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
2014-11-28 09:46:24	ga_ls8c_ard_3-0-0_094087_2014-11-28_final
2014-11-30 09:33:39	ga_ls8c_ard_3-0-0_092086_2014-11-30_final
2014-11-30 09:34:03	ga_ls8c_ard_3-0-0_092087_2014-11-30_final
2014-12-07 09:39:46	ga_ls8c_ard_3-0-0_093086_2014-12-07_final
2014-12-07 09:40:10	ga_ls8c_ard_3-0-0_093087_2014-12-07_final
2014-12-09 09:27:23	ga_ls8c_ard_3-0-0_091086_2014-12-08_final
2014-12-09 09:27:47	ga_ls8c_ard_3-0-0_091087_2014-12-08_final
2014-12-11 09:15:00	ga_ls8c_ard_3-0-0_089086_2014-12-10_final
2015-01-06 09:52:02	ga_ls8c_ard_3-0-0_095086_2015-01-06_final
2015-01-06 09:52:26	ga_ls8c_ard_3-0-0_095087_2015-01-06_final
2015-01-08 09:40:05	ga_ls8c_ard_3-0-0_093087_2015-01-08_final
2015-02-16 09:46:01	ga_ls8c_ard_3-0-0_094087_2015-02-16_final
2015-02-23 09:52:12	ga_ls8c_ard_3-0-0_095087_2015-02-23_final
2015-02-25 09:39:50	ga_ls8c_ard_3-0-0_093087_2015-02-25_final
2015-02-27 09:27:27	ga_ls8c_ard_3-0-0_091087_2015-02-26_final
2015-03-27 09:51:53	ga_ls8c_ard_3-0-0_095087_2015-03-27_final
2015-03-29 09:39:30	ga_ls8c_ard_3-0-0_093087_2015-03-29_final
2015-03-31 09:27:06	ga_ls8c_ard_3-0-0_091087_2015-03-30_final
2015-04-03 09:57:56	ga_ls8c_ard_3-0-0_096087_2015-04-03_final
2019-03-26 09:26:50	ga_ls8c_ard_3-1-0_091086_2019-03-25_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
2019-05-16 09:58:09	ga_ls8c_ard_3-0-0_096087_2019-05-16_final
2019-06-05 09:33:12	ga_ls8c_ard_3-0-0_092086_2019-06-05_final
2019-06-05 09:33:36	ga_ls8c_ard_3-0-0_092087_2019-06-05_final
2019-06-07 09:20:52	ga_ls8c_ard_3-0-0_090086_2019-06-06_final
2019-06-07 09:21:16	ga_ls8c_ard_3-0-0_090087_2019-06-06_final
2019-06-19 09:45:39	ga_ls8c_ard_3-1-0_094086_2019-06-19_final
2019-06-19 09:46:03	ga_ls8c_ard_3-1-0_094087_2019-06-19_final
2019-06-21 09:33:18	ga_ls8c_ard_3-1-0_092086_2019-06-21_final
2019-06-21 09:33:42	ga_ls8c_ard_3-1-0_092087_2019-06-21_final
2019-06-30 09:27:34	ga_ls8c_ard_3-1-0_091087_2019-06-29_final
2019-07-01 10:10:26	ga_ls8c_ard_3-1-0_098086_2019-07-01_final
2019-07-02 09:14:49	ga_ls8c_ard_3-1-0_089086_2019-07-01_final
2019-07-02 09:15:13	ga_ls8c_ard_3-1-0_089087_2019-07-01_final
2019-07-05 09:46:08	ga_ls8c_ard_3-1-0_094087_2019-07-05_final
2019-07-07 09:33:22	ga_ls8c_ard_3-1-0_092086_2019-07-07_final
2019-07-07 09:33:46	ga_ls8c_ard_3-1-0_092087_2019-07-07_final
2019-07-12 09:51:56	ga_ls8c_ard_3-1-0_095086_2019-07-12_final
2019-07-12 09:52:20	ga_ls8c_ard_3-1-0_095087_2019-07-12_final
2019-07-14 09:39:34	ga_ls8c_ard_3-1-0_093086_2019-07-14_final
2019-07-14 09:39:58	ga_ls8c_ard_3-1-0_093087_2019-07-14_final
2019-07-16 09:27:13	ga_ls8c_ard_3-1-0_091086_2019-07-15_final
2019-07-16 09:27:37	ga_ls8c_ard_3-1-0_091087_2019-07-15_final
2019-07-19 09:58:07	ga_ls8c_ard_3-1-0_096086_2019-07-19_final
2019-07-19 09:58:31	ga_ls8c_ard_3-1-0_096087_2019-07-19_final
2019-07-21 09:45:47	ga_ls8c_ard_3-1-0_094086_2019-07-21_final
2019-07-21 09:46:11	ga_ls8c_ard_3-1-0_094087_2019-07-21_final
2019-07-23 09:33:26	ga_ls8c_ard_3-1-0_092086_2019-07-23_final
2019-07-23 09:33:50	ga_ls8c_ard_3-1-0_092087_2019-07-23_final
