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:

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First 100 results (query limit)

Time (local)	Label
2023-01-17 10:04:26	ga_ls8c_ard_3-2-1_098070_2023-01-17_final
2023-01-17 10:05:37	ga_ls8c_ard_3-2-1_098073_2023-01-17_final
2023-01-18 09:11:11	ga_ls8c_ard_3-2-1_089076_2023-01-17_final
2023-01-18 09:16:47	ga_ls8c_ard_3-2-1_089090_2023-01-17_final
2023-01-19 09:52:05	ga_ls8c_ard_3-2-1_096070_2023-01-19_final
2023-01-19 11:32:10	ga_ls8c_ard_3-2-1_112073_2023-01-19_final
2023-01-21 11:24:37	ga_ls8c_ard_3-2-1_110085_2023-01-21_final
2023-01-23 09:27:49	ga_ls8c_ard_3-2-1_092071_2023-01-22_final
2023-01-23 09:28:36	ga_ls8c_ard_3-2-1_092073_2023-01-22_final
2023-01-23 09:30:36	ga_ls8c_ard_3-2-1_092078_2023-01-23_final
2023-01-23 09:35:24	ga_ls8c_ard_3-2-1_092090_2023-01-23_final
2023-01-25 09:16:40	ga_ls8c_ard_3-2-1_090074_2023-01-24_final
2023-01-25 10:54:21	ga_ls8c_ard_3-2-1_106071_2023-01-25_final
2023-01-26 11:38:25	ga_ls8c_ard_3-2-1_113073_2023-01-26_final
2023-01-26 11:40:49	ga_ls8c_ard_3-2-1_113079_2023-01-26_final
2023-01-29 10:32:02	ga_ls8c_ard_3-2-1_102077_2023-01-29_final
2023-01-29 10:32:26	ga_ls8c_ard_3-2-1_102078_2023-01-29_final
2023-01-29 10:32:50	ga_ls8c_ard_3-2-1_102079_2023-01-29_final
2023-01-29 10:33:14	ga_ls8c_ard_3-2-1_102080_2023-01-29_final
2023-01-29 10:33:38	ga_ls8c_ard_3-2-1_102081_2023-01-29_final
2023-01-29 10:34:02	ga_ls8c_ard_3-2-1_102082_2023-01-29_final
2023-01-30 09:38:25	ga_ls8c_ard_3-2-1_093082_2023-01-30_final
2023-01-30 09:38:49	ga_ls8c_ard_3-2-1_093083_2023-01-30_final
2023-02-01 09:24:04	ga_ls8c_ard_3-2-1_091077_2023-01-31_final
2023-02-06 09:42:11	ga_ls8c_ard_3-2-1_094076_2023-02-06_final
2023-02-06 09:42:35	ga_ls8c_ard_3-2-1_094077_2023-02-06_final
2023-02-06 11:18:17	ga_ls8c_ard_3-2-1_110069_2023-02-06_final
2023-02-07 10:25:03	ga_ls8c_ard_3-2-1_101075_2023-02-07_final
2023-02-08 09:27:49	ga_ls8c_ard_3-2-1_092071_2023-02-07_final
2023-02-08 09:28:37	ga_ls8c_ard_3-2-1_092073_2023-02-07_final
2023-02-08 09:30:13	ga_ls8c_ard_3-2-1_092077_2023-02-08_final
2023-02-08 09:30:37	ga_ls8c_ard_3-2-1_092078_2023-02-08_final
2023-02-08 09:35:24	ga_ls8c_ard_3-2-1_092090_2023-02-08_final
2023-02-08 11:11:53	ga_ls8c_ard_3-2-1_108084_2023-02-08_final
2023-02-10 09:16:38	ga_ls8c_ard_3-2-1_090074_2023-02-09_final
2023-02-11 09:57:05	ga_ls8c_ard_3-2-1_097067_2023-02-11_final
2023-02-11 11:37:58	ga_ls8c_ard_3-2-1_113072_2023-02-11_final
2023-02-11 11:38:22	ga_ls8c_ard_3-2-1_113073_2023-02-11_final
2023-02-12 10:41:08	ga_ls8c_ard_3-2-1_104069_2023-02-12_final
2023-02-12 10:41:32	ga_ls8c_ard_3-2-1_104070_2023-02-12_final
2023-02-12 10:41:56	ga_ls8c_ard_3-2-1_104071_2023-02-12_final
2023-02-12 10:45:55	ga_ls8c_ard_3-2-1_104081_2023-02-12_final
2023-02-13 09:46:18	ga_ls8c_ard_3-2-1_095071_2023-02-13_final
2023-02-13 09:52:41	ga_ls8c_ard_3-2-1_095087_2023-02-13_final
2023-02-13 11:24:23	ga_ls8c_ard_3-2-1_111069_2023-02-13_final
2023-02-13 11:24:47	ga_ls8c_ard_3-2-1_111070_2023-02-13_final
2023-02-16 10:17:57	ga_ls8c_ard_3-2-1_100073_2023-02-16_final
2023-02-18 10:03:10	ga_ls8c_ard_3-2-1_098067_2023-02-18_final
2023-02-18 10:05:34	ga_ls8c_ard_3-2-1_098073_2023-02-18_final
