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
2013-03-26 11:16:16	ga_ls8c_ard_3-0-0_109078_2013-03-26_final
2013-03-26 11:16:39	ga_ls8c_ard_3-0-0_109079_2013-03-26_final
2013-03-26 11:17:03	ga_ls8c_ard_3-0-0_109080_2013-03-26_final
2013-03-26 11:17:27	ga_ls8c_ard_3-0-0_109081_2013-03-26_final
2013-03-26 11:17:51	ga_ls8c_ard_3-0-0_109082_2013-03-26_final
2013-03-26 11:18:15	ga_ls8c_ard_3-0-0_109083_2013-03-26_final
2013-03-31 11:13:13	ga_ls8c_ard_3-0-0_108081_2013-03-31_final
2013-03-31 11:13:37	ga_ls8c_ard_3-0-0_108082_2013-03-31_final
2013-04-03 11:26:48	ga_ls8c_ard_3-0-0_111072_2013-04-03_final
2013-04-03 11:27:12	ga_ls8c_ard_3-0-0_111073_2013-04-03_final
2013-04-03 11:27:36	ga_ls8c_ard_3-0-0_111074_2013-04-03_final
2013-04-10 11:11:04	ga_ls8c_ard_3-0-0_108083_2013-04-10_final
2013-04-10 11:11:28	ga_ls8c_ard_3-0-0_108084_2013-04-10_final
2013-04-22 11:27:04	ga_ls8c_ard_3-0-0_111072_2013-04-22_final
2013-04-22 11:27:28	ga_ls8c_ard_3-0-0_111073_2013-04-22_final
2013-04-22 11:27:52	ga_ls8c_ard_3-0-0_111074_2013-04-22_final
2013-04-24 11:17:05	ga_ls8c_ard_3-0-0_109078_2013-04-24_final
2013-04-24 11:17:29	ga_ls8c_ard_3-0-0_109079_2013-04-24_final
2013-04-24 11:17:53	ga_ls8c_ard_3-0-0_109080_2013-04-24_final
2013-04-24 11:18:17	ga_ls8c_ard_3-0-0_109081_2013-04-24_final
2013-04-24 11:18:41	ga_ls8c_ard_3-0-0_109082_2013-04-24_final
2013-04-24 11:19:05	ga_ls8c_ard_3-0-0_109083_2013-04-24_final
2013-06-02 11:22:45	ga_ls8c_ard_3-0-0_110076_2013-06-02_final
2013-06-02 11:23:09	ga_ls8c_ard_3-0-0_110077_2013-06-02_final
2013-06-02 11:23:33	ga_ls8c_ard_3-0-0_110078_2013-06-02_final
2013-06-02 11:23:57	ga_ls8c_ard_3-0-0_110079_2013-06-02_final
2013-06-04 11:12:47	ga_ls8c_ard_3-0-0_108082_2013-06-04_final
2013-06-04 11:13:11	ga_ls8c_ard_3-0-0_108083_2013-06-04_final
2013-06-11 11:17:20	ga_ls8c_ard_3-0-0_109078_2013-06-11_final
2013-06-11 11:17:44	ga_ls8c_ard_3-0-0_109079_2013-06-11_final
2013-06-11 11:18:08	ga_ls8c_ard_3-0-0_109080_2013-06-11_final
2013-06-11 11:18:31	ga_ls8c_ard_3-0-0_109081_2013-06-11_final
2013-06-11 11:18:55	ga_ls8c_ard_3-0-0_109082_2013-06-11_final
2013-06-11 11:19:19	ga_ls8c_ard_3-0-0_109083_2013-06-11_final
2013-06-18 11:21:27	ga_ls8c_ard_3-0-0_110073_2013-06-18_final
2013-06-18 11:23:27	ga_ls8c_ard_3-0-0_110078_2013-06-18_final
2013-06-18 11:23:51	ga_ls8c_ard_3-0-0_110079_2013-06-18_final
2013-06-20 11:12:40	ga_ls8c_ard_3-0-0_108082_2013-06-20_final
2013-06-20 11:13:04	ga_ls8c_ard_3-0-0_108083_2013-06-20_final
2013-07-02 11:31:27	ga_ls8c_ard_3-0-0_112067_2013-07-02_final
2013-07-04 11:21:29	ga_ls8c_ard_3-0-0_110073_2013-07-04_final
2013-07-04 11:21:53	ga_ls8c_ard_3-0-0_110074_2013-07-04_final
2013-07-04 11:22:17	ga_ls8c_ard_3-0-0_110075_2013-07-04_final
2013-07-04 11:22:41	ga_ls8c_ard_3-0-0_110076_2013-07-04_final
2013-07-04 11:23:05	ga_ls8c_ard_3-0-0_110077_2013-07-04_final
2013-07-04 11:23:29	ga_ls8c_ard_3-0-0_110078_2013-07-04_final
2013-07-04 11:23:53	ga_ls8c_ard_3-0-0_110079_2013-07-04_final
2013-07-11 11:26:53	ga_ls8c_ard_3-0-0_111071_2013-07-11_final
2013-07-11 11:27:17	ga_ls8c_ard_3-0-0_111072_2013-07-11_final
2013-07-11 11:27:40	ga_ls8c_ard_3-0-0_111073_2013-07-11_final
