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

76 results

Time (local)	Label
1999-08-25 09:22:22	ga_ls7e_ard_3-0-0_092076_1999-08-24_final
2000-06-14 10:25:07	ga_ls7e_ard_3-0-0_102081_2000-06-14_final
2001-04-14 10:23:23	ga_ls7e_ard_3-0-0_102081_2001-04-14_final
2001-11-17 10:14:00	ga_ls7e_ard_3-0-0_101077_2001-11-17_final
2001-11-19 10:02:02	ga_ls7e_ard_3-0-0_099078_2001-11-19_final
2003-05-01 09:59:29	ga_ls7e_ard_3-0-0_099071_2003-05-01_final
2003-08-31 10:38:09	ga_ls7e_ard_3-0-0_105076_2003-08-31_final
2003-10-18 10:38:02	ga_ls7e_ard_3-0-0_105076_2003-10-18_final
2003-10-26 09:45:56	ga_ls7e_ard_3-0-0_097069_2003-10-26_final
2003-11-30 10:18:44	ga_ls7e_ard_3-0-0_102073_2003-11-30_final
2004-01-18 11:03:06	ga_ls7e_ard_3-0-0_109075_2004-01-18_final
2004-01-28 09:58:35	ga_ls7e_ard_3-0-0_099068_2004-01-28_final
2004-03-25 09:53:49	ga_ls7e_ard_3-0-0_098071_2004-03-25_final
2005-01-05 10:08:16	ga_ls7e_ard_3-0-0_100076_2005-01-05_final
2005-03-02 10:56:49	ga_ls7e_ard_3-0-0_108073_2005-03-02_final
2005-05-22 10:00:19	ga_ls7e_ard_3-0-0_099071_2005-05-22_final
2005-06-24 10:44:36	ga_ls7e_ard_3-0-0_106074_2005-06-24_final
2005-07-26 10:45:24	ga_ls7e_ard_3-0-0_106076_2005-07-26_final
2005-08-11 10:45:20	ga_ls7e_ard_3-0-0_106076_2005-08-11_final
2005-08-26 10:00:47	ga_ls7e_ard_3-0-0_099073_2005-08-26_final
2005-11-14 11:40:41	ga_ls7e_ard_3-0-0_115075_2005-11-14_final
2005-11-15 09:11:22	ga_ls7e_ard_3-0-0_090088_2005-11-14_final
2006-01-01 10:03:16	ga_ls7e_ard_3-0-0_099078_2006-01-01_final
2006-02-25 10:07:23	ga_ls7e_ard_3-0-0_100072_2006-02-25_final
2006-09-17 08:56:39	ga_ls7e_ard_3-0-0_088082_2006-09-16_final
2006-11-14 11:13:49	ga_ls7e_ard_3-0-0_110084_2006-11-14_final
2007-01-03 09:20:28	ga_ls7e_ard_3-0-0_092078_2007-01-02_final
2007-03-26 10:44:31	ga_ls7e_ard_3-0-0_106071_2007-03-26_final
2007-04-11 10:43:19	ga_ls7e_ard_3-0-0_106068_2007-04-11_final
2007-06-17 11:15:09	ga_ls7e_ard_3-0-0_111071_2007-06-17_final
2007-08-08 09:16:57	ga_ls7e_ard_3-0-0_091085_2007-08-07_final
2007-08-10 10:39:52	ga_ls7e_ard_3-0-0_105076_2007-08-10_final
2007-12-06 10:04:11	ga_ls7e_ard_3-0-0_099079_2007-12-06_final
2008-02-24 10:01:21	ga_ls7e_ard_3-0-0_099072_2008-02-24_final
2008-06-16 10:42:31	ga_ls7e_ard_3-0-0_106068_2008-06-16_final
2008-10-06 09:11:23	ga_ls7e_ard_3-0-0_090090_2008-10-05_final
2008-11-26 11:14:35	ga_ls7e_ard_3-0-0_111072_2008-11-26_final
2009-01-02 09:54:10	ga_ls7e_ard_3-0-0_098071_2009-01-02_final
