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
2015-05-28 11:36:43	ga_ls8c_ard_3-0-0_113072_2015-05-28_final
2015-05-28 11:37:07	ga_ls8c_ard_3-0-0_113073_2015-05-28_final
2015-05-28 11:37:31	ga_ls8c_ard_3-0-0_113074_2015-05-28_final
2015-05-28 11:37:55	ga_ls8c_ard_3-0-0_113075_2015-05-28_final
2015-05-28 11:38:19	ga_ls8c_ard_3-0-0_113076_2015-05-28_final
2015-05-28 11:38:43	ga_ls8c_ard_3-0-0_113077_2015-05-28_final
2015-07-10 11:23:24	ga_ls8c_ard_3-0-0_110084_2015-07-10_final
2015-07-10 11:23:48	ga_ls8c_ard_3-0-0_110085_2015-07-10_final
2015-09-26 11:32:40	ga_ls8c_ard_3-0-0_112075_2015-09-26_final
2015-09-26 11:33:04	ga_ls8c_ard_3-0-0_112076_2015-09-26_final
2015-09-26 11:33:28	ga_ls8c_ard_3-0-0_112077_2015-09-26_final
2015-09-26 11:33:52	ga_ls8c_ard_3-0-0_112078_2015-09-26_final
2015-09-26 11:34:16	ga_ls8c_ard_3-0-0_112079_2015-09-26_final
2015-09-26 11:34:40	ga_ls8c_ard_3-0-0_112080_2015-09-26_final
2015-09-26 11:35:03	ga_ls8c_ard_3-0-0_112081_2015-09-26_final
2015-09-28 11:23:54	ga_ls8c_ard_3-0-0_110084_2015-09-28_final
2015-09-28 11:24:18	ga_ls8c_ard_3-0-0_110085_2015-09-28_final
2015-10-05 11:28:30	ga_ls8c_ard_3-0-0_111080_2015-10-05_final
2015-10-05 11:28:54	ga_ls8c_ard_3-0-0_111081_2015-10-05_final
2015-10-05 11:29:18	ga_ls8c_ard_3-0-0_111082_2015-10-05_final
2015-10-05 11:29:42	ga_ls8c_ard_3-0-0_111083_2015-10-05_final
2015-10-05 11:30:06	ga_ls8c_ard_3-0-0_111084_2015-10-05_final
2015-10-05 11:30:30	ga_ls8c_ard_3-0-0_111085_2015-10-05_final
2015-10-12 11:33:04	ga_ls8c_ard_3-0-0_112076_2015-10-12_final
2015-10-12 11:33:28	ga_ls8c_ard_3-0-0_112077_2015-10-12_final
2015-10-12 11:34:40	ga_ls8c_ard_3-0-0_112080_2015-10-12_final
2015-10-12 11:35:04	ga_ls8c_ard_3-0-0_112081_2015-10-12_final
2015-10-14 11:23:54	ga_ls8c_ard_3-0-0_110084_2015-10-14_final
2015-10-14 11:24:18	ga_ls8c_ard_3-0-0_110085_2015-10-14_final
2015-10-28 11:32:46	ga_ls8c_ard_3-0-0_112075_2015-10-28_final
2015-10-28 11:33:10	ga_ls8c_ard_3-0-0_112076_2015-10-28_final
2015-10-28 11:33:34	ga_ls8c_ard_3-0-0_112077_2015-10-28_final
2015-10-28 11:33:58	ga_ls8c_ard_3-0-0_112078_2015-10-28_final
2015-10-28 11:34:22	ga_ls8c_ard_3-0-0_112079_2015-10-28_final
2015-10-28 11:34:46	ga_ls8c_ard_3-0-0_112080_2015-10-28_final
2015-10-28 11:35:09	ga_ls8c_ard_3-0-0_112081_2015-10-28_final
2015-10-30 11:24:00	ga_ls8c_ard_3-0-0_110084_2015-10-30_final
2015-10-30 11:24:24	ga_ls8c_ard_3-0-0_110085_2015-10-30_final
2015-11-15 11:24:01	ga_ls8c_ard_3-0-0_110084_2015-11-15_final
2015-11-15 11:24:24	ga_ls8c_ard_3-0-0_110085_2015-11-15_final
2016-01-07 11:37:43	ga_ls8c_ard_3-0-0_113072_2016-01-07_final
2016-01-07 11:38:07	ga_ls8c_ard_3-0-0_113073_2016-01-07_final
2016-01-07 11:38:31	ga_ls8c_ard_3-0-0_113074_2016-01-07_final
2016-01-07 11:38:54	ga_ls8c_ard_3-0-0_113075_2016-01-07_final
2016-01-07 11:39:18	ga_ls8c_ard_3-0-0_113076_2016-01-07_final
2016-01-07 11:39:42	ga_ls8c_ard_3-0-0_113077_2016-01-07_final
2016-01-14 11:41:55	ga_ls8c_ard_3-0-0_114067_2016-01-14_final
2016-01-16 11:33:09	ga_ls8c_ard_3-0-0_112076_2016-01-16_final
2016-01-16 11:33:33	ga_ls8c_ard_3-0-0_112077_2016-01-16_final
2016-01-16 11:33:57	ga_ls8c_ard_3-0-0_112078_2016-01-16_final
