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
2014-07-25 09:33:44	ga_ls8c_ard_3-0-0_092087_2014-07-25_final
2014-07-27 09:21:24	ga_ls8c_ard_3-0-0_090087_2014-07-26_final
2014-08-01 09:40:00	ga_ls8c_ard_3-0-0_093087_2014-08-01_final
2014-08-12 09:21:08	ga_ls8c_ard_3-0-0_090086_2014-08-11_final
2014-08-12 09:21:32	ga_ls8c_ard_3-0-0_090087_2014-08-11_final
2014-08-21 09:14:59	ga_ls8c_ard_3-0-0_089086_2014-08-20_final
2014-08-24 09:45:53	ga_ls8c_ard_3-0-0_094086_2014-08-24_final
2014-08-24 09:46:17	ga_ls8c_ard_3-0-0_094087_2014-08-24_final
2014-08-26 09:33:32	ga_ls8c_ard_3-0-0_092086_2014-08-26_final
2014-08-26 09:33:56	ga_ls8c_ard_3-0-0_092087_2014-08-26_final
2014-09-06 09:15:02	ga_ls8c_ard_3-0-0_089086_2014-09-05_final
2014-09-11 09:34:00	ga_ls8c_ard_3-0-0_092087_2014-09-11_final
2014-09-13 09:21:38	ga_ls8c_ard_3-0-0_090087_2014-09-12_final
2014-09-27 09:33:33	ga_ls8c_ard_3-0-0_092086_2014-09-27_final
2014-09-27 09:33:57	ga_ls8c_ard_3-0-0_092087_2014-09-27_final
2014-09-29 09:21:37	ga_ls8c_ard_3-0-0_090087_2014-09-28_final
2014-10-02 09:52:09	ga_ls8c_ard_3-0-0_095086_2014-10-02_final
2014-10-02 09:52:33	ga_ls8c_ard_3-0-0_095087_2014-10-02_final
2014-10-04 09:40:13	ga_ls8c_ard_3-0-0_093087_2014-10-04_final
2014-11-16 09:21:42	ga_ls8c_ard_3-0-0_090087_2014-11-15_final
2014-11-19 09:52:34	ga_ls8c_ard_3-0-0_095087_2014-11-19_final
2014-11-21 09:40:11	ga_ls8c_ard_3-0-0_093087_2014-11-21_final
2014-11-23 09:27:50	ga_ls8c_ard_3-0-0_091087_2014-11-22_final
2016-08-13 09:46:15	ga_ls8c_ard_3-0-0_094087_2016-08-13_final
2016-08-15 09:33:31	ga_ls8c_ard_3-0-0_092086_2016-08-15_final
2016-08-15 09:33:55	ga_ls8c_ard_3-0-0_092087_2016-08-15_final
2016-08-24 09:27:24	ga_ls8c_ard_3-0-0_091086_2016-08-23_final
2016-08-24 09:27:48	ga_ls8c_ard_3-0-0_091087_2016-08-23_final
2016-08-25 10:10:40	ga_ls8c_ard_3-0-0_098086_2016-08-25_final
2016-08-26 09:15:03	ga_ls8c_ard_3-0-0_089086_2016-08-25_final
2016-08-26 09:15:27	ga_ls8c_ard_3-0-0_089087_2016-08-25_final
2016-08-27 09:58:20	ga_ls8c_ard_3-0-0_096086_2016-08-27_final
2016-08-27 09:58:43	ga_ls8c_ard_3-0-0_096087_2016-08-27_final
2016-08-29 09:46:23	ga_ls8c_ard_3-0-0_094087_2016-08-29_final
2016-08-31 09:33:38	ga_ls8c_ard_3-0-0_092086_2016-08-31_final
2016-08-31 09:34:02	ga_ls8c_ard_3-0-0_092087_2016-08-31_final
2016-09-05 09:52:36	ga_ls8c_ard_3-0-0_095087_2016-09-05_final
2016-09-07 09:40:14	ga_ls8c_ard_3-0-0_093087_2016-09-07_final
2016-09-10 10:10:45	ga_ls8c_ard_3-0-0_098086_2016-09-10_final
2016-09-11 09:15:32	ga_ls8c_ard_3-0-0_089087_2016-09-10_final
2016-09-12 09:58:48	ga_ls8c_ard_3-0-0_096087_2016-09-12_final
2016-09-14 09:46:26	ga_ls8c_ard_3-0-0_094087_2016-09-14_final
2016-09-16 09:34:05	ga_ls8c_ard_3-0-0_092087_2016-09-16_final
2016-09-18 09:21:19	ga_ls8c_ard_3-0-0_090086_2016-09-17_final
2016-09-18 09:21:43	ga_ls8c_ard_3-0-0_090087_2016-09-17_final
2016-09-21 09:52:14	ga_ls8c_ard_3-0-0_095086_2016-09-21_final
2016-09-21 09:52:38	ga_ls8c_ard_3-0-0_095087_2016-09-21_final
2016-09-23 09:39:52	ga_ls8c_ard_3-0-0_093086_2016-09-23_final
2016-09-23 09:40:16	ga_ls8c_ard_3-0-0_093087_2016-09-23_final