2009-08-13 09:17:50	ga_ls7e_ard_3-0-0_091087_2009-08-12_final
2009-12-02 10:10:06	ga_ls7e_ard_3-0-0_100077_2009-12-02_final
2010-12-02 09:40:55	ga_ls7e_ard_3-0-0_095076_2010-12-02_final
2011-02-17 09:14:32	ga_ls7e_ard_3-0-0_090086_2011-02-16_final
2011-11-14 09:27:48	ga_ls7e_ard_3-0-0_092088_2011-11-13_final
2012-01-05 09:01:09	ga_ls7e_ard_3-0-0_088082_2012-01-04_final
2012-06-11 10:50:21	ga_ls7e_ard_3-0-0_106076_2012-06-11_final
2012-10-25 10:03:10	ga_ls7e_ard_3-0-0_098078_2012-10-25_final
2013-01-26 11:11:07	ga_ls7e_ard_3-0-0_109077_2013-01-26_final
2014-01-24 10:53:56	ga_ls7e_ard_3-0-0_106079_2014-01-24_final
2014-02-24 10:10:38	ga_ls7e_ard_3-0-0_099079_2014-02-24_final
2014-03-02 09:28:48	ga_ls7e_ard_3-0-0_093067_2014-03-01_final
2015-09-23 11:52:46	ga_ls7e_ard_3-0-0_115079_2015-09-23_final
2015-12-21 10:11:23	ga_ls7e_ard_3-0-0_098085_2015-12-21_final
2016-06-05 10:16:02	ga_ls7e_ard_3-0-0_099078_2016-06-05_final
2016-08-26 11:44:42	ga_ls7e_ard_3-0-0_113083_2016-08-26_final
2016-09-01 11:07:39	ga_ls7e_ard_3-0-0_107083_2016-09-01_final
2016-12-30 10:16:15	ga_ls7e_ard_3-0-0_099079_2016-12-30_final
2017-06-19 10:00:24	ga_ls7e_ard_3-0-0_096085_2017-06-19_final
2018-01-10 11:04:36	ga_ls7e_ard_3-0-0_107077_2018-01-10_final
2018-02-19 10:15:24	ga_ls7e_ard_3-0-0_099079_2018-02-19_final
2018-06-13 10:01:18	ga_ls7e_ard_3-0-0_097079_2018-06-13_final
2018-06-15 09:44:07	ga_ls7e_ard_3-0-0_095067_2018-06-15_final
2018-06-21 09:12:55	ga_ls7e_ard_3-0-0_089082_2018-06-20_final
2018-11-09 10:15:57	ga_ls7e_ard_3-0-0_100077_2018-11-09_final
2019-08-01 10:01:19	ga_ls7e_ard_3-0-0_099078_2019-08-01_final
2019-11-20 10:52:56	ga_ls7e_ard_3-1-0_108080_2019-11-20_final
2020-01-29 10:08:22	ga_ls7e_ard_3-1-0_102070_2020-01-29_final
2020-05-07 09:01:41	ga_ls7e_ard_3-1-0_091087_2020-05-06_final
2020-06-01 08:53:11	ga_ls7e_ard_3-1-0_090085_2020-05-31_final
2020-06-24 10:35:18	ga_ls7e_ard_3-1-0_107081_2020-06-24_final
2020-08-16 10:51:22	ga_ls7e_ard_3-1-0_110083_2020-08-16_final
2021-08-16 08:11:24	ga_ls7e_ard_3-2-0_089077_2021-08-15_final
2021-10-25 09:07:02	ga_ls7e_ard_3-2-0_099077_2021-10-24_final
2021-11-05 10:25:09	ga_ls7e_ard_3-2-0_112074_2021-11-05_final
2021-11-09 10:02:26	ga_ls7e_ard_3-2-0_108080_2021-11-09_final
2021-12-12 09:02:28	ga_ls7e_ard_3-2-1_099077_2021-12-11_final
2022-01-24 08:42:32	ga_ls7e_ard_3-2-1_096084_2022-01-23_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