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
2016-01-02 09:43:55	ga_ls8c_ard_3-0-0_094081_2016-01-02_final
2016-01-02 09:44:19	ga_ls8c_ard_3-0-0_094082_2016-01-02_final
2016-01-02 09:44:43	ga_ls8c_ard_3-0-0_094083_2016-01-02_final
2016-01-23 09:57:15	ga_ls8c_ard_3-0-0_097068_2016-01-23_final
2016-01-23 09:57:39	ga_ls8c_ard_3-0-0_097069_2016-01-23_final
2016-01-23 09:58:03	ga_ls8c_ard_3-0-0_097070_2016-01-23_final
2016-01-23 09:58:27	ga_ls8c_ard_3-0-0_097071_2016-01-23_final
2016-01-23 09:58:51	ga_ls8c_ard_3-0-0_097072_2016-01-23_final
2016-01-23 09:59:15	ga_ls8c_ard_3-0-0_097073_2016-01-23_final
2016-01-23 09:59:39	ga_ls8c_ard_3-0-0_097074_2016-01-23_final
2016-03-13 09:48:15	ga_ls8c_ard_3-0-0_095077_2016-03-13_final
2016-03-13 09:48:39	ga_ls8c_ard_3-0-0_095078_2016-03-13_final
2016-03-13 09:49:03	ga_ls8c_ard_3-0-0_095079_2016-03-13_final
2016-03-13 09:49:26	ga_ls8c_ard_3-0-0_095080_2016-03-13_final
2016-03-13 09:49:50	ga_ls8c_ard_3-0-0_095081_2016-03-13_final
2016-03-13 09:50:14	ga_ls8c_ard_3-0-0_095082_2016-03-13_final
2016-03-13 09:50:38	ga_ls8c_ard_3-0-0_095083_2016-03-13_final
2016-03-15 09:39:04	ga_ls8c_ard_3-0-0_093085_2016-03-15_final
2016-03-15 09:39:28	ga_ls8c_ard_3-0-0_093086_2016-03-15_final
2016-03-15 09:39:52	ga_ls8c_ard_3-0-0_093087_2016-03-15_final
2016-03-15 09:40:16	ga_ls8c_ard_3-0-0_093088_2016-03-15_final
2016-04-21 09:52:31	ga_ls8c_ard_3-0-0_096073_2016-04-21_final
2016-04-21 09:52:55	ga_ls8c_ard_3-0-0_096074_2016-04-21_final
2016-04-21 09:53:19	ga_ls8c_ard_3-0-0_096075_2016-04-21_final
2016-04-21 09:53:43	ga_ls8c_ard_3-0-0_096076_2016-04-21_final
2016-04-21 09:54:07	ga_ls8c_ard_3-0-0_096077_2016-04-21_final
2016-04-21 09:54:31	ga_ls8c_ard_3-0-0_096078_2016-04-21_final
2016-04-21 09:54:55	ga_ls8c_ard_3-0-0_096079_2016-04-21_final
2016-04-23 09:43:20	ga_ls8c_ard_3-0-0_094081_2016-04-23_final
2016-04-23 09:43:44	ga_ls8c_ard_3-0-0_094082_2016-04-23_final
2016-04-23 09:44:08	ga_ls8c_ard_3-0-0_094083_2016-04-23_final
2016-04-23 09:44:32	ga_ls8c_ard_3-0-0_094084_2016-04-23_final
2016-04-23 09:44:56	ga_ls8c_ard_3-0-0_094085_2016-04-23_final
2016-04-23 09:45:20	ga_ls8c_ard_3-0-0_094086_2016-04-23_final
2016-04-23 09:45:44	ga_ls8c_ard_3-0-0_094087_2016-04-23_final
2016-08-18 09:57:15	ga_ls8c_ard_3-0-0_097068_2016-08-18_final
2016-08-18 09:57:39	ga_ls8c_ard_3-0-0_097069_2016-08-18_final
2016-08-18 09:58:03	ga_ls8c_ard_3-0-0_097070_2016-08-18_final
2016-08-18 09:58:27	ga_ls8c_ard_3-0-0_097071_2016-08-18_final
2016-08-18 09:58:51	ga_ls8c_ard_3-0-0_097072_2016-08-18_final
2016-08-18 09:59:15	ga_ls8c_ard_3-0-0_097073_2016-08-18_final
2016-08-18 09:59:39	ga_ls8c_ard_3-0-0_097074_2016-08-18_final
2016-08-20 09:48:30	ga_ls8c_ard_3-0-0_095077_2016-08-20_final
2016-08-20 09:48:54	ga_ls8c_ard_3-0-0_095078_2016-08-20_final
2016-08-20 09:49:18	ga_ls8c_ard_3-0-0_095079_2016-08-20_final
2016-08-20 09:49:42	ga_ls8c_ard_3-0-0_095080_2016-08-20_final
2016-08-20 09:50:06	ga_ls8c_ard_3-0-0_095081_2016-08-20_final
2016-08-20 09:50:30	ga_ls8c_ard_3-0-0_095082_2016-08-20_final
2016-08-20 09:50:54	ga_ls8c_ard_3-0-0_095083_2016-08-20_final
