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
2018-12-13 12:31:09	ga_ls8c_ard_3-2-1_122067_2018-12-13_final
2020-06-16 12:37:07	ga_ls8c_ard_3-2-1_123067_2020-06-16_final
2020-08-12 12:31:15	ga_ls8c_ard_3-2-1_122067_2020-08-12_final
2020-10-21 08:42:45	ga_ls8c_ard_3-2-1_084082_2020-10-20_final
2022-05-07 09:15:34	ga_ls8c_ard_3-2-1_089088_2022-05-06_final
2022-07-24 12:37:48	ga_ls8c_ard_3-2-1_123067_2022-07-24_final
2022-10-08 08:11:17	ga_ls8c_ard_3-2-1_079080_2022-10-07_final
2023-04-16 11:41:59	ga_ls8c_ard_3-2-1_113084_2023-04-16_final
2023-07-20 12:30:58	ga_ls8c_ard_3-2-1_122067_2023-07-20_final
2023-09-24 10:43:18	ga_ls8c_ard_3-2-1_104075_2023-09-24_final
2023-09-24 10:43:42	ga_ls8c_ard_3-2-1_104076_2023-09-24_final
2023-09-30 10:09:04	ga_ls8c_ard_3-2-1_098082_2023-09-30_final
2023-10-02 11:32:47	ga_ls8c_ard_3-2-1_112075_2023-10-02_final
2023-10-04 11:22:25	ga_ls8c_ard_3-2-1_110080_2023-10-04_final
2023-10-04 11:22:49	ga_ls8c_ard_3-2-1_110081_2023-10-04_final
2023-10-06 09:30:22	ga_ls8c_ard_3-2-1_092078_2023-10-06_final
2023-10-11 09:48:10	ga_ls8c_ard_3-2-1_095076_2023-10-11_final
2023-10-13 09:37:00	ga_ls8c_ard_3-2-1_093079_2023-10-13_final
2023-10-13 09:37:24	ga_ls8c_ard_3-2-1_093080_2023-10-13_final
2023-10-20 09:42:21	ga_ls8c_ard_3-2-1_094077_2023-10-20_final
2023-10-20 09:43:33	ga_ls8c_ard_3-2-1_094080_2023-10-20_final
2023-10-20 09:44:45	ga_ls8c_ard_3-2-1_094083_2023-10-20_final
2023-10-22 09:30:25	ga_ls8c_ard_3-2-1_092078_2023-10-22_final
2023-10-26 10:45:49	ga_ls8c_ard_3-2-1_104081_2023-10-26_final
2023-11-01 10:09:09	ga_ls8c_ard_3-2-1_098082_2023-11-01_final
2023-11-04 10:37:15	ga_ls8c_ard_3-2-1_103075_2023-11-04_final
2023-11-08 10:12:28	ga_ls8c_ard_3-2-1_099075_2023-11-08_final
2023-11-08 10:14:52	ga_ls8c_ard_3-2-1_099081_2023-11-08_final
2023-11-09 09:18:50	ga_ls8c_ard_3-2-1_090080_2023-11-08_final
2023-11-10 10:00:53	ga_ls8c_ard_3-2-1_097077_2023-11-10_final
2023-11-10 11:39:22	ga_ls8c_ard_3-2-1_113076_2023-11-10_final
2023-11-10 11:40:34	ga_ls8c_ard_3-2-1_113079_2023-11-10_final
2023-11-12 11:27:26	ga_ls8c_ard_3-2-1_111077_2023-11-12_final
2023-11-17 10:06:45	ga_ls8c_ard_3-2-1_098076_2023-11-17_final
2023-11-21 09:43:15	ga_ls8c_ard_3-2-1_094079_2023-11-21_final
2023-11-21 09:44:51	ga_ls8c_ard_3-2-1_094083_2023-11-21_final
2023-11-28 09:49:26	ga_ls8c_ard_3-2-1_095079_2023-11-28_final
2023-11-28 11:28:43	ga_ls8c_ard_3-2-1_111080_2023-11-28_final
2023-11-30 11:12:21	ga_ls8c_ard_3-2-1_109070_2023-11-30_final
2023-11-30 11:15:56	ga_ls8c_ard_3-2-1_109079_2023-11-30_final
2023-12-05 09:55:06	ga_ls8c_ard_3-2-1_096078_2023-12-05_final
2023-12-05 09:55:30	ga_ls8c_ard_3-2-1_096079_2023-12-05_final
2023-12-05 09:55:54	ga_ls8c_ard_3-2-1_096080_2023-12-05_final
2023-12-07 11:21:59	ga_ls8c_ard_3-2-1_110079_2023-12-07_final
2023-12-12 10:00:07	ga_ls8c_ard_3-2-1_097075_2023-12-12_final
2023-12-12 10:00:31	ga_ls8c_ard_3-2-1_097076_2023-12-12_final
2023-12-14 11:27:28	ga_ls8c_ard_3-2-1_111077_2023-12-14_final
2023-12-14 11:28:39	ga_ls8c_ard_3-2-1_111080_2023-12-14_final
2023-12-14 11:29:03	ga_ls8c_ard_3-2-1_111081_2023-12-14_final
