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
2014-10-08 10:46:48	ga_ls8c_ard_3-0-0_105068_2014-10-08_final
2014-10-08 10:47:12	ga_ls8c_ard_3-0-0_105069_2014-10-08_final
2014-10-08 10:47:36	ga_ls8c_ard_3-0-0_105070_2014-10-08_final
2014-10-08 10:48:00	ga_ls8c_ard_3-0-0_105071_2014-10-08_final
2014-10-08 10:48:24	ga_ls8c_ard_3-0-0_105072_2014-10-08_final
2014-10-10 10:37:14	ga_ls8c_ard_3-0-0_103075_2014-10-10_final
2014-10-10 10:37:38	ga_ls8c_ard_3-0-0_103076_2014-10-10_final
2014-10-10 10:38:02	ga_ls8c_ard_3-0-0_103077_2014-10-10_final
2014-10-10 10:38:26	ga_ls8c_ard_3-0-0_103078_2014-10-10_final
2014-10-10 10:38:50	ga_ls8c_ard_3-1-0_103079_2014-10-10_final
2014-10-10 10:39:14	ga_ls8c_ard_3-0-0_103080_2014-10-10_final
2014-10-10 10:39:38	ga_ls8c_ard_3-0-0_103081_2014-10-10_final
2014-12-13 10:37:31	ga_ls8c_ard_3-0-0_103076_2014-12-13_final
2014-12-13 10:37:55	ga_ls8c_ard_3-0-0_103077_2014-12-13_final
2014-12-13 10:38:19	ga_ls8c_ard_3-0-0_103078_2014-12-13_final
2014-12-13 10:38:43	ga_ls8c_ard_3-0-0_103079_2014-12-13_final
2014-12-13 10:39:07	ga_ls8c_ard_3-0-0_103080_2014-12-13_final
2014-12-13 10:39:31	ga_ls8c_ard_3-0-0_103081_2014-12-13_final
2014-12-18 10:52:31	ga_ls8c_ard_3-0-0_106067_2014-12-18_final
2016-10-31 10:37:23	ga_ls8c_ard_3-0-0_103075_2016-10-31_final
2016-10-31 10:37:47	ga_ls8c_ard_3-0-0_103076_2016-10-31_final
2016-10-31 10:38:11	ga_ls8c_ard_3-0-0_103077_2016-10-31_final
2016-10-31 10:38:35	ga_ls8c_ard_3-0-0_103078_2016-10-31_final
2016-10-31 10:38:59	ga_ls8c_ard_3-0-0_103079_2016-10-31_final
2016-10-31 10:39:23	ga_ls8c_ard_3-0-0_103080_2016-10-31_final
2016-10-31 10:39:47	ga_ls8c_ard_3-0-0_103081_2016-10-31_final
2016-12-02 10:37:22	ga_ls8c_ard_3-0-0_103075_2016-12-02_final
2016-12-02 10:37:46	ga_ls8c_ard_3-0-0_103076_2016-12-02_final
2016-12-02 10:38:10	ga_ls8c_ard_3-0-0_103077_2016-12-02_final
2017-02-02 10:46:15	ga_ls8c_ard_3-0-0_105067_2017-02-02_final
2017-02-02 10:46:39	ga_ls8c_ard_3-0-0_105068_2017-02-02_final
2017-02-02 10:47:03	ga_ls8c_ard_3-0-0_105069_2017-02-02_final
2017-02-02 10:47:26	ga_ls8c_ard_3-0-0_105070_2017-02-02_final
2017-02-02 10:47:50	ga_ls8c_ard_3-0-0_105071_2017-02-02_final
2017-02-02 10:48:14	ga_ls8c_ard_3-0-0_105072_2017-02-02_final
2017-02-04 10:37:03	ga_ls8c_ard_3-0-0_103075_2017-02-04_final
2017-02-04 10:37:27	ga_ls8c_ard_3-0-0_103076_2017-02-04_final
2017-02-04 10:37:51	ga_ls8c_ard_3-0-0_103077_2017-02-04_final
2017-02-04 10:38:15	ga_ls8c_ard_3-0-0_103078_2017-02-04_final
2017-02-04 10:38:39	ga_ls8c_ard_3-0-0_103079_2017-02-04_final
2017-02-04 10:39:03	ga_ls8c_ard_3-0-0_103080_2017-02-04_final
2017-02-04 10:39:27	ga_ls8c_ard_3-0-0_103081_2017-02-04_final
2017-03-06 10:46:01	ga_ls8c_ard_3-0-0_105067_2017-03-06_final
2017-03-06 10:46:25	ga_ls8c_ard_3-0-0_105068_2017-03-06_final
2017-03-06 10:46:49	ga_ls8c_ard_3-0-0_105069_2017-03-06_final
2017-03-06 10:47:13	ga_ls8c_ard_3-0-0_105070_2017-03-06_final
2017-03-06 10:47:37	ga_ls8c_ard_3-0-0_105071_2017-03-06_final
2017-03-06 10:48:01	ga_ls8c_ard_3-0-0_105072_2017-03-06_final
2020-06-02 10:45:43	ga_ls8c_ard_3-1-0_105067_2020-06-02_final
2020-06-02 10:46:07	ga_ls8c_ard_3-1-0_105068_2020-06-02_final
