Search ga_ls8c_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
2013-11-20 11:01:48	ga_ls8c_ard_3-0-0_107071_2013-11-20_final
2013-11-22 10:49:24	ga_ls8c_ard_3-0-0_105071_2013-11-22_final
2014-05-23 10:10:13	ga_ls8c_ard_3-0-0_099071_2014-05-23_final
2014-05-23 10:10:37	ga_ls8c_ard_3-0-0_099072_2014-05-23_final
2014-05-24 10:53:29	ga_ls8c_ard_3-0-0_106071_2014-05-24_final
2014-05-24 10:53:53	ga_ls8c_ard_3-0-0_106072_2014-05-24_final
2014-05-25 09:57:53	ga_ls8c_ard_3-0-0_097071_2014-05-25_final
2014-05-25 09:58:16	ga_ls8c_ard_3-0-0_097072_2014-05-25_final
2014-05-25 11:37:10	ga_ls8c_ard_3-0-0_113072_2014-05-25_final
2014-05-26 10:41:09	ga_ls8c_ard_3-0-0_104071_2014-05-26_final
2014-05-26 10:41:33	ga_ls8c_ard_3-0-0_104072_2014-05-26_final
2014-06-10 09:58:03	ga_ls8c_ard_3-0-0_097071_2014-06-10_final
2014-06-10 09:58:27	ga_ls8c_ard_3-0-0_097072_2014-06-10_final
2014-06-10 11:37:20	ga_ls8c_ard_3-0-0_113072_2014-06-10_final
2014-06-11 10:41:19	ga_ls8c_ard_3-0-0_104071_2014-06-11_final
2014-06-11 10:41:43	ga_ls8c_ard_3-0-0_104072_2014-06-11_final
2014-06-12 09:45:42	ga_ls8c_ard_3-0-0_095071_2014-06-12_final
2014-06-12 09:46:06	ga_ls8c_ard_3-0-0_095072_2014-06-12_final
2014-06-12 11:24:35	ga_ls8c_ard_3-0-0_111071_2014-06-12_final
2014-06-12 11:24:59	ga_ls8c_ard_3-0-0_111072_2014-06-12_final
2014-06-13 10:28:58	ga_ls8c_ard_3-0-0_102071_2014-06-13_final
2014-06-13 10:29:22	ga_ls8c_ard_3-0-0_102072_2014-06-13_final
2016-05-21 10:04:09	ga_ls8c_ard_3-0-0_098071_2016-05-21_final
2016-05-21 10:04:33	ga_ls8c_ard_3-0-0_098072_2016-05-21_final
2016-05-22 10:47:25	ga_ls8c_ard_3-0-0_105071_2016-05-22_final
2016-05-22 10:47:49	ga_ls8c_ard_3-0-0_105072_2016-05-22_final
2016-05-23 09:51:48	ga_ls8c_ard_3-0-0_096071_2016-05-23_final
2016-05-23 09:52:12	ga_ls8c_ard_3-0-0_096072_2016-05-23_final
2016-05-23 11:30:41	ga_ls8c_ard_3-0-0_112071_2016-05-23_final
2016-05-23 11:31:05	ga_ls8c_ard_3-0-0_112072_2016-05-23_final
2016-05-24 10:35:04	ga_ls8c_ard_3-0-0_103071_2016-05-24_final
2016-05-24 10:35:28	ga_ls8c_ard_3-0-0_103072_2016-05-24_final
2016-06-09 10:35:08	ga_ls8c_ard_3-0-0_103071_2016-06-09_final
2016-06-09 10:35:32	ga_ls8c_ard_3-0-0_103072_2016-06-09_final
2016-06-10 09:39:31	ga_ls8c_ard_3-0-0_094071_2016-06-10_final
2016-06-10 09:39:55	ga_ls8c_ard_3-0-0_094072_2016-06-10_final
2016-06-10 11:18:24	ga_ls8c_ard_3-0-0_110071_2016-06-10_final
2016-06-10 11:18:48	ga_ls8c_ard_3-0-0_110072_2016-06-10_final
2016-06-11 10:22:47	ga_ls8c_ard_3-0-0_101071_2016-06-11_final
2016-06-12 09:27:09	ga_ls8c_ard_3-0-0_092071_2016-06-11_final
2016-06-12 09:27:33	ga_ls8c_ard_3-0-0_092072_2016-06-11_final
2016-06-12 11:06:02	ga_ls8c_ard_3-0-0_108071_2016-06-12_final
2016-06-12 11:06:26	ga_ls8c_ard_3-0-0_108072_2016-06-12_final
2016-08-02 09:58:23	ga_ls8c_ard_3-0-0_097071_2016-08-02_final
2016-08-02 09:58:47	ga_ls8c_ard_3-0-0_097072_2016-08-02_final
2016-08-02 11:37:40	ga_ls8c_ard_3-0-0_113072_2016-08-02_final
2016-08-03 10:41:39	ga_ls8c_ard_3-0-0_104071_2016-08-03_final
2016-08-03 10:42:03	ga_ls8c_ard_3-0-0_104072_2016-08-03_final
2016-08-04 09:46:02	ga_ls8c_ard_3-0-0_095071_2016-08-04_final
2016-08-04 09:46:26	ga_ls8c_ard_3-0-0_095072_2016-08-04_final
