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
2013-03-31 09:35:26	ga_ls8c_ard_3-0-0_092083_2013-03-31_final
2013-04-01 10:14:01	ga_ls8c_ard_3-0-0_099083_2013-04-01_final
2013-07-01 10:54:10	ga_ls8c_ard_3-0-0_105082_2013-07-01_final
2013-07-02 09:58:33	ga_ls8c_ard_3-0-0_096082_2013-07-02_final
2013-07-02 09:58:57	ga_ls8c_ard_3-0-0_096083_2013-07-02_final
2013-07-02 11:37:50	ga_ls8c_ard_3-0-0_112083_2013-07-02_final
2013-07-03 10:41:49	ga_ls8c_ard_3-0-0_103082_2013-07-03_final
2013-07-04 09:46:35	ga_ls8c_ard_3-0-0_094083_2013-07-04_final
2013-07-04 11:25:05	ga_ls8c_ard_3-0-0_110082_2013-07-04_final
2013-07-04 11:25:29	ga_ls8c_ard_3-0-0_110083_2013-07-04_final
2013-08-21 09:46:39	ga_ls8c_ard_3-0-0_094083_2013-08-21_final
2013-08-21 11:25:32	ga_ls8c_ard_3-0-0_110083_2013-08-21_final
2013-08-22 08:50:38	ga_ls8c_ard_3-2-1_085082_2013-08-21_final
2013-08-22 10:29:55	ga_ls8c_ard_3-0-0_101083_2013-08-22_final
2013-08-23 09:33:54	ga_ls8c_ard_3-0-0_092082_2013-08-23_final
2013-08-23 09:34:18	ga_ls8c_ard_3-0-0_092083_2013-08-23_final
2013-08-23 11:13:11	ga_ls8c_ard_3-0-0_108083_2013-08-23_final
2013-08-24 10:17:33	ga_ls8c_ard_3-0-0_099083_2013-08-24_final
2013-09-14 10:35:38	ga_ls8c_ard_3-0-0_102082_2013-09-14_final
2013-09-15 09:40:25	ga_ls8c_ard_3-0-0_093083_2013-09-15_final
2018-02-23 10:39:59	ga_ls8c_ard_3-0-0_103083_2018-02-23_final
2018-02-24 09:44:21	ga_ls8c_ard_3-0-0_094083_2018-02-24_final
2018-02-24 11:23:14	ga_ls8c_ard_3-0-0_110083_2018-02-24_final
2018-02-25 10:27:37	ga_ls8c_ard_3-0-0_101083_2018-02-25_final
2018-02-26 09:31:59	ga_ls8c_ard_3-0-0_092083_2018-02-26_final
2018-02-26 11:10:52	ga_ls8c_ard_3-0-0_108083_2018-02-26_final
2018-03-11 10:39:51	ga_ls8c_ard_3-0-0_103083_2018-03-11_final
2018-03-12 09:43:49	ga_ls8c_ard_3-0-0_094082_2018-03-12_final
2018-03-12 09:44:13	ga_ls8c_ard_3-0-0_094083_2018-03-12_final
2018-03-12 11:23:06	ga_ls8c_ard_3-0-0_110083_2018-03-12_final
2018-03-13 10:27:28	ga_ls8c_ard_3-0-0_101083_2018-03-13_final
2018-03-14 09:31:50	ga_ls8c_ard_3-0-0_092083_2018-03-14_final
2018-03-14 11:10:43	ga_ls8c_ard_3-0-0_108083_2018-03-14_final
2018-05-17 09:31:15	ga_ls8c_ard_3-0-0_092083_2018-05-17_final
2018-05-17 11:10:08	ga_ls8c_ard_3-0-0_108083_2018-05-17_final
2018-07-01 10:38:53	ga_ls8c_ard_3-0-0_103082_2018-07-01_final
2018-07-01 10:39:17	ga_ls8c_ard_3-0-0_103083_2018-07-01_final
2018-07-02 09:43:17	ga_ls8c_ard_3-0-0_094082_2018-07-02_final
2018-07-02 09:43:41	ga_ls8c_ard_3-0-0_094083_2018-07-02_final
2018-07-02 11:22:10	ga_ls8c_ard_3-0-0_110082_2018-07-02_final
2018-07-02 11:22:34	ga_ls8c_ard_3-0-0_110083_2018-07-02_final
2018-07-03 10:26:33	ga_ls8c_ard_3-0-0_101082_2018-07-03_final
2018-07-03 10:26:57	ga_ls8c_ard_3-0-0_101083_2018-07-03_final
2018-07-04 09:30:56	ga_ls8c_ard_3-0-0_092082_2018-07-04_final
2018-07-04 09:31:20	ga_ls8c_ard_3-0-0_092083_2018-07-04_final
2018-07-04 11:09:49	ga_ls8c_ard_3-0-0_108082_2018-07-04_final
2018-07-04 11:10:13	ga_ls8c_ard_3-0-0_108083_2018-07-04_final
2019-07-04 10:39:45	ga_ls8c_ard_3-1-0_103082_2019-07-04_final
2019-07-04 10:40:09	ga_ls8c_ard_3-1-0_103083_2019-07-04_final
2019-07-05 09:44:08	ga_ls8c_ard_3-1-0_094082_2019-07-05_final
