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
2022-01-14 10:10:21	ga_ls8c_ard_3-2-1_098085_2022-01-14_final
2023-02-03 09:11:18	ga_ls8c_ard_3-2-1_089076_2023-02-02_final
2023-02-11 11:38:22	ga_ls8c_ard_3-2-1_113073_2023-02-11_final
2023-02-12 10:41:08	ga_ls8c_ard_3-2-1_104069_2023-02-12_final
2023-02-12 10:41:32	ga_ls8c_ard_3-2-1_104070_2023-02-12_final
2023-02-12 10:45:55	ga_ls8c_ard_3-2-1_104081_2023-02-12_final
2023-02-13 09:52:41	ga_ls8c_ard_3-2-1_095087_2023-02-13_final
2023-02-16 10:17:57	ga_ls8c_ard_3-2-1_100073_2023-02-16_final
2023-02-18 10:05:57	ga_ls8c_ard_3-2-1_098074_2023-02-18_final
2023-02-18 10:06:21	ga_ls8c_ard_3-2-1_098075_2023-02-18_final
2023-02-18 10:06:45	ga_ls8c_ard_3-2-1_098076_2023-02-18_final
2023-02-19 09:10:19	ga_ls8c_ard_3-2-1_089074_2023-02-18_final
2023-02-19 09:11:07	ga_ls8c_ard_3-2-1_089076_2023-02-18_final
2023-02-19 10:48:48	ga_ls8c_ard_3-2-1_105073_2023-02-19_final
2023-02-22 11:18:02	ga_ls8c_ard_3-2-1_110069_2023-02-22_final
2023-02-24 11:06:25	ga_ls8c_ard_3-2-1_108071_2023-02-24_final
2023-02-24 11:06:49	ga_ls8c_ard_3-2-1_108072_2023-02-24_final
2023-02-25 10:16:22	ga_ls8c_ard_3-2-1_099085_2023-02-25_final
2023-02-28 09:07:35	ga_ls8c_ard_3-2-1_088083_2023-02-27_final
2023-02-28 10:42:29	ga_ls8c_ard_3-2-1_104073_2023-02-28_final
2023-02-28 10:42:53	ga_ls8c_ard_3-2-1_104074_2023-02-28_final
2023-03-01 09:46:04	ga_ls8c_ard_3-2-1_095071_2023-03-01_final
2023-03-03 09:35:41	ga_ls8c_ard_3-2-1_093076_2023-03-03_final
2023-03-03 09:36:05	ga_ls8c_ard_3-2-1_093077_2023-03-03_final
2023-03-04 10:17:44	ga_ls8c_ard_3-2-1_100073_2023-03-04_final
2023-03-06 10:04:34	ga_ls8c_ard_3-2-1_098071_2023-03-06_final
2023-03-07 09:10:55	ga_ls8c_ard_3-2-1_089076_2023-03-06_final
2023-03-07 09:16:30	ga_ls8c_ard_3-2-1_089090_2023-03-06_final
2023-03-07 10:52:36	ga_ls8c_ard_3-2-1_105083_2023-03-07_final
2023-03-08 09:54:34	ga_ls8c_ard_3-2-1_096077_2023-03-08_final
2023-03-10 09:42:12	ga_ls8c_ard_3-2-1_094077_2023-03-10_final
2023-03-10 09:42:36	ga_ls8c_ard_3-2-1_094078_2023-03-10_final
2023-03-10 11:17:53	ga_ls8c_ard_3-2-1_110069_2023-03-10_final
2023-03-12 09:27:26	ga_ls8c_ard_3-2-1_092071_2023-03-11_final
2023-03-12 09:28:14	ga_ls8c_ard_3-2-1_092073_2023-03-11_final
2023-03-12 09:35:01	ga_ls8c_ard_3-2-1_092090_2023-03-12_final
2023-03-14 09:16:16	ga_ls8c_ard_3-2-1_090074_2023-03-13_final
2023-03-17 11:30:01	ga_ls8c_ard_3-2-1_111084_2023-03-17_final
2023-03-19 09:40:21	ga_ls8c_ard_3-2-1_093088_2023-03-19_final
2023-03-23 09:09:58	ga_ls8c_ard_3-2-1_089074_2023-03-22_final
2023-03-23 09:10:46	ga_ls8c_ard_3-2-1_089076_2023-03-22_final
2023-03-24 11:34:30	ga_ls8c_ard_3-2-1_112080_2023-03-24_final
2023-03-25 10:39:40	ga_ls8c_ard_3-2-1_103082_2023-03-25_final
2023-03-26 11:17:44	ga_ls8c_ard_3-2-1_110069_2023-03-26_final
2023-03-26 11:24:07	ga_ls8c_ard_3-2-1_110085_2023-03-26_final
2023-03-27 10:22:31	ga_ls8c_ard_3-2-1_101070_2023-03-27_final
2023-03-27 10:26:54	ga_ls8c_ard_3-2-1_101081_2023-03-27_final
2023-03-28 09:27:17	ga_ls8c_ard_3-2-1_092071_2023-03-27_final
2023-03-28 09:28:05	ga_ls8c_ard_3-2-1_092073_2023-03-27_final
2023-03-28 09:34:04	ga_ls8c_ard_3-2-1_092088_2023-03-28_final
