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
2013-03-28 09:20:15	ga_ls8c_ard_3-0-0_090088_2013-03-27_final
2013-06-06 09:23:56	ga_ls8c_ard_3-0-0_090088_2013-06-05_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
2013-08-28 09:54:26	ga_ls8c_ard_3-0-0_095087_2013-08-28_final
2013-09-29 09:54:16	ga_ls8c_ard_3-0-0_095087_2013-09-29_final
2013-10-01 09:41:54	ga_ls8c_ard_3-0-0_093087_2013-10-01_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
2013-11-11 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
2013-12-13 09:35:49	ga_ls8c_ard_3-0-0_092088_2013-12-13_final
2013-12-15 09:23:26	ga_ls8c_ard_3-0-0_090088_2013-12-14_final
2013-12-20 09:41:53	ga_ls8c_ard_3-0-0_093088_2013-12-20_final
2014-01-16 09:23:02	ga_ls8c_ard_3-0-0_090088_2014-01-15_final
2014-01-21 09:41:34	ga_ls8c_ard_3-0-0_093088_2014-01-21_final
2014-01-30 09:35:20	ga_ls8c_ard_3-0-0_092088_2014-01-30_final
2014-02-01 09:22:33	ga_ls8c_ard_3-0-0_090087_2014-01-31_final
2014-02-01 09:22:57	ga_ls8c_ard_3-0-0_090088_2014-01-31_final
2014-02-06 09:41:25	ga_ls8c_ard_3-0-0_093088_2014-02-06_final
2014-02-15 09:35:06	ga_ls8c_ard_3-0-0_092088_2014-02-15_final
2014-02-17 09:22:43	ga_ls8c_ard_3-0-0_090088_2014-02-16_final
2014-03-21 09:22:18	ga_ls8c_ard_3-0-0_090088_2014-03-20_final
2014-03-26 09:40:43	ga_ls8c_ard_3-0-0_093088_2014-03-26_final
2014-03-28 09:28:18	ga_ls8c_ard_3-0-0_091088_2014-03-27_final
2014-04-27 09:40:15	ga_ls8c_ard_3-0-0_093088_2014-04-27_final
2014-05-06 09:33:53	ga_ls8c_ard_3-0-0_092088_2014-05-06_final
2014-05-08 09:21:30	ga_ls8c_ard_3-0-0_090088_2014-05-07_final
2014-05-13 09:40:00	ga_ls8c_ard_3-0-0_093088_2014-05-13_final
2014-05-20 09:45:43	ga_ls8c_ard_3-0-0_094087_2014-05-20_final
2014-05-22 09:33:21	ga_ls8c_ard_3-0-0_092087_2014-05-22_final
2014-05-22 09:33:45	ga_ls8c_ard_3-0-0_092088_2014-05-22_final
2014-06-05 09:45:51	ga_ls8c_ard_3-0-0_094087_2014-06-05_final
2014-06-07 09:33:31	ga_ls8c_ard_3-0-0_092087_2014-06-07_final
2014-06-07 09:33:55	ga_ls8c_ard_3-0-0_092088_2014-06-07_final
2014-06-09 09:21:10	ga_ls8c_ard_3-0-0_090087_2014-06-08_final
2014-06-09 09:21:34	ga_ls8c_ard_3-0-0_090088_2014-06-08_final
2014-06-21 09:45:55	ga_ls8c_ard_3-0-0_094087_2014-06-21_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
2014-08-01 09:40:00	ga_ls8c_ard_3-0-0_093087_2014-08-01_final
2014-08-01 09:40:24	ga_ls8c_ard_3-0-0_093088_2014-08-01_final
2014-08-03 09:27:39	ga_ls8c_ard_3-0-0_091087_2014-08-02_final
2014-08-03 09:28:03	ga_ls8c_ard_3-0-0_091088_2014-08-02_final
2014-08-17 09:40:30	ga_ls8c_ard_3-0-0_093088_2014-08-17_final
