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
2013-03-31 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
2013-04-03 11:27:59	ga_ls8c_ard_3-0-0_111075_2013-04-03_final
2013-04-10 11:11:28	ga_ls8c_ard_3-0-0_108084_2013-04-10_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
2013-05-01 11:24:05	ga_ls8c_ard_3-0-0_110080_2013-05-01_final
2013-05-03 11:12:56	ga_ls8c_ard_3-0-0_108083_2013-05-03_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
2013-06-25 11:26:49	ga_ls8c_ard_3-0-0_111071_2013-06-25_final
2013-06-25 11:27:13	ga_ls8c_ard_3-0-0_111072_2013-06-25_final
2013-06-27 11:17:40	ga_ls8c_ard_3-0-0_109079_2013-06-27_final
2013-06-27 11:18:04	ga_ls8c_ard_3-0-0_109080_2013-06-27_final
2013-06-27 11:18:28	ga_ls8c_ard_3-0-0_109081_2013-06-27_final
2013-06-27 11:18:52	ga_ls8c_ard_3-0-0_109082_2013-06-27_final
2013-06-27 11:19:16	ga_ls8c_ard_3-0-0_109083_2013-06-27_final
2013-06-27 11:19:40	ga_ls8c_ard_3-0-0_109084_2013-06-27_final
2013-08-03 11:31:29	ga_ls8c_ard_3-0-0_112067_2013-08-03_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
2013-08-28 11:28:32	ga_ls8c_ard_3-0-0_111075_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
2013-09-04 11:31:31	ga_ls8c_ard_3-0-0_112067_2013-09-04_final
2013-09-06 11:21:56	ga_ls8c_ard_3-0-0_110074_2013-09-06_final
2013-09-06 11:22:20	ga_ls8c_ard_3-0-0_110075_2013-09-06_final
2013-09-06 11:22:44	ga_ls8c_ard_3-0-0_110076_2013-09-06_final
2013-09-06 11:23:08	ga_ls8c_ard_3-0-0_110077_2013-09-06_final
2013-09-06 11:23:32	ga_ls8c_ard_3-0-0_110078_2013-09-06_final
2013-09-06 11:23:56	ga_ls8c_ard_3-0-0_110079_2013-09-06_final
2013-09-06 11:24:20	ga_ls8c_ard_3-0-0_110080_2013-09-06_final
2013-09-08 11:12:45	ga_ls8c_ard_3-0-0_108082_2013-09-08_final
2013-09-08 11:13:09	ga_ls8c_ard_3-0-0_108083_2013-09-08_final
2013-09-08 11:13:33	ga_ls8c_ard_3-0-0_108084_2013-09-08_final
2013-12-04 11:17:21	ga_ls8c_ard_3-0-0_109079_2013-12-04_final
2013-12-04 11:17:45	ga_ls8c_ard_3-0-0_109080_2013-12-04_final
2013-12-04 11:18:08	ga_ls8c_ard_3-0-0_109081_2013-12-04_final
2013-12-04 11:18:32	ga_ls8c_ard_3-0-0_109082_2013-12-04_final
2013-12-04 11:18:56	ga_ls8c_ard_3-0-0_109083_2013-12-04_final
2013-12-04 11:19:20	ga_ls8c_ard_3-0-0_109084_2013-12-04_final
2013-12-09 11:31:05	ga_ls8c_ard_3-0-0_112067_2013-12-09_final
2013-12-11 11:21:30	ga_ls8c_ard_3-0-0_110074_2013-12-11_final
2013-12-11 11:21:54	ga_ls8c_ard_3-0-0_110075_2013-12-11_final
2013-12-11 11:22:17	ga_ls8c_ard_3-0-0_110076_2013-12-11_final
2013-12-11 11:22:41	ga_ls8c_ard_3-0-0_110077_2013-12-11_final
