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
2022-11-25 08:11:16	ga_ls8c_ard_3-2-1_079080_2022-11-24_final
2023-03-20 08:42:19	ga_ls8c_ard_3-2-1_084082_2023-03-19_final
2023-08-24 08:10:42	ga_ls8c_ard_3-2-1_079080_2023-08-23_final
2023-10-13 11:16:41	ga_ls8c_ard_3-2-1_109081_2023-10-13_final
2023-10-15 09:24:15	ga_ls8c_ard_3-2-1_091078_2023-10-14_final
2023-10-21 10:24:26	ga_ls8c_ard_3-2-1_101074_2023-10-21_final
2023-10-22 09:32:01	ga_ls8c_ard_3-2-1_092082_2023-10-22_final
2023-10-22 11:11:42	ga_ls8c_ard_3-2-1_108084_2023-10-22_final
2023-10-30 10:18:43	ga_ls8c_ard_3-2-1_100075_2023-10-30_final
2023-10-30 10:20:19	ga_ls8c_ard_3-2-1_100079_2023-10-30_final
2023-11-03 09:57:11	ga_ls8c_ard_3-2-1_096083_2023-11-03_final
2023-11-03 11:33:16	ga_ls8c_ard_3-2-1_112076_2023-11-03_final
2023-11-04 10:38:50	ga_ls8c_ard_3-2-1_103079_2023-11-04_final
2023-11-05 09:41:37	ga_ls8c_ard_3-2-1_094075_2023-11-05_final
2023-11-12 11:27:26	ga_ls8c_ard_3-2-1_111077_2023-11-12_final
2023-11-14 09:36:13	ga_ls8c_ard_3-2-1_093077_2023-11-14_final
2023-11-16 11:01:58	ga_ls8c_ard_3-2-1_107075_2023-11-16_final
2023-11-16 11:02:46	ga_ls8c_ard_3-2-1_107077_2023-11-16_final
2023-11-19 11:34:29	ga_ls8c_ard_3-2-1_112079_2023-11-19_final
2023-11-19 11:35:17	ga_ls8c_ard_3-2-1_112081_2023-11-19_final
2023-11-21 09:44:51	ga_ls8c_ard_3-2-1_094083_2023-11-21_final
2023-11-21 11:22:08	ga_ls8c_ard_3-2-1_110079_2023-11-21_final
2023-11-24 10:15:22	ga_ls8c_ard_3-2-1_099082_2023-11-24_final
2023-11-27 10:42:16	ga_ls8c_ard_3-2-1_104072_2023-11-27_final
2023-11-28 11:28:43	ga_ls8c_ard_3-2-1_111080_2023-11-28_final
2023-11-30 11:15:08	ga_ls8c_ard_3-2-1_109077_2023-11-30_final
2023-12-03 10:08:42	ga_ls8c_ard_3-2-1_098081_2023-12-03_final
2023-12-05 11:33:35	ga_ls8c_ard_3-2-1_112077_2023-12-05_final
2023-12-05 11:34:23	ga_ls8c_ard_3-2-1_112079_2023-12-05_final
2023-12-05 11:34:47	ga_ls8c_ard_3-2-1_112080_2023-12-05_final
2023-12-06 10:36:45	ga_ls8c_ard_3-2-1_103074_2023-12-06_final
2023-12-09 09:30:22	ga_ls8c_ard_3-2-1_092078_2023-12-09_final
2023-12-10 10:12:03	ga_ls8c_ard_3-2-1_099074_2023-12-10_final
2023-12-12 10:00:55	ga_ls8c_ard_3-2-1_097077_2023-12-12_final
2023-12-12 10:02:31	ga_ls8c_ard_3-2-1_097081_2023-12-12_final
2023-12-12 11:40:36	ga_ls8c_ard_3-2-1_113079_2023-12-12_final
2023-12-13 10:41:48	ga_ls8c_ard_3-2-1_104071_2023-12-13_final
2023-12-13 10:44:59	ga_ls8c_ard_3-2-1_104079_2023-12-13_final
2023-12-16 09:37:26	ga_ls8c_ard_3-2-1_093080_2023-12-16_final
2023-12-17 10:18:42	ga_ls8c_ard_3-2-1_100075_2023-12-17_final
2023-12-17 10:20:42	ga_ls8c_ard_3-2-1_100080_2023-12-17_final
2023-12-20 10:51:37	ga_ls8c_ard_3-2-1_105080_2023-12-20_final
2023-12-21 09:56:24	ga_ls8c_ard_3-2-1_096081_2023-12-21_final
2023-12-21 11:35:17	ga_ls8c_ard_3-2-1_112081_2023-12-21_final
2023-12-28 10:02:56	ga_ls8c_ard_3-2-1_097082_2023-12-28_final
2023-12-29 10:44:59	ga_ls8c_ard_3-2-1_104079_2023-12-29_final
2023-12-30 09:50:57	ga_ls8c_ard_3-2-1_095083_2023-12-30_final
2024-01-01 09:37:22	ga_ls8c_ard_3-2-1_093080_2024-01-01_final
