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

72 results

Time (local)	Label
2024-01-07 10:35:32	ga_ls8c_ard_3-2-1_103071_2024-01-07_final
2024-01-07 10:37:08	ga_ls8c_ard_3-2-1_103075_2024-01-07_final
2024-01-07 10:37:32	ga_ls8c_ard_3-2-1_103076_2024-01-07_final
2024-01-07 10:38:44	ga_ls8c_ard_3-2-1_103079_2024-01-07_final
2024-01-08 09:40:19	ga_ls8c_ard_3-2-1_094072_2024-01-08_final
2024-01-08 09:40:43	ga_ls8c_ard_3-2-1_094073_2024-01-08_final
2024-01-08 09:45:07	ga_ls8c_ard_3-2-1_094084_2024-01-08_final
2024-01-08 11:19:36	ga_ls8c_ard_3-2-1_110073_2024-01-08_final
2024-01-08 11:22:24	ga_ls8c_ard_3-2-1_110080_2024-01-08_final
2024-01-08 11:24:00	ga_ls8c_ard_3-2-1_110084_2024-01-08_final
2024-01-09 10:23:12	ga_ls8c_ard_3-2-1_101071_2024-01-09_final
2024-01-09 10:23:59	ga_ls8c_ard_3-2-1_101073_2024-01-09_final
2024-01-09 10:24:23	ga_ls8c_ard_3-2-1_101074_2024-01-09_final
2024-01-09 10:26:47	ga_ls8c_ard_3-2-1_101080_2024-01-09_final
2024-01-09 10:27:35	ga_ls8c_ard_3-2-1_101082_2024-01-09_final
2024-01-10 09:28:23	ga_ls8c_ard_3-2-1_092073_2024-01-09_final
2024-01-10 09:30:22	ga_ls8c_ard_3-2-1_092078_2024-01-10_final
2024-01-10 09:31:34	ga_ls8c_ard_3-2-1_092081_2024-01-10_final
2024-01-10 09:32:46	ga_ls8c_ard_3-2-1_092084_2024-01-10_final
2024-01-10 09:33:58	ga_ls8c_ard_3-2-1_092087_2024-01-10_final
2024-01-10 09:34:22	ga_ls8c_ard_3-2-1_092088_2024-01-10_final
2024-01-10 09:34:46	ga_ls8c_ard_3-2-1_092089_2024-01-10_final
2024-01-10 09:35:10	ga_ls8c_ard_3-2-1_092090_2024-01-10_final
2024-01-10 11:07:39	ga_ls8c_ard_3-2-1_108074_2024-01-10_final
2024-01-10 11:08:03	ga_ls8c_ard_3-2-1_108075_2024-01-10_final
2024-01-11 10:10:27	ga_ls8c_ard_3-2-1_099070_2024-01-11_final
2024-01-11 10:11:15	ga_ls8c_ard_3-2-1_099072_2024-01-11_final
2024-01-11 10:12:26	ga_ls8c_ard_3-2-1_099075_2024-01-11_final
2024-01-11 10:14:26	ga_ls8c_ard_3-2-1_099080_2024-01-11_final
2024-01-11 10:14:50	ga_ls8c_ard_3-2-1_099081_2024-01-11_final
2024-01-11 10:15:14	ga_ls8c_ard_3-2-1_099082_2024-01-11_final
2024-01-11 10:15:38	ga_ls8c_ard_3-2-1_099083_2024-01-11_final
2024-01-11 11:51:20	ga_ls8c_ard_3-2-1_115075_2024-01-11_final
2024-01-11 11:52:31	ga_ls8c_ard_3-2-1_115078_2024-01-11_final
2024-01-11 11:52:55	ga_ls8c_ard_3-2-1_115079_2024-01-11_final
