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
2016-05-27 11:07:35	ga_ls8c_ard_3-0-0_108075_2016-05-27_final
2016-05-27 11:07:59	ga_ls8c_ard_3-0-0_108076_2016-05-27_final
2016-05-27 11:08:23	ga_ls8c_ard_3-0-0_108077_2016-05-27_final
2016-05-27 11:08:47	ga_ls8c_ard_3-0-0_108078_2016-05-27_final
2016-05-27 11:09:11	ga_ls8c_ard_3-0-0_108079_2016-05-27_final
2016-05-27 11:09:35	ga_ls8c_ard_3-0-0_108080_2016-05-27_final
2016-05-27 11:09:58	ga_ls8c_ard_3-0-0_108081_2016-05-27_final
2016-05-29 10:58:25	ga_ls8c_ard_3-0-0_106083_2016-05-29_final
2016-05-29 10:58:49	ga_ls8c_ard_3-0-0_106084_2016-05-29_final
2016-06-05 11:03:02	ga_ls8c_ard_3-0-0_107079_2016-06-05_final
2016-06-05 11:03:26	ga_ls8c_ard_3-0-0_107080_2016-06-05_final
2016-06-05 11:03:50	ga_ls8c_ard_3-0-0_107081_2016-06-05_final
2016-06-05 11:04:14	ga_ls8c_ard_3-1-0_107082_2016-06-05_final
2016-06-05 11:04:38	ga_ls8c_ard_3-0-0_107083_2016-06-05_final
2016-06-05 11:05:02	ga_ls8c_ard_3-0-0_107084_2016-06-05_final
2016-06-05 11:05:26	ga_ls8c_ard_3-0-0_107085_2016-06-05_final
2016-06-12 11:07:38	ga_ls8c_ard_3-0-0_108075_2016-06-12_final
2016-06-12 11:08:02	ga_ls8c_ard_3-0-0_108076_2016-06-12_final
2016-06-12 11:08:26	ga_ls8c_ard_3-0-0_108077_2016-06-12_final
2016-06-12 11:08:50	ga_ls8c_ard_3-0-0_108078_2016-06-12_final
2016-06-12 11:09:14	ga_ls8c_ard_3-0-0_108079_2016-06-12_final
2016-06-12 11:09:38	ga_ls8c_ard_3-0-0_108080_2016-06-12_final
2016-06-12 11:10:02	ga_ls8c_ard_3-0-0_108081_2016-06-12_final
2016-06-14 10:58:28	ga_ls8c_ard_3-0-0_106083_2016-06-14_final
2016-06-14 10:58:52	ga_ls8c_ard_3-0-0_106084_2016-06-14_final
2016-07-07 11:03:15	ga_ls8c_ard_3-0-0_107079_2016-07-07_final
2016-07-07 11:03:39	ga_ls8c_ard_3-0-0_107080_2016-07-07_final
2016-07-07 11:04:03	ga_ls8c_ard_3-0-0_107081_2016-07-07_final
2016-07-07 11:04:27	ga_ls8c_ard_3-1-0_107082_2016-07-07_final
2016-07-07 11:04:51	ga_ls8c_ard_3-0-0_107083_2016-07-07_final
2016-07-07 11:05:15	ga_ls8c_ard_3-0-0_107084_2016-07-07_final
2016-07-07 11:05:39	ga_ls8c_ard_3-0-0_107085_2016-07-07_final
2016-08-08 11:03:47	ga_ls8c_ard_3-0-0_107080_2016-08-08_final
2016-08-08 11:04:11	ga_ls8c_ard_3-0-0_107081_2016-08-08_final
2016-08-08 11:04:35	ga_ls8c_ard_3-1-0_107082_2016-08-08_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
2016-08-20 11:23:24	ga_ls8c_ard_3-0-0_111067_2016-08-20_final
2016-08-22 11:12:39	ga_ls8c_ard_3-0-0_109071_2016-08-22_final
2016-08-22 11:13:03	ga_ls8c_ard_3-0-0_109072_2016-08-22_final
2016-08-22 11:13:27	ga_ls8c_ard_3-0-0_109073_2016-08-22_final
2016-08-22 11:13:51	ga_ls8c_ard_3-0-0_109074_2016-08-22_final
2016-08-22 11:14:15	ga_ls8c_ard_3-0-0_109075_2016-08-22_final
2016-08-22 11:14:39	ga_ls8c_ard_3-0-0_109076_2016-08-22_final
2016-09-07 11:12:44	ga_ls8c_ard_3-0-0_109071_2016-09-07_final
2016-09-07 11:13:08	ga_ls8c_ard_3-0-0_109072_2016-09-07_final
2016-09-07 11:13:32	ga_ls8c_ard_3-0-0_109073_2016-09-07_final
2016-09-07 11:13:56	ga_ls8c_ard_3-0-0_109074_2016-09-07_final
2016-09-07 11:14:20	ga_ls8c_ard_3-0-0_109075_2016-09-07_final
