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

83 results

Time (local)	Label
1999-11-06 10:54:39	ga_ls7e_ard_3-0-0_107075_1999-11-06_final
1999-12-31 09:26:14	ga_ls7e_ard_3-0-0_092086_1999-12-30_final
2000-08-20 10:52:48	ga_ls7e_ard_3-0-0_107075_2000-08-20_final
2000-10-19 09:37:47	ga_ls7e_ard_3-0-0_095075_2000-10-19_final
2000-11-03 08:57:30	ga_ls7e_ard_3-0-0_088082_2000-11-02_final
2001-06-06 09:00:58	ga_ls7e_ard_3-0-0_089077_2001-06-05_final
2002-01-05 10:54:14	ga_ls7e_ard_3-0-0_108069_2002-01-05_final
2002-08-02 10:01:20	ga_ls7e_ard_3-0-0_099077_2002-08-02_final
2002-10-18 11:07:40	ga_ls7e_ard_3-0-0_110074_2002-10-18_final
2003-05-07 11:02:53	ga_ls7e_ard_3-0-0_109075_2003-05-07_final
2003-07-27 10:07:47	ga_ls7e_ard_3-0-0_100077_2003-07-27_final
2003-08-13 09:17:16	ga_ls7e_ard_3-0-0_091090_2003-08-12_final
2003-09-19 09:33:38	ga_ls7e_ard_3-0-0_094085_2003-09-19_final
2003-11-17 10:50:22	ga_ls7e_ard_3-0-0_107075_2003-11-17_final
2003-12-05 10:38:29	ga_ls7e_ard_3-0-0_105076_2003-12-05_final
2004-02-03 11:03:13	ga_ls7e_ard_3-0-0_109075_2004-02-03_final
2004-02-04 10:08:24	ga_ls7e_ard_3-0-0_100077_2004-02-04_final
2004-02-09 10:28:33	ga_ls7e_ard_3-0-0_103081_2004-02-09_final
2004-03-10 10:38:37	ga_ls7e_ard_3-0-0_105075_2004-03-10_final
2004-08-22 10:56:44	ga_ls7e_ard_3-0-0_108075_2004-08-22_final
2004-09-07 10:54:15	ga_ls7e_ard_3-0-0_108069_2004-09-07_final
2004-09-25 10:44:35	ga_ls7e_ard_3-0-0_106076_2004-09-25_final
2004-12-02 10:22:23	ga_ls7e_ard_3-0-0_102081_2004-12-02_final
2005-02-10 11:21:50	ga_ls7e_ard_3-0-0_112074_2005-02-10_final
2005-09-03 09:16:51	ga_ls7e_ard_3-0-0_091087_2005-09-02_final
2005-11-14 10:00:36	ga_ls7e_ard_3-0-0_099072_2005-11-14_final
2005-12-26 09:05:48	ga_ls7e_ard_3-1-0_089089_2005-12-25_final
2006-01-05 11:15:04	ga_ls7e_ard_3-0-0_111072_2006-01-05_final
2006-01-07 11:03:32	ga_ls7e_ard_3-0-0_109074_2006-01-07_final
2006-01-14 09:30:53	ga_ls7e_ard_3-0-0_094074_2006-01-14_final
2006-02-02 10:00:44	ga_ls7e_ard_3-0-0_099071_2006-02-02_final
2006-03-31 11:35:06	ga_ls7e_ard_3-0-0_114075_2006-03-31_final
2006-09-08 10:38:59	ga_ls7e_ard_3-0-0_105075_2006-09-08_final
2007-03-15 11:04:39	ga_ls7e_ard_3-0-0_109075_2007-03-15_final
2007-09-01 10:03:26	ga_ls7e_ard_3-0-0_099078_2007-09-01_final
2008-01-28 10:20:24	ga_ls7e_ard_3-0-0_102073_2008-01-28_final
2009-01-27 09:47:43	ga_ls7e_ard_3-0-0_097070_2009-01-27_final
2009-02-04 10:36:48	ga_ls7e_ard_3-0-0_105069_2009-02-04_final
2009-03-09 09:40:42	ga_ls7e_ard_3-0-0_096067_2009-03-09_final
2009-03-31 09:11:21	ga_ls7e_ard_3-0-0_090086_2009-03-30_final
2009-04-07 09:19:10	ga_ls7e_ard_3-0-0_091090_2009-04-06_final