2019-07-05 09:44:32	ga_ls8c_ard_3-1-0_094083_2019-07-05_final
2019-07-05 11:23:25	ga_ls8c_ard_3-1-0_110083_2019-07-05_final
2019-07-06 10:27:24	ga_ls8c_ard_3-1-0_101082_2019-07-06_final
2019-07-06 10:27:48	ga_ls8c_ard_3-1-0_101083_2019-07-06_final
2019-07-07 09:31:47	ga_ls8c_ard_3-1-0_092082_2019-07-07_final
2019-07-07 09:32:11	ga_ls8c_ard_3-1-0_092083_2019-07-07_final
2019-07-07 11:10:40	ga_ls8c_ard_3-1-0_108082_2019-07-07_final
2019-07-07 11:11:04	ga_ls8c_ard_3-1-0_108083_2019-07-07_final
2019-07-13 10:33:36	ga_ls8c_ard_3-1-0_102082_2019-07-13_final
2019-07-13 10:34:00	ga_ls8c_ard_3-1-0_102083_2019-07-13_final
2019-07-14 09:37:58	ga_ls8c_ard_3-1-0_093082_2019-07-14_final
2019-07-14 09:38:22	ga_ls8c_ard_3-1-0_093083_2019-07-14_final
2019-07-14 11:17:15	ga_ls8c_ard_3-1-0_109083_2019-07-14_final
2019-07-15 10:21:14	ga_ls8c_ard_3-1-0_100082_2019-07-15_final
2019-07-15 10:21:38	ga_ls8c_ard_3-1-0_100083_2019-07-15_final
2019-07-16 09:26:01	ga_ls8c_ard_3-1-0_091083_2019-07-15_final
2019-07-16 11:04:30	ga_ls8c_ard_3-1-0_107082_2019-07-16_final
2019-07-16 11:04:54	ga_ls8c_ard_3-1-0_107083_2019-07-16_final
2019-10-01 10:34:01	ga_ls8c_ard_3-1-0_102082_2019-10-01_final
2019-10-01 10:34:24	ga_ls8c_ard_3-1-0_102083_2019-10-01_final
2019-10-02 09:38:23	ga_ls8c_ard_3-1-0_093082_2019-10-02_final
2019-10-02 09:38:47	ga_ls8c_ard_3-1-0_093083_2019-10-02_final
2019-10-02 11:17:16	ga_ls8c_ard_3-1-0_109082_2019-10-02_final
2019-10-02 11:17:40	ga_ls8c_ard_3-1-0_109083_2019-10-02_final
2019-10-03 08:42:46	ga_ls8c_ard_3-2-1_084082_2019-10-02_final
2019-10-03 10:21:39	ga_ls8c_ard_3-1-0_100082_2019-10-03_final
2019-10-03 10:22:03	ga_ls8c_ard_3-1-0_100083_2019-10-03_final
2019-10-04 09:26:02	ga_ls8c_ard_3-1-0_091082_2019-10-03_final
2019-10-04 09:26:26	ga_ls8c_ard_3-1-0_091083_2019-10-03_final
2019-10-04 11:04:55	ga_ls8c_ard_3-1-0_107082_2019-10-04_final
2019-10-04 11:05:19	ga_ls8c_ard_3-1-0_107083_2019-10-04_final
2019-10-05 10:09:42	ga_ls8c_ard_3-1-0_098083_2019-10-05_final
2019-10-06 09:13:41	ga_ls8c_ard_3-1-0_089082_2019-10-05_final
2019-10-06 09:14:05	ga_ls8c_ard_3-1-0_089083_2019-10-05_final
2019-10-06 10:52:34	ga_ls8c_ard_3-1-0_105082_2019-10-06_final
2019-10-06 10:52:58	ga_ls8c_ard_3-1-0_105083_2019-10-06_final
2019-10-07 09:56:57	ga_ls8c_ard_3-1-0_096082_2019-10-07_final
2019-10-07 09:57:21	ga_ls8c_ard_3-1-0_096083_2019-10-07_final
2019-10-07 11:35:50	ga_ls8c_ard_3-1-0_112082_2019-10-07_final
2019-10-07 11:36:14	ga_ls8c_ard_3-1-0_112083_2019-10-07_final
2019-10-08 10:40:37	ga_ls8c_ard_3-1-0_103083_2019-10-08_final
2019-11-09 10:40:36	ga_ls8c_ard_3-1-0_103083_2019-11-09_final
2019-11-10 09:44:35	ga_ls8c_ard_3-1-0_094082_2019-11-10_final
2019-11-10 09:44:59	ga_ls8c_ard_3-1-0_094083_2019-11-10_final
2019-11-10 11:23:28	ga_ls8c_ard_3-1-0_110082_2019-11-10_final
2019-11-10 11:23:52	ga_ls8c_ard_3-1-0_110083_2019-11-10_final
2019-11-11 08:48:57	ga_ls8c_ard_3-2-1_085082_2019-11-10_final
2019-11-11 10:27:50	ga_ls8c_ard_3-1-0_101082_2019-11-11_final
2019-11-11 10:28:14	ga_ls8c_ard_3-1-0_101083_2019-11-11_final
2019-11-12 09:32:37	ga_ls8c_ard_3-1-0_092083_2019-11-12_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