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
2023-01-15 08:42:44	ga_ls8c_ard_3-2-1_084082_2023-01-14_final
2023-05-26 09:15:01	ga_ls8c_ard_3-2-1_089088_2023-05-25_final
2023-08-07 10:44:41	ga_ls8c_ard_3-2-1_104079_2023-08-07_final
2023-08-10 09:36:17	ga_ls8c_ard_3-2-1_093078_2023-08-10_final
2023-08-14 10:50:54	ga_ls8c_ard_3-2-1_105079_2023-08-14_final
2023-08-17 09:41:46	ga_ls8c_ard_3-2-1_094076_2023-08-17_final
2023-08-22 11:40:02	ga_ls8c_ard_3-2-1_113078_2023-08-22_final
2023-08-23 10:44:24	ga_ls8c_ard_3-2-1_104078_2023-08-23_final
2023-08-25 10:32:03	ga_ls8c_ard_3-2-1_102078_2023-08-25_final
2023-08-26 09:37:38	ga_ls8c_ard_3-2-1_093081_2023-08-26_final
2023-08-30 10:51:00	ga_ls8c_ard_3-2-1_105079_2023-08-30_final
2023-08-31 09:56:34	ga_ls8c_ard_3-2-1_096082_2023-08-31_final
2023-09-02 11:23:05	ga_ls8c_ard_3-2-1_110082_2023-09-02_final
2023-09-04 11:08:19	ga_ls8c_ard_3-2-1_108076_2023-09-04_final
2023-09-06 09:19:51	ga_ls8c_ard_3-2-1_090083_2023-09-05_final
2023-09-06 10:57:56	ga_ls8c_ard_3-2-1_106081_2023-09-06_final
2023-09-07 10:02:19	ga_ls8c_ard_3-2-1_097081_2023-09-07_final
2023-09-10 10:32:52	ga_ls8c_ard_3-2-1_102080_2023-09-10_final
2023-09-11 11:16:08	ga_ls8c_ard_3-2-1_109080_2023-09-11_final
2023-09-15 10:51:27	ga_ls8c_ard_3-2-1_105080_2023-09-15_final
2023-09-23 11:40:31	ga_ls8c_ard_3-2-1_113079_2023-09-23_final
2023-09-23 11:41:19	ga_ls8c_ard_3-2-1_113081_2023-09-23_final
2023-09-26 10:31:22	ga_ls8c_ard_3-2-1_102076_2023-09-26_final
2023-09-27 09:36:57	ga_ls8c_ard_3-2-1_093079_2023-09-27_final
2023-09-27 09:38:09	ga_ls8c_ard_3-2-1_093082_2023-09-27_final
2023-09-28 10:20:37	ga_ls8c_ard_3-2-1_100080_2023-09-28_final
2023-10-01 10:50:43	ga_ls8c_ard_3-2-1_105078_2023-10-01_final
2023-10-02 11:32:47	ga_ls8c_ard_3-2-1_112075_2023-10-02_final
2023-10-06 09:30:46	ga_ls8c_ard_3-2-1_092079_2023-10-06_final
2023-10-09 10:02:54	ga_ls8c_ard_3-2-1_097082_2023-10-09_final
2023-10-10 10:44:35	ga_ls8c_ard_3-2-1_104078_2023-10-10_final
2023-10-13 09:37:00	ga_ls8c_ard_3-2-1_093079_2023-10-13_final
2023-10-16 10:09:06	ga_ls8c_ard_3-2-1_098082_2023-10-16_final
2023-10-17 10:51:09	ga_ls8c_ard_3-2-1_105079_2023-10-17_final
2023-10-20 09:41:57	ga_ls8c_ard_3-2-1_094076_2023-10-20_final
2023-10-21 10:27:14	ga_ls8c_ard_3-2-1_101081_2023-10-21_final
2023-10-30 10:20:43	ga_ls8c_ard_3-2-1_100080_2023-10-30_final
2023-10-30 11:58:24	ga_ls8c_ard_3-2-1_116077_2023-10-30_final
2023-11-01 10:08:45	ga_ls8c_ard_3-2-1_098081_2023-11-01_final
2023-11-03 11:33:16	ga_ls8c_ard_3-2-1_112076_2023-11-03_final
2023-11-03 11:34:04	ga_ls8c_ard_3-2-1_112078_2023-11-03_final
2023-11-04 10:38:26	ga_ls8c_ard_3-2-1_103078_2023-11-04_final
2023-11-10 10:00:05	ga_ls8c_ard_3-2-1_097075_2023-11-10_final
2023-11-11 10:44:57	ga_ls8c_ard_3-2-1_104079_2023-11-11_final
2023-11-12 11:27:26	ga_ls8c_ard_3-2-1_111077_2023-11-12_final
2023-11-20 10:38:52	ga_ls8c_ard_3-2-1_103079_2023-11-20_final
2023-11-27 10:45:04	ga_ls8c_ard_3-2-1_104079_2023-11-27_final
2023-12-01 10:21:06	ga_ls8c_ard_3-2-1_100081_2023-12-01_final
2023-12-05 09:55:30	ga_ls8c_ard_3-2-1_096079_2023-12-05_final
2023-12-05 11:34:23	ga_ls8c_ard_3-2-1_112079_2023-12-05_final
