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
2013-04-28 09:16:40	ga_ls8c_ard_3-0-0_089086_2013-04-27_final
2013-04-29 09:59:56	ga_ls8c_ard_3-0-0_096086_2013-04-29_final
2013-05-01 09:47:36	ga_ls8c_ard_3-0-0_094086_2013-05-01_final
2013-05-26 09:41:41	ga_ls8c_ard_3-0-0_093086_2013-05-26_final
2013-07-02 09:59:45	ga_ls8c_ard_3-0-0_096085_2013-07-02_final
2013-07-02 10:00:09	ga_ls8c_ard_3-0-0_096086_2013-07-02_final
2013-07-18 09:59:44	ga_ls8c_ard_3-0-0_096085_2013-07-18_final
2013-07-18 10:00:08	ga_ls8c_ard_3-0-0_096086_2013-07-18_final
2013-07-20 09:47:22	ga_ls8c_ard_3-0-0_094085_2013-07-20_final
2013-07-20 09:47:46	ga_ls8c_ard_3-0-0_094086_2013-07-20_final
2013-07-24 09:22:39	ga_ls8c_ard_3-0-0_090085_2013-07-23_final
2013-07-24 09:23:03	ga_ls8c_ard_3-0-0_090086_2013-07-23_final
2013-07-27 09:53:34	ga_ls8c_ard_3-0-0_095085_2013-07-27_final
2013-07-27 09:53:58	ga_ls8c_ard_3-0-0_095086_2013-07-27_final
2013-08-09 09:22:42	ga_ls8c_ard_3-0-0_090085_2013-08-08_final
2013-08-10 10:05:58	ga_ls8c_ard_3-0-0_097085_2013-08-10_final
2013-08-12 09:54:00	ga_ls8c_ard_3-0-0_095086_2013-08-12_final
2013-08-28 09:54:02	ga_ls8c_ard_3-0-0_095086_2013-08-28_final
2013-09-11 10:05:57	ga_ls8c_ard_3-0-0_097085_2013-09-11_final
2013-09-13 09:53:35	ga_ls8c_ard_3-0-0_095085_2013-09-13_final
2013-09-13 09:53:59	ga_ls8c_ard_3-0-0_095086_2013-09-13_final
2013-09-15 09:41:13	ga_ls8c_ard_3-0-0_093085_2013-09-15_final
2013-09-15 09:41:37	ga_ls8c_ard_3-0-0_093086_2013-09-15_final
2013-10-29 10:05:40	ga_ls8c_ard_3-0-0_097085_2013-10-29_final
2013-10-31 09:53:43	ga_ls8c_ard_3-0-0_095086_2013-10-31_final
2013-11-13 09:22:25	ga_ls8c_ard_3-0-0_090085_2013-11-12_final
2013-11-13 09:22:49	ga_ls8c_ard_3-0-0_090086_2013-11-12_final
2013-11-14 10:05:40	ga_ls8c_ard_3-0-0_097085_2013-11-14_final
2015-01-15 09:45:26	ga_ls8c_ard_3-0-0_094085_2015-01-15_final
2015-01-15 09:45:50	ga_ls8c_ard_3-0-0_094086_2015-01-15_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
2015-04-05 09:44:47	ga_ls8c_ard_3-0-0_094085_2015-04-05_final
2015-04-05 09:45:11	ga_ls8c_ard_3-1-0_094086_2015-04-05_final
2015-04-05 11:23:40	ga_ls8c_ard_3-0-0_110085_2015-04-05_final
2017-04-05 09:26:49	ga_ls8c_ard_3-0-0_091086_2017-04-04_final
2017-04-05 11:05:18	ga_ls8c_ard_3-0-0_107085_2017-04-05_final
2017-04-06 10:09:40	ga_ls8c_ard_3-0-0_098085_2017-04-06_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
2017-04-08 09:57:18	ga_ls8c_ard_3-0-0_096085_2017-04-08_final
2017-04-08 09:57:42	ga_ls8c_ard_3-0-0_096086_2017-04-08_final
2017-04-08 11:36:11	ga_ls8c_ard_3-0-0_112085_2017-04-08_final
2017-05-05 09:38:32	ga_ls8c_ard_3-0-0_093085_2017-05-05_final
2017-05-05 09:38:56	ga_ls8c_ard_3-0-0_093086_2017-05-05_final
2017-05-05 11:17:25	ga_ls8c_ard_3-0-0_109085_2017-05-05_final
2017-05-06 10:21:48	ga_ls8c_ard_3-0-0_100085_2017-05-06_final
2017-05-07 09:26:12	ga_ls8c_ard_3-0-0_091085_2017-05-06_final
2017-05-07 09:26:36	ga_ls8c_ard_3-0-0_091086_2017-05-06_final
2017-05-07 11:05:05	ga_ls8c_ard_3-0-0_107085_2017-05-07_final
