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
2005-11-06 09:18:16	ga_ls7e_ard_3-0-0_091090_2005-11-05_final
2006-02-03 09:12:18	ga_ls7e_ard_3-0-0_090089_2006-02-02_final
2006-02-03 09:12:42	ga_ls7e_ard_3-0-0_090090_2006-02-02_final
2006-04-08 09:12:20	ga_ls7e_ard_3-0-0_090089_2006-04-07_final
2006-04-08 09:12:44	ga_ls7e_ard_3-0-0_090090_2006-04-07_final
2006-05-10 09:12:21	ga_ls7e_ard_3-0-0_090089_2006-05-09_final
2006-05-10 09:12:45	ga_ls7e_ard_3-0-0_090090_2006-05-09_final
2006-06-11 09:12:18	ga_ls7e_ard_3-0-0_090089_2006-06-10_final
2006-06-11 09:12:42	ga_ls7e_ard_3-0-0_090090_2006-06-10_final
2006-07-13 09:12:06	ga_ls7e_ard_3-0-0_090089_2006-07-12_final
2006-07-13 09:12:30	ga_ls7e_ard_3-0-0_090090_2006-07-12_final
2006-09-06 09:18:04	ga_ls7e_ard_3-0-0_091089_2006-09-05_final
2006-09-06 09:18:28	ga_ls7e_ard_3-0-0_091090_2006-09-05_final
2006-09-08 09:05:41	ga_ls7e_ard_3-1-0_089089_2006-09-07_final
2006-10-01 09:11:42	ga_ls7e_ard_3-0-0_090089_2006-09-30_final
2006-10-01 09:12:06	ga_ls7e_ard_3-0-0_090090_2006-09-30_final
2006-11-18 09:12:39	ga_ls7e_ard_3-0-0_090090_2006-11-17_final
2007-01-12 09:18:41	ga_ls7e_ard_3-0-0_091089_2007-01-11_final
2007-01-12 09:19:05	ga_ls7e_ard_3-0-0_091090_2007-01-11_final
2009-09-07 09:12:51	ga_ls7e_ard_3-0-0_090090_2009-09-06_final
2009-09-30 09:18:59	ga_ls7e_ard_3-0-0_091090_2009-09-29_final
2009-10-02 09:06:37	ga_ls7e_ard_3-0-0_089090_2009-10-01_final
2009-10-09 09:12:43	ga_ls7e_ard_3-0-0_090090_2009-10-08_final
2010-01-29 09:14:24	ga_ls7e_ard_3-0-0_090090_2010-01-28_final
2010-02-23 09:08:29	ga_ls7e_ard_3-0-0_089090_2010-02-22_final
2010-03-09 09:20:58	ga_ls7e_ard_3-0-0_091090_2010-03-08_final
2014-04-07 09:13:29	ga_ls7e_ard_3-0-0_089090_2014-04-06_final
2014-04-14 09:19:45	ga_ls7e_ard_3-0-0_090090_2014-04-13_final
2014-04-21 09:26:02	ga_ls7e_ard_3-0-0_091090_2014-04-20_final
2014-04-23 09:13:41	ga_ls7e_ard_3-0-0_089090_2014-04-22_final
2014-05-09 09:13:45	ga_ls7e_ard_3-0-0_089090_2014-05-08_final
2014-05-16 09:20:01	ga_ls7e_ard_3-0-0_090090_2014-05-15_final
2014-05-25 09:13:52	ga_ls7e_ard_3-0-0_089090_2014-05-24_final
2014-06-01 09:20:04	ga_ls7e_ard_3-0-0_090090_2014-05-31_final
2014-06-08 09:26:16	ga_ls7e_ard_3-0-0_091090_2014-06-07_final
2014-06-17 09:20:05	ga_ls7e_ard_3-0-0_090090_2014-06-16_final
2014-06-24 09:26:19	ga_ls7e_ard_3-0-0_091090_2014-06-23_final
2014-06-26 09:13:58	ga_ls7e_ard_3-0-0_089090_2014-06-25_final
2014-07-03 09:20:12	ga_ls7e_ard_3-0-0_090090_2014-07-02_final
2014-07-10 09:26:24	ga_ls7e_ard_3-0-0_091090_2014-07-09_final
2014-07-12 09:14:02	ga_ls7e_ard_3-0-0_089090_2014-07-11_final
2014-07-28 09:14:07	ga_ls7e_ard_3-0-0_089090_2014-07-27_final
2014-08-13 09:14:10	ga_ls7e_ard_3-0-0_089090_2014-08-12_final
2014-08-20 09:20:19	ga_ls7e_ard_3-0-0_090090_2014-08-19_final
2014-08-27 09:26:28	ga_ls7e_ard_3-0-0_091090_2014-08-26_final
2014-08-29 09:14:07	ga_ls7e_ard_3-0-0_089090_2014-08-28_final
2014-09-05 09:20:20	ga_ls7e_ard_3-0-0_090090_2014-09-04_final
2014-09-14 09:14:09	ga_ls7e_ard_3-0-0_089090_2014-09-13_final
2014-09-21 09:20:25	ga_ls7e_ard_3-0-0_090090_2014-09-20_final
2014-09-30 09:14:21	ga_ls7e_ard_3-0-0_089090_2014-09-29_final