2023-03-28 09:34:52	ga_ls8c_ard_3-2-1_092090_2023-03-28_final
2023-03-30 09:16:06	ga_ls8c_ard_3-2-1_090074_2023-03-29_final
2023-03-30 09:17:42	ga_ls8c_ard_3-2-1_090078_2023-03-29_final
2023-03-30 10:56:59	ga_ls8c_ard_3-2-1_106079_2023-03-30_final
2023-03-31 10:01:21	ga_ls8c_ard_3-2-1_097079_2023-03-31_final
2023-03-31 10:02:33	ga_ls8c_ard_3-2-1_097082_2023-03-31_final
2023-03-31 11:37:50	ga_ls8c_ard_3-2-1_113073_2023-03-31_final
2023-04-01 09:06:07	ga_ls8c_ard_3-2-1_088080_2023-03-31_final
2023-04-01 10:43:48	ga_ls8c_ard_3-2-1_104077_2023-04-01_final
2023-04-04 09:40:09	ga_ls8c_ard_3-2-1_093088_2023-04-04_final
2023-04-08 09:09:45	ga_ls8c_ard_3-2-1_089074_2023-04-07_final
2023-04-08 09:10:33	ga_ls8c_ard_3-2-1_089076_2023-04-07_final
2023-04-08 10:51:26	ga_ls8c_ard_3-2-1_105081_2023-04-08_final
2023-04-08 10:51:50	ga_ls8c_ard_3-2-1_105082_2023-04-08_final
2023-04-08 10:52:14	ga_ls8c_ard_3-2-1_105083_2023-04-08_final
2023-04-09 09:56:35	ga_ls8c_ard_3-2-1_096083_2023-04-09_final
2023-04-11 11:23:51	ga_ls8c_ard_3-2-1_110085_2023-04-11_final
2023-04-12 10:22:15	ga_ls8c_ard_3-2-1_101070_2023-04-12_final
2023-04-13 09:27:01	ga_ls8c_ard_3-2-1_092071_2023-04-12_final
2023-04-13 09:27:49	ga_ls8c_ard_3-2-1_092073_2023-04-12_final
2023-04-13 11:07:30	ga_ls8c_ard_3-2-1_108075_2023-04-13_final
2023-04-13 11:07:54	ga_ls8c_ard_3-2-1_108076_2023-04-13_final
2023-04-15 09:15:51	ga_ls8c_ard_3-2-1_090074_2023-04-14_final
2023-04-16 09:59:30	ga_ls8c_ard_3-2-1_097075_2023-04-16_final
2023-04-16 11:37:35	ga_ls8c_ard_3-2-1_113073_2023-04-16_final
2023-04-17 09:05:52	ga_ls8c_ard_3-2-1_088080_2023-04-16_final
2023-04-19 10:32:22	ga_ls8c_ard_3-2-1_102080_2023-04-19_final
2023-04-24 09:10:26	ga_ls8c_ard_3-2-1_089076_2023-04-23_final
2023-04-24 10:45:44	ga_ls8c_ard_3-2-1_105067_2023-04-24_final
2023-04-27 09:44:55	ga_ls8c_ard_3-2-1_094085_2023-04-27_final
2023-04-29 09:26:57	ga_ls8c_ard_3-2-1_092071_2023-04-28_final
2023-04-29 09:27:45	ga_ls8c_ard_3-2-1_092073_2023-04-28_final
2023-04-29 09:30:33	ga_ls8c_ard_3-2-1_092080_2023-04-29_final
2023-04-29 09:31:21	ga_ls8c_ard_3-2-1_092082_2023-04-29_final
2023-05-01 09:15:47	ga_ls8c_ard_3-2-1_090074_2023-04-30_final
2023-05-01 09:20:58	ga_ls8c_ard_3-2-1_090087_2023-04-30_final
2023-05-02 11:37:07	ga_ls8c_ard_3-2-1_113072_2023-05-02_final
2023-05-02 11:37:31	ga_ls8c_ard_3-2-1_113073_2023-05-02_final
2023-05-04 09:51:50	ga_ls8c_ard_3-2-1_095087_2023-05-04_final
2023-05-06 09:33:27	ga_ls8c_ard_3-2-1_093072_2023-05-06_final
2023-05-06 11:13:08	ga_ls8c_ard_3-2-1_109074_2023-05-06_final
2023-05-10 09:10:15	ga_ls8c_ard_3-2-1_089076_2023-05-09_final
2023-05-15 09:26:44	ga_ls8c_ard_3-2-1_092071_2023-05-14_final
2023-05-15 09:27:32	ga_ls8c_ard_3-2-1_092073_2023-05-14_final
2023-05-15 09:29:32	ga_ls8c_ard_3-2-1_092078_2023-05-14_final
2023-05-15 11:09:37	ga_ls8c_ard_3-2-1_108081_2023-05-15_final
2023-05-16 10:15:35	ga_ls8c_ard_3-2-1_099085_2023-05-16_final
2023-05-17 09:15:33	ga_ls8c_ard_3-2-1_090074_2023-05-16_final
2023-05-18 09:56:49	ga_ls8c_ard_3-2-1_097069_2023-05-18_final
2023-05-18 11:37:18	ga_ls8c_ard_3-2-1_113073_2023-05-18_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