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
2013-04-03 09:53:48	ga_ls8c_ard_3-0-0_095086_2013-04-03_final
2013-04-15 09:47:38	ga_ls8c_ard_3-0-0_094086_2013-04-15_final
2013-04-17 09:35:16	ga_ls8c_ard_3-0-0_092086_2013-04-17_final
2013-04-26 09:29:01	ga_ls8c_ard_3-0-0_091086_2013-04-25_final
2013-05-01 09:47:36	ga_ls8c_ard_3-0-0_094086_2013-05-01_final
2013-06-02 09:47:52	ga_ls8c_ard_3-0-0_094086_2013-06-02_final
2013-06-04 09:35:30	ga_ls8c_ard_3-0-0_092086_2013-06-04_final
2013-06-09 09:54:01	ga_ls8c_ard_3-0-0_095086_2013-06-09_final
2013-06-11 09:41:38	ga_ls8c_ard_3-0-0_093086_2013-06-11_final
2013-06-13 09:29:16	ga_ls8c_ard_3-0-0_091086_2013-06-12_final
2013-06-27 09:41:35	ga_ls8c_ard_3-0-0_093086_2013-06-27_final
2013-06-29 09:29:14	ga_ls8c_ard_3-0-0_091086_2013-06-28_final
2013-07-01 09:16:53	ga_ls8c_ard_3-0-0_089086_2013-06-30_final
2013-07-02 10:00:09	ga_ls8c_ard_3-0-0_096086_2013-07-02_final
2013-07-04 09:47:47	ga_ls8c_ard_3-0-0_094086_2013-07-04_final
2013-07-11 09:53:59	ga_ls8c_ard_3-0-0_095086_2013-07-11_final
2013-07-24 09:23:03	ga_ls8c_ard_3-0-0_090086_2013-07-23_final
2013-08-02 09:16:55	ga_ls8c_ard_3-0-0_089086_2013-08-01_final
2013-08-03 10:00:11	ga_ls8c_ard_3-0-0_096086_2013-08-03_final
2013-08-30 09:41:41	ga_ls8c_ard_3-0-0_093086_2013-08-30_final
2013-10-06 10:00:03	ga_ls8c_ard_3-0-0_096086_2013-10-06_final
2013-10-08 09:47:42	ga_ls8c_ard_3-0-0_094086_2013-10-08_final
2013-10-10 09:35:20	ga_ls8c_ard_3-0-0_092086_2013-10-10_final
2013-11-23 09:59:45	ga_ls8c_ard_3-0-0_096086_2013-11-23_final
2013-11-25 09:47:25	ga_ls8c_ard_3-0-0_094086_2013-11-25_final
2013-11-27 09:35:04	ga_ls8c_ard_3-0-0_092086_2013-11-27_final
2013-11-29 09:22:42	ga_ls8c_ard_3-0-0_090086_2013-11-28_final
2014-01-03 09:53:22	ga_ls8c_ard_3-0-0_095086_2014-01-03_final
2014-01-05 09:40:59	ga_ls8c_ard_3-0-0_093086_2014-01-05_final
2015-11-20 10:04:05	ga_ls8c_ard_3-0-0_097085_2015-11-20_final
2015-11-20 10:04:29	ga_ls8c_ard_3-0-0_097086_2015-11-20_final
2017-11-09 10:04:14	ga_ls8c_ard_3-0-0_097085_2017-11-09_final
2017-11-09 10:04:38	ga_ls8c_ard_3-0-0_097086_2017-11-09_final
2017-11-27 09:52:09	ga_ls8c_ard_3-0-0_095086_2017-11-27_final
2017-11-29 09:39:23	ga_ls8c_ard_3-0-0_093085_2017-11-29_final
2017-11-29 09:39:47	ga_ls8c_ard_3-0-0_093086_2017-11-29_final
2017-11-29 11:18:16	ga_ls8c_ard_3-0-0_109085_2017-11-29_final
2017-11-30 10:22:38	ga_ls8c_ard_3-0-0_100085_2017-11-30_final
2017-12-16 10:22:40	ga_ls8c_ard_3-0-0_100085_2017-12-16_final
2017-12-24 09:33:38	ga_ls8c_ard_3-0-0_092086_2017-12-24_final
2017-12-24 11:12:08	ga_ls8c_ard_3-0-0_108085_2017-12-24_final
2017-12-26 09:21:16	ga_ls8c_ard_3-0-0_090086_2017-12-25_final
2017-12-27 10:04:32	ga_ls8c_ard_3-0-0_097086_2017-12-27_final
2018-01-07 09:45:55	ga_ls8c_ard_3-0-0_094086_2018-01-07_final
2018-01-14 09:52:03	ga_ls8c_ard_3-0-0_095086_2018-01-14_final
2018-01-16 09:39:40	ga_ls8c_ard_3-0-0_093086_2018-01-16_final
2018-01-21 09:58:10	ga_ls8c_ard_3-0-0_096086_2018-01-21_final
2018-01-23 09:45:23	ga_ls8c_ard_3-0-0_094085_2018-01-23_final
2018-01-23 09:45:47	ga_ls8c_ard_3-0-0_094086_2018-01-23_final
2018-10-02 10:09:53	ga_ls8c_ard_3-0-0_098085_2018-10-02_final
