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
2013-07-15 09:28:51	ga_ls8c_ard_3-0-0_091085_2013-07-14_final
2013-07-15 09:29:15	ga_ls8c_ard_3-0-0_091086_2013-07-14_final
2013-10-04 10:12:01	ga_ls8c_ard_3-0-0_098085_2013-10-04_final
2013-10-05 09:16:24	ga_ls8c_ard_3-0-0_089085_2013-10-04_final
2013-10-05 09:16:48	ga_ls8c_ard_3-0-0_089086_2013-10-04_final
2013-10-06 09:59:39	ga_ls8c_ard_3-0-0_096085_2013-10-06_final
2013-10-06 10:00:03	ga_ls8c_ard_3-0-0_096086_2013-10-06_final
2013-10-13 10:05:49	ga_ls8c_ard_3-0-0_097085_2013-10-13_final
2013-10-15 09:53:27	ga_ls8c_ard_3-0-0_095085_2013-10-15_final
2013-10-15 09:53:51	ga_ls8c_ard_3-0-0_095086_2013-10-15_final
2013-10-17 09:41:05	ga_ls8c_ard_3-0-0_093085_2013-10-17_final
2013-10-17 09:41:29	ga_ls8c_ard_3-0-0_093086_2013-10-17_final
2013-10-19 09:29:06	ga_ls8c_ard_3-0-0_091086_2013-10-18_final
2013-10-20 10:11:57	ga_ls8c_ard_3-0-0_098085_2013-10-20_final
2013-10-22 09:59:34	ga_ls8c_ard_3-0-0_096085_2013-10-22_final
2014-06-30 09:38:59	ga_ls8c_ard_3-0-0_093085_2014-06-30_final
2014-06-30 09:39:23	ga_ls8c_ard_3-0-0_093086_2014-06-30_final
2014-07-02 09:26:39	ga_ls8c_ard_3-0-0_091085_2014-07-01_final
2014-07-02 09:27:03	ga_ls8c_ard_3-0-0_091086_2014-07-01_final
2014-07-03 10:09:55	ga_ls8c_ard_3-0-0_098085_2014-07-03_final
2014-07-04 09:14:19	ga_ls8c_ard_3-0-0_089085_2014-07-03_final
2014-07-04 09:14:43	ga_ls8c_ard_3-0-0_089086_2014-07-03_final
2014-07-05 09:57:35	ga_ls8c_ard_3-0-0_096085_2014-07-05_final
2014-07-05 09:57:59	ga_ls8c_ard_3-0-0_096086_2014-07-05_final
2014-08-10 09:33:05	ga_ls8c_ard_3-0-0_092085_2014-08-10_final
2014-08-10 09:33:29	ga_ls8c_ard_3-0-0_092086_2014-08-10_final
2014-08-12 09:20:44	ga_ls8c_ard_3-0-0_090085_2014-08-11_final
2014-08-12 09:21:08	ga_ls8c_ard_3-0-0_090086_2014-08-11_final
2014-08-22 09:57:51	ga_ls8c_ard_3-0-0_096085_2014-08-22_final
2014-08-22 09:58:15	ga_ls8c_ard_3-0-0_096086_2014-08-22_final
2014-08-24 09:45:29	ga_ls8c_ard_3-0-0_094085_2014-08-24_final
2014-08-24 09:45:53	ga_ls8c_ard_3-0-0_094086_2014-08-24_final
2014-08-26 09:33:08	ga_ls8c_ard_3-0-0_092085_2014-08-26_final
2014-08-26 09:33:32	ga_ls8c_ard_3-0-0_092086_2014-08-26_final
2014-08-28 09:20:46	ga_ls8c_ard_3-0-0_090085_2014-08-27_final
2014-08-28 09:21:10	ga_ls8c_ard_3-0-0_090086_2014-08-27_final
2014-09-07 09:57:54	ga_ls8c_ard_3-0-0_096085_2014-09-07_final
2014-09-07 09:58:18	ga_ls8c_ard_3-0-0_096086_2014-09-07_final
2014-09-09 09:45:33	ga_ls8c_ard_3-0-0_094085_2014-09-09_final
2014-09-09 09:45:57	ga_ls8c_ard_3-0-0_094086_2014-09-09_final
2014-09-11 09:33:12	ga_ls8c_ard_3-0-0_092085_2014-09-11_final
2014-09-11 09:33:36	ga_ls8c_ard_3-0-0_092086_2014-09-11_final
2014-09-13 09:20:50	ga_ls8c_ard_3-0-0_090085_2014-09-12_final
2014-09-13 09:21:14	ga_ls8c_ard_3-0-0_090086_2014-09-12_final
2014-09-27 09:33:09	ga_ls8c_ard_3-0-0_092085_2014-09-27_final
2014-09-29 09:20:49	ga_ls8c_ard_3-0-0_090085_2014-09-28_final
2014-09-30 10:04:06	ga_ls8c_ard_3-0-0_097085_2014-09-30_final
2014-10-02 09:51:45	ga_ls8c_ard_3-0-0_095085_2014-10-02_final
2014-10-02 09:52:09	ga_ls8c_ard_3-0-0_095086_2014-10-02_final
2014-11-10 09:58:00	ga_ls8c_ard_3-0-0_096085_2014-11-10_final
