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
2023-08-27 11:58:11	ga_ls8c_ard_3-2-1_116077_2023-08-27_final
2023-08-28 11:02:58	ga_ls8c_ard_3-2-1_107078_2023-08-28_final
2023-08-29 10:06:32	ga_ls8c_ard_3-2-1_098076_2023-08-29_final
2023-08-29 11:45:49	ga_ls8c_ard_3-2-1_114077_2023-08-29_final
2023-08-31 09:53:47	ga_ls8c_ard_3-2-1_096075_2023-08-31_final
2023-08-31 09:54:11	ga_ls8c_ard_3-2-1_096076_2023-08-31_final
2023-08-31 09:54:59	ga_ls8c_ard_3-2-1_096078_2023-08-31_final
2023-08-31 09:56:10	ga_ls8c_ard_3-2-1_096081_2023-08-31_final
2023-09-01 10:37:26	ga_ls8c_ard_3-2-1_103076_2023-09-01_final
2023-09-02 09:42:13	ga_ls8c_ard_3-2-1_094077_2023-09-02_final
2023-09-02 09:42:36	ga_ls8c_ard_3-2-1_094078_2023-09-02_final
2023-09-02 11:21:29	ga_ls8c_ard_3-2-1_110078_2023-09-02_final
2023-09-02 11:22:17	ga_ls8c_ard_3-2-1_110080_2023-09-02_final
2023-09-02 11:23:05	ga_ls8c_ard_3-2-1_110082_2023-09-02_final
2023-09-03 10:26:40	ga_ls8c_ard_3-2-1_101080_2023-09-03_final
2023-09-03 10:27:04	ga_ls8c_ard_3-2-1_101081_2023-09-03_final
2023-09-04 09:29:50	ga_ls8c_ard_3-2-1_092077_2023-09-03_final
2023-09-05 10:12:17	ga_ls8c_ard_3-2-1_099075_2023-09-05_final
2023-09-05 10:14:41	ga_ls8c_ard_3-2-1_099081_2023-09-05_final
2023-09-06 09:17:52	ga_ls8c_ard_3-2-1_090078_2023-09-05_final
2023-09-06 09:18:39	ga_ls8c_ard_3-2-1_090080_2023-09-05_final
2023-09-06 09:19:03	ga_ls8c_ard_3-2-1_090081_2023-09-05_final
2023-09-07 10:00:43	ga_ls8c_ard_3-2-1_097077_2023-09-07_final
2023-09-07 11:38:49	ga_ls8c_ard_3-2-1_113075_2023-09-07_final
2023-09-07 11:40:24	ga_ls8c_ard_3-2-1_113079_2023-09-07_final
2023-09-08 10:44:00	ga_ls8c_ard_3-2-1_104077_2023-09-08_final
2023-09-09 11:27:17	ga_ls8c_ard_3-2-1_111077_2023-09-09_final
2023-09-09 11:28:04	ga_ls8c_ard_3-2-1_111079_2023-09-09_final
2023-09-11 11:15:20	ga_ls8c_ard_3-2-1_109078_2023-09-11_final
2023-09-16 09:54:38	ga_ls8c_ard_3-2-1_096077_2023-09-16_final
2023-09-16 11:33:08	ga_ls8c_ard_3-2-1_112076_2023-09-16_final
2023-09-18 09:42:17	ga_ls8c_ard_3-2-1_094077_2023-09-18_final
2023-09-18 09:43:29	ga_ls8c_ard_3-2-1_094080_2023-09-18_final
2023-09-18 11:21:34	ga_ls8c_ard_3-2-1_110078_2023-09-18_final
2023-09-19 10:26:45	ga_ls8c_ard_3-2-1_101080_2023-09-19_final
2023-09-21 10:12:23	ga_ls8c_ard_3-2-1_099075_2023-09-21_final
2023-09-23 11:38:55	ga_ls8c_ard_3-2-1_113075_2023-09-23_final
2023-09-24 10:43:42	ga_ls8c_ard_3-2-1_104076_2023-09-24_final
2023-09-24 10:44:06	ga_ls8c_ard_3-2-1_104077_2023-09-24_final
2023-09-25 09:48:06	ga_ls8c_ard_3-2-1_095076_2023-09-25_final
2023-09-25 11:28:58	ga_ls8c_ard_3-2-1_111081_2023-09-25_final
2023-09-26 10:31:46	ga_ls8c_ard_3-2-1_102077_2023-09-26_final
2023-09-26 10:32:34	ga_ls8c_ard_3-2-1_102079_2023-09-26_final
2023-09-27 09:36:09	ga_ls8c_ard_3-2-1_093077_2023-09-27_final
2023-10-02 09:54:18	ga_ls8c_ard_3-2-1_096076_2023-10-02_final
2023-10-02 09:55:06	ga_ls8c_ard_3-2-1_096078_2023-10-02_final
2023-10-02 11:32:47	ga_ls8c_ard_3-2-1_112075_2023-10-02_final
2023-10-02 11:33:11	ga_ls8c_ard_3-2-1_112076_2023-10-02_final
2023-10-02 11:33:35	ga_ls8c_ard_3-2-1_112077_2023-10-02_final
2023-10-04 09:42:20	ga_ls8c_ard_3-2-1_094077_2023-10-04_final
