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
2016-12-23 12:31:31	ga_ls8c_ard_3-2-1_122067_2016-12-23_final
2019-10-19 08:42:48	ga_ls8c_ard_3-2-1_084082_2019-10-18_final
2019-12-19 08:11:00	ga_ls8c_ard_3-2-1_079080_2019-12-18_final
2021-03-24 12:31:05	ga_ls8c_ard_3-2-1_122067_2021-03-24_final
2021-05-01 08:41:57	ga_ls8c_ard_3-2-1_084082_2021-04-30_final
2021-09-06 08:42:40	ga_ls8c_ard_3-2-1_084082_2021-09-05_final
2022-05-14 12:31:12	ga_ls8c_ard_3-2-1_122067_2022-05-14_final
2022-08-21 08:11:15	ga_ls8c_ard_3-2-1_079080_2022-08-20_final
2022-10-06 11:43:02	ga_ls8c_ard_3-2-1_113084_2022-10-06_final
2023-02-17 12:37:41	ga_ls8c_ard_3-2-1_123067_2023-02-17_final
2023-03-20 08:42:19	ga_ls8c_ard_3-2-1_084082_2023-03-19_final
2023-06-21 08:10:11	ga_ls8c_ard_3-2-1_079080_2023-06-20_final
2023-06-24 11:56:53	ga_ls8c_ard_3-2-1_116075_2023-06-24_final
2023-12-17 08:42:37	ga_ls8c_ard_3-2-1_084082_2023-12-16_final
2024-01-06 11:34:44	ga_ls8c_ard_3-2-1_112080_2024-01-06_final
2024-01-08 09:41:55	ga_ls8c_ard_3-2-1_094076_2024-01-08_final
2024-01-11 11:52:07	ga_ls8c_ard_3-2-1_115077_2024-01-11_final
2024-01-12 09:19:13	ga_ls8c_ard_3-2-1_090081_2024-01-11_final
2024-01-25 10:24:42	ga_ls8c_ard_3-2-1_101075_2024-01-25_final
2024-01-27 10:14:43	ga_ls8c_ard_3-2-1_099081_2024-01-27_final
2024-01-27 11:52:00	ga_ls8c_ard_3-2-1_115077_2024-01-27_final
2024-01-28 09:21:30	ga_ls8c_ard_3-2-1_090087_2024-01-27_final
2024-01-29 10:00:47	ga_ls8c_ard_3-2-1_097077_2024-01-29_final
2024-01-31 09:47:15	ga_ls8c_ard_3-2-1_095074_2024-01-31_final
2024-02-01 10:31:19	ga_ls8c_ard_3-2-1_102076_2024-02-01_final
2024-02-02 09:35:43	ga_ls8c_ard_3-2-1_093076_2024-02-02_final
2024-02-02 09:36:31	ga_ls8c_ard_3-2-1_093078_2024-02-02_final
2024-02-05 11:45:31	ga_ls8c_ard_3-2-1_114076_2024-02-05_final
2024-02-05 11:47:07	ga_ls8c_ard_3-2-1_114080_2024-02-05_final
2024-02-06 10:51:06	ga_ls8c_ard_3-2-1_105079_2024-02-06_final
2024-02-06 10:52:42	ga_ls8c_ard_3-2-1_105083_2024-02-06_final
2024-02-07 09:55:29	ga_ls8c_ard_3-2-1_096079_2024-02-07_final
2024-02-07 11:34:46	ga_ls8c_ard_3-2-1_112080_2024-02-07_final
2024-02-08 10:39:56	ga_ls8c_ard_3-2-1_103082_2024-02-08_final
2024-02-09 09:43:07	ga_ls8c_ard_3-2-1_094079_2024-02-09_final
2024-02-09 11:22:24	ga_ls8c_ard_3-2-1_110080_2024-02-09_final
2024-02-11 09:29:57	ga_ls8c_ard_3-2-1_092077_2024-02-10_final
2024-02-11 09:34:45	ga_ls8c_ard_3-2-1_092089_2024-02-11_final
2024-02-11 11:06:27	ga_ls8c_ard_3-2-1_108071_2024-02-11_final
2024-02-11 11:06:51	ga_ls8c_ard_3-2-1_108072_2024-02-11_final
2024-02-13 10:58:52	ga_ls8c_ard_3-2-1_106083_2024-02-13_final
2024-02-14 10:02:02	ga_ls8c_ard_3-2-1_097080_2024-02-14_final
2024-02-14 10:03:14	ga_ls8c_ard_3-2-1_097083_2024-02-14_final
2024-02-15 10:44:05	ga_ls8c_ard_3-2-1_104077_2024-02-15_final
2024-02-15 10:44:29	ga_ls8c_ard_3-2-1_104078_2024-02-15_final
2024-02-15 10:44:53	ga_ls8c_ard_3-2-1_104079_2024-02-15_final
2024-02-15 10:45:17	ga_ls8c_ard_3-2-1_104080_2024-02-15_final
2024-02-15 10:45:41	ga_ls8c_ard_3-2-1_104081_2024-02-15_final
2024-02-16 11:26:57	ga_ls8c_ard_3-2-1_111076_2024-02-16_final
2024-02-18 09:36:30	ga_ls8c_ard_3-2-1_093078_2024-02-18_final
