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
2013-07-24 09:23:03	ga_ls8c_ard_3-0-0_090086_2013-07-23_final
2013-07-24 09:23:27	ga_ls8c_ard_3-0-0_090087_2013-07-23_final
2013-07-27 09:53:58	ga_ls8c_ard_3-0-0_095086_2013-07-27_final
2013-07-27 09:54:22	ga_ls8c_ard_3-0-0_095087_2013-07-27_final
2013-08-02 09:16:55	ga_ls8c_ard_3-0-0_089086_2013-08-01_final
2013-08-03 10:00:11	ga_ls8c_ard_3-0-0_096086_2013-08-03_final
2013-08-19 10:00:12	ga_ls8c_ard_3-0-0_096086_2013-08-19_final
2013-10-28 09:23:12	ga_ls8c_ard_3-0-0_090087_2013-10-27_final
2013-10-31 09:54:07	ga_ls8c_ard_3-0-0_095087_2013-10-31_final
2013-11-13 09:22:49	ga_ls8c_ard_3-0-0_090086_2013-11-12_final
2013-11-13 09:23:13	ga_ls8c_ard_3-0-0_090087_2013-11-12_final
2013-12-06 09:29:17	ga_ls8c_ard_3-1-0_091087_2013-12-05_final
2014-01-28 09:46:55	ga_ls8c_ard_3-0-0_094086_2014-01-28_final
2014-01-28 09:47:19	ga_ls8c_ard_3-0-0_094087_2014-01-28_final
2014-01-30 09:34:56	ga_ls8c_ard_3-0-0_092087_2014-01-30_final
2014-04-09 09:52:30	ga_ls8c_ard_3-0-0_095087_2014-04-09_final
2014-04-11 09:40:06	ga_ls8c_ard_3-0-0_093087_2014-04-11_final
2014-04-27 09:39:27	ga_ls8c_ard_3-0-0_093086_2014-04-27_final
2014-04-27 09:39:51	ga_ls8c_ard_3-0-0_093087_2014-04-27_final
2014-05-04 09:45:53	ga_ls8c_ard_3-0-0_094087_2014-05-04_final
2014-05-06 09:33:29	ga_ls8c_ard_3-0-0_092087_2014-05-06_final
2014-05-08 09:21:06	ga_ls8c_ard_3-0-0_090087_2014-05-07_final
2014-05-18 09:57:42	ga_ls8c_ard_3-0-0_096086_2014-05-18_final
2014-05-20 09:45:19	ga_ls8c_ard_3-0-0_094086_2014-05-20_final
2014-05-20 09:45:43	ga_ls8c_ard_3-0-0_094087_2014-05-20_final
2014-05-22 09:32:57	ga_ls8c_ard_3-0-0_092086_2014-05-22_final
2014-05-22 09:33:21	ga_ls8c_ard_3-0-0_092087_2014-05-22_final
2014-06-02 09:14:31	ga_ls8c_ard_3-0-0_089086_2014-06-01_final
2014-06-03 09:57:48	ga_ls8c_ard_3-0-0_096086_2014-06-03_final
2014-06-19 09:57:53	ga_ls8c_ard_3-0-0_096086_2014-06-19_final
2014-07-23 09:45:41	ga_ls8c_ard_3-0-0_094086_2014-07-23_final
2014-07-23 09:46:05	ga_ls8c_ard_3-0-0_094087_2014-07-23_final
2014-07-25 09:33:20	ga_ls8c_ard_3-0-0_092086_2014-07-25_final
2014-07-25 09:33:44	ga_ls8c_ard_3-0-0_092087_2014-07-25_final
2014-07-27 09:21:00	ga_ls8c_ard_3-0-0_090086_2014-07-26_final
2014-07-27 09:21:24	ga_ls8c_ard_3-0-0_090087_2014-07-26_final
2014-08-17 09:39:42	ga_ls8c_ard_3-0-0_093086_2014-08-17_final
2014-08-17 09:40:06	ga_ls8c_ard_3-0-0_093087_2014-08-17_final
2014-08-19 09:27:21	ga_ls8c_ard_3-0-0_091086_2014-08-18_final
2014-08-19 09:27:45	ga_ls8c_ard_3-0-0_091087_2014-08-18_final
2014-08-21 09:14:59	ga_ls8c_ard_3-0-0_089086_2014-08-20_final
2014-10-08 09:15:06	ga_ls8c_ard_3-0-0_089086_2014-10-07_final
2014-10-09 09:58:22	ga_ls8c_ard_3-0-0_096086_2014-10-09_final
2014-10-11 09:46:01	ga_ls8c_ard_3-0-0_094086_2014-10-11_final
2014-10-11 09:46:25	ga_ls8c_ard_3-0-0_094087_2014-10-11_final
2014-10-20 09:39:52	ga_ls8c_ard_3-0-0_093086_2014-10-20_final
2014-10-20 09:40:16	ga_ls8c_ard_3-0-0_093087_2014-10-20_final
2014-10-22 09:27:30	ga_ls8c_ard_3-0-0_091086_2014-10-21_final
2014-10-22 09:27:54	ga_ls8c_ard_3-1-0_091087_2014-10-21_final
2014-10-24 09:15:08	ga_ls8c_ard_3-0-0_089086_2014-10-23_final
