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
2014-08-10 09:31:54	ga_ls8c_ard_3-0-0_092082_2014-08-10_final
2014-08-10 09:32:18	ga_ls8c_ard_3-0-0_092083_2014-08-10_final
2014-08-10 11:10:47	ga_ls8c_ard_3-0-0_108082_2014-08-10_final
2014-08-10 11:11:11	ga_ls8c_ard_3-0-0_108083_2014-08-10_final
2014-08-11 10:15:10	ga_ls8c_ard_3-0-0_099082_2014-08-11_final
2014-08-11 10:15:34	ga_ls8c_ard_3-0-0_099083_2014-08-11_final
2014-08-12 09:19:33	ga_ls8c_ard_3-0-0_090082_2014-08-11_final
2014-08-12 09:19:57	ga_ls8c_ard_3-0-0_090083_2014-08-11_final
2014-08-12 10:58:26	ga_ls8c_ard_3-0-0_106082_2014-08-12_final
2014-08-12 10:58:50	ga_ls8c_ard_3-0-0_106083_2014-08-12_final
2014-08-26 09:31:56	ga_ls8c_ard_3-0-0_092082_2014-08-26_final
2014-08-26 09:32:20	ga_ls8c_ard_3-0-0_092083_2014-08-26_final
2014-08-26 11:10:49	ga_ls8c_ard_3-0-0_108082_2014-08-26_final
2014-08-26 11:11:13	ga_ls8c_ard_3-0-0_108083_2014-08-26_final
2014-08-27 10:15:11	ga_ls8c_ard_3-0-0_099082_2014-08-27_final
2014-08-27 10:15:35	ga_ls8c_ard_3-0-0_099083_2014-08-27_final
2014-08-28 09:19:34	ga_ls8c_ard_3-0-0_090082_2014-08-27_final
2014-08-28 09:19:58	ga_ls8c_ard_3-0-0_090083_2014-08-27_final
2014-08-28 10:58:27	ga_ls8c_ard_3-0-0_106082_2014-08-28_final
2014-08-28 10:58:51	ga_ls8c_ard_3-0-0_106083_2014-08-28_final
2018-02-13 10:02:34	ga_ls8c_ard_3-0-0_097082_2018-02-13_final
2018-02-13 10:02:58	ga_ls8c_ard_3-0-0_097083_2018-02-13_final
2018-02-13 11:41:27	ga_ls8c_ard_3-0-0_113082_2018-02-13_final
2018-02-13 11:41:51	ga_ls8c_ard_3-0-0_113083_2018-02-13_final
2018-02-14 09:06:57	ga_ls8c_ard_3-0-0_088082_2018-02-13_final
2018-02-14 09:07:21	ga_ls8c_ard_3-0-0_088083_2018-02-13_final
2018-02-14 10:46:14	ga_ls8c_ard_3-0-0_104083_2018-02-14_final
2018-02-15 09:50:12	ga_ls8c_ard_3-0-0_095082_2018-02-15_final
2018-02-15 09:50:36	ga_ls8c_ard_3-0-0_095083_2018-02-15_final
2018-02-15 11:29:29	ga_ls8c_ard_3-0-0_111083_2018-02-15_final
2018-04-06 09:37:26	ga_ls8c_ard_3-0-0_093082_2018-04-06_final
2018-04-06 09:37:50	ga_ls8c_ard_3-0-0_093083_2018-04-06_final
2018-04-06 11:16:43	ga_ls8c_ard_3-0-0_109083_2018-04-06_final
2018-04-07 10:21:05	ga_ls8c_ard_3-0-0_100083_2018-04-07_final
2018-04-08 09:25:27	ga_ls8c_ard_3-0-0_091083_2018-04-07_final
2018-04-08 11:04:20	ga_ls8c_ard_3-0-0_107083_2018-04-08_final
2018-04-16 10:14:49	ga_ls8c_ard_3-0-0_099083_2018-04-16_final
2018-04-17 09:18:47	ga_ls8c_ard_3-0-0_090082_2018-04-16_final
2018-04-17 09:19:11	ga_ls8c_ard_3-0-0_090083_2018-04-16_final
2018-04-17 10:58:04	ga_ls8c_ard_3-0-0_106083_2018-04-17_final
2018-04-18 10:02:02	ga_ls8c_ard_3-0-0_097082_2018-04-18_final
2018-04-18 10:02:26	ga_ls8c_ard_3-0-0_097083_2018-04-18_final
2018-04-18 11:41:19	ga_ls8c_ard_3-0-0_113083_2018-04-18_final
2018-04-22 09:37:17	ga_ls8c_ard_3-0-0_093082_2018-04-22_final
2018-04-22 09:37:41	ga_ls8c_ard_3-0-0_093083_2018-04-22_final
2018-04-22 11:16:34	ga_ls8c_ard_3-0-0_109083_2018-04-22_final
2018-04-23 10:20:56	ga_ls8c_ard_3-0-0_100083_2018-04-23_final
2018-04-24 09:25:18	ga_ls8c_ard_3-0-0_091083_2018-04-23_final
2018-04-24 11:03:47	ga_ls8c_ard_3-1-0_107082_2018-04-24_final
2018-04-24 11:04:11	ga_ls8c_ard_3-0-0_107083_2018-04-24_final