2023-02-18 10:05:57	ga_ls8c_ard_3-2-1_098074_2023-02-18_final
2023-02-18 10:06:21	ga_ls8c_ard_3-2-1_098075_2023-02-18_final
2023-02-18 10:06:45	ga_ls8c_ard_3-2-1_098076_2023-02-18_final
2023-02-19 09:10:19	ga_ls8c_ard_3-2-1_089074_2023-02-18_final
2023-02-19 09:11:07	ga_ls8c_ard_3-2-1_089076_2023-02-18_final
2023-02-19 10:46:24	ga_ls8c_ard_3-2-1_105067_2023-02-19_final
2023-02-19 10:48:48	ga_ls8c_ard_3-2-1_105073_2023-02-19_final
2023-02-20 09:53:09	ga_ls8c_ard_3-2-1_096073_2023-02-20_final
2023-02-22 09:40:45	ga_ls8c_ard_3-2-1_094073_2023-02-22_final
2023-02-22 11:18:02	ga_ls8c_ard_3-2-1_110069_2023-02-22_final
2023-02-23 10:22:47	ga_ls8c_ard_3-2-1_101070_2023-02-23_final
2023-02-24 09:27:32	ga_ls8c_ard_3-2-1_092071_2023-02-23_final
2023-02-24 09:27:56	ga_ls8c_ard_3-2-1_092072_2023-02-23_final
2023-02-24 09:28:20	ga_ls8c_ard_3-2-1_092073_2023-02-23_final
2023-02-24 11:06:25	ga_ls8c_ard_3-2-1_108071_2023-02-24_final
2023-02-24 11:06:49	ga_ls8c_ard_3-2-1_108072_2023-02-24_final
2023-02-24 11:09:37	ga_ls8c_ard_3-2-1_108079_2023-02-24_final
2023-02-24 11:10:25	ga_ls8c_ard_3-2-1_108081_2023-02-24_final
2023-02-25 10:16:22	ga_ls8c_ard_3-2-1_099085_2023-02-25_final
2023-02-26 09:16:21	ga_ls8c_ard_3-2-1_090074_2023-02-25_final
2023-02-26 09:21:33	ga_ls8c_ard_3-2-1_090087_2023-02-25_final
2023-02-27 09:56:50	ga_ls8c_ard_3-2-1_097067_2023-02-27_final
2023-02-27 09:58:25	ga_ls8c_ard_3-2-1_097071_2023-02-27_final
2023-02-27 09:58:49	ga_ls8c_ard_3-2-1_097072_2023-02-27_final
2023-02-27 09:59:13	ga_ls8c_ard_3-2-1_097073_2023-02-27_final
2023-02-27 11:38:06	ga_ls8c_ard_3-2-1_113073_2023-02-27_final
2023-02-28 09:07:35	ga_ls8c_ard_3-2-1_088083_2023-02-27_final
2023-02-28 10:42:05	ga_ls8c_ard_3-2-1_104072_2023-02-28_final
2023-02-28 10:42:29	ga_ls8c_ard_3-2-1_104073_2023-02-28_final
2023-02-28 10:42:53	ga_ls8c_ard_3-2-1_104074_2023-02-28_final
2023-03-01 09:46:04	ga_ls8c_ard_3-2-1_095071_2023-03-01_final
2023-03-02 10:30:31	ga_ls8c_ard_3-2-1_102074_2023-03-02_final
2023-03-03 09:35:41	ga_ls8c_ard_3-2-1_093076_2023-03-03_final
2023-03-03 09:36:05	ga_ls8c_ard_3-2-1_093077_2023-03-03_final
2023-03-04 10:17:44	ga_ls8c_ard_3-2-1_100073_2023-03-04_final
2023-03-06 10:04:10	ga_ls8c_ard_3-2-1_098070_2023-03-06_final
2023-03-06 10:04:34	ga_ls8c_ard_3-2-1_098071_2023-03-06_final
2023-03-06 10:04:58	ga_ls8c_ard_3-2-1_098072_2023-03-06_final
2023-03-06 10:05:22	ga_ls8c_ard_3-2-1_098073_2023-03-06_final
2023-03-07 09:10:55	ga_ls8c_ard_3-2-1_089076_2023-03-06_final
2023-03-07 09:16:30	ga_ls8c_ard_3-2-1_089090_2023-03-06_final
2023-03-07 10:52:36	ga_ls8c_ard_3-2-1_105083_2023-03-07_final
2023-03-08 09:53:46	ga_ls8c_ard_3-2-1_096075_2023-03-08_final
2023-03-08 09:54:10	ga_ls8c_ard_3-2-1_096076_2023-03-08_final
2023-03-08 09:54:34	ga_ls8c_ard_3-2-1_096077_2023-03-08_final
2023-03-09 10:39:49	ga_ls8c_ard_3-2-1_103082_2023-03-09_final
2023-03-10 09:41:48	ga_ls8c_ard_3-2-1_094076_2023-03-10_final
2023-03-10 09:42:12	ga_ls8c_ard_3-2-1_094077_2023-03-10_final
2023-03-10 09:42:36	ga_ls8c_ard_3-2-1_094078_2023-03-10_final
2023-03-10 09:46:11	ga_ls8c_ard_3-2-1_094087_2023-03-10_final
2023-03-10 11:17:53	ga_ls8c_ard_3-2-1_110069_2023-03-10_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