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
2014-02-15 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
2014-03-03 09:34:50	ga_ls8c_ard_3-0-0_092088_2014-03-03_final
2014-03-05 09:22:27	ga_ls8c_ard_3-0-0_090088_2014-03-04_final
2014-03-10 09:40:59	ga_ls8c_ard_3-0-0_093088_2014-03-10_final
2014-03-12 09:28:36	ga_ls8c_ard_3-0-0_091088_2014-03-11_final
2014-03-26 09:40:43	ga_ls8c_ard_3-0-0_093088_2014-03-26_final
2014-04-04 09:34:26	ga_ls8c_ard_3-0-0_092088_2014-04-04_final
2014-04-06 09:22:03	ga_ls8c_ard_3-0-0_090088_2014-04-05_final
2014-04-11 09:40:30	ga_ls8c_ard_3-0-0_093088_2014-04-11_final
2014-04-13 09:28:06	ga_ls8c_ard_3-0-0_091088_2014-04-12_final
2014-04-20 09:34:09	ga_ls8c_ard_3-0-0_092088_2014-04-20_final
2014-04-22 09:21:46	ga_ls8c_ard_3-0-0_090088_2014-04-21_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
2014-05-15 09:27:37	ga_ls8c_ard_3-0-0_091088_2014-05-14_final
2014-05-22 09:33:45	ga_ls8c_ard_3-0-0_092088_2014-05-22_final
2014-05-24 09:21:23	ga_ls8c_ard_3-0-0_090088_2014-05-23_final
2014-05-27 09:51:56	ga_ls8c_ard_3-0-0_095087_2014-05-27_final
2014-05-29 09:40:00	ga_ls8c_ard_3-0-0_093088_2014-05-29_final
2014-05-31 09:27:16	ga_ls8c_ard_3-0-0_091087_2014-05-30_final
2014-05-31 09:27:40	ga_ls8c_ard_3-0-0_091088_2014-05-30_final
2014-06-14 09:39:44	ga_ls8c_ard_3-0-0_093087_2014-06-14_final
2014-06-14 09:40:08	ga_ls8c_ard_3-0-0_093088_2014-06-14_final
2014-06-16 09:27:47	ga_ls8c_ard_3-0-0_091088_2014-06-15_final
2014-06-21 09:45:55	ga_ls8c_ard_3-0-0_094087_2014-06-21_final
2014-06-23 09:33:34	ga_ls8c_ard_3-0-0_092087_2014-06-23_final
2014-06-23 09:33:58	ga_ls8c_ard_3-0-0_092088_2014-06-23_final
2014-06-25 09:21:12	ga_ls8c_ard_3-0-0_090087_2014-06-24_final
2014-06-25 09:21:36	ga_ls8c_ard_3-0-0_090088_2014-06-24_final
2014-06-28 09:52:07	ga_ls8c_ard_3-0-0_095087_2014-06-28_final
2014-06-30 09:40:11	ga_ls8c_ard_3-0-0_093088_2014-06-30_final
2014-07-09 09:34:06	ga_ls8c_ard_3-0-0_092088_2014-07-09_final
2014-07-11 09:21:21	ga_ls8c_ard_3-0-0_090087_2014-07-10_final
2014-07-11 09:21:45	ga_ls8c_ard_3-0-0_090088_2014-07-10_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
2014-08-01 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
2014-08-12 09:21:56	ga_ls8c_ard_3-0-0_090088_2014-08-11_final
2014-08-15 09:52:27	ga_ls8c_ard_3-0-0_095087_2014-08-15_final
2014-09-09 09:46:21	ga_ls8c_ard_3-0-0_094087_2014-09-09_final
2014-09-20 09:28:11	ga_ls8c_ard_3-0-0_091088_2014-09-19_final
2014-10-06 09:28:16	ga_ls8c_ard_3-0-0_091088_2014-10-05_final
2014-11-14 09:34:28	ga_ls8c_ard_3-0-0_092088_2014-11-14_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
2014-11-21 09:40:35	ga_ls8c_ard_3-0-0_093088_2014-11-21_final
2014-11-23 09:28:14	ga_ls8c_ard_3-0-0_091088_2014-11-22_final
2016-01-09 09:52:51	ga_ls8c_ard_3-0-0_095088_2016-01-09_final
2016-01-11 09:40:30	ga_ls8c_ard_3-0-0_093088_2016-01-11_final
