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
2016-11-26 11:11:16	ga_ls8c_ard_3-0-0_109067_2016-11-26_final
2016-11-26 11:11:40	ga_ls8c_ard_3-0-0_109068_2016-11-26_final
2016-11-26 11:12:04	ga_ls8c_ard_3-0-0_109069_2016-11-26_final
2016-12-30 11:01:12	ga_ls8c_ard_3-0-0_107073_2016-12-30_final
2016-12-30 11:01:36	ga_ls8c_ard_3-0-0_107074_2016-12-30_final
2016-12-30 11:02:00	ga_ls8c_ard_3-0-0_107075_2016-12-30_final
2016-12-30 11:02:24	ga_ls8c_ard_3-0-0_107076_2016-12-30_final
2016-12-30 11:02:47	ga_ls8c_ard_3-0-0_107077_2016-12-30_final
2016-12-30 11:03:11	ga_ls8c_ard_3-0-0_107078_2016-12-30_final
2016-12-30 11:03:35	ga_ls8c_ard_3-0-0_107079_2016-12-30_final
2017-01-08 10:56:58	ga_ls8c_ard_3-0-0_106078_2017-01-08_final
2017-01-08 10:57:22	ga_ls8c_ard_3-0-0_106079_2017-01-08_final
2017-01-08 10:57:46	ga_ls8c_ard_3-0-0_106080_2017-01-08_final
2017-01-08 10:58:10	ga_ls8c_ard_3-0-0_106081_2017-01-08_final
2017-01-08 10:58:34	ga_ls8c_ard_3-0-0_106082_2017-01-08_final
2017-01-08 10:58:58	ga_ls8c_ard_3-0-0_106083_2017-01-08_final
2017-01-24 10:56:53	ga_ls8c_ard_3-0-0_106078_2017-01-24_final
2017-01-24 10:57:17	ga_ls8c_ard_3-0-0_106079_2017-01-24_final
2017-01-24 10:57:41	ga_ls8c_ard_3-0-0_106080_2017-01-24_final
2017-01-24 10:58:05	ga_ls8c_ard_3-0-0_106081_2017-01-24_final
2017-01-24 10:58:29	ga_ls8c_ard_3-0-0_106082_2017-01-24_final
2017-01-24 10:58:53	ga_ls8c_ard_3-0-0_106083_2017-01-24_final
2017-01-31 11:01:01	ga_ls8c_ard_3-0-0_107073_2017-01-31_final
2017-01-31 11:01:25	ga_ls8c_ard_3-0-0_107074_2017-01-31_final
2017-01-31 11:01:49	ga_ls8c_ard_3-0-0_107075_2017-01-31_final
2017-01-31 11:02:13	ga_ls8c_ard_3-0-0_107076_2017-01-31_final
2017-01-31 11:02:37	ga_ls8c_ard_3-0-0_107077_2017-01-31_final
2017-01-31 11:03:01	ga_ls8c_ard_3-0-0_107078_2017-01-31_final
2017-01-31 11:03:25	ga_ls8c_ard_3-0-0_107079_2017-01-31_final
2017-02-07 11:05:08	ga_ls8c_ard_3-0-0_108068_2017-02-07_final
2017-02-07 11:05:32	ga_ls8c_ard_3-0-0_108069_2017-02-07_final
2017-02-07 11:05:56	ga_ls8c_ard_3-0-0_108070_2017-02-07_final
2017-02-09 10:56:45	ga_ls8c_ard_3-0-0_106078_2017-02-09_final
2017-02-09 10:57:09	ga_ls8c_ard_3-0-0_106079_2017-02-09_final
2017-02-09 10:57:33	ga_ls8c_ard_3-0-0_106080_2017-02-09_final
2017-02-09 10:57:57	ga_ls8c_ard_3-0-0_106081_2017-02-09_final
2017-02-09 10:58:20	ga_ls8c_ard_3-0-0_106082_2017-02-09_final
2017-02-09 10:58:44	ga_ls8c_ard_3-0-0_106083_2017-02-09_final
2017-02-14 11:10:52	ga_ls8c_ard_3-0-0_109067_2017-02-14_final
2017-02-14 11:11:16	ga_ls8c_ard_3-0-0_109068_2017-02-14_final
2017-02-14 11:11:40	ga_ls8c_ard_3-0-0_109069_2017-02-14_final
2017-02-16 11:00:54	ga_ls8c_ard_3-0-0_107073_2017-02-16_final
2017-02-16 11:01:18	ga_ls8c_ard_3-0-0_107074_2017-02-16_final
2017-02-16 11:01:42	ga_ls8c_ard_3-0-0_107075_2017-02-16_final
2017-02-16 11:02:06	ga_ls8c_ard_3-0-0_107076_2017-02-16_final
2017-02-16 11:02:30	ga_ls8c_ard_3-0-0_107077_2017-02-16_final
2017-02-16 11:02:54	ga_ls8c_ard_3-0-0_107078_2017-02-16_final
2017-02-16 11:03:18	ga_ls8c_ard_3-0-0_107079_2017-02-16_final
2017-03-02 11:10:47	ga_ls8c_ard_3-0-0_109067_2017-03-02_final
2017-03-02 11:11:11	ga_ls8c_ard_3-0-0_109068_2017-03-02_final
