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
2006-07-22 09:06:14	ga_ls7e_ard_3-0-0_089090_2006-07-21_final
2006-08-23 09:06:09	ga_ls7e_ard_3-0-0_089090_2006-08-22_final
2006-10-26 09:06:10	ga_ls7e_ard_3-0-0_089090_2006-10-25_final
2006-11-11 09:06:23	ga_ls7e_ard_3-0-0_089090_2006-11-10_final
2006-12-11 09:19:01	ga_ls7e_ard_3-0-0_091090_2006-12-10_final
2006-12-13 09:06:40	ga_ls7e_ard_3-0-0_089090_2006-12-12_final
2007-01-14 09:06:43	ga_ls7e_ard_3-0-0_089090_2007-01-13_final
2007-02-06 09:13:04	ga_ls7e_ard_3-0-0_090090_2007-02-05_final
2008-06-23 09:18:31	ga_ls7e_ard_3-0-0_091090_2008-06-22_final
2008-07-09 09:18:20	ga_ls7e_ard_3-0-0_091090_2008-07-08_final
2008-07-11 09:05:57	ga_ls7e_ard_3-0-0_089090_2008-07-10_final
2008-08-10 09:18:04	ga_ls7e_ard_3-0-0_091090_2008-08-09_final
2008-08-12 09:05:41	ga_ls7e_ard_3-0-0_089090_2008-08-11_final
2008-08-19 09:11:49	ga_ls7e_ard_3-0-0_090090_2008-08-18_final
2008-09-04 09:11:42	ga_ls7e_ard_3-0-0_090090_2008-09-03_final
2008-09-11 09:17:49	ga_ls7e_ard_3-0-0_091090_2008-09-10_final
2008-09-27 09:17:39	ga_ls7e_ard_3-0-0_091090_2008-09-26_final
2008-09-29 09:05:17	ga_ls7e_ard_3-0-0_089090_2008-09-28_final
2008-10-06 09:11:23	ga_ls7e_ard_3-0-0_090090_2008-10-05_final
2008-11-07 09:11:43	ga_ls7e_ard_3-0-0_090090_2008-11-06_final
2008-11-30 09:18:12	ga_ls7e_ard_3-0-0_091090_2008-11-29_final
2012-05-19 09:11:12	ga_ls7e_ard_3-0-0_089090_2012-05-18_final
2012-09-06 09:24:14	ga_ls7e_ard_3-0-0_091090_2012-09-05_final
2012-09-08 09:11:53	ga_ls7e_ard_3-0-0_089090_2012-09-07_final
2012-09-22 09:24:22	ga_ls7e_ard_3-0-0_091090_2012-09-21_final
2012-09-24 09:12:02	ga_ls7e_ard_3-0-0_089090_2012-09-23_final
2012-11-11 09:12:24	ga_ls7e_ard_3-0-0_089090_2012-11-10_final
2013-08-08 09:24:05	ga_ls7e_ard_3-0-0_091090_2013-08-07_final
2013-08-10 09:11:42	ga_ls7e_ard_3-0-0_089090_2013-08-09_final
2013-09-02 09:18:11	ga_ls7e_ard_3-0-0_090090_2013-09-01_final
2013-09-11 09:12:07	ga_ls7e_ard_3-0-0_089090_2013-09-10_final
2013-09-27 09:12:16	ga_ls7e_ard_3-0-0_089090_2013-09-26_final
2013-10-13 09:12:29	ga_ls7e_ard_3-0-0_089090_2013-10-12_final
2013-10-20 09:18:44	ga_ls7e_ard_3-0-0_090090_2013-10-19_final
2013-10-29 09:12:34	ga_ls7e_ard_3-0-0_089090_2013-10-28_final
2013-11-05 09:18:48	ga_ls7e_ard_3-0-0_090090_2013-11-04_final
2013-11-12 09:25:03	ga_ls7e_ard_3-0-0_091090_2013-11-11_final
2013-12-16 09:12:50	ga_ls7e_ard_3-0-0_089090_2013-12-15_final
2014-01-24 09:19:26	ga_ls7e_ard_3-0-0_090090_2014-01-23_final
2014-01-31 09:25:43	ga_ls7e_ard_3-0-0_091090_2014-01-30_final
2014-02-02 09:13:23	ga_ls7e_ard_3-0-0_089090_2014-02-01_final
2014-02-16 09:25:37	ga_ls7e_ard_3-0-0_091090_2014-02-15_final
2014-02-18 09:13:13	ga_ls7e_ard_3-0-0_089090_2014-02-17_final
2014-02-25 09:19:24	ga_ls7e_ard_3-0-0_090090_2014-02-24_final
2014-03-04 09:25:38	ga_ls7e_ard_3-0-0_091090_2014-03-03_final
2014-03-13 09:19:31	ga_ls7e_ard_3-0-0_090090_2014-03-12_final
2014-03-20 09:25:46	ga_ls7e_ard_3-0-0_091090_2014-03-19_final
2014-11-15 09:27:07	ga_ls7e_ard_3-0-0_091090_2014-11-14_final
2015-05-12 09:15:55	ga_ls7e_ard_3-0-0_089090_2015-05-11_final
2015-06-20 09:22:18	ga_ls7e_ard_3-0-0_090090_2015-06-19_final
