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
2015-01-03 09:22:43	ga_ls8c_ard_3-0-0_090090_2015-01-02_final
2015-03-31 09:28:42	ga_ls8c_ard_3-0-0_091091_2015-03-30_final
2015-05-25 09:34:07	ga_ls8c_ard_3-0-0_092090_2015-05-25_final
2015-06-19 09:28:10	ga_ls8c_ard_3-0-0_091090_2015-06-18_final
2015-06-19 09:28:34	ga_ls8c_ard_3-0-0_091091_2015-06-18_final
2015-06-26 09:34:22	ga_ls8c_ard_3-0-0_092090_2015-06-26_final
2015-06-28 09:22:03	ga_ls8c_ard_3-0-0_090090_2015-06-27_final
2015-06-28 09:22:27	ga_ls8c_ard_3-0-0_090091_2015-06-27_final
2015-07-14 09:22:14	ga_ls8c_ard_3-0-0_090090_2015-07-13_final
2015-07-14 09:22:37	ga_ls8c_ard_3-0-0_090091_2015-07-13_final
2015-07-28 09:34:39	ga_ls8c_ard_3-0-0_092090_2015-07-28_final
2015-07-30 09:22:18	ga_ls8c_ard_3-0-0_090090_2015-07-29_final
2015-07-30 09:22:42	ga_ls8c_ard_3-0-0_090091_2015-07-29_final
2015-08-15 09:22:24	ga_ls8c_ard_3-0-0_090090_2015-08-14_final
2015-08-22 09:29:02	ga_ls8c_ard_3-0-0_091091_2015-08-21_final
2015-08-24 09:16:17	ga_ls8c_ard_3-0-0_089090_2015-08-23_final
2015-09-07 09:29:07	ga_ls8c_ard_3-0-0_091091_2015-09-06_final
2015-09-25 09:16:30	ga_ls8c_ard_3-0-0_089090_2015-09-24_final
2015-10-09 09:28:53	ga_ls8c_ard_3-0-0_091090_2015-10-08_final
2015-10-09 09:29:17	ga_ls8c_ard_3-0-0_091091_2015-10-08_final
2015-11-10 09:29:22	ga_ls8c_ard_3-0-0_091091_2015-11-09_final
2015-11-12 09:16:36	ga_ls8c_ard_3-0-0_089090_2015-11-11_final
2015-12-19 09:35:11	ga_ls8c_ard_3-0-0_092090_2015-12-19_final
2016-12-23 09:23:19	ga_ls8c_ard_3-0-0_090091_2016-12-22_final
2017-01-15 09:29:26	ga_ls8c_ard_3-0-0_091091_2017-01-14_final
2017-01-31 09:29:19	ga_ls8c_ard_3-0-0_091091_2017-01-30_final
2018-03-07 09:28:55	ga_ls8c_ard_3-0-0_091091_2018-03-06_final
2018-03-23 09:28:47	ga_ls8c_ard_3-0-0_091091_2018-03-22_final
2018-04-24 09:28:30	ga_ls8c_ard_3-0-0_091091_2018-04-23_final
2018-09-15 09:28:53	ga_ls8c_ard_3-0-0_091091_2018-09-14_final
2018-09-22 09:34:42	ga_ls8c_ard_3-0-0_092090_2018-09-22_final
2018-09-24 09:22:22	ga_ls8c_ard_3-0-0_090090_2018-09-23_final
2018-09-24 09:22:46	ga_ls8c_ard_3-0-0_090091_2018-09-23_final
2018-10-01 09:28:36	ga_ls8c_ard_3-0-0_091090_2018-09-30_final
2018-10-01 09:29:00	ga_ls8c_ard_3-0-0_091091_2018-09-30_final
2018-10-08 09:34:50	ga_ls8c_ard_3-0-0_092090_2018-10-08_final
2018-10-10 09:22:30	ga_ls8c_ard_3-0-0_090090_2018-10-09_final
2018-10-10 09:22:54	ga_ls8c_ard_3-0-0_090091_2018-10-09_final
2018-10-17 09:29:07	ga_ls8c_ard_3-0-0_091091_2018-10-16_final
2018-10-24 09:34:56	ga_ls8c_ard_3-0-0_092090_2018-10-24_final
2018-10-26 09:22:59	ga_ls8c_ard_3-0-0_090091_2018-10-25_final
2018-11-02 09:29:11	ga_ls8c_ard_3-0-0_091091_2018-11-01_final
2018-11-09 09:34:59	ga_ls8c_ard_3-0-0_092090_2018-11-09_final
2018-11-11 09:23:01	ga_ls8c_ard_3-0-0_090091_2018-11-10_final
2018-11-18 09:29:12	ga_ls8c_ard_3-0-0_091091_2018-11-17_final
2018-11-27 09:22:37	ga_ls8c_ard_3-0-0_090090_2018-11-26_final
2018-11-27 09:23:01	ga_ls8c_ard_3-0-0_090091_2018-11-26_final
2018-12-04 09:28:46	ga_ls8c_ard_3-0-0_091090_2018-12-03_final
2018-12-04 09:29:10	ga_ls8c_ard_3-0-0_091091_2018-12-03_final
2018-12-06 09:16:24	ga_ls8c_ard_3-0-0_089090_2018-12-05_final
