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
2016-11-24 09:51:56	ga_ls8c_ard_3-0-0_095085_2016-11-24_final
2016-11-24 09:52:20	ga_ls8c_ard_3-0-0_095086_2016-11-24_final
2016-11-24 11:30:49	ga_ls8c_ard_3-0-0_111085_2016-11-24_final
2016-11-26 09:39:34	ga_ls8c_ard_3-0-0_093085_2016-11-26_final
2016-11-26 09:39:58	ga_ls8c_ard_3-0-0_093086_2016-11-26_final
2016-11-26 11:18:27	ga_ls8c_ard_3-0-0_109085_2016-11-26_final
2016-11-27 10:22:50	ga_ls8c_ard_3-0-0_100085_2016-11-27_final
2016-12-06 10:16:38	ga_ls8c_ard_3-0-0_099085_2016-12-06_final
2016-12-07 09:21:00	ga_ls8c_ard_3-0-0_090085_2016-12-06_final
2016-12-07 09:21:24	ga_ls8c_ard_3-0-0_090086_2016-12-06_final
2016-12-08 10:04:16	ga_ls8c_ard_3-0-0_097085_2016-12-08_final
2016-12-08 10:04:40	ga_ls8c_ard_3-0-0_097086_2016-12-08_final
2016-12-17 09:58:02	ga_ls8c_ard_3-0-0_096085_2016-12-17_final
2016-12-17 09:58:26	ga_ls8c_ard_3-0-0_096086_2016-12-17_final
2016-12-17 11:36:55	ga_ls8c_ard_3-0-0_112085_2016-12-17_final
2016-12-19 09:45:39	ga_ls8c_ard_3-0-0_094085_2016-12-19_final
2016-12-19 09:46:03	ga_ls8c_ard_3-0-0_094086_2016-12-19_final
2016-12-19 11:24:32	ga_ls8c_ard_3-0-0_110085_2016-12-19_final
2016-12-28 11:18:21	ga_ls8c_ard_3-0-0_109085_2016-12-28_final
2016-12-29 10:22:43	ga_ls8c_ard_3-0-0_100085_2016-12-29_final
2017-01-09 10:04:08	ga_ls8c_ard_3-0-0_097085_2017-01-09_final
2017-01-09 10:04:32	ga_ls8c_ard_3-0-0_097086_2017-01-09_final
2017-01-13 09:39:24	ga_ls8c_ard_3-0-0_093085_2017-01-13_final
2017-01-13 11:18:17	ga_ls8c_ard_3-0-0_109085_2017-01-13_final
2017-01-14 10:22:39	ga_ls8c_ard_3-0-0_100085_2017-01-14_final
2017-01-25 10:04:27	ga_ls8c_ard_3-0-0_097086_2017-01-25_final
2017-02-03 09:57:48	ga_ls8c_ard_3-0-0_096085_2017-02-03_final
2017-02-03 09:58:12	ga_ls8c_ard_3-0-0_096086_2017-02-03_final
2017-02-05 09:45:25	ga_ls8c_ard_3-0-0_094085_2017-02-05_final
2017-02-05 09:45:49	ga_ls8c_ard_3-0-0_094086_2017-02-05_final
2017-02-19 09:57:41	ga_ls8c_ard_3-0-0_096085_2017-02-19_final
2017-02-19 09:58:05	ga_ls8c_ard_3-0-0_096086_2017-02-19_final
2017-02-19 11:36:34	ga_ls8c_ard_3-0-0_112085_2017-02-19_final
2017-02-21 09:45:43	ga_ls8c_ard_3-0-0_094086_2017-02-21_final
2017-02-21 11:24:12	ga_ls8c_ard_3-0-0_110085_2017-02-21_final
2017-03-07 09:57:35	ga_ls8c_ard_3-0-0_096085_2017-03-07_final
2017-03-07 09:57:58	ga_ls8c_ard_3-0-0_096086_2017-03-07_final
2017-03-07 11:36:28	ga_ls8c_ard_3-0-0_112085_2017-03-07_final
2017-03-09 09:45:12	ga_ls8c_ard_3-0-0_094085_2017-03-09_final
2017-03-09 09:45:36	ga_ls8c_ard_3-0-0_094086_2017-03-09_final
2017-03-09 11:24:05	ga_ls8c_ard_3-0-0_110085_2017-03-09_final
2017-03-21 10:10:11	ga_ls8c_ard_3-0-0_098086_2017-03-21_final
2017-03-22 09:14:33	ga_ls8c_ard_3-0-0_089086_2017-03-21_final
2017-04-01 09:51:34	ga_ls8c_ard_3-0-0_095086_2017-04-01_final
2017-04-03 09:39:11	ga_ls8c_ard_3-0-0_093086_2017-04-03_final
2017-04-04 10:22:03	ga_ls8c_ard_3-0-0_100085_2017-04-04_final
2017-04-06 10:10:04	ga_ls8c_ard_3-0-0_098086_2017-04-06_final
2017-04-07 09:14:02	ga_ls8c_ard_3-0-0_089085_2017-04-06_final
