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
2014-09-18 09:40:09	ga_ls8c_ard_3-0-0_093087_2014-09-18_final
2014-09-18 09:40:33	ga_ls8c_ard_3-0-0_093088_2014-09-18_final
2014-10-02 09:52:33	ga_ls8c_ard_3-0-0_095087_2014-10-02_final
2014-10-04 09:40:13	ga_ls8c_ard_3-0-0_093087_2014-10-04_final
2014-10-04 09:40:37	ga_ls8c_ard_3-0-0_093088_2014-10-04_final
2014-11-03 09:52:35	ga_ls8c_ard_3-0-0_095087_2014-11-03_final
2014-11-05 09:40:15	ga_ls8c_ard_3-0-0_093087_2014-11-05_final
2014-11-05 09:40:39	ga_ls8c_ard_3-0-0_093088_2014-11-05_final
2014-11-19 09:52:34	ga_ls8c_ard_3-0-0_095087_2014-11-19_final
2017-07-29 09:58:31	ga_ls8c_ard_3-0-0_096087_2017-07-29_final
2017-07-31 09:46:34	ga_ls8c_ard_3-0-0_094088_2017-07-31_final
2017-10-19 09:46:30	ga_ls8c_ard_3-0-0_094087_2017-10-19_final
2017-10-19 09:46:54	ga_ls8c_ard_3-0-0_094088_2017-10-19_final
2019-01-23 09:15:31	ga_ls8c_ard_3-0-0_089088_2019-01-22_final
2019-01-26 09:46:24	ga_ls8c_ard_3-0-0_094088_2019-01-26_final
2019-01-28 09:33:38	ga_ls8c_ard_3-0-0_092087_2019-01-28_final
2019-01-28 09:34:02	ga_ls8c_ard_3-0-0_092088_2019-01-28_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
2019-02-15 09:21:38	ga_ls8c_ard_3-0-0_090088_2019-02-14_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
2019-03-19 09:21:04	ga_ls8c_ard_3-1-0_090087_2019-03-18_final
2019-03-19 09:21:28	ga_ls8c_ard_3-1-0_090088_2019-03-18_final
2019-04-04 09:21:25	ga_ls8c_ard_3-1-0_090088_2019-04-03_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
2019-05-06 09:20:57	ga_ls8c_ard_3-0-0_090087_2019-05-05_final
2019-05-06 09:21:21	ga_ls8c_ard_3-0-0_090088_2019-05-05_final
2019-05-22 09:21:08	ga_ls8c_ard_3-0-0_090087_2019-05-21_final
2019-05-22 09:21:32	ga_ls8c_ard_3-0-0_090088_2019-05-21_final
2020-03-01 09:46:34	ga_ls8c_ard_3-1-0_094088_2020-03-01_final
2020-03-03 09:34:12	ga_ls8c_ard_3-1-0_092088_2020-03-03_final
2020-03-08 09:52:42	ga_ls8c_ard_3-1-0_095088_2020-03-08_final
2020-03-10 09:40:20	ga_ls8c_ard_3-1-0_093088_2020-03-10_final
2020-03-14 09:15:35	ga_ls8c_ard_3-1-0_089088_2020-03-13_final
2020-03-24 09:52:34	ga_ls8c_ard_3-1-0_095088_2020-03-24_final
2020-03-26 09:40:11	ga_ls8c_ard_3-1-0_093088_2020-03-26_final
2020-04-02 09:46:18	ga_ls8c_ard_3-1-0_094088_2020-04-02_final
2020-04-04 09:33:55	ga_ls8c_ard_3-1-0_092088_2020-04-04_final
2020-04-09 09:52:26	ga_ls8c_ard_3-1-0_095088_2020-04-09_final
2020-04-11 09:40:03	ga_ls8c_ard_3-1-0_093088_2020-04-11_final
2020-04-13 09:27:41	ga_ls8c_ard_3-1-0_091088_2020-04-12_final
2020-04-15 09:15:18	ga_ls8c_ard_3-1-0_089088_2020-04-14_final
2020-04-25 09:52:19	ga_ls8c_ard_3-1-0_095088_2020-04-25_final
2020-04-27 09:39:56	ga_ls8c_ard_3-1-0_093088_2020-04-27_final
2020-05-04 09:46:03	ga_ls8c_ard_3-1-0_094088_2020-05-04_final
2020-05-06 09:33:40	ga_ls8c_ard_3-1-0_092088_2020-05-06_final
2020-05-08 09:21:17	ga_ls8c_ard_3-1-0_090088_2020-05-07_final
2020-05-11 09:51:47	ga_ls8c_ard_3-1-0_095087_2020-05-11_final
2020-05-11 09:52:11	ga_ls8c_ard_3-1-0_095088_2020-05-11_final
2020-05-13 09:39:26	ga_ls8c_ard_3-1-0_093087_2020-05-13_final