2016-01-13 09:28:09	ga_ls8c_ard_3-0-0_091088_2016-01-12_final
2016-01-15 09:15:23	ga_ls8c_ard_3-0-0_089087_2016-01-14_final
2016-01-15 09:15:47	ga_ls8c_ard_3-0-0_089088_2016-01-14_final
2016-01-22 09:21:58	ga_ls8c_ard_3-0-0_090088_2016-01-21_final
2016-02-07 09:21:54	ga_ls8c_ard_3-0-0_090088_2016-02-06_final
2016-02-10 09:52:47	ga_ls8c_ard_3-0-0_095088_2016-02-10_final
2016-02-12 09:40:24	ga_ls8c_ard_3-0-0_093088_2016-02-12_final
2016-02-14 09:28:01	ga_ls8c_ard_3-0-0_091088_2016-02-13_final
2016-02-26 09:52:41	ga_ls8c_ard_3-0-0_095088_2016-02-26_final
2016-02-28 09:40:19	ga_ls8c_ard_3-0-0_093088_2016-02-28_final
2016-03-01 09:27:58	ga_ls8c_ard_3-0-0_091088_2016-02-29_final
2016-03-03 09:15:36	ga_ls8c_ard_3-0-0_089088_2016-03-02_final
2016-03-10 09:21:45	ga_ls8c_ard_3-0-0_090088_2016-03-09_final
2016-03-13 09:52:38	ga_ls8c_ard_3-0-0_095088_2016-03-13_final
2016-03-15 09:40:16	ga_ls8c_ard_3-0-0_093088_2016-03-15_final
2016-03-26 09:21:37	ga_ls8c_ard_3-0-0_090088_2016-03-25_final
2016-03-29 09:52:28	ga_ls8c_ard_3-0-0_095088_2016-03-29_final
2016-03-31 09:40:05	ga_ls8c_ard_3-0-0_093088_2016-03-31_final
2016-04-14 09:52:23	ga_ls8c_ard_3-0-0_095088_2016-04-14_final
2016-04-16 09:40:00	ga_ls8c_ard_3-0-0_093088_2016-04-16_final
2016-09-14 09:46:26	ga_ls8c_ard_3-0-0_094087_2016-09-14_final
2016-09-14 09:46:50	ga_ls8c_ard_3-0-0_094088_2016-09-14_final
2016-11-01 09:46:57	ga_ls8c_ard_3-0-0_094088_2016-11-01_final
2016-11-17 09:46:57	ga_ls8c_ard_3-0-0_094088_2016-11-17_final
2016-11-19 09:34:11	ga_ls8c_ard_3-0-0_092087_2016-11-19_final
2016-11-19 09:34:35	ga_ls8c_ard_3-0-0_092088_2016-11-19_final
2018-11-09 09:33:47	ga_ls8c_ard_3-0-0_092087_2018-11-09_final
2018-11-09 09:34:11	ga_ls8c_ard_3-0-0_092088_2018-11-09_final
2018-11-11 09:21:49	ga_ls8c_ard_3-0-0_090088_2018-11-10_final
2019-01-12 09:33:42	ga_ls8c_ard_3-0-0_092087_2019-01-12_final
2019-01-12 09:34:06	ga_ls8c_ard_3-0-0_092088_2019-01-12_final
2019-01-14 09:21:44	ga_ls8c_ard_3-0-0_090088_2019-01-13_final
2019-01-23 09:15:31	ga_ls8c_ard_3-0-0_089088_2019-01-22_final
2019-02-02 09:52:33	ga_ls8c_ard_3-0-0_095088_2019-02-02_final
2019-02-08 09:15:28	ga_ls8c_ard_3-0-0_089088_2019-02-07_final
2019-02-27 09:46:18	ga_ls8c_ard_3-0-0_094088_2019-02-27_final
2019-03-12 09:15:19	ga_ls8c_ard_3-1-0_089088_2019-03-11_final
2019-03-19 09:21:28	ga_ls8c_ard_3-1-0_090088_2019-03-18_final
2019-04-04 09:21:25	ga_ls8c_ard_3-1-0_090088_2019-04-03_final
2019-04-16 09:46:04	ga_ls8c_ard_3-1-0_094088_2019-04-16_final
2019-04-29 09:14:43	ga_ls8c_ard_3-0-0_089087_2019-04-28_final
2019-04-29 09:15:07	ga_ls8c_ard_3-0-0_089088_2019-04-28_final
2019-04-30 09:57:59	ga_ls8c_ard_3-0-0_096087_2019-04-30_final
2019-05-06 09:20:57	ga_ls8c_ard_3-0-0_090087_2019-05-05_final
2019-05-06 09:21:21	ga_ls8c_ard_3-0-0_090088_2019-05-05_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years