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
2015-01-08 09:40:29	ga_ls8c_ard_3-0-0_093088_2015-01-08_final
2015-01-10 09:28:31	ga_ls8c_ard_3-0-0_091089_2015-01-09_final
2015-01-12 09:16:09	ga_ls8c_ard_3-0-0_089089_2015-01-11_final
2015-01-17 09:34:40	ga_ls8c_ard_3-0-0_092089_2015-01-17_final
2015-01-19 09:22:17	ga_ls8c_ard_3-0-0_090089_2015-01-18_final
2015-01-26 09:28:25	ga_ls8c_ard_3-0-0_091089_2015-01-25_final
2015-01-28 09:16:04	ga_ls8c_ard_3-0-0_089089_2015-01-27_final
2015-02-04 09:22:13	ga_ls8c_ard_3-0-0_090089_2015-02-03_final
2015-02-13 09:15:55	ga_ls8c_ard_3-0-0_089089_2015-02-12_final
2015-02-18 09:34:28	ga_ls8c_ard_3-0-0_092089_2015-02-18_final
2015-03-01 09:15:53	ga_ls8c_ard_3-0-0_089089_2015-02-28_final
2015-03-15 09:28:04	ga_ls8c_ard_3-0-0_091089_2015-03-14_final
2015-03-17 09:15:42	ga_ls8c_ard_3-0-0_089089_2015-03-16_final
2015-03-31 09:27:54	ga_ls8c_ard_3-0-0_091089_2015-03-30_final
2015-04-02 09:15:30	ga_ls8c_ard_3-0-0_089089_2015-04-01_final
2015-04-07 09:34:01	ga_ls8c_ard_3-0-0_092089_2015-04-07_final
2015-04-09 09:21:40	ga_ls8c_ard_3-0-0_090089_2015-04-08_final
2015-04-16 09:27:51	ga_ls8c_ard_3-0-0_091089_2015-04-15_final
2015-04-25 09:21:37	ga_ls8c_ard_3-0-0_090089_2015-04-24_final
2015-05-02 09:27:41	ga_ls8c_ard_3-0-0_091089_2015-05-01_final
2015-05-04 09:15:17	ga_ls8c_ard_3-0-0_089089_2015-05-03_final
2015-05-16 09:39:26	ga_ls8c_ard_3-0-0_093088_2015-05-16_final
2015-05-18 09:27:30	ga_ls8c_ard_3-0-0_091089_2015-05-17_final
2015-05-20 09:14:45	ga_ls8c_ard_3-0-0_089088_2015-05-19_final
2015-05-20 09:15:09	ga_ls8c_ard_3-0-0_089089_2015-05-19_final
2015-05-27 09:20:57	ga_ls8c_ard_3-0-0_090088_2015-05-26_final
2015-05-27 09:21:21	ga_ls8c_ard_3-0-0_090089_2015-05-26_final
2015-05-30 09:51:52	ga_ls8c_ard_3-0-0_095088_2015-05-30_final
2015-06-15 09:52:04	ga_ls8c_ard_3-0-0_095088_2015-06-15_final
2015-06-21 09:15:01	ga_ls8c_ard_3-0-0_089088_2015-06-20_final
2015-06-21 09:15:25	ga_ls8c_ard_3-0-0_089089_2015-06-20_final
2015-12-19 09:34:47	ga_ls8c_ard_3-0-0_092089_2015-12-19_final
2015-12-21 09:22:26	ga_ls8c_ard_3-0-0_090089_2015-12-20_final
2015-12-28 09:28:36	ga_ls8c_ard_3-0-0_091089_2015-12-27_final
2015-12-30 09:16:13	ga_ls8c_ard_3-0-0_089089_2015-12-29_final
2016-02-05 09:34:41	ga_ls8c_ard_3-0-0_092089_2016-02-05_final
2016-02-07 09:22:18	ga_ls8c_ard_3-0-0_090089_2016-02-06_final
2016-02-14 09:28:25	ga_ls8c_ard_3-0-0_091089_2016-02-13_final
2016-02-16 09:16:02	ga_ls8c_ard_3-0-0_089089_2016-02-15_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
2016-03-24 09:34:24	ga_ls8c_ard_3-0-0_092089_2016-03-24_final
2016-03-26 09:22:01	ga_ls8c_ard_3-0-0_090089_2016-03-25_final
2016-04-02 09:28:07	ga_ls8c_ard_3-0-0_091089_2016-04-01_final
2016-04-04 09:15:45	ga_ls8c_ard_3-0-0_089089_2016-04-03_final
2016-04-11 09:21:54	ga_ls8c_ard_3-0-0_090089_2016-04-10_final
2016-04-27 09:21:50	ga_ls8c_ard_3-0-0_090089_2016-04-26_final
2016-05-09 09:46:11	ga_ls8c_ard_3-0-0_094088_2016-05-09_final
2017-04-12 09:34:08	ga_ls8c_ard_3-0-0_092089_2017-04-12_final
2017-04-14 09:21:45	ga_ls8c_ard_3-0-0_090089_2017-04-13_final
2017-04-21 09:27:52	ga_ls8c_ard_3-0-0_091089_2017-04-20_final
