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
2015-01-04 09:58:24	ga_ls8c_ard_3-0-0_097071_2015-01-04_final
2015-01-04 09:58:48	ga_ls8c_ard_3-0-0_097072_2015-01-04_final
2015-01-04 09:59:12	ga_ls8c_ard_3-0-0_097073_2015-01-04_final
2015-01-04 09:59:36	ga_ls8c_ard_3-0-0_097074_2015-01-04_final
2015-01-04 10:00:00	ga_ls8c_ard_3-0-0_097075_2015-01-04_final
2015-01-04 10:00:24	ga_ls8c_ard_3-0-0_097076_2015-01-04_final
2015-01-06 09:49:15	ga_ls8c_ard_3-0-0_095079_2015-01-06_final
2015-01-06 09:49:39	ga_ls8c_ard_3-0-0_095080_2015-01-06_final
2015-01-06 09:50:03	ga_ls8c_ard_3-0-0_095081_2015-01-06_final
2015-01-06 09:50:27	ga_ls8c_ard_3-0-0_095082_2015-01-06_final
2015-01-06 09:50:50	ga_ls8c_ard_3-0-0_095083_2015-01-06_final
2015-01-06 09:51:14	ga_ls8c_ard_3-0-0_095084_2015-01-06_final
2015-01-06 09:51:38	ga_ls8c_ard_3-0-0_095085_2015-01-06_final
2015-03-11 09:48:50	ga_ls8c_ard_3-0-0_095079_2015-03-11_final
2015-03-11 09:49:14	ga_ls8c_ard_3-0-0_095080_2015-03-11_final
2015-03-11 09:49:38	ga_ls8c_ard_3-0-0_095081_2015-03-11_final
2015-03-11 09:50:02	ga_ls8c_ard_3-0-0_095082_2015-03-11_final
2015-03-11 09:50:26	ga_ls8c_ard_3-0-0_095083_2015-03-11_final
2015-03-11 09:50:50	ga_ls8c_ard_3-0-0_095084_2015-03-11_final
2015-03-11 09:51:14	ga_ls8c_ard_3-0-0_095085_2015-03-11_final
2015-03-27 09:48:42	ga_ls8c_ard_3-0-0_095079_2015-03-27_final
2015-03-27 09:49:06	ga_ls8c_ard_3-0-0_095080_2015-03-27_final
2015-03-27 09:49:30	ga_ls8c_ard_3-0-0_095081_2015-03-27_final
2015-03-27 09:49:53	ga_ls8c_ard_3-0-0_095082_2015-03-27_final
2015-03-27 09:50:17	ga_ls8c_ard_3-0-0_095083_2015-03-27_final
2015-03-27 09:50:41	ga_ls8c_ard_3-0-0_095084_2015-03-27_final
2015-03-27 09:51:05	ga_ls8c_ard_3-0-0_095085_2015-03-27_final
2016-11-20 10:09:04	ga_ls8c_ard_3-2-1_099066_2016-11-20_final
2016-11-22 09:58:18	ga_ls8c_ard_3-1-0_097070_2016-11-22_final
2016-11-22 09:58:42	ga_ls8c_ard_3-0-0_097071_2016-11-22_final
2016-11-22 09:59:06	ga_ls8c_ard_3-0-0_097072_2016-11-22_final
2016-11-22 09:59:30	ga_ls8c_ard_3-0-0_097073_2016-11-22_final
2016-11-22 09:59:54	ga_ls8c_ard_3-0-0_097074_2016-11-22_final
2016-11-22 10:00:18	ga_ls8c_ard_3-0-0_097075_2016-11-22_final
2016-11-22 10:00:42	ga_ls8c_ard_3-0-0_097076_2016-11-22_final
2016-12-08 09:58:40	ga_ls8c_ard_3-0-0_097071_2016-12-08_final
2016-12-08 09:59:04	ga_ls8c_ard_3-0-0_097072_2016-12-08_final
2016-12-08 09:59:28	ga_ls8c_ard_3-0-0_097073_2016-12-08_final
2016-12-08 09:59:52	ga_ls8c_ard_3-0-0_097074_2016-12-08_final
2016-12-08 10:00:16	ga_ls8c_ard_3-0-0_097075_2016-12-08_final
2016-12-08 10:00:40	ga_ls8c_ard_3-0-0_097076_2016-12-08_final
2016-12-10 09:49:30	ga_ls8c_ard_3-0-0_095079_2016-12-10_final
2016-12-10 09:49:54	ga_ls8c_ard_3-0-0_095080_2016-12-10_final
2016-12-10 09:50:18	ga_ls8c_ard_3-0-0_095081_2016-12-10_final
2016-12-10 09:50:42	ga_ls8c_ard_3-0-0_095082_2016-12-10_final
2016-12-10 09:51:05	ga_ls8c_ard_3-0-0_095083_2016-12-10_final
2016-12-10 09:51:29	ga_ls8c_ard_3-0-0_095084_2016-12-10_final
2016-12-10 09:51:53	ga_ls8c_ard_3-0-0_095085_2016-12-10_final
