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
2015-08-22 09:28:14	ga_ls8c_ard_3-0-0_091089_2015-08-21_final
2015-08-22 09:28:38	ga_ls8c_ard_3-0-0_091090_2015-08-21_final
2015-08-24 09:15:53	ga_ls8c_ard_3-0-0_089089_2015-08-23_final
2015-08-24 09:16:17	ga_ls8c_ard_3-0-0_089090_2015-08-23_final
2015-08-31 09:22:06	ga_ls8c_ard_3-0-0_090089_2015-08-30_final
2015-08-31 09:22:30	ga_ls8c_ard_3-0-0_090090_2015-08-30_final
2015-09-09 09:15:59	ga_ls8c_ard_3-0-0_089089_2015-09-08_final
2015-09-09 09:16:23	ga_ls8c_ard_3-0-0_089090_2015-09-08_final
2015-09-14 09:34:34	ga_ls8c_ard_3-0-0_092089_2015-09-14_final
2015-09-14 09:34:58	ga_ls8c_ard_3-0-0_092090_2015-09-14_final
2015-09-16 09:22:14	ga_ls8c_ard_3-0-0_090089_2015-09-15_final
2015-09-16 09:22:37	ga_ls8c_ard_3-0-0_090090_2015-09-15_final
2015-09-25 09:16:06	ga_ls8c_ard_3-0-0_089089_2015-09-24_final
2015-09-25 09:16:30	ga_ls8c_ard_3-0-0_089090_2015-09-24_final
2015-10-18 09:22:19	ga_ls8c_ard_3-0-0_090089_2015-10-17_final
2015-10-18 09:22:43	ga_ls8c_ard_3-0-0_090090_2015-10-17_final
2015-10-27 09:16:12	ga_ls8c_ard_3-0-0_089089_2015-10-26_final
2015-10-27 09:16:36	ga_ls8c_ard_3-0-0_089090_2015-10-26_final
2015-11-12 09:16:12	ga_ls8c_ard_3-0-0_089089_2015-11-11_final
2015-11-12 09:16:36	ga_ls8c_ard_3-0-0_089090_2015-11-11_final
2015-12-05 09:22:25	ga_ls8c_ard_3-0-0_090089_2015-12-04_final
2015-12-12 09:28:35	ga_ls8c_ard_3-0-0_091089_2015-12-11_final
2015-12-12 09:28:59	ga_ls8c_ard_3-0-0_091090_2015-12-11_final
2015-12-14 09:16:14	ga_ls8c_ard_3-0-0_089089_2015-12-13_final
2015-12-14 09:16:38	ga_ls8c_ard_3-0-0_089090_2015-12-13_final
2015-12-21 09:22:26	ga_ls8c_ard_3-0-0_090089_2015-12-20_final
2015-12-21 09:22:50	ga_ls8c_ard_3-0-0_090090_2015-12-20_final
2018-03-07 09:28:31	ga_ls8c_ard_3-0-0_091090_2018-03-06_final
2018-04-24 09:28:06	ga_ls8c_ard_3-0-0_091090_2018-04-23_final
2018-05-01 09:34:13	ga_ls8c_ard_3-0-0_092090_2018-05-01_final
2018-05-17 09:34:02	ga_ls8c_ard_3-0-0_092090_2018-05-17_final
2019-01-07 09:15:58	ga_ls8c_ard_3-0-0_089089_2019-01-06_final
2019-01-07 09:16:22	ga_ls8c_ard_3-0-0_089090_2019-01-06_final
2019-01-28 09:34:26	ga_ls8c_ard_3-0-0_092089_2019-01-28_final
2019-01-28 09:34:50	ga_ls8c_ard_3-0-0_092090_2019-01-28_final
2019-02-06 09:28:14	ga_ls8c_ard_3-0-0_091089_2019-02-05_final
2019-02-06 09:28:38	ga_ls8c_ard_3-0-0_091090_2019-02-05_final
2019-02-15 09:22:02	ga_ls8c_ard_3-0-0_090089_2019-02-14_final
2019-02-15 09:22:26	ga_ls8c_ard_3-0-0_090090_2019-02-14_final
2019-05-22 09:21:56	ga_ls8c_ard_3-0-0_090089_2019-05-21_final
2019-05-22 09:22:20	ga_ls8c_ard_3-0-0_090090_2019-05-21_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
2019-11-12 09:35:00	ga_ls8c_ard_3-1-0_092089_2019-11-12_final
