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

First 100 results (query limit)

Time (local)	Label
1999-08-07 11:10:01	ga_ls7e_ard_3-0-0_110067_1999-08-07_final
2000-05-12 09:44:31	ga_ls7e_ard_3-0-0_095087_2000-05-12_final
2000-12-31 11:08:43	ga_ls7e_ard_3-0-0_110070_2000-12-31_final
2001-04-18 11:36:44	ga_ls7e_ard_3-0-0_114079_2001-04-18_final
2001-10-18 11:40:17	ga_ls7e_ard_3-0-0_115077_2001-10-18_final
2002-04-07 11:18:16	ga_ls7e_ard_3-0-0_112067_2002-04-07_final
2004-02-01 11:12:22	ga_ls7e_ard_3-0-0_111067_2004-02-01_final
2005-02-28 11:08:23	ga_ls7e_ard_3-0-0_110071_2005-02-28_final
2005-07-06 11:08:55	ga_ls7e_ard_3-0-0_110073_2005-07-06_final
2006-01-07 11:06:20	ga_ls7e_ard_3-1-0_109081_2006-01-07_final
2006-01-14 11:08:35	ga_ls7e_ard_3-0-0_110071_2006-01-14_final
2006-02-06 09:36:26	ga_ls7e_ard_3-0-0_095072_2006-02-06_final
2006-02-06 09:36:49	ga_ls7e_ard_3-1-0_095073_2006-02-06_final
2006-03-19 11:09:36	ga_ls7e_ard_3-0-0_110073_2006-03-19_final
2006-04-11 11:18:31	ga_ls7e_ard_3-0-0_111080_2006-04-11_final
2006-10-13 11:12:32	ga_ls7e_ard_3-1-0_110082_2006-10-13_final
2006-10-19 08:56:40	ga_ls7e_ard_3-0-0_088082_2006-10-18_final
2006-11-12 11:22:10	ga_ls7e_ard_3-0-0_112074_2006-11-12_final
2006-11-30 11:13:34	ga_ls7e_ard_3-0-0_110083_2006-11-30_final
2006-12-21 11:28:38	ga_ls7e_ard_3-0-0_113074_2006-12-21_final
2007-04-19 11:32:20	ga_ls7e_ard_3-0-0_114067_2007-04-19_final
2007-04-30 09:34:52	ga_ls7e_ard_3-0-0_095067_2007-04-30_final
2007-05-15 08:57:30	ga_ls7e_ard_3-0-0_088082_2007-05-14_final
2007-05-16 09:37:10	ga_ls7e_ard_3-1-0_095073_2007-05-16_final
2008-01-27 09:34:45	ga_ls7e_ard_3-0-0_095067_2008-01-27_final
2008-06-19 11:16:59	ga_ls7e_ard_3-0-0_111077_2008-06-19_final
2008-10-18 11:08:14	ga_ls7e_ard_3-0-0_110073_2008-10-18_final
2009-04-10 11:22:35	ga_ls7e_ard_3-0-0_112074_2009-04-10_final
2009-05-05 11:15:42	ga_ls7e_ard_3-0-0_111072_2009-05-05_final
2009-11-15 11:04:44	ga_ls7e_ard_3-0-0_109075_2009-11-15_final
2009-11-15 11:08:19	ga_ls7e_ard_3-0-0_109084_2009-11-15_final
2010-09-20 11:26:57	ga_ls7e_ard_3-0-0_112080_2010-09-20_final
2010-10-24 11:09:35	ga_ls7e_ard_3-0-0_110067_2010-10-24_final
2010-12-02 09:39:19	ga_ls7e_ard_3-0-0_095072_2010-12-02_final
2010-12-02 11:18:36	ga_ls7e_ard_3-0-0_111073_2010-12-02_final
2011-01-31 11:45:47	ga_ls7e_ard_3-0-0_115078_2011-01-31_final
2011-08-13 11:32:39	ga_ls7e_ard_3-0-0_113076_2011-08-13_final
2011-08-15 09:40:12	ga_ls7e_ard_3-1-0_095073_2011-08-15_final
2011-10-23 11:39:34	ga_ls7e_ard_3-0-0_114078_2011-10-23_final
2012-01-05 09:00:45	ga_ls7e_ard_3-0-0_088081_2012-01-04_final
2012-01-21 09:01:08	ga_ls7e_ard_3-0-0_088082_2012-01-20_final
2012-03-22 11:44:56	ga_ls7e_ard_3-0-0_115074_2012-03-22_final
2012-04-04 11:14:24	ga_ls7e_ard_3-0-0_110075_2012-04-04_final
2012-04-09 11:29:42	ga_ls7e_ard_3-0-0_113067_2012-04-09_final
2012-04-20 11:14:03	ga_ls7e_ard_3-0-0_110074_2012-04-20_final
2012-09-11 11:18:30	ga_ls7e_ard_3-0-0_110082_2012-09-11_final
2013-04-12 11:35:16	ga_ls7e_ard_3-0-0_113076_2013-04-12_final
2014-02-10 11:39:17	ga_ls7e_ard_3-0-0_113084_2014-02-10_final
2014-09-24 11:23:26	ga_ls7e_ard_3-0-0_111073_2014-09-24_final
2014-10-03 11:17:47	ga_ls7e_ard_3-0-0_110074_2014-10-03_final