2017-03-02 11:11:35	ga_ls8c_ard_3-0-0_109069_2017-03-02_final
2017-03-04 11:00:48	ga_ls8c_ard_3-0-0_107073_2017-03-04_final
2017-03-04 11:01:12	ga_ls8c_ard_3-0-0_107074_2017-03-04_final
2017-03-04 11:01:36	ga_ls8c_ard_3-0-0_107075_2017-03-04_final
2017-03-04 11:02:00	ga_ls8c_ard_3-0-0_107076_2017-03-04_final
2017-03-04 11:02:23	ga_ls8c_ard_3-0-0_107077_2017-03-04_final
2017-03-04 11:02:47	ga_ls8c_ard_3-0-0_107078_2017-03-04_final
2017-03-04 11:03:11	ga_ls8c_ard_3-0-0_107079_2017-03-04_final
2017-03-13 10:56:31	ga_ls8c_ard_3-0-0_106078_2017-03-13_final
2017-03-13 10:56:55	ga_ls8c_ard_3-0-0_106079_2017-03-13_final
2017-03-13 10:57:19	ga_ls8c_ard_3-0-0_106080_2017-03-13_final
2017-03-13 10:57:43	ga_ls8c_ard_3-0-0_106081_2017-03-13_final
2017-03-13 10:58:07	ga_ls8c_ard_3-0-0_106082_2017-03-13_final
2017-03-13 10:58:31	ga_ls8c_ard_3-0-0_106083_2017-03-13_final
2018-09-17 10:51:49	ga_ls8c_ard_3-0-0_105082_2018-09-17_final
2018-09-17 10:52:13	ga_ls8c_ard_3-0-0_105083_2018-09-17_final
2019-01-07 10:52:03	ga_ls8c_ard_3-0-0_105082_2019-01-07_final
2019-01-07 10:52:27	ga_ls8c_ard_3-0-0_105083_2019-01-07_final
2024-02-22 10:52:15	ga_ls8c_ard_3-2-1_105082_2024-02-22_final
2024-02-22 10:52:39	ga_ls8c_ard_3-2-1_105083_2024-02-22_final
2024-02-27 11:05:34	ga_ls8c_ard_3-2-1_108069_2024-02-27_final
2024-02-27 11:05:58	ga_ls8c_ard_3-2-1_108070_2024-02-27_final
2024-02-27 11:06:22	ga_ls8c_ard_3-2-1_108071_2024-02-27_final
2024-02-27 11:06:46	ga_ls8c_ard_3-2-1_108072_2024-02-27_final
2024-02-27 11:07:09	ga_ls8c_ard_3-2-1_108073_2024-02-27_final
2024-02-27 11:07:33	ga_ls8c_ard_3-2-1_108074_2024-02-27_final
2024-03-07 11:00:50	ga_ls8c_ard_3-2-1_107073_2024-03-07_final
2024-03-07 11:01:14	ga_ls8c_ard_3-2-1_107074_2024-03-07_final
2024-03-07 11:01:37	ga_ls8c_ard_3-2-1_107075_2024-03-07_final
2024-03-07 11:02:01	ga_ls8c_ard_3-2-1_107076_2024-03-07_final
2024-03-07 11:02:25	ga_ls8c_ard_3-2-1_107077_2024-03-07_final
2024-03-07 11:02:49	ga_ls8c_ard_3-2-1_107078_2024-03-07_final
2024-03-07 11:03:13	ga_ls8c_ard_3-2-1_107079_2024-03-07_final
2024-03-09 10:52:03	ga_ls8c_ard_3-2-1_105082_2024-03-09_final
2024-03-09 10:52:27	ga_ls8c_ard_3-2-1_105083_2024-03-09_final
2024-03-16 10:56:12	ga_ls8c_ard_3-2-1_106077_2024-03-16_final
2024-04-08 11:00:34	ga_ls8c_ard_3-2-1_107073_2024-04-08_final
2024-04-08 11:00:58	ga_ls8c_ard_3-2-1_107074_2024-04-08_final
2024-04-08 11:01:22	ga_ls8c_ard_3-2-1_107075_2024-04-08_final
2024-04-08 11:01:46	ga_ls8c_ard_3-2-1_107076_2024-04-08_final
2024-04-08 11:02:10	ga_ls8c_ard_3-2-1_107077_2024-04-08_final
2024-04-08 11:02:34	ga_ls8c_ard_3-2-1_107078_2024-04-08_final
2024-04-08 11:02:57	ga_ls8c_ard_3-2-1_107079_2024-04-08_final
2024-04-10 10:51:47	ga_ls8c_ard_3-2-1_105082_2024-04-10_nrt
2024-04-10 10:52:11	ga_ls8c_ard_3-2-1_105083_2024-04-10_nrt
2024-04-15 11:05:05	ga_ls8c_ard_3-2-1_108069_2024-04-15_final
2024-04-15 11:05:29	ga_ls8c_ard_3-2-1_108070_2024-04-15_final
2024-04-15 11:05:53	ga_ls8c_ard_3-2-1_108071_2024-04-15_nrt
2024-04-15 11:06:17	ga_ls8c_ard_3-2-1_108072_2024-04-15_nrt
2024-04-15 11:06:41	ga_ls8c_ard_3-2-1_108073_2024-04-15_nrt

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