2020-06-02 10:46:31	ga_ls8c_ard_3-1-0_105069_2020-06-02_final
2020-06-02 10:46:55	ga_ls8c_ard_3-1-0_105070_2020-06-02_final
2020-06-02 10:47:19	ga_ls8c_ard_3-1-0_105071_2020-06-02_final
2020-06-02 10:47:43	ga_ls8c_ard_3-1-0_105072_2020-06-02_final
2020-06-18 10:45:53	ga_ls8c_ard_3-1-0_105067_2020-06-18_final
2020-06-18 10:46:17	ga_ls8c_ard_3-1-0_105068_2020-06-18_final
2020-06-18 10:46:41	ga_ls8c_ard_3-1-0_105069_2020-06-18_final
2020-06-18 10:47:05	ga_ls8c_ard_3-1-0_105070_2020-06-18_final
2020-06-18 10:47:29	ga_ls8c_ard_3-1-0_105071_2020-06-18_final
2020-06-18 10:47:53	ga_ls8c_ard_3-1-0_105072_2020-06-18_final
2020-07-24 10:28:11	ga_ls8c_ard_3-1-0_101084_2020-07-24_final
2021-12-07 10:41:59	ga_ls8c_ard_3-2-1_104071_2021-12-07_final
2021-12-07 10:42:23	ga_ls8c_ard_3-2-1_104072_2021-12-07_final
2021-12-07 10:42:47	ga_ls8c_ard_3-2-1_104073_2021-12-07_final
2021-12-07 10:43:11	ga_ls8c_ard_3-2-1_104074_2021-12-07_final
2021-12-07 10:43:35	ga_ls8c_ard_3-2-1_104075_2021-12-07_final
2021-12-07 10:43:59	ga_ls8c_ard_3-2-1_104076_2021-12-07_final
2021-12-14 10:46:33	ga_ls8c_ard_3-2-1_105067_2021-12-14_final
2021-12-14 10:46:57	ga_ls8c_ard_3-2-1_105068_2021-12-14_final
2021-12-14 10:47:21	ga_ls8c_ard_3-2-1_105069_2021-12-14_final
2021-12-14 10:47:45	ga_ls8c_ard_3-2-1_105070_2021-12-14_final
2021-12-14 10:48:09	ga_ls8c_ard_3-2-1_105071_2021-12-14_final
2021-12-14 10:48:33	ga_ls8c_ard_3-2-1_105072_2021-12-14_final
2021-12-16 10:37:23	ga_ls8c_ard_3-2-1_103075_2021-12-16_final
2021-12-16 10:37:47	ga_ls8c_ard_3-2-1_103076_2021-12-16_final
2021-12-16 10:38:11	ga_ls8c_ard_3-2-1_103077_2021-12-16_final
2021-12-16 10:38:35	ga_ls8c_ard_3-2-1_103078_2021-12-16_final
2021-12-16 10:38:59	ga_ls8c_ard_3-2-1_103079_2021-12-16_final
2021-12-16 10:39:23	ga_ls8c_ard_3-2-1_103080_2021-12-16_final
2021-12-16 10:39:47	ga_ls8c_ard_3-2-1_103081_2021-12-16_final
2021-12-23 10:41:56	ga_ls8c_ard_3-2-1_104071_2021-12-23_final
2021-12-23 10:42:20	ga_ls8c_ard_3-2-1_104072_2021-12-23_final
2021-12-23 10:42:44	ga_ls8c_ard_3-2-1_104073_2021-12-23_final
2021-12-23 10:43:08	ga_ls8c_ard_3-2-1_104074_2021-12-23_final
2021-12-23 10:43:32	ga_ls8c_ard_3-2-1_104075_2021-12-23_final
2021-12-23 10:43:56	ga_ls8c_ard_3-2-1_104076_2021-12-23_final
2021-12-25 10:33:09	ga_ls8c_ard_3-2-1_102080_2021-12-25_final
2021-12-25 10:33:33	ga_ls8c_ard_3-2-1_102081_2021-12-25_final
2021-12-25 10:33:57	ga_ls8c_ard_3-2-1_102082_2021-12-25_final
2021-12-30 10:46:28	ga_ls8c_ard_3-2-1_105067_2021-12-30_final
2021-12-30 10:46:52	ga_ls8c_ard_3-2-1_105068_2021-12-30_final
2021-12-30 10:47:16	ga_ls8c_ard_3-2-1_105069_2021-12-30_final
2021-12-30 10:47:40	ga_ls8c_ard_3-2-1_105070_2021-12-30_final
2021-12-30 10:48:03	ga_ls8c_ard_3-2-1_105071_2021-12-30_final
2021-12-30 10:48:27	ga_ls8c_ard_3-2-1_105072_2021-12-30_final
2022-01-01 10:37:41	ga_ls8c_ard_3-2-1_103076_2022-01-01_final
2022-01-01 10:38:05	ga_ls8c_ard_3-2-1_103077_2022-01-01_final
2022-01-01 10:38:29	ga_ls8c_ard_3-2-1_103078_2022-01-01_final
2022-01-01 10:38:53	ga_ls8c_ard_3-2-1_103079_2022-01-01_final
2022-01-01 10:39:17	ga_ls8c_ard_3-2-1_103080_2022-01-01_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