2013-12-11 11:23:05	ga_ls8c_ard_3-0-0_110078_2013-12-11_final
2013-12-11 11:23:29	ga_ls8c_ard_3-0-0_110079_2013-12-11_final
2013-12-11 11:23:53	ga_ls8c_ard_3-0-0_110080_2013-12-11_final
2013-12-18 11:25:59	ga_ls8c_ard_3-0-0_111070_2013-12-18_final
2013-12-18 11:26:23	ga_ls8c_ard_3-0-0_111071_2013-12-18_final
2013-12-18 11:26:47	ga_ls8c_ard_3-0-0_111072_2013-12-18_final
2013-12-18 11:27:11	ga_ls8c_ard_3-0-0_111073_2013-12-18_final
2013-12-18 11:27:34	ga_ls8c_ard_3-0-0_111074_2013-12-18_final
2013-12-18 11:27:58	ga_ls8c_ard_3-0-0_111075_2013-12-18_final
2013-12-20 11:17:11	ga_ls8c_ard_3-0-0_109079_2013-12-20_final
2013-12-20 11:17:35	ga_ls8c_ard_3-0-0_109080_2013-12-20_final
2013-12-20 11:19:11	ga_ls8c_ard_3-0-0_109084_2013-12-20_final
2014-01-21 11:16:52	ga_ls8c_ard_3-0-0_109079_2014-01-21_final
2014-01-21 11:17:15	ga_ls8c_ard_3-0-0_109080_2014-01-21_final
2014-01-21 11:17:39	ga_ls8c_ard_3-0-0_109081_2014-01-21_final
2014-01-21 11:18:03	ga_ls8c_ard_3-0-0_109082_2014-01-21_final
2014-01-21 11:18:27	ga_ls8c_ard_3-0-0_109083_2014-01-21_final
2014-01-21 11:18:51	ga_ls8c_ard_3-0-0_109084_2014-01-21_final
2020-07-14 11:24:21	ga_ls8c_ard_3-1-0_111070_2020-07-14_final
2020-07-14 11:24:45	ga_ls8c_ard_3-1-0_111071_2020-07-14_final
2020-07-14 11:25:09	ga_ls8c_ard_3-1-0_111072_2020-07-14_final
2020-07-14 11:25:33	ga_ls8c_ard_3-1-0_111073_2020-07-14_final
2020-07-14 11:25:57	ga_ls8c_ard_3-1-0_111074_2020-07-14_final
2020-07-14 11:26:21	ga_ls8c_ard_3-1-0_111075_2020-07-14_final
2020-07-30 11:24:26	ga_ls8c_ard_3-1-0_111070_2020-07-30_final
2020-07-30 11:24:50	ga_ls8c_ard_3-1-0_111071_2020-07-30_final
2020-07-30 11:25:14	ga_ls8c_ard_3-1-0_111072_2020-07-30_final
2020-07-30 11:25:38	ga_ls8c_ard_3-1-0_111073_2020-07-30_final
2020-07-30 11:26:02	ga_ls8c_ard_3-1-0_111074_2020-07-30_final
2020-07-30 11:26:25	ga_ls8c_ard_3-1-0_111075_2020-07-30_final
2020-08-01 11:15:40	ga_ls8c_ard_3-1-0_109079_2020-08-01_final
2020-08-01 11:16:04	ga_ls8c_ard_3-1-0_109080_2020-08-01_final
2020-08-01 11:16:28	ga_ls8c_ard_3-1-0_109081_2020-08-01_final
2020-08-01 11:16:52	ga_ls8c_ard_3-1-0_109082_2020-08-01_final
2020-08-01 11:17:16	ga_ls8c_ard_3-1-0_109083_2020-08-01_final
2020-08-01 11:17:40	ga_ls8c_ard_3-1-0_109084_2020-08-01_final
2023-04-04 11:15:27	ga_ls8c_ard_3-2-1_109079_2023-04-04_final
2023-04-04 11:15:50	ga_ls8c_ard_3-2-1_109080_2023-04-04_final
2023-04-04 11:16:14	ga_ls8c_ard_3-2-1_109081_2023-04-04_final
2023-04-04 11:16:38	ga_ls8c_ard_3-2-1_109082_2023-04-04_final
2023-04-04 11:17:02	ga_ls8c_ard_3-2-1_109083_2023-04-04_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