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
2000-04-28 11:06:26	ga_ls7e_ard_3-0-0_109075_2000-04-28_final
2001-01-05 11:26:04	ga_ls7e_ard_3-0-0_113067_2001-01-05_final
2001-07-11 11:07:40	ga_ls7e_ard_3-0-0_110070_2001-07-11_final
2001-10-18 11:40:17	ga_ls7e_ard_3-0-0_115077_2001-10-18_final
2002-05-07 11:35:52	ga_ls7e_ard_3-0-0_114080_2002-05-07_final
2003-08-11 11:02:55	ga_ls7e_ard_3-0-0_109076_2003-08-11_final
2004-01-25 11:12:32	ga_ls7e_ard_3-0-0_110083_2004-01-25_final
2004-06-22 11:31:03	ga_ls7e_ard_3-0-0_113083_2004-06-22_final
2004-10-07 11:07:36	ga_ls7e_ard_3-1-0_110072_2004-10-07_final
2004-11-13 11:27:23	ga_ls7e_ard_3-0-0_113074_2004-11-13_final
2004-11-20 11:30:49	ga_ls7e_ard_3-0-0_114067_2004-11-20_final
2005-03-03 11:41:41	ga_ls7e_ard_3-1-0_115077_2005-03-03_final
2005-03-19 11:42:06	ga_ls7e_ard_3-0-0_115078_2005-03-19_final
2005-03-28 11:31:30	ga_ls7e_ard_3-0-0_114067_2005-03-28_final
2005-05-03 11:07:54	ga_ls7e_ard_3-0-0_110070_2005-05-03_final
2005-07-09 11:41:26	ga_ls7e_ard_3-1-0_115077_2005-07-09_final
2005-08-30 11:15:18	ga_ls7e_ard_3-0-0_111074_2005-08-30_final
2005-11-18 11:13:12	ga_ls7e_ard_3-0-0_111068_2005-11-18_final
2006-02-06 11:16:30	ga_ls7e_ard_3-0-0_111075_2006-02-06_final
2006-07-05 11:31:42	ga_ls7e_ard_3-0-0_114067_2006-07-05_final
2006-08-26 11:13:32	ga_ls7e_ard_3-0-0_110084_2006-08-26_final
2006-09-25 11:21:44	ga_ls7e_ard_3-0-0_112074_2006-09-25_final
2006-11-14 11:09:25	ga_ls7e_ard_3-0-0_110073_2006-11-14_final
2006-12-16 11:08:29	ga_ls7e_ard_3-0-0_110070_2006-12-16_final
2007-01-20 11:43:03	ga_ls7e_ard_3-0-0_115079_2007-01-20_final
2007-02-16 11:25:53	ga_ls7e_ard_3-0-0_112082_2007-02-16_final
2007-02-18 11:08:45	ga_ls7e_ard_3-0-0_110070_2007-02-18_final
2007-06-17 11:15:57	ga_ls7e_ard_3-0-0_111073_2007-06-17_final
2007-12-01 11:22:30	ga_ls7e_ard_3-0-0_112074_2007-12-01_final
2007-12-31 11:37:22	ga_ls7e_ard_3-0-0_114080_2007-12-31_final
2008-04-16 11:15:25	ga_ls7e_ard_3-0-0_111072_2008-04-16_final
2008-06-03 11:18:44	ga_ls7e_ard_3-0-0_111081_2008-06-03_final
2009-07-10 11:07:16	ga_ls7e_ard_3-0-0_109082_2009-07-10_final
2009-09-24 11:28:35	ga_ls7e_ard_3-0-0_113074_2009-09-24_final
2010-02-26 11:10:19	ga_ls7e_ard_3-0-0_110070_2010-02-26_final
2010-03-23 11:09:53	ga_ls7e_ard_3-0-0_109084_2010-03-23_final
2010-07-02 11:24:28	ga_ls7e_ard_3-0-0_112074_2010-07-02_final
2011-06-26 11:35:58	ga_ls7e_ard_3-0-0_113084_2011-06-26_final
2011-08-15 11:19:06	ga_ls7e_ard_3-0-0_111073_2011-08-15_final
2011-09-30 11:34:29	ga_ls7e_ard_3-0-0_113081_2011-09-30_final
2014-01-07 11:48:03	ga_ls7e_ard_3-0-0_115076_2014-01-07_final
2014-04-01 11:22:16	ga_ls7e_ard_3-0-0_111072_2014-04-01_final
2014-06-09 11:42:50	ga_ls7e_ard_3-0-0_114076_2014-06-09_final
2015-03-03 11:28:33	ga_ls7e_ard_3-0-0_111083_2015-03-03_final
2015-04-18 11:34:53	ga_ls7e_ard_3-0-0_113067_2015-04-18_final
2015-06-07 11:24:28	ga_ls7e_ard_3-0-0_111071_2015-06-07_final
2015-06-09 11:13:43	ga_ls7e_ard_3-0-0_109075_2015-06-09_final
2015-11-03 11:42:18	ga_ls7e_ard_3-0-0_114067_2015-11-03_final
2015-11-23 11:24:19	ga_ls7e_ard_3-0-0_110083_2015-11-23_final
