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
1999-10-30 09:15:34	ga_ls7e_ard_3-0-0_090090_1999-10-29_final
1999-12-17 09:15:38	ga_ls7e_ard_3-0-0_090090_1999-12-16_final
2001-05-19 09:18:43	ga_ls7e_ard_3-0-0_091090_2001-05-18_final
2001-05-26 09:24:52	ga_ls7e_ard_3-0-0_092090_2001-05-25_final
2001-08-23 09:17:40	ga_ls7e_ard_3-0-0_091090_2001-08-22_final
2001-09-10 09:04:41	ga_ls7e_ard_3-0-0_089089_2001-09-09_final
2001-09-10 09:05:05	ga_ls7e_ard_3-0-0_089090_2001-09-09_final
2001-10-19 09:10:35	ga_ls7e_ard_3-0-0_090089_2001-10-18_final
2001-10-19 09:10:59	ga_ls7e_ard_3-0-0_090090_2001-10-18_final
2001-12-29 09:17:30	ga_ls7e_ard_3-0-0_091090_2001-12-28_final
2006-01-25 09:18:49	ga_ls7e_ard_3-0-0_091090_2006-01-24_final
2006-01-27 09:06:28	ga_ls7e_ard_3-0-0_089090_2006-01-26_final
2006-02-19 09:12:45	ga_ls7e_ard_3-0-0_090090_2006-02-18_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
2006-05-19 09:06:35	ga_ls7e_ard_3-0-0_089090_2006-05-18_final
2009-10-18 09:06:41	ga_ls7e_ard_3-0-0_089090_2009-10-17_final
2009-11-10 09:13:14	ga_ls7e_ard_3-0-0_090090_2009-11-09_final
2009-12-05 09:07:20	ga_ls7e_ard_3-0-0_089090_2009-12-04_final
2010-03-09 09:20:58	ga_ls7e_ard_3-0-0_091090_2010-03-08_final
2010-05-30 09:08:38	ga_ls7e_ard_3-0-0_089090_2010-05-29_final
2010-06-06 09:14:49	ga_ls7e_ard_3-0-0_090090_2010-06-05_final
2010-06-15 09:08:38	ga_ls7e_ard_3-0-0_089090_2010-06-14_final
2010-07-08 09:14:54	ga_ls7e_ard_3-0-0_090090_2010-07-07_final
2010-07-24 09:14:55	ga_ls7e_ard_3-0-0_090090_2010-07-23_final
2010-08-09 09:14:53	ga_ls7e_ard_3-0-0_090090_2010-08-08_final
2010-10-21 09:08:57	ga_ls7e_ard_3-0-0_089090_2010-10-20_final
2010-11-13 09:15:23	ga_ls7e_ard_3-0-0_090090_2010-11-12_final
2010-11-22 09:09:19	ga_ls7e_ard_3-0-0_089090_2010-11-21_final
2010-11-29 09:15:34	ga_ls7e_ard_3-0-0_090090_2010-11-28_final
2010-12-15 09:15:42	ga_ls7e_ard_3-0-0_090090_2010-12-14_final
2010-12-22 09:21:56	ga_ls7e_ard_3-0-0_091090_2010-12-21_final
2014-11-15 09:27:07	ga_ls7e_ard_3-0-0_091090_2014-11-14_final
2014-12-26 09:21:13	ga_ls7e_ard_3-0-0_090090_2014-12-25_final
2015-01-02 09:27:23	ga_ls7e_ard_3-0-0_091090_2015-01-01_final
2015-04-17 09:21:55	ga_ls7e_ard_3-0-0_090090_2015-04-16_final
2015-05-03 09:22:00	ga_ls7e_ard_3-0-0_090090_2015-05-02_final
2015-06-04 09:22:14	ga_ls7e_ard_3-0-0_090090_2015-06-03_final
2015-06-20 09:22:18	ga_ls7e_ard_3-0-0_090090_2015-06-19_final
2015-06-29 09:16:08	ga_ls7e_ard_3-0-0_089090_2015-06-28_final
2015-07-06 09:22:22	ga_ls7e_ard_3-0-0_090090_2015-07-05_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
2015-10-10 09:22:47	ga_ls7e_ard_3-0-0_090090_2015-10-09_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
2015-12-29 09:24:02	ga_ls7e_ard_3-0-0_090090_2015-12-28_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
2016-01-21 09:30:34	ga_ls7e_ard_3-0-0_091090_2016-01-21_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
2016-04-12 09:18:45	ga_ls7e_ard_3-0-0_089090_2016-04-11_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
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
2017-06-25 09:25:20	ga_ls7e_ard_3-0-0_090090_2017-06-24_final
2017-07-02 09:31:31	ga_ls7e_ard_3-0-0_091090_2017-07-02_final
2017-07-18 09:31:32	ga_ls7e_ard_3-0-0_091090_2017-07-18_final
2017-07-27 09:25:20	ga_ls7e_ard_3-0-0_090090_2017-07-26_final
2017-08-03 09:31:30	ga_ls7e_ard_3-0-0_091090_2017-08-03_final
2017-08-12 09:25:18	ga_ls7e_ard_3-0-0_090090_2017-08-11_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
2017-10-15 09:25:19	ga_ls7e_ard_3-0-0_090090_2017-10-14_final
2017-10-22 09:31:06	ga_ls7e_ard_3-0-0_091089_2017-10-22_final
2017-11-07 09:31:29	ga_ls7e_ard_3-0-0_091090_2017-11-07_final
2017-11-23 09:31:01	ga_ls7e_ard_3-0-0_091089_2017-11-23_final
2017-11-23 09:31:25	ga_ls7e_ard_3-0-0_091090_2017-11-23_final
2017-12-18 09:25:01	ga_ls7e_ard_3-0-0_090090_2017-12-17_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
2018-01-19 09:24:36	ga_ls7e_ard_3-0-0_090090_2018-01-18_final
2018-01-26 09:30:40	ga_ls7e_ard_3-0-0_091090_2018-01-26_final
2018-02-27 09:30:16	ga_ls7e_ard_3-0-0_091090_2018-02-27_final
2018-03-08 09:23:59	ga_ls7e_ard_3-0-0_090090_2018-03-07_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
2018-06-03 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
2018-10-02 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
2018-11-01 09:31:29	ga_ls7e_ard_3-0-0_092089_2018-11-01_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
2019-01-13 09:23:43	ga_ls7e_ard_3-0-0_091090_2019-01-12_final
2019-04-19 09:20:36	ga_ls7e_ard_3-0-0_091090_2019-04-18_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years