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
2016-11-24 09:53:08	ga_ls8c_ard_3-0-0_095088_2016-11-24_final
2016-11-28 09:28:48	ga_ls8c_ard_3-0-0_091089_2016-11-27_final
2016-11-30 09:16:26	ga_ls8c_ard_3-0-0_089089_2016-11-29_final
2016-12-07 09:22:12	ga_ls8c_ard_3-0-0_090088_2016-12-06_final
2016-12-07 09:22:36	ga_ls8c_ard_3-0-0_090089_2016-12-06_final
2016-12-14 09:28:45	ga_ls8c_ard_3-0-0_091089_2016-12-13_final
2016-12-19 09:46:51	ga_ls8c_ard_3-0-0_094088_2016-12-19_final
2016-12-21 09:34:53	ga_ls8c_ard_3-0-0_092089_2016-12-21_final
2016-12-23 09:22:07	ga_ls8c_ard_3-0-0_090088_2016-12-22_final
2016-12-23 09:22:31	ga_ls8c_ard_3-0-0_090089_2016-12-22_final
2016-12-26 09:53:01	ga_ls8c_ard_3-0-0_095088_2016-12-26_final
2016-12-28 09:40:40	ga_ls8c_ard_3-0-0_093088_2016-12-28_final
2016-12-30 09:28:42	ga_ls8c_ard_3-0-0_091089_2016-12-29_final
2017-01-01 09:16:20	ga_ls8c_ard_3-0-0_089089_2016-12-31_final
2017-01-06 09:34:51	ga_ls8c_ard_3-0-0_092089_2017-01-06_final
2017-01-22 09:34:46	ga_ls8c_ard_3-0-0_092089_2017-01-22_final
2017-01-31 09:28:31	ga_ls8c_ard_3-0-0_091089_2017-01-30_final
2017-02-02 09:15:45	ga_ls8c_ard_3-0-0_089088_2017-02-01_final
2017-02-02 09:16:08	ga_ls8c_ard_3-0-0_089089_2017-02-01_final
2017-02-16 09:28:24	ga_ls8c_ard_3-0-0_091089_2017-02-15_final
2017-02-18 09:15:38	ga_ls8c_ard_3-0-0_089088_2017-02-17_final
2017-02-18 09:16:02	ga_ls8c_ard_3-0-0_089089_2017-02-17_final
2017-02-23 09:34:33	ga_ls8c_ard_3-0-0_092089_2017-02-23_final
2017-02-25 09:22:10	ga_ls8c_ard_3-0-0_090089_2017-02-24_final
2017-03-04 09:28:18	ga_ls8c_ard_3-0-0_091089_2017-03-03_final
2017-03-06 09:15:55	ga_ls8c_ard_3-0-0_089089_2017-03-05_final
2017-03-11 09:34:25	ga_ls8c_ard_3-0-0_092089_2017-03-11_final
2017-03-13 09:22:02	ga_ls8c_ard_3-0-0_090089_2017-03-12_final
2017-04-23 09:15:29	ga_ls8c_ard_3-0-0_089089_2017-04-22_final
2017-04-28 09:33:33	ga_ls8c_ard_3-0-0_092088_2017-04-28_final
2017-04-28 09:33:57	ga_ls8c_ard_3-0-0_092089_2017-04-28_final
2017-04-30 09:21:11	ga_ls8c_ard_3-0-0_090088_2017-04-29_final
2017-04-30 09:21:35	ga_ls8c_ard_3-0-0_090089_2017-04-29_final
2017-05-14 09:34:04	ga_ls8c_ard_3-0-0_092089_2017-05-14_final
2017-05-16 09:21:20	ga_ls8c_ard_3-0-0_090088_2017-05-15_final
2017-05-16 09:21:44	ga_ls8c_ard_3-0-0_090089_2017-05-15_final
2017-05-25 09:15:15	ga_ls8c_ard_3-0-0_089088_2017-05-24_final
2017-05-25 09:15:39	ga_ls8c_ard_3-0-0_089089_2017-05-24_final
2017-06-10 09:15:23	ga_ls8c_ard_3-0-0_089088_2017-06-09_final
2017-06-10 09:15:47	ga_ls8c_ard_3-0-0_089089_2017-06-09_final
2018-03-23 09:27:59	ga_ls8c_ard_3-1-0_091089_2018-03-22_final
2018-04-26 09:15:19	ga_ls8c_ard_3-0-0_089089_2018-04-25_final
2018-05-03 09:21:26	ga_ls8c_ard_3-0-0_090089_2018-05-02_final
2018-05-19 09:21:15	ga_ls8c_ard_3-0-0_090089_2018-05-18_final
2018-05-26 09:27:20	ga_ls8c_ard_3-0-0_091089_2018-05-25_final
2018-06-02 09:33:26	ga_ls8c_ard_3-0-0_092089_2018-06-02_final
2018-06-04 09:20:40	ga_ls8c_ard_3-0-0_090088_2018-06-03_final
2018-06-04 09:21:04	ga_ls8c_ard_3-0-0_090089_2018-06-03_final
2018-06-11 09:26:55	ga_ls8c_ard_3-0-0_091088_2018-06-10_final
2018-06-11 09:27:19	ga_ls8c_ard_3-0-0_091089_2018-06-10_final
