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
2002-03-27 11:41:13	ga_ls7e_ard_3-0-0_115078_2002-03-27_final
2002-04-16 11:14:51	ga_ls7e_ard_3-0-0_111074_2002-04-16_final
2002-05-07 11:35:52	ga_ls7e_ard_3-0-0_114080_2002-05-07_final
2002-05-30 11:40:37	ga_ls7e_ard_3-0-0_115077_2002-05-30_final
2002-12-24 11:39:32	ga_ls7e_ard_3-0-0_115075_2002-12-24_final
2003-02-14 11:14:22	ga_ls7e_ard_3-0-0_111073_2003-02-14_final
2003-12-31 09:41:18	ga_ls7e_ard_3-0-0_095087_2003-12-31_final
2004-01-05 11:33:57	ga_ls7e_ard_3-0-0_114075_2004-01-05_final
2004-01-07 11:21:11	ga_ls7e_ard_3-0-0_112074_2004-01-07_final
2004-01-12 11:40:07	ga_ls7e_ard_3-0-0_115075_2004-01-12_final
2004-01-28 11:40:16	ga_ls7e_ard_3-0-0_115075_2004-01-28_final
2004-02-13 11:41:31	ga_ls7e_ard_3-0-0_115078_2004-02-13_final
2004-08-27 11:13:39	ga_ls7e_ard_3-0-0_111071_2004-08-27_final
2004-10-28 11:27:15	ga_ls7e_ard_3-0-0_113074_2004-10-28_final
2004-10-30 09:35:38	ga_ls7e_ard_3-1-0_095073_2004-10-30_final
2005-01-02 11:15:26	ga_ls7e_ard_3-0-0_111074_2005-01-02_final
2005-06-07 11:40:43	ga_ls7e_ard_3-0-0_115075_2005-06-07_final
2005-07-29 11:19:05	ga_ls7e_ard_3-0-0_111083_2005-07-29_final
2005-09-08 11:11:49	ga_ls7e_ard_3-0-0_110081_2005-09-08_final
2005-09-15 11:14:45	ga_ls7e_ard_3-0-0_111073_2005-09-15_final
2005-10-31 11:31:22	ga_ls7e_ard_3-0-0_113083_2005-10-31_final
2005-12-04 09:36:00	ga_ls7e_ard_3-0-0_095072_2005-12-04_final
2005-12-16 11:42:01	ga_ls7e_ard_3-0-0_115078_2005-12-16_final
2006-01-17 11:41:06	ga_ls7e_ard_3-0-0_115075_2006-01-17_final
2006-02-02 11:42:00	ga_ls7e_ard_3-1-0_115077_2006-02-02_final
2006-03-15 11:37:31	ga_ls7e_ard_3-0-0_114081_2006-03-15_final
2006-05-09 11:41:16	ga_ls7e_ard_3-0-0_115075_2006-05-09_final
2007-01-20 11:42:39	ga_ls7e_ard_3-0-0_115078_2007-01-20_final
2007-06-22 11:37:17	ga_ls7e_ard_3-0-0_114080_2007-06-22_final
2007-07-19 11:15:04	ga_ls7e_ard_3-0-0_111071_2007-07-19_final
2007-08-09 11:37:30	ga_ls7e_ard_3-0-0_114081_2007-08-09_final
2007-10-23 11:15:34	ga_ls7e_ard_3-0-0_111073_2007-10-23_final
2007-12-31 11:37:46	ga_ls7e_ard_3-0-0_114081_2007-12-31_final
2008-05-18 09:41:58	ga_ls7e_ard_3-0-0_095086_2008-05-18_final
2008-12-24 11:42:22	ga_ls7e_ard_3-0-0_115079_2008-12-24_final
2010-02-01 09:38:09	ga_ls7e_ard_3-0-0_095072_2010-02-01_final
2010-05-13 11:39:09	ga_ls7e_ard_3-0-0_114080_2010-05-13_final
2010-05-20 11:42:54	ga_ls7e_ard_3-0-0_115074_2010-05-20_final
2010-10-15 11:18:04	ga_ls7e_ard_3-0-0_111073_2010-10-15_final
2011-01-31 11:45:47	ga_ls7e_ard_3-0-0_115078_2011-01-31_final
2011-02-18 11:32:18	ga_ls7e_ard_3-0-0_113075_2011-02-18_final
2011-04-07 11:34:28	ga_ls7e_ard_3-0-0_113080_2011-04-07_final
2011-04-09 09:40:26	ga_ls7e_ard_3-1-0_095073_2011-04-09_final
2011-10-30 11:45:46	ga_ls7e_ard_3-0-0_115078_2011-10-30_final
2011-11-24 11:35:31	ga_ls7e_ard_3-0-0_114067_2011-11-24_final
2012-02-19 11:46:56	ga_ls7e_ard_3-0-0_115079_2012-02-19_final
2013-01-24 11:21:52	ga_ls7e_ard_3-0-0_111073_2013-01-24_final
2013-06-01 09:42:09	ga_ls7e_ard_3-0-0_095072_2013-06-01_final
2013-06-15 11:37:42	ga_ls7e_ard_3-0-0_113083_2013-06-15_final
2015-05-20 11:41:30	ga_ls7e_ard_3-0-0_113083_2015-05-20_final