2023-10-04 11:22:25	ga_ls8c_ard_3-2-1_110080_2023-10-04_final
2023-10-06 09:30:22	ga_ls8c_ard_3-2-1_092078_2023-10-06_final
2023-10-07 10:14:50	ga_ls8c_ard_3-2-1_099081_2023-10-07_final
2023-10-09 10:01:18	ga_ls8c_ard_3-2-1_097078_2023-10-09_final
2023-10-09 10:02:06	ga_ls8c_ard_3-2-1_097080_2023-10-09_final
2023-10-09 11:39:00	ga_ls8c_ard_3-2-1_113075_2023-10-09_final
2023-10-10 10:43:47	ga_ls8c_ard_3-2-1_104076_2023-10-10_final
2023-10-11 09:49:21	ga_ls8c_ard_3-2-1_095079_2023-10-11_final
2023-10-11 11:26:39	ga_ls8c_ard_3-2-1_111075_2023-10-11_final
2023-10-11 11:28:38	ga_ls8c_ard_3-2-1_111080_2023-10-11_final
2023-10-11 11:29:02	ga_ls8c_ard_3-2-1_111081_2023-10-11_final
2023-10-12 10:32:13	ga_ls8c_ard_3-2-1_102078_2023-10-12_final
2023-10-13 09:36:12	ga_ls8c_ard_3-2-1_093077_2023-10-13_final
2023-10-13 09:37:24	ga_ls8c_ard_3-2-1_093080_2023-10-13_final
2023-10-13 11:15:53	ga_ls8c_ard_3-2-1_109079_2023-10-13_final
2023-10-14 10:21:04	ga_ls8c_ard_3-2-1_100081_2023-10-14_final
2023-10-15 11:03:31	ga_ls8c_ard_3-2-1_107079_2023-10-15_final
2023-10-16 10:06:42	ga_ls8c_ard_3-2-1_098076_2023-10-16_final
2023-10-16 10:08:42	ga_ls8c_ard_3-2-1_098081_2023-10-16_final
2023-10-16 11:46:23	ga_ls8c_ard_3-2-1_114078_2023-10-16_final
2023-10-18 09:53:56	ga_ls8c_ard_3-2-1_096075_2023-10-18_final
2023-10-19 10:39:59	ga_ls8c_ard_3-2-1_103082_2023-10-19_final
2023-10-20 09:42:21	ga_ls8c_ard_3-2-1_094077_2023-10-20_final
2023-10-20 09:43:33	ga_ls8c_ard_3-2-1_094080_2023-10-20_final
2023-10-20 09:44:45	ga_ls8c_ard_3-2-1_094083_2023-10-20_final
2023-10-20 11:21:38	ga_ls8c_ard_3-2-1_110078_2023-10-20_final
2023-10-22 09:30:25	ga_ls8c_ard_3-2-1_092078_2023-10-22_final
2023-10-22 11:09:18	ga_ls8c_ard_3-2-1_108078_2023-10-22_final
2023-10-23 10:12:30	ga_ls8c_ard_3-2-1_099075_2023-10-23_final
2023-10-25 11:40:14	ga_ls8c_ard_3-2-1_113078_2023-10-25_final
2023-10-25 11:40:38	ga_ls8c_ard_3-2-1_113079_2023-10-25_final
2023-10-28 10:31:28	ga_ls8c_ard_3-2-1_102076_2023-10-28_final
2023-10-29 09:37:27	ga_ls8c_ard_3-2-1_093080_2023-10-29_final
2023-10-29 11:15:32	ga_ls8c_ard_3-2-1_109078_2023-10-29_final
2023-10-30 11:58:24	ga_ls8c_ard_3-2-1_116077_2023-10-30_final
2023-10-31 11:03:35	ga_ls8c_ard_3-2-1_107079_2023-10-31_final
2023-11-01 11:45:38	ga_ls8c_ard_3-2-1_114076_2023-11-01_final
2023-11-03 09:54:23	ga_ls8c_ard_3-2-1_096076_2023-11-03_final
2023-11-03 09:55:11	ga_ls8c_ard_3-2-1_096078_2023-11-03_final
2023-11-03 11:33:16	ga_ls8c_ard_3-2-1_112076_2023-11-03_final
2023-11-04 10:37:15	ga_ls8c_ard_3-2-1_103075_2023-11-04_final
2023-11-04 10:38:50	ga_ls8c_ard_3-2-1_103079_2023-11-04_final
2023-11-05 09:42:49	ga_ls8c_ard_3-2-1_094078_2023-11-05_final
2023-11-06 10:26:52	ga_ls8c_ard_3-2-1_101080_2023-11-06_final
2023-11-08 10:12:28	ga_ls8c_ard_3-2-1_099075_2023-11-08_final
2023-11-08 10:14:52	ga_ls8c_ard_3-2-1_099081_2023-11-08_final
2023-11-10 10:00:53	ga_ls8c_ard_3-2-1_097077_2023-11-10_final
2023-11-10 11:39:22	ga_ls8c_ard_3-2-1_113076_2023-11-10_final
2023-11-12 09:49:21	ga_ls8c_ard_3-2-1_095079_2023-11-12_final
2023-11-12 11:27:26	ga_ls8c_ard_3-2-1_111077_2023-11-12_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years