2015-07-29 09:28:37	ga_ls7e_ard_3-0-0_091090_2015-07-28_final
2015-07-31 09:16:17	ga_ls7e_ard_3-0-0_089090_2015-07-30_final
2017-03-21 09:24:53	ga_ls7e_ard_3-0-0_090090_2017-03-20_final
2017-04-06 09:24:57	ga_ls7e_ard_3-0-0_090090_2017-04-05_final
2017-04-13 09:31:12	ga_ls7e_ard_3-0-0_091090_2017-04-13_final
2017-04-29 09:31:18	ga_ls7e_ard_3-0-0_091090_2017-04-29_final
2017-06-09 09:25:17	ga_ls7e_ard_3-0-0_090090_2017-06-08_final
2017-07-18 09:31:32	ga_ls7e_ard_3-0-0_091090_2017-07-18_final
2017-08-03 09:31:30	ga_ls7e_ard_3-0-0_091090_2017-08-03_final
2017-08-19 09:31:28	ga_ls7e_ard_3-0-0_091090_2017-08-19_final
2017-08-28 09:25:18	ga_ls7e_ard_3-0-0_090090_2017-08-27_final
2017-09-20 09:31:26	ga_ls7e_ard_3-0-0_091090_2017-09-20_final
2017-09-29 09:25:17	ga_ls7e_ard_3-0-0_090090_2017-09-28_final
2017-10-31 09:25:19	ga_ls7e_ard_3-0-0_090090_2017-10-30_final
2017-11-07 09:31:29	ga_ls7e_ard_3-0-0_091090_2017-11-07_final
2018-01-10 09:30:55	ga_ls7e_ard_3-0-0_091090_2018-01-10_final
2018-01-19 09:24:36	ga_ls7e_ard_3-0-0_090090_2018-01-18_final
2018-02-20 09:24:09	ga_ls7e_ard_3-0-0_090090_2018-02-19_final
2018-04-16 09:29:36	ga_ls7e_ard_3-0-0_091090_2018-04-15_final
2018-05-27 09:22:44	ga_ls7e_ard_3-0-0_090090_2018-05-26_final
2018-06-12 09:22:27	ga_ls7e_ard_3-0-0_090090_2018-06-11_final
2018-06-19 09:28:30	ga_ls7e_ard_3-0-0_091090_2018-06-18_final
2018-06-28 09:22:09	ga_ls7e_ard_3-0-0_090090_2018-06-27_final
2018-07-21 09:27:54	ga_ls7e_ard_3-0-0_091090_2018-07-20_final
2018-07-30 09:21:33	ga_ls7e_ard_3-0-0_090090_2018-07-29_final
2018-08-15 09:21:16	ga_ls7e_ard_3-0-0_090090_2018-08-14_final
2018-08-22 09:27:18	ga_ls7e_ard_3-0-0_091090_2018-08-21_final
2021-05-10 08:37:18	ga_ls7e_ard_3-2-0_091090_2021-05-09_final
2021-06-04 08:28:59	ga_ls7e_ard_3-2-0_090090_2021-06-03_final
2021-06-11 08:34:36	ga_ls7e_ard_3-2-0_091090_2021-06-10_final
2021-06-20 08:27:41	ga_ls7e_ard_3-2-0_090090_2021-06-19_final
2021-07-13 08:31:56	ga_ls7e_ard_3-2-0_091090_2021-07-12_final
2021-07-22 08:24:59	ga_ls7e_ard_3-2-0_090090_2021-07-21_final
2021-07-29 08:30:33	ga_ls7e_ard_3-2-0_091090_2021-07-28_final
2021-08-14 08:29:08	ga_ls7e_ard_3-2-0_091090_2021-08-13_final
2021-08-30 08:27:45	ga_ls7e_ard_3-2-0_091090_2021-08-29_final
2021-09-08 08:20:47	ga_ls7e_ard_3-2-0_090090_2021-09-07_final
2021-09-24 08:19:22	ga_ls7e_ard_3-2-0_090090_2021-09-23_final
2021-10-10 08:17:57	ga_ls7e_ard_3-2-0_090090_2021-10-09_final
2021-10-26 08:16:30	ga_ls7e_ard_3-2-0_090090_2021-10-25_final
2021-11-02 08:22:02	ga_ls7e_ard_3-2-0_091090_2021-11-01_final
2021-11-27 08:13:27	ga_ls7e_ard_3-2-1_090090_2021-11-26_final
2022-01-21 08:14:20	ga_ls7e_ard_3-2-1_091090_2022-01-20_final
2022-01-30 08:07:16	ga_ls7e_ard_3-2-1_090090_2022-01-29_final
2022-02-06 08:12:44	ga_ls7e_ard_3-2-1_091090_2022-02-05_final
2022-02-15 08:05:37	ga_ls7e_ard_3-2-1_090090_2022-02-14_final
2022-02-22 08:11:08	ga_ls7e_ard_3-2-1_091090_2022-02-21_final
2022-03-03 08:04:05	ga_ls7e_ard_3-2-1_090090_2022-03-02_final
2022-03-19 08:02:29	ga_ls7e_ard_3-2-1_090090_2022-03-18_final
2022-03-26 08:08:01	ga_ls7e_ard_3-2-1_091090_2022-03-25_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