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

First 100 results (query limit)

Time (local)	Label
2019-07-11 10:41:58	ga_ls8c_ard_3-1-0_104072_2019-07-11_final
2019-07-11 10:42:22	ga_ls8c_ard_3-1-0_104073_2019-07-11_final
2019-07-11 10:42:45	ga_ls8c_ard_3-1-0_104074_2019-07-11_final
2019-07-11 10:43:09	ga_ls8c_ard_3-1-0_104075_2019-07-11_final
2019-07-11 10:43:33	ga_ls8c_ard_3-1-0_104076_2019-07-11_final
2019-07-11 10:43:57	ga_ls8c_ard_3-1-0_104077_2019-07-11_final
2019-07-11 10:44:21	ga_ls8c_ard_3-1-0_104078_2019-07-11_final
2019-07-25 10:52:24	ga_ls8c_ard_3-1-0_106067_2019-07-25_final
2019-07-25 10:52:47	ga_ls8c_ard_3-1-0_106068_2019-07-25_final
2019-08-10 10:52:30	ga_ls8c_ard_3-1-0_106067_2019-08-10_final
2019-08-10 10:52:54	ga_ls8c_ard_3-1-0_106068_2019-08-10_final
2019-08-28 10:42:13	ga_ls8c_ard_3-1-0_104072_2019-08-28_final
2019-08-28 10:42:37	ga_ls8c_ard_3-1-0_104073_2019-08-28_final
2019-08-28 10:43:01	ga_ls8c_ard_3-1-0_104074_2019-08-28_final
2019-08-28 10:43:25	ga_ls8c_ard_3-1-0_104075_2019-08-28_final
2019-08-28 10:43:48	ga_ls8c_ard_3-1-0_104076_2019-08-28_final
2019-08-28 10:44:12	ga_ls8c_ard_3-1-0_104077_2019-08-28_final
2019-08-28 10:44:36	ga_ls8c_ard_3-1-0_104078_2019-08-28_final
2019-08-30 10:33:27	ga_ls8c_ard_3-1-0_102081_2019-08-30_final
2019-08-30 10:33:51	ga_ls8c_ard_3-1-0_102082_2019-08-30_final
2019-08-30 10:34:15	ga_ls8c_ard_3-1-0_102083_2019-08-30_final
2019-09-06 10:38:03	ga_ls8c_ard_3-1-0_103077_2019-09-06_final
2019-09-06 10:38:27	ga_ls8c_ard_3-1-0_103078_2019-09-06_final
2019-09-06 10:38:51	ga_ls8c_ard_3-1-0_103079_2019-09-06_final
2019-09-06 10:39:15	ga_ls8c_ard_3-1-0_103080_2019-09-06_final
2019-09-06 10:39:39	ga_ls8c_ard_3-1-0_103081_2019-09-06_final
2019-09-06 10:40:03	ga_ls8c_ard_3-1-0_103082_2019-09-06_final
2019-10-13 10:52:47	ga_ls8c_ard_3-1-0_106067_2019-10-13_final
2019-10-13 10:53:11	ga_ls8c_ard_3-1-0_106068_2019-10-13_final
2019-10-24 10:38:14	ga_ls8c_ard_3-1-0_103077_2019-10-24_final
2019-10-24 10:38:38	ga_ls8c_ard_3-1-0_103078_2019-10-24_final
2019-10-24 10:39:02	ga_ls8c_ard_3-1-0_103079_2019-10-24_final
2019-10-24 10:39:26	ga_ls8c_ard_3-1-0_103080_2019-10-24_final
2019-10-24 10:39:50	ga_ls8c_ard_3-1-0_103081_2019-10-24_final
2019-10-24 10:40:14	ga_ls8c_ard_3-1-0_103082_2019-10-24_final
2021-01-05 10:42:17	ga_ls8c_ard_3-2-0_104072_2021-01-05_final
2021-01-05 10:42:41	ga_ls8c_ard_3-2-0_104073_2021-01-05_final
2021-01-05 10:43:05	ga_ls8c_ard_3-2-0_104074_2021-01-05_final
2021-01-05 10:43:29	ga_ls8c_ard_3-2-0_104075_2021-01-05_final
2021-01-05 10:43:52	ga_ls8c_ard_3-2-0_104076_2021-01-05_final
2021-01-05 10:44:16	ga_ls8c_ard_3-2-0_104077_2021-01-05_final
2021-01-05 10:44:40	ga_ls8c_ard_3-2-0_104078_2021-01-05_final
2021-01-07 10:33:30	ga_ls8c_ard_3-2-0_102081_2021-01-07_final
2021-01-07 10:33:54	ga_ls8c_ard_3-2-0_102082_2021-01-07_final
2021-01-07 10:34:18	ga_ls8c_ard_3-2-0_102083_2021-01-07_final
2021-02-20 10:52:26	ga_ls8c_ard_3-2-0_106067_2021-02-20_final
2021-02-20 10:52:50	ga_ls8c_ard_3-2-0_106068_2021-02-20_final
2021-03-19 10:37:39	ga_ls8c_ard_3-2-0_103077_2021-03-19_final
2021-03-19 10:38:03	ga_ls8c_ard_3-2-0_103078_2021-03-19_final
2021-03-19 10:38:27	ga_ls8c_ard_3-2-0_103079_2021-03-19_final
