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
2014-07-20 10:49:17	ga_ls8c_ard_3-0-0_105075_2014-07-20_final
2014-07-20 10:49:41	ga_ls8c_ard_3-0-0_105076_2014-07-20_final
2014-07-20 10:50:05	ga_ls8c_ard_3-0-0_105077_2014-07-20_final
2014-07-20 10:50:28	ga_ls8c_ard_3-0-0_105078_2014-07-20_final
2014-07-20 10:50:52	ga_ls8c_ard_3-0-0_105079_2014-07-20_final
2014-07-20 10:51:16	ga_ls8c_ard_3-0-0_105080_2014-07-20_final
2014-07-27 10:53:30	ga_ls8c_ard_3-0-0_106070_2014-07-27_final
2014-07-27 10:53:53	ga_ls8c_ard_3-0-0_106071_2014-07-27_final
2014-07-27 10:54:17	ga_ls8c_ard_3-0-0_106072_2014-07-27_final
2014-07-27 10:54:41	ga_ls8c_ard_3-0-0_106073_2014-07-27_final
2014-07-27 10:55:05	ga_ls8c_ard_3-0-0_106074_2014-07-27_final
2014-07-27 10:55:29	ga_ls8c_ard_3-0-0_106075_2014-07-27_final
2014-07-27 10:55:53	ga_ls8c_ard_3-0-0_106076_2014-07-27_final
2014-09-13 10:53:44	ga_ls8c_ard_3-0-0_106070_2014-09-13_final
2014-09-13 10:54:08	ga_ls8c_ard_3-0-0_106071_2014-09-13_final
2014-09-13 10:54:32	ga_ls8c_ard_3-0-0_106072_2014-09-13_final
2014-09-13 10:54:56	ga_ls8c_ard_3-0-0_106073_2014-09-13_final
2014-09-13 10:55:20	ga_ls8c_ard_3-0-0_106074_2014-09-13_final
2014-09-13 10:55:44	ga_ls8c_ard_3-0-0_106075_2014-09-13_final
2014-09-13 10:56:08	ga_ls8c_ard_3-0-0_106076_2014-09-13_final
2014-09-29 10:53:43	ga_ls8c_ard_3-0-0_106070_2014-09-29_final
2014-09-29 10:54:07	ga_ls8c_ard_3-0-0_106071_2014-09-29_final
2014-09-29 10:54:31	ga_ls8c_ard_3-0-0_106072_2014-09-29_final
2014-09-29 10:54:55	ga_ls8c_ard_3-0-0_106073_2014-09-29_final
2014-09-29 10:55:19	ga_ls8c_ard_3-0-0_106074_2014-09-29_final
2014-09-29 10:55:43	ga_ls8c_ard_3-0-0_106075_2014-09-29_final
2014-09-29 10:56:07	ga_ls8c_ard_3-0-0_106076_2014-09-29_final
2014-10-08 10:49:36	ga_ls8c_ard_3-0-0_105075_2014-10-08_final
2014-10-08 10:50:00	ga_ls8c_ard_3-0-0_105076_2014-10-08_final
2014-10-08 10:50:24	ga_ls8c_ard_3-0-0_105077_2014-10-08_final
2014-10-08 10:50:48	ga_ls8c_ard_3-0-0_105078_2014-10-08_final
2014-10-08 10:51:12	ga_ls8c_ard_3-0-0_105079_2014-10-08_final
2014-10-08 10:51:36	ga_ls8c_ard_3-0-0_105080_2014-10-08_final
2014-12-09 10:59:53	ga_ls8c_ard_3-0-0_107070_2014-12-09_final
2014-12-09 11:00:17	ga_ls8c_ard_3-0-0_107071_2014-12-09_final
2014-12-11 10:49:29	ga_ls8c_ard_3-0-0_105075_2014-12-11_final
2014-12-11 10:49:53	ga_ls8c_ard_3-0-0_105076_2014-12-11_final
2014-12-11 10:50:17	ga_ls8c_ard_3-0-0_105077_2014-12-11_final
2014-12-11 10:50:41	ga_ls8c_ard_3-0-0_105078_2014-12-11_final
2014-12-11 10:51:05	ga_ls8c_ard_3-0-0_105079_2014-12-11_final
2014-12-11 10:51:29	ga_ls8c_ard_3-0-0_105080_2014-12-11_final
2015-07-07 10:48:52	ga_ls8c_ard_3-0-0_105075_2015-07-07_final
2015-07-07 10:49:16	ga_ls8c_ard_3-0-0_105076_2015-07-07_final
2015-07-07 10:49:40	ga_ls8c_ard_3-0-0_105077_2015-07-07_final
2015-08-08 10:49:02	ga_ls8c_ard_3-0-0_105075_2015-08-08_final
2015-08-08 10:49:26	ga_ls8c_ard_3-0-0_105076_2015-08-08_final
2015-08-08 10:49:50	ga_ls8c_ard_3-0-0_105077_2015-08-08_final
2015-08-08 10:50:14	ga_ls8c_ard_3-0-0_105078_2015-08-08_final
2015-08-08 10:50:38	ga_ls8c_ard_3-0-0_105079_2015-08-08_final
2015-08-08 10:51:02	ga_ls8c_ard_3-0-0_105080_2015-08-08_final
