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:

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First 100 results (query limit)

Time (local)	Label
2017-12-16 08:42:35	ga_ls8c_ard_3-2-1_084082_2017-12-15_final
2023-03-22 10:05:12	ga_ls8c_ard_3-2-1_098073_2023-03-22_final
2023-03-22 11:47:17	ga_ls8c_ard_3-2-1_114081_2023-03-22_final
2023-03-23 10:47:39	ga_ls8c_ard_3-2-1_105071_2023-03-23_final
2023-06-02 10:56:29	ga_ls8c_ard_3-2-1_106079_2023-06-02_final
2023-06-04 10:40:34	ga_ls8c_ard_3-2-1_104070_2023-06-04_final
2023-06-04 10:40:58	ga_ls8c_ard_3-2-1_104071_2023-06-04_final
2023-06-12 09:55:13	ga_ls8c_ard_3-2-1_096080_2023-06-12_final
2023-06-16 09:31:19	ga_ls8c_ard_3-2-1_092082_2023-06-16_final
2023-06-24 11:56:53	ga_ls8c_ard_3-2-1_116075_2023-06-24_final
2023-06-24 11:57:17	ga_ls8c_ard_3-2-1_116076_2023-06-24_final
2023-06-25 09:25:11	ga_ls8c_ard_3-2-1_091082_2023-06-24_final
2023-07-03 10:15:57	ga_ls8c_ard_3-2-1_099085_2023-07-03_final
2023-07-04 10:56:25	ga_ls8c_ard_3-2-1_106078_2023-07-04_final
2023-07-05 09:59:37	ga_ls8c_ard_3-2-1_097075_2023-07-05_final
2023-07-09 09:37:19	ga_ls8c_ard_3-2-1_093081_2023-07-09_final
2023-07-13 10:51:06	ga_ls8c_ard_3-2-1_105080_2023-07-13_final
2023-07-14 09:54:41	ga_ls8c_ard_3-2-1_096078_2023-07-14_final
2023-07-18 09:30:22	ga_ls8c_ard_3-2-1_092079_2023-07-18_final
2023-07-21 11:40:08	ga_ls8c_ard_3-2-1_113079_2023-07-21_final
2023-07-22 10:42:56	ga_ls8c_ard_3-2-1_104075_2023-07-22_final
2023-07-24 10:29:25	ga_ls8c_ard_3-2-1_102072_2023-07-24_final
2023-07-24 10:31:25	ga_ls8c_ard_3-2-1_102077_2023-07-24_final
2023-07-29 10:50:49	ga_ls8c_ard_3-2-1_105079_2023-07-29_final
2023-08-01 11:21:21	ga_ls8c_ard_3-2-1_110078_2023-08-01_final
2023-08-03 09:31:42	ga_ls8c_ard_3-2-1_092082_2023-08-03_final
2023-08-05 09:18:33	ga_ls8c_ard_3-2-1_090080_2023-08-04_final
2023-08-07 10:41:05	ga_ls8c_ard_3-2-1_104070_2023-08-07_final
2023-08-10 09:35:30	ga_ls8c_ard_3-2-1_093076_2023-08-10_final
2023-08-10 11:15:58	ga_ls8c_ard_3-2-1_109080_2023-08-10_final
2023-08-22 10:03:08	ga_ls8c_ard_3-2-1_097083_2023-08-22_final
2023-08-23 10:43:13	ga_ls8c_ard_3-2-1_104075_2023-08-23_final
2023-08-23 10:45:12	ga_ls8c_ard_3-2-1_104080_2023-08-23_final
2023-08-24 09:48:00	ga_ls8c_ard_3-2-1_095076_2023-08-24_final
2023-08-26 11:12:56	ga_ls8c_ard_3-2-1_109072_2023-08-26_final
2023-08-26 11:15:19	ga_ls8c_ard_3-2-1_109078_2023-08-26_final
2023-08-30 10:51:24	ga_ls8c_ard_3-2-1_105080_2023-08-30_final
2023-08-31 11:31:52	ga_ls8c_ard_3-2-1_112073_2023-08-31_final
2023-09-04 09:32:14	ga_ls8c_ard_3-2-1_092083_2023-09-04_final
2023-09-09 09:49:35	ga_ls8c_ard_3-2-1_095080_2023-09-09_final
2023-09-13 11:02:36	ga_ls8c_ard_3-2-1_107077_2023-09-13_final
2023-09-15 10:47:28	ga_ls8c_ard_3-2-1_105070_2023-09-15_final
2023-09-18 09:41:29	ga_ls8c_ard_3-2-1_094075_2023-09-18_final
2023-09-20 09:29:56	ga_ls8c_ard_3-2-1_092077_2023-09-19_final
2023-09-23 09:59:14	ga_ls8c_ard_3-2-1_097073_2023-09-23_final
2023-09-25 11:28:58	ga_ls8c_ard_3-2-1_111081_2023-09-25_final
2023-10-01 09:15:50	ga_ls8c_ard_3-2-1_089088_2023-09-30_final
2023-10-02 11:33:59	ga_ls8c_ard_3-2-1_112078_2023-10-02_final
2023-10-06 09:29:58	ga_ls8c_ard_3-2-1_092077_2023-10-05_final