2014-11-19 09:52:10	ga_ls8c_ard_3-0-0_095086_2014-11-19_final
2014-11-19 09:52:34	ga_ls8c_ard_3-0-0_095087_2014-11-19_final
2014-11-26 09:58:22	ga_ls8c_ard_3-0-0_096086_2014-11-26_final
2014-11-28 09:46:00	ga_ls8c_ard_3-0-0_094086_2014-11-28_final
2014-11-28 09:46:24	ga_ls8c_ard_3-0-0_094087_2014-11-28_final
2014-11-30 09:33:39	ga_ls8c_ard_3-0-0_092086_2014-11-30_final
2014-11-30 09:34:03	ga_ls8c_ard_3-0-0_092087_2014-11-30_final
2014-12-02 09:21:17	ga_ls8c_ard_3-0-0_090086_2014-12-01_final
2014-12-02 09:21:41	ga_ls8c_ard_3-0-0_090087_2014-12-01_final
2014-12-05 09:52:09	ga_ls8c_ard_3-0-0_095086_2014-12-05_final
2014-12-05 09:52:33	ga_ls8c_ard_3-0-0_095087_2014-12-05_final
2017-04-28 09:32:46	ga_ls8c_ard_3-0-0_092086_2017-04-28_final
2017-04-28 09:33:09	ga_ls8c_ard_3-0-0_092087_2017-04-28_final
2017-06-02 10:03:58	ga_ls8c_ard_3-0-0_097086_2017-06-02_final
2017-06-04 09:51:37	ga_ls8c_ard_3-0-0_095086_2017-06-04_final
2017-06-04 09:52:01	ga_ls8c_ard_3-0-0_095087_2017-06-04_final
2017-06-13 09:45:30	ga_ls8c_ard_3-0-0_094086_2017-06-13_final
2017-06-13 09:45:54	ga_ls8c_ard_3-0-0_094087_2017-06-13_final
2017-06-24 09:27:01	ga_ls8c_ard_3-0-0_091086_2017-06-23_final
2017-06-24 09:27:25	ga_ls8c_ard_3-0-0_091087_2017-06-23_final
2017-07-20 10:04:13	ga_ls8c_ard_3-0-0_097086_2017-07-20_final
2017-07-31 09:45:46	ga_ls8c_ard_3-0-0_094086_2017-07-31_final
2017-07-31 09:46:10	ga_ls8c_ard_3-0-0_094087_2017-07-31_final
2017-08-02 09:33:25	ga_ls8c_ard_3-0-0_092086_2017-08-02_final
2017-08-02 09:33:49	ga_ls8c_ard_3-0-0_092087_2017-08-02_final
2017-08-09 09:39:39	ga_ls8c_ard_3-0-0_093086_2017-08-09_final
2017-08-09 09:40:03	ga_ls8c_ard_3-0-0_093087_2017-08-09_final
2017-08-16 09:45:52	ga_ls8c_ard_3-0-0_094086_2017-08-16_final
2017-08-16 09:46:16	ga_ls8c_ard_3-0-0_094087_2017-08-16_final
2017-08-18 09:33:31	ga_ls8c_ard_3-0-0_092086_2017-08-18_final
2017-08-18 09:33:55	ga_ls8c_ard_3-0-0_092087_2017-08-18_final
2017-08-25 09:39:43	ga_ls8c_ard_3-0-0_093086_2017-08-25_final
2017-08-25 09:40:07	ga_ls8c_ard_3-0-0_093087_2017-08-25_final
2017-08-27 09:27:22	ga_ls8c_ard_3-0-0_091086_2017-08-26_final
2017-08-27 09:27:46	ga_ls8c_ard_3-0-0_091087_2017-08-26_final
2018-02-19 09:27:03	ga_ls8c_ard_3-0-0_091086_2018-02-18_final
2018-02-19 09:27:27	ga_ls8c_ard_3-0-0_091087_2018-02-18_final
2018-02-20 10:10:18	ga_ls8c_ard_3-0-0_098086_2018-02-20_final
2018-02-21 09:14:41	ga_ls8c_ard_3-0-0_089086_2018-02-20_final
2018-02-21 09:15:05	ga_ls8c_ard_3-0-0_089087_2018-02-20_final
2018-02-22 09:57:56	ga_ls8c_ard_3-0-0_096086_2018-02-22_final
2018-02-22 09:58:20	ga_ls8c_ard_3-0-0_096087_2018-02-22_final
2018-03-12 09:45:48	ga_ls8c_ard_3-0-0_094087_2018-03-12_final
2018-03-14 09:33:02	ga_ls8c_ard_3-0-0_092086_2018-03-14_final
2018-03-14 09:33:26	ga_ls8c_ard_3-0-0_092087_2018-03-14_final
2018-04-04 09:51:49	ga_ls8c_ard_3-0-0_095087_2018-04-04_final
2018-05-15 09:45:14	ga_ls8c_ard_3-0-0_094087_2018-05-15_final
2018-05-17 09:32:26	ga_ls8c_ard_3-0-0_092086_2018-05-17_final
2018-05-17 09:32:50	ga_ls8c_ard_3-0-0_092087_2018-05-17_final
2018-07-18 09:45:00	ga_ls8c_ard_3-0-0_094086_2018-07-18_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