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:

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First 100 results (query limit)

Time (local)	Label
2015-07-22 10:10:07	ga_ls8c_ard_3-0-0_098086_2015-07-22_final
2015-07-23 09:14:54	ga_ls8c_ard_3-0-0_089087_2015-07-22_final
2015-07-24 09:57:46	ga_ls8c_ard_3-0-0_096086_2015-07-24_final
2015-07-24 09:58:10	ga_ls8c_ard_3-0-0_096087_2015-07-24_final
2015-11-27 10:10:41	ga_ls8c_ard_3-0-0_098086_2015-11-27_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
2016-01-11 09:40:06	ga_ls8c_ard_3-0-0_093087_2016-01-11_final
2016-01-13 09:27:45	ga_ls8c_ard_3-0-0_091087_2016-01-12_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
2016-05-02 09:39:39	ga_ls8c_ard_3-0-0_093087_2016-05-02_final
2016-05-04 09:26:54	ga_ls8c_ard_3-0-0_091086_2016-05-03_final
2016-05-04 09:27:18	ga_ls8c_ard_3-0-0_091087_2016-05-03_final
2017-09-10 09:40:08	ga_ls8c_ard_3-0-0_093087_2017-09-10_final
2017-09-12 09:27:47	ga_ls8c_ard_3-0-0_091087_2017-09-11_final
2017-09-21 09:21:39	ga_ls8c_ard_3-0-0_090087_2017-09-20_final
2017-10-12 09:39:55	ga_ls8c_ard_3-0-0_093086_2017-10-12_final
2017-10-12 09:40:19	ga_ls8c_ard_3-0-0_093087_2017-10-12_final
2017-10-14 09:27:57	ga_ls8c_ard_3-0-0_091087_2017-10-13_final
2017-10-15 10:10:49	ga_ls8c_ard_3-0-0_098086_2017-10-15_final
2017-10-16 09:15:36	ga_ls8c_ard_3-0-0_089087_2017-10-15_final
2017-10-17 09:58:52	ga_ls8c_ard_3-0-0_096087_2017-10-17_final
2017-10-28 09:40:20	ga_ls8c_ard_3-0-0_093087_2017-10-28_final
2017-10-30 09:27:58	ga_ls8c_ard_3-0-0_091087_2017-10-29_final
2017-11-20 09:46:26	ga_ls8c_ard_3-0-0_094087_2017-11-20_final
2017-11-22 09:34:03	ga_ls8c_ard_3-0-0_092087_2017-11-22_final
2017-11-24 09:21:41	ga_ls8c_ard_3-0-0_090087_2017-11-23_final
2017-11-25 10:04:32	ga_ls8c_ard_3-0-0_097086_2017-11-25_final
2017-12-06 09:46:21	ga_ls8c_ard_3-0-0_094087_2017-12-06_final
2017-12-08 09:34:00	ga_ls8c_ard_3-0-0_092087_2017-12-08_final
2017-12-10 09:21:38	ga_ls8c_ard_3-0-0_090087_2017-12-09_final
2017-12-15 09:39:48	ga_ls8c_ard_3-0-0_093086_2017-12-15_final
2017-12-15 09:40:12	ga_ls8c_ard_3-0-0_093087_2017-12-15_final
2017-12-17 09:27:51	ga_ls8c_ard_3-0-0_091087_2017-12-16_final
2017-12-19 09:15:06	ga_ls8c_ard_3-0-0_089086_2017-12-18_final
2017-12-19 09:15:30	ga_ls8c_ard_3-0-0_089087_2017-12-18_final
2017-12-20 09:58:46	ga_ls8c_ard_3-0-0_096087_2017-12-20_final
2017-12-31 09:40:11	ga_ls8c_ard_3-0-0_093087_2017-12-31_final
2018-01-02 09:27:49	ga_ls8c_ard_3-0-0_091087_2018-01-01_final
2018-01-07 09:46:19	ga_ls8c_ard_3-0-0_094087_2018-01-07_final
2018-01-09 09:33:57	ga_ls8c_ard_3-0-0_092087_2018-01-09_final
2018-01-11 09:21:34	ga_ls8c_ard_3-0-0_090087_2018-01-10_final
2018-01-14 09:52:27	ga_ls8c_ard_3-0-0_095087_2018-01-14_final
2018-01-23 09:46:11	ga_ls8c_ard_3-0-0_094087_2018-01-23_final
2018-01-25 09:33:48	ga_ls8c_ard_3-0-0_092087_2018-01-25_final
2018-02-01 09:39:55	ga_ls8c_ard_3-0-0_093087_2018-02-01_final
2018-02-03 09:27:32	ga_ls8c_ard_3-0-0_091087_2018-02-02_final
2018-02-12 09:21:19	ga_ls8c_ard_3-0-0_090087_2018-02-11_final
2018-02-15 09:52:12	ga_ls8c_ard_3-0-0_095087_2018-02-15_final
