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
2019-07-09 09:22:13	ga_ls8c_ard_3-1-0_090089_2019-07-08_final
2019-07-09 09:22:37	ga_ls8c_ard_3-1-0_090090_2019-07-08_final
2019-07-18 09:16:03	ga_ls8c_ard_3-1-0_089089_2019-07-17_final
2019-07-18 09:16:27	ga_ls8c_ard_3-1-0_089090_2019-07-17_final
2019-08-01 09:28:31	ga_ls8c_ard_3-1-0_091089_2019-07-31_final
2019-08-01 09:28:55	ga_ls8c_ard_3-1-0_091090_2019-07-31_final
2019-08-26 09:22:28	ga_ls8c_ard_3-1-0_090089_2019-08-25_final
2019-08-26 09:22:52	ga_ls8c_ard_3-1-0_090090_2019-08-25_final
2019-09-02 09:28:40	ga_ls8c_ard_3-1-0_091089_2019-09-01_final
2019-09-02 09:29:04	ga_ls8c_ard_3-1-0_091090_2019-09-01_final
2019-09-04 09:16:19	ga_ls8c_ard_3-1-0_089089_2019-09-03_final
2019-09-04 09:16:43	ga_ls8c_ard_3-1-0_089090_2019-09-03_final
2019-09-09 09:34:53	ga_ls8c_ard_3-1-0_092089_2019-09-09_final
2019-09-09 09:35:17	ga_ls8c_ard_3-1-0_092090_2019-09-09_final
2019-09-11 09:22:32	ga_ls8c_ard_3-1-0_090089_2019-09-10_final
2019-09-11 09:22:56	ga_ls8c_ard_3-1-0_090090_2019-09-10_final
2019-09-18 09:28:46	ga_ls8c_ard_3-1-0_091089_2019-09-17_final
2019-09-18 09:29:10	ga_ls8c_ard_3-1-0_091090_2019-09-17_final
2019-09-20 09:16:25	ga_ls8c_ard_3-1-0_089089_2019-09-19_final
2019-09-20 09:16:49	ga_ls8c_ard_3-1-0_089090_2019-09-19_final
2019-09-27 09:22:37	ga_ls8c_ard_3-1-0_090089_2019-09-26_final
2019-09-27 09:23:01	ga_ls8c_ard_3-1-0_090090_2019-09-26_final
2019-10-11 09:35:02	ga_ls8c_ard_3-1-0_092089_2019-10-11_final
2019-10-11 09:35:26	ga_ls8c_ard_3-1-0_092090_2019-10-11_final
2019-10-27 09:35:03	ga_ls8c_ard_3-1-0_092089_2019-10-27_final
2019-10-27 09:35:27	ga_ls8c_ard_3-1-0_092090_2019-10-27_final
2019-10-29 09:22:41	ga_ls8c_ard_3-1-0_090089_2019-10-28_final
2019-10-29 09:23:05	ga_ls8c_ard_3-1-0_090090_2019-10-28_final
2019-11-05 09:28:51	ga_ls8c_ard_3-1-0_091089_2019-11-04_final
2019-11-05 09:29:15	ga_ls8c_ard_3-1-0_091090_2019-11-04_final
2019-11-07 09:16:29	ga_ls8c_ard_3-1-0_089089_2019-11-06_final
2019-11-07 09:16:53	ga_ls8c_ard_3-1-0_089090_2019-11-06_final
2019-11-14 09:22:38	ga_ls8c_ard_3-1-0_090089_2019-11-13_final
2019-11-14 09:23:02	ga_ls8c_ard_3-1-0_090090_2019-11-13_final
2019-11-28 09:34:58	ga_ls8c_ard_3-1-0_092089_2019-11-28_final
2019-11-28 09:35:22	ga_ls8c_ard_3-1-0_092090_2019-11-28_final
2019-12-07 09:28:47	ga_ls8c_ard_3-1-0_091089_2019-12-06_final
2019-12-07 09:29:11	ga_ls8c_ard_3-1-0_091090_2019-12-06_final
2019-12-23 09:28:44	ga_ls8c_ard_3-1-0_091089_2019-12-22_final
2019-12-23 09:29:08	ga_ls8c_ard_3-1-0_091090_2019-12-22_final
2020-01-31 09:34:44	ga_ls8c_ard_3-1-0_092089_2020-01-31_final
2020-01-31 09:35:08	ga_ls8c_ard_3-1-0_092090_2020-01-31_final
2020-05-17 09:15:32	ga_ls8c_ard_3-1-0_089089_2020-05-16_final
2020-05-17 09:15:56	ga_ls8c_ard_3-1-0_089090_2020-05-16_final
2020-05-31 09:27:57	ga_ls8c_ard_3-1-0_091089_2020-05-30_final
2020-05-31 09:28:21	ga_ls8c_ard_3-1-0_091090_2020-05-30_final
2020-06-02 09:15:37	ga_ls8c_ard_3-1-0_089089_2020-06-01_final
2020-06-02 09:16:01	ga_ls8c_ard_3-1-0_089090_2020-06-01_final
2020-06-07 09:34:13	ga_ls8c_ard_3-1-0_092089_2020-06-07_final
2020-06-07 09:34:37	ga_ls8c_ard_3-1-0_092090_2020-06-07_final
