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
2015-08-30 10:16:07	ga_ls8c_ard_3-0-0_099085_2015-08-30_final
2015-08-31 09:20:30	ga_ls8c_ard_3-0-0_090085_2015-08-30_final
2015-08-31 09:20:54	ga_ls8c_ard_3-0-0_090086_2015-08-30_final
2015-09-01 10:03:46	ga_ls8c_ard_3-0-0_097085_2015-09-01_final
2015-09-01 10:04:10	ga_ls8c_ard_3-0-0_097086_2015-09-01_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
2015-09-12 09:45:19	ga_ls8c_ard_3-0-0_094085_2015-09-12_final
2015-09-12 09:45:43	ga_ls8c_ard_3-0-0_094086_2015-09-12_final
2015-09-12 11:24:12	ga_ls8c_ard_3-0-0_110085_2015-09-12_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
2016-01-18 09:45:54	ga_ls8c_ard_3-0-0_094086_2016-01-18_final
2016-04-30 09:51:35	ga_ls8c_ard_3-0-0_095086_2016-04-30_final
2016-05-09 09:44:59	ga_ls8c_ard_3-0-0_094085_2016-05-09_final
2016-05-09 09:45:23	ga_ls8c_ard_3-0-0_094086_2016-05-09_final
2016-05-09 11:23:52	ga_ls8c_ard_3-0-0_110085_2016-05-09_final
2017-09-28 09:27:29	ga_ls8c_ard_3-0-0_091086_2017-09-27_final
2017-09-28 11:05:58	ga_ls8c_ard_3-0-0_107085_2017-09-28_final
2017-11-15 09:27:07	ga_ls8c_ard_3-0-0_091085_2017-11-14_final
2017-11-15 09:27:31	ga_ls8c_ard_3-0-0_091086_2017-11-14_final
2017-11-23 10:16:31	ga_ls8c_ard_3-0-0_099085_2017-11-23_final
2017-11-24 09:20:53	ga_ls8c_ard_3-0-0_090085_2017-11-23_final
2017-11-24 09:21:17	ga_ls8c_ard_3-0-0_090086_2017-11-23_final
2017-11-25 10:04:08	ga_ls8c_ard_3-0-0_097085_2017-11-25_final
2017-11-25 10:04:32	ga_ls8c_ard_3-0-0_097086_2017-11-25_final
2017-12-02 10:10:17	ga_ls8c_ard_3-0-0_098085_2017-12-02_final
2017-12-02 10:10:41	ga_ls8c_ard_3-0-0_098086_2017-12-02_final
2017-12-03 09:14:39	ga_ls8c_ard_3-0-0_089085_2017-12-02_final
2017-12-03 09:15:03	ga_ls8c_ard_3-0-0_089086_2017-12-02_final
2017-12-04 09:57:55	ga_ls8c_ard_3-0-0_096085_2017-12-04_final
2017-12-04 09:58:19	ga_ls8c_ard_3-0-0_096086_2017-12-04_final
2017-12-15 09:39:48	ga_ls8c_ard_3-0-0_093086_2017-12-15_final
2017-12-15 11:18:17	ga_ls8c_ard_3-0-0_109085_2017-12-15_final
2017-12-16 10:22:40	ga_ls8c_ard_3-0-0_100085_2017-12-16_final
2017-12-17 09:27:27	ga_ls8c_ard_3-0-0_091086_2017-12-16_final
2017-12-17 11:05:56	ga_ls8c_ard_3-0-0_107085_2017-12-17_final
2017-12-18 10:10:19	ga_ls8c_ard_3-0-0_098085_2017-12-18_final
2017-12-18 10:10:43	ga_ls8c_ard_3-0-0_098086_2017-12-18_final
2017-12-19 09:14:42	ga_ls8c_ard_3-0-0_089085_2017-12-18_final
2017-12-19 09:15:06	ga_ls8c_ard_3-0-0_089086_2017-12-18_final
2017-12-20 09:58:22	ga_ls8c_ard_3-0-0_096086_2017-12-20_final
2017-12-20 11:36:51	ga_ls8c_ard_3-0-0_112085_2017-12-20_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
2018-02-01 09:39:31	ga_ls8c_ard_3-0-0_093086_2018-02-01_final
2018-02-01 11:18:00	ga_ls8c_ard_3-0-0_109085_2018-02-01_final
2018-02-03 09:27:08	ga_ls8c_ard_3-0-0_091086_2018-02-02_final
2018-06-07 09:50:23	ga_ls8c_ard_3-0-0_095085_2018-06-07_final
2018-06-07 09:50:47	ga_ls8c_ard_3-0-0_095086_2018-06-07_final
