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
2013-11-16 09:50:05	ga_ls8c_ard_3-0-0_095077_2013-11-16_final
2013-11-16 09:50:29	ga_ls8c_ard_3-0-0_095078_2013-11-16_final
2013-11-16 09:51:41	ga_ls8c_ard_3-0-0_095081_2013-11-16_final
2013-11-16 09:52:05	ga_ls8c_ard_3-0-0_095082_2013-11-16_final
2013-11-18 09:40:54	ga_ls8c_ard_3-0-0_093085_2013-11-18_final
2013-11-18 09:41:18	ga_ls8c_ard_3-0-0_093086_2013-11-18_final
2013-11-18 09:41:42	ga_ls8c_ard_3-0-0_093087_2013-11-18_final
2013-11-18 09:42:06	ga_ls8c_ard_3-0-0_093088_2013-11-18_final
2013-12-07 10:04:34	ga_ls8c_ard_3-0-0_098067_2013-12-07_final
2013-12-07 10:04:58	ga_ls8c_ard_3-0-0_098068_2013-12-07_final
2013-12-09 09:54:11	ga_ls8c_ard_3-0-0_096072_2013-12-09_final
2013-12-09 09:54:35	ga_ls8c_ard_3-0-0_096073_2013-12-09_final
2013-12-09 09:54:59	ga_ls8c_ard_3-0-0_096074_2013-12-09_final
2013-12-09 09:55:23	ga_ls8c_ard_3-0-0_096075_2013-12-09_final
2013-12-09 09:55:47	ga_ls8c_ard_3-0-0_096076_2013-12-09_final
2013-12-09 09:56:11	ga_ls8c_ard_3-0-0_096077_2013-12-09_final
2013-12-09 09:56:35	ga_ls8c_ard_3-0-0_096078_2013-12-09_final
2013-12-29 09:35:40	ga_ls8c_ard_3-0-0_092088_2013-12-29_final
2014-01-01 09:58:58	ga_ls8c_ard_3-0-0_097069_2014-01-01_final
2014-01-01 09:59:22	ga_ls8c_ard_3-0-0_097070_2014-01-01_final
2014-01-01 09:59:46	ga_ls8c_ard_3-0-0_097071_2014-01-01_final
2014-01-01 10:00:10	ga_ls8c_ard_3-0-0_097072_2014-01-01_final
2014-01-01 10:00:33	ga_ls8c_ard_3-0-0_097073_2014-01-01_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
2015-02-14 09:54:47	ga_ls8c_ard_3-0-0_096078_2015-02-14_final
2015-05-19 10:01:59	ga_ls8c_ard_3-0-0_098067_2015-05-19_final
2015-05-19 10:02:23	ga_ls8c_ard_3-0-0_098068_2015-05-19_final
2015-05-21 09:51:38	ga_ls8c_ard_3-0-0_096072_2015-05-21_final
2015-05-21 09:52:02	ga_ls8c_ard_3-0-0_096073_2015-05-21_final
2015-05-21 09:52:26	ga_ls8c_ard_3-0-0_096074_2015-05-21_final
2015-05-21 09:52:50	ga_ls8c_ard_3-0-0_096075_2015-05-21_final
2015-05-21 09:53:14	ga_ls8c_ard_3-0-0_096076_2015-05-21_final
2015-05-21 09:53:38	ga_ls8c_ard_3-0-0_096077_2015-05-21_final
2015-05-21 09:54:02	ga_ls8c_ard_3-0-0_096078_2015-05-21_final
2015-06-04 10:02:07	ga_ls8c_ard_3-0-0_098067_2015-06-04_final
2015-06-04 10:02:31	ga_ls8c_ard_3-0-0_098068_2015-06-04_final
2015-06-06 09:51:46	ga_ls8c_ard_3-0-0_096072_2015-06-06_final
2015-06-06 09:52:10	ga_ls8c_ard_3-0-0_096073_2015-06-06_final
2015-06-06 09:52:34	ga_ls8c_ard_3-0-0_096074_2015-06-06_final
2015-06-06 09:52:58	ga_ls8c_ard_3-0-0_096075_2015-06-06_final
2015-06-06 09:53:22	ga_ls8c_ard_3-0-0_096076_2015-06-06_final
2015-06-06 09:53:46	ga_ls8c_ard_3-0-0_096077_2015-06-06_final
2015-06-06 09:54:10	ga_ls8c_ard_3-0-0_096078_2015-06-06_final
2019-07-14 09:39:10	ga_ls8c_ard_3-1-0_093085_2019-07-14_final
2019-07-14 09:39:34	ga_ls8c_ard_3-1-0_093086_2019-07-14_final
2019-07-14 09:39:58	ga_ls8c_ard_3-1-0_093087_2019-07-14_final
2019-07-14 09:40:22	ga_ls8c_ard_3-1-0_093088_2019-07-14_final
2019-07-16 09:29:13	ga_ls8c_ard_3-1-0_091091_2019-07-15_final
2019-11-21 09:29:35	ga_ls8c_ard_3-1-0_091091_2019-11-20_final
2021-01-01 09:34:32	ga_ls8c_ard_3-2-0_092088_2021-01-01_final