2015-07-30 11:41:36	ga_ls7e_ard_3-0-0_114067_2015-07-30_final
2015-12-07 11:36:29	ga_ls7e_ard_3-0-0_112082_2015-12-07_final
2016-05-08 11:28:29	ga_ls7e_ard_3-0-0_111074_2016-05-08_final
2016-07-27 09:53:24	ga_ls7e_ard_3-0-0_095083_2016-07-27_final
2016-09-09 11:55:06	ga_ls7e_ard_3-0-0_115078_2016-09-09_final
2016-09-29 11:28:02	ga_ls7e_ard_3-0-0_111072_2016-09-29_final
2016-10-31 11:28:45	ga_ls7e_ard_3-0-0_111074_2016-10-31_final
2017-05-11 11:27:22	ga_ls7e_ard_3-0-0_111071_2017-05-11_final
2017-06-28 09:54:38	ga_ls7e_ard_3-0-0_095086_2017-06-28_final
2017-06-28 11:27:32	ga_ls7e_ard_3-0-0_111071_2017-06-28_final
2017-11-19 09:49:23	ga_ls7e_ard_3-1-0_095073_2017-11-19_final
2017-12-01 11:54:54	ga_ls7e_ard_3-0-0_115078_2017-12-01_final
2017-12-17 11:53:33	ga_ls7e_ard_3-0-0_115075_2017-12-17_final
2018-04-12 11:25:41	ga_ls7e_ard_3-0-0_111071_2018-04-12_final
2018-11-04 11:32:25	ga_ls7e_ard_3-0-0_113067_2018-11-04_final
2018-11-22 11:21:38	ga_ls7e_ard_3-0-0_111072_2018-11-22_final
2020-01-26 11:15:18	ga_ls7e_ard_3-1-0_113067_2020-01-26_final
2020-02-13 11:04:25	ga_ls7e_ard_3-1-0_111073_2020-02-13_final
2020-08-23 09:19:25	ga_ls7e_ard_3-1-0_095086_2020-08-22_final
2020-09-24 10:50:12	ga_ls7e_ard_3-1-0_111071_2020-09-24_final
2020-10-06 09:37:17	ga_ls7e_ard_3-2-0_099076_2020-10-06_final
2020-10-10 10:54:23	ga_ls7e_ard_3-1-0_111084_2020-10-10_final
2021-02-11 09:25:04	ga_ls7e_ard_3-2-0_099068_2021-02-10_final
2021-03-04 09:47:11	ga_ls7e_ard_3-2-0_102081_2021-03-04_final
2021-03-09 08:26:51	ga_ls7e_ard_3-2-0_089082_2021-03-08_final
2021-03-09 10:03:20	ga_ls7e_ard_3-2-0_105076_2021-03-09_final
2021-04-01 10:07:16	ga_ls7e_ard_3-2-0_106075_2021-04-01_final
2021-05-12 08:20:23	ga_ls7e_ard_3-2-0_089079_2021-05-11_final
2021-05-18 09:21:40	ga_ls7e_ard_3-2-0_099079_2021-05-17_final
2021-06-27 08:31:42	ga_ls7e_ard_3-2-0_091086_2021-06-26_final
2021-07-18 08:40:52	ga_ls7e_ard_3-2-0_094067_2021-07-17_final
2021-07-25 10:31:19	ga_ls7e_ard_3-2-0_111082_2021-07-25_final
2021-07-30 10:47:49	ga_ls7e_ard_3-2-0_114078_2021-07-30_final
2021-08-27 09:32:24	ga_ls7e_ard_3-2-0_102081_2021-08-27_final
2021-09-03 09:37:58	ga_ls7e_ard_3-2-0_103081_2021-09-03_final
2021-09-16 10:44:48	ga_ls7e_ard_3-2-0_114081_2021-09-16_final
2021-10-05 09:35:08	ga_ls7e_ard_3-2-0_103081_2021-10-05_final
2021-10-11 08:52:44	ga_ls7e_ard_3-2-0_097069_2021-10-10_final
2021-10-19 09:46:39	ga_ls7e_ard_3-2-0_105082_2021-10-19_final
2021-11-03 10:38:53	ga_ls7e_ard_3-2-0_114077_2021-11-03_final
2021-11-06 09:28:38	ga_ls7e_ard_3-2-0_103072_2021-11-05_final
2021-12-16 10:15:02	ga_ls7e_ard_3-2-1_111074_2021-12-16_final
2021-12-17 09:22:07	ga_ls7e_ard_3-2-1_102081_2021-12-16_final
2022-01-15 08:49:59	ga_ls7e_ard_3-2-1_097085_2022-01-14_final
2022-02-05 09:00:53	ga_ls7e_ard_3-2-1_100071_2022-02-04_final
2022-02-23 08:49:30	ga_ls7e_ard_3-2-1_098078_2022-02-22_final
2022-02-28 09:04:46	ga_ls7e_ard_3-2-1_101071_2022-02-27_final
2022-03-11 08:43:33	ga_ls7e_ard_3-2-1_098067_2022-03-10_final
2022-03-12 09:27:31	ga_ls7e_ard_3-2-1_105069_2022-03-11_final
2022-03-18 10:31:05	ga_ls7e_ard_3-2-1_115075_2022-03-18_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