2018-12-13 09:22:57	ga_ls8c_ard_3-0-0_090091_2018-12-12_final
2018-12-29 09:22:58	ga_ls8c_ard_3-0-0_090091_2018-12-28_final
2019-01-05 09:29:08	ga_ls8c_ard_3-0-0_091091_2019-01-04_final
2019-01-14 09:22:32	ga_ls8c_ard_3-0-0_090090_2019-01-13_final
2019-01-14 09:22:56	ga_ls8c_ard_3-0-0_090091_2019-01-13_final
2019-01-21 09:29:05	ga_ls8c_ard_3-0-0_091091_2019-01-20_final
2019-01-30 09:22:28	ga_ls8c_ard_3-0-0_090090_2019-01-29_final
2019-01-30 09:22:52	ga_ls8c_ard_3-0-0_090091_2019-01-29_final
2019-02-06 09:29:02	ga_ls8c_ard_3-0-0_091091_2019-02-05_final
2019-02-15 09:22:50	ga_ls8c_ard_3-0-0_090091_2019-02-14_final
2019-03-03 09:22:45	ga_ls8c_ard_3-0-0_090091_2019-03-02_final
2019-03-10 09:28:54	ga_ls8c_ard_3-1-0_091091_2019-03-09_final
2019-03-19 09:22:40	ga_ls8c_ard_3-1-0_090091_2019-03-18_final
2019-04-04 09:22:37	ga_ls8c_ard_3-1-0_090091_2019-04-03_final
2019-04-11 09:28:45	ga_ls8c_ard_3-1-0_091091_2019-04-10_final
2019-04-20 09:22:31	ga_ls8c_ard_3-0-0_090091_2019-04-19_final
2019-04-27 09:28:16	ga_ls8c_ard_3-0-0_091090_2019-04-26_final
2019-04-27 09:28:40	ga_ls8c_ard_3-0-0_091091_2019-04-26_final
2019-04-29 09:15:55	ga_ls8c_ard_3-0-0_089090_2019-04-28_final
2019-05-06 09:22:33	ga_ls8c_ard_3-0-0_090091_2019-05-05_final
2019-05-22 09:22:20	ga_ls8c_ard_3-0-0_090090_2019-05-21_final
2019-05-22 09:22:44	ga_ls8c_ard_3-0-0_090091_2019-05-21_final
2019-05-29 09:28:34	ga_ls8c_ard_3-0-0_091090_2019-05-28_final
2019-05-29 09:28:58	ga_ls8c_ard_3-0-0_091091_2019-05-28_final
2019-06-23 09:22:57	ga_ls8c_ard_3-1-0_090091_2019-06-22_final
2019-08-10 09:23:12	ga_ls8c_ard_3-1-0_090091_2019-08-09_final
2019-08-26 09:23:16	ga_ls8c_ard_3-1-0_090091_2019-08-25_final
2019-09-20 09:16:49	ga_ls8c_ard_3-1-0_089090_2019-09-19_final
2019-09-27 09:23:01	ga_ls8c_ard_3-1-0_090090_2019-09-26_final
2019-09-27 09:23:25	ga_ls8c_ard_3-1-0_090091_2019-09-26_final
2019-10-13 09:23:28	ga_ls8c_ard_3-1-0_090091_2019-10-12_final
2020-07-02 09:28:39	ga_ls8c_ard_3-1-0_091090_2020-07-01_final
2020-07-02 09:29:03	ga_ls8c_ard_3-1-0_091091_2020-07-01_final
2020-07-18 09:29:09	ga_ls8c_ard_3-1-0_091091_2020-07-17_final
2020-09-04 09:29:03	ga_ls8c_ard_3-1-0_091090_2020-09-03_final
2020-09-04 09:29:27	ga_ls8c_ard_3-1-0_091091_2020-09-03_final
2023-05-01 09:22:34	ga_ls8c_ard_3-2-1_090091_2023-04-30_final
2023-05-17 09:22:21	ga_ls8c_ard_3-2-1_090091_2023-05-16_final
2023-05-26 09:15:49	ga_ls8c_ard_3-2-1_089090_2023-05-25_final
2023-05-31 09:34:21	ga_ls8c_ard_3-2-1_092090_2023-05-31_final
2023-06-02 09:22:24	ga_ls8c_ard_3-2-1_090091_2023-06-01_final
2023-08-12 09:28:44	ga_ls8c_ard_3-2-1_091090_2023-08-11_final
2023-08-19 09:35:00	ga_ls8c_ard_3-2-1_092090_2023-08-19_final
2023-08-21 09:23:04	ga_ls8c_ard_3-2-1_090091_2023-08-20_final
2023-08-28 09:28:52	ga_ls8c_ard_3-2-1_091090_2023-08-27_final
2023-09-04 09:35:02	ga_ls8c_ard_3-2-1_092090_2023-09-04_final
2023-09-06 09:23:03	ga_ls8c_ard_3-2-1_090091_2023-09-05_final
2023-09-15 09:16:34	ga_ls8c_ard_3-2-1_089090_2023-09-14_final
2023-09-20 09:35:07	ga_ls8c_ard_3-2-1_092090_2023-09-20_final
2023-09-22 09:22:45	ga_ls8c_ard_3-2-1_090090_2023-09-21_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