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
2000-04-04 10:15:56	ga_ls7e_ard_3-1-0_101072_2000-04-04_final
2001-07-12 10:12:51	ga_ls7e_ard_3-0-0_101072_2001-07-12_final
2004-09-06 10:12:11	ga_ls7e_ard_3-1-0_101072_2004-09-06_final
2005-05-20 10:13:05	ga_ls7e_ard_3-1-0_101072_2005-05-20_final
2006-04-21 10:13:29	ga_ls7e_ard_3-1-0_101072_2006-04-21_final
2006-06-24 10:13:26	ga_ls7e_ard_3-1-0_101072_2006-06-24_final
2006-10-14 10:12:56	ga_ls7e_ard_3-0-0_101072_2006-10-14_final
2007-05-10 10:13:53	ga_ls7e_ard_3-1-0_101072_2007-05-10_final
2007-06-27 10:13:44	ga_ls7e_ard_3-1-0_101072_2007-06-27_final
2008-09-01 10:12:31	ga_ls7e_ard_3-1-0_101072_2008-09-01_final
2009-06-16 10:13:54	ga_ls7e_ard_3-1-0_101072_2009-06-16_final
2009-07-02 10:13:52	ga_ls7e_ard_3-1-0_101072_2009-07-02_final
2010-06-03 10:15:37	ga_ls7e_ard_3-1-0_101072_2010-06-03_final
2010-08-06 10:15:42	ga_ls7e_ard_3-1-0_101072_2010-08-06_final
2010-10-25 10:15:57	ga_ls7e_ard_3-1-0_101072_2010-10-25_final
2011-01-29 10:16:52	ga_ls7e_ard_3-1-0_101072_2011-01-29_final
2012-02-17 10:17:37	ga_ls7e_ard_3-0-0_101072_2012-02-17_final
2012-03-04 10:17:35	ga_ls7e_ard_3-0-0_101072_2012-03-04_final
2012-03-20 10:17:37	ga_ls7e_ard_3-0-0_101072_2012-03-20_final
2012-05-23 10:18:07	ga_ls7e_ard_3-0-0_101072_2012-05-23_final
2012-08-11 10:18:34	ga_ls7e_ard_3-0-0_101072_2012-08-11_final
2012-09-12 10:18:54	ga_ls7e_ard_3-0-0_101072_2012-09-12_final
2013-03-07 10:19:38	ga_ls7e_ard_3-1-0_101072_2013-03-07_final
2013-03-23 10:19:33	ga_ls7e_ard_3-1-0_101072_2013-03-23_final
2013-06-27 10:19:03	ga_ls7e_ard_3-1-0_101072_2013-06-27_final
2014-02-22 10:20:11	ga_ls7e_ard_3-1-0_101072_2014-02-22_final
2014-04-11 10:20:30	ga_ls7e_ard_3-1-0_101072_2014-04-11_final
2014-05-13 10:20:47	ga_ls7e_ard_3-1-0_101072_2014-05-13_final
2014-05-29 10:20:51	ga_ls7e_ard_3-1-0_101072_2014-05-29_final
2014-06-14 10:20:53	ga_ls7e_ard_3-1-0_101072_2014-06-14_final
2014-06-30 10:20:59	ga_ls7e_ard_3-1-0_101072_2014-06-30_final
2015-03-13 10:22:24	ga_ls7e_ard_3-0-0_101072_2015-03-13_final
2015-04-14 10:22:42	ga_ls7e_ard_3-0-0_101072_2015-04-14_final
2015-04-30 10:22:47	ga_ls7e_ard_3-1-0_101072_2015-04-30_final
2015-06-17 10:23:06	ga_ls7e_ard_3-0-0_101072_2015-06-17_final
2015-08-20 10:23:20	ga_ls7e_ard_3-0-0_101072_2015-08-20_final
2015-10-23 10:23:49	ga_ls7e_ard_3-1-0_101072_2015-10-23_final
2015-12-10 10:24:34	ga_ls7e_ard_3-0-0_101072_2015-12-10_final
2016-05-18 10:25:53	ga_ls7e_ard_3-1-0_101072_2016-05-18_final
2017-06-06 10:26:04	ga_ls7e_ard_3-1-0_101072_2017-06-06_final
2017-09-10 10:26:05	ga_ls7e_ard_3-1-0_101072_2017-09-10_final
2017-10-12 10:26:06	ga_ls7e_ard_3-1-0_101072_2017-10-12_final
2018-10-31 10:20:20	ga_ls7e_ard_3-1-0_101072_2018-10-31_final
2018-12-02 10:19:34	ga_ls7e_ard_3-1-0_101072_2018-12-02_final
2019-01-19 10:18:09	ga_ls7e_ard_3-1-0_101072_2019-01-19_final
2019-02-20 10:17:10	ga_ls7e_ard_3-1-0_101072_2019-02-20_final
2019-03-08 10:16:40	ga_ls7e_ard_3-1-0_101072_2019-03-08_final
2019-06-12 10:13:13	ga_ls7e_ard_3-1-0_101072_2019-06-12_final
2019-08-31 10:10:02	ga_ls7e_ard_3-1-0_101072_2019-08-31_final
2019-09-16 10:09:19	ga_ls7e_ard_3-1-0_101072_2019-09-16_final
