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
2014-10-07 10:05:32	ga_ls8c_ard_3-0-0_098073_2014-10-07_final
2014-10-07 10:05:56	ga_ls8c_ard_3-0-0_098074_2014-10-07_final
2014-10-07 10:06:20	ga_ls8c_ard_3-0-0_098075_2014-10-07_final
2014-10-07 10:06:44	ga_ls8c_ard_3-0-0_098076_2014-10-07_final
2014-10-07 10:07:08	ga_ls8c_ard_3-0-0_098077_2014-10-07_final
2014-10-07 10:07:32	ga_ls8c_ard_3-0-0_098078_2014-10-07_final
2014-10-07 10:07:56	ga_ls8c_ard_3-0-0_098079_2014-10-07_final
2014-10-09 09:56:46	ga_ls8c_ard_3-0-0_096082_2014-10-09_final
2014-10-09 09:57:10	ga_ls8c_ard_3-0-0_096083_2014-10-09_final
2014-10-09 09:57:34	ga_ls8c_ard_3-0-0_096084_2014-10-09_final
2014-10-09 09:57:58	ga_ls8c_ard_3-0-0_096085_2014-10-09_final
2014-10-09 09:58:22	ga_ls8c_ard_3-0-0_096086_2014-10-09_final
2014-12-17 10:10:03	ga_ls8c_ard_3-0-0_099069_2014-12-17_final
2014-12-17 10:10:27	ga_ls8c_ard_3-0-0_099070_2014-12-17_final
2014-12-17 10:10:51	ga_ls8c_ard_3-0-0_099071_2014-12-17_final
2014-12-17 10:11:14	ga_ls8c_ard_3-0-0_099072_2014-12-17_final
2014-12-17 10:11:38	ga_ls8c_ard_3-0-0_099073_2014-12-17_final
2014-12-17 10:12:02	ga_ls8c_ard_3-0-0_099074_2014-12-17_final
2015-06-18 10:14:37	ga_ls8c_ard_3-0-0_100067_2015-06-18_final
2015-06-18 10:15:01	ga_ls8c_ard_3-0-0_100068_2015-06-18_final
2015-06-18 10:15:25	ga_ls8c_ard_3-0-0_100069_2015-06-18_final
2015-06-18 10:15:49	ga_ls8c_ard_3-0-0_100070_2015-06-18_final
2017-02-03 09:56:36	ga_ls8c_ard_3-0-0_096082_2017-02-03_final
2017-02-03 09:57:00	ga_ls8c_ard_3-0-0_096083_2017-02-03_final
2017-02-03 09:57:24	ga_ls8c_ard_3-0-0_096084_2017-02-03_final
2017-02-03 09:57:48	ga_ls8c_ard_3-0-0_096085_2017-02-03_final
2017-02-03 09:58:12	ga_ls8c_ard_3-0-0_096086_2017-02-03_final
2017-03-05 10:05:34	ga_ls8c_ard_3-0-0_098074_2017-03-05_final
2017-03-05 10:05:58	ga_ls8c_ard_3-0-0_098075_2017-03-05_final
2017-03-05 10:06:22	ga_ls8c_ard_3-0-0_098076_2017-03-05_final
2017-03-05 10:06:46	ga_ls8c_ard_3-0-0_098077_2017-03-05_final
2017-03-05 10:07:10	ga_ls8c_ard_3-0-0_098078_2017-03-05_final
2017-03-05 10:07:34	ga_ls8c_ard_3-0-0_098079_2017-03-05_final
2017-03-07 09:56:23	ga_ls8c_ard_3-0-0_096082_2017-03-07_final
2017-03-07 09:56:47	ga_ls8c_ard_3-0-0_096083_2017-03-07_final
2017-03-07 09:57:11	ga_ls8c_ard_3-0-0_096084_2017-03-07_final
2017-03-07 09:57:35	ga_ls8c_ard_3-0-0_096085_2017-03-07_final
2017-03-07 09:57:58	ga_ls8c_ard_3-0-0_096086_2017-03-07_final
2017-03-07 09:58:22	ga_ls8c_ard_3-0-0_096087_2017-03-07_final
2020-06-01 10:04:50	ga_ls8c_ard_3-1-0_098073_2020-06-01_final
2020-06-01 10:05:14	ga_ls8c_ard_3-1-0_098074_2020-06-01_final
2020-06-01 10:05:38	ga_ls8c_ard_3-1-0_098075_2020-06-01_final
2020-06-01 10:06:02	ga_ls8c_ard_3-1-0_098076_2020-06-01_final
2020-06-01 10:06:26	ga_ls8c_ard_3-1-0_098077_2020-06-01_final
2020-06-01 10:06:50	ga_ls8c_ard_3-1-0_098078_2020-06-01_final
2020-06-01 10:07:14	ga_ls8c_ard_3-1-0_098079_2020-06-01_final
2020-06-03 09:56:06	ga_ls8c_ard_3-1-0_096082_2020-06-03_final
2020-06-03 09:56:30	ga_ls8c_ard_3-1-0_096083_2020-06-03_final
2020-06-03 09:56:54	ga_ls8c_ard_3-1-0_096084_2020-06-03_final
2020-06-03 09:57:18	ga_ls8c_ard_3-1-0_096085_2020-06-03_final
