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
2015-01-08 09:40:05	ga_ls8c_ard_3-0-0_093087_2015-01-08_final
2015-01-10 09:27:43	ga_ls8c_ard_3-0-0_091087_2015-01-09_final
2015-01-31 09:46:10	ga_ls8c_ard_3-0-0_094087_2015-01-31_final
2015-04-21 09:45:34	ga_ls8c_ard_3-0-0_094087_2015-04-21_final
2015-06-21 09:14:37	ga_ls8c_ard_3-0-0_089087_2015-06-20_final
2015-06-22 09:57:53	ga_ls8c_ard_3-0-0_096087_2015-06-22_final
2015-06-28 09:20:51	ga_ls8c_ard_3-0-0_090087_2015-06-27_final
2015-07-01 09:51:47	ga_ls8c_ard_3-0-0_095087_2015-07-01_final
2015-07-03 09:39:27	ga_ls8c_ard_3-0-0_093087_2015-07-03_final
2015-07-05 09:27:07	ga_ls8c_ard_3-0-0_091087_2015-07-04_final
2015-07-07 09:14:47	ga_ls8c_ard_3-0-0_089087_2015-07-06_final
2015-07-08 09:58:03	ga_ls8c_ard_3-0-0_096087_2015-07-08_final
2015-07-14 09:21:02	ga_ls8c_ard_3-0-0_090087_2015-07-13_final
2015-07-19 09:39:36	ga_ls8c_ard_3-0-0_093087_2015-07-19_final
2015-07-21 09:27:15	ga_ls8c_ard_3-0-0_091087_2015-07-20_final
2015-07-23 09:14:54	ga_ls8c_ard_3-0-0_089087_2015-07-22_final
2015-07-24 09:58:10	ga_ls8c_ard_3-0-0_096087_2015-07-24_final
2015-08-04 09:39:39	ga_ls8c_ard_3-0-0_093087_2015-08-04_final
2015-08-06 09:27:17	ga_ls8c_ard_3-0-0_091087_2015-08-05_final
2015-08-08 09:14:57	ga_ls8c_ard_3-0-0_089087_2015-08-07_final
2015-08-09 09:58:13	ga_ls8c_ard_3-0-0_096087_2015-08-09_final
2015-08-18 09:52:07	ga_ls8c_ard_3-0-0_095087_2015-08-18_final
2015-08-20 09:39:47	ga_ls8c_ard_3-0-0_093087_2015-08-20_final
2015-08-22 09:27:26	ga_ls8c_ard_3-0-0_091087_2015-08-21_final
2015-08-24 09:15:05	ga_ls8c_ard_3-0-0_089087_2015-08-23_final
2015-08-25 09:58:21	ga_ls8c_ard_3-0-0_096087_2015-08-25_final
2015-08-31 09:21:18	ga_ls8c_ard_3-0-0_090087_2015-08-30_final
2015-09-03 09:52:12	ga_ls8c_ard_3-0-0_095087_2015-09-03_final
2015-09-05 09:39:52	ga_ls8c_ard_3-0-0_093087_2015-09-05_final
2015-09-07 09:27:31	ga_ls8c_ard_3-0-0_091087_2015-09-06_final
2015-09-09 09:15:11	ga_ls8c_ard_3-0-0_089087_2015-09-08_final
2015-09-10 09:58:27	ga_ls8c_ard_3-0-0_096087_2015-09-10_final
2015-09-14 09:33:46	ga_ls8c_ard_3-0-0_092087_2015-09-14_final
2015-09-16 09:21:26	ga_ls8c_ard_3-0-0_090087_2015-09-15_final
2015-09-21 09:40:00	ga_ls8c_ard_3-0-0_093087_2015-09-21_final
2015-09-23 09:27:39	ga_ls8c_ard_3-0-0_091087_2015-09-22_final
2015-09-25 09:15:18	ga_ls8c_ard_3-0-0_089087_2015-09-24_final
2015-09-26 09:58:34	ga_ls8c_ard_3-0-0_096087_2015-09-26_final
2015-10-27 09:15:24	ga_ls8c_ard_3-0-0_089087_2015-10-26_final
2015-10-28 09:58:40	ga_ls8c_ard_3-0-0_096087_2015-10-28_final
2015-11-19 09:21:37	ga_ls8c_ard_3-0-0_090087_2015-11-18_final
2015-11-24 09:40:11	ga_ls8c_ard_3-0-0_093087_2015-11-24_final
2015-11-26 09:27:49	ga_ls8c_ard_3-0-0_091087_2015-11-25_final
2015-11-28 09:15:28	ga_ls8c_ard_3-0-0_089087_2015-11-27_final
2015-11-29 09:58:43	ga_ls8c_ard_3-0-0_096087_2015-11-29_final
2015-12-28 09:27:48	ga_ls8c_ard_3-0-0_091087_2015-12-27_final
2015-12-30 09:15:26	ga_ls8c_ard_3-0-0_089087_2015-12-29_final
2015-12-31 09:58:41	ga_ls8c_ard_3-0-0_096087_2015-12-31_final
2016-01-27 09:40:06	ga_ls8c_ard_3-0-0_093087_2016-01-27_final
2016-01-29 09:27:44	ga_ls8c_ard_3-0-0_091087_2016-01-28_final
