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
2013-11-18 09:39:42	ga_ls8c_ard_3-0-0_093082_2013-11-18_final
2013-11-19 10:22:57	ga_ls8c_ard_3-0-0_100082_2013-11-19_final
2013-11-20 09:27:18	ga_ls8c_ard_3-0-0_091082_2013-11-19_final
2013-11-20 11:06:11	ga_ls8c_ard_3-1-0_107082_2013-11-20_final
2013-11-22 09:14:54	ga_ls8c_ard_3-0-0_089082_2013-11-21_final
2013-11-22 10:53:47	ga_ls8c_ard_3-0-0_105082_2013-11-22_final
2013-11-23 09:58:10	ga_ls8c_ard_3-0-0_096082_2013-11-23_final
2013-11-23 11:37:03	ga_ls8c_ard_3-0-0_112082_2013-11-23_final
2013-11-24 10:41:26	ga_ls8c_ard_3-0-0_103082_2013-11-24_final
2013-11-25 09:45:49	ga_ls8c_ard_3-0-0_094082_2013-11-25_final
2013-11-25 11:24:42	ga_ls8c_ard_3-0-0_110082_2013-11-25_final
2013-11-26 08:50:12	ga_ls8c_ard_3-2-1_085082_2013-11-25_final
2013-11-26 10:29:05	ga_ls8c_ard_3-0-0_101082_2013-11-26_final
2014-05-23 10:14:36	ga_ls8c_ard_3-0-0_099082_2014-05-23_final
2014-05-24 09:18:59	ga_ls8c_ard_3-0-0_090082_2014-05-23_final
2014-05-24 09:19:23	ga_ls8c_ard_3-0-0_090083_2014-05-23_final
2014-05-24 10:57:52	ga_ls8c_ard_3-0-0_106082_2014-05-24_final
2014-05-24 10:58:16	ga_ls8c_ard_3-0-0_106083_2014-05-24_final
2014-05-25 10:02:16	ga_ls8c_ard_3-0-0_097082_2014-05-25_final
2014-05-25 11:41:09	ga_ls8c_ard_3-0-0_113082_2014-05-25_final
2014-05-25 11:41:33	ga_ls8c_ard_3-0-0_113083_2014-05-25_final
2014-05-26 09:06:39	ga_ls8c_ard_3-0-0_088082_2014-05-25_final
2014-05-26 10:45:33	ga_ls8c_ard_3-0-0_104082_2014-05-26_final
2014-06-10 10:02:26	ga_ls8c_ard_3-0-0_097082_2014-06-10_final
2014-06-10 10:02:50	ga_ls8c_ard_3-0-0_097083_2014-06-10_final
2014-06-10 11:41:19	ga_ls8c_ard_3-0-0_113082_2014-06-10_final
2014-06-10 11:41:43	ga_ls8c_ard_3-0-0_113083_2014-06-10_final
2014-06-11 09:06:49	ga_ls8c_ard_3-0-0_088082_2014-06-10_final
2014-06-11 10:45:42	ga_ls8c_ard_3-0-0_104082_2014-06-11_final
2014-06-12 09:50:05	ga_ls8c_ard_3-0-0_095082_2014-06-12_final
2014-06-12 11:28:58	ga_ls8c_ard_3-0-0_111082_2014-06-12_final
2014-06-12 11:29:22	ga_ls8c_ard_3-0-0_111083_2014-06-12_final
2014-06-13 10:33:21	ga_ls8c_ard_3-0-0_102082_2014-06-13_final
2016-05-23 09:56:11	ga_ls8c_ard_3-0-0_096082_2016-05-23_final
2016-05-23 09:56:35	ga_ls8c_ard_3-0-0_096083_2016-05-23_final
2016-05-23 11:35:04	ga_ls8c_ard_3-0-0_112082_2016-05-23_final
2016-05-23 11:35:28	ga_ls8c_ard_3-0-0_112083_2016-05-23_final
2016-05-24 10:39:27	ga_ls8c_ard_3-0-0_103082_2016-05-24_final
2016-05-24 10:39:51	ga_ls8c_ard_3-0-0_103083_2016-05-24_final
2016-06-09 10:39:31	ga_ls8c_ard_3-0-0_103082_2016-06-09_final
2016-06-09 10:39:55	ga_ls8c_ard_3-0-0_103083_2016-06-09_final
2016-06-10 09:43:54	ga_ls8c_ard_3-0-0_094082_2016-06-10_final
2016-06-10 09:44:18	ga_ls8c_ard_3-0-0_094083_2016-06-10_final
2016-06-11 10:27:10	ga_ls8c_ard_3-0-0_101082_2016-06-11_final
2016-06-12 09:31:33	ga_ls8c_ard_3-0-0_092082_2016-06-12_final
2016-06-12 09:31:57	ga_ls8c_ard_3-0-0_092083_2016-06-12_final
2016-06-12 11:10:26	ga_ls8c_ard_3-0-0_108082_2016-06-12_final
2016-06-12 11:10:50	ga_ls8c_ard_3-0-0_108083_2016-06-12_final
2016-08-02 10:02:46	ga_ls8c_ard_3-0-0_097082_2016-08-02_final
2016-08-02 11:41:40	ga_ls8c_ard_3-0-0_113082_2016-08-02_final
