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
2004-08-15 09:17:40	ga_ls7e_ard_3-1-0_091090_2004-08-14_final
2005-03-13 09:06:13	ga_ls7e_ard_3-0-0_089090_2005-03-12_final
2005-03-20 09:12:23	ga_ls7e_ard_3-0-0_090090_2005-03-19_final
2005-04-05 09:12:19	ga_ls7e_ard_3-0-0_090090_2005-04-04_final
2005-04-30 09:06:05	ga_ls7e_ard_3-0-0_089090_2005-04-29_final
2005-05-07 09:12:18	ga_ls7e_ard_3-0-0_090090_2005-05-06_final
2005-05-16 09:06:07	ga_ls7e_ard_3-0-0_089090_2005-05-15_final
2005-06-01 09:06:04	ga_ls7e_ard_3-0-0_089090_2005-05-31_final
2005-06-08 09:12:11	ga_ls7e_ard_3-0-0_090090_2005-06-07_final
2005-06-15 09:18:19	ga_ls7e_ard_3-0-0_091090_2005-06-14_final
2005-06-24 09:12:06	ga_ls7e_ard_3-0-0_090090_2005-06-23_final
2005-07-03 09:05:55	ga_ls7e_ard_3-0-0_089090_2005-07-02_final
2005-08-27 09:11:56	ga_ls7e_ard_3-0-0_090090_2005-08-26_final
2005-09-10 09:23:45	ga_ls7e_ard_3-0-0_092089_2005-09-09_final
2005-09-12 09:11:46	ga_ls7e_ard_3-0-0_090090_2005-09-11_final
2005-10-14 09:11:47	ga_ls7e_ard_3-0-0_090090_2005-10-13_final
2005-10-23 09:05:44	ga_ls7e_ard_3-0-0_089090_2005-10-22_final
2005-12-01 09:12:16	ga_ls7e_ard_3-0-0_090090_2005-11-30_final
2005-12-08 09:18:28	ga_ls7e_ard_3-0-0_091090_2005-12-07_final
2006-05-03 09:06:33	ga_ls7e_ard_3-0-0_089090_2006-05-02_final
2008-10-13 09:17:30	ga_ls7e_ard_3-0-0_091090_2008-10-12_final
2008-12-25 09:12:16	ga_ls7e_ard_3-0-0_090090_2008-12-24_final
2010-04-28 09:08:42	ga_ls7e_ard_3-0-0_089090_2010-04-27_final
2010-05-05 09:14:51	ga_ls7e_ard_3-0-0_090090_2010-05-04_final
2010-05-21 09:14:47	ga_ls7e_ard_3-0-0_090090_2010-05-20_final
2010-05-30 09:08:38	ga_ls7e_ard_3-0-0_089090_2010-05-29_final
2010-06-29 09:21:03	ga_ls7e_ard_3-0-0_091090_2010-06-28_final
2010-07-01 09:08:42	ga_ls7e_ard_3-0-0_089090_2010-06-30_final
2010-07-08 09:14:54	ga_ls7e_ard_3-0-0_090090_2010-07-07_final
2010-07-15 09:21:05	ga_ls7e_ard_3-0-0_091090_2010-07-14_final
2010-07-17 09:08:44	ga_ls7e_ard_3-0-0_089090_2010-07-16_final
2010-08-25 09:14:57	ga_ls7e_ard_3-0-0_090090_2010-08-24_final
2010-09-03 09:08:47	ga_ls7e_ard_3-0-0_089090_2010-09-02_final
2010-09-08 09:27:20	ga_ls7e_ard_3-1-0_092090_2010-09-07_final
2010-09-10 09:14:58	ga_ls7e_ard_3-0-0_090090_2010-09-09_final
2010-09-19 09:08:48	ga_ls7e_ard_3-0-0_089090_2010-09-18_final
2010-09-26 09:14:58	ga_ls7e_ard_3-0-0_090090_2010-09-25_final
2010-10-05 09:08:46	ga_ls7e_ard_3-0-0_089090_2010-10-04_final
2010-10-10 09:27:22	ga_ls7e_ard_3-1-0_092090_2010-10-09_final
2010-10-19 09:21:17	ga_ls7e_ard_3-0-0_091090_2010-10-18_final
2010-10-28 09:15:11	ga_ls7e_ard_3-0-0_090090_2010-10-27_final
2010-11-06 09:09:06	ga_ls7e_ard_3-0-0_089090_2010-11-05_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
2010-12-24 09:09:36	ga_ls7e_ard_3-0-0_089090_2010-12-23_final
2010-12-31 09:15:51	ga_ls7e_ard_3-0-0_090090_2010-12-30_final
2011-01-16 09:15:59	ga_ls7e_ard_3-0-0_090090_2011-01-15_final
