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
2023-02-04 09:54:57	ga_ls8c_ard_3-2-1_096077_2023-02-04_final
2023-02-04 09:55:45	ga_ls8c_ard_3-2-1_096079_2023-02-04_final
2023-02-04 11:33:27	ga_ls8c_ard_3-2-1_112076_2023-02-04_final
2023-03-12 11:09:07	ga_ls8c_ard_3-2-1_108078_2023-03-12_final
2023-03-15 09:59:55	ga_ls8c_ard_3-2-1_097075_2023-03-15_final
2023-03-18 10:30:47	ga_ls8c_ard_3-2-1_102075_2023-03-18_final
2023-03-18 10:32:47	ga_ls8c_ard_3-2-1_102080_2023-03-18_final
2023-03-24 09:53:37	ga_ls8c_ard_3-2-1_096075_2023-03-24_final
2023-04-03 10:31:24	ga_ls8c_ard_3-2-1_102077_2023-04-03_final
2023-04-03 10:33:24	ga_ls8c_ard_3-2-1_102082_2023-04-03_final
2023-06-09 09:21:53	ga_ls8c_ard_3-2-1_091074_2023-06-08_final
2023-06-10 10:08:45	ga_ls8c_ard_3-2-1_098083_2023-06-10_final
2023-06-10 10:09:33	ga_ls8c_ard_3-2-1_098085_2023-06-10_final
2023-06-12 09:51:37	ga_ls8c_ard_3-2-1_096071_2023-06-12_final
2023-06-12 09:54:01	ga_ls8c_ard_3-2-1_096077_2023-06-12_final
2023-06-12 11:32:30	ga_ls8c_ard_3-2-1_112076_2023-06-12_final
2023-06-12 11:34:30	ga_ls8c_ard_3-2-1_112081_2023-06-12_final
2023-06-14 11:20:33	ga_ls8c_ard_3-2-1_110077_2023-06-14_final
2023-06-14 11:22:57	ga_ls8c_ard_3-2-1_110083_2023-06-14_final
2023-06-16 11:09:00	ga_ls8c_ard_3-2-1_108079_2023-06-16_final
2023-06-17 10:14:59	ga_ls8c_ard_3-2-1_099083_2023-06-17_final
2023-06-21 11:27:09	ga_ls8c_ard_3-2-1_111078_2023-06-21_final
2023-06-21 11:29:33	ga_ls8c_ard_3-2-1_111084_2023-06-21_final
2023-06-25 10:59:41	ga_ls8c_ard_3-2-1_107071_2023-06-25_final
2023-06-25 11:00:29	ga_ls8c_ard_3-2-1_107073_2023-06-25_final
2023-06-30 09:43:24	ga_ls8c_ard_3-2-1_094081_2023-06-30_final
2023-06-30 11:20:42	ga_ls8c_ard_3-2-1_110077_2023-06-30_final
2023-07-03 11:52:02	ga_ls8c_ard_3-2-1_115078_2023-07-03_final
2023-07-04 10:56:49	ga_ls8c_ard_3-2-1_106079_2023-07-04_final
2023-07-06 10:43:17	ga_ls8c_ard_3-2-1_104076_2023-07-06_final
2023-07-07 09:47:40	ga_ls8c_ard_3-2-1_095076_2023-07-07_final
2023-07-07 09:49:40	ga_ls8c_ard_3-2-1_095081_2023-07-07_final
2023-07-09 09:36:31	ga_ls8c_ard_3-2-1_093079_2023-07-09_final
2023-07-09 11:14:36	ga_ls8c_ard_3-2-1_109077_2023-07-09_final
2023-07-09 11:15:48	ga_ls8c_ard_3-2-1_109080_2023-07-09_final
2023-07-10 10:19:23	ga_ls8c_ard_3-2-1_100078_2023-07-10_final
2023-07-12 10:07:26	ga_ls8c_ard_3-2-1_098079_2023-07-12_final
2023-07-12 10:08:38	ga_ls8c_ard_3-2-1_098082_2023-07-12_final
2023-07-14 11:32:46	ga_ls8c_ard_3-2-1_112076_2023-07-14_final
2023-07-18 09:30:22	ga_ls8c_ard_3-2-1_092079_2023-07-18_final
2023-07-21 10:02:03	ga_ls8c_ard_3-2-1_097081_2023-07-21_final
2023-07-22 10:43:44	ga_ls8c_ard_3-2-1_104077_2023-07-22_final
2023-07-23 11:25:25	ga_ls8c_ard_3-2-1_111073_2023-07-23_final
2023-07-23 11:27:01	ga_ls8c_ard_3-2-1_111077_2023-07-23_final
2023-07-23 11:27:25	ga_ls8c_ard_3-2-1_111078_2023-07-23_final
2023-07-26 10:18:17	ga_ls8c_ard_3-2-1_100075_2023-07-26_final
2023-07-26 11:57:34	ga_ls8c_ard_3-2-1_116076_2023-07-26_final
2023-07-30 11:34:05	ga_ls8c_ard_3-2-1_112079_2023-07-30_final
2023-07-31 10:34:53	ga_ls8c_ard_3-2-1_103070_2023-07-31_final
2023-07-31 10:37:16	ga_ls8c_ard_3-2-1_103076_2023-07-31_final
