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
2014-06-30 09:39:47	ga_ls8c_ard_3-0-0_093087_2014-06-30_final
2014-06-30 09:40:11	ga_ls8c_ard_3-0-0_093088_2014-06-30_final
2014-07-02 09:27:27	ga_ls8c_ard_3-0-0_091087_2014-07-01_final
2014-07-02 09:27:51	ga_ls8c_ard_3-0-0_091088_2014-07-01_final
2014-07-16 09:39:54	ga_ls8c_ard_3-0-0_093087_2014-07-16_final
2014-07-16 09:40:18	ga_ls8c_ard_3-0-0_093088_2014-07-16_final
2014-07-18 09:27:33	ga_ls8c_ard_3-0-0_091087_2014-07-17_final
2014-07-18 09:27:57	ga_ls8c_ard_3-0-0_091088_2014-07-17_final
2014-07-27 09:21:24	ga_ls8c_ard_3-0-0_090087_2014-07-26_final
2014-07-27 09:21:48	ga_ls8c_ard_3-0-0_090088_2014-07-26_final
2014-08-10 09:33:53	ga_ls8c_ard_3-0-0_092087_2014-08-10_final
2014-08-10 09:34:17	ga_ls8c_ard_3-0-0_092088_2014-08-10_final
2014-08-12 09:21:32	ga_ls8c_ard_3-0-0_090087_2014-08-11_final
2014-08-12 09:21:56	ga_ls8c_ard_3-0-0_090088_2014-08-11_final
2014-08-26 09:33:56	ga_ls8c_ard_3-0-0_092087_2014-08-26_final
2014-08-26 09:34:20	ga_ls8c_ard_3-0-0_092088_2014-08-26_final
2014-08-28 09:21:34	ga_ls8c_ard_3-0-0_090087_2014-08-27_final
2014-08-28 09:21:58	ga_ls8c_ard_3-0-0_090088_2014-08-27_final
2014-09-11 09:34:00	ga_ls8c_ard_3-0-0_092087_2014-09-11_final
2014-09-11 09:34:24	ga_ls8c_ard_3-0-0_092088_2014-09-11_final
2014-09-13 09:21:38	ga_ls8c_ard_3-0-0_090087_2014-09-12_final
2014-09-13 09:22:02	ga_ls8c_ard_3-0-0_090088_2014-09-12_final
2014-10-20 09:40:16	ga_ls8c_ard_3-0-0_093087_2014-10-20_final
2014-10-20 09:40:40	ga_ls8c_ard_3-0-0_093088_2014-10-20_final
2014-11-07 09:27:54	ga_ls8c_ard_3-0-0_091087_2014-11-06_final
2014-11-07 09:28:18	ga_ls8c_ard_3-0-0_091088_2014-11-06_final
2014-11-21 09:40:11	ga_ls8c_ard_3-0-0_093087_2014-11-21_final
2014-11-21 09:40:35	ga_ls8c_ard_3-0-0_093088_2014-11-21_final
2014-12-07 09:40:10	ga_ls8c_ard_3-0-0_093087_2014-12-07_final
2014-12-07 09:40:34	ga_ls8c_ard_3-0-0_093088_2014-12-07_final
2014-12-09 09:27:47	ga_ls8c_ard_3-0-0_091087_2014-12-08_final
2014-12-09 09:28:11	ga_ls8c_ard_3-0-0_091088_2014-12-08_final
2014-12-14 09:46:18	ga_ls8c_ard_3-0-0_094087_2014-12-14_final
2014-12-16 09:34:22	ga_ls8c_ard_3-0-0_092088_2014-12-16_final
2014-12-18 09:22:01	ga_ls8c_ard_3-0-0_090088_2014-12-17_final
2015-01-01 09:33:52	ga_ls8c_ard_3-0-0_092087_2015-01-01_final
2015-01-01 09:34:16	ga_ls8c_ard_3-0-0_092088_2015-01-01_final
2015-01-03 09:21:31	ga_ls8c_ard_3-0-0_090087_2015-01-02_final
2015-01-03 09:21:55	ga_ls8c_ard_3-0-0_090088_2015-01-02_final
2018-03-05 09:40:06	ga_ls8c_ard_3-0-0_093088_2018-03-05_final
2018-03-07 09:27:43	ga_ls8c_ard_3-0-0_091088_2018-03-06_final
2018-03-21 09:39:57	ga_ls8c_ard_3-0-0_093088_2018-03-21_final
2018-03-23 09:27:35	ga_ls8c_ard_3-0-0_091088_2018-03-22_final
2018-04-06 09:39:50	ga_ls8c_ard_3-0-0_093088_2018-04-06_final
2018-04-08 09:27:27	ga_ls8c_ard_3-0-0_091088_2018-04-07_final
2018-04-22 09:39:40	ga_ls8c_ard_3-0-0_093088_2018-04-22_final
2018-04-24 09:27:18	ga_ls8c_ard_3-0-0_091088_2018-04-23_final
2018-05-08 09:39:31	ga_ls8c_ard_3-0-0_093088_2018-05-08_final
2018-05-10 09:27:09	ga_ls8c_ard_3-0-0_091088_2018-05-09_final
2018-05-24 09:39:20	ga_ls8c_ard_3-0-0_093088_2018-05-24_final
