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
2021-11-05 10:40:27	ga_ls8c_ard_3-2-0_104067_2021-11-05_final
2021-11-05 10:40:50	ga_ls8c_ard_3-2-0_104068_2021-11-05_final
2021-11-05 10:41:14	ga_ls8c_ard_3-2-0_104069_2021-11-05_final
2021-11-05 10:41:38	ga_ls8c_ard_3-2-0_104070_2021-11-05_final
2021-11-05 10:42:02	ga_ls8c_ard_3-2-0_104071_2021-11-05_final
2021-11-05 10:42:26	ga_ls8c_ard_3-2-0_104072_2021-11-05_final
2021-11-05 10:42:50	ga_ls8c_ard_3-2-0_104073_2021-11-05_final
2021-11-05 10:43:14	ga_ls8c_ard_3-2-0_104074_2021-11-05_final
2021-11-05 10:43:38	ga_ls8c_ard_3-2-0_104075_2021-11-05_final
2021-11-05 10:44:02	ga_ls8c_ard_3-2-0_104076_2021-11-05_final
2021-11-05 10:44:26	ga_ls8c_ard_3-2-0_104077_2021-11-05_final
2021-11-05 10:44:50	ga_ls8c_ard_3-2-0_104078_2021-11-05_final
2021-11-05 10:45:38	ga_ls8c_ard_3-2-0_104080_2021-11-05_final
2021-11-05 10:46:02	ga_ls8c_ard_3-2-0_104081_2021-11-05_final
2021-11-05 10:46:50	ga_ls8c_ard_3-2-0_104083_2021-11-05_final
2021-11-06 09:44:49	ga_ls8c_ard_3-2-0_095067_2021-11-06_final
2021-11-06 09:46:01	ga_ls8c_ard_3-2-0_095070_2021-11-06_final
2021-11-06 09:46:49	ga_ls8c_ard_3-2-0_095072_2021-11-06_final
2021-11-06 09:47:13	ga_ls8c_ard_3-2-0_095073_2021-11-06_final
2021-11-06 09:47:37	ga_ls8c_ard_3-2-0_095074_2021-11-06_final
2021-11-06 09:48:24	ga_ls8c_ard_3-2-0_095076_2021-11-06_final
2021-11-06 09:48:48	ga_ls8c_ard_3-2-0_095077_2021-11-06_final
2021-11-06 09:49:12	ga_ls8c_ard_3-2-0_095078_2021-11-06_final
2021-11-06 09:49:36	ga_ls8c_ard_3-2-0_095079_2021-11-06_final
2021-11-06 09:50:00	ga_ls8c_ard_3-2-0_095080_2021-11-06_final
2021-11-06 09:50:24	ga_ls8c_ard_3-2-0_095081_2021-11-06_final
2021-11-06 09:50:48	ga_ls8c_ard_3-2-0_095082_2021-11-06_final
2021-11-06 09:51:12	ga_ls8c_ard_3-2-0_095083_2021-11-06_final
2021-11-06 09:51:36	ga_ls8c_ard_3-2-0_095084_2021-11-06_final
2021-11-06 09:52:00	ga_ls8c_ard_3-2-0_095085_2021-11-06_final
2021-11-06 09:52:48	ga_ls8c_ard_3-2-0_095087_2021-11-06_final
2021-11-06 09:53:12	ga_ls8c_ard_3-2-0_095088_2021-11-06_final
2021-11-06 11:25:42	ga_ls8c_ard_3-2-0_111072_2021-11-06_final
2021-11-06 11:26:06	ga_ls8c_ard_3-2-0_111073_2021-11-06_final
2021-11-06 11:26:30	ga_ls8c_ard_3-2-0_111074_2021-11-06_final
2021-11-06 11:26:53	ga_ls8c_ard_3-2-0_111075_2021-11-06_final
2021-11-06 11:27:17	ga_ls8c_ard_3-2-0_111076_2021-11-06_final
2021-11-06 11:27:41	ga_ls8c_ard_3-2-0_111077_2021-11-06_final
2021-11-06 11:28:05	ga_ls8c_ard_3-2-0_111078_2021-11-06_final
2021-11-06 11:28:29	ga_ls8c_ard_3-2-0_111079_2021-11-06_final
2021-11-06 11:28:53	ga_ls8c_ard_3-2-0_111080_2021-11-06_final
2021-11-06 11:29:17	ga_ls8c_ard_3-2-0_111081_2021-11-06_final
2021-11-06 11:29:41	ga_ls8c_ard_3-2-0_111082_2021-11-06_final
2021-11-06 11:30:05	ga_ls8c_ard_3-2-0_111083_2021-11-06_final
2021-11-06 11:30:29	ga_ls8c_ard_3-2-0_111084_2021-11-06_final
2021-11-06 11:30:53	ga_ls8c_ard_3-2-0_111085_2021-11-06_final
2021-11-07 10:28:28	ga_ls8c_ard_3-2-0_102068_2021-11-07_final
2021-11-07 10:28:52	ga_ls8c_ard_3-2-0_102069_2021-11-07_final
2021-11-07 10:29:16	ga_ls8c_ard_3-2-0_102070_2021-11-07_final
2021-11-07 10:29:40	ga_ls8c_ard_3-2-0_102071_2021-11-07_final