2018-07-20 09:31:03	ga_ls8c_ard_3-0-0_092082_2018-07-20_final
2018-07-20 09:31:27	ga_ls8c_ard_3-0-0_092083_2018-07-20_final
2018-07-20 11:09:56	ga_ls8c_ard_3-0-0_108082_2018-07-20_final
2018-07-20 11:10:20	ga_ls8c_ard_3-0-0_108083_2018-07-20_final
2018-07-21 10:14:19	ga_ls8c_ard_3-0-0_099082_2018-07-21_final
2018-07-21 10:14:43	ga_ls8c_ard_3-0-0_099083_2018-07-21_final
2018-07-22 09:18:42	ga_ls8c_ard_3-0-0_090082_2018-07-21_final
2018-07-22 09:19:06	ga_ls8c_ard_3-0-0_090083_2018-07-21_final
2018-07-22 10:57:35	ga_ls8c_ard_3-0-0_106082_2018-07-22_final
2018-07-22 10:57:59	ga_ls8c_ard_3-0-0_106083_2018-07-22_final
2023-10-11 09:50:33	ga_ls8c_ard_3-2-1_095082_2023-10-11_final
2023-10-11 09:50:57	ga_ls8c_ard_3-2-1_095083_2023-10-11_final
2023-10-11 11:29:26	ga_ls8c_ard_3-2-1_111082_2023-10-11_final
2023-10-11 11:29:50	ga_ls8c_ard_3-2-1_111083_2023-10-11_final
2023-10-12 10:33:49	ga_ls8c_ard_3-2-1_102082_2023-10-12_final
2023-10-13 09:38:12	ga_ls8c_ard_3-2-1_093082_2023-10-13_final
2023-10-13 09:38:36	ga_ls8c_ard_3-2-1_093083_2023-10-13_final
2023-10-15 09:25:50	ga_ls8c_ard_3-2-1_091082_2023-10-14_final
2023-10-15 09:25:50	ga_ls8c_ard_3-2-1_091082_2023-10-14_nrt
2023-10-15 09:26:14	ga_ls8c_ard_3-2-1_091083_2023-10-14_final
2023-10-15 09:26:14	ga_ls8c_ard_3-2-1_091083_2023-10-14_nrt
2023-10-15 11:04:43	ga_ls8c_ard_3-2-1_107082_2023-10-15_final
2023-10-15 11:04:43	ga_ls8c_ard_3-2-1_107082_2023-10-15_nrt
2023-10-15 11:05:07	ga_ls8c_ard_3-2-1_107083_2023-10-15_final
2023-10-15 11:05:07	ga_ls8c_ard_3-2-1_107083_2023-10-15_nrt
2023-10-22 09:32:01	ga_ls8c_ard_3-2-1_092082_2023-10-22_final
2023-10-22 09:32:25	ga_ls8c_ard_3-2-1_092083_2023-10-22_final
2023-10-22 11:10:54	ga_ls8c_ard_3-2-1_108082_2023-10-22_final
2023-10-22 11:11:18	ga_ls8c_ard_3-2-1_108083_2023-10-22_final
2023-10-23 10:15:17	ga_ls8c_ard_3-2-1_099082_2023-10-23_final
2023-10-23 10:15:41	ga_ls8c_ard_3-2-1_099083_2023-10-23_final
2023-10-24 09:19:41	ga_ls8c_ard_3-2-1_090082_2023-10-23_final
2023-10-24 09:20:05	ga_ls8c_ard_3-2-1_090083_2023-10-23_final
2023-10-24 10:58:34	ga_ls8c_ard_3-2-1_106082_2023-10-24_final
2023-10-24 10:58:58	ga_ls8c_ard_3-2-1_106083_2023-10-24_final
2023-10-25 10:02:57	ga_ls8c_ard_3-2-1_097082_2023-10-25_final
2023-10-25 10:03:21	ga_ls8c_ard_3-2-1_097083_2023-10-25_final
2024-01-09 10:27:35	ga_ls8c_ard_3-2-1_101082_2024-01-09_final
2024-01-09 10:27:59	ga_ls8c_ard_3-2-1_101083_2024-01-09_final
2024-01-10 09:31:58	ga_ls8c_ard_3-2-1_092082_2024-01-10_final
2024-01-10 09:32:22	ga_ls8c_ard_3-2-1_092083_2024-01-10_final
2024-01-10 11:10:51	ga_ls8c_ard_3-2-1_108082_2024-01-10_final
2024-01-10 11:11:15	ga_ls8c_ard_3-2-1_108083_2024-01-10_final
2024-01-11 10:15:14	ga_ls8c_ard_3-2-1_099082_2024-01-11_final
2024-01-11 10:15:38	ga_ls8c_ard_3-2-1_099083_2024-01-11_final
2024-01-12 09:19:37	ga_ls8c_ard_3-2-1_090082_2024-01-11_final
2024-01-12 09:20:01	ga_ls8c_ard_3-2-1_090083_2024-01-11_final
2024-01-12 10:58:30	ga_ls8c_ard_3-2-1_106082_2024-01-12_final
2024-01-12 10:58:54	ga_ls8c_ard_3-2-1_106083_2024-01-12_final
2024-01-13 10:02:53	ga_ls8c_ard_3-2-1_097082_2024-01-13_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