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
2013-04-15 11:21:44	ga_ls8c_ard_3-0-0_110074_2013-04-15_final
2013-04-15 11:22:08	ga_ls8c_ard_3-0-0_110075_2013-04-15_final
2013-04-15 11:22:32	ga_ls8c_ard_3-0-0_110076_2013-04-15_final
2013-04-15 11:22:55	ga_ls8c_ard_3-0-0_110077_2013-04-15_final
2013-04-15 11:23:19	ga_ls8c_ard_3-0-0_110078_2013-04-15_final
2013-04-15 11:23:43	ga_ls8c_ard_3-0-0_110079_2013-04-15_final
2013-04-17 11:12:33	ga_ls8c_ard_3-0-0_108082_2013-04-17_final
2013-04-17 11:12:57	ga_ls8c_ard_3-0-0_108083_2013-04-17_final
2013-04-17 11:13:21	ga_ls8c_ard_3-0-0_108084_2013-04-17_final
2013-05-01 11:22:05	ga_ls8c_ard_3-0-0_110075_2013-05-01_final
2013-05-01 11:22:29	ga_ls8c_ard_3-0-0_110076_2013-05-01_final
2013-05-01 11:22:53	ga_ls8c_ard_3-0-0_110077_2013-05-01_final
2013-05-01 11:23:17	ga_ls8c_ard_3-0-0_110078_2013-05-01_final
2013-05-01 11:23:41	ga_ls8c_ard_3-0-0_110079_2013-05-01_final
2013-05-03 11:12:32	ga_ls8c_ard_3-0-0_108082_2013-05-03_final
2013-05-03 11:12:56	ga_ls8c_ard_3-0-0_108083_2013-05-03_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
2013-06-18 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
2013-07-11 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
2013-07-11 11:28:28	ga_ls8c_ard_3-0-0_111075_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
2013-08-03 11:31:29	ga_ls8c_ard_3-0-0_112067_2013-08-03_final
2013-08-23 11:12:47	ga_ls8c_ard_3-0-0_108082_2013-08-23_final
2013-08-23 11:13:11	ga_ls8c_ard_3-0-0_108083_2013-08-23_final
2013-08-23 11:13:35	ga_ls8c_ard_3-0-0_108084_2013-08-23_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
2021-02-07 11:24:12	ga_ls8c_ard_3-2-0_111069_2021-02-07_final
2021-02-07 11:24:36	ga_ls8c_ard_3-2-0_111070_2021-02-07_final
2021-02-07 11:25:00	ga_ls8c_ard_3-2-0_111071_2021-02-07_final
2021-02-07 11:25:24	ga_ls8c_ard_3-2-0_111072_2021-02-07_final
2021-02-07 11:25:48	ga_ls8c_ard_3-2-0_111073_2021-02-07_final
2021-02-07 11:26:12	ga_ls8c_ard_3-2-0_111074_2021-02-07_final
2021-02-07 11:26:36	ga_ls8c_ard_3-2-0_111075_2021-02-07_final
2021-02-09 11:15:25	ga_ls8c_ard_3-2-0_109078_2021-02-09_final
2021-02-09 11:15:49	ga_ls8c_ard_3-2-0_109079_2021-02-09_final
2021-02-09 11:16:13	ga_ls8c_ard_3-2-0_109080_2021-02-09_final
2021-02-09 11:16:37	ga_ls8c_ard_3-2-0_109081_2021-02-09_final
2021-02-09 11:17:01	ga_ls8c_ard_3-2-0_109082_2021-02-09_final
2021-02-09 11:17:25	ga_ls8c_ard_3-2-0_109083_2021-02-09_final
2021-02-14 11:29:33	ga_ls8c_ard_3-2-0_112067_2021-02-14_final
2021-02-14 11:29:57	ga_ls8c_ard_3-2-0_112068_2021-02-14_final
2021-02-14 11:30:21	ga_ls8c_ard_3-2-0_112069_2021-02-14_final
2021-02-14 11:30:45	ga_ls8c_ard_3-2-0_112070_2021-02-14_final
2021-02-16 11:19:59	ga_ls8c_ard_3-2-0_110074_2021-02-16_final
2021-02-16 11:20:23	ga_ls8c_ard_3-2-0_110075_2021-02-16_final
2021-02-16 11:20:46	ga_ls8c_ard_3-2-0_110076_2021-02-16_final
2021-02-16 11:21:10	ga_ls8c_ard_3-2-0_110077_2021-02-16_final
2021-02-16 11:21:34	ga_ls8c_ard_3-2-0_110078_2021-02-16_final
2021-02-16 11:21:58	ga_ls8c_ard_3-2-0_110079_2021-02-16_final
2022-11-27 11:15:53	ga_ls8c_ard_3-2-1_109078_2022-11-27_final
2022-11-27 11:16:17	ga_ls8c_ard_3-2-1_109079_2022-11-27_final
2022-11-27 11:16:41	ga_ls8c_ard_3-2-1_109080_2022-11-27_final
2022-11-27 11:17:05	ga_ls8c_ard_3-2-1_109081_2022-11-27_final
2022-11-27 11:17:29	ga_ls8c_ard_3-2-1_109082_2022-11-27_final
2022-11-27 11:17:52	ga_ls8c_ard_3-2-1_109083_2022-11-27_final
2022-12-11 11:24:37	ga_ls8c_ard_3-2-1_111069_2022-12-11_final
2022-12-11 11:25:01	ga_ls8c_ard_3-2-1_111070_2022-12-11_final
2022-12-11 11:25:25	ga_ls8c_ard_3-2-1_111071_2022-12-11_final
2022-12-11 11:25:49	ga_ls8c_ard_3-2-1_111072_2022-12-11_final
2022-12-11 11:26:13	ga_ls8c_ard_3-2-1_111073_2022-12-11_final
2022-12-11 11:26:37	ga_ls8c_ard_3-2-1_111074_2022-12-11_final
2022-12-13 11:15:50	ga_ls8c_ard_3-2-1_109078_2022-12-13_final
2022-12-13 11:16:14	ga_ls8c_ard_3-2-1_109079_2022-12-13_final
2022-12-13 11:16:38	ga_ls8c_ard_3-2-1_109080_2022-12-13_final
2022-12-13 11:17:02	ga_ls8c_ard_3-2-1_109081_2022-12-13_final
2022-12-13 11:17:25	ga_ls8c_ard_3-2-1_109082_2022-12-13_final
2022-12-13 11:17:49	ga_ls8c_ard_3-2-1_109083_2022-12-13_final
2022-12-22 11:11:07	ga_ls8c_ard_3-2-1_108082_2022-12-22_final
2022-12-22 11:11:31	ga_ls8c_ard_3-2-1_108083_2022-12-22_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