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

54 results

Time (local)	Label
2024-03-13 08:47:38	ga_ls8c_ard_3-2-1_085080_2024-03-12_interim
2024-03-13 08:48:02	ga_ls8c_ard_3-2-1_085081_2024-03-12_interim
2024-03-13 08:48:26	ga_ls8c_ard_3-2-1_085082_2024-03-12_final
2024-03-13 10:22:08	ga_ls8c_ard_3-2-1_101069_2024-03-13_interim
2024-03-15 10:08:33	ga_ls8c_ard_3-2-1_099066_2024-03-15_final
2024-03-16 09:22:54	ga_ls8c_ard_3-2-1_090091_2024-03-15_interim
2024-03-16 10:52:12	ga_ls8c_ard_3-2-1_106067_2024-03-16_interim
2024-03-16 12:31:05	ga_ls8c_ard_3-2-1_122067_2024-03-16_final
2024-03-17 11:42:14	ga_ls8c_ard_3-2-1_113084_2024-03-17_final
2024-03-18 09:04:08	ga_ls8c_ard_3-2-1_088075_2024-03-17_interim
2024-03-18 09:04:32	ga_ls8c_ard_3-2-1_088076_2024-03-17_interim
2024-03-18 10:39:49	ga_ls8c_ard_3-2-1_104067_2024-03-18_interim
2024-03-18 14:09:34	ga_ls8c_ard_3-2-1_136097_2024-03-18_final
2024-03-19 08:10:30	ga_ls8c_ard_3-2-1_079080_2024-03-18_final
2024-03-19 08:17:41	ga_ls8c_ard_3-2-1_079098_2024-03-18_final
2024-03-20 10:27:26	ga_ls8c_ard_3-2-1_102067_2024-03-20_interim
2024-03-22 08:42:09	ga_ls8c_ard_3-2-1_084082_2024-03-21_final
2024-03-22 11:57:07	ga_ls8c_ard_3-2-1_116075_2024-03-22_final
2024-03-23 10:58:41	ga_ls8c_ard_3-2-1_107068_2024-03-23_interim
2024-03-23 10:59:05	ga_ls8c_ard_3-2-1_107069_2024-03-23_final
2024-03-23 12:37:10	ga_ls8c_ard_3-2-1_123067_2024-03-23_final
2024-03-24 10:02:14	ga_ls8c_ard_3-2-1_098066_2024-03-24_final
2024-03-25 09:08:59	ga_ls8c_ard_3-2-1_089072_2024-03-24_interim
2024-03-25 09:15:22	ga_ls8c_ard_3-2-1_089088_2024-03-24_final
2024-03-26 08:23:43	ga_ls8c_ard_3-2-1_080098_2024-03-25_final
2024-03-26 13:08:23	ga_ls8c_ard_3-2-1_128068_2024-03-26_interim
2024-03-27 14:03:11	ga_ls8c_ard_3-2-1_135097_2024-03-27_final
2024-03-29 08:47:23	ga_ls8c_ard_3-2-1_085080_2024-03-28_interim
2024-03-29 08:47:47	ga_ls8c_ard_3-2-1_085081_2024-03-28_interim
2024-03-29 08:48:11	ga_ls8c_ard_3-2-1_085082_2024-03-28_final
2024-03-29 10:21:53	ga_ls8c_ard_3-2-1_101069_2024-03-29_interim
2024-03-31 10:08:20	ga_ls8c_ard_3-2-1_099066_2024-03-31_final
2024-04-01 09:22:42	ga_ls8c_ard_3-2-1_090091_2024-03-31_interim
2024-04-01 10:52:00	ga_ls8c_ard_3-2-1_106067_2024-04-01_interim
2024-04-01 12:30:53	ga_ls8c_ard_3-2-1_122067_2024-04-01_final
2024-04-02 11:42:03	ga_ls8c_ard_3-2-1_113084_2024-04-02_final
2024-04-03 09:03:57	ga_ls8c_ard_3-2-1_088075_2024-04-02_interim
2024-04-03 09:04:21	ga_ls8c_ard_3-2-1_088076_2024-04-02_interim
2024-04-03 10:39:39	ga_ls8c_ard_3-2-1_104067_2024-04-03_interim
2024-04-03 14:09:23	ga_ls8c_ard_3-2-1_136097_2024-04-03_final
2024-04-04 08:10:19	ga_ls8c_ard_3-2-1_079080_2024-04-03_final
2024-04-05 10:27:17	ga_ls8c_ard_3-2-1_102067_2024-04-05_interim
2024-04-08 10:58:34	ga_ls8c_ard_3-2-1_107068_2024-04-08_interim
2024-04-08 10:58:58	ga_ls8c_ard_3-2-1_107069_2024-04-08_final
2024-04-08 10:59:46	ga_ls8c_ard_3-2-1_107071_2024-04-08_final
2024-04-08 11:00:10	ga_ls8c_ard_3-2-1_107072_2024-04-08_final
2024-04-08 11:00:34	ga_ls8c_ard_3-2-1_107073_2024-04-08_final
2024-04-08 11:01:22	ga_ls8c_ard_3-2-1_107075_2024-04-08_final
2024-04-08 11:02:10	ga_ls8c_ard_3-2-1_107077_2024-04-08_final
2024-04-08 11:02:34	ga_ls8c_ard_3-2-1_107078_2024-04-08_final
2024-04-08 11:02:57	ga_ls8c_ard_3-2-1_107079_2024-04-08_final
2024-04-08 11:03:21	ga_ls8c_ard_3-2-1_107080_2024-04-08_final
2024-04-08 11:03:45	ga_ls8c_ard_3-2-1_107081_2024-04-08_final
2024-04-08 12:37:03	ga_ls8c_ard_3-2-1_123067_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