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
2013-04-17 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
2013-06-06 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
2013-07-20 09:48:10	ga_ls8c_ard_3-0-0_094087_2013-07-20_final
2013-07-22 09:36:12	ga_ls8c_ard_3-0-0_092088_2013-07-22_final
2013-07-31 09:29:40	ga_ls8c_ard_3-0-0_091087_2013-07-30_final
2013-07-31 09:30:04	ga_ls8c_ard_3-0-0_091088_2013-07-31_final
2013-08-07 09:36:16	ga_ls8c_ard_3-0-0_092088_2013-08-07_final
2013-08-16 09:30:04	ga_ls8c_ard_3-0-0_091088_2013-08-16_final
2013-08-23 09:36:17	ga_ls8c_ard_3-0-0_092088_2013-08-23_final
2013-08-25 09:23:56	ga_ls8c_ard_3-0-0_090088_2013-08-24_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
2014-04-27 09:40:15	ga_ls8c_ard_3-0-0_093088_2014-04-27_final
2014-05-13 09:40:00	ga_ls8c_ard_3-0-0_093088_2014-05-13_final
2014-06-28 09:52:07	ga_ls8c_ard_3-0-0_095087_2014-06-28_final
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
2017-10-26 09:52:42	ga_ls8c_ard_3-0-0_095087_2017-10-26_final
2017-10-26 09:53:06	ga_ls8c_ard_3-0-0_095088_2017-10-26_final
2017-10-28 09:40:20	ga_ls8c_ard_3-0-0_093087_2017-10-28_final
2017-10-28 09:40:44	ga_ls8c_ard_3-0-0_093088_2017-10-28_final
2017-11-04 09:46:30	ga_ls8c_ard_3-0-0_094087_2017-11-04_final
2017-11-04 09:46:54	ga_ls8c_ard_3-0-0_094088_2017-11-04_final
2017-11-06 09:34:32	ga_ls8c_ard_3-0-0_092088_2017-11-06_final
2017-11-08 09:22:10	ga_ls8c_ard_3-0-0_090088_2017-11-07_final
2017-11-11 09:52:39	ga_ls8c_ard_3-0-0_095087_2017-11-11_final
2017-11-11 09:53:03	ga_ls8c_ard_3-0-0_095088_2017-11-11_final
2017-11-13 09:40:41	ga_ls8c_ard_3-0-0_093088_2017-11-13_final
2017-11-27 09:52:57	ga_ls8c_ard_3-0-0_095088_2017-11-27_final
2017-11-29 09:40:35	ga_ls8c_ard_3-0-0_093088_2017-11-29_final
2017-12-01 09:28:13	ga_ls8c_ard_3-0-0_091088_2017-11-30_final
2017-12-03 09:15:51	ga_ls8c_ard_3-0-0_089088_2017-12-02_final
2017-12-06 09:46:45	ga_ls8c_ard_3-0-0_094088_2017-12-06_final
2017-12-08 09:34:24	ga_ls8c_ard_3-0-0_092088_2017-12-08_final
2017-12-10 09:22:02	ga_ls8c_ard_3-0-0_090088_2017-12-09_final
2017-12-13 09:52:57	ga_ls8c_ard_3-0-0_095088_2017-12-13_final
2017-12-15 09:40:12	ga_ls8c_ard_3-0-0_093087_2017-12-15_final
2017-12-15 09:40:36	ga_ls8c_ard_3-0-0_093088_2017-12-15_final
2017-12-17 09:28:15	ga_ls8c_ard_3-0-0_091088_2017-12-16_final
2017-12-19 09:15:30	ga_ls8c_ard_3-0-0_089087_2017-12-18_final
2017-12-19 09:15:54	ga_ls8c_ard_3-0-0_089088_2017-12-18_final
2017-12-29 09:52:57	ga_ls8c_ard_3-0-0_095088_2017-12-29_final
2017-12-31 09:40:11	ga_ls8c_ard_3-0-0_093087_2017-12-31_final
2017-12-31 09:40:35	ga_ls8c_ard_3-0-0_093088_2017-12-31_final
2018-01-02 09:28:13	ga_ls8c_ard_3-0-0_091088_2018-01-01_final
2018-01-04 09:15:51	ga_ls8c_ard_3-0-0_089088_2018-01-03_final
2018-01-14 09:52:51	ga_ls8c_ard_3-0-0_095088_2018-01-14_final