2014-11-10 09:58:24	ga_ls8c_ard_3-0-0_096086_2014-11-10_final
2014-11-12 09:45:39	ga_ls8c_ard_3-0-0_094085_2014-11-12_final
2014-11-12 09:46:03	ga_ls8c_ard_3-0-0_094086_2014-11-12_final
2014-12-28 09:57:50	ga_ls8c_ard_3-0-0_096085_2014-12-28_final
2014-12-28 09:58:14	ga_ls8c_ard_3-0-0_096086_2014-12-28_final
2014-12-30 09:45:27	ga_ls8c_ard_3-0-0_094085_2014-12-30_final
2014-12-30 09:45:51	ga_ls8c_ard_3-0-0_094086_2014-12-30_final
2015-04-05 09:44:47	ga_ls8c_ard_3-0-0_094085_2015-04-05_final
2015-04-05 11:23:40	ga_ls8c_ard_3-0-0_110085_2015-04-05_final
2015-04-14 09:38:37	ga_ls8c_ard_3-0-0_093085_2015-04-14_final
2015-04-14 11:17:30	ga_ls8c_ard_3-0-0_109085_2015-04-14_final
2015-04-15 10:21:53	ga_ls8c_ard_3-0-0_100085_2015-04-15_final
2015-04-16 09:26:15	ga_ls8c_ard_3-0-0_091085_2015-04-15_final
2015-04-16 11:05:08	ga_ls8c_ard_3-0-0_107085_2015-04-16_final
2015-04-30 09:38:29	ga_ls8c_ard_3-0-0_093085_2015-04-30_final
2015-05-02 09:26:05	ga_ls8c_ard_3-0-0_091085_2015-05-01_final
2015-05-02 09:26:29	ga_ls8c_ard_3-0-0_091086_2015-05-01_final
2015-05-07 09:44:32	ga_ls8c_ard_3-0-0_094085_2015-05-07_final
2015-05-07 09:44:55	ga_ls8c_ard_3-1-0_094086_2015-05-07_final
2015-05-07 11:23:24	ga_ls8c_ard_3-0-0_110085_2015-05-07_final
2015-06-20 10:09:27	ga_ls8c_ard_3-0-0_098085_2015-06-20_final
2015-06-20 10:09:51	ga_ls8c_ard_3-0-0_098086_2015-06-20_final
2015-06-21 09:13:49	ga_ls8c_ard_3-0-0_089085_2015-06-20_final
2015-06-21 09:14:13	ga_ls8c_ard_3-0-0_089086_2015-06-20_final
2015-06-22 09:57:05	ga_ls8c_ard_3-0-0_096085_2015-06-22_final
2015-06-22 09:57:29	ga_ls8c_ard_3-0-0_096086_2015-06-22_final
2015-06-22 11:35:58	ga_ls8c_ard_3-0-0_112085_2015-06-22_final
2018-04-06 09:38:38	ga_ls8c_ard_3-0-0_093085_2018-04-06_final
2018-04-06 09:39:02	ga_ls8c_ard_3-0-0_093086_2018-04-06_final
2018-04-06 11:17:31	ga_ls8c_ard_3-0-0_109085_2018-04-06_final
2018-04-07 10:21:53	ga_ls8c_ard_3-0-0_100085_2018-04-07_final
2018-04-08 09:26:15	ga_ls8c_ard_3-0-0_091085_2018-04-07_final
2018-04-08 11:05:08	ga_ls8c_ard_3-0-0_107085_2018-04-08_final
2018-05-08 09:38:20	ga_ls8c_ard_3-0-0_093085_2018-05-08_final
2018-05-08 11:17:13	ga_ls8c_ard_3-0-0_109085_2018-05-08_final
2018-05-09 10:21:35	ga_ls8c_ard_3-0-0_100085_2018-05-09_final
2018-05-10 09:25:57	ga_ls8c_ard_3-0-0_091085_2018-05-09_final
2018-05-10 11:04:50	ga_ls8c_ard_3-0-0_107085_2018-05-10_final
2018-05-24 09:38:08	ga_ls8c_ard_3-0-0_093085_2018-05-24_final
2018-05-24 11:17:01	ga_ls8c_ard_3-0-0_109085_2018-05-24_final
2018-05-25 10:21:23	ga_ls8c_ard_3-0-0_100085_2018-05-25_final
2018-05-26 09:25:45	ga_ls8c_ard_3-0-0_091085_2018-05-25_final
2018-05-26 09:26:08	ga_ls8c_ard_3-0-0_091086_2018-05-25_final
2018-05-26 11:04:37	ga_ls8c_ard_3-0-0_107085_2018-05-26_final
2018-07-11 09:38:22	ga_ls8c_ard_3-0-0_093085_2018-07-11_final
2018-07-11 09:38:46	ga_ls8c_ard_3-0-0_093086_2018-07-11_final
2018-07-11 11:17:15	ga_ls8c_ard_3-0-0_109085_2018-07-11_final
2018-07-12 10:21:38	ga_ls8c_ard_3-0-0_100085_2018-07-12_final
2018-07-13 09:26:01	ga_ls8c_ard_3-0-0_091085_2018-07-12_final
2018-07-13 09:26:25	ga_ls8c_ard_3-0-0_091086_2018-07-12_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