2016-08-26 11:38:19	ga_ls7e_ard_3-0-0_113067_2016-08-26_final
2016-11-25 11:20:50	ga_ls7e_ard_3-0-0_110070_2016-11-25_final
2016-12-30 11:54:44	ga_ls7e_ard_3-0-0_115078_2016-12-30_final
2017-01-21 11:15:48	ga_ls7e_ard_3-0-0_109074_2017-01-21_final
2017-03-04 11:54:30	ga_ls7e_ard_3-0-0_115078_2017-03-04_final
2017-06-12 11:31:29	ga_ls7e_ard_3-0-0_111081_2017-06-12_final
2017-07-07 11:21:22	ga_ls7e_ard_3-0-0_110071_2017-07-07_final
2017-09-18 11:19:53	ga_ls7e_ard_3-0-0_109083_2017-09-18_final
2017-12-03 11:44:07	ga_ls7e_ard_3-0-0_113082_2017-12-03_final
2017-12-26 11:47:40	ga_ls7e_ard_3-0-0_114076_2017-12-26_final
2018-03-25 11:36:43	ga_ls7e_ard_3-0-0_113067_2018-03-25_final
2019-01-18 11:11:48	ga_ls7e_ard_3-0-0_110067_2019-01-18_final
2019-02-17 11:26:02	ga_ls7e_ard_3-1-0_112074_2019-02-17_final
2019-05-01 11:16:11	ga_ls7e_ard_3-0-0_111071_2019-05-01_final
2019-07-16 11:40:50	ga_ls7e_ard_3-0-0_115078_2019-07-16_final
2019-09-24 11:00:00	ga_ls7e_ard_3-1-0_109076_2019-09-24_final
2019-10-01 11:03:30	ga_ls7e_ard_3-1-0_110070_2019-10-01_final
2020-01-03 11:17:03	ga_ls7e_ard_3-1-0_112084_2020-01-03_final
2020-03-12 11:29:38	ga_ls7e_ard_3-1-0_115078_2020-03-12_final
2020-03-14 11:15:34	ga_ls7e_ard_3-1-0_113074_2020-03-14_final
2020-05-28 10:49:50	ga_ls7e_ard_3-1-0_110067_2020-05-28_final
2020-06-04 10:58:00	ga_ls7e_ard_3-1-0_111073_2020-06-04_final
2020-11-27 10:44:20	ga_ls7e_ard_3-1-0_111067_2020-11-27_final
2020-12-13 09:11:51	ga_ls7e_ard_3-1-0_095086_2020-12-12_final
2020-12-13 10:45:09	ga_ls7e_ard_3-1-0_111072_2020-12-13_final
2020-12-29 10:44:47	ga_ls7e_ard_3-1-0_111074_2020-12-29_final
2021-01-14 10:42:28	ga_ls7e_ard_3-1-0_111071_2021-01-14_final
2021-01-20 10:04:09	ga_ls7e_ard_3-2-0_105069_2021-01-20_final
2021-02-02 09:33:31	ga_ls7e_ard_3-2-0_100072_2021-02-02_final
2021-02-11 11:06:20	ga_ls7e_ard_3-2-0_115074_2021-02-11_final
2021-02-11 11:06:44	ga_ls7e_ard_3-2-0_115075_2021-02-11_final
2021-02-20 09:22:12	ga_ls7e_ard_3-2-0_098078_2021-02-19_final
2021-03-26 09:02:46	ga_ls7e_ard_3-2-0_096067_2021-03-25_final
2021-06-07 10:32:09	ga_ls7e_ard_3-2-0_111074_2021-06-07_final
2021-06-14 10:37:45	ga_ls7e_ard_3-2-0_112074_2021-06-14_final
2021-06-19 09:18:12	ga_ls7e_ard_3-2-0_099077_2021-06-18_final
2021-06-21 09:06:05	ga_ls7e_ard_3-2-0_097078_2021-06-20_final
2021-07-02 08:44:38	ga_ls7e_ard_3-2-0_094073_2021-07-01_final
2021-08-06 09:10:54	ga_ls7e_ard_3-2-0_099069_2021-08-05_final
2021-08-19 10:20:07	ga_ls7e_ard_3-2-0_110075_2021-08-19_final
2021-08-21 08:33:06	ga_ls7e_ard_3-2-0_092086_2021-08-20_final
2021-08-30 08:26:09	ga_ls7e_ard_3-2-0_091086_2021-08-29_final
2021-10-19 09:43:51	ga_ls7e_ard_3-2-0_105075_2021-10-19_final
2021-11-08 09:20:04	ga_ls7e_ard_3-2-0_101082_2021-11-07_final
2021-11-23 10:11:25	ga_ls7e_ard_3-2-1_110075_2021-11-23_final
2021-11-27 08:08:39	ga_ls7e_ard_3-2-1_090078_2021-11-26_final
2021-11-27 09:46:20	ga_ls7e_ard_3-2-1_106075_2021-11-27_final
2021-12-28 10:40:10	ga_ls7e_ard_3-2-1_115078_2021-12-28_final
2022-01-08 10:18:57	ga_ls7e_ard_3-2-1_112074_2022-01-08_final
2022-01-29 08:57:00	ga_ls7e_ard_3-2-1_099075_2022-01-28_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