2014-08-19 09:28:08	ga_ls8c_ard_3-0-0_091088_2014-08-18_final
2014-09-18 09:40:09	ga_ls8c_ard_3-0-0_093087_2014-09-18_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
2014-10-13 09:34:28	ga_ls8c_ard_3-0-0_092088_2014-10-13_final
2014-10-15 09:22:07	ga_ls8c_ard_3-0-0_090088_2014-10-14_final
2014-10-18 09:52:38	ga_ls8c_ard_3-0-0_095087_2014-10-18_final
2014-10-27 09:46:24	ga_ls8c_ard_3-0-0_094087_2014-10-27_final
2014-10-29 09:34:25	ga_ls8c_ard_3-0-0_092088_2014-10-29_final
2014-10-31 09:22:03	ga_ls8c_ard_3-0-0_090088_2014-10-30_final
2014-11-03 09:52:35	ga_ls8c_ard_3-0-0_095087_2014-11-03_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
2014-11-28 09:46:24	ga_ls8c_ard_3-0-0_094087_2014-11-28_final
2014-11-30 09:34:03	ga_ls8c_ard_3-0-0_092087_2014-11-30_final
2014-11-30 09:34:27	ga_ls8c_ard_3-0-0_092088_2014-11-30_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
2014-12-23 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
2018-03-14 09:33:49	ga_ls8c_ard_3-0-0_092088_2018-03-14_final
2018-05-15 09:45:37	ga_ls8c_ard_3-0-0_094088_2018-05-15_final
2018-05-17 09:33:14	ga_ls8c_ard_3-0-0_092088_2018-05-17_final
2019-07-18 09:15:15	ga_ls8c_ard_3-1-0_089087_2019-07-17_final
2019-07-18 09:15:39	ga_ls8c_ard_3-1-0_089088_2019-07-17_final
2019-07-19 09:58:31	ga_ls8c_ard_3-1-0_096087_2019-07-19_final
2019-07-21 09:46:11	ga_ls8c_ard_3-1-0_094087_2019-07-21_final
2019-07-21 09:46:35	ga_ls8c_ard_3-1-0_094088_2019-07-21_final
2019-07-23 09:33:50	ga_ls8c_ard_3-1-0_092087_2019-07-23_final
2019-07-23 09:34:14	ga_ls8c_ard_3-1-0_092088_2019-07-23_final
2019-07-25 09:21:29	ga_ls8c_ard_3-1-0_090087_2019-07-24_final
2019-07-25 09:21:53	ga_ls8c_ard_3-1-0_090088_2019-07-24_final
2019-08-04 09:58:38	ga_ls8c_ard_3-1-0_096087_2019-08-04_final
2019-09-14 09:52:39	ga_ls8c_ard_3-1-0_095087_2019-09-14_final
2019-09-14 09:53:03	ga_ls8c_ard_3-1-0_095088_2019-09-14_final
2019-09-30 09:53:08	ga_ls8c_ard_3-1-0_095088_2019-09-30_final
2019-10-06 09:15:41	ga_ls8c_ard_3-1-0_089087_2019-10-05_final
2019-10-06 09:16:05	ga_ls8c_ard_3-1-0_089088_2019-10-05_final
2019-10-07 09:58:57	ga_ls8c_ard_3-1-0_096087_2019-10-07_final
2019-10-13 09:22:17	ga_ls8c_ard_3-1-0_090088_2019-10-12_final
2019-11-01 09:53:11	ga_ls8c_ard_3-1-0_095088_2019-11-01_final
2019-11-17 09:52:44	ga_ls8c_ard_3-1-0_095087_2019-11-17_final
2019-11-17 09:53:08	ga_ls8c_ard_3-1-0_095088_2019-11-17_final
2019-11-23 09:15:38	ga_ls8c_ard_3-1-0_089087_2019-11-22_final
2019-11-23 09:16:01	ga_ls8c_ard_3-1-0_089088_2019-11-22_final
2019-11-30 09:21:49	ga_ls8c_ard_3-1-0_090087_2019-11-29_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