2014-10-07 09:20:37	ga_ls7e_ard_3-0-0_090090_2014-10-06_final
2014-10-14 09:26:50	ga_ls7e_ard_3-0-0_091090_2014-10-13_final
2014-10-23 09:20:46	ga_ls7e_ard_3-0-0_090090_2014-10-22_final
2015-02-03 09:27:33	ga_ls7e_ard_3-0-0_091090_2015-02-02_final
2015-03-25 09:15:33	ga_ls7e_ard_3-0-0_089090_2015-03-24_final
2015-06-27 09:28:29	ga_ls7e_ard_3-0-0_091090_2015-06-26_final
2015-09-08 09:22:10	ga_ls7e_ard_3-0-0_090089_2015-09-07_final
2015-09-24 09:22:39	ga_ls7e_ard_3-0-0_090090_2015-09-23_final
2015-10-03 09:16:27	ga_ls7e_ard_3-0-0_089090_2015-10-02_final
2015-10-10 09:22:47	ga_ls7e_ard_3-0-0_090090_2015-10-09_final
2015-10-19 09:16:47	ga_ls7e_ard_3-0-0_089090_2015-10-18_final
2015-10-26 09:23:04	ga_ls7e_ard_3-0-0_090090_2015-10-25_final
2015-11-02 09:29:20	ga_ls7e_ard_3-0-0_091090_2015-11-01_final
2015-11-11 09:23:19	ga_ls7e_ard_3-0-0_090090_2015-11-10_final
2015-11-27 09:23:34	ga_ls7e_ard_3-0-0_090090_2015-11-26_final
2015-12-13 09:23:50	ga_ls7e_ard_3-0-0_090090_2015-12-12_final
2015-12-22 09:17:47	ga_ls7e_ard_3-0-0_089090_2015-12-21_final
2016-01-05 09:30:20	ga_ls7e_ard_3-0-0_091090_2016-01-05_final
2016-01-07 09:18:01	ga_ls7e_ard_3-0-0_089090_2016-01-06_final
2016-01-30 09:24:29	ga_ls7e_ard_3-0-0_090090_2016-01-29_final
2016-03-02 09:24:39	ga_ls7e_ard_3-0-0_090090_2016-03-01_final
2016-03-27 09:18:39	ga_ls7e_ard_3-0-0_089090_2016-03-26_final
2016-04-03 09:24:51	ga_ls7e_ard_3-0-0_090090_2016-04-02_final
2016-04-19 09:24:59	ga_ls7e_ard_3-0-0_090090_2016-04-18_final
2016-04-26 09:31:13	ga_ls7e_ard_3-0-0_091090_2016-04-26_final
2016-05-05 09:25:04	ga_ls7e_ard_3-0-0_090090_2016-05-04_final
2018-01-10 09:30:55	ga_ls7e_ard_3-0-0_091090_2018-01-10_final
2018-01-19 09:24:12	ga_ls7e_ard_3-0-0_090089_2018-01-18_final
2018-01-19 09:24:36	ga_ls7e_ard_3-0-0_090090_2018-01-18_final
2018-02-02 09:36:19	ga_ls7e_ard_3-0-0_092089_2018-02-02_final
2018-02-04 09:23:56	ga_ls7e_ard_3-0-0_090089_2018-02-03_final
2018-02-04 09:24:20	ga_ls7e_ard_3-0-0_090090_2018-02-03_final
2018-02-20 09:23:45	ga_ls7e_ard_3-0-0_090089_2018-02-19_final
2018-02-20 09:24:09	ga_ls7e_ard_3-0-0_090090_2018-02-19_final
2018-04-09 09:23:32	ga_ls7e_ard_3-0-0_090090_2018-04-08_final
2018-05-02 09:28:55	ga_ls7e_ard_3-0-0_091089_2018-05-01_final
2018-05-02 09:29:19	ga_ls7e_ard_3-0-0_091090_2018-05-01_final
2018-05-25 09:34:43	ga_ls7e_ard_3-0-0_092089_2018-05-25_final
2018-05-27 09:22:20	ga_ls7e_ard_3-0-0_090089_2018-05-26_final
2018-05-27 09:22:44	ga_ls7e_ard_3-0-0_090090_2018-05-26_final
2018-06-03 09:28:23	ga_ls7e_ard_3-0-0_091089_2018-06-02_final
2018-06-03 09:28:47	ga_ls7e_ard_3-0-0_091090_2018-06-02_final
2018-06-10 09:34:27	ga_ls7e_ard_3-0-0_092089_2018-06-10_final
2018-06-10 09:34:51	ga_ls7e_ard_3-1-0_092090_2018-06-10_final
2018-06-12 09:22:27	ga_ls7e_ard_3-0-0_090090_2018-06-11_final
2018-06-28 09:22:09	ga_ls7e_ard_3-0-0_090090_2018-06-27_final
2018-07-21 09:27:30	ga_ls7e_ard_3-0-0_091089_2018-07-20_final
2018-07-21 09:27:54	ga_ls7e_ard_3-0-0_091090_2018-07-20_final
2018-07-28 09:33:33	ga_ls7e_ard_3-0-0_092089_2018-07-28_final
2018-07-30 09:21:09	ga_ls7e_ard_3-0-0_090089_2018-07-29_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