2016-08-03 09:07:09	ga_ls8c_ard_3-0-0_088082_2016-08-02_final
2016-08-03 10:46:02	ga_ls8c_ard_3-0-0_104082_2016-08-03_final
2016-08-03 10:46:26	ga_ls8c_ard_3-0-0_104083_2016-08-03_final
2016-08-04 09:50:25	ga_ls8c_ard_3-0-0_095082_2016-08-04_final
2016-08-04 09:50:49	ga_ls8c_ard_3-0-0_095083_2016-08-04_final
2016-08-04 11:29:18	ga_ls8c_ard_3-0-0_111082_2016-08-04_final
2016-08-05 10:33:41	ga_ls8c_ard_3-0-0_102082_2016-08-05_final
2016-08-05 10:34:05	ga_ls8c_ard_3-0-0_102083_2016-08-05_final
2016-08-28 10:40:00	ga_ls8c_ard_3-0-0_103082_2016-08-28_final
2016-08-28 10:40:24	ga_ls8c_ard_3-0-0_103083_2016-08-28_final
2016-08-29 09:44:23	ga_ls8c_ard_3-0-0_094082_2016-08-29_final
2016-08-29 11:23:16	ga_ls8c_ard_3-0-0_110082_2016-08-29_final
2016-08-30 10:27:39	ga_ls8c_ard_3-0-0_101082_2016-08-30_final
2016-08-31 09:32:02	ga_ls8c_ard_3-0-0_092082_2016-08-31_final
2016-08-31 11:10:55	ga_ls8c_ard_3-0-0_108082_2016-08-31_final
2016-08-31 11:11:19	ga_ls8c_ard_3-0-0_108083_2016-08-31_final
2016-12-03 09:44:32	ga_ls8c_ard_3-0-0_094082_2016-12-03_final
2016-12-03 09:44:56	ga_ls8c_ard_3-0-0_094083_2016-12-03_final
2016-12-03 11:23:25	ga_ls8c_ard_3-0-0_110082_2016-12-03_final
2016-12-04 10:27:48	ga_ls8c_ard_3-0-0_101082_2016-12-04_final
2016-12-05 09:32:10	ga_ls8c_ard_3-0-0_092082_2016-12-05_final
2016-12-05 11:11:03	ga_ls8c_ard_3-0-0_108082_2016-12-05_final
2016-12-06 10:15:26	ga_ls8c_ard_3-0-0_099082_2016-12-06_final
2016-12-07 09:19:48	ga_ls8c_ard_3-0-0_090082_2016-12-06_final
2016-12-07 10:58:41	ga_ls8c_ard_3-0-0_106082_2016-12-07_final
2017-01-05 10:27:40	ga_ls8c_ard_3-0-0_101082_2017-01-05_final
2017-01-05 10:28:04	ga_ls8c_ard_3-0-0_101083_2017-01-05_final
2017-01-06 09:32:03	ga_ls8c_ard_3-0-0_092082_2017-01-06_final
2017-01-06 11:10:56	ga_ls8c_ard_3-0-0_108082_2017-01-06_final
2017-01-07 10:15:18	ga_ls8c_ard_3-0-0_099082_2017-01-07_final
2017-01-08 09:19:41	ga_ls8c_ard_3-0-0_090082_2017-01-07_final
2017-01-08 10:58:34	ga_ls8c_ard_3-0-0_106082_2017-01-08_final
2017-01-09 10:02:56	ga_ls8c_ard_3-0-0_097082_2017-01-09_final
2017-01-09 11:41:49	ga_ls8c_ard_3-0-0_113082_2017-01-09_final
2017-02-05 09:44:13	ga_ls8c_ard_3-0-0_094082_2017-02-05_final
2017-02-05 11:23:06	ga_ls8c_ard_3-0-0_110082_2017-02-05_final
2017-02-06 10:27:28	ga_ls8c_ard_3-0-0_101082_2017-02-06_final
2017-02-07 09:31:50	ga_ls8c_ard_3-0-0_092082_2017-02-07_final
2017-02-07 11:10:43	ga_ls8c_ard_3-0-0_108082_2017-02-07_final
2017-02-08 10:15:05	ga_ls8c_ard_3-0-0_099082_2017-02-08_final
2017-02-09 09:19:27	ga_ls8c_ard_3-0-0_090082_2017-02-08_final
2017-02-09 10:58:20	ga_ls8c_ard_3-0-0_106082_2017-02-09_final
2017-03-12 10:14:52	ga_ls8c_ard_3-0-0_099082_2017-03-12_final
2017-03-13 09:19:14	ga_ls8c_ard_3-0-0_090082_2017-03-12_final
2017-03-13 10:58:07	ga_ls8c_ard_3-0-0_106082_2017-03-13_final
2017-03-14 10:02:29	ga_ls8c_ard_3-0-0_097082_2017-03-14_final
2017-03-14 11:41:22	ga_ls8c_ard_3-0-0_113082_2017-03-14_final
2017-03-15 09:06:51	ga_ls8c_ard_3-0-0_088082_2017-03-14_final
2017-03-15 10:45:44	ga_ls8c_ard_3-0-0_104082_2017-03-15_final
2017-03-16 09:50:06	ga_ls8c_ard_3-0-0_095082_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