2016-10-04 09:21:21	ga_ls8c_ard_3-0-0_090086_2016-10-03_final
2016-10-04 09:21:45	ga_ls8c_ard_3-0-0_090087_2016-10-03_final
2016-10-05 10:04:37	ga_ls8c_ard_3-0-0_097086_2016-10-05_final
2016-10-11 09:27:35	ga_ls8c_ard_3-0-0_091086_2016-10-10_final
2016-10-11 09:27:59	ga_ls8c_ard_3-0-0_091087_2016-10-10_final
2016-10-13 09:15:14	ga_ls8c_ard_3-0-0_089086_2016-10-12_final
2016-10-13 09:15:38	ga_ls8c_ard_3-0-0_089087_2016-10-12_final
2016-10-14 09:58:30	ga_ls8c_ard_3-0-0_096086_2016-10-14_final
2016-10-14 09:58:54	ga_ls8c_ard_3-0-0_096087_2016-10-14_final
2016-10-23 09:52:20	ga_ls8c_ard_3-0-0_095086_2016-10-23_final
2016-10-23 09:52:44	ga_ls8c_ard_3-0-0_095087_2016-10-23_final
2016-10-25 09:40:23	ga_ls8c_ard_3-0-0_093087_2016-10-25_final
2016-10-29 09:15:16	ga_ls8c_ard_3-0-0_089086_2016-10-28_final
2016-10-29 09:15:40	ga_ls8c_ard_3-0-0_089087_2016-10-28_final
2016-10-30 09:58:31	ga_ls8c_ard_3-0-0_096086_2016-10-30_final
2016-10-30 09:58:55	ga_ls8c_ard_3-0-0_096087_2016-10-30_final
2016-11-01 09:46:33	ga_ls8c_ard_3-0-0_094087_2016-11-01_final
2016-11-08 09:52:43	ga_ls8c_ard_3-0-0_095087_2016-11-08_final
2016-11-10 09:40:21	ga_ls8c_ard_3-0-0_093087_2016-11-10_final
2016-11-17 09:46:33	ga_ls8c_ard_3-0-0_094087_2016-11-17_final
2016-11-19 09:34:11	ga_ls8c_ard_3-0-0_092087_2016-11-19_final
2016-11-21 09:21:26	ga_ls8c_ard_3-0-0_090086_2016-11-20_final
2016-11-21 09:21:50	ga_ls8c_ard_3-0-0_090087_2016-11-20_final
2016-11-22 10:04:42	ga_ls8c_ard_3-0-0_097086_2016-11-22_final
2017-09-01 09:46:19	ga_ls8c_ard_3-0-0_094087_2017-09-01_final
2017-09-03 09:33:33	ga_ls8c_ard_3-0-0_092086_2017-09-03_final
2017-09-03 09:33:57	ga_ls8c_ard_3-0-0_092087_2017-09-03_final
2017-10-19 09:46:07	ga_ls8c_ard_3-0-0_094086_2017-10-19_final
2019-02-04 09:39:24	ga_ls8c_ard_3-0-0_093086_2019-02-04_final
2019-02-04 09:39:48	ga_ls8c_ard_3-0-0_093087_2019-02-04_final
2019-02-06 09:27:26	ga_ls8c_ard_3-0-0_091087_2019-02-05_final
2019-02-24 09:15:01	ga_ls8c_ard_3-0-0_089087_2019-02-23_final
2019-03-26 09:27:14	ga_ls8c_ard_3-1-0_091087_2019-03-25_final
2019-03-28 09:14:28	ga_ls8c_ard_3-1-0_089086_2019-03-27_final
2019-03-28 09:14:52	ga_ls8c_ard_3-1-0_089087_2019-03-27_final
2019-03-29 09:58:07	ga_ls8c_ard_3-1-0_096087_2019-03-29_final
2019-03-31 09:45:45	ga_ls8c_ard_3-1-0_094087_2019-03-31_final
2019-04-02 09:33:23	ga_ls8c_ard_3-1-0_092087_2019-04-02_final
2019-04-13 09:14:47	ga_ls8c_ard_3-1-0_089087_2019-04-12_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
2019-05-11 09:39:09	ga_ls8c_ard_3-0-0_093086_2019-05-11_final
2019-05-11 09:39:33	ga_ls8c_ard_3-0-0_093087_2019-05-11_final
2019-05-13 09:26:49	ga_ls8c_ard_3-0-0_091086_2019-05-12_final
2019-05-13 09:27:13	ga_ls8c_ard_3-0-0_091087_2019-05-12_final
2019-05-14 10:10:05	ga_ls8c_ard_3-0-0_098086_2019-05-14_final
2019-05-15 09:14:29	ga_ls8c_ard_3-0-0_089086_2019-05-14_final
2019-05-15 09:14:53	ga_ls8c_ard_3-0-0_089087_2019-05-14_final
2019-05-16 09:58:09	ga_ls8c_ard_3-0-0_096087_2019-05-16_final
2019-05-30 10:10:15	ga_ls8c_ard_3-0-0_098086_2019-05-30_final
2019-05-31 09:14:38	ga_ls8c_ard_3-0-0_089086_2019-05-30_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