2018-01-16 09:40:28	ga_ls8c_ard_3-0-0_093088_2018-01-16_final
2018-01-18 09:28:06	ga_ls8c_ard_3-0-0_091088_2018-01-17_final
2018-01-25 09:34:12	ga_ls8c_ard_3-0-0_092088_2018-01-25_final
2018-01-27 09:21:49	ga_ls8c_ard_3-0-0_090088_2018-01-26_final
2018-04-29 09:45:48	ga_ls8c_ard_3-0-0_094088_2018-04-29_final
2018-05-01 09:33:25	ga_ls8c_ard_3-0-0_092088_2018-05-01_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
2019-03-06 09:52:27	ga_ls8c_ard_3-0-0_095088_2019-03-06_final
2019-03-08 09:40:04	ga_ls8c_ard_3-1-0_093088_2019-03-08_final
2019-04-23 09:52:12	ga_ls8c_ard_3-0-0_095088_2019-04-23_final
2019-04-25 09:39:49	ga_ls8c_ard_3-0-0_093088_2019-04-25_final
2020-03-12 09:27:57	ga_ls8c_ard_3-1-0_091088_2020-03-11_final
2020-03-28 09:27:48	ga_ls8c_ard_3-1-0_091088_2020-03-27_final
2020-04-06 09:21:33	ga_ls8c_ard_3-1-0_090088_2020-04-05_final
2020-04-29 09:27:33	ga_ls8c_ard_3-1-0_091088_2020-04-28_final
2020-05-15 09:27:05	ga_ls8c_ard_3-1-0_091087_2020-05-14_final
2020-05-15 09:27:29	ga_ls8c_ard_3-1-0_091088_2020-05-14_final
2020-06-02 09:15:13	ga_ls8c_ard_3-1-0_089088_2020-06-01_final
2020-06-09 09:21:28	ga_ls8c_ard_3-1-0_090088_2020-06-08_final
2020-07-04 09:15:07	ga_ls8c_ard_3-1-0_089087_2020-07-03_final
2020-07-04 09:15:31	ga_ls8c_ard_3-1-0_089088_2020-07-03_final
2020-07-21 09:58:28	ga_ls8c_ard_3-1-0_096087_2020-07-21_final
2020-08-22 09:58:39	ga_ls8c_ard_3-1-0_096087_2020-08-22_final
2020-08-24 09:46:18	ga_ls8c_ard_3-1-0_094087_2020-08-24_final
2020-08-24 09:46:42	ga_ls8c_ard_3-1-0_094088_2020-08-24_final
2020-08-26 09:33:57	ga_ls8c_ard_3-1-0_092087_2020-08-26_final
2020-08-26 09:34:21	ga_ls8c_ard_3-1-0_092088_2020-08-26_final
2020-08-28 09:21:37	ga_ls8c_ard_3-1-0_090087_2020-08-27_final
2020-08-28 09:22:01	ga_ls8c_ard_3-1-0_090088_2020-08-27_final
2020-08-31 09:52:32	ga_ls8c_ard_3-1-0_095087_2020-08-31_final
2020-08-31 09:52:56	ga_ls8c_ard_3-1-0_095088_2020-08-31_final
2020-09-06 09:15:54	ga_ls8c_ard_3-1-0_089088_2020-09-05_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
2020-10-08 09:15:38	ga_ls8c_ard_3-1-0_089087_2020-10-07_final
2020-10-08 09:16:02	ga_ls8c_ard_3-1-0_089088_2020-10-07_final
2020-10-13 09:34:11	ga_ls8c_ard_3-1-0_092087_2020-10-13_final
2020-10-13 09:34:35	ga_ls8c_ard_3-1-0_092088_2020-10-13_final
2020-10-15 09:21:49	ga_ls8c_ard_3-1-0_090087_2020-10-14_final
2020-10-15 09:22:13	ga_ls8c_ard_3-1-0_090088_2020-10-14_final
2020-10-22 09:28:24	ga_ls8c_ard_3-1-0_091088_2020-10-21_final
2020-11-30 09:34:36	ga_ls8c_ard_3-1-0_092088_2020-11-30_final
2020-12-02 09:22:14	ga_ls8c_ard_3-1-0_090088_2020-12-01_final
2021-01-01 09:34:08	ga_ls8c_ard_3-2-0_092087_2021-01-01_final
2021-01-01 09:34:32	ga_ls8c_ard_3-2-0_092088_2021-01-01_final
2021-01-03 09:22:09	ga_ls8c_ard_3-2-0_090088_2021-01-02_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

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