2016-01-16 11:34:21	ga_ls8c_ard_3-0-0_112079_2016-01-16_final
2016-01-16 11:34:45	ga_ls8c_ard_3-0-0_112080_2016-01-16_final
2016-01-16 11:35:09	ga_ls8c_ard_3-0-0_112081_2016-01-16_final
2016-02-24 11:37:33	ga_ls8c_ard_3-0-0_113072_2016-02-24_final
2016-02-24 11:37:56	ga_ls8c_ard_3-0-0_113073_2016-02-24_final
2016-02-24 11:38:20	ga_ls8c_ard_3-0-0_113074_2016-02-24_final
2016-02-24 11:38:44	ga_ls8c_ard_3-0-0_113075_2016-02-24_final
2016-02-24 11:39:08	ga_ls8c_ard_3-0-0_113076_2016-02-24_final
2016-02-24 11:39:32	ga_ls8c_ard_3-0-0_113077_2016-02-24_final
2016-02-26 11:28:22	ga_ls8c_ard_3-0-0_111080_2016-02-26_final
2016-02-26 11:28:46	ga_ls8c_ard_3-0-0_111081_2016-02-26_final
2016-02-26 11:29:10	ga_ls8c_ard_3-0-0_111082_2016-02-26_final
2016-02-26 11:29:34	ga_ls8c_ard_3-0-0_111083_2016-02-26_final
2016-02-26 11:29:58	ga_ls8c_ard_3-0-0_111084_2016-02-26_final
2016-02-26 11:30:22	ga_ls8c_ard_3-0-0_111085_2016-02-26_final
2016-04-28 11:37:12	ga_ls8c_ard_3-0-0_113072_2016-04-28_final
2016-04-28 11:37:36	ga_ls8c_ard_3-0-0_113073_2016-04-28_final
2016-04-28 11:38:00	ga_ls8c_ard_3-0-0_113074_2016-04-28_final
2016-04-28 11:38:24	ga_ls8c_ard_3-0-0_113075_2016-04-28_final
2016-04-28 11:38:48	ga_ls8c_ard_3-0-0_113076_2016-04-28_final
2018-05-04 11:36:47	ga_ls8c_ard_3-0-0_113072_2018-05-04_final
2018-05-04 11:37:11	ga_ls8c_ard_3-0-0_113073_2018-05-04_final
2019-01-26 11:23:41	ga_ls8c_ard_3-0-0_110084_2019-01-26_final
2019-01-26 11:24:05	ga_ls8c_ard_3-0-0_110085_2019-01-26_final
2019-02-07 11:41:36	ga_ls8c_ard_3-0-0_114067_2019-02-07_final
2019-02-09 11:32:49	ga_ls8c_ard_3-0-0_112076_2019-02-09_final
2019-02-09 11:33:13	ga_ls8c_ard_3-0-0_112077_2019-02-09_final
2019-02-09 11:33:37	ga_ls8c_ard_3-0-0_112078_2019-02-09_final
2019-02-09 11:34:01	ga_ls8c_ard_3-0-0_112079_2019-02-09_final
2019-02-09 11:34:25	ga_ls8c_ard_3-0-0_112080_2019-02-09_final
2019-02-09 11:34:49	ga_ls8c_ard_3-0-0_112081_2019-02-09_final
2019-02-16 11:37:23	ga_ls8c_ard_3-0-0_113072_2019-02-16_final
2019-02-16 11:37:47	ga_ls8c_ard_3-0-0_113073_2019-02-16_final
2019-02-16 11:38:11	ga_ls8c_ard_3-0-0_113074_2019-02-16_final
2019-02-16 11:38:35	ga_ls8c_ard_3-0-0_113075_2019-02-16_final
2019-02-16 11:38:59	ga_ls8c_ard_3-0-0_113076_2019-02-16_final
2019-02-16 11:39:23	ga_ls8c_ard_3-0-0_113077_2019-02-16_final
2019-03-20 11:36:50	ga_ls8c_ard_3-1-0_113071_2019-03-20_final
2019-03-20 11:37:14	ga_ls8c_ard_3-1-0_113072_2019-03-20_final
2019-03-20 11:37:38	ga_ls8c_ard_3-1-0_113073_2019-03-20_final
2019-03-20 11:38:02	ga_ls8c_ard_3-1-0_113074_2019-03-20_final
2019-03-20 11:38:26	ga_ls8c_ard_3-1-0_113075_2019-03-20_final
2019-03-20 11:38:50	ga_ls8c_ard_3-1-0_113076_2019-03-20_final
2019-03-20 11:39:14	ga_ls8c_ard_3-1-0_113077_2019-03-20_final
2019-04-05 11:36:46	ga_ls8c_ard_3-1-0_113071_2019-04-05_final
2019-04-05 11:37:10	ga_ls8c_ard_3-1-0_113072_2019-04-05_final
2019-04-05 11:37:34	ga_ls8c_ard_3-1-0_113073_2019-04-05_final
2019-04-05 11:37:58	ga_ls8c_ard_3-1-0_113074_2019-04-05_final
2019-04-05 11:38:22	ga_ls8c_ard_3-1-0_113075_2019-04-05_final
2019-04-05 11:38:46	ga_ls8c_ard_3-1-0_113076_2019-04-05_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years