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
2013-03-26 09:41:40	ga_ls8c_ard_3-0-0_093088_2013-03-26_final
2013-03-28 09:20:15	ga_ls8c_ard_3-0-0_090088_2013-03-27_final
2013-04-17 09:36:04	ga_ls8c_ard_3-0-0_092088_2013-04-17_final
2013-05-19 09:36:16	ga_ls8c_ard_3-0-0_092088_2013-05-19_final
2013-05-21 09:23:55	ga_ls8c_ard_3-0-0_090088_2013-05-20_final
2013-05-28 09:30:07	ga_ls8c_ard_3-0-0_091088_2013-05-28_final
2013-06-06 09:23:56	ga_ls8c_ard_3-0-0_090088_2013-06-05_final
2013-06-20 09:36:10	ga_ls8c_ard_3-0-0_092088_2013-06-20_final
2013-06-22 09:23:48	ga_ls8c_ard_3-0-0_090088_2013-06-21_final
2013-06-29 09:29:38	ga_ls8c_ard_3-0-0_091087_2013-06-28_final
2013-06-29 09:30:02	ga_ls8c_ard_3-0-0_091088_2013-06-29_final
2013-07-06 09:36:14	ga_ls8c_ard_3-0-0_092088_2013-07-06_final
2013-07-08 09:23:53	ga_ls8c_ard_3-0-0_090088_2013-07-07_final
2013-07-11 09:54:23	ga_ls8c_ard_3-0-0_095087_2013-07-11_final
2013-07-15 09:30:03	ga_ls8c_ard_3-0-0_091088_2013-07-15_final
2013-07-20 09:48:10	ga_ls8c_ard_3-0-0_094087_2013-07-20_final
2013-07-24 09:23:27	ga_ls8c_ard_3-0-0_090087_2013-07-23_final
2013-07-24 09:23:51	ga_ls8c_ard_3-0-0_090088_2013-07-23_final
2013-08-25 09:23:56	ga_ls8c_ard_3-0-0_090088_2013-08-24_final
2013-08-30 09:42:29	ga_ls8c_ard_3-0-0_093088_2013-08-30_final
2013-09-01 09:30:07	ga_ls8c_ard_3-0-0_091088_2013-09-01_final
2013-09-08 09:36:16	ga_ls8c_ard_3-0-0_092088_2013-09-08_final
2013-09-10 09:23:54	ga_ls8c_ard_3-0-0_090088_2013-09-09_final
2013-09-24 09:36:09	ga_ls8c_ard_3-0-0_092088_2013-09-24_final
2013-09-26 09:23:45	ga_ls8c_ard_3-0-0_090088_2013-09-25_final
2013-10-03 09:29:57	ga_ls8c_ard_3-0-0_091088_2013-10-02_final
2013-10-28 09:23:36	ga_ls8c_ard_3-0-0_090088_2013-10-27_final
2013-11-04 09:29:49	ga_ls8c_ard_3-0-0_091088_2013-11-03_final
2013-11-11 09:35:59	ga_ls8c_ard_3-0-0_092088_2013-11-11_final
2013-11-13 09:23:36	ga_ls8c_ard_3-0-0_090088_2013-11-12_final
2014-07-07 09:46:02	ga_ls8c_ard_3-0-0_094087_2014-07-07_final
2014-07-09 09:33:42	ga_ls8c_ard_3-0-0_092087_2014-07-09_final
2014-07-09 09:34:06	ga_ls8c_ard_3-0-0_092088_2014-07-09_final
2014-07-25 09:34:07	ga_ls8c_ard_3-0-0_092088_2014-07-25_final
2014-07-27 09:21:48	ga_ls8c_ard_3-0-0_090088_2014-07-26_final
2014-08-08 09:46:14	ga_ls8c_ard_3-0-0_094087_2014-08-08_final
2014-09-02 09:40:32	ga_ls8c_ard_3-0-0_093088_2014-09-02_final
2014-09-04 09:28:11	ga_ls8c_ard_3-0-0_091088_2014-09-03_final
2014-09-18 09:40:33	ga_ls8c_ard_3-0-0_093088_2014-09-18_final
2014-09-20 09:27:47	ga_ls8c_ard_3-0-0_091087_2014-09-19_final
2014-09-20 09:28:11	ga_ls8c_ard_3-0-0_091088_2014-09-19_final
2014-09-25 09:46:17	ga_ls8c_ard_3-0-0_094087_2014-09-25_final
2014-10-11 09:46:25	ga_ls8c_ard_3-0-0_094087_2014-10-11_final
2014-10-22 09:27:54	ga_ls8c_ard_3-1-0_091087_2014-10-21_final
2014-10-22 09:28:18	ga_ls8c_ard_3-0-0_091088_2014-10-21_final
2014-11-14 09:34:04	ga_ls8c_ard_3-0-0_092087_2014-11-14_final
2014-11-14 09:34:28	ga_ls8c_ard_3-0-0_092088_2014-11-14_final
2014-11-16 09:21:42	ga_ls8c_ard_3-0-0_090087_2014-11-15_final
2014-11-16 09:22:06	ga_ls8c_ard_3-0-0_090088_2014-11-15_final
