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
2014-12-12 09:53:27	ga_ls8c_ard_3-0-0_096074_2014-12-12_final
2014-12-12 09:53:51	ga_ls8c_ard_3-0-0_096075_2014-12-12_final
2014-12-12 09:54:15	ga_ls8c_ard_3-0-0_096076_2014-12-12_final
2014-12-12 09:54:39	ga_ls8c_ard_3-0-0_096077_2014-12-12_final
2014-12-12 09:55:03	ga_ls8c_ard_3-0-0_096078_2014-12-12_final
2014-12-12 09:55:27	ga_ls8c_ard_3-0-0_096079_2014-12-12_final
2014-12-12 09:55:51	ga_ls8c_ard_3-0-0_096080_2014-12-12_final
2015-02-12 10:02:47	ga_ls8c_ard_3-0-0_098067_2015-02-12_final
2015-02-12 10:03:11	ga_ls8c_ard_3-0-0_098068_2015-02-12_final
2015-02-12 10:03:35	ga_ls8c_ard_3-0-0_098069_2015-02-12_final
2015-02-12 10:03:59	ga_ls8c_ard_3-0-0_098070_2015-02-12_final
2015-02-14 09:54:47	ga_ls8c_ard_3-0-0_096078_2015-02-14_final
2015-02-14 09:55:11	ga_ls8c_ard_3-0-0_096079_2015-02-14_final
2015-02-14 09:55:34	ga_ls8c_ard_3-0-0_096080_2015-02-14_final
2015-02-16 09:44:01	ga_ls8c_ard_3-0-0_094082_2015-02-16_final
2015-02-16 09:44:25	ga_ls8c_ard_3-0-0_094083_2015-02-16_final
2015-02-16 09:44:49	ga_ls8c_ard_3-0-0_094084_2015-02-16_final
2015-02-16 09:45:13	ga_ls8c_ard_3-0-0_094085_2015-02-16_final
2015-02-16 09:45:37	ga_ls8c_ard_3-0-0_094086_2015-02-16_final
2015-02-16 09:46:01	ga_ls8c_ard_3-0-0_094087_2015-02-16_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
2019-11-06 10:02:56	ga_ls8c_ard_3-2-1_098066_2019-11-06_final
2019-11-06 10:03:20	ga_ls8c_ard_3-1-0_098067_2019-11-06_final
2019-11-06 10:03:44	ga_ls8c_ard_3-1-0_098068_2019-11-06_final
2019-11-06 10:04:08	ga_ls8c_ard_3-1-0_098069_2019-11-06_final
2019-11-06 10:04:31	ga_ls8c_ard_3-1-0_098070_2019-11-06_final
2019-11-22 10:02:52	ga_ls8c_ard_3-2-1_098066_2019-11-22_final
2019-11-22 10:03:16	ga_ls8c_ard_3-1-0_098067_2019-11-22_final
2019-11-22 10:03:40	ga_ls8c_ard_3-1-0_098068_2019-11-22_final
2019-11-22 10:04:04	ga_ls8c_ard_3-1-0_098069_2019-11-22_final
2019-11-22 10:04:28	ga_ls8c_ard_3-1-0_098070_2019-11-22_final
2019-11-24 09:53:42	ga_ls8c_ard_3-1-0_096074_2019-11-24_final
2019-11-24 09:54:06	ga_ls8c_ard_3-1-0_096075_2019-11-24_final
2019-11-24 09:54:30	ga_ls8c_ard_3-1-0_096076_2019-11-24_final
2019-11-24 09:54:54	ga_ls8c_ard_3-1-0_096077_2019-11-24_final
2019-11-24 09:55:18	ga_ls8c_ard_3-1-0_096078_2019-11-24_final
2019-11-24 09:55:42	ga_ls8c_ard_3-1-0_096079_2019-11-24_final
2019-11-24 09:56:06	ga_ls8c_ard_3-1-0_096080_2019-11-24_final
2019-11-26 09:44:32	ga_ls8c_ard_3-1-0_094082_2019-11-26_final
2019-11-26 09:44:56	ga_ls8c_ard_3-1-0_094083_2019-11-26_final
2019-11-26 09:45:20	ga_ls8c_ard_3-1-0_094084_2019-11-26_final
2019-11-26 09:45:44	ga_ls8c_ard_3-1-0_094085_2019-11-26_final
2019-11-26 09:46:08	ga_ls8c_ard_3-1-0_094086_2019-11-26_final
2019-11-26 09:46:32	ga_ls8c_ard_3-1-0_094087_2019-11-26_final
2019-11-26 09:46:56	ga_ls8c_ard_3-1-0_094088_2019-11-26_final
2019-12-12 09:44:31	ga_ls8c_ard_3-1-0_094082_2019-12-12_final
2019-12-12 09:44:55	ga_ls8c_ard_3-1-0_094083_2019-12-12_final
2019-12-12 09:45:19	ga_ls8c_ard_3-1-0_094084_2019-12-12_final
2019-12-12 09:45:43	ga_ls8c_ard_3-1-0_094085_2019-12-12_final