2019-10-02 10:08:38	ga_ls7e_ard_3-1-0_101072_2019-10-02_final
2019-10-18 10:07:58	ga_ls7e_ard_3-1-0_101072_2019-10-18_final
2019-11-03 10:07:16	ga_ls7e_ard_3-1-0_101072_2019-11-03_final
2019-11-19 10:06:32	ga_ls7e_ard_3-1-0_101072_2019-11-19_final
2019-12-05 10:05:46	ga_ls7e_ard_3-1-0_101072_2019-12-05_final
2019-12-21 10:04:57	ga_ls7e_ard_3-1-0_101072_2019-12-21_final
2020-01-06 10:04:07	ga_ls7e_ard_3-1-0_101072_2020-01-06_final
2020-01-22 10:03:20	ga_ls7e_ard_3-1-0_101072_2020-01-22_final
2020-02-07 10:02:32	ga_ls7e_ard_3-1-0_101072_2020-02-07_final
2020-02-23 10:01:42	ga_ls7e_ard_3-1-0_101072_2020-02-23_final
2020-03-10 10:00:50	ga_ls7e_ard_3-1-0_101072_2020-03-10_final
2020-03-26 09:59:57	ga_ls7e_ard_3-1-0_101072_2020-03-26_final
2020-04-11 09:59:02	ga_ls7e_ard_3-1-0_101072_2020-04-11_final
2020-04-27 09:58:06	ga_ls7e_ard_3-1-0_101072_2020-04-27_final
2020-05-13 09:57:08	ga_ls7e_ard_3-1-0_101072_2020-05-13_final
2020-06-14 09:55:13	ga_ls7e_ard_3-1-0_101072_2020-06-14_final
2020-06-30 09:54:16	ga_ls7e_ard_3-1-0_101072_2020-06-30_final
2020-07-16 09:53:18	ga_ls7e_ard_3-1-0_101072_2020-07-16_final
2020-08-01 09:52:19	ga_ls7e_ard_3-1-0_101072_2020-08-01_final
2020-08-17 09:51:18	ga_ls7e_ard_3-1-0_101072_2020-08-17_final
2020-09-02 09:50:16	ga_ls7e_ard_3-1-0_101072_2020-09-02_final
2020-09-18 09:49:12	ga_ls7e_ard_3-1-0_101072_2020-09-18_final
2020-10-04 09:48:11	ga_ls7e_ard_3-1-0_101072_2020-10-04_final
2020-10-20 09:47:09	ga_ls7e_ard_3-1-0_101072_2020-10-20_final
2020-11-05 09:46:05	ga_ls7e_ard_3-1-0_101072_2020-11-05_final
2020-11-21 09:44:58	ga_ls7e_ard_3-1-0_101072_2020-11-21_final
2020-12-07 09:43:48	ga_ls7e_ard_3-1-0_101072_2020-12-07_final
2020-12-23 09:42:35	ga_ls7e_ard_3-1-0_101072_2020-12-23_final
2021-01-08 09:41:29	ga_ls7e_ard_3-1-0_101072_2021-01-08_final
2021-01-24 09:40:21	ga_ls7e_ard_3-2-0_101072_2021-01-24_final
2021-02-25 09:37:58	ga_ls7e_ard_3-2-0_101072_2021-02-25_final
2021-03-13 09:36:43	ga_ls7e_ard_3-2-0_101072_2021-03-13_final
2021-03-29 09:35:25	ga_ls7e_ard_3-2-0_101072_2021-03-29_final
2021-04-14 09:34:06	ga_ls7e_ard_3-2-0_101072_2021-04-14_final
2021-04-30 09:32:45	ga_ls7e_ard_3-2-0_101072_2021-04-30_final
2021-05-16 09:31:24	ga_ls7e_ard_3-2-0_101072_2021-05-16_final
2021-06-17 09:28:44	ga_ls7e_ard_3-2-0_101072_2021-06-16_final
2021-07-03 09:27:24	ga_ls7e_ard_3-2-0_101072_2021-07-02_final
2021-07-19 09:26:02	ga_ls7e_ard_3-2-0_101072_2021-07-18_final
2021-08-04 09:24:38	ga_ls7e_ard_3-2-0_101072_2021-08-03_final
2021-08-20 09:23:13	ga_ls7e_ard_3-2-0_101072_2021-08-19_final
2021-09-05 09:21:51	ga_ls7e_ard_3-2-0_101072_2021-09-04_final
2021-09-21 09:20:25	ga_ls7e_ard_3-2-0_101072_2021-09-20_final
2021-10-07 09:19:00	ga_ls7e_ard_3-2-0_101072_2021-10-06_final
2021-10-23 09:17:34	ga_ls7e_ard_3-2-0_101072_2021-10-22_final
2021-11-08 09:16:05	ga_ls7e_ard_3-2-0_101072_2021-11-07_final
2021-12-10 09:13:01	ga_ls7e_ard_3-2-1_101072_2021-12-09_final
2022-01-11 09:09:53	ga_ls7e_ard_3-2-1_101072_2022-01-10_final
2022-02-12 09:06:44	ga_ls7e_ard_3-2-1_101072_2022-02-11_final
2022-02-28 09:05:10	ga_ls7e_ard_3-2-1_101072_2022-02-27_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