2016-08-22 09:39:21	ga_ls8c_ard_3-0-0_093085_2016-08-22_final
2016-08-22 09:39:45	ga_ls8c_ard_3-0-0_093086_2016-08-22_final
2016-08-22 09:40:09	ga_ls8c_ard_3-0-0_093087_2016-08-22_final
2016-08-22 09:40:33	ga_ls8c_ard_3-0-0_093088_2016-08-22_final
2016-09-05 09:48:36	ga_ls8c_ard_3-0-0_095077_2016-09-05_final
2016-09-05 09:49:00	ga_ls8c_ard_3-0-0_095078_2016-09-05_final
2016-09-05 09:49:24	ga_ls8c_ard_3-0-0_095079_2016-09-05_final
2016-09-05 09:49:48	ga_ls8c_ard_3-0-0_095080_2016-09-05_final
2016-09-05 09:50:12	ga_ls8c_ard_3-0-0_095081_2016-09-05_final
2016-09-05 09:50:36	ga_ls8c_ard_3-0-0_095082_2016-09-05_final
2016-09-05 09:51:00	ga_ls8c_ard_3-0-0_095083_2016-09-05_final
2016-09-07 09:39:27	ga_ls8c_ard_3-0-0_093085_2016-09-07_final
2016-09-07 09:39:50	ga_ls8c_ard_3-0-0_093086_2016-09-07_final
2016-09-07 09:40:14	ga_ls8c_ard_3-0-0_093087_2016-09-07_final
2016-09-07 09:40:38	ga_ls8c_ard_3-0-0_093088_2016-09-07_final
2016-10-21 09:57:31	ga_ls8c_ard_3-0-0_097068_2016-10-21_final
2016-10-21 09:57:55	ga_ls8c_ard_3-0-0_097069_2016-10-21_final
2016-10-21 09:58:19	ga_ls8c_ard_3-0-0_097070_2016-10-21_final
2016-10-21 09:58:43	ga_ls8c_ard_3-0-0_097071_2016-10-21_final
2016-10-21 09:59:06	ga_ls8c_ard_3-0-0_097072_2016-10-21_final
2016-10-21 09:59:30	ga_ls8c_ard_3-0-0_097073_2016-10-21_final
2016-10-21 09:59:54	ga_ls8c_ard_3-0-0_097074_2016-10-21_final
2017-11-02 09:53:17	ga_ls8c_ard_3-0-0_096073_2017-11-02_final
2017-11-02 09:53:41	ga_ls8c_ard_3-0-0_096074_2017-11-02_final
2017-11-02 09:54:05	ga_ls8c_ard_3-0-0_096075_2017-11-02_final
2017-11-02 09:54:28	ga_ls8c_ard_3-0-0_096076_2017-11-02_final
2017-11-02 09:54:52	ga_ls8c_ard_3-0-0_096077_2017-11-02_final
2017-11-02 09:55:16	ga_ls8c_ard_3-0-0_096078_2017-11-02_final
2017-11-04 09:44:06	ga_ls8c_ard_3-0-0_094081_2017-11-04_final
2017-11-04 09:44:30	ga_ls8c_ard_3-0-0_094082_2017-11-04_final
2017-11-04 09:44:54	ga_ls8c_ard_3-0-0_094083_2017-11-04_final
2017-11-04 09:45:18	ga_ls8c_ard_3-0-0_094084_2017-11-04_final
2017-11-04 09:45:42	ga_ls8c_ard_3-0-0_094085_2017-11-04_final
2017-11-04 09:46:06	ga_ls8c_ard_3-0-0_094086_2017-11-04_final
2017-11-04 09:46:30	ga_ls8c_ard_3-0-0_094087_2017-11-04_final
2018-01-05 09:53:07	ga_ls8c_ard_3-0-0_096073_2018-01-05_final
2018-01-05 09:53:31	ga_ls8c_ard_3-0-0_096074_2018-01-05_final
2018-01-05 09:53:55	ga_ls8c_ard_3-0-0_096075_2018-01-05_final
2018-01-05 09:54:18	ga_ls8c_ard_3-0-0_096076_2018-01-05_final
2018-01-05 09:54:42	ga_ls8c_ard_3-0-0_096077_2018-01-05_final
2018-01-05 09:55:06	ga_ls8c_ard_3-0-0_096078_2018-01-05_final
2018-01-05 09:55:30	ga_ls8c_ard_3-0-0_096079_2018-01-05_final
2018-01-07 09:43:56	ga_ls8c_ard_3-0-0_094081_2018-01-07_final
2018-01-07 09:44:20	ga_ls8c_ard_3-0-0_094082_2018-01-07_final
2018-01-07 09:44:44	ga_ls8c_ard_3-1-0_094083_2018-01-07_final
2018-01-07 09:45:08	ga_ls8c_ard_3-0-0_094084_2018-01-07_final
2018-01-07 09:45:32	ga_ls8c_ard_3-0-0_094085_2018-01-07_final
2018-01-07 09:45:55	ga_ls8c_ard_3-0-0_094086_2018-01-07_final
2018-01-07 09:46:19	ga_ls8c_ard_3-0-0_094087_2018-01-07_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

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