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
2014-10-09 11:29:40	ga_ls8c_ard_3-0-0_112067_2014-10-09_final
2014-10-11 11:18:55	ga_ls8c_ard_3-0-0_110071_2014-10-11_final
2014-10-11 11:19:19	ga_ls8c_ard_3-0-0_110072_2014-10-11_final
2014-10-11 11:19:43	ga_ls8c_ard_3-0-0_110073_2014-10-11_final
2014-10-11 11:20:07	ga_ls8c_ard_3-0-0_110074_2014-10-11_final
2014-10-11 11:20:31	ga_ls8c_ard_3-0-0_110075_2014-10-11_final
2014-10-11 11:20:55	ga_ls8c_ard_3-0-0_110076_2014-10-11_final
2014-12-14 11:18:48	ga_ls8c_ard_3-0-0_110071_2014-12-14_final
2014-12-14 11:19:12	ga_ls8c_ard_3-0-0_110072_2014-12-14_final
2014-12-14 11:19:36	ga_ls8c_ard_3-0-0_110073_2014-12-14_final
2014-12-14 11:20:00	ga_ls8c_ard_3-0-0_110074_2014-12-14_final
2014-12-14 11:20:24	ga_ls8c_ard_3-0-0_110075_2014-12-14_final
2014-12-14 11:20:48	ga_ls8c_ard_3-0-0_110076_2014-12-14_final
2014-12-16 11:09:39	ga_ls8c_ard_3-0-0_108079_2014-12-16_final
2014-12-16 11:10:03	ga_ls8c_ard_3-0-0_108080_2014-12-16_final
2014-12-16 11:10:27	ga_ls8c_ard_3-0-0_108081_2014-12-16_final
2014-12-16 11:10:51	ga_ls8c_ard_3-0-0_108082_2014-12-16_final
2014-12-16 11:11:15	ga_ls8c_ard_3-0-0_108083_2014-12-16_final
2014-12-16 11:11:39	ga_ls8c_ard_3-0-0_108084_2014-12-16_final
2015-02-27 11:04:44	ga_ls8c_ard_3-0-0_107083_2015-02-27_final
2015-02-27 11:05:08	ga_ls8c_ard_3-0-0_107084_2015-02-27_final
2015-02-27 11:05:32	ga_ls8c_ard_3-0-0_107085_2015-02-27_final
2015-06-17 11:13:25	ga_ls8c_ard_3-0-0_109075_2015-06-17_final
2015-06-17 11:13:49	ga_ls8c_ard_3-0-0_109076_2015-06-17_final
2015-06-17 11:14:13	ga_ls8c_ard_3-0-0_109077_2015-06-17_final
2015-06-17 11:14:37	ga_ls8c_ard_3-0-0_109078_2015-06-17_final
2015-06-17 11:15:01	ga_ls8c_ard_3-0-0_109079_2015-06-17_final
2015-06-17 11:15:25	ga_ls8c_ard_3-0-0_109080_2015-06-17_final
2015-06-17 11:15:49	ga_ls8c_ard_3-0-0_109081_2015-06-17_final
2015-06-19 11:04:16	ga_ls8c_ard_3-0-0_107083_2015-06-19_final
2015-06-19 11:04:40	ga_ls8c_ard_3-0-0_107084_2015-06-19_final
2015-06-19 11:05:04	ga_ls8c_ard_3-0-0_107085_2015-06-19_final
2015-09-28 11:18:43	ga_ls8c_ard_3-0-0_110071_2015-09-28_final
2015-09-28 11:19:07	ga_ls8c_ard_3-0-0_110072_2015-09-28_final
2015-09-28 11:19:31	ga_ls8c_ard_3-0-0_110073_2015-09-28_final
2015-09-28 11:19:55	ga_ls8c_ard_3-0-0_110074_2015-09-28_final
2015-09-28 11:20:19	ga_ls8c_ard_3-0-0_110075_2015-09-28_final
2015-09-28 11:20:43	ga_ls8c_ard_3-0-0_110076_2015-09-28_final
2015-09-30 11:09:33	ga_ls8c_ard_3-0-0_108079_2015-09-30_final
2015-09-30 11:09:57	ga_ls8c_ard_3-0-0_108080_2015-09-30_final
2015-09-30 11:10:21	ga_ls8c_ard_3-0-0_108081_2015-09-30_final
2015-09-30 11:10:45	ga_ls8c_ard_3-0-0_108082_2015-09-30_final
2015-09-30 11:11:09	ga_ls8c_ard_3-0-0_108083_2015-09-30_final
2015-09-30 11:11:33	ga_ls8c_ard_3-0-0_108084_2015-09-30_final
2015-09-30 11:11:57	ga_ls8c_ard_3-0-0_108085_2015-09-30_final
2015-10-09 11:04:58	ga_ls8c_ard_3-0-0_107083_2015-10-09_final
2015-10-09 11:05:22	ga_ls8c_ard_3-0-0_107084_2015-10-09_final
2015-10-09 11:05:46	ga_ls8c_ard_3-0-0_107085_2015-10-09_final
2015-10-12 11:29:29	ga_ls8c_ard_3-0-0_112067_2015-10-12_final
2015-10-21 11:23:21	ga_ls8c_ard_3-0-0_111067_2015-10-21_final
