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

54 results

Time (local)	Label
2000-06-16 10:08:46	ga_ls7e_ard_3-0-0_100071_2000-06-16_final
2000-06-23 10:19:15	ga_ls7e_ard_3-0-0_101082_2000-06-23_final
2000-08-26 10:18:50	ga_ls7e_ard_3-0-0_101083_2000-08-26_final
2000-10-23 09:16:43	ga_ls7e_ard_3-0-0_091084_2000-10-22_final
2001-02-19 10:57:57	ga_ls7e_ard_3-0-0_108074_2001-02-19_final
2001-05-19 09:13:08	ga_ls7e_ard_3-0-0_091076_2001-05-18_final
2001-09-09 11:35:12	ga_ls7e_ard_3-0-0_114079_2001-09-09_final
2003-01-13 09:40:48	ga_ls7e_ard_3-0-0_095087_2003-01-13_final
2004-02-28 10:56:40	ga_ls7e_ard_3-0-0_108074_2004-02-28_final
2004-11-23 10:24:52	ga_ls7e_ard_3-0-0_103072_2004-11-23_final
2004-12-03 09:24:22	ga_ls7e_ard_3-0-0_093075_2004-12-02_final
2005-05-16 10:39:25	ga_ls7e_ard_3-0-0_105076_2005-05-16_final
2005-06-23 09:59:45	ga_ls7e_ard_3-0-0_099070_2005-06-23_final
2005-12-01 10:43:10	ga_ls7e_ard_3-0-0_106070_2005-12-01_final
2006-06-11 09:12:18	ga_ls7e_ard_3-0-0_090089_2006-06-10_final
2006-06-14 11:15:41	ga_ls7e_ard_3-0-0_111073_2006-06-14_final
2006-11-01 10:00:28	ga_ls7e_ard_3-0-0_099071_2006-11-01_final
2007-03-10 10:43:42	ga_ls7e_ard_3-0-0_106069_2007-03-10_final
2007-06-25 10:29:41	ga_ls7e_ard_3-0-0_103081_2007-06-25_final
2008-02-14 09:26:43	ga_ls7e_ard_3-0-0_093078_2008-02-13_final
2008-03-17 09:25:23	ga_ls7e_ard_3-0-0_093075_2008-03-16_final
2008-03-31 11:15:50	ga_ls7e_ard_3-0-0_111073_2008-03-31_final
2008-06-09 09:01:55	ga_ls7e_ard_3-0-0_089079_2008-06-08_final
2009-05-27 09:02:10	ga_ls7e_ard_3-0-0_089078_2009-05-26_final
2009-06-28 09:06:30	ga_ls7e_ard_3-0-0_089089_2009-06-27_final
2009-07-21 09:12:59	ga_ls7e_ard_3-0-0_090090_2009-07-20_final
2009-11-04 09:42:15	ga_ls7e_ard_3-0-0_096070_2009-11-04_final
2010-04-02 10:02:08	ga_ls7e_ard_3-0-0_099069_2010-04-02_final
2010-04-11 09:59:57	ga_ls7e_ard_3-0-0_098079_2010-04-11_final
2010-09-17 10:55:39	ga_ls7e_ard_3-0-0_107079_2010-09-17_final
2011-06-17 09:57:43	ga_ls7e_ard_3-0-0_098070_2011-06-17_final
2012-01-05 09:01:09	ga_ls7e_ard_3-0-0_088082_2012-01-04_final
2012-06-28 09:52:05	ga_ls7e_ard_3-0-0_097069_2012-06-28_final
2013-02-25 09:42:33	ga_ls7e_ard_3-0-0_095072_2013-02-25_final
2013-08-16 10:04:49	ga_ls7e_ard_3-0-0_099068_2013-08-16_final
2013-12-31 10:06:10	ga_ls7e_ard_3-0-0_098084_2013-12-31_final
2015-07-26 10:27:49	ga_ls7e_ard_3-0-0_102068_2015-07-26_final
2016-03-02 09:23:03	ga_ls7e_ard_3-0-0_090086_2016-03-01_final
2016-06-16 11:38:01	ga_ls7e_ard_3-0-0_112082_2016-06-16_final
2016-12-16 11:40:53	ga_ls7e_ard_3-0-0_113074_2016-12-16_final
2017-03-04 11:53:18	ga_ls7e_ard_3-0-0_115075_2017-03-04_final
2017-09-19 10:23:28	ga_ls7e_ard_3-0-0_100081_2017-09-19_final
2018-04-19 09:51:16	ga_ls7e_ard_3-0-0_096067_2018-04-19_final
2018-08-14 11:50:36	ga_ls7e_ard_3-1-0_115077_2018-08-14_final
2019-05-26 11:10:38	ga_ls7e_ard_3-0-0_110075_2019-05-26_final
2020-08-18 09:01:12	ga_ls7e_ard_3-1-0_092086_2020-08-17_final
2020-08-21 11:03:13	ga_ls7e_ard_3-1-0_113067_2020-08-21_final
2020-11-22 10:31:21	ga_ls7e_ard_3-1-0_108080_2020-11-22_final
2020-12-07 09:43:24	ga_ls7e_ard_3-1-0_101071_2020-12-07_final
2021-01-04 10:05:17	ga_ls7e_ard_3-1-0_105069_2021-01-04_final
2021-06-13 09:52:35	ga_ls7e_ard_3-2-0_105069_2021-06-13_final
2021-09-16 10:42:00	ga_ls7e_ard_3-2-0_114074_2021-09-16_final
2021-10-09 09:05:16	ga_ls7e_ard_3-2-0_099069_2021-10-08_final
2021-12-14 08:50:19	ga_ls7e_ard_3-2-1_097078_2021-12-13_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