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

86 results

Time (local)	Label
2021-09-30 09:30:12	ga_ls8c_ard_3-2-0_092077_2021-09-30_final
2021-09-30 09:33:00	ga_ls8c_ard_3-2-0_092084_2021-09-30_final
2021-09-30 09:33:24	ga_ls8c_ard_3-2-0_092085_2021-09-30_final
2021-09-30 09:35:00	ga_ls8c_ard_3-2-0_092089_2021-09-30_final
2021-10-02 09:16:40	ga_ls8c_ard_3-2-0_090074_2021-10-01_final
2021-10-02 09:17:04	ga_ls8c_ard_3-2-0_090075_2021-10-01_final
2021-10-02 09:17:28	ga_ls8c_ard_3-2-0_090076_2021-10-01_final
2021-10-02 09:17:52	ga_ls8c_ard_3-2-0_090077_2021-10-01_final
2021-10-02 09:18:16	ga_ls8c_ard_3-2-0_090078_2021-10-01_final
2021-10-02 09:18:39	ga_ls8c_ard_3-2-0_090079_2021-10-01_final
2021-10-02 09:19:03	ga_ls8c_ard_3-2-0_090080_2021-10-01_final
2021-10-02 09:19:27	ga_ls8c_ard_3-2-0_090081_2021-10-01_final
2021-10-02 09:19:51	ga_ls8c_ard_3-2-0_090082_2021-10-01_final
2021-10-02 09:20:15	ga_ls8c_ard_3-2-0_090083_2021-10-01_final
2021-10-02 09:20:39	ga_ls8c_ard_3-2-0_090084_2021-10-01_final
2021-10-02 09:21:03	ga_ls8c_ard_3-2-0_090085_2021-10-01_final
2021-10-02 09:21:27	ga_ls8c_ard_3-2-0_090086_2021-10-01_final
2021-10-02 09:21:51	ga_ls8c_ard_3-2-0_090087_2021-10-01_final
2021-10-02 09:22:15	ga_ls8c_ard_3-2-0_090088_2021-10-01_final
2021-10-02 09:22:39	ga_ls8c_ard_3-2-0_090089_2021-10-01_final
2021-10-02 09:23:03	ga_ls8c_ard_3-2-0_090090_2021-10-01_final
2021-10-02 09:23:27	ga_ls8c_ard_3-2-0_090091_2021-10-01_final
2021-10-02 10:52:45	ga_ls8c_ard_3-2-0_106067_2021-10-02_final
2021-10-02 10:53:09	ga_ls8c_ard_3-2-0_106068_2021-10-02_final
2021-10-02 10:53:33	ga_ls8c_ard_3-2-0_106069_2021-10-02_final
2021-10-02 10:53:57	ga_ls8c_ard_3-2-0_106070_2021-10-02_final
2021-10-02 10:54:45	ga_ls8c_ard_3-2-0_106072_2021-10-02_final
2021-10-02 10:55:09	ga_ls8c_ard_3-2-0_106073_2021-10-02_final
2021-10-02 10:55:33	ga_ls8c_ard_3-2-0_106074_2021-10-02_final
2021-10-02 10:55:57	ga_ls8c_ard_3-2-0_106075_2021-10-02_final
2021-10-02 10:56:21	ga_ls8c_ard_3-2-0_106076_2021-10-02_final
2021-10-02 10:56:45	ga_ls8c_ard_3-2-0_106077_2021-10-02_final
2021-10-02 10:57:09	ga_ls8c_ard_3-2-0_106078_2021-10-02_final
2021-10-02 10:57:33	ga_ls8c_ard_3-2-0_106079_2021-10-02_final
2021-10-02 10:57:56	ga_ls8c_ard_3-2-0_106080_2021-10-02_final
2021-10-02 10:58:20	ga_ls8c_ard_3-2-0_106081_2021-10-02_final
2021-10-02 10:58:44	ga_ls8c_ard_3-2-0_106082_2021-10-02_final
2021-10-02 10:59:08	ga_ls8c_ard_3-2-0_106083_2021-10-02_final
2021-10-02 10:59:32	ga_ls8c_ard_3-2-0_106084_2021-10-02_final
2021-10-03 09:57:08	ga_ls8c_ard_3-2-0_097067_2021-10-03_final
2021-10-03 09:57:32	ga_ls8c_ard_3-2-0_097068_2021-10-03_final
2021-10-03 09:57:56	ga_ls8c_ard_3-2-0_097069_2021-10-03_final
2021-10-03 09:58:20	ga_ls8c_ard_3-2-0_097070_2021-10-03_final
