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
2016-12-30 12:37:41	ga_ls8c_ard_3-2-1_123067_2016-12-30_final
2021-06-02 08:42:10	ga_ls8c_ard_3-2-1_084082_2021-06-01_final
2021-11-06 08:11:07	ga_ls8c_ard_3-2-1_079080_2021-11-05_final
2021-12-11 08:42:46	ga_ls8c_ard_3-2-1_084082_2021-12-10_final
2022-06-21 11:57:36	ga_ls8c_ard_3-2-1_116075_2022-06-21_final
2023-02-16 08:42:40	ga_ls8c_ard_3-2-1_084082_2023-02-15_final
2023-10-14 11:57:33	ga_ls8c_ard_3-2-1_116075_2023-10-14_final
2023-11-19 09:54:00	ga_ls8c_ard_3-2-1_096075_2023-11-19_final
2023-11-23 11:10:11	ga_ls8c_ard_3-2-1_108080_2023-11-23_final
2023-11-24 10:14:58	ga_ls8c_ard_3-2-1_099081_2023-11-24_final
2023-11-26 10:01:00	ga_ls8c_ard_3-2-1_097077_2023-11-26_final
2023-11-26 11:40:41	ga_ls8c_ard_3-2-1_113079_2023-11-26_final
2023-11-30 09:36:15	ga_ls8c_ard_3-2-1_093077_2023-11-30_final
2023-11-30 09:37:51	ga_ls8c_ard_3-2-1_093081_2023-11-30_final
2023-12-02 11:04:44	ga_ls8c_ard_3-2-1_107082_2023-12-02_final
2023-12-05 09:54:42	ga_ls8c_ard_3-2-1_096077_2023-12-05_final
2023-12-05 11:33:11	ga_ls8c_ard_3-2-1_112076_2023-12-05_final
2023-12-07 09:41:54	ga_ls8c_ard_3-2-1_094076_2023-12-07_final
2023-12-07 09:43:06	ga_ls8c_ard_3-2-1_094079_2023-12-07_final
2023-12-07 09:46:18	ga_ls8c_ard_3-2-1_094087_2023-12-07_final
2023-12-09 09:30:22	ga_ls8c_ard_3-2-1_092078_2023-12-09_final
2023-12-09 09:30:46	ga_ls8c_ard_3-2-1_092079_2023-12-09_final
2023-12-11 10:57:43	ga_ls8c_ard_3-2-1_106080_2023-12-11_final
2023-12-12 10:00:31	ga_ls8c_ard_3-2-1_097076_2023-12-12_final
2023-12-13 10:44:59	ga_ls8c_ard_3-2-1_104079_2023-12-13_final
2023-12-14 09:50:10	ga_ls8c_ard_3-2-1_095081_2023-12-14_final
2023-12-15 10:31:03	ga_ls8c_ard_3-2-1_102075_2023-12-15_final
2023-12-16 09:36:14	ga_ls8c_ard_3-2-1_093077_2023-12-16_final
2023-12-17 10:20:42	ga_ls8c_ard_3-2-1_100080_2023-12-17_final
2023-12-21 09:53:12	ga_ls8c_ard_3-2-1_096073_2023-12-21_final
2023-12-22 10:38:27	ga_ls8c_ard_3-2-1_103078_2023-12-22_final
2023-12-26 10:12:07	ga_ls8c_ard_3-2-1_099074_2023-12-26_final
2023-12-26 11:51:00	ga_ls8c_ard_3-2-1_115074_2023-12-26_final
2023-12-31 10:32:36	ga_ls8c_ard_3-2-1_102079_2023-12-31_final
2023-12-31 10:33:00	ga_ls8c_ard_3-2-1_102080_2023-12-31_final
2024-01-01 11:15:03	ga_ls8c_ard_3-2-1_109077_2024-01-01_final
2024-01-01 11:16:15	ga_ls8c_ard_3-2-1_109080_2024-01-01_final
2024-01-06 09:56:15	ga_ls8c_ard_3-2-1_096081_2024-01-06_final
2024-01-06 11:33:08	ga_ls8c_ard_3-2-1_112076_2024-01-06_final
2024-01-15 09:49:43	ga_ls8c_ard_3-2-1_095080_2024-01-15_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
2024-01-17 09:36:57	ga_ls8c_ard_3-2-1_093079_2024-01-17_final
2024-01-17 09:37:21	ga_ls8c_ard_3-2-1_093080_2024-01-17_final
2024-01-17 11:15:50	ga_ls8c_ard_3-2-1_109079_2024-01-17_final
2024-01-18 10:20:13	ga_ls8c_ard_3-2-1_100079_2024-01-18_final
2024-01-18 10:21:01	ga_ls8c_ard_3-2-1_100081_2024-01-18_final
2024-01-19 11:01:04	ga_ls8c_ard_3-2-1_107073_2024-01-19_final
2024-01-19 11:03:52	ga_ls8c_ard_3-2-1_107080_2024-01-19_final
2024-01-21 10:51:29	ga_ls8c_ard_3-2-1_105080_2024-01-21_final