2015-03-31 11:51:28	ga_ls7e_ard_3-0-0_115078_2015-03-31_final
2015-06-19 11:52:01	ga_ls7e_ard_3-0-0_115078_2015-06-19_final
2016-06-16 11:38:01	ga_ls7e_ard_3-0-0_112082_2016-06-16_final
2016-07-20 11:23:17	ga_ls7e_ard_3-0-0_110076_2016-07-20_final
2016-08-30 11:16:24	ga_ls7e_ard_3-0-0_109074_2016-08-30_final
2017-01-26 11:38:17	ga_ls7e_ard_3-1-0_112084_2017-01-26_final
2017-08-29 11:38:16	ga_ls7e_ard_3-0-0_113067_2017-08-29_final
2017-11-03 09:47:02	ga_ls7e_ard_3-0-0_095067_2017-11-03_final
2018-04-28 11:25:48	ga_ls7e_ard_3-0-0_111072_2018-04-28_final
2018-06-20 11:41:27	ga_ls7e_ard_3-0-0_114067_2018-06-20_final
2018-08-18 11:23:24	ga_ls7e_ard_3-0-0_111071_2018-08-18_final
2018-12-08 11:21:37	ga_ls7e_ard_3-0-0_111073_2018-12-08_final
2018-12-29 11:41:09	ga_ls7e_ard_3-0-0_114077_2018-12-29_final
2019-04-22 11:23:53	ga_ls7e_ard_3-0-0_112074_2019-04-22_final
2019-09-22 11:10:27	ga_ls7e_ard_3-1-0_111071_2019-09-22_final
2019-11-14 11:25:07	ga_ls7e_ard_3-1-0_114067_2019-11-14_final
2020-03-16 11:02:18	ga_ls7e_ard_3-1-0_111072_2020-03-16_final
2020-06-13 10:50:30	ga_ls7e_ard_3-1-0_110071_2020-06-13_final
2020-10-19 10:43:14	ga_ls7e_ard_3-1-0_110073_2020-10-19_final
2020-11-25 11:03:14	ga_ls7e_ard_3-1-0_113083_2020-11-25_final
2020-12-13 10:45:09	ga_ls7e_ard_3-1-0_111072_2020-12-13_final
2021-02-17 10:28:01	ga_ls7e_ard_3-2-0_109072_2021-02-17_final
2021-03-08 11:01:02	ga_ls7e_ard_3-2-0_114081_2021-03-08_final
2021-03-16 10:10:34	ga_ls7e_ard_3-2-0_106080_2021-03-16_final
2021-03-20 09:43:32	ga_ls7e_ard_3-2-0_102075_2021-03-20_final
2021-03-24 09:19:41	ga_ls7e_ard_3-2-0_098078_2021-03-23_final
2021-03-25 10:04:27	ga_ls7e_ard_3-2-0_105082_2021-03-25_final
2021-05-07 09:37:33	ga_ls7e_ard_3-2-0_102070_2021-05-07_final
2021-05-18 09:18:05	ga_ls7e_ard_3-2-0_099070_2021-05-17_final
2021-05-24 08:47:16	ga_ls7e_ard_3-2-0_093087_2021-05-23_final
2021-06-23 10:30:26	ga_ls7e_ard_3-2-0_111073_2021-06-23_final
2021-06-29 08:15:58	ga_ls7e_ard_3-2-0_089078_2021-06-28_final
2021-07-04 08:38:29	ga_ls7e_ard_3-2-0_092089_2021-07-03_final
2021-08-10 10:25:54	ga_ls7e_ard_3-2-0_111072_2021-08-10_final
2021-08-16 09:51:05	ga_ls7e_ard_3-2-0_105079_2021-08-16_final
2021-09-01 09:49:42	ga_ls7e_ard_3-2-0_105079_2021-09-01_final
2021-09-27 10:21:17	ga_ls7e_ard_3-2-0_111071_2021-09-27_final
2021-10-02 10:42:10	ga_ls7e_ard_3-2-0_114078_2021-10-02_final
2021-10-20 10:29:01	ga_ls7e_ard_3-2-0_112080_2021-10-20_final
2021-10-27 08:55:17	ga_ls7e_ard_3-2-0_097079_2021-10-26_final
2021-10-27 10:32:10	ga_ls7e_ard_3-2-0_113074_2021-10-27_final
2021-11-20 09:38:02	ga_ls7e_ard_3-2-1_105068_2021-11-20_final
2021-11-27 08:08:39	ga_ls7e_ard_3-2-1_090078_2021-11-26_final
2021-12-26 09:15:03	ga_ls7e_ard_3-2-1_101081_2021-12-25_final
2022-01-06 08:51:25	ga_ls7e_ard_3-2-1_098071_2022-01-05_final
2022-01-19 08:24:53	ga_ls7e_ard_3-2-1_093085_2022-01-18_final
2022-01-24 08:40:09	ga_ls7e_ard_3-2-1_096078_2022-01-23_final
2022-01-24 10:21:25	ga_ls7e_ard_3-2-1_112084_2022-01-24_final
2022-02-06 09:43:38	ga_ls7e_ard_3-2-1_107070_2022-02-06_final
2022-02-06 09:44:02	ga_ls7e_ard_3-2-1_107071_2022-02-06_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