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
2019-01-23 09:13:31	ga_ls8c_ard_3-0-0_089083_2019-01-22_final
2019-01-23 09:13:55	ga_ls8c_ard_3-0-0_089084_2019-01-22_final
2019-01-23 09:14:19	ga_ls8c_ard_3-0-0_089085_2019-01-22_final
2019-01-23 09:14:43	ga_ls8c_ard_3-0-0_089086_2019-01-22_final
2019-01-23 09:15:07	ga_ls8c_ard_3-0-0_089087_2019-01-22_final
2019-01-23 09:15:31	ga_ls8c_ard_3-0-0_089088_2019-01-22_final
2019-01-28 09:27:15	ga_ls8c_ard_3-0-0_092071_2019-01-27_final
2019-01-28 09:27:39	ga_ls8c_ard_3-0-0_092072_2019-01-27_final
2019-01-28 09:28:03	ga_ls8c_ard_3-0-0_092073_2019-01-27_final
2019-01-28 09:28:27	ga_ls8c_ard_3-0-0_092074_2019-01-27_final
2019-01-28 09:28:50	ga_ls8c_ard_3-0-0_092075_2019-01-27_final
2019-01-28 09:29:14	ga_ls8c_ard_3-0-0_092076_2019-01-27_final
2019-02-04 09:33:25	ga_ls8c_ard_3-0-0_093071_2019-02-04_final
2019-02-06 09:22:38	ga_ls8c_ard_3-0-0_091075_2019-02-05_final
2019-02-06 09:23:02	ga_ls8c_ard_3-0-0_091076_2019-02-05_final
2019-02-06 09:23:26	ga_ls8c_ard_3-0-0_091077_2019-02-05_final
2019-02-06 09:23:50	ga_ls8c_ard_3-0-0_091078_2019-02-05_final
2019-02-06 09:24:14	ga_ls8c_ard_3-0-0_091079_2019-02-05_final
2019-02-06 09:24:38	ga_ls8c_ard_3-0-0_091080_2019-02-05_final
2019-02-08 09:13:28	ga_ls8c_ard_3-0-0_089083_2019-02-07_final
2019-02-08 09:13:52	ga_ls8c_ard_3-0-0_089084_2019-02-07_final
2019-02-08 09:14:16	ga_ls8c_ard_3-0-0_089085_2019-02-07_final
2019-02-08 09:14:40	ga_ls8c_ard_3-0-0_089086_2019-02-07_final
2019-02-08 09:15:04	ga_ls8c_ard_3-0-0_089087_2019-02-07_final
2019-02-08 09:15:28	ga_ls8c_ard_3-0-0_089088_2019-02-07_final
2019-02-15 09:18:02	ga_ls8c_ard_3-0-0_090079_2019-02-14_final
2019-02-15 09:18:26	ga_ls8c_ard_3-0-0_090080_2019-02-14_final
2019-02-15 09:18:50	ga_ls8c_ard_3-0-0_090081_2019-02-14_final
2019-02-15 09:19:14	ga_ls8c_ard_3-0-0_090082_2019-02-14_final
2019-02-15 09:19:38	ga_ls8c_ard_3-0-0_090083_2019-02-14_final
2019-02-15 09:20:02	ga_ls8c_ard_3-0-0_090084_2019-02-14_final
2019-03-08 09:31:41	ga_ls8c_ard_3-1-0_093067_2019-03-08_final
2019-03-08 09:32:05	ga_ls8c_ard_3-1-0_093068_2019-03-08_final
2019-03-08 09:33:17	ga_ls8c_ard_3-1-0_093071_2019-03-08_final
2019-03-12 09:13:20	ga_ls8c_ard_3-1-0_089083_2019-03-11_final
2019-03-12 09:13:43	ga_ls8c_ard_3-1-0_089084_2019-03-11_final
2019-03-12 09:14:07	ga_ls8c_ard_3-1-0_089085_2019-03-11_final
2019-04-04 09:17:49	ga_ls8c_ard_3-1-0_090079_2019-04-03_final
2019-04-04 09:18:13	ga_ls8c_ard_3-1-0_090080_2019-04-03_final
2019-04-04 09:18:37	ga_ls8c_ard_3-1-0_090081_2019-04-03_final
2019-04-04 09:19:01	ga_ls8c_ard_3-1-0_090082_2019-04-03_final
2019-04-04 09:19:25	ga_ls8c_ard_3-1-0_090083_2019-04-03_final
2019-04-04 09:19:49	ga_ls8c_ard_3-1-0_090084_2019-04-03_final
2019-04-29 09:13:07	ga_ls8c_ard_3-0-0_089083_2019-04-28_final
2019-04-29 09:13:31	ga_ls8c_ard_3-0-0_089084_2019-04-28_final
2019-04-29 09:13:55	ga_ls8c_ard_3-0-0_089085_2019-04-28_final
2019-04-29 09:14:19	ga_ls8c_ard_3-0-0_089086_2019-04-28_final
2019-04-29 09:14:43	ga_ls8c_ard_3-0-0_089087_2019-04-28_final
2019-04-29 09:15:07	ga_ls8c_ard_3-0-0_089088_2019-04-28_final
2019-05-06 09:17:46	ga_ls8c_ard_3-0-0_090079_2019-05-05_final