2015-10-21 11:23:45	ga_ls8c_ard_3-0-0_111068_2015-10-21_final
2015-10-21 11:24:09	ga_ls8c_ard_3-0-0_111069_2015-10-21_final
2015-10-21 11:24:33	ga_ls8c_ard_3-0-0_111070_2015-10-21_final
2015-10-21 11:24:57	ga_ls8c_ard_3-0-0_111071_2015-10-21_final
2015-10-30 11:18:49	ga_ls8c_ard_3-0-0_110071_2015-10-30_final
2015-10-30 11:19:13	ga_ls8c_ard_3-0-0_110072_2015-10-30_final
2015-10-30 11:19:37	ga_ls8c_ard_3-0-0_110073_2015-10-30_final
2015-10-30 11:20:01	ga_ls8c_ard_3-0-0_110074_2015-10-30_final
2015-10-30 11:20:25	ga_ls8c_ard_3-0-0_110075_2015-10-30_final
2015-10-30 11:20:49	ga_ls8c_ard_3-0-0_110076_2015-10-30_final
2015-11-01 11:09:39	ga_ls8c_ard_3-0-0_108079_2015-11-01_final
2015-11-01 11:10:03	ga_ls8c_ard_3-0-0_108080_2015-11-01_final
2015-11-01 11:10:27	ga_ls8c_ard_3-0-0_108081_2015-11-01_final
2015-11-01 11:10:51	ga_ls8c_ard_3-0-0_108082_2015-11-01_final
2015-11-01 11:11:15	ga_ls8c_ard_3-0-0_108083_2015-11-01_final
2015-11-01 11:11:39	ga_ls8c_ard_3-0-0_108084_2015-11-01_final
2015-11-01 11:12:03	ga_ls8c_ard_3-0-0_108085_2015-11-01_final
2016-08-06 11:14:09	ga_ls8c_ard_3-0-0_109075_2016-08-06_final
2016-08-06 11:14:33	ga_ls8c_ard_3-0-0_109076_2016-08-06_final
2016-08-06 11:14:57	ga_ls8c_ard_3-0-0_109077_2016-08-06_final
2016-08-06 11:15:21	ga_ls8c_ard_3-0-0_109078_2016-08-06_final
2016-08-06 11:15:45	ga_ls8c_ard_3-0-0_109079_2016-08-06_final
2016-08-06 11:16:09	ga_ls8c_ard_3-0-0_109080_2016-08-06_final
2016-08-06 11:16:33	ga_ls8c_ard_3-0-0_109081_2016-08-06_final
2016-08-08 11:04:59	ga_ls8c_ard_3-0-0_107083_2016-08-08_final
2016-08-08 11:05:23	ga_ls8c_ard_3-0-0_107084_2016-08-08_final
2016-08-08 11:05:47	ga_ls8c_ard_3-0-0_107085_2016-08-08_final
2016-10-09 11:14:25	ga_ls8c_ard_3-0-0_109075_2016-10-09_final
2016-10-09 11:14:49	ga_ls8c_ard_3-0-0_109076_2016-10-09_final
2016-10-09 11:15:13	ga_ls8c_ard_3-0-0_109077_2016-10-09_final
2016-10-09 11:15:37	ga_ls8c_ard_3-0-0_109078_2016-10-09_final
2016-10-09 11:16:01	ga_ls8c_ard_3-0-0_109079_2016-10-09_final
2016-10-09 11:16:25	ga_ls8c_ard_3-0-0_109080_2016-10-09_final
2016-10-09 11:16:49	ga_ls8c_ard_3-0-0_109081_2016-10-09_final
2016-10-11 11:05:16	ga_ls8c_ard_3-0-0_107083_2016-10-11_final
2016-10-11 11:05:40	ga_ls8c_ard_3-0-0_107084_2016-10-11_final
2016-10-11 11:06:04	ga_ls8c_ard_3-0-0_107085_2016-10-11_final
2020-10-04 11:14:27	ga_ls8c_ard_3-1-0_109075_2020-10-04_final
2020-10-04 11:14:51	ga_ls8c_ard_3-1-0_109076_2020-10-04_final
2020-10-04 11:15:15	ga_ls8c_ard_3-1-0_109077_2020-10-04_final
2020-10-04 11:15:38	ga_ls8c_ard_3-1-0_109078_2020-10-04_final
2020-10-04 11:16:02	ga_ls8c_ard_3-1-0_109079_2020-10-04_final
2020-10-04 11:16:26	ga_ls8c_ard_3-1-0_109080_2020-10-04_final
2020-10-04 11:16:50	ga_ls8c_ard_3-1-0_109081_2020-10-04_final
2020-10-25 11:29:48	ga_ls8c_ard_3-1-0_112067_2020-10-25_final
2022-09-01 11:10:04	ga_ls8c_ard_3-2-1_108079_2022-09-01_final
2022-09-01 11:10:28	ga_ls8c_ard_3-2-1_108080_2022-09-01_final
2022-09-01 11:10:52	ga_ls8c_ard_3-2-1_108081_2022-09-01_final
2022-09-01 11:12:04	ga_ls8c_ard_3-2-1_108084_2022-09-01_final
2022-09-26 11:05:36	ga_ls8c_ard_3-2-1_107083_2022-09-26_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