2024-01-11 11:53:19	ga_ls8c_ard_3-2-1_115080_2024-01-11_final
2024-01-13 09:56:54	ga_ls8c_ard_3-2-1_097067_2024-01-13_final
2024-01-13 09:58:30	ga_ls8c_ard_3-2-1_097071_2024-01-13_final
2024-01-13 10:00:29	ga_ls8c_ard_3-2-1_097076_2024-01-13_final
2024-01-13 10:01:17	ga_ls8c_ard_3-2-1_097078_2024-01-13_final
2024-01-13 10:01:41	ga_ls8c_ard_3-2-1_097079_2024-01-13_final
2024-01-13 10:02:05	ga_ls8c_ard_3-2-1_097080_2024-01-13_final
2024-01-13 10:03:17	ga_ls8c_ard_3-2-1_097083_2024-01-13_final
2024-01-13 10:03:41	ga_ls8c_ard_3-2-1_097084_2024-01-13_final
2024-01-13 11:39:46	ga_ls8c_ard_3-2-1_113077_2024-01-13_final
2024-01-24 09:41:52	ga_ls8c_ard_3-2-1_094076_2024-01-24_nrt
2024-01-24 09:42:40	ga_ls8c_ard_3-2-1_094078_2024-01-24_nrt
2024-01-24 09:45:03	ga_ls8c_ard_3-2-1_094084_2024-01-24_nrt
2024-01-24 09:46:15	ga_ls8c_ard_3-2-1_094087_2024-01-24_nrt
2024-01-24 11:17:57	ga_ls8c_ard_3-2-1_110069_2024-01-24_nrt
2024-01-24 11:19:09	ga_ls8c_ard_3-2-1_110072_2024-01-24_nrt
2024-01-24 11:19:33	ga_ls8c_ard_3-2-1_110073_2024-01-24_nrt
2024-01-24 11:19:57	ga_ls8c_ard_3-2-1_110074_2024-01-24_nrt
2024-01-24 11:21:09	ga_ls8c_ard_3-2-1_110077_2024-01-24_nrt
2024-01-24 11:21:32	ga_ls8c_ard_3-2-1_110078_2024-01-24_nrt
2024-01-24 11:21:56	ga_ls8c_ard_3-2-1_110079_2024-01-24_nrt
2024-01-24 11:22:44	ga_ls8c_ard_3-2-1_110081_2024-01-24_nrt
2024-01-24 11:23:32	ga_ls8c_ard_3-2-1_110083_2024-01-24_nrt
2024-01-25 10:22:43	ga_ls8c_ard_3-2-1_101070_2024-01-25_nrt
2024-01-25 10:23:07	ga_ls8c_ard_3-2-1_101071_2024-01-25_nrt
2024-01-25 10:23:30	ga_ls8c_ard_3-2-1_101072_2024-01-25_nrt
2024-01-25 10:23:54	ga_ls8c_ard_3-2-1_101073_2024-01-25_nrt
2024-01-25 10:24:18	ga_ls8c_ard_3-2-1_101074_2024-01-25_nrt
2024-01-25 10:24:42	ga_ls8c_ard_3-2-1_101075_2024-01-25_nrt
2024-01-25 10:25:06	ga_ls8c_ard_3-2-1_101076_2024-01-25_nrt
2024-01-25 10:25:30	ga_ls8c_ard_3-2-1_101077_2024-01-25_nrt
2024-01-25 10:25:54	ga_ls8c_ard_3-2-1_101078_2024-01-25_nrt
2024-01-25 10:26:18	ga_ls8c_ard_3-2-1_101079_2024-01-25_nrt
2024-01-25 10:26:42	ga_ls8c_ard_3-2-1_101080_2024-01-25_nrt
2024-01-25 10:27:06	ga_ls8c_ard_3-2-1_101081_2024-01-25_nrt
2024-01-25 10:27:30	ga_ls8c_ard_3-2-1_101082_2024-01-25_nrt
2024-01-25 10:27:54	ga_ls8c_ard_3-2-1_101083_2024-01-25_nrt

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