2024-01-22 09:56:15	ga_ls8c_ard_3-2-1_096081_2024-01-22_final
2024-01-22 11:33:08	ga_ls8c_ard_3-2-1_112076_2024-01-22_final
2024-01-23 10:38:42	ga_ls8c_ard_3-2-1_103079_2024-01-23_final
2024-01-24 11:21:32	ga_ls8c_ard_3-2-1_110078_2024-01-24_final
2024-01-24 11:21:56	ga_ls8c_ard_3-2-1_110079_2024-01-24_final
2024-01-25 10:24:42	ga_ls8c_ard_3-2-1_101075_2024-01-25_final
2024-01-25 10:26:42	ga_ls8c_ard_3-2-1_101080_2024-01-25_final
2024-01-26 09:30:40	ga_ls8c_ard_3-2-1_092079_2024-01-26_final
2024-01-27 10:12:19	ga_ls8c_ard_3-2-1_099075_2024-01-27_final
2024-01-29 10:02:23	ga_ls8c_ard_3-2-1_097081_2024-01-29_final
2024-01-31 09:48:27	ga_ls8c_ard_3-2-1_095077_2024-01-31_final
2024-01-31 09:50:03	ga_ls8c_ard_3-2-1_095081_2024-01-31_final
2024-01-31 09:51:15	ga_ls8c_ard_3-2-1_095084_2024-01-31_final
2024-02-01 10:32:55	ga_ls8c_ard_3-2-1_102080_2024-02-01_final
2024-02-02 11:16:11	ga_ls8c_ard_3-2-1_109080_2024-02-02_final
2024-02-03 11:58:16	ga_ls8c_ard_3-2-1_116077_2024-02-03_final
2024-02-04 11:03:51	ga_ls8c_ard_3-2-1_107080_2024-02-04_final
2024-02-07 09:54:41	ga_ls8c_ard_3-2-1_096077_2024-02-07_final
2024-02-08 10:38:21	ga_ls8c_ard_3-2-1_103078_2024-02-08_final
2024-02-09 09:42:19	ga_ls8c_ard_3-2-1_094077_2024-02-09_final
2024-02-11 09:31:33	ga_ls8c_ard_3-2-1_092081_2024-02-11_final
2024-02-13 10:58:04	ga_ls8c_ard_3-2-1_106081_2024-02-13_final
2024-02-14 10:02:50	ga_ls8c_ard_3-2-1_097082_2024-02-14_final
2024-02-16 09:48:04	ga_ls8c_ard_3-2-1_095076_2024-02-16_final
2024-02-16 09:51:39	ga_ls8c_ard_3-2-1_095085_2024-02-16_final
2024-02-18 11:16:11	ga_ls8c_ard_3-2-1_109080_2024-02-18_final
2024-02-18 11:16:35	ga_ls8c_ard_3-2-1_109081_2024-02-18_final
2024-02-20 11:02:37	ga_ls8c_ard_3-2-1_107077_2024-02-20_final
2024-02-20 11:03:49	ga_ls8c_ard_3-2-1_107080_2024-02-20_final
2024-02-22 10:51:03	ga_ls8c_ard_3-2-1_105079_2024-02-22_final
2024-02-23 09:55:02	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 09:45:51	ga_ls8c_ard_3-2-1_094086_2024-02-25_final
2024-02-26 10:27:06	ga_ls8c_ard_3-2-1_101081_2024-02-26_final
2024-02-27 09:31:28	ga_ls8c_ard_3-2-1_092081_2024-02-27_final
2024-03-01 10:02:44	ga_ls8c_ard_3-2-1_097082_2024-03-01_final
2024-03-02 10:45:10	ga_ls8c_ard_3-2-1_104080_2024-03-02_final
2024-03-03 09:48:44	ga_ls8c_ard_3-2-1_095078_2024-03-03_final
2024-03-03 09:51:32	ga_ls8c_ard_3-2-1_095085_2024-03-03_final
2024-03-03 11:26:49	ga_ls8c_ard_3-2-1_111076_2024-03-03_final
2024-03-04 10:32:23	ga_ls8c_ard_3-2-1_102079_2024-03-04_final
2024-03-04 10:32:47	ga_ls8c_ard_3-2-1_102080_2024-03-04_final
2024-03-05 09:37:56	ga_ls8c_ard_3-2-1_093082_2024-03-05_final
2024-03-06 10:19:59	ga_ls8c_ard_3-2-1_100079_2024-03-06_final
2024-03-09 10:50:04	ga_ls8c_ard_3-2-1_105077_2024-03-09_final
2024-03-09 10:50:51	ga_ls8c_ard_3-2-1_105079_2024-03-09_final
2024-03-11 10:38:06	ga_ls8c_ard_3-2-1_103078_2024-03-11_final
2024-03-30 11:07:57	ga_ls8c_ard_3-2-1_108076_2024-03-30_final
2024-04-02 10:00:22	ga_ls8c_ard_3-2-1_097077_2024-04-02_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years