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
2015-10-14 09:46:37	ga_ls8c_ard_3-0-0_094088_2015-10-14_final
2015-10-30 09:46:43	ga_ls8c_ard_3-0-0_094088_2015-10-30_final
2015-11-22 09:52:56	ga_ls8c_ard_3-0-0_095088_2015-11-22_final
2015-11-24 09:40:35	ga_ls8c_ard_3-0-0_093088_2015-11-24_final
2015-12-28 09:28:12	ga_ls8c_ard_3-0-0_091088_2015-12-27_final
2015-12-28 09:28:36	ga_ls8c_ard_3-0-0_091089_2015-12-27_final
2015-12-30 09:15:49	ga_ls8c_ard_3-0-0_089088_2015-12-29_final
2015-12-30 09:16:13	ga_ls8c_ard_3-0-0_089089_2015-12-29_final
2016-01-13 09:28:09	ga_ls8c_ard_3-0-0_091088_2016-01-12_final
2016-01-13 09:28:33	ga_ls8c_ard_3-0-0_091089_2016-01-12_final
2016-01-15 09:15:47	ga_ls8c_ard_3-0-0_089088_2016-01-14_final
2016-01-15 09:16:11	ga_ls8c_ard_3-0-0_089089_2016-01-14_final
2016-02-03 09:46:39	ga_ls8c_ard_3-0-0_094088_2016-02-03_final
2016-02-05 09:34:17	ga_ls8c_ard_3-0-0_092088_2016-02-05_final
2016-02-05 09:34:41	ga_ls8c_ard_3-0-0_092089_2016-02-05_final
2016-02-14 09:28:01	ga_ls8c_ard_3-0-0_091088_2016-02-13_final
2016-02-14 09:28:25	ga_ls8c_ard_3-0-0_091089_2016-02-13_final
2016-02-21 09:34:08	ga_ls8c_ard_3-0-0_092088_2016-02-21_final
2016-02-21 09:34:32	ga_ls8c_ard_3-0-0_092089_2016-02-21_final
2016-02-23 09:21:47	ga_ls8c_ard_3-0-0_090088_2016-02-22_final
2016-02-23 09:22:11	ga_ls8c_ard_3-0-0_090089_2016-02-22_final
2016-03-01 09:28:22	ga_ls8c_ard_3-0-0_091089_2016-02-29_final
2016-03-03 09:15:36	ga_ls8c_ard_3-0-0_089088_2016-03-02_final
2016-03-03 09:16:00	ga_ls8c_ard_3-0-0_089089_2016-03-02_final
2016-03-06 09:46:29	ga_ls8c_ard_3-0-0_094088_2016-03-06_final
2016-03-08 09:34:07	ga_ls8c_ard_3-0-0_092088_2016-03-08_final
2016-03-08 09:34:31	ga_ls8c_ard_3-0-0_092089_2016-03-08_final
2016-04-20 09:15:15	ga_ls8c_ard_3-0-0_089088_2016-04-19_final
2016-04-20 09:15:39	ga_ls8c_ard_3-0-0_089089_2016-04-19_final
2016-04-25 09:33:45	ga_ls8c_ard_3-0-0_092088_2016-04-25_final
2016-04-25 09:34:09	ga_ls8c_ard_3-0-0_092089_2016-04-25_final
2016-04-27 09:21:50	ga_ls8c_ard_3-0-0_090089_2016-04-26_final
2019-01-21 09:27:53	ga_ls8c_ard_3-0-0_091088_2019-01-20_final
2019-01-21 09:28:17	ga_ls8c_ard_3-0-0_091089_2019-01-20_final
2019-01-23 09:15:31	ga_ls8c_ard_3-0-0_089088_2019-01-22_final
2019-01-23 09:15:55	ga_ls8c_ard_3-0-0_089089_2019-01-22_final
2019-01-26 09:46:24	ga_ls8c_ard_3-0-0_094088_2019-01-26_final
2019-01-28 09:34:02	ga_ls8c_ard_3-0-0_092088_2019-01-28_final
2019-01-28 09:34:26	ga_ls8c_ard_3-0-0_092089_2019-01-28_final
2019-01-30 09:21:40	ga_ls8c_ard_3-0-0_090088_2019-01-29_final
2019-01-30 09:22:04	ga_ls8c_ard_3-0-0_090089_2019-01-29_final
2019-02-02 09:52:33	ga_ls8c_ard_3-0-0_095088_2019-02-02_final
2019-02-04 09:40:12	ga_ls8c_ard_3-0-0_093088_2019-02-04_final
2019-02-08 09:15:28	ga_ls8c_ard_3-0-0_089088_2019-02-07_final
2019-02-08 09:15:52	ga_ls8c_ard_3-0-0_089089_2019-02-07_final
2019-02-15 09:21:38	ga_ls8c_ard_3-0-0_090088_2019-02-14_final
2019-02-15 09:22:02	ga_ls8c_ard_3-0-0_090089_2019-02-14_final
2019-02-18 09:52:31	ga_ls8c_ard_3-0-0_095088_2019-02-18_final
2019-02-20 09:40:09	ga_ls8c_ard_3-0-0_093088_2019-02-20_final
2019-02-22 09:28:11	ga_ls8c_ard_3-0-0_091089_2019-02-21_final