2024-01-01 11:15:51	ga_ls8c_ard_3-2-1_109079_2024-01-01_final
2024-01-06 11:34:20	ga_ls8c_ard_3-2-1_112079_2024-01-06_final
2024-01-13 10:02:29	ga_ls8c_ard_3-2-1_097081_2024-01-13_final
2024-01-15 09:50:07	ga_ls8c_ard_3-2-1_095081_2024-01-15_final
2024-01-15 11:27:49	ga_ls8c_ard_3-2-1_111078_2024-01-15_final
2024-01-18 10:21:25	ga_ls8c_ard_3-2-1_100082_2024-01-18_final
2024-01-20 10:09:02	ga_ls8c_ard_3-2-1_098082_2024-01-20_final
2024-01-22 09:53:51	ga_ls8c_ard_3-2-1_096075_2024-01-22_final
2024-01-22 09:55:27	ga_ls8c_ard_3-2-1_096079_2024-01-22_final
2024-01-23 10:39:54	ga_ls8c_ard_3-2-1_103082_2024-01-23_final
2024-01-24 09:43:03	ga_ls8c_ard_3-2-1_094079_2024-01-24_final
2024-01-24 11:21:56	ga_ls8c_ard_3-2-1_110079_2024-01-24_final
2024-01-25 10:27:06	ga_ls8c_ard_3-2-1_101081_2024-01-25_final
2024-01-26 09:31:51	ga_ls8c_ard_3-2-1_092082_2024-01-26_final
2024-01-26 09:32:15	ga_ls8c_ard_3-2-1_092083_2024-01-26_final
2024-01-31 11:27:44	ga_ls8c_ard_3-2-1_111078_2024-01-31_final
2024-01-31 11:28:32	ga_ls8c_ard_3-2-1_111080_2024-01-31_final
2024-02-02 09:37:18	ga_ls8c_ard_3-2-1_093080_2024-02-02_final
2024-02-02 09:37:42	ga_ls8c_ard_3-2-1_093081_2024-02-02_final
2024-02-04 11:03:51	ga_ls8c_ard_3-2-1_107080_2024-02-04_final
2024-02-05 10:08:38	ga_ls8c_ard_3-2-1_098081_2024-02-05_final
2024-02-09 09:42:19	ga_ls8c_ard_3-2-1_094077_2024-02-09_final
2024-02-10 10:24:23	ga_ls8c_ard_3-2-1_101074_2024-02-10_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
2024-02-13 10:56:28	ga_ls8c_ard_3-2-1_106077_2024-02-13_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 10:42:05	ga_ls8c_ard_3-2-1_104072_2024-02-15_final
2024-02-16 09:50:27	ga_ls8c_ard_3-2-1_095082_2024-02-16_final
2024-02-16 09:51:15	ga_ls8c_ard_3-2-1_095084_2024-02-16_final
2024-02-18 11:16:11	ga_ls8c_ard_3-2-1_109080_2024-02-18_final
2024-02-19 10:21:22	ga_ls8c_ard_3-2-1_100082_2024-02-19_final
2024-02-20 11:01:50	ga_ls8c_ard_3-2-1_107075_2024-02-20_final
2024-02-20 11:05:01	ga_ls8c_ard_3-2-1_107083_2024-02-20_final
2024-02-21 10:08:36	ga_ls8c_ard_3-2-1_098081_2024-02-21_final
2024-02-23 09:54:38	ga_ls8c_ard_3-2-1_096077_2024-02-23_final
2024-02-23 09:55:02	ga_ls8c_ard_3-2-1_096078_2024-02-23_final
2024-02-23 09:56:13	ga_ls8c_ard_3-2-1_096081_2024-02-23_final
2024-02-25 09:43:27	ga_ls8c_ard_3-2-1_094080_2024-02-25_final
2024-02-25 09:43:51	ga_ls8c_ard_3-2-1_094081_2024-02-25_final
2024-02-27 09:32:40	ga_ls8c_ard_3-2-1_092084_2024-02-27_final
2024-02-28 10:15:31	ga_ls8c_ard_3-2-1_099083_2024-02-28_final
2024-03-01 11:40:25	ga_ls8c_ard_3-2-1_113079_2024-03-01_final
2024-03-03 09:47:08	ga_ls8c_ard_3-2-1_095074_2024-03-03_final
2024-03-03 09:47:56	ga_ls8c_ard_3-2-1_095076_2024-03-03_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
2024-03-08 10:08:24	ga_ls8c_ard_3-2-1_098081_2024-03-08_final
2024-03-09 10:51:15	ga_ls8c_ard_3-2-1_105080_2024-03-09_final
2024-04-07 10:17:18	ga_ls8c_ard_3-2-1_100073_2024-04-07_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