2017-10-21 09:35:21	ga_ls8c_ard_3-0-0_092090_2017-10-21_final
2017-12-22 09:44:49	ga_ls8c_ard_3-1-0_094083_2017-12-22_final
2017-12-22 09:45:13	ga_ls8c_ard_3-0-0_094084_2017-12-22_final
2017-12-22 09:45:37	ga_ls8c_ard_3-0-0_094085_2017-12-22_final
2017-12-22 09:46:01	ga_ls8c_ard_3-0-0_094086_2017-12-22_final
2017-12-22 09:46:25	ga_ls8c_ard_3-0-0_094087_2017-12-22_final
2017-12-22 09:46:48	ga_ls8c_ard_3-0-0_094088_2017-12-22_final
2017-12-24 09:35:14	ga_ls8c_ard_3-0-0_092090_2017-12-24_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
2018-02-20 10:04:19	ga_ls8c_ard_3-0-0_098071_2018-02-20_final
2018-02-22 09:53:32	ga_ls8c_ard_3-0-0_096075_2018-02-22_final
2018-02-22 09:53:56	ga_ls8c_ard_3-0-0_096076_2018-02-22_final
2018-02-22 09:54:20	ga_ls8c_ard_3-0-0_096077_2018-02-22_final
2018-02-22 09:54:44	ga_ls8c_ard_3-0-0_096078_2018-02-22_final
2018-02-22 09:55:08	ga_ls8c_ard_3-0-0_096079_2018-02-22_final
2018-02-22 09:55:32	ga_ls8c_ard_3-0-0_096080_2018-02-22_final
2018-02-22 09:55:56	ga_ls8c_ard_3-0-0_096081_2018-02-22_final
2018-02-24 09:44:21	ga_ls8c_ard_3-0-0_094083_2018-02-24_final
2018-02-24 09:44:45	ga_ls8c_ard_3-0-0_094084_2018-02-24_final
2018-02-24 09:45:09	ga_ls8c_ard_3-0-0_094085_2018-02-24_final
2018-02-24 09:45:33	ga_ls8c_ard_3-0-0_094086_2018-02-24_final
2018-02-24 09:45:57	ga_ls8c_ard_3-0-0_094087_2018-02-24_final
2018-02-24 09:46:21	ga_ls8c_ard_3-0-0_094088_2018-02-24_final
2018-02-26 09:34:47	ga_ls8c_ard_3-0-0_092090_2018-02-26_final
2018-04-02 09:57:48	ga_ls8c_ard_3-0-0_097071_2018-04-02_final
2018-04-02 09:58:12	ga_ls8c_ard_3-0-0_097072_2018-04-02_final
2018-04-02 09:58:36	ga_ls8c_ard_3-0-0_097073_2018-04-02_final
2018-04-02 09:59:00	ga_ls8c_ard_3-0-0_097074_2018-04-02_final
2018-04-02 09:59:24	ga_ls8c_ard_3-0-0_097075_2018-04-02_final
2018-04-02 09:59:48	ga_ls8c_ard_3-0-0_097076_2018-04-02_final
2018-04-04 09:48:37	ga_ls8c_ard_3-0-0_095079_2018-04-04_final
2018-04-04 09:49:01	ga_ls8c_ard_3-0-0_095080_2018-04-04_final
2018-04-04 09:49:25	ga_ls8c_ard_3-0-0_095081_2018-04-04_final
2018-04-04 09:49:49	ga_ls8c_ard_3-0-0_095082_2018-04-04_final
2018-04-04 09:50:13	ga_ls8c_ard_3-0-0_095083_2018-04-04_final
2018-04-04 09:50:37	ga_ls8c_ard_3-0-0_095084_2018-04-04_final
2018-04-04 09:51:01	ga_ls8c_ard_3-0-0_095085_2018-04-04_final
2018-05-06 09:48:19	ga_ls8c_ard_3-0-0_095079_2018-05-06_final
2018-05-06 09:48:43	ga_ls8c_ard_3-0-0_095080_2018-05-06_final
2018-05-06 09:49:07	ga_ls8c_ard_3-0-0_095081_2018-05-06_final
2018-05-06 09:49:31	ga_ls8c_ard_3-0-0_095082_2018-05-06_final
2018-05-06 09:49:55	ga_ls8c_ard_3-0-0_095083_2018-05-06_final
2018-05-06 09:50:19	ga_ls8c_ard_3-0-0_095084_2018-05-06_final
2018-05-06 09:50:42	ga_ls8c_ard_3-0-0_095085_2018-05-06_final
2018-07-18 09:43:48	ga_ls8c_ard_3-0-0_094083_2018-07-18_final
2018-07-18 09:44:12	ga_ls8c_ard_3-0-0_094084_2018-07-18_final
2018-07-18 09:44:36	ga_ls8c_ard_3-0-0_094085_2018-07-18_final
2018-07-18 09:45:00	ga_ls8c_ard_3-0-0_094086_2018-07-18_final
2018-07-18 09:45:24	ga_ls8c_ard_3-0-0_094087_2018-07-18_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