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
2014-12-02 09:20:53	ga_ls8c_ard_3-0-0_090085_2014-12-01_final
2014-12-02 09:21:17	ga_ls8c_ard_3-0-0_090086_2014-12-01_final
2015-01-01 09:33:28	ga_ls8c_ard_3-0-0_092086_2015-01-01_final
2015-01-03 09:20:43	ga_ls8c_ard_3-0-0_090085_2015-01-02_final
2015-01-03 09:21:07	ga_ls8c_ard_3-0-0_090086_2015-01-02_final
2015-01-04 10:03:59	ga_ls8c_ard_3-0-0_097085_2015-01-04_final
2015-02-21 10:03:46	ga_ls8c_ard_3-0-0_097085_2015-02-21_final
2015-03-18 09:57:45	ga_ls8c_ard_3-0-0_096086_2015-03-18_final
2015-03-20 09:44:59	ga_ls8c_ard_3-0-0_094085_2015-03-20_final
2015-03-20 09:45:23	ga_ls8c_ard_3-0-0_094086_2015-03-20_final
2015-03-20 11:23:52	ga_ls8c_ard_3-0-0_110085_2015-03-20_final
2015-03-22 09:33:00	ga_ls8c_ard_3-0-0_092086_2015-03-22_final
2015-03-22 11:11:29	ga_ls8c_ard_3-0-0_108085_2015-03-22_final
2015-08-11 09:45:05	ga_ls8c_ard_3-0-0_094085_2015-08-11_final
2015-08-11 09:45:29	ga_ls8c_ard_3-0-0_094086_2015-08-11_final
2015-08-11 11:23:58	ga_ls8c_ard_3-0-0_110085_2015-08-11_final
2015-08-13 09:32:44	ga_ls8c_ard_3-0-0_092085_2015-08-13_final
2015-08-13 09:33:08	ga_ls8c_ard_3-0-0_092086_2015-08-13_final
2015-08-13 11:11:37	ga_ls8c_ard_3-0-0_108085_2015-08-13_final
2015-09-03 09:51:24	ga_ls8c_ard_3-0-0_095085_2015-09-03_final
2015-09-03 09:51:48	ga_ls8c_ard_3-0-0_095086_2015-09-03_final
2015-09-03 11:30:17	ga_ls8c_ard_3-0-0_111085_2015-09-03_final
2015-09-05 09:39:04	ga_ls8c_ard_3-0-0_093085_2015-09-05_final
2015-09-05 09:39:28	ga_ls8c_ard_3-0-0_093086_2015-09-05_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
2015-10-17 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
2015-11-22 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
2015-12-08 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
2015-12-24 11:30:37	ga_ls8c_ard_3-0-0_111085_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
2015-12-26 11:18:15	ga_ls8c_ard_3-0-0_109085_2015-12-26_final
2015-12-27 10:22:37	ga_ls8c_ard_3-0-0_100085_2015-12-27_final
2016-12-12 11:18:24	ga_ls8c_ard_3-0-0_109085_2016-12-12_final
2016-12-13 10:22:47	ga_ls8c_ard_3-0-0_100085_2016-12-13_final
2017-01-27 09:51:40	ga_ls8c_ard_3-0-0_095085_2017-01-27_final
2017-01-27 09:52:04	ga_ls8c_ard_3-0-0_095086_2017-01-27_final
2017-01-27 11:30:34	ga_ls8c_ard_3-0-0_111085_2017-01-27_final
2017-01-29 09:39:42	ga_ls8c_ard_3-0-0_093086_2017-01-29_final
2017-01-29 11:18:11	ga_ls8c_ard_3-0-0_109085_2017-01-29_final
2017-01-30 10:22:33	ga_ls8c_ard_3-0-0_100085_2017-01-30_final