2017-06-06 09:40:04	ga_ls8c_ard_3-0-0_093088_2017-06-06_final
2017-06-08 09:28:08	ga_ls8c_ard_3-0-0_091089_2017-06-07_final
2017-07-26 09:28:23	ga_ls8c_ard_3-0-0_091089_2017-07-25_final
2017-09-01 09:46:43	ga_ls8c_ard_3-0-0_094088_2017-09-01_final
2017-09-14 09:16:13	ga_ls8c_ard_3-0-0_089089_2017-09-13_final
2017-09-19 09:34:48	ga_ls8c_ard_3-0-0_092089_2017-09-19_final
2017-09-21 09:22:27	ga_ls8c_ard_3-0-0_090089_2017-09-20_final
2017-09-24 09:52:58	ga_ls8c_ard_3-0-0_095088_2017-09-24_final
2017-09-28 09:28:41	ga_ls8c_ard_3-0-0_091089_2017-09-27_final
2017-09-30 09:15:56	ga_ls8c_ard_3-0-0_089088_2017-09-29_final
2017-09-30 09:16:20	ga_ls8c_ard_3-0-0_089089_2017-09-29_final
2017-10-03 09:46:51	ga_ls8c_ard_3-0-0_094088_2017-10-03_final
2017-10-05 09:34:54	ga_ls8c_ard_3-0-0_092089_2017-10-05_final
2017-10-07 09:22:33	ga_ls8c_ard_3-0-0_090089_2017-10-06_final
2017-10-14 09:28:45	ga_ls8c_ard_3-0-0_091089_2017-10-13_final
2017-10-16 09:16:24	ga_ls8c_ard_3-0-0_089089_2017-10-15_final
2017-10-19 09:46:54	ga_ls8c_ard_3-0-0_094088_2017-10-19_final
2017-10-21 09:34:57	ga_ls8c_ard_3-0-0_092089_2017-10-21_final
2017-10-28 09:40:44	ga_ls8c_ard_3-0-0_093088_2017-10-28_final
2017-10-30 09:28:46	ga_ls8c_ard_3-0-0_091089_2017-10-29_final
2017-11-06 09:34:32	ga_ls8c_ard_3-0-0_092088_2017-11-06_final
2017-11-06 09:34:56	ga_ls8c_ard_3-0-0_092089_2017-11-06_final
2017-11-08 09:22:10	ga_ls8c_ard_3-0-0_090088_2017-11-07_final
2017-11-08 09:22:34	ga_ls8c_ard_3-0-0_090089_2017-11-07_final
2017-11-22 09:34:51	ga_ls8c_ard_3-0-0_092089_2017-11-22_final
2017-11-24 09:22:29	ga_ls8c_ard_3-0-0_090089_2017-11-23_final
2017-12-08 09:34:48	ga_ls8c_ard_3-0-0_092089_2017-12-08_final
2017-12-24 09:34:50	ga_ls8c_ard_3-0-0_092089_2017-12-24_final
2017-12-26 09:22:28	ga_ls8c_ard_3-0-0_090089_2017-12-25_final
2018-01-02 09:28:37	ga_ls8c_ard_3-0-0_091089_2018-01-01_final
2018-01-09 09:34:45	ga_ls8c_ard_3-0-0_092089_2018-01-09_final
2018-01-23 09:46:35	ga_ls8c_ard_3-0-0_094088_2018-01-23_final
2018-02-01 09:40:19	ga_ls8c_ard_3-0-0_093088_2018-02-01_final
2018-02-03 09:28:20	ga_ls8c_ard_3-0-0_091089_2018-02-02_final
2018-02-10 09:34:29	ga_ls8c_ard_3-0-0_092089_2018-02-10_final
2018-02-28 09:22:00	ga_ls8c_ard_3-0-0_090089_2018-02-27_final
2018-05-19 09:21:15	ga_ls8c_ard_3-0-0_090089_2018-05-18_final
2019-02-02 09:52:33	ga_ls8c_ard_3-0-0_095088_2019-02-02_final
2019-02-24 09:15:49	ga_ls8c_ard_3-0-0_089089_2019-02-23_final
2019-03-28 09:15:40	ga_ls8c_ard_3-1-0_089089_2019-03-27_final
2019-04-13 09:15:35	ga_ls8c_ard_3-1-0_089089_2019-04-12_final
2019-05-09 09:52:18	ga_ls8c_ard_3-0-0_095088_2019-05-09_final
2019-05-15 09:15:17	ga_ls8c_ard_3-0-0_089088_2019-05-14_final
2019-05-15 09:15:41	ga_ls8c_ard_3-0-0_089089_2019-05-14_final
2019-05-31 09:15:26	ga_ls8c_ard_3-0-0_089088_2019-05-30_final
2019-05-31 09:15:50	ga_ls8c_ard_3-0-0_089089_2019-05-30_final
2019-07-02 09:15:37	ga_ls8c_ard_3-1-0_089088_2019-07-01_final
2019-07-02 09:16:01	ga_ls8c_ard_3-1-0_089089_2019-07-01_final
2019-08-15 09:40:34	ga_ls8c_ard_3-1-0_093088_2019-08-15_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