2018-10-02 10:10:17	ga_ls8c_ard_3-0-0_098086_2018-10-02_final
2018-10-03 09:14:16	ga_ls8c_ard_3-0-0_089085_2018-10-02_final
2018-10-03 09:14:40	ga_ls8c_ard_3-0-0_089086_2018-10-02_final
2018-11-03 10:10:03	ga_ls8c_ard_3-0-0_098085_2018-11-03_final
2018-11-03 10:10:27	ga_ls8c_ard_3-0-0_098086_2018-11-03_final
2018-11-04 09:14:26	ga_ls8c_ard_3-0-0_089085_2018-11-03_final
2018-11-04 09:14:50	ga_ls8c_ard_3-0-0_089086_2018-11-03_final
2018-12-05 10:10:02	ga_ls8c_ard_3-0-0_098085_2018-12-05_final
2018-12-05 10:10:26	ga_ls8c_ard_3-0-0_098086_2018-12-05_final
2018-12-06 09:14:25	ga_ls8c_ard_3-0-0_089085_2018-12-05_final
2018-12-06 09:14:49	ga_ls8c_ard_3-0-0_089086_2018-12-05_final
2019-01-21 09:27:05	ga_ls8c_ard_3-0-0_091086_2019-01-20_final
2019-01-21 11:05:34	ga_ls8c_ard_3-0-0_107085_2019-01-21_final
2019-01-22 10:09:56	ga_ls8c_ard_3-0-0_098085_2019-01-22_final
2019-01-22 10:10:20	ga_ls8c_ard_3-0-0_098086_2019-01-22_final
2019-01-23 09:14:43	ga_ls8c_ard_3-0-0_089086_2019-01-22_final
2019-01-24 09:57:34	ga_ls8c_ard_3-0-0_096085_2019-01-24_final
2019-01-24 09:57:58	ga_ls8c_ard_3-0-0_096086_2019-01-24_final
2019-01-30 09:20:52	ga_ls8c_ard_3-0-0_090086_2019-01-29_final
2019-01-31 10:03:43	ga_ls8c_ard_3-0-0_097085_2019-01-31_final
2019-01-31 10:04:07	ga_ls8c_ard_3-0-0_097086_2019-01-31_final
2019-02-02 09:51:45	ga_ls8c_ard_3-0-0_095086_2019-02-02_final
2019-02-02 11:30:15	ga_ls8c_ard_3-0-0_111085_2019-02-02_final
2019-02-07 10:09:54	ga_ls8c_ard_3-0-0_098085_2019-02-07_final
2019-02-07 10:10:18	ga_ls8c_ard_3-0-0_098086_2019-02-07_final
2019-02-08 09:14:16	ga_ls8c_ard_3-0-0_089085_2019-02-07_final
2019-02-08 09:14:40	ga_ls8c_ard_3-0-0_089086_2019-02-07_final
2019-02-09 09:57:32	ga_ls8c_ard_3-0-0_096085_2019-02-09_final
2019-02-09 09:57:56	ga_ls8c_ard_3-0-0_096086_2019-02-09_final
2019-02-22 09:26:59	ga_ls8c_ard_3-0-0_091086_2019-02-21_final
2019-03-04 10:04:01	ga_ls8c_ard_3-0-0_097086_2019-03-04_final
2019-03-10 09:26:54	ga_ls8c_ard_3-1-0_091086_2019-03-09_final
2019-03-10 11:05:23	ga_ls8c_ard_3-1-0_107085_2019-03-10_final
2019-03-11 10:09:45	ga_ls8c_ard_3-1-0_098085_2019-03-11_final
2019-03-11 10:10:09	ga_ls8c_ard_3-1-0_098086_2019-03-11_final
2019-03-12 09:14:31	ga_ls8c_ard_3-1-0_089086_2019-03-11_final
2019-03-13 09:57:47	ga_ls8c_ard_3-1-0_096086_2019-03-13_final
2019-04-04 09:20:37	ga_ls8c_ard_3-1-0_090086_2019-04-03_final
2019-04-11 09:26:46	ga_ls8c_ard_3-1-0_091086_2019-04-10_final
2019-04-18 09:32:54	ga_ls8c_ard_3-1-0_092086_2019-04-18_final
2019-04-20 09:20:31	ga_ls8c_ard_3-0-0_090086_2019-04-19_final
2019-04-21 10:03:46	ga_ls8c_ard_3-0-0_097086_2019-04-21_final
2019-04-27 09:26:40	ga_ls8c_ard_3-0-0_091086_2019-04-26_final
2019-04-27 11:05:09	ga_ls8c_ard_3-0-0_107085_2019-04-27_final
2019-04-28 10:09:32	ga_ls8c_ard_3-0-0_098085_2019-04-28_final
2019-04-28 10:09:56	ga_ls8c_ard_3-0-0_098086_2019-04-28_final
2019-04-29 09:13:55	ga_ls8c_ard_3-0-0_089085_2019-04-28_final
2019-04-29 09:14:19	ga_ls8c_ard_3-0-0_089086_2019-04-28_final
2019-05-29 09:26:34	ga_ls8c_ard_3-0-0_091085_2019-05-28_final
2019-05-29 09:26:58	ga_ls8c_ard_3-0-0_091086_2019-05-28_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