2023-12-16 11:15:55	ga_ls8c_ard_3-2-1_109079_2023-12-16_final
2023-12-18 09:24:41	ga_ls8c_ard_3-2-1_091079_2023-12-17_final
2023-12-18 11:03:10	ga_ls8c_ard_3-2-1_107078_2023-12-18_final
2023-12-30 09:48:09	ga_ls8c_ard_3-2-1_095076_2023-12-30_final
2023-12-30 11:28:38	ga_ls8c_ard_3-2-1_111080_2023-12-30_final
2024-01-01 11:15:51	ga_ls8c_ard_3-2-1_109079_2024-01-01_final
2024-01-04 10:06:37	ga_ls8c_ard_3-2-1_098076_2024-01-04_final
2024-01-06 09:53:51	ga_ls8c_ard_3-2-1_096075_2024-01-06_final
2024-01-09 10:26:23	ga_ls8c_ard_3-2-1_101079_2024-01-09_final
2024-01-13 10:00:53	ga_ls8c_ard_3-2-1_097077_2024-01-13_final
2024-01-17 11:15:50	ga_ls8c_ard_3-2-1_109079_2024-01-17_final
2024-01-19 11:03:04	ga_ls8c_ard_3-2-1_107078_2024-01-19_final
2024-01-21 10:50:41	ga_ls8c_ard_3-2-1_105078_2024-01-21_final
2024-01-22 09:55:51	ga_ls8c_ard_3-2-1_096080_2024-01-22_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
2024-02-02 11:15:48	ga_ls8c_ard_3-2-1_109079_2024-02-02_final
2024-02-04 11:03:03	ga_ls8c_ard_3-2-1_107078_2024-02-04_final
2024-02-05 10:08:38	ga_ls8c_ard_3-2-1_098081_2024-02-05_final
2024-02-06 10:50:42	ga_ls8c_ard_3-2-1_105078_2024-02-06_final
2024-02-07 09:54:41	ga_ls8c_ard_3-2-1_096077_2024-02-07_final
2024-02-09 11:21:36	ga_ls8c_ard_3-2-1_110078_2024-02-09_final
2024-02-09 11:22:00	ga_ls8c_ard_3-2-1_110079_2024-02-09_final
2024-02-11 11:10:02	ga_ls8c_ard_3-2-1_108080_2024-02-11_final
2024-02-14 11:39:19	ga_ls8c_ard_3-2-1_113076_2024-02-14_final
2024-02-16 09:48:52	ga_ls8c_ard_3-2-1_095078_2024-02-16_final
2024-02-17 10:32:31	ga_ls8c_ard_3-2-1_102079_2024-02-17_final
2024-02-21 10:08:36	ga_ls8c_ard_3-2-1_098081_2024-02-21_final
2024-02-21 10:09:00	ga_ls8c_ard_3-2-1_098082_2024-02-21_final
2024-02-22 10:50:39	ga_ls8c_ard_3-2-1_105078_2024-02-22_final
2024-02-23 09:55:26	ga_ls8c_ard_3-2-1_096079_2024-02-23_final
2024-02-24 10:39:53	ga_ls8c_ard_3-2-1_103082_2024-02-24_final
2024-02-25 09:42:39	ga_ls8c_ard_3-2-1_094078_2024-02-25_final
2024-02-29 09:19:05	ga_ls8c_ard_3-2-1_090081_2024-02-28_final
2024-03-01 10:02:20	ga_ls8c_ard_3-2-1_097081_2024-03-01_final
2024-03-01 11:39:13	ga_ls8c_ard_3-2-1_113076_2024-03-01_final
2024-03-04 10:32:23	ga_ls8c_ard_3-2-1_102079_2024-03-04_final
2024-03-05 09:35:56	ga_ls8c_ard_3-2-1_093077_2024-03-05_final
2024-03-06 11:58:04	ga_ls8c_ard_3-2-1_116077_2024-03-06_final
2024-03-08 10:08:48	ga_ls8c_ard_3-2-1_098082_2024-03-08_final
2024-03-09 10:50:28	ga_ls8c_ard_3-2-1_105078_2024-03-09_final
2024-03-12 09:44:28	ga_ls8c_ard_3-2-1_094083_2024-03-12_final
2024-03-14 11:08:35	ga_ls8c_ard_3-2-1_108077_2024-03-14_final
2024-03-17 10:00:10	ga_ls8c_ard_3-2-1_097076_2024-03-17_final
2024-03-17 11:40:15	ga_ls8c_ard_3-2-1_113079_2024-03-17_final
2024-03-18 10:44:13	ga_ls8c_ard_3-2-1_104078_2024-03-18_final
2024-03-26 11:32:18	ga_ls8c_ard_3-2-1_112075_2024-03-26_final
2024-03-30 11:08:45	ga_ls8c_ard_3-2-1_108078_2024-03-30_final
2024-04-02 10:02:22	ga_ls8c_ard_3-2-1_097082_2024-04-02_final
2024-04-02 11:38:27	ga_ls8c_ard_3-2-1_113075_2024-04-02_final
2024-04-03 10:44:26	ga_ls8c_ard_3-2-1_104079_2024-04-03_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