2017-04-07 09:14:26	ga_ls8c_ard_3-0-0_089086_2017-04-06_final
2017-04-17 09:51:26	ga_ls8c_ard_3-0-0_095086_2017-04-17_final
2017-04-17 11:29:55	ga_ls8c_ard_3-0-0_111085_2017-04-17_final
2017-04-19 09:39:03	ga_ls8c_ard_3-0-0_093086_2017-04-19_final
2017-04-22 10:09:55	ga_ls8c_ard_3-0-0_098086_2017-04-22_final
2017-04-23 09:13:53	ga_ls8c_ard_3-0-0_089085_2017-04-22_final
2017-04-23 09:14:17	ga_ls8c_ard_3-0-0_089086_2017-04-22_final
2017-06-20 09:51:19	ga_ls8c_ard_3-0-0_095085_2017-06-20_final
2017-06-20 09:51:43	ga_ls8c_ard_3-0-0_095086_2017-06-20_final
2017-06-20 11:30:12	ga_ls8c_ard_3-0-0_111085_2017-06-20_final
2017-06-22 09:38:58	ga_ls8c_ard_3-0-0_093085_2017-06-22_final
2017-06-22 09:39:22	ga_ls8c_ard_3-0-0_093086_2017-06-22_final
2017-06-22 11:17:51	ga_ls8c_ard_3-0-0_109085_2017-06-22_final
2017-06-23 10:22:14	ga_ls8c_ard_3-0-0_100085_2017-06-23_final
2017-06-24 09:26:37	ga_ls8c_ard_3-0-0_091085_2017-06-23_final
2017-06-24 09:27:01	ga_ls8c_ard_3-0-0_091086_2017-06-23_final
2017-06-24 11:05:30	ga_ls8c_ard_3-0-0_107085_2017-06-24_final
2017-06-25 10:09:53	ga_ls8c_ard_3-0-0_098085_2017-06-25_final
2017-06-25 10:10:17	ga_ls8c_ard_3-0-0_098086_2017-06-25_final
2017-06-26 09:14:16	ga_ls8c_ard_3-0-0_089085_2017-06-25_final
2017-06-26 09:14:40	ga_ls8c_ard_3-0-0_089086_2017-06-25_final
2017-07-06 09:51:23	ga_ls8c_ard_3-0-0_095085_2017-07-06_final
2017-07-06 09:51:47	ga_ls8c_ard_3-0-0_095086_2017-07-06_final
2017-07-06 11:30:16	ga_ls8c_ard_3-0-0_111085_2017-07-06_final
2017-07-08 09:39:02	ga_ls8c_ard_3-0-0_093085_2017-07-08_final
2017-07-08 09:39:26	ga_ls8c_ard_3-0-0_093086_2017-07-08_final
2017-07-08 11:17:55	ga_ls8c_ard_3-0-0_109085_2017-07-08_final
2017-07-09 10:22:17	ga_ls8c_ard_3-0-0_100085_2017-07-09_final
2018-10-18 10:09:59	ga_ls8c_ard_3-0-0_098085_2018-10-18_final
2018-10-18 10:10:23	ga_ls8c_ard_3-0-0_098086_2018-10-18_final
2018-10-19 09:14:22	ga_ls8c_ard_3-0-0_089085_2018-10-18_final
2018-10-19 09:14:46	ga_ls8c_ard_3-0-0_089086_2018-10-18_final
2018-10-24 09:32:56	ga_ls8c_ard_3-0-0_092085_2018-10-24_final
2018-10-24 09:33:20	ga_ls8c_ard_3-0-0_092086_2018-10-24_final
2018-10-24 11:11:49	ga_ls8c_ard_3-0-0_108085_2018-10-24_final
2018-10-25 10:16:12	ga_ls8c_ard_3-0-0_099085_2018-10-25_final
2018-10-26 09:20:35	ga_ls8c_ard_3-0-0_090085_2018-10-25_final
2018-10-26 09:20:59	ga_ls8c_ard_3-0-0_090086_2018-10-25_final
2018-10-27 10:03:51	ga_ls8c_ard_3-0-0_097085_2018-10-27_final
2018-10-27 10:04:15	ga_ls8c_ard_3-0-0_097086_2018-10-27_final
2018-11-28 10:03:52	ga_ls8c_ard_3-0-0_097085_2018-11-28_final
2018-11-28 10:04:16	ga_ls8c_ard_3-0-0_097086_2018-11-28_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
2018-12-11 09:33:20	ga_ls8c_ard_3-0-0_092086_2018-12-11_final
2018-12-11 11:11:49	ga_ls8c_ard_3-0-0_108085_2018-12-11_final
2018-12-12 10:16:11	ga_ls8c_ard_3-0-0_099085_2018-12-12_final
2018-12-13 09:20:33	ga_ls8c_ard_3-0-0_090085_2018-12-12_final
2018-12-13 09:20:57	ga_ls8c_ard_3-0-0_090086_2018-12-12_final
2018-12-14 10:03:49	ga_ls8c_ard_3-0-0_097085_2018-12-14_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