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
2014-12-07 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
2014-12-16 09:33:58	ga_ls8c_ard_3-0-0_092087_2014-12-16_final
2014-12-16 09:34:22	ga_ls8c_ard_3-0-0_092088_2014-12-16_final
2014-12-18 09:21:37	ga_ls8c_ard_3-0-0_090087_2014-12-17_final
2014-12-18 09:22:01	ga_ls8c_ard_3-0-0_090088_2014-12-17_final
2014-12-23 09:40:09	ga_ls8c_ard_3-0-0_093087_2014-12-23_final
2014-12-23 09:40:33	ga_ls8c_ard_3-0-0_093088_2014-12-23_final
2014-12-25 09:27:46	ga_ls8c_ard_3-0-0_091087_2014-12-24_final
2014-12-25 09:28:10	ga_ls8c_ard_3-0-0_091088_2014-12-24_final
2015-03-06 09:33:58	ga_ls8c_ard_3-0-0_092088_2015-03-06_final
2015-03-29 09:39:30	ga_ls8c_ard_3-0-0_093087_2015-03-29_final
2015-03-29 09:39:54	ga_ls8c_ard_3-0-0_093088_2015-03-29_final
2015-04-21 09:45:58	ga_ls8c_ard_3-0-0_094088_2015-04-21_final
2015-04-23 09:33:12	ga_ls8c_ard_3-0-0_092087_2015-04-23_final
2015-04-23 09:33:36	ga_ls8c_ard_3-0-0_092088_2015-04-23_final
2015-06-06 09:57:46	ga_ls8c_ard_3-0-0_096087_2015-06-06_final
2015-06-08 09:45:26	ga_ls8c_ard_3-0-0_094087_2015-06-08_final
2015-06-08 09:45:50	ga_ls8c_ard_3-0-0_094088_2015-06-08_final
2015-06-15 09:51:40	ga_ls8c_ard_3-0-0_095087_2015-06-15_final
2015-06-15 09:52:04	ga_ls8c_ard_3-0-0_095088_2015-06-15_final
2015-06-17 09:39:20	ga_ls8c_ard_3-0-0_093087_2015-06-17_final
2015-06-17 09:39:44	ga_ls8c_ard_3-0-0_093088_2015-06-17_final
2015-06-24 09:45:32	ga_ls8c_ard_3-0-0_094087_2015-06-24_final
2015-06-24 09:45:56	ga_ls8c_ard_3-0-0_094088_2015-06-24_final
2015-07-01 09:51:47	ga_ls8c_ard_3-0-0_095087_2015-07-01_final
2015-07-01 09:52:11	ga_ls8c_ard_3-0-0_095088_2015-07-01_final
2015-07-03 09:39:27	ga_ls8c_ard_3-0-0_093087_2015-07-03_final
2015-07-03 09:39:51	ga_ls8c_ard_3-0-0_093088_2015-07-03_final
2015-07-26 09:45:49	ga_ls8c_ard_3-0-0_094087_2015-07-26_final
2015-07-26 09:46:13	ga_ls8c_ard_3-0-0_094088_2015-07-26_final
2015-08-18 09:52:07	ga_ls8c_ard_3-0-0_095087_2015-08-18_final
2015-08-18 09:52:31	ga_ls8c_ard_3-0-0_095088_2015-08-18_final
2015-08-20 09:39:47	ga_ls8c_ard_3-0-0_093087_2015-08-20_final
2015-08-20 09:40:11	ga_ls8c_ard_3-0-0_093088_2015-08-20_final
2017-07-13 09:58:23	ga_ls8c_ard_3-0-0_096087_2017-07-13_final
2017-07-15 09:46:02	ga_ls8c_ard_3-0-0_094087_2017-07-15_final
2017-07-15 09:46:26	ga_ls8c_ard_3-0-0_094088_2017-07-15_final
2017-07-22 09:52:16	ga_ls8c_ard_3-0-0_095087_2017-07-22_final
2017-07-22 09:52:40	ga_ls8c_ard_3-0-0_095088_2017-07-22_final
2017-07-24 09:39:56	ga_ls8c_ard_3-0-0_093087_2017-07-24_final
2017-07-24 09:40:20	ga_ls8c_ard_3-0-0_093088_2017-07-24_final
2017-07-26 09:27:35	ga_ls8c_ard_3-1-0_091087_2017-07-25_final
2017-07-26 09:27:59	ga_ls8c_ard_3-0-0_091088_2017-07-25_final
2017-08-02 09:33:49	ga_ls8c_ard_3-0-0_092087_2017-08-02_final
2017-08-02 09:34:13	ga_ls8c_ard_3-0-0_092088_2017-08-02_final
2017-08-04 09:21:28	ga_ls8c_ard_3-0-0_090087_2017-08-03_final
2017-08-04 09:21:52	ga_ls8c_ard_3-0-0_090088_2017-08-03_final
2017-08-11 09:27:42	ga_ls8c_ard_3-0-0_091087_2017-08-10_final