2024-02-18 09:37:18	ga_ls8c_ard_3-2-1_093080_2024-02-18_final
2024-02-19 10:20:34	ga_ls8c_ard_3-2-1_100080_2024-02-19_final
2024-02-20 11:05:01	ga_ls8c_ard_3-2-1_107083_2024-02-20_final
2024-02-21 11:46:17	ga_ls8c_ard_3-2-1_114078_2024-02-21_final
2024-02-22 10:50:39	ga_ls8c_ard_3-2-1_105078_2024-02-22_final
2024-02-23 09:56:13	ga_ls8c_ard_3-2-1_096081_2024-02-23_final
2024-02-24 10:38:17	ga_ls8c_ard_3-2-1_103078_2024-02-24_final
2024-02-25 09:43:03	ga_ls8c_ard_3-2-1_094079_2024-02-25_final
2024-02-25 09:43:27	ga_ls8c_ard_3-2-1_094080_2024-02-25_final
2024-02-27 09:29:52	ga_ls8c_ard_3-2-1_092077_2024-02-26_final
2024-02-27 09:30:40	ga_ls8c_ard_3-2-1_092079_2024-02-27_final
2024-02-29 09:18:41	ga_ls8c_ard_3-2-1_090080_2024-02-28_final
2024-03-01 09:58:20	ga_ls8c_ard_3-2-1_097071_2024-03-01_final
2024-03-01 09:59:56	ga_ls8c_ard_3-2-1_097075_2024-03-01_final
2024-03-01 10:01:56	ga_ls8c_ard_3-2-1_097080_2024-03-01_final
2024-03-01 11:38:49	ga_ls8c_ard_3-2-1_113075_2024-03-01_final
2024-03-02 10:45:10	ga_ls8c_ard_3-2-1_104080_2024-03-02_final
2024-03-03 11:26:49	ga_ls8c_ard_3-2-1_111076_2024-03-03_final
2024-03-03 11:28:25	ga_ls8c_ard_3-2-1_111080_2024-03-03_final
2024-03-04 10:31:59	ga_ls8c_ard_3-2-1_102078_2024-03-04_final
2024-03-06 10:20:46	ga_ls8c_ard_3-2-1_100081_2024-03-06_final
2024-03-09 10:50:51	ga_ls8c_ard_3-2-1_105079_2024-03-09_final
2024-03-10 09:53:38	ga_ls8c_ard_3-2-1_096075_2024-03-10_final
2024-03-10 09:54:50	ga_ls8c_ard_3-2-1_096078_2024-03-10_final
2024-03-10 11:33:43	ga_ls8c_ard_3-2-1_112078_2024-03-10_final
2024-03-10 11:34:31	ga_ls8c_ard_3-2-1_112080_2024-03-10_final
2024-03-12 09:41:40	ga_ls8c_ard_3-2-1_094076_2024-03-12_final
2024-03-12 11:21:45	ga_ls8c_ard_3-2-1_110079_2024-03-12_final
2024-03-13 10:25:19	ga_ls8c_ard_3-2-1_101077_2024-03-13_final
2024-03-14 09:30:29	ga_ls8c_ard_3-2-1_092079_2024-03-14_final
2024-03-15 10:11:45	ga_ls8c_ard_3-2-1_099074_2024-03-15_final
2024-03-15 10:12:33	ga_ls8c_ard_3-2-1_099076_2024-03-15_final
2024-03-16 10:56:12	ga_ls8c_ard_3-2-1_106077_2024-03-16_final
2024-03-16 10:56:36	ga_ls8c_ard_3-2-1_106078_2024-03-16_final
2024-03-18 10:43:01	ga_ls8c_ard_3-2-1_104075_2024-03-18_final
2024-03-18 10:44:13	ga_ls8c_ard_3-2-1_104078_2024-03-18_final
2024-03-18 10:44:37	ga_ls8c_ard_3-2-1_104079_2024-03-18_final
2024-03-19 09:49:23	ga_ls8c_ard_3-2-1_095080_2024-03-19_final
2024-03-23 11:03:04	ga_ls8c_ard_3-2-1_107079_2024-03-23_final
2024-03-28 11:22:41	ga_ls8c_ard_3-2-1_110082_2024-03-28_final
2024-03-31 10:14:19	ga_ls8c_ard_3-2-1_099081_2024-03-31_final
2024-04-01 10:56:23	ga_ls8c_ard_3-2-1_106078_2024-04-01_final
2024-04-02 09:59:34	ga_ls8c_ard_3-2-1_097075_2024-04-02_final
2024-04-04 09:49:12	ga_ls8c_ard_3-2-1_095080_2024-04-04_final
2024-04-04 11:26:30	ga_ls8c_ard_3-2-1_111076_2024-04-04_final
2024-04-06 09:36:03	ga_ls8c_ard_3-2-1_093078_2024-04-06_final
2024-04-06 11:12:32	ga_ls8c_ard_3-2-1_109072_2024-04-06_final
2024-04-06 11:14:56	ga_ls8c_ard_3-2-1_109078_2024-04-06_final
2024-04-08 09:23:41	ga_ls8c_ard_3-2-1_091078_2024-04-07_final
2024-04-08 11:00:10	ga_ls8c_ard_3-2-1_107072_2024-04-08_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