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
2015-01-06 09:52:26	ga_ls8c_ard_3-0-0_095087_2015-01-06_final
2015-02-02 09:34:12	ga_ls8c_ard_3-0-0_092088_2015-02-02_final
2015-02-25 09:39:50	ga_ls8c_ard_3-0-0_093087_2015-02-25_final
2015-02-25 09:40:14	ga_ls8c_ard_3-0-0_093088_2015-02-25_final
2015-02-27 09:27:51	ga_ls8c_ard_3-0-0_091088_2015-02-26_final
2015-03-11 09:52:25	ga_ls8c_ard_3-0-0_095088_2015-03-11_final
2015-04-12 09:52:10	ga_ls8c_ard_3-0-0_095088_2015-04-12_final
2015-04-23 09:33:36	ga_ls8c_ard_3-0-0_092088_2015-04-23_final
2015-05-20 09:14:21	ga_ls8c_ard_3-0-0_089087_2015-05-19_final
2015-05-20 09:14:45	ga_ls8c_ard_3-0-0_089088_2015-05-19_final
2015-06-05 09:14:29	ga_ls8c_ard_3-0-0_089087_2015-06-04_final
2015-06-05 09:14:53	ga_ls8c_ard_3-0-0_089088_2015-06-04_final
2015-06-06 09:57:46	ga_ls8c_ard_3-0-0_096087_2015-06-06_final
2015-06-24 09:45:56	ga_ls8c_ard_3-0-0_094088_2015-06-24_final
2015-06-26 09:33:10	ga_ls8c_ard_3-0-0_092087_2015-06-26_final
2015-06-26 09:33:34	ga_ls8c_ard_3-0-0_092088_2015-06-26_final
2015-06-28 09:20:51	ga_ls8c_ard_3-0-0_090087_2015-06-27_final
2015-06-28 09:21:15	ga_ls8c_ard_3-0-0_090088_2015-06-27_final
2015-07-01 09:51:47	ga_ls8c_ard_3-0-0_095087_2015-07-01_final
2015-07-01 09:52:11	ga_ls8c_ard_3-0-0_095088_2015-07-01_final
2015-07-19 09:39:36	ga_ls8c_ard_3-0-0_093087_2015-07-19_final
2015-07-19 09:40:00	ga_ls8c_ard_3-0-0_093088_2015-07-19_final
2015-07-21 09:27:15	ga_ls8c_ard_3-0-0_091087_2015-07-20_final
2015-07-21 09:27:39	ga_ls8c_ard_3-0-0_091088_2015-07-20_final
2015-08-08 09:14:57	ga_ls8c_ard_3-0-0_089087_2015-08-07_final
2015-08-08 09:15:21	ga_ls8c_ard_3-0-0_089088_2015-08-07_final
2015-08-09 09:58:13	ga_ls8c_ard_3-0-0_096087_2015-08-09_final
2015-08-20 09:39:47	ga_ls8c_ard_3-0-0_093087_2015-08-20_final
2015-08-20 09:40:11	ga_ls8c_ard_3-0-0_093088_2015-08-20_final
2015-08-22 09:27:26	ga_ls8c_ard_3-0-0_091087_2015-08-21_final
2015-08-22 09:27:50	ga_ls8c_ard_3-0-0_091088_2015-08-21_final
2015-08-24 09:15:05	ga_ls8c_ard_3-0-0_089087_2015-08-23_final
2015-08-24 09:15:29	ga_ls8c_ard_3-0-0_089088_2015-08-23_final
2015-08-25 09:58:21	ga_ls8c_ard_3-0-0_096087_2015-08-25_final
2015-09-05 09:40:16	ga_ls8c_ard_3-0-0_093088_2015-09-05_final
2015-09-07 09:27:31	ga_ls8c_ard_3-0-0_091087_2015-09-06_final
2015-09-07 09:27:55	ga_ls8c_ard_3-0-0_091088_2015-09-06_final
2015-09-09 09:15:11	ga_ls8c_ard_3-0-0_089087_2015-09-08_final
2015-09-09 09:15:35	ga_ls8c_ard_3-0-0_089088_2015-09-08_final
2015-09-10 09:58:27	ga_ls8c_ard_3-0-0_096087_2015-09-10_final
2015-09-12 09:46:07	ga_ls8c_ard_3-0-0_094087_2015-09-12_final
2015-09-12 09:46:31	ga_ls8c_ard_3-0-0_094088_2015-09-12_final
2015-09-14 09:34:10	ga_ls8c_ard_3-0-0_092088_2015-09-14_final
2015-09-16 09:21:26	ga_ls8c_ard_3-0-0_090087_2015-09-15_final
2015-09-16 09:21:50	ga_ls8c_ard_3-0-0_090088_2015-09-15_final
2015-09-25 09:15:18	ga_ls8c_ard_3-0-0_089087_2015-09-24_final
2015-09-25 09:15:42	ga_ls8c_ard_3-0-0_089088_2015-09-24_final
2015-09-26 09:58:34	ga_ls8c_ard_3-0-0_096087_2015-09-26_final