2019-07-25 09:21:05	ga_ls8c_ard_3-1-0_090086_2019-07-24_final
2019-07-25 09:21:29	ga_ls8c_ard_3-1-0_090087_2019-07-24_final
2019-07-26 10:04:22	ga_ls8c_ard_3-1-0_097086_2019-07-26_final
2019-07-28 09:52:01	ga_ls8c_ard_3-1-0_095086_2019-07-28_final
2019-07-28 09:52:25	ga_ls8c_ard_3-1-0_095087_2019-07-28_final
2019-07-30 09:39:40	ga_ls8c_ard_3-1-0_093086_2019-07-30_final
2019-07-30 09:40:04	ga_ls8c_ard_3-1-0_093087_2019-07-30_final
2019-08-02 10:10:35	ga_ls8c_ard_3-1-0_098086_2019-08-02_final
2019-08-03 09:14:58	ga_ls8c_ard_3-1-0_089086_2019-08-02_final
2019-08-03 09:15:22	ga_ls8c_ard_3-1-0_089087_2019-08-02_final
2019-08-06 09:45:54	ga_ls8c_ard_3-1-0_094086_2019-08-06_final
2019-08-06 09:46:18	ga_ls8c_ard_3-1-0_094087_2019-08-06_final
2019-08-08 09:33:33	ga_ls8c_ard_3-1-0_092086_2019-08-08_final
2019-08-08 09:33:57	ga_ls8c_ard_3-1-0_092087_2019-08-08_final
2019-08-13 09:52:07	ga_ls8c_ard_3-1-0_095086_2019-08-13_final
2019-08-13 09:52:31	ga_ls8c_ard_3-1-0_095087_2019-08-13_final
2019-08-15 09:39:46	ga_ls8c_ard_3-1-0_093086_2019-08-15_final
2019-08-15 09:40:10	ga_ls8c_ard_3-1-0_093087_2019-08-15_final
2019-08-17 09:27:25	ga_ls8c_ard_3-1-0_091086_2019-08-16_final
2019-08-17 09:27:49	ga_ls8c_ard_3-1-0_091087_2019-08-16_final
2019-08-18 10:10:41	ga_ls8c_ard_3-1-0_098086_2019-08-18_final
2019-08-19 09:15:04	ga_ls8c_ard_3-1-0_089086_2019-08-18_final
2019-08-19 09:15:28	ga_ls8c_ard_3-1-0_089087_2019-08-18_final
2019-08-20 09:58:20	ga_ls8c_ard_3-1-0_096086_2019-08-20_final
2019-08-20 09:58:44	ga_ls8c_ard_3-1-0_096087_2019-08-20_final
2019-08-22 09:45:59	ga_ls8c_ard_3-1-0_094086_2019-08-22_final
2019-08-22 09:46:22	ga_ls8c_ard_3-1-0_094087_2019-08-22_final
2019-08-24 09:33:37	ga_ls8c_ard_3-1-0_092086_2019-08-24_final
2019-08-24 09:34:01	ga_ls8c_ard_3-1-0_092087_2019-08-24_final
2019-08-29 09:52:11	ga_ls8c_ard_3-1-0_095086_2019-08-29_final
2019-08-29 09:52:35	ga_ls8c_ard_3-1-0_095087_2019-08-29_final
2019-08-31 09:39:50	ga_ls8c_ard_3-1-0_093086_2019-08-31_final
2019-08-31 09:40:14	ga_ls8c_ard_3-1-0_093087_2019-08-31_final
2019-09-03 10:10:44	ga_ls8c_ard_3-1-0_098086_2019-09-03_final
2019-09-04 09:15:07	ga_ls8c_ard_3-1-0_089086_2019-09-03_final
2019-09-04 09:15:31	ga_ls8c_ard_3-1-0_089087_2019-09-03_final
2019-09-07 09:46:02	ga_ls8c_ard_3-1-0_094086_2019-09-07_final
2019-09-07 09:46:26	ga_ls8c_ard_3-1-0_094087_2019-09-07_final
2019-09-09 09:33:41	ga_ls8c_ard_3-1-0_092086_2019-09-09_final
2019-09-09 09:34:05	ga_ls8c_ard_3-1-0_092087_2019-09-09_final
2019-09-11 09:21:20	ga_ls8c_ard_3-1-0_090086_2019-09-10_final
2019-09-11 09:21:44	ga_ls8c_ard_3-1-0_090087_2019-09-10_final
2019-09-30 09:52:20	ga_ls8c_ard_3-1-0_095086_2019-09-30_final
2019-09-30 09:52:44	ga_ls8c_ard_3-1-0_095087_2019-09-30_final
2019-10-02 09:39:59	ga_ls8c_ard_3-1-0_093086_2019-10-02_final
2019-10-02 09:40:23	ga_ls8c_ard_3-1-0_093087_2019-10-02_final
2019-10-23 09:58:34	ga_ls8c_ard_3-1-0_096086_2019-10-23_final
2019-10-23 09:58:58	ga_ls8c_ard_3-1-0_096087_2019-10-23_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years