2020-06-09 09:21:52	ga_ls8c_ard_3-1-0_090089_2020-06-08_final
2020-06-09 09:22:16	ga_ls8c_ard_3-1-0_090090_2020-06-08_final
2020-06-18 09:15:47	ga_ls8c_ard_3-1-0_089089_2020-06-17_final
2020-06-18 09:16:11	ga_ls8c_ard_3-1-0_089090_2020-06-17_final
2020-06-23 09:34:22	ga_ls8c_ard_3-1-0_092089_2020-06-23_final
2020-06-23 09:34:46	ga_ls8c_ard_3-1-0_092090_2020-06-23_final
2020-06-25 09:22:01	ga_ls8c_ard_3-1-0_090089_2020-06-24_final
2020-06-25 09:22:25	ga_ls8c_ard_3-1-0_090090_2020-06-24_final
2020-07-04 09:15:54	ga_ls8c_ard_3-1-0_089089_2020-07-03_final
2020-07-04 09:16:18	ga_ls8c_ard_3-1-0_089090_2020-07-03_final
2020-07-09 09:34:29	ga_ls8c_ard_3-1-0_092089_2020-07-09_final
2020-07-09 09:34:53	ga_ls8c_ard_3-1-0_092090_2020-07-09_final
2020-07-11 09:22:08	ga_ls8c_ard_3-1-0_090089_2020-07-10_final
2020-07-11 09:22:32	ga_ls8c_ard_3-1-0_090090_2020-07-10_final
2020-07-25 09:34:34	ga_ls8c_ard_3-1-0_092089_2020-07-25_final
2020-07-25 09:34:58	ga_ls8c_ard_3-1-0_092090_2020-07-25_final
2020-07-27 09:22:13	ga_ls8c_ard_3-1-0_090089_2020-07-26_final
2020-07-27 09:22:37	ga_ls8c_ard_3-1-0_090090_2020-07-26_final
2020-08-05 09:16:04	ga_ls8c_ard_3-1-0_089089_2020-08-04_final
2020-08-05 09:16:28	ga_ls8c_ard_3-1-0_089090_2020-08-04_final
2020-08-12 09:22:16	ga_ls8c_ard_3-1-0_090089_2020-08-11_final
2020-08-12 09:22:40	ga_ls8c_ard_3-1-0_090090_2020-08-11_final
2020-08-19 09:28:31	ga_ls8c_ard_3-1-0_091089_2020-08-18_final
2020-08-19 09:28:55	ga_ls8c_ard_3-1-0_091090_2020-08-18_final
2020-08-21 09:16:10	ga_ls8c_ard_3-1-0_089089_2020-08-20_final
2020-08-21 09:16:34	ga_ls8c_ard_3-1-0_089090_2020-08-20_final
2020-08-26 09:34:45	ga_ls8c_ard_3-1-0_092089_2020-08-26_final
2020-08-26 09:35:09	ga_ls8c_ard_3-1-0_092090_2020-08-26_final
2020-08-28 09:22:25	ga_ls8c_ard_3-1-0_090089_2020-08-27_final
2020-08-28 09:22:49	ga_ls8c_ard_3-1-0_090090_2020-08-27_final
2020-09-04 09:28:39	ga_ls8c_ard_3-1-0_091089_2020-09-03_final
2020-09-04 09:29:03	ga_ls8c_ard_3-1-0_091090_2020-09-03_final
2020-10-06 09:28:48	ga_ls8c_ard_3-1-0_091089_2020-10-05_final
2020-10-06 09:29:11	ga_ls8c_ard_3-1-0_091090_2020-10-05_final
2020-10-13 09:34:59	ga_ls8c_ard_3-1-0_092089_2020-10-13_final
2020-10-15 09:22:37	ga_ls8c_ard_3-1-0_090089_2020-10-14_final
2020-10-15 09:23:01	ga_ls8c_ard_3-1-0_090090_2020-10-14_final
2020-10-31 09:22:36	ga_ls8c_ard_3-1-0_090089_2020-10-30_final
2020-10-31 09:23:00	ga_ls8c_ard_3-1-0_090090_2020-10-30_final
2020-11-23 09:28:47	ga_ls8c_ard_3-1-0_091089_2020-11-22_final
2020-11-23 09:29:11	ga_ls8c_ard_3-1-0_091090_2020-11-22_final
2020-11-25 09:16:26	ga_ls8c_ard_3-1-0_089089_2020-11-24_final
2020-11-25 09:16:50	ga_ls8c_ard_3-1-0_089090_2020-11-24_final
2022-01-29 09:28:36	ga_ls8c_ard_3-2-1_091089_2022-01-28_final
2022-01-29 09:29:00	ga_ls8c_ard_3-2-1_091090_2022-01-28_final
2022-01-31 09:16:15	ga_ls8c_ard_3-2-1_089089_2022-01-30_final
2022-01-31 09:16:39	ga_ls8c_ard_3-2-1_089090_2022-01-30_final
2022-02-05 09:34:47	ga_ls8c_ard_3-2-1_092089_2022-02-05_final
2022-02-05 09:35:11	ga_ls8c_ard_3-2-1_092090_2022-02-05_final
2022-02-07 09:22:25	ga_ls8c_ard_3-2-1_090089_2022-02-06_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