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
2016-01-15 09:16:11	ga_ls8c_ard_3-0-0_089089_2016-01-14_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
2016-03-10 09:22:09	ga_ls8c_ard_3-0-0_090089_2016-03-09_final
2016-03-26 09:22:01	ga_ls8c_ard_3-0-0_090089_2016-03-25_final
2017-01-04 09:46:49	ga_ls8c_ard_3-0-0_094088_2017-01-04_final
2017-01-06 09:34:51	ga_ls8c_ard_3-0-0_092089_2017-01-06_final
2017-01-20 09:46:44	ga_ls8c_ard_3-0-0_094088_2017-01-20_final
2017-01-22 09:34:46	ga_ls8c_ard_3-0-0_092089_2017-01-22_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
2017-03-06 09:15:55	ga_ls8c_ard_3-0-0_089089_2017-03-05_final
2017-03-20 09:28:08	ga_ls8c_ard_3-0-0_091089_2017-03-19_final
2017-03-22 09:15:45	ga_ls8c_ard_3-0-0_089089_2017-03-21_final
2017-04-07 09:15:14	ga_ls8c_ard_3-0-0_089088_2017-04-06_final
2017-04-07 09:15:38	ga_ls8c_ard_3-0-0_089089_2017-04-06_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
2017-04-23 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
2017-05-07 09:27:48	ga_ls8c_ard_3-0-0_091089_2017-05-06_final
2017-05-09 09:15:04	ga_ls8c_ard_3-0-0_089088_2017-05-08_final
2017-05-09 09:15:28	ga_ls8c_ard_3-0-0_089089_2017-05-08_final
2017-05-12 09:46:00	ga_ls8c_ard_3-0-0_094088_2017-05-12_final
2017-05-23 09:27:59	ga_ls8c_ard_3-0-0_091089_2017-05-22_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
2017-05-28 09:46:11	ga_ls8c_ard_3-0-0_094088_2017-05-28_final
2017-06-04 09:52:25	ga_ls8c_ard_3-0-0_095088_2017-06-04_final
2017-06-06 09:40:04	ga_ls8c_ard_3-0-0_093088_2017-06-06_final
2017-06-13 09:46:18	ga_ls8c_ard_3-0-0_094088_2017-06-13_final
2017-06-15 09:34:21	ga_ls8c_ard_3-0-0_092089_2017-06-15_final
2017-06-17 09:21:36	ga_ls8c_ard_3-0-0_090088_2017-06-16_final
2017-06-17 09:22:00	ga_ls8c_ard_3-0-0_090089_2017-06-16_final
2017-06-24 09:28:13	ga_ls8c_ard_3-0-0_091089_2017-06-23_final
2017-06-26 09:15:28	ga_ls8c_ard_3-0-0_089088_2017-06-25_final
2017-06-26 09:15:52	ga_ls8c_ard_3-0-0_089089_2017-06-25_final
2017-06-29 09:46:23	ga_ls8c_ard_3-0-0_094088_2017-06-29_final
2017-07-01 09:34:26	ga_ls8c_ard_3-0-0_092089_2017-07-01_final
2017-07-03 09:21:40	ga_ls8c_ard_3-0-0_090088_2017-07-02_final
2017-07-03 09:22:04	ga_ls8c_ard_3-0-0_090089_2017-07-02_final
2018-01-30 09:52:42	ga_ls8c_ard_3-0-0_095088_2018-01-30_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
2018-02-12 09:21:43	ga_ls8c_ard_3-0-0_090088_2018-02-11_final
2018-02-12 09:22:07	ga_ls8c_ard_3-0-0_090089_2018-02-11_final
2018-02-19 09:28:15	ga_ls8c_ard_3-0-0_091089_2018-02-18_final
2018-02-21 09:15:52	ga_ls8c_ard_3-0-0_089089_2018-02-20_final
2018-02-26 09:34:23	ga_ls8c_ard_3-0-0_092089_2018-02-26_final
