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
2016-02-12 11:10:54	ga_ls8c_ard_3-0-0_109067_2016-02-12_final
2016-04-27 10:55:07	ga_ls8c_ard_3-0-0_106075_2016-04-27_final
2016-04-27 10:55:31	ga_ls8c_ard_3-0-0_106076_2016-04-27_final
2016-04-27 10:55:55	ga_ls8c_ard_3-0-0_106077_2016-04-27_final
2016-04-27 10:56:19	ga_ls8c_ard_3-0-0_106078_2016-04-27_final
2016-04-27 10:56:43	ga_ls8c_ard_3-0-0_106079_2016-04-27_final
2016-04-27 10:57:07	ga_ls8c_ard_3-0-0_106080_2016-04-27_final
2016-04-27 10:57:31	ga_ls8c_ard_3-0-0_106081_2016-04-27_final
2017-09-03 11:04:52	ga_ls8c_ard_3-0-0_108067_2017-09-03_final
2017-09-03 11:05:15	ga_ls8c_ard_3-0-0_108068_2017-09-03_final
2017-09-03 11:05:39	ga_ls8c_ard_3-0-0_108069_2017-09-03_final
2017-09-03 11:06:03	ga_ls8c_ard_3-0-0_108070_2017-09-03_final
2017-09-03 11:06:27	ga_ls8c_ard_3-0-0_108071_2017-09-03_final
2017-09-03 11:06:51	ga_ls8c_ard_3-0-0_108072_2017-09-03_final
2017-09-10 11:11:03	ga_ls8c_ard_3-0-0_109067_2017-09-10_final
2017-09-12 11:00:16	ga_ls8c_ard_3-0-0_107071_2017-09-12_final
2017-09-12 11:00:40	ga_ls8c_ard_3-0-0_107072_2017-09-12_final
2017-09-12 11:01:04	ga_ls8c_ard_3-0-0_107073_2017-09-12_final
2017-09-12 11:01:28	ga_ls8c_ard_3-0-0_107074_2017-09-12_final
2017-09-12 11:01:52	ga_ls8c_ard_3-0-0_107075_2017-09-12_final
2017-09-12 11:02:16	ga_ls8c_ard_3-0-0_107076_2017-09-12_final
2017-09-19 11:04:54	ga_ls8c_ard_3-0-0_108067_2017-09-19_final
2017-09-19 11:05:18	ga_ls8c_ard_3-0-0_108068_2017-09-19_final
2017-09-19 11:05:42	ga_ls8c_ard_3-0-0_108069_2017-09-19_final
2017-09-19 11:06:06	ga_ls8c_ard_3-0-0_108070_2017-09-19_final
2017-09-19 11:06:30	ga_ls8c_ard_3-0-0_108071_2017-09-19_final
2017-09-19 11:06:53	ga_ls8c_ard_3-0-0_108072_2017-09-19_final
2017-10-05 11:05:00	ga_ls8c_ard_3-0-0_108067_2017-10-05_final
2017-10-05 11:05:24	ga_ls8c_ard_3-0-0_108068_2017-10-05_final
2017-10-05 11:05:48	ga_ls8c_ard_3-0-0_108069_2017-10-05_final
2017-10-05 11:06:12	ga_ls8c_ard_3-0-0_108070_2017-10-05_final
2017-10-05 11:06:36	ga_ls8c_ard_3-0-0_108071_2017-10-05_final
2017-10-05 11:07:00	ga_ls8c_ard_3-0-0_108072_2017-10-05_final
2017-10-23 10:55:53	ga_ls8c_ard_3-0-0_106075_2017-10-23_final
2017-10-23 10:56:17	ga_ls8c_ard_3-0-0_106076_2017-10-23_final
2017-10-23 10:56:41	ga_ls8c_ard_3-0-0_106077_2017-10-23_final
2017-10-23 10:57:05	ga_ls8c_ard_3-0-0_106078_2017-10-23_final
2017-10-23 10:57:29	ga_ls8c_ard_3-0-0_106079_2017-10-23_final
2017-10-23 10:57:53	ga_ls8c_ard_3-0-0_106080_2017-10-23_final
2017-10-23 10:58:17	ga_ls8c_ard_3-0-0_106081_2017-10-23_final
2017-11-08 10:55:52	ga_ls8c_ard_3-0-0_106075_2017-11-08_final
2017-11-08 10:56:16	ga_ls8c_ard_3-0-0_106076_2017-11-08_final
2017-11-08 10:56:40	ga_ls8c_ard_3-0-0_106077_2017-11-08_final
2017-11-08 10:57:03	ga_ls8c_ard_3-0-0_106078_2017-11-08_final
2017-11-08 10:57:27	ga_ls8c_ard_3-0-0_106079_2017-11-08_final
2017-11-08 10:57:51	ga_ls8c_ard_3-0-0_106080_2017-11-08_final
2017-11-08 10:58:15	ga_ls8c_ard_3-0-0_106081_2017-11-08_final
2017-11-24 10:55:46	ga_ls8c_ard_3-0-0_106075_2017-11-24_final
2017-11-24 10:56:10	ga_ls8c_ard_3-0-0_106076_2017-11-24_final
2017-11-24 10:56:34	ga_ls8c_ard_3-0-0_106077_2017-11-24_final
