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
2014-11-23 12:37:38	ga_ls8c_ard_3-2-1_123067_2014-11-23_final
2016-12-30 12:37:41	ga_ls8c_ard_3-2-1_123067_2016-12-30_final
2020-07-30 08:10:39	ga_ls8c_ard_3-2-1_079080_2020-07-29_final
2021-01-25 08:42:33	ga_ls8c_ard_3-2-1_084082_2021-01-24_final
2021-02-11 12:37:33	ga_ls8c_ard_3-2-1_123067_2021-02-11_final
2021-06-02 08:42:10	ga_ls8c_ard_3-2-1_084082_2021-06-01_final
2022-01-05 10:08:59	ga_ls8c_ard_3-2-1_099066_2022-01-05_final
2022-03-01 11:57:24	ga_ls8c_ard_3-2-1_116075_2022-03-01_final
2022-04-02 11:57:07	ga_ls8c_ard_3-2-1_116075_2022-04-02_final
2022-04-03 12:37:12	ga_ls8c_ard_3-2-1_123067_2022-04-03_final
2022-04-21 09:15:32	ga_ls8c_ard_3-2-1_089088_2022-04-20_final
2022-06-08 09:15:48	ga_ls8c_ard_3-2-1_089088_2022-06-07_final
2022-07-07 11:57:38	ga_ls8c_ard_3-2-1_116075_2022-07-07_final
2022-09-28 09:16:21	ga_ls8c_ard_3-2-1_089088_2022-09-27_final
2022-10-06 11:43:02	ga_ls8c_ard_3-2-1_113084_2022-10-06_final
2023-11-12 08:10:52	ga_ls8c_ard_3-2-1_079080_2023-11-11_final
2024-02-11 09:31:33	ga_ls8c_ard_3-2-1_092081_2024-02-11_final
2024-02-12 10:14:49	ga_ls8c_ard_3-2-1_099081_2024-02-12_final
2024-02-13 09:19:59	ga_ls8c_ard_3-2-1_090083_2024-02-12_final
2024-02-14 10:02:26	ga_ls8c_ard_3-2-1_097081_2024-02-14_final
2024-02-14 10:03:14	ga_ls8c_ard_3-2-1_097083_2024-02-14_final
2024-02-15 10:44:29	ga_ls8c_ard_3-2-1_104078_2024-02-15_final
2024-02-16 09:48:28	ga_ls8c_ard_3-2-1_095077_2024-02-16_final
2024-02-16 11:28:09	ga_ls8c_ard_3-2-1_111079_2024-02-16_final
2024-02-16 11:28:33	ga_ls8c_ard_3-2-1_111080_2024-02-16_final
2024-02-18 09:37:42	ga_ls8c_ard_3-2-1_093081_2024-02-18_final
2024-02-18 09:38:06	ga_ls8c_ard_3-2-1_093082_2024-02-18_final
2024-02-18 11:15:23	ga_ls8c_ard_3-2-1_109078_2024-02-18_final
2024-02-18 11:16:35	ga_ls8c_ard_3-2-1_109081_2024-02-18_final
2024-02-20 11:03:01	ga_ls8c_ard_3-2-1_107078_2024-02-20_final
2024-02-22 10:51:03	ga_ls8c_ard_3-2-1_105079_2024-02-22_final
2024-02-23 09:55:26	ga_ls8c_ard_3-2-1_096079_2024-02-23_final
2024-02-23 11:33:07	ga_ls8c_ard_3-2-1_112076_2024-02-23_final
2024-02-24 10:38:17	ga_ls8c_ard_3-2-1_103078_2024-02-24_final
2024-02-25 11:21:56	ga_ls8c_ard_3-2-1_110079_2024-02-25_final
2024-02-26 10:25:06	ga_ls8c_ard_3-2-1_101076_2024-02-26_final
2024-02-27 09:35:04	ga_ls8c_ard_3-2-1_092090_2024-02-27_final
2024-02-27 11:08:45	ga_ls8c_ard_3-2-1_108077_2024-02-27_final
2024-02-28 10:14:43	ga_ls8c_ard_3-2-1_099081_2024-02-28_final
2024-03-01 09:59:56	ga_ls8c_ard_3-2-1_097075_2024-03-01_final
2024-03-01 11:40:25	ga_ls8c_ard_3-2-1_113079_2024-03-01_final
2024-03-03 11:27:37	ga_ls8c_ard_3-2-1_111078_2024-03-03_final
2024-03-05 09:35:56	ga_ls8c_ard_3-2-1_093077_2024-03-05_final
2024-03-09 10:50:28	ga_ls8c_ard_3-2-1_105078_2024-03-09_final
2024-03-11 10:38:29	ga_ls8c_ard_3-2-1_103079_2024-03-11_final
2024-03-14 09:30:53	ga_ls8c_ard_3-2-1_092080_2024-03-14_final
2024-03-16 10:56:12	ga_ls8c_ard_3-2-1_106077_2024-03-16_final
2024-03-17 09:58:10	ga_ls8c_ard_3-2-1_097071_2024-03-17_final
2024-03-18 10:43:01	ga_ls8c_ard_3-2-1_104075_2024-03-18_final
2024-03-18 10:43:25	ga_ls8c_ard_3-2-1_104076_2024-03-18_final