2019-05-06 09:18:10	ga_ls8c_ard_3-0-0_090080_2019-05-05_final
2019-05-06 09:18:34	ga_ls8c_ard_3-0-0_090081_2019-05-05_final
2019-05-06 09:18:58	ga_ls8c_ard_3-0-0_090082_2019-05-05_final
2019-05-06 09:19:22	ga_ls8c_ard_3-0-0_090083_2019-05-05_final
2019-05-06 09:19:46	ga_ls8c_ard_3-0-0_090084_2019-05-05_final
2019-05-22 09:17:56	ga_ls8c_ard_3-0-0_090079_2019-05-21_final
2019-05-22 09:18:20	ga_ls8c_ard_3-0-0_090080_2019-05-21_final
2019-05-22 09:18:44	ga_ls8c_ard_3-0-0_090081_2019-05-21_final
2019-05-22 09:19:08	ga_ls8c_ard_3-0-0_090082_2019-05-21_final
2019-05-22 09:19:32	ga_ls8c_ard_3-0-0_090083_2019-05-21_final
2019-05-22 09:19:56	ga_ls8c_ard_3-0-0_090084_2019-05-21_final
2019-05-27 09:31:44	ga_ls8c_ard_3-0-0_093067_2019-05-27_final
2019-05-27 09:32:08	ga_ls8c_ard_3-0-0_093068_2019-05-27_final
2019-05-27 09:33:20	ga_ls8c_ard_3-0-0_093071_2019-05-27_final
2023-06-07 09:33:02	ga_ls8c_ard_3-2-1_093071_2023-06-07_final
2023-06-09 09:21:53	ga_ls8c_ard_3-2-1_091074_2023-06-08_final
2023-06-09 09:22:17	ga_ls8c_ard_3-2-1_091075_2023-06-08_final
2023-06-09 09:22:41	ga_ls8c_ard_3-2-1_091076_2023-06-08_final
2023-06-09 09:23:05	ga_ls8c_ard_3-2-1_091077_2023-06-08_final
2023-06-09 09:23:29	ga_ls8c_ard_3-2-1_091078_2023-06-08_final
2023-06-09 09:23:53	ga_ls8c_ard_3-2-1_091079_2023-06-08_final
2023-06-09 09:24:17	ga_ls8c_ard_3-2-1_091080_2023-06-08_final
2023-06-11 09:13:08	ga_ls8c_ard_3-2-1_089083_2023-06-10_final
2023-06-11 09:13:32	ga_ls8c_ard_3-2-1_089084_2023-06-10_final
2023-06-11 09:13:56	ga_ls8c_ard_3-2-1_089085_2023-06-10_final
2023-06-11 09:14:20	ga_ls8c_ard_3-2-1_089086_2023-06-10_final
2023-06-11 09:15:08	ga_ls8c_ard_3-2-1_089088_2023-06-10_final
2023-06-18 09:17:46	ga_ls8c_ard_3-2-1_090079_2023-06-17_final
2023-06-18 09:18:10	ga_ls8c_ard_3-2-1_090080_2023-06-17_final
2023-06-18 09:18:34	ga_ls8c_ard_3-2-1_090081_2023-06-17_final
2023-06-18 09:18:58	ga_ls8c_ard_3-2-1_090082_2023-06-17_final
2023-06-18 09:19:22	ga_ls8c_ard_3-2-1_090083_2023-06-17_final
2023-06-18 09:19:46	ga_ls8c_ard_3-2-1_090084_2023-06-17_final
2023-06-23 09:33:07	ga_ls8c_ard_3-2-1_093071_2023-06-23_final
2023-06-25 09:22:23	ga_ls8c_ard_3-2-1_091075_2023-06-24_final
2023-06-25 09:22:47	ga_ls8c_ard_3-2-1_091076_2023-06-24_final
2023-06-25 09:23:11	ga_ls8c_ard_3-2-1_091077_2023-06-24_final
2023-06-25 09:23:35	ga_ls8c_ard_3-2-1_091078_2023-06-24_final
2023-06-25 09:23:59	ga_ls8c_ard_3-2-1_091079_2023-06-24_final
2023-06-25 09:24:23	ga_ls8c_ard_3-2-1_091080_2023-06-24_final
2023-07-02 09:27:05	ga_ls8c_ard_3-2-1_092071_2023-07-01_final
2023-07-02 09:27:29	ga_ls8c_ard_3-2-1_092072_2023-07-01_final
2023-07-02 09:27:53	ga_ls8c_ard_3-2-1_092073_2023-07-01_final
2023-07-02 09:28:17	ga_ls8c_ard_3-2-1_092074_2023-07-01_final
2023-07-02 09:28:41	ga_ls8c_ard_3-2-1_092075_2023-07-01_final
2023-07-04 09:17:56	ga_ls8c_ard_3-2-1_090079_2023-07-03_final
2023-07-04 09:18:20	ga_ls8c_ard_3-2-1_090080_2023-07-03_final
2023-07-04 09:18:44	ga_ls8c_ard_3-2-1_090081_2023-07-03_final
2023-07-04 09:19:08	ga_ls8c_ard_3-2-1_090082_2023-07-03_final
2023-07-04 09:19:32	ga_ls8c_ard_3-2-1_090083_2023-07-03_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