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
2015-08-23 10:02:43	ga_ls8c_ard_3-0-0_098067_2015-08-23_final
2015-08-23 10:03:07	ga_ls8c_ard_3-0-0_098068_2015-08-23_final
2015-08-23 10:03:31	ga_ls8c_ard_3-0-0_098069_2015-08-23_final
2015-08-25 09:52:46	ga_ls8c_ard_3-0-0_096073_2015-08-25_final
2015-08-25 09:53:10	ga_ls8c_ard_3-0-0_096074_2015-08-25_final
2015-08-25 09:53:34	ga_ls8c_ard_3-0-0_096075_2015-08-25_final
2015-08-25 09:53:58	ga_ls8c_ard_3-0-0_096076_2015-08-25_final
2015-08-25 09:54:22	ga_ls8c_ard_3-0-0_096077_2015-08-25_final
2015-08-25 09:54:45	ga_ls8c_ard_3-0-0_096078_2015-08-25_final
2015-08-25 09:55:09	ga_ls8c_ard_3-0-0_096079_2015-08-25_final
2015-12-15 09:53:07	ga_ls8c_ard_3-0-0_096073_2015-12-15_final
2015-12-15 09:53:31	ga_ls8c_ard_3-0-0_096074_2015-12-15_final
2015-12-15 09:53:55	ga_ls8c_ard_3-0-0_096075_2015-12-15_final
2015-12-15 09:54:18	ga_ls8c_ard_3-0-0_096076_2015-12-15_final
2015-12-15 09:54:42	ga_ls8c_ard_3-0-0_096077_2015-12-15_final
2015-12-15 09:55:06	ga_ls8c_ard_3-0-0_096078_2015-12-15_final
2015-12-15 09:55:30	ga_ls8c_ard_3-0-0_096079_2015-12-15_final
2019-01-06 10:02:49	ga_ls8c_ard_3-0-0_098067_2019-01-06_final
2019-01-06 10:03:13	ga_ls8c_ard_3-0-0_098068_2019-01-06_final
2019-01-06 10:03:37	ga_ls8c_ard_3-0-0_098069_2019-01-06_final
2021-12-06 09:57:32	ga_ls8c_ard_3-2-1_097068_2021-12-06_final
2021-12-06 09:57:56	ga_ls8c_ard_3-2-1_097069_2021-12-06_final
2021-12-06 09:58:20	ga_ls8c_ard_3-2-1_097070_2021-12-06_final
2021-12-06 09:58:44	ga_ls8c_ard_3-2-1_097071_2021-12-06_final
2021-12-06 09:59:08	ga_ls8c_ard_3-2-1_097072_2021-12-06_final
2021-12-06 09:59:31	ga_ls8c_ard_3-2-1_097073_2021-12-06_final
2021-12-06 09:59:55	ga_ls8c_ard_3-2-1_097074_2021-12-06_final
2021-12-08 09:49:09	ga_ls8c_ard_3-2-1_095078_2021-12-08_final
2021-12-08 09:49:33	ga_ls8c_ard_3-2-1_095079_2021-12-08_final
2021-12-08 09:49:57	ga_ls8c_ard_3-2-1_095080_2021-12-08_final
2021-12-08 09:50:21	ga_ls8c_ard_3-2-1_095081_2021-12-08_final
2021-12-08 09:50:45	ga_ls8c_ard_3-2-1_095082_2021-12-08_final
2021-12-08 09:51:09	ga_ls8c_ard_3-2-1_095083_2021-12-08_final
2021-12-15 09:53:20	ga_ls8c_ard_3-2-1_096073_2021-12-15_final
2021-12-15 09:53:44	ga_ls8c_ard_3-2-1_096074_2021-12-15_final
2021-12-15 09:54:07	ga_ls8c_ard_3-2-1_096075_2021-12-15_final
2021-12-15 09:54:31	ga_ls8c_ard_3-2-1_096076_2021-12-15_final
2021-12-15 09:54:55	ga_ls8c_ard_3-2-1_096077_2021-12-15_final
2021-12-15 09:55:19	ga_ls8c_ard_3-2-1_096078_2021-12-15_final
2021-12-15 09:55:43	ga_ls8c_ard_3-2-1_096079_2021-12-15_final
2021-12-17 09:44:33	ga_ls8c_ard_3-2-1_094082_2021-12-17_final
2021-12-17 09:44:57	ga_ls8c_ard_3-2-1_094083_2021-12-17_final
2021-12-17 09:45:21	ga_ls8c_ard_3-2-1_094084_2021-12-17_final
2021-12-17 09:45:45	ga_ls8c_ard_3-2-1_094085_2021-12-17_final
2021-12-17 09:46:09	ga_ls8c_ard_3-2-1_094086_2021-12-17_final
2021-12-17 09:46:33	ga_ls8c_ard_3-2-1_094087_2021-12-17_final
2021-12-19 09:34:59	ga_ls8c_ard_3-2-1_092089_2021-12-19_final
2021-12-19 09:35:23	ga_ls8c_ard_3-2-1_092090_2021-12-19_final
2021-12-22 09:57:29	ga_ls8c_ard_3-2-1_097068_2021-12-22_final
2021-12-22 09:57:53	ga_ls8c_ard_3-2-1_097069_2021-12-22_final
