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

68 results

Time (local)	Label
2001-02-05 10:46:24	ga_ls7e_ard_3-0-0_106076_2001-02-05_final
2001-10-02 10:03:49	ga_ls7e_ard_3-0-0_099083_2001-10-02_final
2002-05-15 10:44:42	ga_ls7e_ard_3-1-0_106076_2002-05-15_final
2002-07-18 10:43:55	ga_ls7e_ard_3-1-0_106075_2002-07-18_final
2003-01-18 09:53:48	ga_ls7e_ard_3-0-0_098073_2003-01-18_final
2003-03-31 10:44:41	ga_ls7e_ard_3-0-0_106076_2003-03-31_final
2003-05-16 09:22:09	ga_ls7e_ard_3-0-0_092086_2003-05-15_final
2003-05-18 09:10:35	ga_ls7e_ard_3-0-0_090088_2003-05-17_final
2003-05-26 09:56:02	ga_ls7e_ard_3-0-0_098078_2003-05-26_final
2003-10-25 10:44:21	ga_ls7e_ard_3-0-0_106076_2003-10-25_final
2004-07-07 10:44:59	ga_ls7e_ard_3-0-0_106076_2004-07-07_final
2004-07-17 11:21:14	ga_ls7e_ard_3-0-0_112074_2004-07-17_final
2004-11-03 10:53:50	ga_ls7e_ard_3-0-0_107083_2004-11-03_final
2004-12-26 11:13:12	ga_ls7e_ard_3-0-0_110084_2004-12-26_final
2005-01-15 10:44:59	ga_ls7e_ard_3-1-0_106075_2005-01-15_final
2005-05-15 09:59:45	ga_ls7e_ard_3-0-0_098085_2005-05-15_final
2005-12-05 10:20:04	ga_ls7e_ard_3-0-0_102074_2005-12-05_final
2006-05-09 10:05:59	ga_ls7e_ard_3-0-0_099084_2006-05-09_final
2006-07-27 10:55:14	ga_ls7e_ard_3-0-0_108069_2006-07-27_final
2006-11-16 11:01:28	ga_ls7e_ard_3-0-0_108084_2006-11-16_final
2007-03-02 11:36:19	ga_ls7e_ard_3-0-0_114077_2007-03-02_final
2007-05-11 10:55:57	ga_ls7e_ard_3-0-0_108069_2007-05-11_final
2007-11-19 10:55:42	ga_ls7e_ard_3-0-0_108069_2007-11-19_final
2007-11-21 10:44:57	ga_ls7e_ard_3-0-0_106073_2007-11-21_final
2007-12-07 10:43:51	ga_ls7e_ard_3-0-0_106070_2007-12-07_final
2007-12-10 09:36:41	ga_ls7e_ard_3-0-0_095072_2007-12-10_final
2007-12-24 09:47:54	ga_ls7e_ard_3-0-0_097069_2007-12-24_final
2008-05-31 09:07:46	ga_ls7e_ard_3-0-0_090078_2008-05-30_final
2008-06-21 09:28:55	ga_ls7e_ard_3-0-0_093085_2008-06-20_final
2008-09-14 11:18:24	ga_ls7e_ard_3-0-0_112067_2008-09-14_final
2009-02-19 09:58:05	ga_ls7e_ard_3-0-0_098080_2009-02-19_final
2009-06-17 09:23:52	ga_ls7e_ard_3-0-0_092086_2009-06-16_final
2009-07-06 11:30:24	ga_ls7e_ard_3-0-0_113078_2009-07-06_final
2009-07-20 10:00:38	ga_ls7e_ard_3-0-0_099070_2009-07-20_final
2009-07-28 09:18:44	ga_ls7e_ard_3-0-0_091089_2009-07-27_final
2009-07-29 09:54:00	ga_ls7e_ard_3-0-0_098069_2009-07-29_final
2009-08-03 10:16:06	ga_ls7e_ard_3-0-0_101078_2009-08-03_final
2009-09-23 09:12:02	ga_ls7e_ard_3-0-0_090088_2009-09-22_final
2010-12-07 11:38:23	ga_ls7e_ard_3-0-0_114076_2010-12-07_final
2011-01-31 10:03:19	ga_ls7e_ard_3-0-0_099069_2011-01-31_final
2011-09-05 10:03:28	ga_ls7e_ard_3-0-0_098085_2011-09-05_final
2012-02-25 09:34:34	ga_ls7e_ard_3-0-0_093088_2012-02-25_final
2012-04-16 09:57:00	ga_ls7e_ard_3-0-0_098067_2012-04-16_final
2012-04-18 09:45:51	ga_ls7e_ard_3-0-0_096070_2012-04-18_final
2012-05-02 10:04:12	ga_ls7e_ard_3-0-0_098084_2012-05-02_final
2013-05-23 09:53:13	ga_ls7e_ard_3-0-0_096084_2013-05-23_final
2015-04-23 10:18:32	ga_ls7e_ard_3-0-0_100077_2015-04-23_final
2015-06-03 10:12:39	ga_ls7e_ard_3-0-0_099077_2015-06-03_final
2015-11-16 09:41:09	ga_ls7e_ard_3-0-0_093088_2015-11-16_final
2016-02-02 09:52:36	ga_ls7e_ard_3-0-0_095083_2016-02-02_final
2016-07-04 09:46:23	ga_ls7e_ard_3-0-0_094081_2016-07-04_final
2016-08-19 11:38:29	ga_ls7e_ard_3-0-0_112083_2016-08-19_final
2016-10-27 10:12:37	ga_ls7e_ard_3-0-0_099069_2016-10-27_final
2016-11-22 10:49:56	ga_ls7e_ard_3-0-0_105070_2016-11-22_final
2017-05-24 10:58:29	ga_ls7e_ard_3-0-0_106076_2017-05-24_final
2018-05-17 10:19:53	ga_ls7e_ard_3-0-0_100078_2018-05-17_final
2018-06-05 10:49:41	ga_ls7e_ard_3-0-0_105076_2018-06-05_final
2018-06-25 10:22:36	ga_ls7e_ard_3-0-0_101071_2018-06-25_final
2019-08-21 11:13:51	ga_ls7e_ard_3-0-0_111076_2019-08-21_final
2019-09-15 11:06:11	ga_ls7e_ard_3-1-0_110075_2019-09-15_final
2019-09-26 09:14:16	ga_ls7e_ard_3-1-0_091090_2019-09-25_final
2020-03-01 10:07:54	ga_ls7e_ard_3-1-0_102073_2020-03-01_final
2020-12-21 09:57:53	ga_ls7e_ard_3-1-0_103079_2020-12-21_final
2021-06-26 09:26:12	ga_ls7e_ard_3-2-0_100083_2021-06-25_final
2021-08-10 10:29:06	ga_ls7e_ard_3-2-0_111080_2021-08-10_final
2021-09-17 08:10:37	ga_ls7e_ard_3-2-0_089082_2021-09-16_final
2022-01-29 08:54:12	ga_ls7e_ard_3-2-1_099068_2022-01-28_final
2022-03-15 08:20:49	ga_ls7e_ard_3-2-1_094073_2022-03-14_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