2018-06-18 09:33:10	ga_ls8c_ard_3-0-0_092088_2018-06-18_final
2018-06-18 09:33:34	ga_ls8c_ard_3-0-0_092089_2018-06-18_final
2018-06-20 09:20:50	ga_ls8c_ard_3-0-0_090088_2018-06-19_final
2018-06-20 09:21:14	ga_ls8c_ard_3-0-0_090089_2018-06-19_final
2018-07-04 09:33:20	ga_ls8c_ard_3-0-0_092088_2018-07-04_final
2018-07-04 09:33:44	ga_ls8c_ard_3-0-0_092089_2018-07-04_final
2018-07-06 09:20:59	ga_ls8c_ard_3-0-0_090088_2018-07-05_final
2018-07-06 09:21:23	ga_ls8c_ard_3-0-0_090089_2018-07-05_final
2018-07-09 09:51:55	ga_ls8c_ard_3-0-0_095088_2018-07-09_final
2018-07-11 09:39:34	ga_ls8c_ard_3-0-0_093088_2018-07-11_final
2018-07-13 09:27:37	ga_ls8c_ard_3-0-0_091089_2018-07-12_final
2018-07-20 09:33:51	ga_ls8c_ard_3-0-0_092089_2018-07-20_final
2018-07-22 09:21:06	ga_ls8c_ard_3-0-0_090088_2018-07-21_final
2018-07-22 09:21:30	ga_ls8c_ard_3-0-0_090089_2018-07-21_final
2018-08-05 09:33:35	ga_ls8c_ard_3-0-0_092088_2018-08-05_final
2018-08-05 09:33:59	ga_ls8c_ard_3-0-0_092089_2018-08-05_final
2018-08-07 09:21:15	ga_ls8c_ard_3-0-0_090088_2018-08-06_final
2018-08-07 09:21:39	ga_ls8c_ard_3-0-0_090089_2018-08-06_final
2018-08-10 09:52:10	ga_ls8c_ard_3-0-0_095088_2018-08-10_final
2018-08-12 09:39:50	ga_ls8c_ard_3-0-0_093088_2018-08-12_final
2018-08-14 09:27:29	ga_ls8c_ard_3-0-0_091088_2018-08-13_final
2018-08-14 09:27:53	ga_ls8c_ard_3-0-0_091089_2018-08-13_final
2018-08-21 09:34:08	ga_ls8c_ard_3-0-0_092089_2018-08-21_final
2018-08-23 09:21:23	ga_ls8c_ard_3-0-0_090088_2018-08-22_final
2018-08-23 09:21:47	ga_ls8c_ard_3-0-0_090089_2018-08-22_final
2018-08-30 09:28:01	ga_ls8c_ard_3-0-0_091089_2018-08-29_final
2018-09-06 09:33:50	ga_ls8c_ard_3-0-0_092088_2018-09-06_final
2018-09-06 09:34:14	ga_ls8c_ard_3-0-0_092089_2018-09-06_final
2018-09-08 09:21:29	ga_ls8c_ard_3-0-0_090088_2018-09-07_final
2018-09-08 09:21:53	ga_ls8c_ard_3-0-0_090089_2018-09-07_final
2018-09-20 09:46:15	ga_ls8c_ard_3-0-0_094088_2018-09-20_final
2018-10-19 09:15:34	ga_ls8c_ard_3-0-0_089088_2018-10-18_final
2018-10-19 09:15:58	ga_ls8c_ard_3-0-0_089089_2018-10-18_final
2018-10-24 09:34:32	ga_ls8c_ard_3-0-0_092089_2018-10-24_final
2018-10-26 09:22:11	ga_ls8c_ard_3-0-0_090089_2018-10-25_final
2018-11-04 09:15:38	ga_ls8c_ard_3-0-0_089088_2018-11-03_final
2018-11-04 09:16:02	ga_ls8c_ard_3-0-0_089089_2018-11-03_final
2018-12-06 09:15:36	ga_ls8c_ard_3-0-0_089088_2018-12-05_final
2018-12-06 09:16:00	ga_ls8c_ard_3-0-0_089089_2018-12-05_final
2018-12-16 09:52:39	ga_ls8c_ard_3-0-0_095088_2018-12-16_final
2018-12-18 09:40:18	ga_ls8c_ard_3-0-0_093088_2018-12-18_final
2019-06-16 09:15:32	ga_ls8c_ard_3-1-0_089088_2019-06-15_final
2019-06-16 09:15:56	ga_ls8c_ard_3-1-0_089089_2019-06-15_final
2019-06-23 09:21:45	ga_ls8c_ard_3-1-0_090088_2019-06-22_final
2019-06-23 09:22:09	ga_ls8c_ard_3-1-0_090089_2019-06-22_final
2019-07-09 09:21:49	ga_ls8c_ard_3-1-0_090088_2019-07-08_final
2019-07-09 09:22:13	ga_ls8c_ard_3-1-0_090089_2019-07-08_final
2019-08-10 09:22:00	ga_ls8c_ard_3-1-0_090088_2019-08-09_final
2019-08-10 09:22:24	ga_ls8c_ard_3-1-0_090089_2019-08-09_final
2019-10-13 09:22:17	ga_ls8c_ard_3-1-0_090088_2019-10-12_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