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

91 results

Time (local)	Label
2000-02-13 09:43:19	ga_ls7e_ard_3-0-0_096067_2000-02-13_final
2000-04-09 10:38:24	ga_ls7e_ard_3-0-0_104082_2000-04-09_final
2000-05-17 11:37:32	ga_ls7e_ard_3-0-0_114076_2000-05-17_final
2000-09-28 10:55:59	ga_ls7e_ard_3-0-0_108069_2000-09-28_final
2000-10-03 09:34:50	ga_ls7e_ard_3-0-0_095067_2000-10-03_final
2000-12-03 10:46:19	ga_ls7e_ard_3-0-0_106076_2000-12-03_final
2001-05-22 09:40:26	ga_ls7e_ard_3-0-0_096067_2001-05-22_final
2001-05-26 10:55:22	ga_ls7e_ard_3-0-0_108069_2001-05-26_final
2001-08-07 10:50:47	ga_ls7e_ard_3-0-0_107075_2001-08-07_final
2001-09-02 09:46:13	ga_ls7e_ard_3-0-0_097069_2001-09-02_final
2002-04-27 10:54:21	ga_ls7e_ard_3-0-0_108069_2002-04-27_final
2002-05-21 10:08:00	ga_ls7e_ard_3-0-0_100077_2002-05-21_final
2002-07-18 10:44:19	ga_ls7e_ard_3-0-0_106076_2002-07-18_final
2002-10-20 10:53:19	ga_ls7e_ard_3-0-0_108069_2002-10-20_final
2004-02-07 09:00:25	ga_ls7e_ard_3-0-0_089077_2004-02-06_final
2004-03-18 11:29:18	ga_ls7e_ard_3-0-0_113078_2004-03-18_final
2004-11-01 11:02:59	ga_ls7e_ard_3-0-0_109075_2004-11-01_final
2005-04-02 10:17:08	ga_ls7e_ard_3-0-0_101082_2005-04-02_final
2005-06-14 10:06:21	ga_ls7e_ard_3-0-0_100071_2005-06-14_final
2005-09-04 09:53:19	ga_ls7e_ard_3-0-0_098070_2005-09-04_final
2005-09-21 10:38:52	ga_ls7e_ard_3-0-0_105076_2005-09-21_final
2006-03-07 10:48:28	ga_ls7e_ard_3-0-0_106082_2006-03-07_final
2006-05-24 09:23:55	ga_ls7e_ard_3-1-0_092087_2006-05-23_final
2006-06-17 10:12:05	ga_ls7e_ard_3-0-0_100084_2006-06-17_final
2006-07-19 10:07:04	ga_ls7e_ard_3-0-0_100072_2006-07-19_final
2006-09-24 10:38:53	ga_ls7e_ard_3-0-0_105075_2006-09-24_final
2006-10-27 09:40:16	ga_ls7e_ard_3-0-0_096067_2006-10-27_final
2007-09-15 10:16:29	ga_ls7e_ard_3-0-0_101080_2007-09-15_final
2007-12-12 11:06:25	ga_ls7e_ard_3-0-0_109080_2007-12-12_final
2008-04-16 09:36:55	ga_ls7e_ard_3-1-0_095073_2008-04-16_final
2008-04-19 10:07:01	ga_ls7e_ard_3-0-0_100071_2008-04-19_final
2008-05-03 10:22:55	ga_ls7e_ard_3-0-0_102080_2008-05-03_final
2008-06-03 09:34:16	ga_ls7e_ard_3-0-0_095067_2008-06-03_final
2008-10-17 10:28:08	ga_ls7e_ard_3-0-0_103081_2008-10-17_final
2009-02-21 09:40:33	ga_ls7e_ard_3-0-0_096067_2009-02-21_final
2009-04-19 11:16:03	ga_ls7e_ard_3-0-0_111073_2009-04-19_final
2009-06-05 08:57:34	ga_ls7e_ard_3-0-0_088082_2009-06-04_final
2009-06-25 10:07:18	ga_ls7e_ard_3-0-0_100071_2009-06-25_final
2009-06-29 09:40:59	ga_ls7e_ard_3-0-0_096067_2009-06-29_final
2009-09-30 09:15:00	ga_ls7e_ard_3-0-0_091080_2009-09-29_final
2009-10-09 09:10:19	ga_ls7e_ard_3-0-0_090084_2009-10-08_final
2009-11-13 11:16:40	ga_ls7e_ard_3-0-0_111074_2009-11-13_final
2010-03-29 10:32:02	ga_ls7e_ard_3-0-0_103082_2010-03-29_final
2010-09-16 10:09:12	ga_ls7e_ard_3-0-0_100071_2010-09-16_final
2010-10-11 10:03:03	ga_ls7e_ard_3-0-0_099071_2010-10-11_final