2018-06-07 11:29:16	ga_ls8c_ard_3-0-0_111085_2018-06-07_final
2018-06-19 10:15:15	ga_ls8c_ard_3-0-0_099085_2018-06-19_final
2018-06-20 09:19:38	ga_ls8c_ard_3-0-0_090085_2018-06-19_final
2018-06-20 09:20:02	ga_ls8c_ard_3-0-0_090086_2018-06-19_final
2018-06-21 10:02:54	ga_ls8c_ard_3-0-0_097085_2018-06-21_final
2018-06-21 10:03:18	ga_ls8c_ard_3-0-0_097086_2018-06-21_final
2019-12-07 09:27:35	ga_ls8c_ard_3-1-0_091086_2019-12-06_final
2019-12-07 11:06:04	ga_ls8c_ard_3-1-0_107085_2019-12-07_final
2019-12-08 10:10:27	ga_ls8c_ard_3-1-0_098085_2019-12-08_final
2019-12-08 10:10:51	ga_ls8c_ard_3-1-0_098086_2019-12-08_final
2019-12-25 09:14:46	ga_ls8c_ard_3-1-0_089085_2019-12-24_final
2019-12-25 09:15:10	ga_ls8c_ard_3-1-0_089086_2019-12-24_final
2019-12-26 09:58:01	ga_ls8c_ard_3-1-0_096085_2019-12-26_final
2019-12-26 09:58:25	ga_ls8c_ard_3-1-0_096086_2019-12-26_final
2019-12-26 11:36:54	ga_ls8c_ard_3-1-0_112085_2019-12-26_final
2020-01-01 09:21:19	ga_ls8c_ard_3-1-0_090086_2019-12-31_final
2020-01-02 10:04:34	ga_ls8c_ard_3-1-0_097086_2020-01-02_final
2020-02-07 09:39:41	ga_ls8c_ard_3-1-0_093086_2020-02-07_final
2020-02-08 10:22:33	ga_ls8c_ard_3-1-0_100085_2020-02-08_final
2020-02-21 09:51:36	ga_ls8c_ard_3-1-0_095085_2020-02-21_final
2020-02-21 09:52:00	ga_ls8c_ard_3-1-0_095086_2020-02-21_final
2020-02-21 11:30:29	ga_ls8c_ard_3-1-0_111085_2020-02-21_final
2020-02-26 10:10:07	ga_ls8c_ard_3-1-0_098085_2020-02-26_final
2020-02-27 09:14:29	ga_ls8c_ard_3-1-0_089085_2020-02-26_final
2020-02-27 09:14:53	ga_ls8c_ard_3-1-0_089086_2020-02-26_final
2020-03-14 09:14:23	ga_ls8c_ard_3-1-0_089085_2020-03-13_final
2020-03-14 09:14:47	ga_ls8c_ard_3-1-0_089086_2020-03-13_final
2020-03-15 09:58:02	ga_ls8c_ard_3-1-0_096086_2020-03-15_final
2020-03-22 10:04:09	ga_ls8c_ard_3-1-0_097086_2020-03-22_final
2020-03-24 09:51:22	ga_ls8c_ard_3-1-0_095085_2020-03-24_final
2020-03-24 09:51:46	ga_ls8c_ard_3-1-0_095086_2020-03-24_final
2020-03-26 09:39:23	ga_ls8c_ard_3-1-0_093086_2020-03-26_final
2020-03-28 09:27:00	ga_ls8c_ard_3-1-0_091086_2020-03-27_final
2020-03-31 09:57:53	ga_ls8c_ard_3-1-0_096086_2020-03-31_final
2020-04-14 10:10:08	ga_ls8c_ard_3-1-0_098086_2020-04-14_final
2020-04-15 09:14:31	ga_ls8c_ard_3-1-0_089086_2020-04-14_final
2020-05-15 09:26:17	ga_ls8c_ard_3-1-0_091085_2020-05-14_final
2020-05-15 09:26:41	ga_ls8c_ard_3-1-0_091086_2020-05-14_final
2020-05-15 11:05:10	ga_ls8c_ard_3-1-0_107085_2020-05-15_final
2020-05-16 10:09:33	ga_ls8c_ard_3-1-0_098085_2020-05-16_final
2020-05-16 10:09:57	ga_ls8c_ard_3-1-0_098086_2020-05-16_final
2020-05-17 09:13:56	ga_ls8c_ard_3-1-0_089085_2020-05-16_final
2020-05-17 09:14:20	ga_ls8c_ard_3-1-0_089086_2020-05-16_final
2020-05-18 09:57:12	ga_ls8c_ard_3-1-0_096085_2020-05-18_final
2020-05-18 09:57:36	ga_ls8c_ard_3-1-0_096086_2020-05-18_final
2020-05-18 11:36:05	ga_ls8c_ard_3-1-0_112085_2020-05-18_final
2020-05-25 10:03:24	ga_ls8c_ard_3-1-0_097085_2020-05-25_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