2023-10-09 10:00:06	ga_ls8c_ard_3-2-1_097075_2023-10-09_final
2023-10-10 10:41:47	ga_ls8c_ard_3-2-1_104071_2023-10-10_final
2023-10-13 09:39:00	ga_ls8c_ard_3-2-1_093084_2023-10-13_final
2023-10-22 09:30:01	ga_ls8c_ard_3-2-1_092077_2023-10-22_final
2023-10-24 09:18:53	ga_ls8c_ard_3-2-1_090080_2023-10-23_final
2023-10-25 10:03:21	ga_ls8c_ard_3-2-1_097083_2023-10-25_final
2023-10-25 11:40:14	ga_ls8c_ard_3-2-1_113078_2023-10-25_final
2023-10-29 11:15:32	ga_ls8c_ard_3-2-1_109078_2023-10-29_final
2023-11-04 10:39:14	ga_ls8c_ard_3-2-1_103080_2023-11-04_final
2023-11-09 09:20:01	ga_ls8c_ard_3-2-1_090083_2023-11-08_final
2023-11-09 10:58:06	ga_ls8c_ard_3-2-1_106081_2023-11-09_final
2023-11-10 11:38:58	ga_ls8c_ard_3-2-1_113075_2023-11-10_final
2023-11-16 11:01:10	ga_ls8c_ard_3-2-1_107073_2023-11-16_final
2023-11-17 11:45:38	ga_ls8c_ard_3-2-1_114076_2023-11-17_final
2023-11-21 09:42:04	ga_ls8c_ard_3-2-1_094076_2023-11-21_final
2023-11-22 10:26:31	ga_ls8c_ard_3-2-1_101079_2023-11-22_final
2023-11-29 10:33:05	ga_ls8c_ard_3-2-1_102080_2023-11-29_final
2023-12-02 11:03:33	ga_ls8c_ard_3-2-1_107079_2023-12-02_final
2023-12-09 09:32:22	ga_ls8c_ard_3-2-1_092083_2023-12-09_final
2023-12-11 09:19:14	ga_ls8c_ard_3-2-1_090081_2023-12-10_final
2023-12-14 11:29:03	ga_ls8c_ard_3-2-1_111081_2023-12-14_final
2023-12-17 10:18:18	ga_ls8c_ard_3-2-1_100074_2023-12-17_final
2023-12-18 09:24:17	ga_ls8c_ard_3-2-1_091078_2023-12-17_final
2023-12-20 10:50:49	ga_ls8c_ard_3-2-1_105078_2023-12-20_final
2023-12-23 09:42:02	ga_ls8c_ard_3-2-1_094076_2023-12-23_final
2023-12-31 10:31:24	ga_ls8c_ard_3-2-1_102076_2023-12-31_final
2024-01-05 10:47:52	ga_ls8c_ard_3-2-1_105071_2024-01-05_final
2024-01-21 10:51:29	ga_ls8c_ard_3-2-1_105080_2024-01-21_final
2024-01-22 09:55:27	ga_ls8c_ard_3-2-1_096079_2024-01-22_final
2024-01-22 11:32:44	ga_ls8c_ard_3-2-1_112075_2024-01-22_final
2024-01-24 09:43:51	ga_ls8c_ard_3-2-1_094081_2024-01-24_final
2024-01-29 11:38:52	ga_ls8c_ard_3-2-1_113075_2024-01-29_final
2024-01-31 09:48:51	ga_ls8c_ard_3-2-1_095078_2024-01-31_final
2024-02-02 09:35:43	ga_ls8c_ard_3-2-1_093076_2024-02-02_final
2024-02-02 11:15:00	ga_ls8c_ard_3-2-1_109077_2024-02-02_final
2024-02-07 09:56:41	ga_ls8c_ard_3-2-1_096082_2024-02-07_final
2024-02-15 10:42:05	ga_ls8c_ard_3-2-1_104072_2024-02-15_final
2024-02-18 09:36:06	ga_ls8c_ard_3-2-1_093077_2024-02-18_final
2024-02-21 10:06:12	ga_ls8c_ard_3-2-1_098075_2024-02-21_final
2024-02-23 09:56:37	ga_ls8c_ard_3-2-1_096082_2024-02-23_final
2024-02-25 11:21:56	ga_ls8c_ard_3-2-1_110079_2024-02-25_final
2024-02-25 11:24:20	ga_ls8c_ard_3-2-1_110085_2024-02-25_final
2024-02-27 09:29:52	ga_ls8c_ard_3-2-1_092077_2024-02-26_final
2024-03-03 11:30:01	ga_ls8c_ard_3-2-1_111084_2024-03-03_final
2024-03-06 10:20:46	ga_ls8c_ard_3-2-1_100081_2024-03-06_final
2024-03-10 09:56:02	ga_ls8c_ard_3-2-1_096081_2024-03-10_final
2024-03-19 11:29:03	ga_ls8c_ard_3-2-1_111082_2024-03-19_final
2024-03-25 10:47:28	ga_ls8c_ard_3-2-1_105071_2024-03-25_final
2024-03-26 11:32:18	ga_ls8c_ard_3-2-1_112075_2024-03-26_final
2024-03-30 09:29:52	ga_ls8c_ard_3-2-1_092078_2024-03-29_final
2024-03-30 09:31:03	ga_ls8c_ard_3-2-1_092081_2024-03-30_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