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 09:28:07	ga_ls8c_ard_3-0-0_091088_2015-01-09_final
2015-01-17 09:34:16	ga_ls8c_ard_3-0-0_092088_2015-01-17_final
2015-01-19 09:21:53	ga_ls8c_ard_3-0-0_090088_2015-01-18_final
2015-02-02 09:34:12	ga_ls8c_ard_3-0-0_092088_2015-02-02_final
2015-02-25 09:40:14	ga_ls8c_ard_3-0-0_093088_2015-02-25_final
2015-02-27 09:27:51	ga_ls8c_ard_3-0-0_091088_2015-02-26_final
2015-03-01 09:15:29	ga_ls8c_ard_3-0-0_089088_2015-02-28_final
2015-03-11 09:52:25	ga_ls8c_ard_3-0-0_095088_2015-03-11_final
2015-03-13 09:40:02	ga_ls8c_ard_3-0-0_093088_2015-03-13_final
2015-03-15 09:27:40	ga_ls8c_ard_3-0-0_091088_2015-03-14_final
2015-03-20 09:46:11	ga_ls8c_ard_3-0-0_094088_2015-03-20_final
2015-03-22 09:33:48	ga_ls8c_ard_3-0-0_092088_2015-03-22_final
2015-03-24 09:21:25	ga_ls8c_ard_3-0-0_090088_2015-03-23_final
2015-04-05 09:45:59	ga_ls8c_ard_3-0-0_094088_2015-04-05_final
2015-04-07 09:33:37	ga_ls8c_ard_3-0-0_092088_2015-04-07_final
2015-04-09 09:21:16	ga_ls8c_ard_3-0-0_090088_2015-04-08_final
2015-04-12 09:52:10	ga_ls8c_ard_3-0-0_095088_2015-04-12_final
2015-04-21 09:45:58	ga_ls8c_ard_3-0-0_094088_2015-04-21_final
2015-04-23 09:33:36	ga_ls8c_ard_3-0-0_092088_2015-04-23_final
2015-04-28 09:52:04	ga_ls8c_ard_3-0-0_095088_2015-04-28_final
2015-05-04 09:14:53	ga_ls8c_ard_3-0-0_089088_2015-05-03_final
2015-05-07 09:45:43	ga_ls8c_ard_3-0-0_094088_2015-05-07_final
2015-05-25 09:33:19	ga_ls8c_ard_3-0-0_092088_2015-05-25_final
2015-06-05 09:14:53	ga_ls8c_ard_3-0-0_089088_2015-06-04_final
2015-06-06 09:57:46	ga_ls8c_ard_3-0-0_096087_2015-06-06_final
2015-06-21 09:15:01	ga_ls8c_ard_3-0-0_089088_2015-06-20_final
2015-06-22 09:57:53	ga_ls8c_ard_3-0-0_096087_2015-06-22_final
2015-12-01 09:46:45	ga_ls8c_ard_3-0-0_094088_2015-12-01_final
2015-12-08 09:52:55	ga_ls8c_ard_3-0-0_095088_2015-12-08_final
2015-12-14 09:15:50	ga_ls8c_ard_3-0-0_089088_2015-12-13_final
2015-12-17 09:46:45	ga_ls8c_ard_3-0-0_094088_2015-12-17_final
2015-12-19 09:34:23	ga_ls8c_ard_3-0-0_092088_2015-12-19_final
2015-12-24 09:52:56	ga_ls8c_ard_3-0-0_095088_2015-12-24_final
2015-12-26 09:40:34	ga_ls8c_ard_3-0-0_093088_2015-12-26_final
2016-01-06 09:21:58	ga_ls8c_ard_3-0-0_090088_2016-01-05_final
2016-01-09 09:52:51	ga_ls8c_ard_3-0-0_095088_2016-01-09_final
2016-01-15 09:15:47	ga_ls8c_ard_3-0-0_089088_2016-01-14_final
2016-01-18 09:46:42	ga_ls8c_ard_3-0-0_094088_2016-01-18_final
2016-01-25 09:52:52	ga_ls8c_ard_3-0-0_095088_2016-01-25_final
2016-01-31 09:15:46	ga_ls8c_ard_3-0-0_089088_2016-01-30_final
2016-02-21 09:34:08	ga_ls8c_ard_3-0-0_092088_2016-02-21_final
2016-02-23 09:21:47	ga_ls8c_ard_3-0-0_090088_2016-02-22_final
2016-02-26 09:52:41	ga_ls8c_ard_3-0-0_095088_2016-02-26_final
2016-03-03 09:15:36	ga_ls8c_ard_3-0-0_089088_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
2016-03-10 09:21:45	ga_ls8c_ard_3-0-0_090088_2016-03-09_final
2016-03-13 09:52:38	ga_ls8c_ard_3-0-0_095088_2016-03-13_final
2016-03-19 09:15:30	ga_ls8c_ard_3-0-0_089088_2016-03-18_final
2016-03-22 09:46:23	ga_ls8c_ard_3-0-0_094088_2016-03-22_final
