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
2018-09-16 10:08:58	ga_ls8c_ard_3-0-0_098083_2018-09-16_final
2018-09-16 10:09:21	ga_ls8c_ard_3-0-0_098084_2018-09-16_final
2018-09-17 09:13:20	ga_ls8c_ard_3-0-0_089083_2018-09-16_final
2018-09-17 09:13:44	ga_ls8c_ard_3-0-0_089084_2018-09-16_final
2018-09-17 10:52:13	ga_ls8c_ard_3-0-0_105083_2018-09-17_final
2019-01-06 10:09:12	ga_ls8c_ard_3-0-0_098083_2019-01-06_final
2019-01-06 10:09:36	ga_ls8c_ard_3-0-0_098084_2019-01-06_final
2019-01-07 09:13:34	ga_ls8c_ard_3-0-0_089083_2019-01-06_final
2019-01-07 09:13:58	ga_ls8c_ard_3-0-0_089084_2019-01-06_final
2019-01-07 10:52:27	ga_ls8c_ard_3-0-0_105083_2019-01-07_final
2020-04-06 09:19:33	ga_ls8c_ard_3-1-0_090083_2020-04-05_final
2020-04-07 10:03:12	ga_ls8c_ard_3-1-0_097084_2020-04-07_final
2020-04-07 11:41:41	ga_ls8c_ard_3-1-0_113083_2020-04-07_final
2020-04-07 11:42:05	ga_ls8c_ard_3-1-0_113084_2020-04-07_final
2020-04-08 09:07:35	ga_ls8c_ard_3-1-0_088084_2020-04-07_final
2020-04-08 10:46:04	ga_ls8c_ard_3-1-0_104083_2020-04-08_final
2020-04-16 09:56:58	ga_ls8c_ard_3-1-0_096084_2020-04-16_final
2020-04-16 11:35:51	ga_ls8c_ard_3-1-0_112084_2020-04-16_final
2020-04-25 09:50:43	ga_ls8c_ard_3-1-0_095084_2020-04-25_final
2020-04-25 11:29:36	ga_ls8c_ard_3-1-0_111084_2020-04-25_final
2020-04-27 09:38:20	ga_ls8c_ard_3-1-0_093084_2020-04-27_final
2020-04-27 11:17:13	ga_ls8c_ard_3-1-0_109084_2020-04-27_final
2020-04-28 10:21:35	ga_ls8c_ard_3-1-0_100084_2020-04-28_final
2020-05-06 09:32:04	ga_ls8c_ard_3-1-0_092084_2020-05-06_final
2020-05-06 11:10:57	ga_ls8c_ard_3-1-0_108084_2020-05-06_final
2020-05-07 10:14:55	ga_ls8c_ard_3-1-0_099083_2020-05-07_final
2020-05-07 10:15:19	ga_ls8c_ard_3-1-0_099084_2020-05-07_final
2020-05-08 09:19:41	ga_ls8c_ard_3-1-0_090084_2020-05-07_final
2020-05-08 10:58:34	ga_ls8c_ard_3-1-0_106084_2020-05-08_final
2020-05-09 10:02:33	ga_ls8c_ard_3-1-0_097083_2020-05-09_final
2020-05-09 10:02:57	ga_ls8c_ard_3-1-0_097084_2020-05-09_final
2020-05-09 11:41:26	ga_ls8c_ard_3-1-0_113083_2020-05-09_final
2020-05-09 11:41:50	ga_ls8c_ard_3-1-0_113084_2020-05-09_final
2020-05-10 09:06:56	ga_ls8c_ard_3-1-0_088083_2020-05-09_final
2020-05-10 09:07:20	ga_ls8c_ard_3-1-0_088084_2020-05-09_final
2020-05-10 10:45:49	ga_ls8c_ard_3-1-0_104083_2020-05-10_final
2020-05-22 09:31:42	ga_ls8c_ard_3-1-0_092083_2020-05-22_final
2020-05-22 09:32:06	ga_ls8c_ard_3-1-0_092084_2020-05-22_final
2020-05-22 11:10:35	ga_ls8c_ard_3-1-0_108083_2020-05-22_final
2020-05-22 11:10:59	ga_ls8c_ard_3-1-0_108084_2020-05-22_final
2020-05-23 10:14:58	ga_ls8c_ard_3-1-0_099083_2020-05-23_final
2020-05-23 10:15:21	ga_ls8c_ard_3-1-0_099084_2020-05-23_final
2020-05-24 09:19:20	ga_ls8c_ard_3-1-0_090083_2020-05-23_final
2020-05-24 09:19:44	ga_ls8c_ard_3-1-0_090084_2020-05-23_final
2020-05-24 10:58:13	ga_ls8c_ard_3-1-0_106083_2020-05-24_final
2020-05-24 10:58:37	ga_ls8c_ard_3-1-0_106084_2020-05-24_final
2020-05-25 10:02:36	ga_ls8c_ard_3-1-0_097083_2020-05-25_final
2020-05-25 10:03:00	ga_ls8c_ard_3-1-0_097084_2020-05-25_final
2020-05-25 11:41:29	ga_ls8c_ard_3-1-0_113083_2020-05-25_final
2020-05-25 11:41:53	ga_ls8c_ard_3-1-0_113084_2020-05-25_final