2019-11-12 09:35:24	ga_ls8c_ard_3-1-0_092090_2019-11-12_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
2019-11-23 09:16:25	ga_ls8c_ard_3-1-0_089089_2019-11-22_final
2019-11-23 09:16:49	ga_ls8c_ard_3-1-0_089090_2019-11-22_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
2019-11-30 09:22:36	ga_ls8c_ard_3-1-0_090089_2019-11-29_final
2019-11-30 09:23:00	ga_ls8c_ard_3-1-0_090090_2019-11-29_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
2019-12-14 09:34:57	ga_ls8c_ard_3-2-0_092089_2019-12-14_final
2019-12-14 09:35:21	ga_ls8c_ard_3-2-0_092090_2019-12-14_final
2019-12-16 09:22:35	ga_ls8c_ard_3-2-0_090089_2019-12-15_final
2019-12-16 09:22:59	ga_ls8c_ard_3-2-0_090090_2019-12-15_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
2019-12-25 09:16:22	ga_ls8c_ard_3-1-0_089089_2019-12-24_final
2019-12-25 09:16:46	ga_ls8c_ard_3-1-0_089090_2019-12-24_final
2019-12-30 09:34:53	ga_ls8c_ard_3-1-0_092089_2019-12-30_final
2019-12-30 09:35:17	ga_ls8c_ard_3-1-0_092090_2019-12-30_final
2020-01-10 09:16:18	ga_ls8c_ard_3-1-0_089089_2020-01-09_final
2020-01-10 09:16:42	ga_ls8c_ard_3-1-0_089090_2020-01-09_final
2020-01-15 09:34:49	ga_ls8c_ard_3-1-0_092089_2020-01-15_final
2020-01-15 09:35:13	ga_ls8c_ard_3-1-0_092090_2020-01-15_final
2020-01-17 09:22:27	ga_ls8c_ard_3-1-0_090089_2020-01-16_final
2020-01-17 09:22:51	ga_ls8c_ard_3-1-0_090090_2020-01-16_final
2020-01-26 09:16:14	ga_ls8c_ard_3-1-0_089089_2020-01-25_final
2020-01-26 09:16:38	ga_ls8c_ard_3-1-0_089090_2020-01-25_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
2020-02-02 09:22:22	ga_ls8c_ard_3-1-0_090089_2020-02-01_final
2020-02-02 09:22:46	ga_ls8c_ard_3-1-0_090090_2020-02-01_final
2020-02-09 09:28:31	ga_ls8c_ard_3-1-0_091089_2020-02-08_final
2020-02-09 09:28:55	ga_ls8c_ard_3-1-0_091090_2020-02-08_final
2024-01-19 09:28:34	ga_ls8c_ard_3-2-1_091089_2024-01-18_final
2024-01-19 09:28:58	ga_ls8c_ard_3-2-1_091090_2024-01-18_final
2024-01-26 09:34:39	ga_ls8c_ard_3-2-1_092089_2024-01-26_final
2024-01-26 09:35:03	ga_ls8c_ard_3-2-1_092090_2024-01-26_final
2024-02-20 09:28:32	ga_ls8c_ard_3-2-1_091089_2024-02-19_final
2024-02-20 09:28:56	ga_ls8c_ard_3-2-1_091090_2024-02-19_final
2024-02-22 09:16:10	ga_ls8c_ard_3-2-1_089089_2024-02-21_final
2024-02-22 09:16:34	ga_ls8c_ard_3-2-1_089090_2024-02-21_final
2024-03-07 09:28:44	ga_ls8c_ard_3-2-1_091090_2024-03-06_final
2024-03-23 09:28:11	ga_ls8c_ard_3-2-1_091089_2024-03-22_final
2024-03-23 09:28:35	ga_ls8c_ard_3-2-1_091090_2024-03-22_final
2024-04-26 09:15:57	ga_ls8c_ard_3-2-1_089090_2024-04-25_final
2024-05-01 09:34:23	ga_ls8c_ard_3-2-1_092090_2024-05-01_final
2024-05-17 09:34:10	ga_ls8c_ard_3-2-1_092090_2024-05-17_nrt
2024-05-19 09:21:24	ga_ls8c_ard_3-2-1_090089_2024-05-18_nrt

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