2020-05-13 09:39:50	ga_ls8c_ard_3-1-0_093088_2020-05-13_final
2020-05-18 09:58:00	ga_ls8c_ard_3-1-0_096087_2020-05-18_final
2020-05-20 09:45:39	ga_ls8c_ard_3-1-0_094087_2020-05-20_final
2020-05-20 09:46:03	ga_ls8c_ard_3-1-0_094088_2020-05-20_final
2020-05-22 09:33:41	ga_ls8c_ard_3-1-0_092088_2020-05-22_final
2020-05-24 09:20:56	ga_ls8c_ard_3-1-0_090087_2020-05-23_final
2020-05-24 09:21:20	ga_ls8c_ard_3-1-0_090088_2020-05-23_final
2020-05-27 09:51:51	ga_ls8c_ard_3-1-0_095087_2020-05-27_final
2020-05-27 09:52:15	ga_ls8c_ard_3-1-0_095088_2020-05-27_final
2020-05-29 09:39:29	ga_ls8c_ard_3-1-0_093087_2020-05-29_final
2020-05-29 09:39:53	ga_ls8c_ard_3-1-0_093088_2020-05-29_final
2020-06-12 09:52:00	ga_ls8c_ard_3-1-0_095087_2020-06-12_final
2020-06-12 09:52:24	ga_ls8c_ard_3-1-0_095088_2020-06-12_final
2020-06-14 09:39:40	ga_ls8c_ard_3-1-0_093087_2020-06-14_final
2020-06-14 09:40:04	ga_ls8c_ard_3-1-0_093088_2020-06-14_final
2020-06-19 09:58:15	ga_ls8c_ard_3-1-0_096087_2020-06-19_final
2020-06-25 09:21:37	ga_ls8c_ard_3-1-0_090088_2020-06-24_final
2020-07-04 09:15:07	ga_ls8c_ard_3-1-0_089087_2020-07-03_final
2020-07-04 09:15:31	ga_ls8c_ard_3-1-0_089088_2020-07-03_final
2020-08-03 09:27:37	ga_ls8c_ard_3-1-0_091087_2020-08-02_final
2020-08-03 09:28:01	ga_ls8c_ard_3-1-0_091088_2020-08-02_final
2020-08-06 09:58:32	ga_ls8c_ard_3-1-0_096087_2020-08-06_final
2020-08-12 09:21:28	ga_ls8c_ard_3-1-0_090087_2020-08-11_final
2020-08-12 09:21:52	ga_ls8c_ard_3-1-0_090088_2020-08-11_final
2020-08-15 09:52:24	ga_ls8c_ard_3-1-0_095087_2020-08-15_final
2020-08-15 09:52:48	ga_ls8c_ard_3-1-0_095088_2020-08-15_final
2020-08-17 09:40:03	ga_ls8c_ard_3-1-0_093087_2020-08-17_final
2020-08-17 09:40:27	ga_ls8c_ard_3-1-0_093088_2020-08-17_final
2020-08-19 09:27:43	ga_ls8c_ard_3-1-0_091087_2020-08-18_final
2020-08-19 09:28:07	ga_ls8c_ard_3-1-0_091088_2020-08-18_final
2020-08-21 09:15:22	ga_ls8c_ard_3-1-0_089087_2020-08-20_final
2020-08-21 09:15:46	ga_ls8c_ard_3-1-0_089088_2020-08-20_final
2020-08-24 09:46:18	ga_ls8c_ard_3-1-0_094087_2020-08-24_final
2020-08-24 09:46:42	ga_ls8c_ard_3-1-0_094088_2020-08-24_final
2020-08-26 09:33:57	ga_ls8c_ard_3-1-0_092087_2020-08-26_final
2020-08-26 09:34:21	ga_ls8c_ard_3-1-0_092088_2020-08-26_final
2020-08-28 09:21:37	ga_ls8c_ard_3-1-0_090087_2020-08-27_final
2020-08-28 09:22:01	ga_ls8c_ard_3-1-0_090088_2020-08-27_final
2020-08-31 09:52:32	ga_ls8c_ard_3-1-0_095087_2020-08-31_final
2020-08-31 09:52:56	ga_ls8c_ard_3-1-0_095088_2020-08-31_final
2020-09-06 09:15:30	ga_ls8c_ard_3-1-0_089087_2020-09-05_final
2020-09-06 09:15:54	ga_ls8c_ard_3-1-0_089088_2020-09-05_final
2020-09-07 09:58:46	ga_ls8c_ard_3-1-0_096087_2020-09-07_final
2020-09-11 09:34:04	ga_ls8c_ard_3-1-0_092087_2020-09-11_final
2020-09-18 09:40:17	ga_ls8c_ard_3-1-0_093087_2020-09-18_final
2020-09-18 09:40:41	ga_ls8c_ard_3-1-0_093088_2020-09-18_final
2020-09-20 09:27:56	ga_ls8c_ard_3-1-0_091087_2020-09-19_final
2020-09-20 09:28:20	ga_ls8c_ard_3-1-0_091088_2020-09-19_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