2009-06-10 10:52:12	ga_ls7e_ard_3-0-0_107075_2009-06-10_final
2009-06-24 09:22:27	ga_ls7e_ard_3-0-0_093067_2009-06-23_final
2009-08-29 10:51:56	ga_ls7e_ard_3-0-0_107075_2009-08-29_final
2009-10-03 11:26:22	ga_ls7e_ard_3-1-0_112084_2009-10-03_final
2009-10-29 10:23:37	ga_ls7e_ard_3-0-0_102081_2009-10-29_final
2010-02-01 09:41:44	ga_ls7e_ard_3-0-0_095081_2010-02-01_final
2010-12-11 09:34:01	ga_ls7e_ard_3-0-0_094074_2010-12-11_final
2010-12-18 09:43:26	ga_ls7e_ard_3-0-0_095082_2010-12-18_final
2011-02-13 11:12:56	ga_ls7e_ard_3-0-0_110073_2011-02-13_final
2011-05-23 10:06:42	ga_ls7e_ard_3-0-0_099077_2011-05-23_final
2011-08-16 10:26:40	ga_ls7e_ard_3-0-0_102081_2011-08-16_final
2011-11-26 09:44:17	ga_ls7e_ard_3-0-0_096067_2011-11-26_final
2012-05-01 10:56:13	ga_ls7e_ard_3-0-0_107075_2012-05-01_final
2012-06-18 09:23:18	ga_ls7e_ard_3-0-0_091090_2012-06-17_final
2012-07-16 11:20:53	ga_ls7e_ard_3-0-0_111074_2012-07-16_final
2012-09-22 10:57:16	ga_ls7e_ard_3-0-0_107075_2012-09-22_final
2012-09-30 10:11:06	ga_ls7e_ard_3-0-0_099083_2012-09-30_final
2014-03-02 09:28:48	ga_ls7e_ard_3-0-0_093067_2014-03-01_final
2015-04-03 10:45:07	ga_ls7e_ard_3-0-0_104082_2015-04-03_final
2016-06-12 10:19:27	ga_ls7e_ard_3-0-0_100071_2016-06-12_final
2016-07-25 11:41:03	ga_ls7e_ard_3-0-0_113074_2016-07-25_final
2016-08-24 10:16:10	ga_ls7e_ard_3-0-0_099078_2016-08-24_final
2016-09-15 11:17:14	ga_ls7e_ard_3-0-0_109076_2016-09-15_final
2017-02-21 10:35:16	ga_ls7e_ard_3-0-0_102081_2017-02-21_final
2018-04-04 10:35:10	ga_ls7e_ard_3-0-0_103068_2018-04-04_final
2018-07-04 10:21:02	ga_ls7e_ard_3-0-0_100083_2018-07-04_final
2018-08-18 11:24:36	ga_ls7e_ard_3-0-0_111074_2018-08-18_final
2018-12-25 10:24:42	ga_ls7e_ard_3-0-0_102071_2018-12-25_final
2019-03-10 10:02:39	ga_ls7e_ard_3-1-0_099068_2019-03-10_final
2019-04-21 10:40:40	ga_ls7e_ard_3-0-0_105074_2019-04-21_final
2019-09-29 09:35:52	ga_ls7e_ard_3-1-0_096067_2019-09-29_final
2019-10-30 10:30:34	ga_ls7e_ard_3-1-0_105068_2019-10-30_final
2019-11-27 10:56:23	ga_ls7e_ard_3-1-0_109074_2019-11-27_final
2019-12-04 11:01:50	ga_ls7e_ard_3-1-0_110073_2019-12-04_final
2020-05-12 10:53:36	ga_ls7e_ard_3-1-0_110074_2020-05-12_final
2020-05-21 10:47:16	ga_ls7e_ard_3-1-0_109075_2020-05-21_final
2020-10-25 10:09:21	ga_ls7e_ard_3-1-0_104082_2020-10-25_final
2020-10-26 10:49:21	ga_ls7e_ard_3-1-0_111074_2020-10-26_final
2021-05-19 10:05:39	ga_ls7e_ard_3-2-0_106081_2021-05-19_final
2022-01-08 10:18:09	ga_ls7e_ard_3-2-1_112072_2022-01-08_final
2022-02-05 09:03:16	ga_ls7e_ard_3-2-1_100077_2022-02-04_final
2022-02-11 08:23:11	ga_ls7e_ard_3-2-1_094071_2022-02-10_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