2016-05-21 09:25:07	ga_ls7e_ard_3-0-0_090090_2016-05-20_final
2016-05-28 09:31:20	ga_ls7e_ard_3-0-0_091090_2016-05-28_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
2016-09-10 09:25:23	ga_ls7e_ard_3-0-0_090090_2016-09-09_final
2016-09-17 09:31:11	ga_ls7e_ard_3-0-0_091089_2016-09-17_final
2016-09-17 09:31:35	ga_ls7e_ard_3-0-0_091090_2016-09-17_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
2016-12-15 09:25:08	ga_ls7e_ard_3-0-0_090090_2016-12-14_final
2016-12-22 09:31:16	ga_ls7e_ard_3-0-0_091090_2016-12-22_final
2016-12-31 09:25:00	ga_ls7e_ard_3-0-0_090090_2016-12-30_final
2019-06-15 09:11:54	ga_ls7e_ard_3-0-0_090089_2019-06-14_final
2019-06-15 09:12:18	ga_ls7e_ard_3-0-0_090090_2019-06-14_final
2019-06-22 09:18:14	ga_ls7e_ard_3-0-0_091090_2019-06-21_final
2019-07-01 09:11:43	ga_ls7e_ard_3-0-0_090090_2019-06-30_final
2019-07-17 09:10:41	ga_ls7e_ard_3-0-0_090089_2019-07-16_final
2019-07-31 09:22:29	ga_ls7e_ard_3-0-0_092089_2019-07-30_final
2019-08-02 09:10:27	ga_ls7e_ard_3-0-0_090090_2019-08-01_final
2019-08-09 09:16:20	ga_ls7e_ard_3-0-0_091090_2019-08-08_final
2019-08-18 09:09:23	ga_ls7e_ard_3-0-0_090089_2019-08-17_final
2019-08-18 09:09:47	ga_ls7e_ard_3-0-0_090090_2019-08-17_final
2019-08-25 09:15:16	ga_ls7e_ard_3-1-0_091089_2019-08-24_final
2019-08-25 09:15:40	ga_ls7e_ard_3-1-0_091090_2019-08-24_final
2019-09-03 09:09:06	ga_ls7e_ard_3-1-0_090090_2019-09-02_final
2019-09-10 09:14:34	ga_ls7e_ard_3-1-0_091089_2019-09-09_final
2019-09-10 09:14:58	ga_ls7e_ard_3-1-0_091090_2019-09-09_final
2019-09-26 09:14:16	ga_ls7e_ard_3-1-0_091090_2019-09-25_final
2019-10-05 09:07:43	ga_ls7e_ard_3-1-0_090090_2019-10-04_final
2019-10-12 09:13:36	ga_ls7e_ard_3-1-0_091090_2019-10-11_final
2019-10-21 09:07:03	ga_ls7e_ard_3-1-0_090090_2019-10-20_final
2019-10-28 09:12:55	ga_ls7e_ard_3-1-0_091090_2019-10-27_final
2019-11-04 09:18:23	ga_ls7e_ard_3-1-0_092089_2019-11-03_final
2019-11-06 09:06:20	ga_ls7e_ard_3-1-0_090090_2019-11-05_final
2019-11-29 09:11:02	ga_ls7e_ard_3-1-0_091089_2019-11-28_final
2019-11-29 09:11:26	ga_ls7e_ard_3-1-0_091090_2019-11-28_final
2019-12-06 09:16:53	ga_ls7e_ard_3-1-0_092089_2019-12-05_final
2019-12-08 09:04:49	ga_ls7e_ard_3-1-0_090090_2019-12-07_final
2019-12-22 09:16:04	ga_ls7e_ard_3-1-0_092089_2019-12-21_final
2019-12-24 09:03:36	ga_ls7e_ard_3-1-0_090089_2019-12-23_final
2019-12-24 09:04:00	ga_ls7e_ard_3-1-0_090090_2019-12-23_final
2019-12-31 09:09:25	ga_ls7e_ard_3-1-0_091089_2019-12-30_final
2019-12-31 09:09:49	ga_ls7e_ard_3-1-0_091090_2019-12-30_final
2020-01-09 09:02:46	ga_ls7e_ard_3-1-0_090089_2020-01-08_final
2020-01-09 09:03:10	ga_ls7e_ard_3-1-0_090090_2020-01-08_final
2020-01-16 09:08:37	ga_ls7e_ard_3-1-0_091089_2020-01-15_final
2020-01-25 09:02:23	ga_ls7e_ard_3-1-0_090090_2020-01-24_final
2020-02-08 09:13:38	ga_ls7e_ard_3-1-0_092089_2020-02-07_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