2018-02-17 09:39:49	ga_ls8c_ard_3-0-0_093087_2018-02-17_final
2018-02-28 09:21:12	ga_ls8c_ard_3-0-0_090087_2018-02-27_final
2018-03-19 09:51:56	ga_ls8c_ard_3-0-0_095087_2018-03-19_final
2018-04-01 09:20:56	ga_ls8c_ard_3-0-0_090087_2018-03-31_final
2018-04-11 09:57:56	ga_ls8c_ard_3-0-0_096087_2018-04-11_final
2018-04-17 09:20:47	ga_ls8c_ard_3-0-0_090087_2018-04-16_final
2018-05-06 09:51:30	ga_ls8c_ard_3-0-0_095087_2018-05-06_final
2018-05-19 09:20:27	ga_ls8c_ard_3-0-0_090087_2018-05-18_final
2018-05-22 09:51:19	ga_ls8c_ard_3-0-0_095087_2018-05-22_final
2018-06-12 10:09:23	ga_ls8c_ard_3-0-0_098086_2018-06-12_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
2018-07-06 09:20:11	ga_ls8c_ard_3-0-0_090086_2018-07-05_final
2018-07-06 09:20:35	ga_ls8c_ard_3-1-0_090087_2018-07-05_final
2018-07-07 10:03:27	ga_ls8c_ard_3-0-0_097086_2018-07-07_final
2018-11-14 09:52:20	ga_ls8c_ard_3-0-0_095087_2018-11-14_final
2019-02-02 09:52:09	ga_ls8c_ard_3-0-0_095087_2019-02-02_final
2019-05-07 10:03:50	ga_ls8c_ard_3-0-0_097086_2019-05-07_final
2019-05-09 09:51:30	ga_ls8c_ard_3-0-0_095086_2019-05-09_final
2019-05-09 09:51:54	ga_ls8c_ard_3-0-0_095087_2019-05-09_final
2019-06-26 09:52:16	ga_ls8c_ard_3-1-0_095087_2019-06-26_final
2019-10-18 09:40:25	ga_ls8c_ard_3-1-0_093087_2019-10-18_final
2019-12-12 09:46:31	ga_ls8c_ard_3-1-0_094087_2019-12-12_final
2019-12-16 09:21:47	ga_ls8c_ard_3-2-0_090087_2019-12-15_final
2019-12-23 09:27:32	ga_ls8c_ard_3-1-0_091086_2019-12-22_final
2019-12-23 09:27:56	ga_ls8c_ard_3-1-0_091087_2019-12-22_final
2019-12-25 09:15:34	ga_ls8c_ard_3-1-0_089087_2019-12-24_final
2019-12-26 09:58:49	ga_ls8c_ard_3-1-0_096087_2019-12-26_final
2020-01-01 09:21:43	ga_ls8c_ard_3-1-0_090087_2019-12-31_final
2020-01-15 09:33:38	ga_ls8c_ard_3-1-0_092086_2020-01-15_final
2020-01-15 09:34:01	ga_ls8c_ard_3-1-0_092087_2020-01-15_final
2020-01-17 09:21:39	ga_ls8c_ard_3-1-0_090087_2020-01-16_final
2020-01-20 09:52:33	ga_ls8c_ard_3-1-0_095087_2020-01-20_final
2020-03-24 09:52:10	ga_ls8c_ard_3-1-0_095087_2020-03-24_final
2020-03-26 09:39:47	ga_ls8c_ard_3-1-0_093087_2020-03-26_final
2020-03-28 09:27:24	ga_ls8c_ard_3-1-0_091087_2020-03-27_final
2020-04-11 09:39:39	ga_ls8c_ard_3-1-0_093087_2020-04-11_final
2020-04-18 09:45:47	ga_ls8c_ard_3-1-0_094087_2020-04-18_final
2020-04-20 09:33:25	ga_ls8c_ard_3-1-0_092087_2020-04-20_final
2020-05-13 09:39:02	ga_ls8c_ard_3-1-0_093086_2020-05-13_final
2020-05-13 09:39:26	ga_ls8c_ard_3-1-0_093087_2020-05-13_final
2020-05-17 09:14:44	ga_ls8c_ard_3-1-0_089087_2020-05-16_final
2020-05-18 09:58:00	ga_ls8c_ard_3-1-0_096087_2020-05-18_final
2020-05-20 09:45:15	ga_ls8c_ard_3-1-0_094086_2020-05-20_final
2020-05-20 09:45:39	ga_ls8c_ard_3-1-0_094087_2020-05-20_final
2020-05-22 09:32:54	ga_ls8c_ard_3-1-0_092086_2020-05-22_final
2020-05-22 09:33:17	ga_ls8c_ard_3-1-0_092087_2020-05-22_final
2020-06-09 09:21:04	ga_ls8c_ard_3-1-0_090087_2020-06-08_final
2020-06-26 10:04:05	ga_ls8c_ard_3-1-0_097086_2020-06-26_final
2020-07-23 09:46:07	ga_ls8c_ard_3-1-0_094087_2020-07-23_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