2017-11-24 10:56:58	ga_ls8c_ard_3-0-0_106078_2017-11-24_final
2017-11-24 10:57:22	ga_ls8c_ard_3-0-0_106079_2017-11-24_final
2017-11-24 10:57:46	ga_ls8c_ard_3-0-0_106080_2017-11-24_final
2017-11-24 10:58:10	ga_ls8c_ard_3-0-0_106081_2017-11-24_final
2017-12-01 11:00:19	ga_ls8c_ard_3-0-0_107071_2017-12-01_final
2017-12-01 11:00:43	ga_ls8c_ard_3-0-0_107072_2017-12-01_final
2017-12-01 11:01:07	ga_ls8c_ard_3-0-0_107073_2017-12-01_final
2017-12-01 11:01:31	ga_ls8c_ard_3-0-0_107074_2017-12-01_final
2017-12-01 11:01:54	ga_ls8c_ard_3-0-0_107075_2017-12-01_final
2017-12-01 11:02:18	ga_ls8c_ard_3-0-0_107076_2017-12-01_final
2017-12-26 10:55:46	ga_ls8c_ard_3-0-0_106075_2017-12-26_final
2017-12-26 10:56:10	ga_ls8c_ard_3-0-0_106076_2017-12-26_final
2017-12-26 10:56:34	ga_ls8c_ard_3-0-0_106077_2017-12-26_final
2017-12-26 10:56:58	ga_ls8c_ard_3-0-0_106078_2017-12-26_final
2017-12-26 10:57:22	ga_ls8c_ard_3-0-0_106079_2017-12-26_final
2017-12-26 10:57:46	ga_ls8c_ard_3-0-0_106080_2017-12-26_final
2017-12-26 10:58:10	ga_ls8c_ard_3-0-0_106081_2017-12-26_final
2020-02-18 10:55:36	ga_ls8c_ard_3-1-0_106075_2020-02-18_final
2020-02-18 10:56:00	ga_ls8c_ard_3-1-0_106076_2020-02-18_final
2020-02-18 10:56:24	ga_ls8c_ard_3-1-0_106077_2020-02-18_final
2020-02-18 10:56:48	ga_ls8c_ard_3-1-0_106078_2020-02-18_final
2020-02-18 10:57:12	ga_ls8c_ard_3-1-0_106079_2020-02-18_final
2020-02-18 10:57:36	ga_ls8c_ard_3-1-0_106080_2020-02-18_final
2020-02-18 10:58:00	ga_ls8c_ard_3-1-0_106081_2020-02-18_final
2020-02-23 11:10:56	ga_ls8c_ard_3-1-0_109067_2020-02-23_final
2020-02-25 11:00:09	ga_ls8c_ard_3-1-0_107071_2020-02-25_final
2020-02-25 11:00:33	ga_ls8c_ard_3-1-0_107072_2020-02-25_final
2020-02-25 11:00:57	ga_ls8c_ard_3-1-0_107073_2020-02-25_final
2020-02-25 11:01:21	ga_ls8c_ard_3-1-0_107074_2020-02-25_final
2020-02-25 11:01:45	ga_ls8c_ard_3-1-0_107075_2020-02-25_final
2020-02-25 11:02:09	ga_ls8c_ard_3-1-0_107076_2020-02-25_final
2020-04-13 10:59:47	ga_ls8c_ard_3-1-0_107071_2020-04-13_final
2020-04-13 11:00:11	ga_ls8c_ard_3-1-0_107072_2020-04-13_final
2020-04-13 11:00:35	ga_ls8c_ard_3-1-0_107073_2020-04-13_final
2020-05-08 10:54:59	ga_ls8c_ard_3-1-0_106075_2020-05-08_final
2020-05-08 10:55:22	ga_ls8c_ard_3-1-0_106076_2020-05-08_final
2020-05-08 10:55:46	ga_ls8c_ard_3-1-0_106077_2020-05-08_final
2020-05-08 10:56:10	ga_ls8c_ard_3-1-0_106078_2020-05-08_final
2020-05-08 10:56:34	ga_ls8c_ard_3-1-0_106079_2020-05-08_final
2020-05-08 10:56:58	ga_ls8c_ard_3-1-0_106080_2020-05-08_final
2020-05-08 10:57:22	ga_ls8c_ard_3-1-0_106081_2020-05-08_final
2023-05-08 10:59:33	ga_ls8c_ard_3-2-1_107071_2023-05-08_final
2023-05-08 10:59:57	ga_ls8c_ard_3-2-1_107072_2023-05-08_final
2023-05-08 11:00:20	ga_ls8c_ard_3-2-1_107073_2023-05-08_final
2023-05-08 11:00:44	ga_ls8c_ard_3-2-1_107074_2023-05-08_final
2023-05-08 11:01:08	ga_ls8c_ard_3-2-1_107075_2023-05-08_final
2023-05-08 11:01:32	ga_ls8c_ard_3-2-1_107076_2023-05-08_final
2023-05-15 11:04:49	ga_ls8c_ard_3-2-1_108069_2023-05-15_final
2023-05-15 11:05:13	ga_ls8c_ard_3-2-1_108070_2023-05-15_final
2023-05-15 11:05:37	ga_ls8c_ard_3-2-1_108071_2023-05-15_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