2018-02-28 09:22:00	ga_ls8c_ard_3-0-0_090089_2018-02-27_final
2018-03-07 09:28:07	ga_ls8c_ard_3-1-0_091089_2018-03-06_final
2018-03-09 09:15:44	ga_ls8c_ard_3-0-0_089089_2018-03-08_final
2018-03-12 09:46:12	ga_ls8c_ard_3-0-0_094088_2018-03-12_final
2018-03-14 09:34:13	ga_ls8c_ard_3-0-0_092089_2018-03-14_final
2018-03-16 09:21:51	ga_ls8c_ard_3-0-0_090089_2018-03-15_final
2018-03-25 09:15:37	ga_ls8c_ard_3-0-0_089089_2018-03-24_final
2018-03-30 09:34:07	ga_ls8c_ard_3-0-0_092089_2018-03-30_final
2018-04-01 09:21:44	ga_ls8c_ard_3-0-0_090089_2018-03-31_final
2018-04-08 09:27:51	ga_ls8c_ard_3-0-0_091089_2018-04-07_final
2018-04-15 09:33:58	ga_ls8c_ard_3-0-0_092089_2018-04-15_final
2018-04-17 09:21:35	ga_ls8c_ard_3-0-0_090089_2018-04-16_final
2018-05-10 09:27:32	ga_ls8c_ard_3-1-0_091089_2018-05-09_final
2018-05-12 09:15:10	ga_ls8c_ard_3-0-0_089089_2018-05-11_final
2018-05-17 09:33:38	ga_ls8c_ard_3-0-0_092089_2018-05-17_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
2018-06-27 09:27:05	ga_ls8c_ard_3-0-0_091088_2018-06-26_final
2018-06-27 09:27:29	ga_ls8c_ard_3-0-0_091089_2018-06-26_final
2018-06-29 09:14:45	ga_ls8c_ard_3-0-0_089088_2018-06-28_final
2018-06-29 09:15:09	ga_ls8c_ard_3-0-0_089089_2018-06-28_final
2018-07-15 09:14:53	ga_ls8c_ard_3-0-0_089088_2018-07-14_final
2018-07-15 09:15:16	ga_ls8c_ard_3-0-0_089089_2018-07-14_final
2018-07-29 09:27:20	ga_ls8c_ard_3-0-0_091088_2018-07-28_final
2018-07-29 09:27:44	ga_ls8c_ard_3-0-0_091089_2018-07-28_final
2018-08-30 09:28:01	ga_ls8c_ard_3-0-0_091089_2018-08-29_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
2019-03-10 09:28:06	ga_ls8c_ard_3-1-0_091089_2019-03-09_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
2020-03-03 09:34:36	ga_ls8c_ard_3-1-0_092089_2020-03-03_final
2020-03-14 09:15:58	ga_ls8c_ard_3-1-0_089089_2020-03-13_final
2020-04-04 09:34:19	ga_ls8c_ard_3-1-0_092089_2020-04-04_final
2020-04-20 09:34:13	ga_ls8c_ard_3-1-0_092089_2020-04-20_final
2020-05-17 09:15:08	ga_ls8c_ard_3-1-0_089088_2020-05-16_final
2020-05-17 09:15:32	ga_ls8c_ard_3-1-0_089089_2020-05-16_final
2020-05-20 09:46:03	ga_ls8c_ard_3-1-0_094088_2020-05-20_final
2020-06-28 09:52:33	ga_ls8c_ard_3-1-0_095088_2020-06-28_final
2020-06-30 09:40:12	ga_ls8c_ard_3-1-0_093088_2020-06-30_final
2020-07-02 09:28:15	ga_ls8c_ard_3-1-0_091089_2020-07-01_final
2020-07-30 09:52:44	ga_ls8c_ard_3-1-0_095088_2020-07-30_final
2020-08-01 09:40:23	ga_ls8c_ard_3-1-0_093088_2020-08-01_final
2020-09-02 09:40:35	ga_ls8c_ard_3-1-0_093088_2020-09-02_final
2020-09-04 09:28:39	ga_ls8c_ard_3-1-0_091089_2020-09-03_final
2020-09-18 09:40:41	ga_ls8c_ard_3-1-0_093088_2020-09-18_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