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
2014-12-28 09:58:14	ga_ls8c_ard_3-0-0_096086_2014-12-28_final
2015-01-22 09:51:33	ga_ls8c_ard_3-0-0_095085_2015-01-22_final
2015-01-22 09:51:57	ga_ls8c_ard_3-0-0_095086_2015-01-22_final
2015-01-31 09:45:22	ga_ls8c_ard_3-0-0_094085_2015-01-31_final
2015-01-31 09:45:46	ga_ls8c_ard_3-0-0_094086_2015-01-31_final
2015-02-02 09:33:24	ga_ls8c_ard_3-0-0_092086_2015-02-02_final
2015-02-23 09:51:24	ga_ls8c_ard_3-0-0_095085_2015-02-23_final
2015-02-23 09:51:48	ga_ls8c_ard_3-0-0_095086_2015-02-23_final
2015-02-25 09:39:26	ga_ls8c_ard_3-0-0_093086_2015-02-25_final
2015-02-27 09:27:03	ga_ls8c_ard_3-0-0_091086_2015-02-26_final
2015-02-27 11:05:32	ga_ls8c_ard_3-0-0_107085_2015-02-27_final
2015-03-01 09:14:41	ga_ls8c_ard_3-0-0_089086_2015-02-28_final
2015-03-11 09:51:37	ga_ls8c_ard_3-0-0_095086_2015-03-11_final
2015-04-03 09:57:33	ga_ls8c_ard_3-0-0_096086_2015-04-03_final
2015-04-12 09:51:22	ga_ls8c_ard_3-0-0_095086_2015-04-12_final
2015-09-05 11:17:57	ga_ls8c_ard_3-0-0_109085_2015-09-05_final
2015-09-06 10:22:20	ga_ls8c_ard_3-0-0_100085_2015-09-06_final
2015-10-05 09:52:01	ga_ls8c_ard_3-0-0_095086_2015-10-05_final
2015-10-05 11:30:30	ga_ls8c_ard_3-0-0_111085_2015-10-05_final
2015-10-07 09:39:15	ga_ls8c_ard_3-0-0_093085_2015-10-07_final
2015-10-07 09:39:39	ga_ls8c_ard_3-0-0_093086_2015-10-07_final
2015-10-07 11:18:08	ga_ls8c_ard_3-0-0_109085_2015-10-07_final
2015-10-08 10:22:31	ga_ls8c_ard_3-0-0_100085_2015-10-08_final
2015-10-12 09:57:47	ga_ls8c_ard_3-0-0_096085_2015-10-12_final
2015-10-12 09:58:11	ga_ls8c_ard_3-0-0_096086_2015-10-12_final
2015-10-12 11:36:40	ga_ls8c_ard_3-0-0_112085_2015-10-12_final
2015-10-14 09:45:25	ga_ls8c_ard_3-0-0_094085_2015-10-14_final
2015-10-14 09:45:49	ga_ls8c_ard_3-0-0_094086_2015-10-14_final
2015-10-14 11:24:18	ga_ls8c_ard_3-0-0_110085_2015-10-14_final
2015-10-17 10:16:20	ga_ls8c_ard_3-0-0_099085_2015-10-17_final
2015-10-18 09:20:43	ga_ls8c_ard_3-0-0_090085_2015-10-17_final
2015-10-18 09:21:07	ga_ls8c_ard_3-0-0_090086_2015-10-17_final
2015-10-19 10:03:59	ga_ls8c_ard_3-0-0_097085_2015-10-19_final
2015-10-19 10:04:23	ga_ls8c_ard_3-0-0_097086_2015-10-19_final
2015-11-06 09:51:42	ga_ls8c_ard_3-0-0_095085_2015-11-06_final
2015-11-06 09:52:06	ga_ls8c_ard_3-0-0_095086_2015-11-06_final
2015-11-06 11:30:35	ga_ls8c_ard_3-0-0_111085_2015-11-06_final
2015-11-08 09:39:21	ga_ls8c_ard_3-0-0_093085_2015-11-08_final
2015-11-08 09:39:45	ga_ls8c_ard_3-0-0_093086_2015-11-08_final
2015-11-08 11:18:14	ga_ls8c_ard_3-0-0_109085_2015-11-08_final
2015-11-09 10:22:36	ga_ls8c_ard_3-0-0_100085_2015-11-09_final
2015-11-13 09:57:52	ga_ls8c_ard_3-0-0_096085_2015-11-13_final
2015-11-13 09:58:16	ga_ls8c_ard_3-0-0_096086_2015-11-13_final
2015-11-13 11:36:45	ga_ls8c_ard_3-0-0_112085_2015-11-13_final
2015-11-15 09:45:55	ga_ls8c_ard_3-0-0_094086_2015-11-15_final
2015-11-22 09:51:44	ga_ls8c_ard_3-0-0_095085_2015-11-22_final
2015-11-22 09:52:08	ga_ls8c_ard_3-0-0_095086_2015-11-22_final
2015-11-22 11:30:37	ga_ls8c_ard_3-0-0_111085_2015-11-22_final
2015-11-24 09:39:23	ga_ls8c_ard_3-0-0_093085_2015-11-24_final
2015-11-24 09:39:47	ga_ls8c_ard_3-0-0_093086_2015-11-24_final