2020-06-03 09:57:41	ga_ls8c_ard_3-1-0_096086_2020-06-03_final
2020-06-03 09:58:05	ga_ls8c_ard_3-1-0_096087_2020-06-03_final
2020-06-19 09:56:15	ga_ls8c_ard_3-1-0_096082_2020-06-19_final
2020-06-19 09:56:39	ga_ls8c_ard_3-1-0_096083_2020-06-19_final
2020-06-19 09:57:03	ga_ls8c_ard_3-1-0_096084_2020-06-19_final
2020-06-19 09:57:27	ga_ls8c_ard_3-1-0_096085_2020-06-19_final
2020-06-19 09:57:51	ga_ls8c_ard_3-1-0_096086_2020-06-19_final
2020-06-19 09:58:15	ga_ls8c_ard_3-1-0_096087_2020-06-19_final
2020-08-02 10:15:16	ga_ls8c_ard_3-1-0_100067_2020-08-02_final
2020-08-02 10:15:40	ga_ls8c_ard_3-1-0_100068_2020-08-02_final
2020-08-02 10:16:03	ga_ls8c_ard_3-1-0_100069_2020-08-02_final
2020-08-02 10:16:27	ga_ls8c_ard_3-1-0_100070_2020-08-02_final
2021-12-06 10:01:31	ga_ls8c_ard_3-2-1_097078_2021-12-06_final
2021-12-06 10:01:55	ga_ls8c_ard_3-2-1_097079_2021-12-06_final
2021-12-06 10:02:19	ga_ls8c_ard_3-2-1_097080_2021-12-06_final
2021-12-06 10:02:43	ga_ls8c_ard_3-2-1_097081_2021-12-06_final
2021-12-06 10:03:07	ga_ls8c_ard_3-2-1_097082_2021-12-06_final
2021-12-06 10:03:31	ga_ls8c_ard_3-2-1_097083_2021-12-06_final
2021-12-08 09:52:21	ga_ls8c_ard_3-2-1_095086_2021-12-08_final
2021-12-08 09:52:45	ga_ls8c_ard_3-2-1_095087_2021-12-08_final
2021-12-13 10:05:42	ga_ls8c_ard_3-2-1_098073_2021-12-13_final
2021-12-13 10:06:05	ga_ls8c_ard_3-2-1_098074_2021-12-13_final
2021-12-13 10:06:29	ga_ls8c_ard_3-2-1_098075_2021-12-13_final
2021-12-13 10:06:53	ga_ls8c_ard_3-2-1_098076_2021-12-13_final
2021-12-13 10:07:17	ga_ls8c_ard_3-2-1_098077_2021-12-13_final
2021-12-13 10:07:41	ga_ls8c_ard_3-2-1_098078_2021-12-13_final
2021-12-13 10:08:05	ga_ls8c_ard_3-2-1_098079_2021-12-13_final
2021-12-15 09:56:55	ga_ls8c_ard_3-2-1_096082_2021-12-15_final
2021-12-15 09:57:19	ga_ls8c_ard_3-2-1_096083_2021-12-15_final
2021-12-15 09:57:43	ga_ls8c_ard_3-2-1_096084_2021-12-15_final
2021-12-15 09:58:07	ga_ls8c_ard_3-2-1_096085_2021-12-15_final
2021-12-15 09:58:31	ga_ls8c_ard_3-2-1_096086_2021-12-15_final
2021-12-20 10:10:15	ga_ls8c_ard_3-2-1_099069_2021-12-20_final
2021-12-20 10:10:39	ga_ls8c_ard_3-2-1_099070_2021-12-20_final
2021-12-20 10:11:03	ga_ls8c_ard_3-2-1_099071_2021-12-20_final
2021-12-20 10:11:27	ga_ls8c_ard_3-2-1_099072_2021-12-20_final
2021-12-20 10:11:51	ga_ls8c_ard_3-2-1_099073_2021-12-20_final
2021-12-20 10:12:15	ga_ls8c_ard_3-2-1_099074_2021-12-20_final
2021-12-22 10:01:28	ga_ls8c_ard_3-2-1_097078_2021-12-22_final
2021-12-22 10:01:52	ga_ls8c_ard_3-2-1_097079_2021-12-22_final
2021-12-22 10:02:16	ga_ls8c_ard_3-2-1_097080_2021-12-22_final
2021-12-22 10:02:40	ga_ls8c_ard_3-2-1_097081_2021-12-22_final
2021-12-22 10:03:04	ga_ls8c_ard_3-2-1_097082_2021-12-22_final
2021-12-22 10:03:28	ga_ls8c_ard_3-2-1_097083_2021-12-22_final
2021-12-24 09:52:18	ga_ls8c_ard_3-2-1_095086_2021-12-24_final
2021-12-24 09:52:41	ga_ls8c_ard_3-2-1_095087_2021-12-24_final
2021-12-31 09:56:49	ga_ls8c_ard_3-2-1_096082_2021-12-31_final
2021-12-31 09:57:13	ga_ls8c_ard_3-2-1_096083_2021-12-31_final
2021-12-31 09:57:37	ga_ls8c_ard_3-2-1_096084_2021-12-31_final
2021-12-31 09:58:01	ga_ls8c_ard_3-2-1_096085_2021-12-31_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