2021-01-01 09:34:56	ga_ls8c_ard_3-2-0_092089_2021-01-01_final
2021-01-01 09:35:20	ga_ls8c_ard_3-2-0_092090_2021-01-01_final
2021-01-06 09:48:39	ga_ls8c_ard_3-2-0_095077_2021-01-06_final
2021-01-06 09:49:03	ga_ls8c_ard_3-2-0_095078_2021-01-06_final
2021-01-06 09:49:27	ga_ls8c_ard_3-2-0_095079_2021-01-06_final
2021-01-06 09:49:51	ga_ls8c_ard_3-2-0_095080_2021-01-06_final
2021-01-06 09:50:14	ga_ls8c_ard_3-2-0_095081_2021-01-06_final
2021-01-06 09:50:38	ga_ls8c_ard_3-2-0_095082_2021-01-06_final
2021-01-29 09:53:07	ga_ls8c_ard_3-2-0_096073_2021-01-29_final
2021-01-29 09:53:31	ga_ls8c_ard_3-2-0_096074_2021-01-29_final
2021-01-29 09:53:55	ga_ls8c_ard_3-2-0_096075_2021-01-29_final
2021-01-29 09:54:19	ga_ls8c_ard_3-2-0_096076_2021-01-29_final
2021-01-29 09:54:43	ga_ls8c_ard_3-2-0_096077_2021-01-29_final
2021-01-29 09:55:07	ga_ls8c_ard_3-2-0_096078_2021-01-29_final
2021-01-31 09:43:57	ga_ls8c_ard_3-2-0_094081_2021-01-31_final
2021-01-31 09:44:21	ga_ls8c_ard_3-2-0_094082_2021-01-31_final
2021-01-31 09:44:45	ga_ls8c_ard_3-2-0_094083_2021-01-31_final
2021-01-31 09:45:09	ga_ls8c_ard_3-2-0_094084_2021-01-31_final
2021-01-31 09:45:33	ga_ls8c_ard_3-2-0_094085_2021-01-31_final
2021-01-31 09:45:57	ga_ls8c_ard_3-2-0_094086_2021-01-31_final
2021-02-02 09:34:22	ga_ls8c_ard_3-2-0_092088_2021-02-02_final
2021-02-02 09:34:46	ga_ls8c_ard_3-2-0_092089_2021-02-02_final
2021-02-02 09:35:10	ga_ls8c_ard_3-2-0_092090_2021-02-02_final
2021-02-07 09:48:54	ga_ls8c_ard_3-2-0_095078_2021-02-07_final
2021-02-07 09:49:18	ga_ls8c_ard_3-2-0_095079_2021-02-07_final
2021-02-07 09:49:42	ga_ls8c_ard_3-2-0_095080_2021-02-07_final
2021-02-07 09:50:06	ga_ls8c_ard_3-2-0_095081_2021-02-07_final
2021-02-07 09:50:30	ga_ls8c_ard_3-2-0_095082_2021-02-07_final
2021-02-09 09:39:20	ga_ls8c_ard_3-2-0_093085_2021-02-09_final
2021-02-09 09:39:44	ga_ls8c_ard_3-2-0_093086_2021-02-09_final
2021-02-09 09:40:08	ga_ls8c_ard_3-2-0_093087_2021-02-09_final
2021-02-09 09:40:32	ga_ls8c_ard_3-2-0_093088_2021-02-09_final
2021-05-14 09:47:58	ga_ls8c_ard_3-2-0_095077_2021-05-14_final
2021-05-14 09:48:22	ga_ls8c_ard_3-2-0_095078_2021-05-14_final
2021-05-14 09:48:46	ga_ls8c_ard_3-2-0_095079_2021-05-14_final
2021-05-14 09:49:10	ga_ls8c_ard_3-2-0_095080_2021-05-14_final
2021-05-14 09:49:34	ga_ls8c_ard_3-2-0_095081_2021-05-14_final
2021-05-14 09:49:58	ga_ls8c_ard_3-2-0_095082_2021-05-14_final
2021-07-12 09:34:09	ga_ls8c_ard_3-2-0_092088_2021-07-12_final
2021-07-12 09:34:33	ga_ls8c_ard_3-2-0_092089_2021-07-12_final
2021-07-12 09:34:57	ga_ls8c_ard_3-2-0_092090_2021-07-12_final
2021-07-15 09:57:52	ga_ls8c_ard_3-2-0_097070_2021-07-15_final
2021-07-15 09:58:16	ga_ls8c_ard_3-2-0_097071_2021-07-15_final
2021-07-15 09:59:04	ga_ls8c_ard_3-2-0_097073_2021-07-15_final
2021-07-17 09:48:19	ga_ls8c_ard_3-2-0_095077_2021-07-17_final
2021-07-17 09:48:43	ga_ls8c_ard_3-2-0_095078_2021-07-17_final
2021-07-17 09:49:07	ga_ls8c_ard_3-2-0_095079_2021-07-17_final
2021-07-17 09:49:31	ga_ls8c_ard_3-2-0_095080_2021-07-17_final
2021-07-17 09:49:55	ga_ls8c_ard_3-2-0_095081_2021-07-17_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