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
2018-02-04 10:02:49	ga_ls8c_ard_3-0-0_098067_2018-02-04_final
2018-02-04 10:03:13	ga_ls8c_ard_3-0-0_098068_2018-02-04_final
2018-02-04 10:03:37	ga_ls8c_ard_3-0-0_098069_2018-02-04_final
2018-02-04 10:04:01	ga_ls8c_ard_3-0-0_098070_2018-02-04_final
2018-02-20 10:02:43	ga_ls8c_ard_3-0-0_098067_2018-02-20_final
2018-02-20 10:03:07	ga_ls8c_ard_3-0-0_098068_2018-02-20_final
2018-02-20 10:03:31	ga_ls8c_ard_3-0-0_098069_2018-02-20_final
2018-02-20 10:03:55	ga_ls8c_ard_3-0-0_098070_2018-02-20_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
2019-01-06 10:04:01	ga_ls8c_ard_3-0-0_098070_2019-01-06_final
2019-01-22 10:02:45	ga_ls8c_ard_3-0-0_098067_2019-01-22_final
2019-01-22 10:03:09	ga_ls8c_ard_3-0-0_098068_2019-01-22_final
2019-01-22 10:03:33	ga_ls8c_ard_3-0-0_098069_2019-01-22_final
2019-01-22 10:03:57	ga_ls8c_ard_3-0-0_098070_2019-01-22_final
2019-01-24 09:53:11	ga_ls8c_ard_3-0-0_096074_2019-01-24_final
2019-01-24 09:53:35	ga_ls8c_ard_3-0-0_096075_2019-01-24_final
2019-01-24 09:53:59	ga_ls8c_ard_3-0-0_096076_2019-01-24_final
2019-01-24 09:54:22	ga_ls8c_ard_3-0-0_096077_2019-01-24_final
2019-01-24 09:54:46	ga_ls8c_ard_3-0-0_096078_2019-01-24_final
2019-01-24 09:55:10	ga_ls8c_ard_3-0-0_096079_2019-01-24_final
2019-01-24 09:55:34	ga_ls8c_ard_3-0-0_096080_2019-01-24_final
2019-02-07 10:02:43	ga_ls8c_ard_3-0-0_098067_2019-02-07_final
2019-02-07 10:03:07	ga_ls8c_ard_3-0-0_098068_2019-02-07_final
2019-02-07 10:03:30	ga_ls8c_ard_3-0-0_098069_2019-02-07_final
2019-02-07 10:03:54	ga_ls8c_ard_3-0-0_098070_2019-02-07_final
2019-02-09 09:53:08	ga_ls8c_ard_3-0-0_096074_2019-02-09_final
2019-02-09 09:53:32	ga_ls8c_ard_3-0-0_096075_2019-02-09_final
2019-02-09 09:53:56	ga_ls8c_ard_3-0-0_096076_2019-02-09_final
2019-02-09 09:54:20	ga_ls8c_ard_3-0-0_096077_2019-02-09_final
2019-02-09 09:54:44	ga_ls8c_ard_3-0-0_096078_2019-02-09_final
2019-02-09 09:55:08	ga_ls8c_ard_3-0-0_096079_2019-02-09_final
2019-02-09 09:55:32	ga_ls8c_ard_3-0-0_096080_2019-02-09_final
2019-03-13 09:52:59	ga_ls8c_ard_3-1-0_096074_2019-03-13_final
2019-03-13 09:53:23	ga_ls8c_ard_3-1-0_096075_2019-03-13_final
2019-03-13 09:53:47	ga_ls8c_ard_3-1-0_096076_2019-03-13_final
2019-03-13 09:54:11	ga_ls8c_ard_3-1-0_096077_2019-03-13_final
2019-03-13 09:54:35	ga_ls8c_ard_3-1-0_096078_2019-03-13_final
2019-03-13 09:54:59	ga_ls8c_ard_3-1-0_096079_2019-03-13_final
2019-03-13 09:55:23	ga_ls8c_ard_3-1-0_096080_2019-03-13_final
2019-03-20 09:57:33	ga_ls8c_ard_3-1-0_097070_2019-03-20_final
2019-03-20 09:57:57	ga_ls8c_ard_3-1-0_097071_2019-03-20_final
2019-03-20 09:58:21	ga_ls8c_ard_3-1-0_097072_2019-03-20_final
2019-03-20 09:58:45	ga_ls8c_ard_3-1-0_097073_2019-03-20_final
2019-03-20 09:59:09	ga_ls8c_ard_3-1-0_097074_2019-03-20_final
2019-03-20 09:59:33	ga_ls8c_ard_3-1-0_097075_2019-03-20_final
2019-04-05 09:57:29	ga_ls8c_ard_3-1-0_097070_2019-04-05_final
2019-04-05 09:57:53	ga_ls8c_ard_3-1-0_097071_2019-04-05_final
2019-04-05 09:58:17	ga_ls8c_ard_3-1-0_097072_2019-04-05_final
2019-04-05 09:58:41	ga_ls8c_ard_3-1-0_097073_2019-04-05_final