2021-12-22 09:58:17	ga_ls8c_ard_3-2-1_097070_2021-12-22_final
2021-12-22 09:58:41	ga_ls8c_ard_3-2-1_097071_2021-12-22_final
2021-12-22 09:59:05	ga_ls8c_ard_3-2-1_097072_2021-12-22_final
2021-12-22 09:59:29	ga_ls8c_ard_3-2-1_097073_2021-12-22_final
2021-12-22 09:59:53	ga_ls8c_ard_3-2-1_097074_2021-12-22_final
2021-12-24 09:49:06	ga_ls8c_ard_3-2-1_095078_2021-12-24_final
2021-12-24 09:49:30	ga_ls8c_ard_3-2-1_095079_2021-12-24_final
2021-12-24 09:49:54	ga_ls8c_ard_3-2-1_095080_2021-12-24_final
2021-12-24 09:50:18	ga_ls8c_ard_3-2-1_095081_2021-12-24_final
2021-12-24 09:50:42	ga_ls8c_ard_3-2-1_095082_2021-12-24_final
2021-12-24 09:51:06	ga_ls8c_ard_3-2-1_095083_2021-12-24_final
2021-12-26 09:39:31	ga_ls8c_ard_3-2-1_093085_2021-12-26_final
2021-12-26 09:39:55	ga_ls8c_ard_3-2-1_093086_2021-12-26_final
2021-12-26 09:40:19	ga_ls8c_ard_3-2-1_093087_2021-12-26_final
2021-12-26 09:40:43	ga_ls8c_ard_3-2-1_093088_2021-12-26_final
2022-01-07 09:57:25	ga_ls8c_ard_3-2-1_097068_2022-01-07_final
2022-01-07 09:57:49	ga_ls8c_ard_3-2-1_097069_2022-01-07_final
2022-01-07 09:58:13	ga_ls8c_ard_3-2-1_097070_2022-01-07_final
2022-01-07 09:58:36	ga_ls8c_ard_3-2-1_097071_2022-01-07_final
2022-01-07 09:59:00	ga_ls8c_ard_3-2-1_097072_2022-01-07_final
2022-01-07 09:59:24	ga_ls8c_ard_3-2-1_097073_2022-01-07_final
2022-01-07 09:59:48	ga_ls8c_ard_3-2-1_097074_2022-01-07_final
2022-01-09 09:49:02	ga_ls8c_ard_3-2-1_095078_2022-01-09_final
2022-01-09 09:49:26	ga_ls8c_ard_3-2-1_095079_2022-01-09_final
2022-01-09 09:49:50	ga_ls8c_ard_3-2-1_095080_2022-01-09_final
2022-01-09 09:50:14	ga_ls8c_ard_3-2-1_095081_2022-01-09_final
2022-01-09 09:50:38	ga_ls8c_ard_3-2-1_095082_2022-01-09_final
2022-01-09 09:51:02	ga_ls8c_ard_3-2-1_095083_2022-01-09_final
2022-10-13 10:03:27	ga_ls8c_ard_3-2-1_098067_2022-10-13_final
2022-10-13 10:03:51	ga_ls8c_ard_3-2-1_098068_2022-10-13_final
2022-10-13 10:04:15	ga_ls8c_ard_3-2-1_098069_2022-10-13_final
2022-10-15 09:53:29	ga_ls8c_ard_3-2-1_096073_2022-10-15_final
2022-10-15 09:53:53	ga_ls8c_ard_3-2-1_096074_2022-10-15_final
2022-10-15 09:54:17	ga_ls8c_ard_3-2-1_096075_2022-10-15_final
2022-10-15 09:54:41	ga_ls8c_ard_3-2-1_096076_2022-10-15_final
2022-10-15 09:55:05	ga_ls8c_ard_3-2-1_096077_2022-10-15_final
2022-10-15 09:55:29	ga_ls8c_ard_3-2-1_096078_2022-10-15_final
2022-10-15 09:55:53	ga_ls8c_ard_3-2-1_096079_2022-10-15_final
2022-10-19 09:35:12	ga_ls8c_ard_3-2-1_092089_2022-10-19_final
2022-10-19 09:35:36	ga_ls8c_ard_3-2-1_092090_2022-10-19_final
2022-10-26 09:39:51	ga_ls8c_ard_3-2-1_093085_2022-10-26_final
2022-10-26 09:40:15	ga_ls8c_ard_3-2-1_093086_2022-10-26_final
2022-10-26 09:40:39	ga_ls8c_ard_3-2-1_093087_2022-10-26_final
2022-10-26 09:41:03	ga_ls8c_ard_3-2-1_093088_2022-10-26_final
2022-11-07 09:57:48	ga_ls8c_ard_3-2-1_097068_2022-11-07_final
2022-11-07 09:58:12	ga_ls8c_ard_3-2-1_097069_2022-11-07_final
2022-11-07 09:58:36	ga_ls8c_ard_3-2-1_097070_2022-11-07_final
2022-11-07 09:59:00	ga_ls8c_ard_3-2-1_097071_2022-11-07_final
2022-11-07 09:59:24	ga_ls8c_ard_3-2-1_097072_2022-11-07_final
2022-11-07 09:59:48	ga_ls8c_ard_3-2-1_097073_2022-11-07_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