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
2014-10-07 10:03:09	ga_ls8c_ard_3-0-0_098067_2014-10-07_final
2014-10-07 10:03:33	ga_ls8c_ard_3-0-0_098068_2014-10-07_final
2014-10-07 10:03:56	ga_ls8c_ard_3-0-0_098069_2014-10-07_final
2014-10-07 10:04:20	ga_ls8c_ard_3-0-0_098070_2014-10-07_final
2014-10-07 10:04:44	ga_ls8c_ard_3-0-0_098071_2014-10-07_final
2014-10-09 09:53:35	ga_ls8c_ard_3-0-0_096074_2014-10-09_final
2014-10-09 09:53:59	ga_ls8c_ard_3-0-0_096075_2014-10-09_final
2014-10-09 09:54:23	ga_ls8c_ard_3-0-0_096076_2014-10-09_final
2014-10-09 09:54:47	ga_ls8c_ard_3-0-0_096077_2014-10-09_final
2014-10-09 09:55:11	ga_ls8c_ard_3-0-0_096078_2014-10-09_final
2014-10-09 09:55:34	ga_ls8c_ard_3-0-0_096079_2014-10-09_final
2014-10-09 09:55:58	ga_ls8c_ard_3-0-0_096080_2014-10-09_final
2014-10-11 09:44:49	ga_ls8c_ard_3-0-0_094083_2014-10-11_final
2014-10-11 09:45:13	ga_ls8c_ard_3-0-0_094084_2014-10-11_final
2014-10-11 09:45:37	ga_ls8c_ard_3-0-0_094085_2014-10-11_final
2014-10-11 09:46:01	ga_ls8c_ard_3-0-0_094086_2014-10-11_final
2014-10-11 09:46:25	ga_ls8c_ard_3-0-0_094087_2014-10-11_final
2014-12-14 09:44:42	ga_ls8c_ard_3-0-0_094083_2014-12-14_final
2014-12-14 09:45:06	ga_ls8c_ard_3-0-0_094084_2014-12-14_final
2014-12-14 09:45:30	ga_ls8c_ard_3-0-0_094085_2014-12-14_final
2014-12-14 09:45:54	ga_ls8c_ard_3-0-0_094086_2014-12-14_final
2014-12-14 09:46:18	ga_ls8c_ard_3-0-0_094087_2014-12-14_final
2015-06-01 09:38:45	ga_ls8c_ard_3-0-0_093086_2015-06-01_final
2015-06-01 09:39:09	ga_ls8c_ard_3-0-0_093087_2015-06-01_final
2015-06-01 09:39:33	ga_ls8c_ard_3-0-0_093088_2015-06-01_final
2015-06-17 09:38:56	ga_ls8c_ard_3-0-0_093086_2015-06-17_final
2015-06-17 09:39:20	ga_ls8c_ard_3-0-0_093087_2015-06-17_final
2015-06-17 09:39:44	ga_ls8c_ard_3-0-0_093088_2015-06-17_final
2021-01-06 09:49:27	ga_ls8c_ard_3-2-0_095079_2021-01-06_final
2021-01-06 09:49:51	ga_ls8c_ard_3-2-0_095080_2021-01-06_final
2021-01-06 09:50:14	ga_ls8c_ard_3-2-0_095081_2021-01-06_final
2021-01-06 09:50:38	ga_ls8c_ard_3-2-0_095082_2021-01-06_final
2021-01-06 09:51:02	ga_ls8c_ard_3-2-0_095083_2021-01-06_final
2021-01-06 09:51:26	ga_ls8c_ard_3-2-0_095084_2021-01-06_final
2021-03-07 10:08:40	ga_ls8c_ard_3-2-1_099066_2021-03-07_final
2021-03-09 09:57:53	ga_ls8c_ard_3-2-0_097070_2021-03-09_final
2021-03-09 09:58:17	ga_ls8c_ard_3-2-0_097071_2021-03-09_final
2021-03-09 09:58:41	ga_ls8c_ard_3-2-0_097072_2021-03-09_final
2021-03-09 09:59:05	ga_ls8c_ard_3-2-0_097073_2021-03-09_final
2021-03-09 09:59:29	ga_ls8c_ard_3-2-0_097074_2021-03-09_final
2021-03-09 09:59:52	ga_ls8c_ard_3-2-0_097075_2021-03-09_final
2021-03-09 10:00:16	ga_ls8c_ard_3-2-0_097076_2021-03-09_final
2021-03-11 09:49:05	ga_ls8c_ard_3-2-0_095079_2021-03-11_final
2021-03-11 09:49:29	ga_ls8c_ard_3-2-0_095080_2021-03-11_final
2021-03-11 09:49:53	ga_ls8c_ard_3-2-0_095081_2021-03-11_final
2021-03-11 09:50:17	ga_ls8c_ard_3-2-0_095082_2021-03-11_final
2021-03-11 09:50:41	ga_ls8c_ard_3-2-0_095083_2021-03-11_final
2021-03-11 09:51:05	ga_ls8c_ard_3-2-0_095084_2021-03-11_final
2021-03-13 09:39:30	ga_ls8c_ard_3-2-0_093086_2021-03-13_final
2021-03-13 09:39:54	ga_ls8c_ard_3-2-0_093087_2021-03-13_final