2016-09-07 11:14:44	ga_ls8c_ard_3-0-0_109076_2016-09-07_final
2016-09-21 11:23:32	ga_ls8c_ard_3-0-0_111067_2016-09-21_final
2016-09-23 11:12:46	ga_ls8c_ard_3-0-0_109071_2016-09-23_final
2016-09-23 11:13:10	ga_ls8c_ard_3-0-0_109072_2016-09-23_final
2016-09-23 11:13:34	ga_ls8c_ard_3-0-0_109073_2016-09-23_final
2016-09-23 11:13:58	ga_ls8c_ard_3-0-0_109074_2016-09-23_final
2016-09-23 11:14:21	ga_ls8c_ard_3-0-0_109075_2016-09-23_final
2016-09-23 11:14:45	ga_ls8c_ard_3-0-0_109076_2016-09-23_final
2016-10-04 10:59:02	ga_ls8c_ard_3-0-0_106083_2016-10-04_final
2016-10-04 10:59:26	ga_ls8c_ard_3-0-0_106084_2016-10-04_final
2016-10-07 11:23:35	ga_ls8c_ard_3-0-0_111067_2016-10-07_final
2016-10-09 11:12:49	ga_ls8c_ard_3-0-0_109071_2016-10-09_final
2016-10-09 11:13:13	ga_ls8c_ard_3-0-0_109072_2016-10-09_final
2016-10-09 11:13:37	ga_ls8c_ard_3-0-0_109073_2016-10-09_final
2016-10-09 11:14:01	ga_ls8c_ard_3-0-0_109074_2016-10-09_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
2018-11-09 11:07:52	ga_ls8c_ard_3-0-0_108075_2018-11-09_final
2018-11-09 11:08:16	ga_ls8c_ard_3-0-0_108076_2018-11-09_final
2018-11-09 11:08:40	ga_ls8c_ard_3-0-0_108077_2018-11-09_final
2018-11-09 11:09:04	ga_ls8c_ard_3-0-0_108078_2018-11-09_final
2018-11-09 11:09:28	ga_ls8c_ard_3-0-0_108079_2018-11-09_final
2018-11-09 11:09:52	ga_ls8c_ard_3-0-0_108080_2018-11-09_final
2018-11-09 11:10:16	ga_ls8c_ard_3-0-0_108081_2018-11-09_final
2018-11-11 10:58:43	ga_ls8c_ard_3-0-0_106083_2018-11-11_final
2018-11-11 10:59:07	ga_ls8c_ard_3-0-0_106084_2018-11-11_final
2019-01-14 10:58:37	ga_ls8c_ard_3-0-0_106083_2019-01-14_final
2019-01-14 10:59:01	ga_ls8c_ard_3-0-0_106084_2019-01-14_final
2020-03-17 11:16:57	ga_ls8c_ard_3-1-0_110067_2020-03-17_final
2020-03-17 11:17:21	ga_ls8c_ard_3-1-0_110068_2020-03-17_final
2020-03-17 11:17:45	ga_ls8c_ard_3-1-0_110069_2020-03-17_final
2020-03-17 11:18:09	ga_ls8c_ard_3-1-0_110070_2020-03-17_final
2020-03-17 11:18:33	ga_ls8c_ard_3-1-0_110071_2020-03-17_final
2020-03-17 11:18:57	ga_ls8c_ard_3-1-0_110072_2020-03-17_final
2020-03-24 11:23:04	ga_ls8c_ard_3-1-0_111067_2020-03-24_final
2020-03-26 11:12:17	ga_ls8c_ard_3-1-0_109071_2020-03-26_final
2020-03-26 11:12:41	ga_ls8c_ard_3-1-0_109072_2020-03-26_final
2020-03-26 11:13:05	ga_ls8c_ard_3-1-0_109073_2020-03-26_final
2020-03-26 11:13:29	ga_ls8c_ard_3-1-0_109074_2020-03-26_final
2020-03-26 11:13:53	ga_ls8c_ard_3-1-0_109075_2020-03-26_final
2020-03-26 11:14:17	ga_ls8c_ard_3-1-0_109076_2020-03-26_final
2020-05-04 11:16:33	ga_ls8c_ard_3-1-0_110067_2020-05-04_final
2020-05-04 11:16:57	ga_ls8c_ard_3-1-0_110068_2020-05-04_final
2020-05-04 11:17:21	ga_ls8c_ard_3-1-0_110069_2020-05-04_final
2020-05-04 11:17:45	ga_ls8c_ard_3-1-0_110070_2020-05-04_final
2020-05-04 11:18:09	ga_ls8c_ard_3-1-0_110071_2020-05-04_final
2020-05-20 11:16:33	ga_ls8c_ard_3-1-0_110067_2020-05-20_final
2020-05-20 11:16:57	ga_ls8c_ard_3-1-0_110068_2020-05-20_final
2020-05-20 11:17:21	ga_ls8c_ard_3-1-0_110069_2020-05-20_final
2020-05-20 11:17:45	ga_ls8c_ard_3-1-0_110070_2020-05-20_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