2019-03-01 09:33:56	ga_ls8c_ard_3-0-0_092088_2019-03-01_final
2019-03-01 09:34:20	ga_ls8c_ard_3-0-0_092089_2019-03-01_final
2019-03-03 09:21:34	ga_ls8c_ard_3-0-0_090088_2019-03-02_final
2019-03-03 09:21:58	ga_ls8c_ard_3-0-0_090089_2019-03-02_final
2019-03-06 09:52:27	ga_ls8c_ard_3-0-0_095088_2019-03-06_final
2019-03-08 09:40:04	ga_ls8c_ard_3-1-0_093088_2019-03-08_final
2019-03-12 09:15:19	ga_ls8c_ard_3-1-0_089088_2019-03-11_final
2019-03-12 09:15:43	ga_ls8c_ard_3-1-0_089089_2019-03-11_final
2019-03-19 09:21:28	ga_ls8c_ard_3-1-0_090088_2019-03-18_final
2019-03-19 09:21:52	ga_ls8c_ard_3-1-0_090089_2019-03-18_final
2019-03-22 09:52:22	ga_ls8c_ard_3-1-0_095088_2019-03-22_final
2019-03-24 09:40:00	ga_ls8c_ard_3-1-0_093088_2019-03-24_final
2019-03-26 09:28:02	ga_ls8c_ard_3-1-0_091089_2019-03-25_final
2019-03-28 09:15:16	ga_ls8c_ard_3-1-0_089088_2019-03-27_final
2019-03-28 09:15:40	ga_ls8c_ard_3-1-0_089089_2019-03-27_final
2019-04-04 09:21:25	ga_ls8c_ard_3-1-0_090088_2019-04-03_final
2019-04-04 09:21:49	ga_ls8c_ard_3-1-0_090089_2019-04-03_final
2019-04-07 09:52:18	ga_ls8c_ard_3-1-0_095088_2019-04-07_final
2019-04-09 09:39:56	ga_ls8c_ard_3-1-0_093088_2019-04-09_final
2019-04-18 09:34:05	ga_ls8c_ard_3-1-0_092089_2019-04-18_final
2019-04-20 09:21:19	ga_ls8c_ard_3-0-0_090088_2019-04-19_final
2019-04-20 09:21:43	ga_ls8c_ard_3-0-0_090089_2019-04-19_final
2019-04-23 09:52:12	ga_ls8c_ard_3-0-0_095088_2019-04-23_final
2019-04-25 09:39:49	ga_ls8c_ard_3-0-0_093088_2019-04-25_final
2019-04-27 09:27:28	ga_ls8c_ard_3-0-0_091088_2019-04-26_final
2019-04-27 09:27:52	ga_ls8c_ard_3-0-0_091089_2019-04-26_final
2019-04-29 09:15:07	ga_ls8c_ard_3-0-0_089088_2019-04-28_final
2019-04-29 09:15:31	ga_ls8c_ard_3-0-0_089089_2019-04-28_final
2019-05-06 09:21:21	ga_ls8c_ard_3-0-0_090088_2019-05-05_final
2019-05-06 09:21:45	ga_ls8c_ard_3-0-0_090089_2019-05-05_final
2019-05-22 09:21:32	ga_ls8c_ard_3-0-0_090088_2019-05-21_final
2019-05-22 09:21:56	ga_ls8c_ard_3-0-0_090089_2019-05-21_final
2019-05-25 09:52:27	ga_ls8c_ard_3-0-0_095088_2019-05-25_final
2019-05-27 09:40:07	ga_ls8c_ard_3-0-0_093088_2019-05-27_final
2019-05-29 09:27:46	ga_ls8c_ard_3-0-0_091088_2019-05-28_final
2019-05-29 09:28:10	ga_ls8c_ard_3-0-0_091089_2019-05-28_final
2019-06-05 09:34:00	ga_ls8c_ard_3-1-0_092088_2019-06-05_final
2019-06-05 09:34:24	ga_ls8c_ard_3-0-0_092089_2019-06-05_final
2019-06-07 09:21:40	ga_ls8c_ard_3-0-0_090088_2019-06-06_final
2019-06-07 09:22:04	ga_ls8c_ard_3-0-0_090089_2019-06-06_final
2019-11-10 09:46:59	ga_ls8c_ard_3-1-0_094088_2019-11-10_final
2019-11-26 09:46:56	ga_ls8c_ard_3-1-0_094088_2019-11-26_final
2019-12-28 09:46:51	ga_ls8c_ard_3-1-0_094088_2019-12-28_final
2019-12-30 09:34:29	ga_ls8c_ard_3-1-0_092088_2019-12-30_final
2019-12-30 09:34:53	ga_ls8c_ard_3-1-0_092089_2019-12-30_final
2020-01-29 09:46:43	ga_ls8c_ard_3-1-0_094088_2020-01-29_final
2020-02-05 09:52:51	ga_ls8c_ard_3-1-0_095088_2020-02-05_final
2020-02-07 09:40:29	ga_ls8c_ard_3-1-0_093088_2020-02-07_final
2020-02-23 09:40:26	ga_ls8c_ard_3-1-0_093088_2020-02-23_final
2020-02-25 09:28:03	ga_ls8c_ard_3-1-0_091088_2020-02-24_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