2021-03-19 10:38:51	ga_ls8c_ard_3-2-0_103080_2021-03-19_final
2021-03-19 10:39:15	ga_ls8c_ard_3-2-0_103081_2021-03-19_final
2021-03-19 10:39:39	ga_ls8c_ard_3-2-0_103082_2021-03-19_final
2021-04-02 10:45:59	ga_ls8c_ard_3-2-0_105067_2021-04-02_final
2021-04-02 10:46:23	ga_ls8c_ard_3-2-0_105068_2021-04-02_final
2021-04-02 10:46:47	ga_ls8c_ard_3-2-0_105069_2021-04-02_final
2021-04-02 10:47:11	ga_ls8c_ard_3-2-0_105070_2021-04-02_final
2021-04-02 10:47:35	ga_ls8c_ard_3-2-0_105071_2021-04-02_final
2021-04-02 10:47:59	ga_ls8c_ard_3-2-0_105072_2021-04-02_final
2021-04-02 10:48:22	ga_ls8c_ard_3-2-0_105073_2021-04-02_final
2021-04-04 10:37:36	ga_ls8c_ard_3-2-0_103077_2021-04-04_final
2021-04-04 10:38:00	ga_ls8c_ard_3-2-0_103078_2021-04-04_final
2021-04-04 10:38:24	ga_ls8c_ard_3-2-0_103079_2021-04-04_final
2021-04-04 10:38:48	ga_ls8c_ard_3-2-0_103080_2021-04-04_final
2021-04-04 10:39:12	ga_ls8c_ard_3-2-0_103081_2021-04-04_final
2021-04-04 10:39:36	ga_ls8c_ard_3-2-0_103082_2021-04-04_final
2021-04-09 10:52:07	ga_ls8c_ard_3-2-0_106067_2021-04-09_final
2021-04-09 10:52:31	ga_ls8c_ard_3-2-0_106068_2021-04-09_final
2021-05-04 10:45:43	ga_ls8c_ard_3-2-0_105067_2021-05-04_final
2021-05-04 10:46:07	ga_ls8c_ard_3-2-0_105068_2021-05-04_final
2021-05-04 10:46:31	ga_ls8c_ard_3-2-0_105069_2021-05-04_final
2021-05-04 10:46:55	ga_ls8c_ard_3-2-0_105070_2021-05-04_final
2021-05-04 10:47:19	ga_ls8c_ard_3-2-0_105071_2021-05-04_final
2021-05-04 10:47:43	ga_ls8c_ard_3-2-0_105072_2021-05-04_final
2021-05-04 10:48:07	ga_ls8c_ard_3-2-0_105073_2021-05-04_final
2021-05-06 10:37:20	ga_ls8c_ard_3-2-0_103077_2021-05-06_final
2021-05-06 10:38:07	ga_ls8c_ard_3-2-0_103079_2021-05-06_final
2021-05-06 10:38:31	ga_ls8c_ard_3-2-0_103080_2021-05-06_final
2021-05-15 10:32:50	ga_ls8c_ard_3-2-0_102081_2021-05-15_final
2021-05-15 10:33:14	ga_ls8c_ard_3-2-0_102082_2021-05-15_final
2021-05-15 10:33:38	ga_ls8c_ard_3-2-0_102083_2021-05-15_final
2021-05-20 10:45:51	ga_ls8c_ard_3-2-0_105067_2021-05-20_final
2021-05-20 10:46:15	ga_ls8c_ard_3-2-0_105068_2021-05-20_final
2021-05-20 10:46:39	ga_ls8c_ard_3-2-0_105069_2021-05-20_final
2021-05-20 10:47:03	ga_ls8c_ard_3-2-0_105070_2021-05-20_final
2021-05-20 10:47:27	ga_ls8c_ard_3-2-0_105071_2021-05-20_final
2021-05-20 10:47:50	ga_ls8c_ard_3-2-0_105072_2021-05-20_final
2021-05-20 10:48:14	ga_ls8c_ard_3-2-0_105073_2021-05-20_final
2021-05-24 10:27:57	ga_ls8c_ard_3-2-0_101084_2021-05-24_final
2021-05-27 10:52:06	ga_ls8c_ard_3-2-0_106067_2021-05-27_final
2021-05-27 10:52:30	ga_ls8c_ard_3-2-0_106068_2021-05-27_final
2021-05-29 10:41:45	ga_ls8c_ard_3-2-0_104072_2021-05-29_final
2021-05-29 10:42:09	ga_ls8c_ard_3-2-0_104073_2021-05-29_final
2021-05-29 10:42:33	ga_ls8c_ard_3-2-0_104074_2021-05-29_final
2021-05-29 10:42:56	ga_ls8c_ard_3-2-0_104075_2021-05-29_final
2021-05-29 10:43:20	ga_ls8c_ard_3-2-0_104076_2021-05-29_final
2021-05-29 10:43:44	ga_ls8c_ard_3-2-0_104077_2021-05-29_final
2021-05-29 10:44:08	ga_ls8c_ard_3-2-0_104078_2021-05-29_final
2021-05-31 10:32:59	ga_ls8c_ard_3-2-0_102081_2021-05-31_final
2021-05-31 10:33:23	ga_ls8c_ard_3-2-0_102082_2021-05-31_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