2021-11-07 10:30:04	ga_ls8c_ard_3-2-0_102072_2021-11-07_final
2021-11-07 10:30:28	ga_ls8c_ard_3-2-0_102073_2021-11-07_final
2021-11-07 10:30:52	ga_ls8c_ard_3-2-0_102074_2021-11-07_final
2021-11-07 10:32:52	ga_ls8c_ard_3-2-0_102079_2021-11-07_final
2021-11-07 10:33:16	ga_ls8c_ard_3-2-0_102080_2021-11-07_final
2021-11-07 10:34:27	ga_ls8c_ard_3-2-0_102083_2021-11-07_final
2021-11-08 09:32:27	ga_ls8c_ard_3-2-0_093067_2021-11-08_final
2021-11-08 09:32:51	ga_ls8c_ard_3-2-0_093068_2021-11-08_final
2021-11-08 09:34:02	ga_ls8c_ard_3-2-0_093071_2021-11-08_final
2021-11-08 09:34:26	ga_ls8c_ard_3-2-0_093072_2021-11-08_final
2021-11-08 09:34:50	ga_ls8c_ard_3-2-0_093073_2021-11-08_final
2021-11-08 09:35:14	ga_ls8c_ard_3-2-0_093074_2021-11-08_final
2021-11-08 09:35:38	ga_ls8c_ard_3-2-0_093075_2021-11-08_final
2021-11-08 09:36:02	ga_ls8c_ard_3-2-0_093076_2021-11-08_final
2021-11-08 09:37:14	ga_ls8c_ard_3-2-0_093079_2021-11-08_final
2021-11-08 09:38:26	ga_ls8c_ard_3-2-0_093082_2021-11-08_final
2021-11-08 09:38:50	ga_ls8c_ard_3-2-0_093083_2021-11-08_final
2021-11-08 09:39:14	ga_ls8c_ard_3-2-0_093084_2021-11-08_final
2021-11-08 09:39:38	ga_ls8c_ard_3-2-0_093085_2021-11-08_final
2021-11-08 09:40:02	ga_ls8c_ard_3-2-0_093086_2021-11-08_final
2021-11-08 09:40:26	ga_ls8c_ard_3-2-0_093087_2021-11-08_final
2021-11-08 09:40:50	ga_ls8c_ard_3-2-0_093088_2021-11-08_final
2021-11-08 11:12:08	ga_ls8c_ard_3-2-0_109069_2021-11-08_final
2021-11-08 11:12:32	ga_ls8c_ard_3-2-0_109070_2021-11-08_final
2021-11-08 11:12:55	ga_ls8c_ard_3-2-0_109071_2021-11-08_final
2021-11-08 11:13:19	ga_ls8c_ard_3-2-0_109072_2021-11-08_final
2021-11-08 11:13:43	ga_ls8c_ard_3-2-0_109073_2021-11-08_final
2021-11-08 11:14:07	ga_ls8c_ard_3-2-0_109074_2021-11-08_final
2021-11-08 11:14:31	ga_ls8c_ard_3-2-0_109075_2021-11-08_final
2021-11-08 11:14:55	ga_ls8c_ard_3-2-0_109076_2021-11-08_final
2021-11-08 11:15:43	ga_ls8c_ard_3-2-0_109078_2021-11-08_final
2021-11-08 11:16:07	ga_ls8c_ard_3-2-0_109079_2021-11-08_final
2021-11-08 11:16:31	ga_ls8c_ard_3-2-0_109080_2021-11-08_final
2021-11-08 11:16:55	ga_ls8c_ard_3-2-0_109081_2021-11-08_final
2021-11-08 11:17:19	ga_ls8c_ard_3-2-0_109082_2021-11-08_final
2021-11-08 11:17:43	ga_ls8c_ard_3-2-0_109083_2021-11-08_final
2021-11-08 11:18:07	ga_ls8c_ard_3-2-0_109084_2021-11-08_final
2021-11-08 11:18:31	ga_ls8c_ard_3-2-0_109085_2021-11-08_final
2021-11-09 10:15:42	ga_ls8c_ard_3-2-0_100067_2021-11-09_final
2021-11-09 10:16:06	ga_ls8c_ard_3-2-0_100068_2021-11-09_final
2021-11-09 10:16:30	ga_ls8c_ard_3-2-0_100069_2021-11-09_final
2021-11-09 10:16:54	ga_ls8c_ard_3-2-0_100070_2021-11-09_final
2021-11-09 10:17:18	ga_ls8c_ard_3-2-0_100071_2021-11-09_final
2021-11-09 10:18:54	ga_ls8c_ard_3-2-0_100075_2021-11-09_final
2021-11-09 10:20:05	ga_ls8c_ard_3-2-0_100078_2021-11-09_final
2021-11-09 10:22:53	ga_ls8c_ard_3-2-0_100085_2021-11-09_final
2021-11-09 11:57:47	ga_ls8c_ard_3-2-0_116075_2021-11-09_final
2021-11-09 11:58:11	ga_ls8c_ard_3-2-0_116076_2021-11-09_final
2021-11-09 11:58:34	ga_ls8c_ard_3-2-0_116077_2021-11-09_final
2021-11-09 11:58:58	ga_ls8c_ard_3-2-0_116078_2021-11-09_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