2017-08-11 09:28:06	ga_ls8c_ard_3-0-0_091088_2017-08-10_final
2017-08-18 09:33:55	ga_ls8c_ard_3-0-0_092087_2017-08-18_final
2017-08-18 09:34:19	ga_ls8c_ard_3-0-0_092088_2017-08-18_final
2017-08-20 09:21:34	ga_ls8c_ard_3-0-0_090087_2017-08-19_final
2017-08-20 09:21:57	ga_ls8c_ard_3-0-0_090088_2017-08-19_final
2017-08-29 09:15:24	ga_ls8c_ard_3-0-0_089087_2017-08-28_final
2017-08-29 09:15:48	ga_ls8c_ard_3-0-0_089088_2017-08-28_final
2017-08-30 09:58:40	ga_ls8c_ard_3-0-0_096087_2017-08-30_final
2017-09-05 09:21:36	ga_ls8c_ard_3-0-0_090087_2017-09-04_final
2017-09-05 09:22:00	ga_ls8c_ard_3-0-0_090088_2017-09-04_final
2017-09-17 09:46:20	ga_ls8c_ard_3-0-0_094087_2017-09-17_final
2017-09-17 09:46:44	ga_ls8c_ard_3-0-0_094088_2017-09-17_final
2017-09-19 09:34:00	ga_ls8c_ard_3-0-0_092087_2017-09-19_final
2017-09-19 09:34:24	ga_ls8c_ard_3-0-0_092088_2017-09-19_final
2017-09-28 09:27:53	ga_ls8c_ard_3-0-0_091087_2017-09-27_final
2017-09-28 09:28:17	ga_ls8c_ard_3-0-0_091088_2017-09-27_final
2017-10-01 09:58:48	ga_ls8c_ard_3-0-0_096087_2017-10-01_final
2017-10-03 09:46:27	ga_ls8c_ard_3-0-0_094087_2017-10-03_final
2017-10-03 09:46:51	ga_ls8c_ard_3-0-0_094088_2017-10-03_final
2017-10-10 09:52:40	ga_ls8c_ard_3-0-0_095087_2017-10-10_final
2017-10-10 09:53:04	ga_ls8c_ard_3-0-0_095088_2017-10-10_final
2017-10-12 09:40:19	ga_ls8c_ard_3-0-0_093087_2017-10-12_final
2017-10-12 09:40:43	ga_ls8c_ard_3-0-0_093088_2017-10-12_final
2019-03-26 09:27:14	ga_ls8c_ard_3-1-0_091087_2019-03-25_final
2019-03-26 09:27:38	ga_ls8c_ard_3-1-0_091088_2019-03-25_final
2019-03-28 09:15:16	ga_ls8c_ard_3-1-0_089088_2019-03-27_final
2019-03-29 09:58:07	ga_ls8c_ard_3-1-0_096087_2019-03-29_final
2019-04-11 09:27:09	ga_ls8c_ard_3-1-0_091087_2019-04-10_final
2019-04-11 09:27:33	ga_ls8c_ard_3-1-0_091088_2019-04-10_final
2019-04-18 09:33:17	ga_ls8c_ard_3-1-0_092087_2019-04-18_final
2019-04-18 09:33:41	ga_ls8c_ard_3-1-0_092088_2019-04-18_final
2019-04-20 09:20:55	ga_ls8c_ard_3-0-0_090087_2019-04-19_final
2019-04-20 09:21:19	ga_ls8c_ard_3-0-0_090088_2019-04-19_final
2020-10-06 09:28:00	ga_ls8c_ard_3-1-0_091087_2020-10-05_final
2020-10-06 09:28:24	ga_ls8c_ard_3-1-0_091088_2020-10-05_final
2020-10-18 09:52:44	ga_ls8c_ard_3-1-0_095087_2020-10-18_final
2020-10-18 09:53:08	ga_ls8c_ard_3-1-0_095088_2020-10-18_final
2020-10-20 09:40:22	ga_ls8c_ard_3-1-0_093087_2020-10-20_final
2020-10-20 09:40:46	ga_ls8c_ard_3-1-0_093088_2020-10-20_final
2020-10-22 09:28:00	ga_ls8c_ard_3-1-0_091087_2020-10-21_final
2020-10-22 09:28:24	ga_ls8c_ard_3-1-0_091088_2020-10-21_final
2020-10-29 09:34:10	ga_ls8c_ard_3-1-0_092087_2020-10-29_final
2020-10-31 09:21:48	ga_ls8c_ard_3-1-0_090087_2020-10-30_final
2020-10-31 09:22:12	ga_ls8c_ard_3-1-0_090088_2020-10-30_final
2020-11-12 09:46:29	ga_ls8c_ard_3-1-0_094087_2020-11-12_final
2020-11-12 09:46:53	ga_ls8c_ard_3-1-0_094088_2020-11-12_final
2020-12-05 09:52:45	ga_ls8c_ard_3-1-0_095087_2020-12-05_final
2020-12-05 09:53:09	ga_ls8c_ard_3-1-0_095088_2020-12-05_final
2020-12-07 09:40:23	ga_ls8c_ard_3-1-0_093087_2020-12-07_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