2013-07-11 11:28:04	ga_ls8c_ard_3-0-0_111074_2013-07-11_final
2013-07-13 11:17:18	ga_ls8c_ard_3-0-0_109078_2013-07-13_final
2013-07-13 11:17:42	ga_ls8c_ard_3-0-0_109079_2013-07-13_final
2013-07-13 11:18:06	ga_ls8c_ard_3-0-0_109080_2013-07-13_final
2013-07-13 11:18:30	ga_ls8c_ard_3-0-0_109081_2013-07-13_final
2013-07-13 11:18:54	ga_ls8c_ard_3-0-0_109082_2013-07-13_final
2013-07-13 11:19:18	ga_ls8c_ard_3-0-0_109083_2013-07-13_final
2013-08-28 11:26:08	ga_ls8c_ard_3-0-0_111069_2013-08-28_final
2013-08-28 11:26:32	ga_ls8c_ard_3-0-0_111070_2013-08-28_final
2013-08-28 11:26:56	ga_ls8c_ard_3-0-0_111071_2013-08-28_final
2013-08-28 11:27:20	ga_ls8c_ard_3-0-0_111072_2013-08-28_final
2013-08-28 11:27:44	ga_ls8c_ard_3-0-0_111073_2013-08-28_final
2013-08-28 11:28:08	ga_ls8c_ard_3-0-0_111074_2013-08-28_final
2013-08-30 11:17:22	ga_ls8c_ard_3-0-0_109078_2013-08-30_final
2013-08-30 11:17:46	ga_ls8c_ard_3-0-0_109079_2013-08-30_final
2013-08-30 11:18:10	ga_ls8c_ard_3-0-0_109080_2013-08-30_final
2013-08-30 11:18:34	ga_ls8c_ard_3-0-0_109081_2013-08-30_final
2023-12-30 11:24:15	ga_ls8c_ard_3-2-1_111069_2023-12-30_final
2023-12-30 11:24:39	ga_ls8c_ard_3-2-1_111070_2023-12-30_final
2023-12-30 11:25:03	ga_ls8c_ard_3-2-1_111071_2023-12-30_final
2023-12-30 11:25:27	ga_ls8c_ard_3-2-1_111072_2023-12-30_final
2023-12-30 11:25:51	ga_ls8c_ard_3-2-1_111073_2023-12-30_final
2023-12-30 11:26:15	ga_ls8c_ard_3-2-1_111074_2023-12-30_final
2024-01-01 11:15:27	ga_ls8c_ard_3-2-1_109078_2024-01-01_final
2024-01-01 11:15:51	ga_ls8c_ard_3-2-1_109079_2024-01-01_final
2024-01-01 11:16:15	ga_ls8c_ard_3-2-1_109080_2024-01-01_final
2024-01-01 11:16:39	ga_ls8c_ard_3-2-1_109081_2024-01-01_final
2024-01-01 11:17:03	ga_ls8c_ard_3-2-1_109082_2024-01-01_final
2024-01-01 11:17:27	ga_ls8c_ard_3-2-1_109083_2024-01-01_final
2024-01-08 11:19:36	ga_ls8c_ard_3-2-1_110073_2024-01-08_final
2024-01-08 11:20:00	ga_ls8c_ard_3-2-1_110074_2024-01-08_final
2024-01-08 11:20:24	ga_ls8c_ard_3-2-1_110075_2024-01-08_final
2024-01-08 11:20:48	ga_ls8c_ard_3-2-1_110076_2024-01-08_final
2024-01-08 11:21:12	ga_ls8c_ard_3-2-1_110077_2024-01-08_final
2024-01-08 11:21:36	ga_ls8c_ard_3-2-1_110078_2024-01-08_final
2024-01-08 11:22:00	ga_ls8c_ard_3-2-1_110079_2024-01-08_final
2024-01-10 11:10:51	ga_ls8c_ard_3-2-1_108082_2024-01-10_final
2024-01-10 11:11:15	ga_ls8c_ard_3-2-1_108083_2024-01-10_final
2024-01-10 11:11:39	ga_ls8c_ard_3-2-1_108084_2024-01-10_final
2024-01-15 11:24:13	ga_ls8c_ard_3-2-1_111069_2024-01-15_final
2024-01-15 11:24:37	ga_ls8c_ard_3-2-1_111070_2024-01-15_final
2024-01-15 11:25:01	ga_ls8c_ard_3-2-1_111071_2024-01-15_final
2024-01-15 11:25:25	ga_ls8c_ard_3-2-1_111072_2024-01-15_final
2024-01-15 11:25:49	ga_ls8c_ard_3-2-1_111073_2024-01-15_final
2024-01-15 11:26:13	ga_ls8c_ard_3-2-1_111074_2024-01-15_final
2024-01-17 11:15:26	ga_ls8c_ard_3-2-1_109078_2024-01-17_final
2024-01-17 11:15:50	ga_ls8c_ard_3-2-1_109079_2024-01-17_final
2024-01-17 11:16:14	ga_ls8c_ard_3-2-1_109080_2024-01-17_final
2024-01-17 11:16:38	ga_ls8c_ard_3-2-1_109081_2024-01-17_final
2024-01-17 11:17:02	ga_ls8c_ard_3-2-1_109082_2024-01-17_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