2017-06-09 10:09:48	ga_ls8c_ard_3-0-0_098085_2017-06-09_final
2017-06-09 10:10:12	ga_ls8c_ard_3-0-0_098086_2017-06-09_final
2017-06-10 09:14:11	ga_ls8c_ard_3-0-0_089085_2017-06-09_final
2017-06-10 09:14:35	ga_ls8c_ard_3-0-0_089086_2017-06-09_final
2017-06-11 09:57:27	ga_ls8c_ard_3-0-0_096085_2017-06-11_final
2017-06-11 09:57:51	ga_ls8c_ard_3-0-0_096086_2017-06-11_final
2017-06-11 11:36:20	ga_ls8c_ard_3-0-0_112085_2017-06-11_final
2017-08-28 10:10:14	ga_ls8c_ard_3-0-0_098085_2017-08-28_final
2017-08-28 10:10:38	ga_ls8c_ard_3-0-0_098086_2017-08-28_final
2017-08-29 09:14:37	ga_ls8c_ard_3-0-0_089085_2017-08-28_final
2017-08-29 09:15:00	ga_ls8c_ard_3-0-0_089086_2017-08-28_final
2017-08-30 09:57:52	ga_ls8c_ard_3-0-0_096085_2017-08-30_final
2017-08-30 09:58:16	ga_ls8c_ard_3-0-0_096086_2017-08-30_final
2017-08-30 11:36:45	ga_ls8c_ard_3-0-0_112085_2017-08-30_final
2018-02-27 10:16:02	ga_ls8c_ard_3-0-0_099085_2018-02-27_final
2018-02-28 09:20:24	ga_ls8c_ard_3-0-0_090085_2018-02-27_final
2018-02-28 09:20:48	ga_ls8c_ard_3-0-0_090086_2018-02-27_final
2018-03-01 10:03:39	ga_ls8c_ard_3-0-0_097085_2018-03-01_final
2018-03-01 10:04:03	ga_ls8c_ard_3-0-0_097086_2018-03-01_final
2018-03-12 09:45:01	ga_ls8c_ard_3-0-0_094085_2018-03-12_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
2018-03-14 09:33:02	ga_ls8c_ard_3-0-0_092086_2018-03-14_final
2018-03-14 11:11:31	ga_ls8c_ard_3-0-0_108085_2018-03-14_final
2018-03-19 09:51:08	ga_ls8c_ard_3-0-0_095085_2018-03-19_final
2018-03-19 09:51:32	ga_ls8c_ard_3-0-0_095086_2018-03-19_final
2018-03-19 11:30:01	ga_ls8c_ard_3-0-0_111085_2018-03-19_final
2018-05-22 09:50:55	ga_ls8c_ard_3-0-0_095086_2018-05-22_final
2018-05-22 11:29:24	ga_ls8c_ard_3-0-0_111085_2018-05-22_final
2018-07-05 10:15:24	ga_ls8c_ard_3-0-0_099085_2018-07-05_final
2018-07-06 09:19:47	ga_ls8c_ard_3-0-0_090085_2018-07-05_final
2018-07-06 09:20:11	ga_ls8c_ard_3-0-0_090086_2018-07-05_final
2018-07-07 10:03:03	ga_ls8c_ard_3-0-0_097085_2018-07-07_final
2018-07-07 10:03:27	ga_ls8c_ard_3-0-0_097086_2018-07-07_final
2019-08-11 10:04:04	ga_ls8c_ard_3-1-0_097085_2019-08-11_final
2019-08-11 10:04:28	ga_ls8c_ard_3-1-0_097086_2019-08-11_final
2019-08-13 09:51:43	ga_ls8c_ard_3-1-0_095085_2019-08-13_final
2019-08-13 09:52:07	ga_ls8c_ard_3-1-0_095086_2019-08-13_final
2019-08-13 11:30:36	ga_ls8c_ard_3-1-0_111085_2019-08-13_final
2019-08-15 09:39:22	ga_ls8c_ard_3-1-0_093085_2019-08-15_final
2019-08-15 09:39:46	ga_ls8c_ard_3-1-0_093086_2019-08-15_final
2019-08-15 11:18:15	ga_ls8c_ard_3-1-0_109085_2019-08-15_final
2019-08-16 10:22:38	ga_ls8c_ard_3-1-0_100085_2019-08-16_final
2019-08-29 09:51:47	ga_ls8c_ard_3-1-0_095085_2019-08-29_final
2019-08-29 09:52:11	ga_ls8c_ard_3-1-0_095086_2019-08-29_final
2019-08-29 11:30:40	ga_ls8c_ard_3-1-0_111085_2019-08-29_final
2019-10-25 09:45:48	ga_ls8c_ard_3-1-0_094085_2019-10-25_final
2019-10-25 09:46:12	ga_ls8c_ard_3-1-0_094086_2019-10-25_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