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
2003-04-07 09:17:37	ga_ls7e_ard_3-0-0_091090_2003-04-06_final
2003-07-28 09:17:21	ga_ls7e_ard_3-0-0_091090_2003-07-27_final
2003-08-29 09:17:14	ga_ls7e_ard_3-0-0_091090_2003-08-28_final
2003-08-31 09:04:51	ga_ls7e_ard_3-0-0_089090_2003-08-30_final
2003-12-12 09:11:26	ga_ls7e_ard_3-0-0_090090_2003-12-11_final
2005-05-23 09:12:17	ga_ls7e_ard_3-0-0_090090_2005-05-22_final
2005-07-26 09:12:06	ga_ls7e_ard_3-0-0_090090_2005-07-25_final
2005-08-27 09:11:56	ga_ls7e_ard_3-0-0_090090_2005-08-26_final
2005-10-14 09:11:47	ga_ls7e_ard_3-0-0_090090_2005-10-13_final
2008-05-15 09:12:41	ga_ls7e_ard_3-0-0_090090_2008-05-14_final
2008-05-22 09:18:49	ga_ls7e_ard_3-0-0_091090_2008-05-21_final
2008-05-31 09:12:34	ga_ls7e_ard_3-0-0_090090_2008-05-30_final
2008-06-07 09:18:41	ga_ls7e_ard_3-0-0_091090_2008-06-06_final
2008-06-16 09:12:25	ga_ls7e_ard_3-0-0_090090_2008-06-15_final
2008-06-23 09:18:31	ga_ls7e_ard_3-0-0_091090_2008-06-22_final
2008-07-02 09:12:15	ga_ls7e_ard_3-0-0_090090_2008-07-01_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
2008-07-18 09:12:03	ga_ls7e_ard_3-0-0_090090_2008-07-17_final
2008-07-25 09:18:09	ga_ls7e_ard_3-0-0_091090_2008-07-24_final
2008-08-03 09:11:55	ga_ls7e_ard_3-0-0_090090_2008-08-02_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
2008-08-28 09:05:34	ga_ls7e_ard_3-0-0_089090_2008-08-27_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
2008-09-13 09:05:26	ga_ls7e_ard_3-0-0_089090_2008-09-12_final
2008-09-20 09:11:33	ga_ls7e_ard_3-0-0_090090_2008-09-19_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
2008-10-29 09:17:46	ga_ls7e_ard_3-0-0_091090_2008-10-28_final
2008-11-07 09:11:43	ga_ls7e_ard_3-0-0_090090_2008-11-06_final
2008-11-16 09:05:40	ga_ls7e_ard_3-0-0_089090_2008-11-15_final
2008-11-23 09:11:56	ga_ls7e_ard_3-0-0_090090_2008-11-22_final
2008-11-30 09:18:12	ga_ls7e_ard_3-0-0_091090_2008-11-29_final
2008-12-02 09:05:52	ga_ls7e_ard_3-0-0_089090_2008-12-01_final
2009-01-01 09:18:30	ga_ls7e_ard_3-0-0_091090_2008-12-31_final
2011-12-09 09:22:39	ga_ls7e_ard_3-0-0_091090_2011-12-08_final
2012-01-03 09:16:42	ga_ls7e_ard_3-0-0_090090_2012-01-02_final
2012-02-29 09:10:38	ga_ls7e_ard_3-0-0_089090_2012-02-28_final
2012-03-23 09:16:49	ga_ls7e_ard_3-0-0_090090_2012-03-22_final
2014-11-17 09:14:45	ga_ls7e_ard_3-0-0_089090_2014-11-16_final
2014-12-17 09:27:22	ga_ls7e_ard_3-0-0_091090_2014-12-16_final
2014-12-19 09:15:02	ga_ls7e_ard_3-0-0_089090_2014-12-18_final
2015-01-04 09:15:02	ga_ls7e_ard_3-0-0_089090_2015-01-03_final
2015-01-11 09:21:15	ga_ls7e_ard_3-0-0_090090_2015-01-10_final
2015-01-27 09:21:19	ga_ls7e_ard_3-0-0_090090_2015-01-26_final
2015-05-03 09:22:00	ga_ls7e_ard_3-0-0_090090_2015-05-02_final
2015-06-11 09:28:28	ga_ls7e_ard_3-0-0_091090_2015-06-10_final