2016-03-24 09:34:00	ga_ls8c_ard_3-0-0_092088_2016-03-24_final
2016-03-26 09:21:37	ga_ls8c_ard_3-0-0_090088_2016-03-25_final
2016-03-29 09:52:28	ga_ls8c_ard_3-0-0_095088_2016-03-29_final
2016-03-31 09:40:05	ga_ls8c_ard_3-0-0_093088_2016-03-31_final
2016-04-07 09:46:14	ga_ls8c_ard_3-0-0_094088_2016-04-07_final
2016-04-09 09:33:52	ga_ls8c_ard_3-0-0_092088_2016-04-09_final
2016-04-11 09:21:30	ga_ls8c_ard_3-0-0_090088_2016-04-10_final
2016-04-14 09:52:23	ga_ls8c_ard_3-0-0_095088_2016-04-14_final
2016-04-20 09:15:15	ga_ls8c_ard_3-0-0_089088_2016-04-19_final
2016-04-27 09:21:26	ga_ls8c_ard_3-0-0_090088_2016-04-26_final
2016-04-30 09:52:23	ga_ls8c_ard_3-0-0_095088_2016-04-30_final
2016-05-06 09:14:55	ga_ls8c_ard_3-0-0_089087_2016-05-05_final
2016-05-06 09:15:19	ga_ls8c_ard_3-0-0_089088_2016-05-05_final
2016-05-09 09:46:11	ga_ls8c_ard_3-0-0_094088_2016-05-09_final
2017-04-12 09:33:44	ga_ls8c_ard_3-0-0_092088_2017-04-12_final
2017-04-14 09:21:21	ga_ls8c_ard_3-0-0_090088_2017-04-13_final
2017-04-17 09:52:14	ga_ls8c_ard_3-0-0_095088_2017-04-17_final
2017-04-19 09:39:51	ga_ls8c_ard_3-0-0_093088_2017-04-19_final
2017-04-21 09:27:28	ga_ls8c_ard_3-0-0_091088_2017-04-20_final
2017-06-06 09:40:04	ga_ls8c_ard_3-0-0_093088_2017-06-06_final
2017-06-08 09:27:44	ga_ls8c_ard_3-0-0_091088_2017-06-07_final
2017-07-22 09:52:16	ga_ls8c_ard_3-0-0_095087_2017-07-22_final
2017-07-22 09:52:40	ga_ls8c_ard_3-0-0_095088_2017-07-22_final
2017-07-24 09:40:20	ga_ls8c_ard_3-0-0_093088_2017-07-24_final
2017-07-26 09:27:59	ga_ls8c_ard_3-0-0_091088_2017-07-25_final
2018-02-24 09:46:21	ga_ls8c_ard_3-0-0_094088_2018-02-24_final
2018-02-26 09:33:59	ga_ls8c_ard_3-0-0_092088_2018-02-26_final
2018-07-02 09:45:40	ga_ls8c_ard_3-0-0_094088_2018-07-02_final
2020-06-05 09:46:09	ga_ls8c_ard_3-1-0_094088_2020-06-05_final
2020-06-14 09:40:04	ga_ls8c_ard_3-1-0_093088_2020-06-14_final
2020-06-16 09:27:43	ga_ls8c_ard_3-1-0_091088_2020-06-15_final
2020-06-18 09:14:59	ga_ls8c_ard_3-1-0_089087_2020-06-17_final
2020-06-18 09:15:23	ga_ls8c_ard_3-1-0_089088_2020-06-17_final
2020-06-21 09:46:18	ga_ls8c_ard_3-1-0_094088_2020-06-21_final
2020-06-23 09:33:58	ga_ls8c_ard_3-1-0_092088_2020-06-23_final
2020-06-30 09:40:12	ga_ls8c_ard_3-1-0_093088_2020-06-30_final
2020-07-02 09:27:51	ga_ls8c_ard_3-1-0_091088_2020-07-01_final
2020-07-16 09:40:18	ga_ls8c_ard_3-1-0_093088_2020-07-16_final
2020-07-18 09:27:33	ga_ls8c_ard_3-1-0_091087_2020-07-17_final
2020-07-18 09:27:57	ga_ls8c_ard_3-1-0_091088_2020-07-17_final
2020-07-27 09:21:49	ga_ls8c_ard_3-1-0_090088_2020-07-26_final
2020-08-05 09:15:16	ga_ls8c_ard_3-1-0_089087_2020-08-04_final
2020-08-05 09:15:40	ga_ls8c_ard_3-1-0_089088_2020-08-04_final
2020-08-08 09:46:35	ga_ls8c_ard_3-1-0_094088_2020-08-08_final
2020-08-15 09:52:48	ga_ls8c_ard_3-1-0_095088_2020-08-15_final
2020-08-17 09:40:27	ga_ls8c_ard_3-1-0_093088_2020-08-17_final
2020-08-31 09:52:56	ga_ls8c_ard_3-1-0_095088_2020-08-31_final
2020-09-02 09:40:35	ga_ls8c_ard_3-1-0_093088_2020-09-02_final
2020-09-04 09:27:51	ga_ls8c_ard_3-1-0_091087_2020-09-03_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