2010-10-25 10:15:34	ga_ls7e_ard_3-0-0_101071_2010-10-25_final
2010-11-14 09:53:52	ga_ls7e_ard_3-0-0_097078_2010-11-14_final
2011-03-30 09:08:07	ga_ls7e_ard_3-0-0_089085_2011-03-29_final
2011-07-02 10:58:52	ga_ls7e_ard_3-0-0_107084_2011-07-02_final
2011-10-18 09:41:18	ga_ls7e_ard_3-0-0_095076_2011-10-18_final
2012-03-10 09:38:29	ga_ls7e_ard_3-0-0_095067_2012-03-10_final
2012-08-17 09:39:34	ga_ls7e_ard_3-0-0_095067_2012-08-17_final
2012-09-16 09:53:00	ga_ls7e_ard_3-0-0_097069_2012-09-16_final
2012-12-24 10:25:24	ga_ls7e_ard_3-0-0_102071_2012-12-24_final
2013-04-11 09:13:31	ga_ls7e_ard_3-0-0_090077_2013-04-10_final
2013-06-20 10:12:32	ga_ls7e_ard_3-0-0_100071_2013-06-20_final
2013-07-10 09:46:00	ga_ls7e_ard_3-0-0_096067_2013-07-10_final
2013-10-25 09:36:06	ga_ls7e_ard_3-1-0_093087_2013-10-25_final
2014-02-25 09:18:36	ga_ls7e_ard_3-0-0_090088_2014-02-24_final
2014-05-31 10:10:54	ga_ls7e_ard_3-0-0_099078_2014-05-31_final
2014-08-23 09:44:02	ga_ls7e_ard_3-0-0_095072_2014-08-23_final
2015-03-30 09:32:54	ga_ls7e_ard_3-0-0_092087_2015-03-30_final
2015-07-12 10:21:49	ga_ls7e_ard_3-0-0_100084_2015-07-12_final
2016-02-26 10:41:44	ga_ls7e_ard_3-0-0_103082_2016-02-26_final
2016-12-09 11:31:57	ga_ls7e_ard_3-0-0_112067_2016-12-09_final
2017-05-06 09:36:19	ga_ls7e_ard_3-0-0_092087_2017-05-06_final
2017-07-05 11:34:55	ga_ls7e_ard_3-0-0_112074_2017-07-05_final
2017-08-18 10:21:54	ga_ls7e_ard_3-0-0_100077_2017-08-18_final
2017-10-09 11:34:53	ga_ls7e_ard_3-1-0_112074_2017-10-09_final
2017-11-12 11:25:18	ga_ls7e_ard_3-0-0_110081_2017-11-12_final
2017-11-30 11:08:51	ga_ls7e_ard_3-0-0_108071_2017-11-30_final
2017-12-07 11:16:10	ga_ls7e_ard_3-0-0_109074_2017-12-07_final
2018-02-21 10:03:25	ga_ls7e_ard_3-0-0_097080_2018-02-21_final
2018-06-18 10:19:21	ga_ls7e_ard_3-0-0_100078_2018-06-18_final
2018-08-28 10:21:24	ga_ls7e_ard_3-0-0_101071_2018-08-28_final
2019-07-11 11:20:54	ga_ls7e_ard_3-0-0_112074_2019-07-11_final
2019-07-17 10:43:59	ga_ls7e_ard_3-1-0_106075_2019-07-17_final
2019-08-10 09:51:35	ga_ls7e_ard_3-0-0_098070_2019-08-10_final
2019-10-27 10:01:00	ga_ls7e_ard_3-1-0_100071_2019-10-27_final
2019-12-17 10:31:29	ga_ls7e_ard_3-1-0_105076_2019-12-17_final
2020-02-27 09:36:46	ga_ls7e_ard_3-1-0_097072_2020-02-27_final
2020-05-10 09:24:25	ga_ls7e_ard_3-1-0_096067_2020-05-09_final
2020-07-30 10:08:23	ga_ls7e_ard_3-1-0_103081_2020-07-30_final
2020-08-20 08:47:07	ga_ls7e_ard_3-1-0_090082_2020-08-19_final
2020-09-30 08:36:40	ga_ls7e_ard_3-1-0_089078_2020-09-29_final
2021-03-07 08:41:46	ga_ls7e_ard_3-2-0_091088_2021-03-06_final
2021-06-12 09:13:24	ga_ls7e_ard_3-2-0_098079_2021-06-11_final
2021-07-05 09:16:28	ga_ls7e_ard_3-2-0_099076_2021-07-04_final
2021-07-13 10:07:37	ga_ls7e_ard_3-2-0_107082_2021-07-13_final
2021-07-14 09:06:44	ga_ls7e_ard_3-2-0_098069_2021-07-13_final
2022-03-10 08:09:35	ga_ls7e_ard_3-2-1_091090_2022-03-09_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