2021-03-13 09:40:18	ga_ls8c_ard_3-2-0_093088_2021-03-13_final
2021-03-16 10:02:23	ga_ls8c_ard_3-2-1_098066_2021-03-16_final
2021-03-16 10:02:47	ga_ls8c_ard_3-2-0_098067_2021-03-16_final
2021-03-16 10:03:11	ga_ls8c_ard_3-2-0_098068_2021-03-16_final
2021-03-16 10:03:35	ga_ls8c_ard_3-2-0_098069_2021-03-16_final
2021-03-16 10:03:59	ga_ls8c_ard_3-2-0_098070_2021-03-16_final
2021-03-16 10:04:23	ga_ls8c_ard_3-2-0_098071_2021-03-16_final
2021-03-18 09:53:36	ga_ls8c_ard_3-2-0_096075_2021-03-18_final
2021-03-18 09:54:00	ga_ls8c_ard_3-2-0_096076_2021-03-18_final
2021-03-18 09:54:24	ga_ls8c_ard_3-2-0_096077_2021-03-18_final
2021-03-18 09:54:48	ga_ls8c_ard_3-2-0_096078_2021-03-18_final
2021-03-18 09:55:12	ga_ls8c_ard_3-2-0_096079_2021-03-18_final
2021-03-18 09:55:36	ga_ls8c_ard_3-2-0_096080_2021-03-18_final
2021-03-20 09:44:26	ga_ls8c_ard_3-2-0_094083_2021-03-20_final
2021-03-20 09:44:50	ga_ls8c_ard_3-2-0_094084_2021-03-20_final
2021-03-20 09:45:14	ga_ls8c_ard_3-2-0_094085_2021-03-20_final
2021-03-20 09:45:38	ga_ls8c_ard_3-2-0_094086_2021-03-20_final
2021-03-20 09:46:02	ga_ls8c_ard_3-2-0_094087_2021-03-20_final
2021-03-20 09:46:25	ga_ls8c_ard_3-2-0_094088_2021-03-20_final
2021-08-18 09:49:21	ga_ls8c_ard_3-2-0_095079_2021-08-18_final
2021-08-18 09:49:45	ga_ls8c_ard_3-2-0_095080_2021-08-18_final
2021-08-18 09:50:33	ga_ls8c_ard_3-2-0_095082_2021-08-18_final
2021-08-18 09:50:57	ga_ls8c_ard_3-2-0_095083_2021-08-18_final
2021-08-18 09:51:21	ga_ls8c_ard_3-2-0_095084_2021-08-18_final
2021-08-20 09:39:48	ga_ls8c_ard_3-2-0_093086_2021-08-20_final
2021-08-20 09:40:12	ga_ls8c_ard_3-2-0_093087_2021-08-20_final
2021-08-20 09:40:36	ga_ls8c_ard_3-2-0_093088_2021-08-20_final
2021-08-23 10:02:44	ga_ls8c_ard_3-2-1_098066_2021-08-23_final
2021-08-23 10:03:08	ga_ls8c_ard_3-2-0_098067_2021-08-23_final
2021-08-23 10:03:32	ga_ls8c_ard_3-2-0_098068_2021-08-23_final
2021-08-23 10:03:56	ga_ls8c_ard_3-2-0_098069_2021-08-23_final
2021-08-23 10:04:20	ga_ls8c_ard_3-2-0_098070_2021-08-23_final
2021-08-23 10:04:44	ga_ls8c_ard_3-2-0_098071_2021-08-23_final
2021-08-27 09:44:49	ga_ls8c_ard_3-2-0_094083_2021-08-27_final
2021-08-27 09:45:13	ga_ls8c_ard_3-2-0_094084_2021-08-27_final
2021-08-27 09:45:36	ga_ls8c_ard_3-2-0_094085_2021-08-27_final
2021-08-27 09:46:00	ga_ls8c_ard_3-2-0_094086_2021-08-27_final
2021-08-27 09:46:24	ga_ls8c_ard_3-2-0_094087_2021-08-27_final
2021-08-27 09:46:48	ga_ls8c_ard_3-2-0_094088_2021-08-27_final
2021-08-29 09:35:15	ga_ls8c_ard_3-2-0_092090_2021-08-29_final
2021-08-30 10:08:57	ga_ls8c_ard_3-2-1_099066_2021-08-30_final
2023-03-19 09:39:33	ga_ls8c_ard_3-2-1_093086_2023-03-19_final
2023-03-19 09:39:57	ga_ls8c_ard_3-2-1_093087_2023-03-19_final
2023-03-19 09:40:21	ga_ls8c_ard_3-2-1_093088_2023-03-19_final
2023-03-24 09:53:13	ga_ls8c_ard_3-2-1_096074_2023-03-24_final
2023-03-24 09:53:37	ga_ls8c_ard_3-2-1_096075_2023-03-24_final
2023-03-24 09:54:01	ga_ls8c_ard_3-2-1_096076_2023-03-24_final
2023-03-24 09:54:25	ga_ls8c_ard_3-2-1_096077_2023-03-24_final
2023-03-24 09:54:49	ga_ls8c_ard_3-2-1_096078_2023-03-24_final
2023-03-24 09:55:13	ga_ls8c_ard_3-2-1_096079_2023-03-24_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