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

67 results

Time (local)	Label
2021-08-30 10:09:21	ga_ls8c_ard_3-2-0_099067_2021-08-30_final
2021-08-30 10:09:45	ga_ls8c_ard_3-2-0_099068_2021-08-30_final
2021-08-30 10:10:09	ga_ls8c_ard_3-2-0_099069_2021-08-30_final
2021-08-30 10:10:56	ga_ls8c_ard_3-2-0_099071_2021-08-30_final
2021-08-30 10:11:20	ga_ls8c_ard_3-2-0_099072_2021-08-30_final
2021-08-30 10:11:44	ga_ls8c_ard_3-2-0_099073_2021-08-30_final
2021-08-30 10:12:08	ga_ls8c_ard_3-2-0_099074_2021-08-30_final
2021-08-30 10:12:32	ga_ls8c_ard_3-2-0_099075_2021-08-30_final
2021-08-30 10:12:56	ga_ls8c_ard_3-2-0_099076_2021-08-30_final
2021-08-30 10:13:20	ga_ls8c_ard_3-2-0_099077_2021-08-30_final
2021-08-30 10:13:44	ga_ls8c_ard_3-2-0_099078_2021-08-30_final
2021-08-30 10:14:56	ga_ls8c_ard_3-2-0_099081_2021-08-30_final
2021-08-31 09:16:31	ga_ls8c_ard_3-2-0_090074_2021-08-30_final
2021-08-31 09:16:55	ga_ls8c_ard_3-2-0_090075_2021-08-30_final
2021-08-31 09:17:19	ga_ls8c_ard_3-2-0_090076_2021-08-30_final
2021-08-31 09:17:43	ga_ls8c_ard_3-2-0_090077_2021-08-30_final
2021-08-31 09:18:07	ga_ls8c_ard_3-2-0_090078_2021-08-30_final
2021-08-31 09:18:31	ga_ls8c_ard_3-2-0_090079_2021-08-30_final
2021-08-31 09:18:55	ga_ls8c_ard_3-2-0_090080_2021-08-30_final
2021-08-31 09:19:43	ga_ls8c_ard_3-2-0_090082_2021-08-30_final
2021-08-31 09:20:31	ga_ls8c_ard_3-2-0_090084_2021-08-30_final
2021-08-31 09:20:55	ga_ls8c_ard_3-2-0_090085_2021-08-30_final
2021-08-31 09:21:19	ga_ls8c_ard_3-2-0_090086_2021-08-30_final
2021-08-31 09:22:07	ga_ls8c_ard_3-2-0_090088_2021-08-30_final
2021-08-31 09:22:31	ga_ls8c_ard_3-2-0_090089_2021-08-30_final
2021-08-31 09:22:54	ga_ls8c_ard_3-2-0_090090_2021-08-30_final
2021-08-31 10:53:01	ga_ls8c_ard_3-2-0_106068_2021-08-31_final
2021-08-31 10:54:12	ga_ls8c_ard_3-2-0_106071_2021-08-31_final
2021-08-31 10:55:00	ga_ls8c_ard_3-2-0_106073_2021-08-31_final
2021-08-31 10:57:24	ga_ls8c_ard_3-2-0_106079_2021-08-31_final
2021-08-31 10:57:48	ga_ls8c_ard_3-2-0_106080_2021-08-31_final
2021-08-31 10:58:12	ga_ls8c_ard_3-2-0_106081_2021-08-31_final
2021-09-01 09:57:00	ga_ls8c_ard_3-2-0_097067_2021-09-01_final
2021-09-01 09:57:24	ga_ls8c_ard_3-2-0_097068_2021-09-01_final
2021-09-01 09:57:48	ga_ls8c_ard_3-2-0_097069_2021-09-01_final
2021-09-01 09:58:12	ga_ls8c_ard_3-2-0_097070_2021-09-01_final
2021-09-01 09:58:35	ga_ls8c_ard_3-2-0_097071_2021-09-01_final
2021-09-01 09:58:59	ga_ls8c_ard_3-2-0_097072_2021-09-01_final
2021-09-01 09:59:23	ga_ls8c_ard_3-2-0_097073_2021-09-01_final
2021-09-01 09:59:47	ga_ls8c_ard_3-2-0_097074_2021-09-01_final
2021-09-01 10:00:11	ga_ls8c_ard_3-2-0_097075_2021-09-01_final
2021-09-01 10:00:59	ga_ls8c_ard_3-2-0_097077_2021-09-01_final
2021-09-01 10:01:23	ga_ls8c_ard_3-2-0_097078_2021-09-01_final
2021-09-01 10:01:47	ga_ls8c_ard_3-2-0_097079_2021-09-01_final
2021-09-01 10:02:35	ga_ls8c_ard_3-2-0_097081_2021-09-01_final
2021-09-01 10:03:23	ga_ls8c_ard_3-2-0_097083_2021-09-01_final
2021-09-01 10:03:47	ga_ls8c_ard_3-2-0_097084_2021-09-01_final
2021-09-01 10:04:11	ga_ls8c_ard_3-2-0_097085_2021-09-01_final
2021-09-01 10:04:35	ga_ls8c_ard_3-2-0_097086_2021-09-01_final
2021-09-01 11:35:53	ga_ls8c_ard_3-2-0_113067_2021-09-01_final
2021-09-01 11:37:53	ga_ls8c_ard_3-2-0_113072_2021-09-01_final
2021-09-01 11:38:16	ga_ls8c_ard_3-2-0_113073_2021-09-01_final
2021-09-01 11:38:40	ga_ls8c_ard_3-2-0_113074_2021-09-01_final
2021-09-01 11:39:04	ga_ls8c_ard_3-2-0_113075_2021-09-01_final
2021-09-01 11:39:28	ga_ls8c_ard_3-2-0_113076_2021-09-01_final
2021-09-01 11:39:52	ga_ls8c_ard_3-2-0_113077_2021-09-01_final
2021-09-01 11:40:16	ga_ls8c_ard_3-2-0_113078_2021-09-01_final
2021-09-01 11:41:04	ga_ls8c_ard_3-2-0_113080_2021-09-01_final
2021-09-01 11:41:52	ga_ls8c_ard_3-2-0_113082_2021-09-01_final
2021-09-01 11:42:16	ga_ls8c_ard_3-2-0_113083_2021-09-01_final
2021-09-01 11:42:40	ga_ls8c_ard_3-2-0_113084_2021-09-01_final
2021-09-02 09:06:10	ga_ls8c_ard_3-2-0_088079_2021-09-01_final
2021-09-02 09:06:34	ga_ls8c_ard_3-2-0_088080_2021-09-01_final
2021-09-02 09:06:58	ga_ls8c_ard_3-2-0_088081_2021-09-01_final
2021-09-02 09:07:22	ga_ls8c_ard_3-2-0_088082_2021-09-01_final
2021-09-02 09:07:46	ga_ls8c_ard_3-2-0_088083_2021-09-01_final
2021-09-02 09:08:10	ga_ls8c_ard_3-2-0_088084_2021-09-01_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years