2017-02-12 09:51:32	ga_ls8c_ard_3-0-0_095085_2017-02-12_final
2017-02-12 09:51:56	ga_ls8c_ard_3-0-0_095086_2017-02-12_final
2017-02-12 11:30:26	ga_ls8c_ard_3-0-0_111085_2017-02-12_final
2017-02-14 09:39:10	ga_ls8c_ard_3-0-0_093085_2017-02-14_final
2017-02-14 09:39:34	ga_ls8c_ard_3-0-0_093086_2017-02-14_final
2017-02-14 11:18:03	ga_ls8c_ard_3-0-0_109085_2017-02-14_final
2017-02-15 10:22:26	ga_ls8c_ard_3-0-0_100085_2017-02-15_final
2017-02-28 09:51:27	ga_ls8c_ard_3-0-0_095085_2017-02-28_final
2017-02-28 09:51:51	ga_ls8c_ard_3-0-0_095086_2017-02-28_final
2017-03-02 09:39:05	ga_ls8c_ard_3-0-0_093085_2017-03-02_final
2017-03-02 09:39:29	ga_ls8c_ard_3-0-0_093086_2017-03-02_final
2017-03-02 11:17:58	ga_ls8c_ard_3-0-0_109085_2017-03-02_final
2017-03-03 10:22:20	ga_ls8c_ard_3-0-0_100085_2017-03-03_final
2017-03-16 09:51:18	ga_ls8c_ard_3-0-0_095085_2017-03-16_final
2017-03-16 09:51:42	ga_ls8c_ard_3-0-0_095086_2017-03-16_final
2017-03-18 09:39:19	ga_ls8c_ard_3-0-0_093086_2017-03-18_final
2018-02-22 09:57:32	ga_ls8c_ard_3-0-0_096085_2018-02-22_final
2018-02-22 09:57:56	ga_ls8c_ard_3-0-0_096086_2018-02-22_final
2018-02-24 09:45:33	ga_ls8c_ard_3-0-0_094086_2018-02-24_final
2018-02-24 11:24:02	ga_ls8c_ard_3-0-0_110085_2018-02-24_final
2018-03-12 09:45:24	ga_ls8c_ard_3-0-0_094086_2018-03-12_final
2018-03-12 11:23:54	ga_ls8c_ard_3-0-0_110085_2018-03-12_final
2018-04-04 09:51:01	ga_ls8c_ard_3-0-0_095085_2018-04-04_final
2018-04-04 09:51:25	ga_ls8c_ard_3-0-0_095086_2018-04-04_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
2018-04-13 09:44:45	ga_ls8c_ard_3-0-0_094085_2018-04-13_final
2018-04-13 09:45:09	ga_ls8c_ard_3-0-0_094086_2018-04-13_final
2018-04-13 11:23:38	ga_ls8c_ard_3-0-0_110085_2018-04-13_final
2018-04-27 09:57:22	ga_ls8c_ard_3-0-0_096086_2018-04-27_final
2018-04-27 11:35:52	ga_ls8c_ard_3-0-0_112085_2018-04-27_final
2018-05-03 09:20:14	ga_ls8c_ard_3-0-0_090086_2018-05-02_final
2018-05-04 10:03:29	ga_ls8c_ard_3-0-0_097086_2018-05-04_final
2018-09-16 10:09:45	ga_ls8c_ard_3-0-0_098085_2018-09-16_final
2018-09-16 10:10:09	ga_ls8c_ard_3-0-0_098086_2018-09-16_final
2018-09-17 09:14:08	ga_ls8c_ard_3-0-0_089085_2018-09-16_final
2018-09-17 09:14:32	ga_ls8c_ard_3-0-0_089086_2018-09-16_final
2019-01-06 10:10:00	ga_ls8c_ard_3-0-0_098085_2019-01-06_final
2019-01-06 10:10:24	ga_ls8c_ard_3-0-0_098086_2019-01-06_final
2019-01-07 09:14:22	ga_ls8c_ard_3-0-0_089085_2019-01-06_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