2019-04-05 09:59:05	ga_ls8c_ard_3-1-0_097074_2019-04-05_final
2019-04-05 09:59:29	ga_ls8c_ard_3-1-0_097075_2019-04-05_final
2019-04-28 10:02:21	ga_ls8c_ard_3-0-0_098067_2019-04-28_final
2019-04-28 10:02:45	ga_ls8c_ard_3-0-0_098068_2019-04-28_final
2019-04-28 10:03:09	ga_ls8c_ard_3-0-0_098069_2019-04-28_final
2019-04-28 10:03:33	ga_ls8c_ard_3-0-0_098070_2019-04-28_final
2019-04-30 09:52:48	ga_ls8c_ard_3-0-0_096074_2019-04-30_final
2019-04-30 09:53:12	ga_ls8c_ard_3-0-0_096075_2019-04-30_final
2019-04-30 09:53:36	ga_ls8c_ard_3-0-0_096076_2019-04-30_final
2019-05-07 09:57:27	ga_ls8c_ard_3-0-0_097070_2019-05-07_final
2019-05-07 09:57:51	ga_ls8c_ard_3-0-0_097071_2019-05-07_final
2019-05-07 09:58:15	ga_ls8c_ard_3-0-0_097072_2019-05-07_final
2019-05-07 09:58:39	ga_ls8c_ard_3-0-0_097073_2019-05-07_final
2019-05-07 09:59:02	ga_ls8c_ard_3-0-0_097074_2019-05-07_final
2019-05-07 09:59:26	ga_ls8c_ard_3-0-0_097075_2019-05-07_final
2019-05-09 09:48:18	ga_ls8c_ard_3-0-0_095078_2019-05-09_final
2019-05-09 09:48:42	ga_ls8c_ard_3-0-0_095079_2019-05-09_final
2019-05-09 09:49:06	ga_ls8c_ard_3-0-0_095080_2019-05-09_final
2019-05-09 09:49:30	ga_ls8c_ard_3-0-0_095081_2019-05-09_final
2019-05-09 09:49:54	ga_ls8c_ard_3-0-0_095082_2019-05-09_final
2019-05-09 09:50:18	ga_ls8c_ard_3-0-0_095083_2019-05-09_final
2019-05-09 09:50:42	ga_ls8c_ard_3-0-0_095084_2019-05-09_final
2019-05-11 09:39:09	ga_ls8c_ard_3-0-0_093086_2019-05-11_final
2019-05-11 09:39:33	ga_ls8c_ard_3-0-0_093087_2019-05-11_final
2019-05-11 09:39:57	ga_ls8c_ard_3-0-0_093088_2019-05-11_final
2024-01-31 09:48:51	ga_ls8c_ard_3-2-1_095078_2024-01-31_final
2024-01-31 09:49:15	ga_ls8c_ard_3-2-1_095079_2024-01-31_final
2024-01-31 09:49:39	ga_ls8c_ard_3-2-1_095080_2024-01-31_final
2024-01-31 09:50:03	ga_ls8c_ard_3-2-1_095081_2024-01-31_final
2024-01-31 09:50:27	ga_ls8c_ard_3-2-1_095082_2024-01-31_final
2024-01-31 09:50:51	ga_ls8c_ard_3-2-1_095083_2024-01-31_final
2024-01-31 09:51:15	ga_ls8c_ard_3-2-1_095084_2024-01-31_final
2024-03-05 09:39:32	ga_ls8c_ard_3-2-1_093086_2024-03-05_final
2024-03-05 09:39:56	ga_ls8c_ard_3-2-1_093087_2024-03-05_final
2024-03-05 09:40:20	ga_ls8c_ard_3-2-1_093088_2024-03-05_final
2024-05-22 09:48:17	ga_ls8c_ard_3-2-1_095079_2024-05-22_nrt
2024-05-22 09:48:41	ga_ls8c_ard_3-2-1_095080_2024-05-22_final
2024-05-22 09:49:05	ga_ls8c_ard_3-2-1_095081_2024-05-22_final
2024-05-22 09:49:29	ga_ls8c_ard_3-2-1_095082_2024-05-22_final
2024-05-22 09:49:53	ga_ls8c_ard_3-2-1_095083_2024-05-22_final
2024-05-22 09:50:17	ga_ls8c_ard_3-2-1_095084_2024-05-22_final
2024-05-24 09:38:42	ga_ls8c_ard_3-2-1_093086_2024-05-24_final
2024-05-24 09:39:06	ga_ls8c_ard_3-2-1_093087_2024-05-24_final
2024-05-24 09:39:29	ga_ls8c_ard_3-2-1_093088_2024-05-24_final
2024-05-29 09:52:25	ga_ls8c_ard_3-2-1_096074_2024-05-29_nrt
2024-05-29 09:52:49	ga_ls8c_ard_3-2-1_096075_2024-05-29_nrt
2024-05-29 09:53:37	ga_ls8c_ard_3-2-1_096077_2024-05-29_nrt
2024-05-29 09:54:01	ga_ls8c_ard_3-2-1_096078_2024-05-29_nrt
2024-05-29 09:54:25	ga_ls8c_ard_3-2-1_096079_2024-05-29_nrt

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