2015-11-24 11:18:16	ga_ls8c_ard_3-0-0_109085_2015-11-24_final
2015-11-25 10:22:39	ga_ls8c_ard_3-0-0_100085_2015-11-25_final
2015-12-05 09:20:50	ga_ls8c_ard_3-0-0_090085_2015-12-04_final
2015-12-05 09:21:14	ga_ls8c_ard_3-0-0_090086_2015-12-04_final
2015-12-06 10:04:05	ga_ls8c_ard_3-0-0_097085_2015-12-06_final
2015-12-06 10:04:29	ga_ls8c_ard_3-0-0_097086_2015-12-06_final
2015-12-08 09:51:43	ga_ls8c_ard_3-0-0_095085_2015-12-08_final
2015-12-08 09:52:07	ga_ls8c_ard_3-0-0_095086_2015-12-08_final
2015-12-08 11:30:36	ga_ls8c_ard_3-0-0_111085_2015-12-08_final
2015-12-10 09:39:21	ga_ls8c_ard_3-0-0_093085_2015-12-10_final
2015-12-10 09:39:44	ga_ls8c_ard_3-0-0_093086_2015-12-10_final
2015-12-10 11:18:14	ga_ls8c_ard_3-0-0_109085_2015-12-10_final
2015-12-11 10:22:36	ga_ls8c_ard_3-0-0_100085_2015-12-11_final
2015-12-24 09:51:44	ga_ls8c_ard_3-0-0_095085_2015-12-24_final
2015-12-24 09:52:08	ga_ls8c_ard_3-0-0_095086_2015-12-24_final
2015-12-26 09:39:22	ga_ls8c_ard_3-0-0_093085_2015-12-26_final
2015-12-26 09:39:46	ga_ls8c_ard_3-0-0_093086_2015-12-26_final
2015-12-27 10:22:37	ga_ls8c_ard_3-0-0_100085_2015-12-27_final
2016-01-13 09:27:21	ga_ls8c_ard_3-0-0_091086_2016-01-12_final
2016-01-13 11:05:50	ga_ls8c_ard_3-0-0_107085_2016-01-13_final
2016-01-14 10:10:13	ga_ls8c_ard_3-0-0_098085_2016-01-14_final
2016-01-14 10:10:37	ga_ls8c_ard_3-0-0_098086_2016-01-14_final
2016-01-15 09:14:36	ga_ls8c_ard_3-0-0_089085_2016-01-14_final
2016-01-15 09:14:59	ga_ls8c_ard_3-0-0_089086_2016-01-14_final
2016-01-16 09:57:51	ga_ls8c_ard_3-0-0_096085_2016-01-16_final
2016-01-16 09:58:15	ga_ls8c_ard_3-0-0_096086_2016-01-16_final
2016-01-16 11:36:44	ga_ls8c_ard_3-0-0_112085_2016-01-16_final
2016-02-14 09:27:13	ga_ls8c_ard_3-1-0_091086_2016-02-13_final
2016-02-21 09:33:20	ga_ls8c_ard_3-0-0_092086_2016-02-21_final
2016-02-23 09:20:35	ga_ls8c_ard_3-0-0_090085_2016-02-22_final
2016-02-23 09:20:59	ga_ls8c_ard_3-0-0_090086_2016-02-22_final
2016-03-02 10:10:25	ga_ls8c_ard_3-0-0_098086_2016-03-02_final
2016-03-03 09:14:24	ga_ls8c_ard_3-0-0_089085_2016-03-02_final
2016-03-03 09:14:48	ga_ls8c_ard_3-0-0_089086_2016-03-02_final
2016-04-18 09:26:50	ga_ls8c_ard_3-0-0_091086_2016-04-17_final
2016-04-25 09:32:57	ga_ls8c_ard_3-0-0_092086_2016-04-25_final
2016-04-27 09:20:38	ga_ls8c_ard_3-0-0_090086_2016-04-26_final
2016-04-28 10:03:54	ga_ls8c_ard_3-0-0_097086_2016-04-28_final
2019-04-23 09:51:24	ga_ls8c_ard_3-0-0_095086_2019-04-23_final
2019-04-25 09:39:01	ga_ls8c_ard_3-0-0_093086_2019-04-25_final
2019-04-26 10:21:53	ga_ls8c_ard_3-0-0_100085_2019-04-26_final
2019-06-01 09:57:30	ga_ls8c_ard_3-0-0_096085_2019-06-01_final
2019-06-01 09:57:54	ga_ls8c_ard_3-0-0_096086_2019-06-01_final
2019-06-01 11:36:23	ga_ls8c_ard_3-0-0_112085_2019-06-01_final
2019-06-03 09:45:09	ga_ls8c_ard_3-0-0_094085_2019-06-03_final
2019-06-03 09:45:33	ga_ls8c_ard_3-0-0_094086_2019-06-03_final
2019-06-03 11:24:02	ga_ls8c_ard_3-0-0_110085_2019-06-03_final
2019-12-15 10:16:36	ga_ls8c_ard_3-2-0_099085_2019-12-15_final
2019-12-16 09:20:59	ga_ls8c_ard_3-2-0_090085_2019-12-15_final
2019-12-16 09:21:23	ga_ls8c_ard_3-2-0_090086_2019-12-15_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