08:46:48	ga_ls7e_ard_3-1-0_089081_2020-05-08_final
2020-05-20 10:06:52	ga_ls7e_ard_3-1-0_102082_2020-05-20_final
2021-03-30 08:46:06	ga_ls7e_ard_3-2-0_092088_2021-03-29_final
2021-05-12 09:58:04	ga_ls7e_ard_3-2-0_105076_2021-05-12_final
2021-06-23 08:49:10	ga_ls7e_ard_3-2-0_095067_2021-06-22_final
2021-10-02 09:05:41	ga_ls7e_ard_3-2-0_098084_2021-10-01_final
2021-11-15 09:22:23	ga_ls7e_ard_3-2-1_102074_2021-11-14_final
2022-01-14 08:03:38	ga_ls7e_ard_3-2-1_090077_2022-01-13_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