2015-08-24 10:49:11	ga_ls8c_ard_3-0-0_105075_2015-08-24_final
2015-08-24 10:49:35	ga_ls8c_ard_3-0-0_105076_2015-08-24_final
2015-08-24 10:49:58	ga_ls8c_ard_3-0-0_105077_2015-08-24_final
2015-08-24 10:50:22	ga_ls8c_ard_3-0-0_105078_2015-08-24_final
2015-08-24 10:50:46	ga_ls8c_ard_3-0-0_105079_2015-08-24_final
2015-08-24 10:51:10	ga_ls8c_ard_3-0-0_105080_2015-08-24_final
2015-11-26 10:58:43	ga_ls8c_ard_3-0-0_107067_2015-11-26_final
2015-11-26 10:59:07	ga_ls8c_ard_3-0-0_107068_2015-11-26_final
2015-11-26 10:59:31	ga_ls8c_ard_3-0-0_107069_2015-11-26_final
2015-11-26 10:59:55	ga_ls8c_ard_3-0-0_107070_2015-11-26_final
2015-11-26 11:00:19	ga_ls8c_ard_3-0-0_107071_2015-11-26_final
2015-11-28 10:49:33	ga_ls8c_ard_3-0-0_105075_2015-11-28_final
2015-11-28 10:49:57	ga_ls8c_ard_3-0-0_105076_2015-11-28_final
2015-11-28 10:50:21	ga_ls8c_ard_3-0-0_105077_2015-11-28_final
2015-11-28 10:50:45	ga_ls8c_ard_3-0-0_105078_2015-11-28_final
2015-11-28 10:51:09	ga_ls8c_ard_3-1-0_105079_2015-11-28_final
2015-11-28 10:51:33	ga_ls8c_ard_3-0-0_105080_2015-11-28_final
2019-03-10 10:58:12	ga_ls8c_ard_3-1-0_107067_2019-03-10_final
2019-03-10 10:58:36	ga_ls8c_ard_3-1-0_107068_2019-03-10_final
2019-03-10 10:59:00	ga_ls8c_ard_3-1-0_107069_2019-03-10_final
2019-03-10 10:59:24	ga_ls8c_ard_3-1-0_107070_2019-03-10_final
2019-03-10 10:59:48	ga_ls8c_ard_3-1-0_107071_2019-03-10_final
2019-03-12 10:49:01	ga_ls8c_ard_3-1-0_105075_2019-03-12_final
2019-03-12 10:49:25	ga_ls8c_ard_3-1-0_105076_2019-03-12_final
2019-03-12 10:49:49	ga_ls8c_ard_3-1-0_105077_2019-03-12_final
2019-03-12 10:50:13	ga_ls8c_ard_3-1-0_105078_2019-03-12_final
2019-03-12 10:50:37	ga_ls8c_ard_3-1-0_105079_2019-03-12_final
2019-03-12 10:51:01	ga_ls8c_ard_3-1-0_105080_2019-03-12_final
2019-04-11 10:58:04	ga_ls8c_ard_3-1-0_107067_2019-04-11_final
2019-04-11 10:58:28	ga_ls8c_ard_3-1-0_107068_2019-04-11_final
2019-04-11 10:58:51	ga_ls8c_ard_3-1-0_107069_2019-04-11_final
2019-04-11 10:59:15	ga_ls8c_ard_3-1-0_107070_2019-04-11_final
2019-04-11 10:59:39	ga_ls8c_ard_3-1-0_107071_2019-04-11_final
2019-04-27 10:57:58	ga_ls8c_ard_3-0-0_107067_2019-04-27_final
2019-04-27 10:58:22	ga_ls8c_ard_3-0-0_107068_2019-04-27_final
2019-04-27 10:58:46	ga_ls8c_ard_3-0-0_107069_2019-04-27_final
2019-04-27 10:59:10	ga_ls8c_ard_3-0-0_107070_2019-04-27_final
2019-04-27 10:59:34	ga_ls8c_ard_3-0-0_107071_2019-04-27_final
2019-04-29 10:48:49	ga_ls8c_ard_3-0-0_105075_2019-04-29_final
2019-04-29 10:49:13	ga_ls8c_ard_3-0-0_105076_2019-04-29_final
2019-04-29 10:49:36	ga_ls8c_ard_3-0-0_105077_2019-04-29_final
2019-04-29 10:50:00	ga_ls8c_ard_3-0-0_105078_2019-04-29_final
2019-04-29 10:50:24	ga_ls8c_ard_3-0-0_105079_2019-04-29_final
2019-04-29 10:50:48	ga_ls8c_ard_3-0-0_105080_2019-04-29_final
2019-06-16 10:49:14	ga_ls8c_ard_3-1-0_105075_2019-06-16_final
2019-06-16 10:49:38	ga_ls8c_ard_3-1-0_105076_2019-06-16_final
2019-06-16 10:50:02	ga_ls8c_ard_3-1-0_105077_2019-06-16_final
2019-06-16 10:50:26	ga_ls8c_ard_3-1-0_105078_2019-06-16_final
2019-06-16 10:50:50	ga_ls8c_ard_3-1-0_105079_2019-06-16_final
2019-06-16 10:51:14	ga_ls8c_ard_3-1-0_105080_2019-06-16_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