2024-03-18 10:43:49	ga_ls8c_ard_3-2-1_104077_2024-03-18_final
2024-03-23 11:02:40	ga_ls8c_ard_3-2-1_107078_2024-03-23_final
2024-03-25 10:50:40	ga_ls8c_ard_3-2-1_105079_2024-03-25_final
2024-03-26 09:55:25	ga_ls8c_ard_3-2-1_096080_2024-03-26_final
2024-03-26 09:55:48	ga_ls8c_ard_3-2-1_096081_2024-03-26_final
2024-03-28 09:44:12	ga_ls8c_ard_3-2-1_094083_2024-03-28_final
2024-03-28 11:21:53	ga_ls8c_ard_3-2-1_110080_2024-03-28_final
2024-03-30 11:08:45	ga_ls8c_ard_3-2-1_108078_2024-03-30_final
2024-04-03 10:40:50	ga_ls8c_ard_3-2-1_104070_2024-04-03_final
2024-04-03 10:42:26	ga_ls8c_ard_3-2-1_104074_2024-04-03_final
2024-04-03 10:43:38	ga_ls8c_ard_3-2-1_104077_2024-04-03_final
2024-04-03 10:45:14	ga_ls8c_ard_3-2-1_104081_2024-04-03_final
2024-04-06 09:36:03	ga_ls8c_ard_3-2-1_093078_2024-04-06_final
2024-04-08 11:02:57	ga_ls8c_ard_3-2-1_107079_2024-04-08_final
2024-04-09 10:05:44	ga_ls8c_ard_3-2-1_098075_2024-04-09_final
2024-04-09 10:08:32	ga_ls8c_ard_3-2-1_098082_2024-04-09_final
2024-04-10 10:50:35	ga_ls8c_ard_3-2-1_105079_2024-04-10_final
2024-04-11 09:53:22	ga_ls8c_ard_3-2-1_096075_2024-04-11_final
2024-04-11 09:55:45	ga_ls8c_ard_3-2-1_096081_2024-04-11_final
2024-04-11 09:56:09	ga_ls8c_ard_3-2-1_096082_2024-04-11_final
2024-04-11 11:33:50	ga_ls8c_ard_3-2-1_112079_2024-04-11_final
2024-04-12 10:36:37	ga_ls8c_ard_3-2-1_103075_2024-04-12_final
2024-04-12 10:37:01	ga_ls8c_ard_3-2-1_103076_2024-04-12_final
2024-04-12 10:37:49	ga_ls8c_ard_3-2-1_103078_2024-04-12_final
2024-04-13 09:41:23	ga_ls8c_ard_3-2-1_094076_2024-04-13_final
2024-04-15 11:05:53	ga_ls8c_ard_3-2-1_108071_2024-04-15_final
2024-04-17 09:18:12	ga_ls8c_ard_3-2-1_090080_2024-04-16_final
2024-04-17 10:55:53	ga_ls8c_ard_3-2-1_106077_2024-04-17_final
2024-04-18 10:01:50	ga_ls8c_ard_3-2-1_097081_2024-04-18_final
2024-04-19 10:43:05	ga_ls8c_ard_3-2-1_104076_2024-04-19_final
2024-04-20 09:49:03	ga_ls8c_ard_3-2-1_095080_2024-04-20_final
2024-04-20 11:27:08	ga_ls8c_ard_3-2-1_111078_2024-04-20_final
2024-04-20 11:27:56	ga_ls8c_ard_3-2-1_111080_2024-04-20_final
2024-04-21 10:30:43	ga_ls8c_ard_3-2-1_102076_2024-04-21_final
2024-04-22 09:35:06	ga_ls8c_ard_3-2-1_093076_2024-04-22_final
2024-04-22 11:15:59	ga_ls8c_ard_3-2-1_109081_2024-04-22_final
2024-04-25 10:07:59	ga_ls8c_ard_3-2-1_098081_2024-04-25_final
2024-04-27 09:54:48	ga_ls8c_ard_3-2-1_096079_2024-04-27_final
2024-04-27 09:55:36	ga_ls8c_ard_3-2-1_096081_2024-04-27_final
2024-04-28 10:38:03	ga_ls8c_ard_3-2-1_103079_2024-04-28_final
2024-04-29 11:21:41	ga_ls8c_ard_3-2-1_110080_2024-04-29_final
2024-05-02 10:11:39	ga_ls8c_ard_3-2-1_099075_2024-05-02_final
2024-05-02 10:14:03	ga_ls8c_ard_3-2-1_099081_2024-05-02_final
2024-05-03 10:57:42	ga_ls8c_ard_3-2-1_106082_2024-05-03_final
2024-05-04 10:02:04	ga_ls8c_ard_3-2-1_097082_2024-05-04_final
2024-05-04 10:02:28	ga_ls8c_ard_3-2-1_097083_2024-05-04_final
2024-05-05 10:43:20	ga_ls8c_ard_3-2-1_104077_2024-05-05_final
2024-05-06 11:26:35	ga_ls8c_ard_3-2-1_111077_2024-05-06_final
2024-05-06 11:27:23	ga_ls8c_ard_3-2-1_111079_2024-05-06_final
2024-05-08 11:15:48	ga_ls8c_ard_3-2-1_109081_2024-05-08_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