2021-10-03 09:58:44	ga_ls8c_ard_3-2-0_097071_2021-10-03_final
2021-10-03 09:59:08	ga_ls8c_ard_3-2-0_097072_2021-10-03_final
2021-10-03 09:59:32	ga_ls8c_ard_3-2-0_097073_2021-10-03_final
2021-10-03 09:59:56	ga_ls8c_ard_3-2-0_097074_2021-10-03_final
2021-10-03 10:00:20	ga_ls8c_ard_3-2-0_097075_2021-10-03_final
2021-10-03 10:00:44	ga_ls8c_ard_3-2-0_097076_2021-10-03_final
2021-10-03 10:01:08	ga_ls8c_ard_3-2-0_097077_2021-10-03_final
2021-10-03 10:01:32	ga_ls8c_ard_3-2-0_097078_2021-10-03_final
2021-10-03 10:01:56	ga_ls8c_ard_3-2-0_097079_2021-10-03_final
2021-10-03 10:02:43	ga_ls8c_ard_3-2-0_097081_2021-10-03_final
2021-10-03 10:03:31	ga_ls8c_ard_3-2-0_097083_2021-10-03_final
2021-10-03 10:03:55	ga_ls8c_ard_3-2-0_097084_2021-10-03_final
2021-10-03 10:04:19	ga_ls8c_ard_3-2-0_097085_2021-10-03_final
2021-10-03 10:04:43	ga_ls8c_ard_3-2-0_097086_2021-10-03_final
2021-10-03 11:38:01	ga_ls8c_ard_3-2-0_113072_2021-10-03_final
2021-10-03 11:39:13	ga_ls8c_ard_3-2-0_113075_2021-10-03_final
2021-10-03 11:40:01	ga_ls8c_ard_3-2-0_113077_2021-10-03_final
2021-10-03 11:40:25	ga_ls8c_ard_3-2-0_113078_2021-10-03_final
2021-10-03 11:41:13	ga_ls8c_ard_3-2-0_113080_2021-10-03_final
2021-10-03 11:42:00	ga_ls8c_ard_3-2-0_113082_2021-10-03_final
2021-10-04 09:06:19	ga_ls8c_ard_3-2-0_088079_2021-10-03_final
2021-10-04 09:06:43	ga_ls8c_ard_3-2-0_088080_2021-10-03_final
2021-10-04 09:07:07	ga_ls8c_ard_3-2-0_088081_2021-10-03_final
2021-10-04 09:07:30	ga_ls8c_ard_3-2-0_088082_2021-10-03_final
2021-10-04 09:07:54	ga_ls8c_ard_3-2-0_088083_2021-10-03_final
2021-10-04 09:08:18	ga_ls8c_ard_3-2-0_088084_2021-10-03_final
2021-10-04 10:40:24	ga_ls8c_ard_3-2-0_104067_2021-10-04_final
2021-10-04 10:40:48	ga_ls8c_ard_3-2-0_104068_2021-10-04_final
2021-10-04 10:41:12	ga_ls8c_ard_3-2-0_104069_2021-10-04_final
2021-10-04 10:41:36	ga_ls8c_ard_3-2-0_104070_2021-10-04_final
2021-10-04 10:42:00	ga_ls8c_ard_3-2-0_104071_2021-10-04_final
2021-10-04 10:42:24	ga_ls8c_ard_3-2-0_104072_2021-10-04_final
2021-10-04 10:42:48	ga_ls8c_ard_3-2-0_104073_2021-10-04_final
2021-10-04 10:43:12	ga_ls8c_ard_3-2-0_104074_2021-10-04_final
2021-10-04 10:43:36	ga_ls8c_ard_3-2-0_104075_2021-10-04_final
2021-10-04 10:44:00	ga_ls8c_ard_3-2-0_104076_2021-10-04_final
2021-10-04 10:44:24	ga_ls8c_ard_3-2-0_104077_2021-10-04_final
2021-10-04 10:44:48	ga_ls8c_ard_3-2-0_104078_2021-10-04_final
2021-10-04 10:45:12	ga_ls8c_ard_3-2-0_104079_2021-10-04_final
2021-10-04 10:45:36	ga_ls8c_ard_3-2-0_104080_2021-10-04_final
2021-10-04 10:46:00	ga_ls8c_ard_3-2-0_104081_2021-10-04_final
2021-10-04 10:46:23	ga_ls8c_ard_3-2-0_104082_2021-10-04_final
2021-10-04 10:46:47	ga_ls8c_ard_3-2-0_104083_2021-10-04_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