2015-06-13 09:16:07	ga_ls7e_ard_3-0-0_089090_2015-06-12_final
2015-06-27 09:28:29	ga_ls7e_ard_3-0-0_091090_2015-06-26_final
2015-07-06 09:22:22	ga_ls7e_ard_3-0-0_090090_2015-07-05_final
2015-07-22 09:22:26	ga_ls7e_ard_3-0-0_090090_2015-07-21_final
2016-05-21 09:25:07	ga_ls7e_ard_3-0-0_090090_2016-05-20_final
2016-06-22 09:25:15	ga_ls7e_ard_3-0-0_090090_2016-06-21_final
2016-07-24 09:25:17	ga_ls7e_ard_3-0-0_090090_2016-07-23_final
2016-08-09 09:25:18	ga_ls7e_ard_3-0-0_090090_2016-08-08_final
2016-08-16 09:31:29	ga_ls7e_ard_3-0-0_091090_2016-08-16_final
2016-08-25 09:25:21	ga_ls7e_ard_3-0-0_090090_2016-08-24_final
2016-09-17 09:31:35	ga_ls7e_ard_3-0-0_091090_2016-09-17_final
2016-09-26 09:25:26	ga_ls7e_ard_3-0-0_090090_2016-09-25_final
2016-10-03 09:31:37	ga_ls7e_ard_3-0-0_091090_2016-10-03_final
2016-10-19 09:31:36	ga_ls7e_ard_3-0-0_091090_2016-10-19_final
2016-10-28 09:25:23	ga_ls7e_ard_3-0-0_090090_2016-10-27_final
2016-11-04 09:31:30	ga_ls7e_ard_3-0-0_091090_2016-11-04_final
2016-11-29 09:25:12	ga_ls7e_ard_3-0-0_090090_2016-11-28_final
2016-12-31 09:25:00	ga_ls7e_ard_3-0-0_090090_2016-12-30_final
2017-01-16 09:24:49	ga_ls7e_ard_3-0-0_090090_2017-01-15_final
2017-05-15 09:31:21	ga_ls7e_ard_3-0-0_091090_2017-05-15_final
2017-06-16 09:31:29	ga_ls7e_ard_3-0-0_091090_2017-06-16_final
2017-06-25 09:25:20	ga_ls7e_ard_3-0-0_090090_2017-06-24_final
2017-11-23 09:31:25	ga_ls7e_ard_3-0-0_091090_2017-11-23_final
2018-01-03 09:24:50	ga_ls7e_ard_3-0-0_090090_2018-01-02_final
2018-01-10 09:30:55	ga_ls7e_ard_3-0-0_091090_2018-01-10_final
2018-01-26 09:30:40	ga_ls7e_ard_3-0-0_091090_2018-01-26_final
2018-02-04 09:24:20	ga_ls7e_ard_3-0-0_090090_2018-02-03_final
2018-02-20 09:24:09	ga_ls7e_ard_3-0-0_090090_2018-02-19_final
2018-03-08 09:23:59	ga_ls7e_ard_3-0-0_090090_2018-03-07_final
2018-04-09 09:23:32	ga_ls7e_ard_3-0-0_090090_2018-04-08_final
2018-04-25 09:23:16	ga_ls7e_ard_3-0-0_090090_2018-04-24_final
2018-05-02 09:29:19	ga_ls7e_ard_3-0-0_091090_2018-05-01_final
2018-05-27 09:22:44	ga_ls7e_ard_3-0-0_090090_2018-05-26_final
2018-06-03 09:28:47	ga_ls7e_ard_3-0-0_091090_2018-06-02_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
2018-07-05 09:28:11	ga_ls7e_ard_3-0-0_091090_2018-07-04_final
2018-07-14 09:21:50	ga_ls7e_ard_3-0-0_090090_2018-07-13_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
2018-09-16 09:20:35	ga_ls7e_ard_3-0-0_090090_2018-09-15_final
2018-10-02 09:20:13	ga_ls7e_ard_3-0-0_090090_2018-10-01_final
2018-10-18 09:19:49	ga_ls7e_ard_3-0-0_090090_2018-10-17_final
2018-11-26 09:25:06	ga_ls7e_ard_3-0-0_091090_2018-11-25_final
2018-12-05 09:18:42	ga_ls7e_ard_3-0-0_090090_2018-12-04_final
2019-03-02 09:22:14	ga_ls7e_ard_3-1-0_091090_2019-03-01_final
2019-04-12 09:14:41	ga_ls7e_ard_3-0-0_090090_2019-04-11_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