2023-12-14 09:47:47	ga_ls8c_ard_3-2-1_095075_2023-12-14_final
2023-12-16 11:16:19	ga_ls8c_ard_3-2-1_109080_2023-12-16_final
2023-12-17 10:21:06	ga_ls8c_ard_3-2-1_100081_2023-12-17_final
2023-12-18 11:02:46	ga_ls8c_ard_3-2-1_107077_2023-12-18_final
2023-12-23 11:21:43	ga_ls8c_ard_3-2-1_110078_2023-12-23_final
2024-01-01 11:17:27	ga_ls8c_ard_3-2-1_109083_2024-01-01_final
2024-01-02 10:21:01	ga_ls8c_ard_3-2-1_100081_2024-01-02_final
2024-01-13 10:00:05	ga_ls8c_ard_3-2-1_097075_2024-01-13_final
2024-01-14 10:41:21	ga_ls8c_ard_3-2-1_104070_2024-01-14_final
2024-01-15 09:48:32	ga_ls8c_ard_3-2-1_095077_2024-01-15_final
2024-01-15 09:48:56	ga_ls8c_ard_3-2-1_095078_2024-01-15_final
2024-01-20 10:09:02	ga_ls8c_ard_3-2-1_098082_2024-01-20_final
2024-01-22 09:55:51	ga_ls8c_ard_3-2-1_096080_2024-01-22_final
2024-01-22 11:33:56	ga_ls8c_ard_3-2-1_112078_2024-01-22_final
2024-01-24 09:43:51	ga_ls8c_ard_3-2-1_094081_2024-01-24_final
2024-01-31 09:49:39	ga_ls8c_ard_3-2-1_095080_2024-01-31_final
2024-01-31 11:27:20	ga_ls8c_ard_3-2-1_111077_2024-01-31_final
2024-02-02 11:15:24	ga_ls8c_ard_3-2-1_109078_2024-02-02_final
2024-02-07 09:54:17	ga_ls8c_ard_3-2-1_096076_2024-02-07_final
2024-02-07 09:55:05	ga_ls8c_ard_3-2-1_096078_2024-02-07_final
2024-02-07 11:34:22	ga_ls8c_ard_3-2-1_112079_2024-02-07_final
2024-02-16 09:49:16	ga_ls8c_ard_3-2-1_095079_2024-02-16_final
2024-02-18 11:14:59	ga_ls8c_ard_3-2-1_109077_2024-02-18_final
2024-02-18 11:15:23	ga_ls8c_ard_3-2-1_109078_2024-02-18_final
2024-02-21 10:09:00	ga_ls8c_ard_3-2-1_098082_2024-02-21_final
2024-02-23 11:33:07	ga_ls8c_ard_3-2-1_112076_2024-02-23_final
2024-02-23 11:33:31	ga_ls8c_ard_3-2-1_112077_2024-02-23_final
2024-02-24 10:39:53	ga_ls8c_ard_3-2-1_103082_2024-02-24_final
2024-02-29 12:31:16	ga_ls8c_ard_3-2-1_122067_2024-02-29_final
2024-03-05 11:15:37	ga_ls8c_ard_3-2-1_109079_2024-03-05_final
2024-03-06 11:58:04	ga_ls8c_ard_3-2-1_116077_2024-03-06_final
2024-03-10 09:55:14	ga_ls8c_ard_3-2-1_096079_2024-03-10_final
2024-03-17 10:00:34	ga_ls8c_ard_3-2-1_097077_2024-03-17_final
2024-03-19 09:49:23	ga_ls8c_ard_3-2-1_095080_2024-03-19_final
2024-03-26 11:34:17	ga_ls8c_ard_3-2-1_112080_2024-03-26_final
2024-03-28 11:21:05	ga_ls8c_ard_3-2-1_110078_2024-03-28_final
2024-03-31 10:14:19	ga_ls8c_ard_3-2-1_099081_2024-03-31_final
2024-04-01 09:19:30	ga_ls8c_ard_3-2-1_090083_2024-03-31_final
2024-04-01 10:55:59	ga_ls8c_ard_3-2-1_106077_2024-04-01_final
2024-04-02 10:01:58	ga_ls8c_ard_3-2-1_097081_2024-04-02_final
2024-04-02 11:40:03	ga_ls8c_ard_3-2-1_113079_2024-04-02_final
2024-04-06 11:12:32	ga_ls8c_ard_3-2-1_109072_2024-04-06_final
2024-04-07 10:20:30	ga_ls8c_ard_3-2-1_100081_2024-04-07_final
2024-04-10 10:49:47	ga_ls8c_ard_3-2-1_105077_2024-04-10_nrt
2024-04-10 10:50:35	ga_ls8c_ard_3-2-1_105079_2024-04-10_nrt
2024-04-11 09:53:22	ga_ls8c_ard_3-2-1_096075_2024-04-11_nrt
2024-04-11 09:57:45	ga_ls8c_ard_3-2-1_096086_2024-04-11_nrt
2024-04-13 09:40:59	ga_ls8c_ard_3-2-1_094075_2024-04-13_nrt
2024-04-13 09:41:23	ga_ls8c_ard_3-2-1_094076_2024-04-13_nrt
2024-04-22 09:37:30	ga_ls8c_ard_3-2-1_093082_2024-04-22_nrt

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