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
2000-01-07 11:07:22	ga_ls7e_ard_3-0-0_109076_2000-01-07_final
2000-02-23 10:26:16	ga_ls7e_ard_3-0-0_102082_2000-02-23_final
2000-05-15 10:11:25	ga_ls7e_ard_3-0-0_100077_2000-05-15_final
2000-08-01 10:24:26	ga_ls7e_ard_3-1-0_102081_2000-08-01_final
2000-09-14 10:46:12	ga_ls7e_ard_3-1-0_106075_2000-09-14_final
2001-07-20 11:01:50	ga_ls7e_ard_3-0-0_109071_2001-07-20_final
2002-03-08 11:08:50	ga_ls7e_ard_3-0-0_110074_2002-03-08_final
2002-12-14 11:02:22	ga_ls7e_ard_3-0-0_109075_2002-12-14_final
2003-05-29 10:28:08	ga_ls7e_ard_3-0-0_103081_2003-05-29_final
2003-11-10 10:44:04	ga_ls7e_ard_3-1-0_106075_2003-11-10_final
2004-06-01 11:09:26	ga_ls7e_ard_3-0-0_110075_2004-06-01_final
2004-06-11 10:08:21	ga_ls7e_ard_3-0-0_100077_2004-06-11_final
2004-10-03 09:58:18	ga_ls7e_ard_3-0-0_098084_2004-10-03_final
2005-01-02 09:36:09	ga_ls7e_ard_3-1-0_095073_2005-01-02_final
2005-01-21 10:08:42	ga_ls7e_ard_3-0-0_100077_2005-01-21_final
2005-01-30 09:58:58	ga_ls7e_ard_3-0-0_099068_2005-01-30_final
2005-01-31 10:45:02	ga_ls7e_ard_3-1-0_106075_2005-01-31_final
2005-04-04 10:03:10	ga_ls7e_ard_3-0-0_099078_2005-04-04_final
2005-04-30 10:39:23	ga_ls7e_ard_3-0-0_105076_2005-04-30_final
2005-09-04 09:53:43	ga_ls7e_ard_3-0-0_098071_2005-09-04_final
2005-09-05 10:38:57	ga_ls7e_ard_3-0-0_105076_2005-09-05_final
2006-01-02 09:07:15	ga_ls7e_ard_3-0-0_090077_2006-01-01_final
2006-05-03 10:39:27	ga_ls7e_ard_3-0-0_105075_2006-05-03_final
2006-05-24 10:57:37	ga_ls7e_ard_3-0-0_108074_2006-05-24_final
2006-08-13 11:42:05	ga_ls7e_ard_3-0-0_115078_2006-08-13_final
2008-03-17 11:03:28	ga_ls7e_ard_3-0-0_109073_2008-03-17_final
2008-09-29 10:38:34	ga_ls7e_ard_3-0-0_105076_2008-09-29_final
2008-12-28 09:36:00	ga_ls7e_ard_3-0-0_095072_2008-12-28_final
2009-01-25 09:59:16	ga_ls7e_ard_3-0-0_099068_2009-01-25_final
2009-05-17 10:03:57	ga_ls7e_ard_3-0-0_099078_2009-05-17_final
2009-09-05 09:24:25	ga_ls7e_ard_3-0-0_092088_2009-09-04_final
2009-10-09 09:10:19	ga_ls7e_ard_3-0-0_090084_2009-10-08_final
2010-01-13 09:12:10	ga_ls7e_ard_3-1-0_090085_2010-01-12_final
2010-09-25 10:06:12	ga_ls7e_ard_3-0-0_099079_2010-09-25_final
2010-11-13 09:10:11	ga_ls7e_ard_3-0-0_090077_2010-11-12_final
2010-12-24 10:40:06	ga_ls7e_ard_3-0-0_105069_2010-12-24_final
2011-07-26 11:44:42	ga_ls7e_ard_3-0-0_115075_2011-07-26_final
2012-02-18 11:05:16	ga_ls7e_ard_3-0-0_108083_2012-02-18_final
2012-09-06 09:23:02	ga_ls7e_ard_3-0-0_091087_2012-09-05_final
2015-06-15 10:39:03	ga_ls7e_ard_3-0-0_103081_2015-06-15_final
2015-06-25 11:13:43	ga_ls7e_ard_3-0-0_109075_2015-06-25_final
2015-10-10 09:21:11	ga_ls7e_ard_3-0-0_090086_2015-10-09_final
2016-01-25 10:41:11	ga_ls7e_ard_3-0-0_103081_2016-01-25_final
2016-05-24 11:28:32	ga_ls7e_ard_3-0-0_111074_2016-05-24_final
2016-06-18 11:22:28	ga_ls7e_ard_3-0-0_110074_2016-06-18_final
2016-07-12 10:35:48	ga_ls7e_ard_3-0-0_102081_2016-07-12_final
2016-09-15 09:41:32	ga_ls7e_ard_3-0-0_093084_2016-09-15_final
2016-10-01 11:20:28	ga_ls7e_ard_3-0-0_109084_2016-10-01_final
2017-12-22 10:35:33	ga_ls7e_ard_3-0-0_102081_2017-12-22_final
2017-12-27 09:14:45	ga_ls7e_ard_3-0-0_089080_2017-12-26_final
2018-03-03 10:40:47	ga_ls7e_ard_3-0-0_103081_2018-03-03_final
2018-04-30 11:15:00	ga_ls7e_ard_3-0-0_109076_2018-04-30_final
2018-05-04 09:13:43	ga_ls7e_ard_3-0-0_089082_2018-05-03_final
2018-05-30 11:24:53	ga_ls7e_ard_3-0-0_111071_2018-05-30_final
2018-05-31 10:33:14	ga_ls7e_ard_3-0-0_102081_2018-05-31_final
2018-07-02 10:27:27	ga_ls7e_ard_3-0-0_102068_2018-07-02_final
2018-07-10 11:18:19	ga_ls7e_ard_3-1-0_110072_2018-07-10_final
2019-01-27 11:08:55	ga_ls7e_ard_3-0-0_109076_2019-01-27_final
2019-02-02 10:30:04	ga_ls7e_ard_3-0-0_103072_2019-02-02_final
2019-02-28 11:07:09	ga_ls7e_ard_3-1-0_109074_2019-02-28_final
2019-03-04 10:45:30	ga_ls7e_ard_3-1-0_105082_2019-03-04_final
2019-04-03 09:19:35	ga_ls7e_ard_3-1-0_091086_2019-04-02_final
2019-04-19 10:55:30	ga_ls7e_ard_3-0-0_107080_2019-04-19_final
2019-07-29 09:34:08	ga_ls7e_ard_3-0-0_094087_2019-07-29_final
2020-11-01 10:12:16	ga_ls7e_ard_3-1-0_105075_2020-11-01_final
2020-11-07 11:14:03	ga_ls7e_ard_3-1-0_115076_2020-11-07_final
2021-06-14 08:57:17	ga_ls7e_ard_3-2-0_096070_2021-06-13_final
2021-09-30 09:15:50	ga_ls7e_ard_3-2-0_100078_2021-09-29_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