2018-05-26 09:26:56	ga_ls8c_ard_3-0-0_091088_2018-05-25_final
2018-06-09 09:38:51	ga_ls8c_ard_3-0-0_093087_2018-06-09_final
2018-06-09 09:39:15	ga_ls8c_ard_3-0-0_093088_2018-06-09_final
2018-06-11 09:26:31	ga_ls8c_ard_3-0-0_091087_2018-06-10_final
2018-06-11 09:26:55	ga_ls8c_ard_3-0-0_091088_2018-06-10_final
2018-06-25 09:39:02	ga_ls8c_ard_3-0-0_093087_2018-06-25_final
2018-06-25 09:39:26	ga_ls8c_ard_3-0-0_093088_2018-06-25_final
2018-06-27 09:26:41	ga_ls8c_ard_3-0-0_091087_2018-06-26_final
2018-06-27 09:27:05	ga_ls8c_ard_3-0-0_091088_2018-06-26_final
2018-07-11 09:39:10	ga_ls8c_ard_3-0-0_093087_2018-07-11_final
2018-07-11 09:39:34	ga_ls8c_ard_3-0-0_093088_2018-07-11_final
2018-07-13 09:26:49	ga_ls8c_ard_3-0-0_091087_2018-07-12_final
2018-07-13 09:27:13	ga_ls8c_ard_3-0-0_091088_2018-07-12_final
2018-07-15 09:14:29	ga_ls8c_ard_3-0-0_089087_2018-07-14_final
2018-07-15 09:14:53	ga_ls8c_ard_3-0-0_089088_2018-07-14_final
2018-07-16 09:57:45	ga_ls8c_ard_3-0-0_096087_2018-07-16_final
2018-07-20 09:33:03	ga_ls8c_ard_3-0-0_092087_2018-07-20_final
2018-07-20 09:33:27	ga_ls8c_ard_3-0-0_092088_2018-07-20_final
2018-07-22 09:20:42	ga_ls8c_ard_3-0-0_090087_2018-07-21_final
2018-07-22 09:21:06	ga_ls8c_ard_3-0-0_090088_2018-07-21_final
2021-01-06 09:53:02	ga_ls8c_ard_3-2-0_095088_2021-01-06_final
2021-01-12 09:15:31	ga_ls8c_ard_3-2-0_089087_2021-01-11_final
2021-01-12 09:15:55	ga_ls8c_ard_3-2-0_089088_2021-01-11_final
2021-01-13 09:58:46	ga_ls8c_ard_3-2-0_096087_2021-01-13_final
2021-01-19 09:21:38	ga_ls8c_ard_3-2-0_090087_2021-01-18_final
2021-01-19 09:22:02	ga_ls8c_ard_3-2-0_090088_2021-01-18_final
2021-01-22 09:52:32	ga_ls8c_ard_3-2-0_095087_2021-01-22_final
2021-01-22 09:52:56	ga_ls8c_ard_3-2-0_095088_2021-01-22_final
2021-01-24 09:40:10	ga_ls8c_ard_3-2-0_093087_2021-01-24_final
2021-01-24 09:40:34	ga_ls8c_ard_3-2-0_093088_2021-01-24_final
2021-01-26 09:27:49	ga_ls8c_ard_3-2-0_091087_2021-01-25_final
2021-01-26 09:28:12	ga_ls8c_ard_3-2-0_091088_2021-01-25_final
2021-01-28 09:15:51	ga_ls8c_ard_3-2-0_089088_2021-01-27_final
2021-02-02 09:33:59	ga_ls8c_ard_3-2-0_092087_2021-02-02_final
2021-02-02 09:34:22	ga_ls8c_ard_3-2-0_092088_2021-02-02_final
2021-02-04 09:21:37	ga_ls8c_ard_3-2-0_090087_2021-02-03_final
2021-02-04 09:22:01	ga_ls8c_ard_3-2-0_090088_2021-02-03_final
2021-02-07 09:52:54	ga_ls8c_ard_3-2-0_095088_2021-02-07_final
2021-02-09 09:40:32	ga_ls8c_ard_3-2-0_093088_2021-02-09_final
2021-02-11 09:28:10	ga_ls8c_ard_3-2-0_091088_2021-02-10_final
2021-02-13 09:15:24	ga_ls8c_ard_3-2-0_089087_2021-02-12_final
2021-02-13 09:15:48	ga_ls8c_ard_3-2-0_089088_2021-02-12_final
2021-02-16 09:46:41	ga_ls8c_ard_3-2-0_094088_2021-02-16_final
2021-02-23 09:52:49	ga_ls8c_ard_3-2-0_095088_2021-02-23_final
2021-02-25 09:40:27	ga_ls8c_ard_3-2-0_093088_2021-02-25_final
2021-02-27 09:28:04	ga_ls8c_ard_3-2-0_091088_2021-02-26_final
2021-03-01 09:15:42	ga_ls8c_ard_3-2-0_089088_2021-02-28_final
2021-03-08 09:21:49	ga_ls8c_ard_3-2-0_090088_2021-03-07_final
2021-03-11 09:52:41	ga_ls8c_ard_3-2-0_095088_2021-03-11_final
2021-03-13 09:40:18	ga_ls8c_ard_3-2-0_093088_2021-03-13_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