2016-08-04 11:24:55	ga_ls8c_ard_3-0-0_111071_2016-08-04_final
2016-08-04 11:25:19	ga_ls8c_ard_3-0-0_111072_2016-08-04_final
2016-08-05 10:29:17	ga_ls8c_ard_3-0-0_102071_2016-08-05_final
2016-08-05 10:29:41	ga_ls8c_ard_3-0-0_102072_2016-08-05_final
2016-08-28 10:35:36	ga_ls8c_ard_3-0-0_103071_2016-08-28_final
2016-08-28 10:36:00	ga_ls8c_ard_3-0-0_103072_2016-08-28_final
2016-08-29 09:39:59	ga_ls8c_ard_3-0-0_094071_2016-08-29_final
2016-08-29 09:40:23	ga_ls8c_ard_3-0-0_094072_2016-08-29_final
2016-08-29 11:18:53	ga_ls8c_ard_3-0-0_110071_2016-08-29_final
2016-08-29 11:19:16	ga_ls8c_ard_3-0-0_110072_2016-08-29_final
2016-08-30 10:23:16	ga_ls8c_ard_3-0-0_101071_2016-08-30_final
2016-08-30 10:23:39	ga_ls8c_ard_3-0-0_101072_2016-08-30_final
2016-08-31 09:27:39	ga_ls8c_ard_3-0-0_092071_2016-08-30_final
2016-08-31 09:28:02	ga_ls8c_ard_3-0-0_092072_2016-08-30_final
2016-08-31 11:06:32	ga_ls8c_ard_3-0-0_108071_2016-08-31_final
2016-08-31 11:06:56	ga_ls8c_ard_3-0-0_108072_2016-08-31_final
2016-12-03 09:40:09	ga_ls8c_ard_3-0-0_094071_2016-12-03_final
2016-12-03 11:19:02	ga_ls8c_ard_3-0-0_110071_2016-12-03_final
2016-12-03 11:19:26	ga_ls8c_ard_3-0-0_110072_2016-12-03_final
2016-12-04 10:23:24	ga_ls8c_ard_3-0-0_101071_2016-12-04_final
2016-12-04 10:23:48	ga_ls8c_ard_3-0-0_101072_2016-12-04_final
2016-12-05 09:27:47	ga_ls8c_ard_3-0-0_092071_2016-12-04_final
2016-12-05 11:06:40	ga_ls8c_ard_3-0-0_108071_2016-12-05_final
2016-12-05 11:07:04	ga_ls8c_ard_3-0-0_108072_2016-12-05_final
2016-12-06 10:11:02	ga_ls8c_ard_3-0-0_099071_2016-12-06_final
2016-12-06 10:11:26	ga_ls8c_ard_3-0-0_099072_2016-12-06_final
2016-12-07 10:54:18	ga_ls8c_ard_3-0-0_106071_2016-12-07_final
2017-01-05 10:23:17	ga_ls8c_ard_3-0-0_101071_2017-01-05_final
2017-01-06 09:27:40	ga_ls8c_ard_3-0-0_092071_2017-01-05_final
2017-01-06 11:06:33	ga_ls8c_ard_3-0-0_108071_2017-01-06_final
2017-01-07 10:10:55	ga_ls8c_ard_3-0-0_099071_2017-01-07_final
2017-01-07 10:11:19	ga_ls8c_ard_3-0-0_099072_2017-01-07_final
2017-01-08 10:54:11	ga_ls8c_ard_3-0-0_106071_2017-01-08_final
2017-01-09 09:58:33	ga_ls8c_ard_3-0-0_097071_2017-01-09_final
2017-01-09 11:37:50	ga_ls8c_ard_3-0-0_113072_2017-01-09_final
2017-02-05 09:39:50	ga_ls8c_ard_3-0-0_094071_2017-02-05_final
2017-02-05 09:40:14	ga_ls8c_ard_3-0-0_094072_2017-02-05_final
2017-02-05 11:18:43	ga_ls8c_ard_3-0-0_110071_2017-02-05_final
2017-02-06 10:23:05	ga_ls8c_ard_3-0-0_101071_2017-02-06_final
2017-02-06 10:23:29	ga_ls8c_ard_3-0-0_101072_2017-02-06_final
2017-02-07 09:27:27	ga_ls8c_ard_3-0-0_092071_2017-02-06_final
2017-02-07 09:27:51	ga_ls8c_ard_3-0-0_092072_2017-02-06_final
2017-02-07 11:06:20	ga_ls8c_ard_3-0-0_108071_2017-02-07_final
2017-02-08 10:10:42	ga_ls8c_ard_3-0-0_099071_2017-02-08_final
2017-02-09 10:53:57	ga_ls8c_ard_3-0-0_106071_2017-02-09_final
2017-03-12 10:10:29	ga_ls8c_ard_3-0-0_099071_2017-03-12_final
2017-03-13 10:53:44	ga_ls8c_ard_3-0-0_106071_2017-03-13_final
2017-03-14 09:58:06	ga_ls8c_ard_3-0-0_097071_2017-03-14_final
2017-03-15 10:41:21	ga_ls8c_ard_3-0-0_104071_2017-03-15_final
2017-03-16 09:45:43	ga_ls8c_ard_3-0-0_095071_2017-03-16_final

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years