2014-11-19 09:52:34	ga_ls8c_ard_3-0-0_095087_2014-11-19_final
2014-12-02 09:21:41	ga_ls8c_ard_3-0-0_090087_2014-12-01_final
2014-12-02 09:22:05	ga_ls8c_ard_3-0-0_090088_2014-12-01_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
2014-12-23 09:40:33	ga_ls8c_ard_3-0-0_093088_2014-12-23_final
2014-12-25 09:28:10	ga_ls8c_ard_3-0-0_091088_2014-12-24_final
2017-03-18 09:40:07	ga_ls8c_ard_3-0-0_093088_2017-03-18_final
2017-03-20 09:27:44	ga_ls8c_ard_3-0-0_091088_2017-03-19_final
2017-05-19 09:51:52	ga_ls8c_ard_3-0-0_095087_2017-05-19_final
2017-05-19 09:52:16	ga_ls8c_ard_3-0-0_095088_2017-05-19_final
2017-05-21 09:39:56	ga_ls8c_ard_3-0-0_093088_2017-05-21_final
2017-06-22 09:39:46	ga_ls8c_ard_3-0-0_093087_2017-06-22_final
2017-06-22 09:40:10	ga_ls8c_ard_3-0-0_093088_2017-06-22_final
2019-02-08 09:15:28	ga_ls8c_ard_3-0-0_089088_2019-02-07_final
2019-02-11 09:46:22	ga_ls8c_ard_3-0-0_094088_2019-02-11_final
2019-02-13 09:34:00	ga_ls8c_ard_3-0-0_092088_2019-02-13_final
2019-02-15 09:21:38	ga_ls8c_ard_3-0-0_090088_2019-02-14_final
2019-02-18 09:52:31	ga_ls8c_ard_3-0-0_095088_2019-02-18_final
2019-02-27 09:45:54	ga_ls8c_ard_3-0-0_094087_2019-02-27_final
2019-02-27 09:46:18	ga_ls8c_ard_3-0-0_094088_2019-02-27_final
2019-03-01 09:33:56	ga_ls8c_ard_3-0-0_092088_2019-03-01_final
2019-03-03 09:21:34	ga_ls8c_ard_3-0-0_090088_2019-03-02_final
2019-03-08 09:40:04	ga_ls8c_ard_3-1-0_093088_2019-03-08_final
2019-03-15 09:46:12	ga_ls8c_ard_3-1-0_094088_2019-03-15_final
2019-04-07 09:52:18	ga_ls8c_ard_3-1-0_095088_2019-04-07_final
2019-05-02 09:45:38	ga_ls8c_ard_3-0-0_094087_2019-05-02_final
2019-05-02 09:46:02	ga_ls8c_ard_3-0-0_094088_2019-05-02_final
2019-05-25 09:52:03	ga_ls8c_ard_3-0-0_095087_2019-05-25_final
2019-05-25 09:52:27	ga_ls8c_ard_3-0-0_095088_2019-05-25_final
2019-06-03 09:45:57	ga_ls8c_ard_3-0-0_094087_2019-06-03_final
2019-06-03 09:46:21	ga_ls8c_ard_3-0-0_094088_2019-06-03_final
2019-06-05 09:33:36	ga_ls8c_ard_3-0-0_092087_2019-06-05_final
2019-06-05 09:34:00	ga_ls8c_ard_3-1-0_092088_2019-06-05_final
2019-06-07 09:21:40	ga_ls8c_ard_3-0-0_090088_2019-06-06_final
2019-06-19 09:46:03	ga_ls8c_ard_3-1-0_094087_2019-06-19_final
2019-06-19 09:46:27	ga_ls8c_ard_3-1-0_094088_2019-06-19_final
2019-07-12 09:52:20	ga_ls8c_ard_3-1-0_095087_2019-07-12_final
2019-07-12 09:52:44	ga_ls8c_ard_3-1-0_095088_2019-07-12_final
2019-08-13 09:52:55	ga_ls8c_ard_3-1-0_095088_2019-08-13_final
2019-08-29 09:52:35	ga_ls8c_ard_3-1-0_095087_2019-08-29_final
2019-08-29 09:52:59	ga_ls8c_ard_3-1-0_095088_2019-08-29_final
2019-09-07 09:46:26	ga_ls8c_ard_3-1-0_094087_2019-09-07_final
2019-09-07 09:46:50	ga_ls8c_ard_3-1-0_094088_2019-09-07_final
2019-10-18 09:40:49	ga_ls8c_ard_3-1-0_093088_2019-10-18_final
2019-10-25 09:46:36	ga_ls8c_ard_3-1-0_094087_2019-10-25_final
2019-10-25 09:47:00	ga_ls8c_ard_3-1-0_094088_2019-10-25_final
2019-11-17 09:53:08	ga_ls8c_ard_3-1-0_095088_2019-11-17_final
2019-11-30 09:21:49	ga_ls8c_ard_3-1-0_090087_2019-11-29_final
2019-11-30 09:22:12	ga_ls8c_ard_3-1-0_090088_2019-11-29_final
2019-12-05 09:40:45	ga_ls8c_ard_3-1-0_093088_2019-12-05_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