2015-10-09 09:27:41	ga_ls8c_ard_3-0-0_091087_2015-10-08_final
2015-10-09 09:28:05	ga_ls8c_ard_3-0-0_091088_2015-10-08_final
2015-10-21 09:52:51	ga_ls8c_ard_3-0-0_095088_2015-10-21_final
2015-10-27 09:15:48	ga_ls8c_ard_3-0-0_089088_2015-10-26_final
2015-10-28 09:58:40	ga_ls8c_ard_3-0-0_096087_2015-10-28_final
2015-11-06 09:52:54	ga_ls8c_ard_3-0-0_095088_2015-11-06_final
2015-11-22 09:52:56	ga_ls8c_ard_3-0-0_095088_2015-11-22_final
2015-11-28 09:15:52	ga_ls8c_ard_3-0-0_089088_2015-11-27_final
2015-11-29 09:58:43	ga_ls8c_ard_3-0-0_096087_2015-11-29_final
2017-03-18 09:40:07	ga_ls8c_ard_3-0-0_093088_2017-03-18_final
2017-03-20 09:27:44	ga_ls8c_ard_3-0-0_091088_2017-03-19_final
2017-04-26 09:45:56	ga_ls8c_ard_3-0-0_094088_2017-04-26_final
2017-04-28 09:33:09	ga_ls8c_ard_3-0-0_092087_2017-04-28_final
2017-04-28 09:33:33	ga_ls8c_ard_3-0-0_092088_2017-04-28_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
2017-05-07 09:27:00	ga_ls8c_ard_3-0-0_091087_2017-05-06_final
2017-05-07 09:27:24	ga_ls8c_ard_3-0-0_091088_2017-05-06_final
2017-06-13 09:45:54	ga_ls8c_ard_3-0-0_094087_2017-06-13_final
2017-06-13 09:46:18	ga_ls8c_ard_3-0-0_094088_2017-06-13_final
2017-06-15 09:33:33	ga_ls8c_ard_3-0-0_092087_2017-06-15_final
2017-06-15 09:33:57	ga_ls8c_ard_3-0-0_092088_2017-06-15_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
2017-06-24 09:27:25	ga_ls8c_ard_3-0-0_091087_2017-06-23_final
2017-06-24 09:27:49	ga_ls8c_ard_3-0-0_091088_2017-06-23_final
2017-07-31 09:46:34	ga_ls8c_ard_3-0-0_094088_2017-07-31_final
2017-08-02 09:34:13	ga_ls8c_ard_3-0-0_092088_2017-08-02_final
2017-08-09 09:40:03	ga_ls8c_ard_3-0-0_093087_2017-08-09_final
2017-08-09 09:40:27	ga_ls8c_ard_3-0-0_093088_2017-08-09_final
2017-08-11 09:27:42	ga_ls8c_ard_3-0-0_091087_2017-08-10_final
2017-08-11 09:28:06	ga_ls8c_ard_3-0-0_091088_2017-08-10_final
2017-08-25 09:40:31	ga_ls8c_ard_3-0-0_093088_2017-08-25_final
2017-08-27 09:27:46	ga_ls8c_ard_3-0-0_091087_2017-08-26_final
2017-08-27 09:28:10	ga_ls8c_ard_3-0-0_091088_2017-08-26_final
2020-06-07 09:33:49	ga_ls8c_ard_3-1-0_092088_2020-06-07_final
2020-06-14 09:39:40	ga_ls8c_ard_3-1-0_093087_2020-06-14_final
2020-06-14 09:40:04	ga_ls8c_ard_3-1-0_093088_2020-06-14_final
2020-06-16 09:27:19	ga_ls8c_ard_3-1-0_091087_2020-06-15_final
2020-06-16 09:27:43	ga_ls8c_ard_3-1-0_091088_2020-06-15_final
2020-07-02 09:27:27	ga_ls8c_ard_3-1-0_091087_2020-07-01_final
2020-07-02 09:27:51	ga_ls8c_ard_3-1-0_091088_2020-07-01_final
2020-07-07 09:46:02	ga_ls8c_ard_3-1-0_094087_2020-07-07_final
2020-07-07 09:46:26	ga_ls8c_ard_3-1-0_094088_2020-07-07_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
2020-07-16 09:39:54	ga_ls8c_ard_3-1-0_093087_2020-07-16_final
2020-07-16 09:40:18	ga_ls8c_ard_3-1-0_093088_2020-07-16_final
2020-07-18 09:27:33	ga_ls8c_ard_3-1-0_091087_2020-07-17_final
2020-07-18 09:27:57	ga_ls8c_ard_3-1-0_091088_2020-07-17_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

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