2020-05-26 09:06:59	ga_ls8c_ard_3-1-0_088083_2020-05-25_final
2020-05-26 09:07:23	ga_ls8c_ard_3-1-0_088084_2020-05-25_final
2020-05-26 10:45:52	ga_ls8c_ard_3-1-0_104083_2020-05-26_final
2020-05-31 09:25:57	ga_ls8c_ard_3-1-0_091084_2020-05-30_final
2020-05-31 11:04:27	ga_ls8c_ard_3-1-0_107083_2020-05-31_final
2020-05-31 11:04:50	ga_ls8c_ard_3-1-0_107084_2020-05-31_final
2020-06-05 09:44:09	ga_ls8c_ard_3-1-0_094083_2020-06-05_final
2020-06-05 09:44:33	ga_ls8c_ard_3-1-0_094084_2020-06-05_final
2020-06-05 11:23:02	ga_ls8c_ard_3-1-0_110083_2020-06-05_final
2020-06-05 11:23:26	ga_ls8c_ard_3-1-0_110084_2020-06-05_final
2020-06-06 10:27:26	ga_ls8c_ard_3-1-0_101083_2020-06-06_final
2020-06-06 10:27:50	ga_ls8c_ard_3-1-0_101084_2020-06-06_final
2020-06-07 09:31:49	ga_ls8c_ard_3-1-0_092083_2020-06-07_final
2020-06-07 09:32:13	ga_ls8c_ard_3-1-0_092084_2020-06-07_final
2020-06-07 11:10:42	ga_ls8c_ard_3-1-0_108083_2020-06-07_final
2020-06-07 11:11:06	ga_ls8c_ard_3-1-0_108084_2020-06-07_final
2020-06-08 10:15:05	ga_ls8c_ard_3-1-0_099083_2020-06-08_final
2020-06-08 10:15:29	ga_ls8c_ard_3-1-0_099084_2020-06-08_final
2020-06-09 09:19:29	ga_ls8c_ard_3-1-0_090083_2020-06-08_final
2020-06-09 09:19:53	ga_ls8c_ard_3-1-0_090084_2020-06-08_final
2020-06-09 10:58:22	ga_ls8c_ard_3-1-0_106083_2020-06-09_final
2020-06-09 10:58:46	ga_ls8c_ard_3-1-0_106084_2020-06-09_final
2020-06-10 10:02:45	ga_ls8c_ard_3-1-0_097083_2020-06-10_final
2020-06-10 10:03:09	ga_ls8c_ard_3-1-0_097084_2020-06-10_final
2020-06-10 11:41:38	ga_ls8c_ard_3-1-0_113083_2020-06-10_final
2020-06-10 11:42:02	ga_ls8c_ard_3-1-0_113084_2020-06-10_final
2020-06-11 09:07:08	ga_ls8c_ard_3-1-0_088083_2020-06-10_final
2020-06-11 09:07:32	ga_ls8c_ard_3-1-0_088084_2020-06-10_final
2020-06-11 10:46:01	ga_ls8c_ard_3-1-0_104083_2020-06-11_final
2020-06-12 09:50:24	ga_ls8c_ard_3-1-0_095083_2020-06-12_final
2020-06-12 09:50:48	ga_ls8c_ard_3-1-0_095084_2020-06-12_final
2020-06-12 11:29:18	ga_ls8c_ard_3-1-0_111083_2020-06-12_final
2020-06-12 11:29:42	ga_ls8c_ard_3-1-0_111084_2020-06-12_final
2020-06-13 10:33:41	ga_ls8c_ard_3-1-0_102083_2020-06-13_final
2020-06-14 09:38:04	ga_ls8c_ard_3-1-0_093083_2020-06-14_final
2020-06-14 09:38:28	ga_ls8c_ard_3-1-0_093084_2020-06-14_final
2020-06-14 11:16:57	ga_ls8c_ard_3-1-0_109083_2020-06-14_final
2020-06-14 11:17:21	ga_ls8c_ard_3-1-0_109084_2020-06-14_final
2020-06-15 10:21:20	ga_ls8c_ard_3-1-0_100083_2020-06-15_final
2020-06-15 10:21:44	ga_ls8c_ard_3-1-0_100084_2020-06-15_final
2023-01-31 10:22:29	ga_ls8c_ard_3-2-1_100084_2023-01-31_final
2023-02-01 09:26:51	ga_ls8c_ard_3-2-1_091084_2023-01-31_final
2023-02-01 11:05:44	ga_ls8c_ard_3-2-1_107084_2023-02-01_final
2023-02-02 10:10:07	ga_ls8c_ard_3-2-1_098084_2023-02-02_final
2023-02-03 09:14:30	ga_ls8c_ard_3-2-1_089084_2023-02-02_final
2023-02-03 10:52:59	ga_ls8c_ard_3-2-1_105083_2023-02-03_final
2023-02-04 09:57:45	ga_ls8c_ard_3-2-1_096084_2023-02-04_final
2023-02-04 11:36:14	ga_ls8c_ard_3-2-1_112083_2023-02-04_final
2023-02-04 11:36:38	ga_ls8c_ard_3-2-1_112084_2023-02-04_final
2023-02-26 09:19:57	ga_ls8c_ard_3-2-1_090083_2023-02-25_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