2016-02-14 09:27:37	ga_ls8c_ard_3-0-0_091087_2016-02-13_final
2016-02-16 09:15:14	ga_ls8c_ard_3-0-0_089087_2016-02-15_final
2016-02-17 09:58:29	ga_ls8c_ard_3-0-0_096087_2016-02-17_final
2016-02-28 09:39:55	ga_ls8c_ard_3-0-0_093087_2016-02-28_final
2016-03-01 09:27:34	ga_ls8c_ard_3-0-0_091087_2016-02-29_final
2016-03-15 09:39:52	ga_ls8c_ard_3-0-0_093087_2016-03-15_final
2016-03-17 09:27:29	ga_ls8c_ard_3-0-0_091087_2016-03-16_final
2017-04-12 09:33:20	ga_ls8c_ard_3-0-0_092087_2017-04-12_final
2017-04-14 09:20:57	ga_ls8c_ard_3-0-0_090087_2017-04-13_final
2017-05-09 09:14:40	ga_ls8c_ard_3-0-0_089087_2017-05-08_final
2017-05-10 09:57:56	ga_ls8c_ard_3-0-0_096087_2017-05-10_final
2017-06-10 09:14:59	ga_ls8c_ard_3-0-0_089087_2017-06-09_final
2017-06-11 09:58:15	ga_ls8c_ard_3-0-0_096087_2017-06-11_final
2017-07-24 09:39:56	ga_ls8c_ard_3-0-0_093087_2017-07-24_final
2017-07-26 09:27:35	ga_ls8c_ard_3-1-0_091087_2017-07-25_final
2017-07-28 09:15:15	ga_ls8c_ard_3-0-0_089087_2017-07-27_final
2017-07-29 09:58:31	ga_ls8c_ard_3-0-0_096087_2017-07-29_final
2017-08-13 09:15:21	ga_ls8c_ard_3-0-0_089087_2017-08-12_final
2017-08-14 09:58:37	ga_ls8c_ard_3-0-0_096087_2017-08-14_final
2018-04-10 09:14:41	ga_ls8c_ard_3-0-0_089087_2018-04-09_final
2018-04-11 09:57:56	ga_ls8c_ard_3-0-0_096087_2018-04-11_final
2018-05-12 09:14:22	ga_ls8c_ard_3-0-0_089087_2018-05-11_final
2018-05-13 09:57:37	ga_ls8c_ard_3-0-0_096087_2018-05-13_final
2018-06-13 09:14:10	ga_ls8c_ard_3-0-0_089087_2018-06-12_final
2018-06-14 09:57:27	ga_ls8c_ard_3-0-0_096087_2018-06-14_final
2018-06-29 09:14:21	ga_ls8c_ard_3-0-0_089087_2018-06-28_final
2018-06-30 09:57:37	ga_ls8c_ard_3-0-0_096087_2018-06-30_final
2019-02-18 09:52:07	ga_ls8c_ard_3-0-0_095087_2019-02-18_final
2019-03-06 09:52:03	ga_ls8c_ard_3-0-0_095087_2019-03-06_final
2019-03-08 09:39:40	ga_ls8c_ard_3-1-0_093087_2019-03-08_final
2019-03-15 09:45:48	ga_ls8c_ard_3-1-0_094087_2019-03-15_final
2019-04-07 09:51:54	ga_ls8c_ard_3-1-0_095087_2019-04-07_final
2019-05-02 09:45:38	ga_ls8c_ard_3-0-0_094087_2019-05-02_final
2019-05-25 09:52:03	ga_ls8c_ard_3-0-0_095087_2019-05-25_final
2019-06-19 09:46:03	ga_ls8c_ard_3-1-0_094087_2019-06-19_final
2019-07-09 09:21:25	ga_ls8c_ard_3-1-0_090087_2019-07-08_final
2019-07-30 09:40:04	ga_ls8c_ard_3-1-0_093087_2019-07-30_final
2019-08-01 09:27:43	ga_ls8c_ard_3-1-0_091087_2019-07-31_final
2019-08-22 09:46:22	ga_ls8c_ard_3-1-0_094087_2019-08-22_final
2019-08-24 09:34:01	ga_ls8c_ard_3-1-0_092087_2019-08-24_final
2019-08-26 09:21:40	ga_ls8c_ard_3-1-0_090087_2019-08-25_final
2019-08-31 09:40:14	ga_ls8c_ard_3-1-0_093087_2019-08-31_final
2019-09-02 09:27:52	ga_ls8c_ard_3-1-0_091087_2019-09-01_final
2019-09-23 09:46:32	ga_ls8c_ard_3-1-0_094087_2019-09-23_final
2019-09-25 09:34:11	ga_ls8c_ard_3-1-0_092087_2019-09-25_final
2019-09-27 09:21:50	ga_ls8c_ard_3-1-0_090087_2019-09-26_final
2019-10-18 09:40:25	ga_ls8c_ard_3-1-0_093087_2019-10-18_final
2019-11-03 09:40:25	ga_ls8c_ard_3-1-0_093087_2019-11-03_final
2019-11-05 09:28:03	ga_ls8c_ard_3-1-0_091087_2019-11-04_final
2019-11-14 09:21:50	ga_ls8c_ard_3-1-0_090087_2019-11-13_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years