2023-07-31 10:38:28	ga_ls8c_ard_3-2-1_103079_2023-07-31_final
2023-08-01 09:42:51	ga_ls8c_ard_3-2-1_094079_2023-08-01_final
2023-08-01 09:43:39	ga_ls8c_ard_3-2-1_094081_2023-08-01_final
2023-08-02 10:26:31	ga_ls8c_ard_3-2-1_101080_2023-08-02_final
2023-08-03 09:34:54	ga_ls8c_ard_3-2-1_092090_2023-08-03_final
2023-08-04 10:14:34	ga_ls8c_ard_3-2-1_099081_2023-08-04_final
2023-08-06 09:59:49	ga_ls8c_ard_3-2-1_097075_2023-08-06_final
2023-08-06 10:02:13	ga_ls8c_ard_3-2-1_097081_2023-08-06_final
2023-08-08 09:49:03	ga_ls8c_ard_3-2-1_095079_2023-08-08_final
2023-08-08 09:51:03	ga_ls8c_ard_3-2-1_095084_2023-08-08_final
2023-08-09 10:30:19	ga_ls8c_ard_3-2-1_102074_2023-08-09_final
2023-08-10 09:36:17	ga_ls8c_ard_3-2-1_093078_2023-08-10_final
2023-08-10 09:36:41	ga_ls8c_ard_3-2-1_093079_2023-08-10_final
2023-08-11 10:18:21	ga_ls8c_ard_3-2-1_100075_2023-08-11_final
2023-08-15 09:54:30	ga_ls8c_ard_3-2-1_096077_2023-08-15_final
2023-08-15 09:55:17	ga_ls8c_ard_3-2-1_096079_2023-08-15_final
2023-08-15 11:32:59	ga_ls8c_ard_3-2-1_112076_2023-08-15_final
2023-08-16 10:34:58	ga_ls8c_ard_3-2-1_103070_2023-08-16_final
2023-08-17 09:42:33	ga_ls8c_ard_3-2-1_094078_2023-08-17_final
2023-08-18 10:25:02	ga_ls8c_ard_3-2-1_101076_2023-08-18_final
2023-08-19 11:08:18	ga_ls8c_ard_3-2-1_108076_2023-08-19_final
2023-08-19 11:09:30	ga_ls8c_ard_3-2-1_108079_2023-08-19_final
2023-08-19 11:10:42	ga_ls8c_ard_3-2-1_108082_2023-08-19_final
2023-08-20 10:12:41	ga_ls8c_ard_3-2-1_099076_2023-08-20_final
2023-08-20 11:52:22	ga_ls8c_ard_3-2-1_115078_2023-08-20_final
2023-08-22 09:59:33	ga_ls8c_ard_3-2-1_097074_2023-08-22_final
2023-08-22 10:01:56	ga_ls8c_ard_3-2-1_097080_2023-08-22_final
2023-08-24 09:49:11	ga_ls8c_ard_3-2-1_095079_2023-08-24_final
2023-08-24 11:24:53	ga_ls8c_ard_3-2-1_111071_2023-08-24_final
2023-08-24 11:27:40	ga_ls8c_ard_3-2-1_111078_2023-08-24_final
2023-08-26 09:38:02	ga_ls8c_ard_3-2-1_093082_2023-08-26_final
2023-08-26 11:15:43	ga_ls8c_ard_3-2-1_109079_2023-08-26_final
2023-08-27 10:20:06	ga_ls8c_ard_3-2-1_100079_2023-08-27_final
2023-08-30 10:46:13	ga_ls8c_ard_3-2-1_105067_2023-08-30_final
2023-08-31 09:54:11	ga_ls8c_ard_3-2-1_096076_2023-08-31_final
2023-08-31 09:55:46	ga_ls8c_ard_3-2-1_096080_2023-08-31_final
2023-08-31 11:33:04	ga_ls8c_ard_3-2-1_112076_2023-08-31_final
2023-08-31 11:34:16	ga_ls8c_ard_3-2-1_112079_2023-08-31_final
2023-09-02 09:42:13	ga_ls8c_ard_3-2-1_094077_2023-09-02_final
2023-09-02 09:43:00	ga_ls8c_ard_3-2-1_094079_2023-09-02_final
2023-09-04 09:29:26	ga_ls8c_ard_3-2-1_092076_2023-09-03_final
2023-09-04 09:30:38	ga_ls8c_ard_3-2-1_092079_2023-09-04_final
2023-09-04 09:32:14	ga_ls8c_ard_3-2-1_092083_2023-09-04_final
2023-09-04 11:09:07	ga_ls8c_ard_3-2-1_108078_2023-09-04_final
2023-09-04 11:09:31	ga_ls8c_ard_3-2-1_108079_2023-09-04_final
2023-09-05 10:10:42	ga_ls8c_ard_3-2-1_099071_2023-09-05_final
2023-09-09 09:49:11	ga_ls8c_ard_3-2-1_095079_2023-09-09_final
2023-09-09 11:26:05	ga_ls8c_ard_3-2-1_111074_2023-09-09_final
2023-09-10 10:30:28	ga_ls8c_ard_3-2-1_102074_2023-09-10_final
2023-09-11 09:36:51	ga_ls8c_ard_3-2-1_093079_2023-09-11_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years