2019-12-12 09:46:07	ga_ls8c_ard_3-1-0_094086_2019-12-12_final
2019-12-12 09:46:31	ga_ls8c_ard_3-1-0_094087_2019-12-12_final
2019-12-12 09:46:55	ga_ls8c_ard_3-1-0_094088_2019-12-12_final
2019-12-14 09:34:57	ga_ls8c_ard_3-2-0_092089_2019-12-14_final
2019-12-14 09:35:21	ga_ls8c_ard_3-2-0_092090_2019-12-14_final
2019-12-19 09:49:05	ga_ls8c_ard_3-2-0_095078_2019-12-19_final
2019-12-19 09:49:29	ga_ls8c_ard_3-2-0_095079_2019-12-19_final
2019-12-19 09:49:53	ga_ls8c_ard_3-2-0_095080_2019-12-19_final
2019-12-19 09:50:17	ga_ls8c_ard_3-2-0_095081_2019-12-19_final
2019-12-19 09:50:41	ga_ls8c_ard_3-2-0_095082_2019-12-19_final
2019-12-19 09:51:05	ga_ls8c_ard_3-2-0_095083_2019-12-19_final
2019-12-19 09:51:28	ga_ls8c_ard_3-2-0_095084_2019-12-19_final
2019-12-24 10:02:49	ga_ls8c_ard_3-2-1_098066_2019-12-24_final
2019-12-24 10:03:13	ga_ls8c_ard_3-1-0_098067_2019-12-24_final
2019-12-24 10:03:37	ga_ls8c_ard_3-1-0_098068_2019-12-24_final
2019-12-24 10:04:01	ga_ls8c_ard_3-1-0_098069_2019-12-24_final
2019-12-24 10:04:24	ga_ls8c_ard_3-1-0_098070_2019-12-24_final
2019-12-26 09:53:38	ga_ls8c_ard_3-1-0_096074_2019-12-26_final
2019-12-26 09:54:02	ga_ls8c_ard_3-1-0_096075_2019-12-26_final
2019-12-26 09:54:26	ga_ls8c_ard_3-1-0_096076_2019-12-26_final
2019-12-26 09:54:50	ga_ls8c_ard_3-1-0_096077_2019-12-26_final
2019-12-26 09:55:14	ga_ls8c_ard_3-1-0_096078_2019-12-26_final
2019-12-26 09:55:38	ga_ls8c_ard_3-1-0_096079_2019-12-26_final
2019-12-26 09:56:02	ga_ls8c_ard_3-1-0_096080_2019-12-26_final
2020-01-09 10:02:45	ga_ls8c_ard_3-2-1_098066_2020-01-09_final
2020-01-09 10:03:09	ga_ls8c_ard_3-1-0_098067_2020-01-09_final
2020-01-09 10:03:33	ga_ls8c_ard_3-1-0_098068_2020-01-09_final
2020-01-09 10:03:57	ga_ls8c_ard_3-1-0_098069_2020-01-09_final
2020-01-09 10:04:20	ga_ls8c_ard_3-1-0_098070_2020-01-09_final
2020-01-13 09:44:24	ga_ls8c_ard_3-1-0_094082_2020-01-13_final
2020-01-13 09:44:48	ga_ls8c_ard_3-1-0_094083_2020-01-13_final
2020-01-13 09:45:12	ga_ls8c_ard_3-1-0_094084_2020-01-13_final
2020-01-13 09:45:36	ga_ls8c_ard_3-1-0_094085_2020-01-13_final
2020-01-13 09:46:00	ga_ls8c_ard_3-1-0_094086_2020-01-13_final
2020-01-13 09:46:24	ga_ls8c_ard_3-1-0_094087_2020-01-13_final
2020-01-13 09:46:48	ga_ls8c_ard_3-1-0_094088_2020-01-13_final
2020-01-25 10:02:41	ga_ls8c_ard_3-2-1_098066_2020-01-25_final
2020-01-25 10:03:05	ga_ls8c_ard_3-1-0_098067_2020-01-25_final
2020-01-25 10:03:29	ga_ls8c_ard_3-1-0_098068_2020-01-25_final
2020-01-25 10:03:53	ga_ls8c_ard_3-1-0_098069_2020-01-25_final
2020-01-25 10:04:17	ga_ls8c_ard_3-1-0_098070_2020-01-25_final
2024-02-09 09:46:19	ga_ls8c_ard_3-2-1_094087_2024-02-09_final
2024-02-14 09:57:39	ga_ls8c_ard_3-2-1_097069_2024-02-14_final
2024-02-14 09:58:03	ga_ls8c_ard_3-2-1_097070_2024-02-14_final
2024-02-14 09:58:27	ga_ls8c_ard_3-2-1_097071_2024-02-14_final
2024-02-14 09:58:50	ga_ls8c_ard_3-2-1_097072_2024-02-14_final
2024-02-14 09:59:14	ga_ls8c_ard_3-2-1_097073_2024-02-14_final
2024-02-14 09:59:38	ga_ls8c_ard_3-2-1_097074_2024-02-14_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