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
2013-05-21 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
2013-06-29 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
2013-07-24 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
2013-08-28 09:54:26	ga_ls8c_ard_3-0-0_095087_2013-08-28_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
2013-09-24 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
2017-03-20 09:27:44	ga_ls8c_ard_3-0-0_091088_2017-03-19_final
2017-05-05 09:39:20	ga_ls8c_ard_3-0-0_093087_2017-05-05_final
2017-05-05 09:39:44	ga_ls8c_ard_3-0-0_093088_2017-05-05_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
2017-07-10 09:27:28	ga_ls8c_ard_3-0-0_091087_2017-07-09_final
2017-07-10 09:27:52	ga_ls8c_ard_3-0-0_091088_2017-07-09_final
2017-07-12 09:15:07	ga_ls8c_ard_3-0-0_089087_2017-07-11_final
2017-07-12 09:15:31	ga_ls8c_ard_3-0-0_089088_2017-07-11_final
2017-07-13 09:58:23	ga_ls8c_ard_3-0-0_096087_2017-07-13_final
2018-02-24 09:46:21	ga_ls8c_ard_3-0-0_094088_2018-02-24_final
2018-02-26 09:33:59	ga_ls8c_ard_3-0-0_092088_2018-02-26_final
2018-03-03 09:52:29	ga_ls8c_ard_3-0-0_095088_2018-03-03_final
2018-03-16 09:21:27	ga_ls8c_ard_3-0-0_090088_2018-03-15_final
2018-03-19 09:52:20	ga_ls8c_ard_3-0-0_095088_2018-03-19_final
2018-04-01 09:21:20	ga_ls8c_ard_3-0-0_090088_2018-03-31_final
2018-04-22 09:39:40	ga_ls8c_ard_3-0-0_093088_2018-04-22_final
2018-04-24 09:27:18	ga_ls8c_ard_3-0-0_091088_2018-04-23_final
2018-05-06 09:51:54	ga_ls8c_ard_3-0-0_095088_2018-05-06_final
2018-06-11 09:26:31	ga_ls8c_ard_3-0-0_091087_2018-06-10_final
2018-06-11 09:26:55	ga_ls8c_ard_3-0-0_091088_2018-06-10_final
2018-07-04 09:32:56	ga_ls8c_ard_3-0-0_092087_2018-07-04_final
2018-07-04 09:33:20	ga_ls8c_ard_3-0-0_092088_2018-07-04_final
2018-07-06 09:20:35	ga_ls8c_ard_3-1-0_090087_2018-07-05_final
2018-07-06 09:20:59	ga_ls8c_ard_3-0-0_090088_2018-07-05_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
2019-04-07 09:52:18	ga_ls8c_ard_3-1-0_095088_2019-04-07_final
2019-04-16 09:46:04	ga_ls8c_ard_3-1-0_094088_2019-04-16_final
2019-04-18 09:33:41	ga_ls8c_ard_3-1-0_092088_2019-04-18_final
2019-04-20 09:21:19	ga_ls8c_ard_3-0-0_090088_2019-04-19_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 09:21:16	ga_ls8c_ard_3-0-0_090087_2019-06-06_final
2019-06-07 09:21:40	ga_ls8c_ard_3-0-0_090088_2019-06-06_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 09:34:14	ga_ls8c_ard_3-1-0_092088_2019-07-23_final
2019-07-25 09:21:53	ga_ls8c_ard_3-1-0_090088_2019-07-24_final
2019-08-06 09:46:18	ga_ls8c_ard_3-1-0_094087_2019-08-06_final
2019-08-06 09:46:42	ga_ls8c_ard_3-1-0_094088_2019-08-06_final
2019-08-08 09:34:21	ga_ls8c_ard_3-1-0_092088_2019-08-08_final
2019-08-10 09:21:36	ga_ls8c_ard_3-1-0_090087_2019-08-09_final
2019-08-10 09:22:00	ga_ls8c_ard_3-1-0_090088_2019-08-09_final
2019-08-17 09:27:49	ga_ls8c_ard_3-1-0_091087_2019-08-16_final
2019-08-17 09:28:13	ga_ls8c_ard_3-1-0_091088_2019-08-16_final
2019-10-13 09:22:17	ga_ls8c_ard_3-1-0_090088_2019-10-12_final
2019-10-20 09:28:28	ga_ls8c_ard_3-1-0_091088_2019-10-19_final
2019-10-22 09:15:42	ga_ls8c_ard_3-1-0_089087_2019-10-21_final
2019-10-22 09:16:06	ga_ls8c_ard_3-1-0_089088_2019-10-21_final
2019-10-23 09:58:58	ga_ls8c_ard_3-1-0_096087_2019-10-23_final
2020-06-09 09:21:28	ga_ls8c_ard_3-1-0_090088_2020-06-08_final
2020-06-25 09:21:37	ga_ls8c_ard_3-1-0_090088_2020-06-24_final
2020-07-11 09:21:20	ga_ls8c_ard_3-1-0_090087_2020-07-10_final
2020-07-11 09:21:44	ga_ls8c_ard_3-1-0_090088_2020-07-10_final
2020-07-23 09:46:31	ga_ls8c_ard_3-1-0_094088_2020-07-23_final
2020-07-25 09:33:46	ga_ls8c_ard_3-1-0_092087_2020-07-25_final
2020-07-25 09:34:10	ga_ls8c_ard_3-1-0_092088_2020-07-25_final
2020-08-12 09:21:28	ga_ls8c_ard_3-1-0_090087_2020-08-11_final
2020-08-12 09:21:52	ga_ls8c_ard_3-1-0_090088_2020-08-11_final
2020-08-19 09:27:43	ga_ls8c_ard_3-1-0_091087_2020-08-18_final
2020-08-19 09:28:07	ga_ls8c_ard_3-1-0_091088_2020-08-18_final
2020-08-21 09:15:22	ga_ls8c_ard_3-1-0_089087_2020-08-20_final
2020-08-21 09:15:46	ga_ls8c_ard_3-1-0_089088_2020-08-20_final
2020-08-22 09:58:39	ga_ls8c_ard_3-1-0_096087_2020-08-22_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

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