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

48 results

Time (local)	Label
2020-07-04 09:12:19	ga_ls8c_ard_3-1-0_089080_2020-07-03_final
2020-07-13 09:06:12	ga_ls8c_ard_3-1-0_088080_2020-07-12_final
2020-07-13 09:06:35	ga_ls8c_ard_3-1-0_088081_2020-07-12_final
2020-07-13 09:06:59	ga_ls8c_ard_3-1-0_088082_2020-07-12_final
2020-07-20 09:10:01	ga_ls8c_ard_3-1-0_089074_2020-07-19_final
2020-07-20 09:10:25	ga_ls8c_ard_3-1-0_089075_2020-07-19_final
2020-07-20 09:10:49	ga_ls8c_ard_3-1-0_089076_2020-07-19_final
2020-07-20 09:11:13	ga_ls8c_ard_3-1-0_089077_2020-07-19_final
2020-07-20 09:11:37	ga_ls8c_ard_3-1-0_089078_2020-07-19_final
2020-07-20 09:12:01	ga_ls8c_ard_3-1-0_089079_2020-07-19_final
2020-07-20 09:12:49	ga_ls8c_ard_3-1-0_089081_2020-07-19_final
2020-07-20 09:13:13	ga_ls8c_ard_3-1-0_089082_2020-07-19_final
2020-07-20 09:13:36	ga_ls8c_ard_3-1-0_089083_2020-07-19_final
2020-07-20 09:14:00	ga_ls8c_ard_3-1-0_089084_2020-07-19_final
2020-07-20 09:14:24	ga_ls8c_ard_3-1-0_089085_2020-07-19_final
2020-07-20 09:14:48	ga_ls8c_ard_3-1-0_089086_2020-07-19_final
2020-07-20 09:16:00	ga_ls8c_ard_3-1-0_089089_2020-07-19_final
2020-07-20 09:16:24	ga_ls8c_ard_3-1-0_089090_2020-07-19_final
2020-07-27 09:16:14	ga_ls8c_ard_3-1-0_090074_2020-07-26_final
2020-07-29 09:05:52	ga_ls8c_ard_3-1-0_088079_2020-07-28_final
2020-07-29 09:06:16	ga_ls8c_ard_3-1-0_088080_2020-07-28_final
2020-07-29 09:06:40	ga_ls8c_ard_3-1-0_088081_2020-07-28_final
2020-07-29 09:07:04	ga_ls8c_ard_3-1-0_088082_2020-07-28_final
2020-07-29 09:07:28	ga_ls8c_ard_3-1-0_088083_2020-07-28_final
2020-07-29 09:07:52	ga_ls8c_ard_3-1-0_088084_2020-07-28_final
2020-08-18 10:22:08	ga_ls8c_ard_3-1-0_100084_2020-08-18_final
2020-08-18 10:22:32	ga_ls8c_ard_3-1-0_100085_2020-08-18_final
2020-08-19 09:20:08	ga_ls8c_ard_3-1-0_091068_2020-08-18_final
2020-08-19 09:21:44	ga_ls8c_ard_3-1-0_091072_2020-08-18_final
2020-08-19 09:22:08	ga_ls8c_ard_3-1-0_091073_2020-08-18_final
2020-08-19 09:22:32	ga_ls8c_ard_3-1-0_091074_2020-08-18_final
2020-08-19 09:22:56	ga_ls8c_ard_3-1-0_091075_2020-08-18_final
2020-08-19 09:23:19	ga_ls8c_ard_3-1-0_091076_2020-08-18_final
2020-08-19 09:23:43	ga_ls8c_ard_3-1-0_091077_2020-08-18_final
2020-08-19 09:24:07	ga_ls8c_ard_3-1-0_091078_2020-08-18_final
2020-08-19 09:24:31	ga_ls8c_ard_3-1-0_091079_2020-08-18_final
2020-08-19 09:24:55	ga_ls8c_ard_3-1-0_091080_2020-08-18_final
2020-08-19 09:25:19	ga_ls8c_ard_3-1-0_091081_2020-08-18_final
2020-08-19 09:25:43	ga_ls8c_ard_3-1-0_091082_2020-08-18_final
2020-08-19 09:26:07	ga_ls8c_ard_3-1-0_091083_2020-08-18_final
2020-08-19 09:26:31	ga_ls8c_ard_3-1-0_091084_2020-08-18_final
2020-08-19 09:26:55	ga_ls8c_ard_3-1-0_091085_2020-08-18_final
2020-08-19 09:27:19	ga_ls8c_ard_3-1-0_091086_2020-08-18_final
2020-08-19 09:27:43	ga_ls8c_ard_3-1-0_091087_2020-08-18_final
2020-08-19 09:28:07	ga_ls8c_ard_3-1-0_091088_2020-08-18_final
2020-08-19 09:28:31	ga_ls8c_ard_3-1-0_091089_2020-08-18_final
2020-08-19 09:28:55	ga_ls8c_ard_3-1-0_091090_2020-08-18_final
2020-08-19 09:29:19	ga_ls8c_ard_3-1-0_091091_2020-08-18_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