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
2015-05-27 09:22:09	ga_ls8c_ard_3-0-0_090091_2015-05-26_final
2015-06-03 09:28:25	ga_ls8c_ard_3-0-0_091091_2015-06-02_final
2015-06-12 09:22:21	ga_ls8c_ard_3-0-0_090091_2015-06-11_final
2015-06-19 09:28:34	ga_ls8c_ard_3-0-0_091091_2015-06-18_final
2015-06-28 09:22:27	ga_ls8c_ard_3-0-0_090091_2015-06-27_final
2015-07-05 09:28:43	ga_ls8c_ard_3-0-0_091091_2015-07-04_final
2015-07-14 09:22:37	ga_ls8c_ard_3-0-0_090091_2015-07-13_final
2015-07-21 09:28:51	ga_ls8c_ard_3-0-0_091091_2015-07-20_final
2015-07-30 09:22:42	ga_ls8c_ard_3-0-0_090091_2015-07-29_final
2015-08-06 09:28:53	ga_ls8c_ard_3-0-0_091091_2015-08-05_final
2015-08-15 09:22:48	ga_ls8c_ard_3-0-0_090091_2015-08-14_final
2015-08-22 09:29:02	ga_ls8c_ard_3-0-0_091091_2015-08-21_final
2015-08-31 09:22:54	ga_ls8c_ard_3-0-0_090091_2015-08-30_final
2015-09-07 09:29:07	ga_ls8c_ard_3-0-0_091091_2015-09-06_final
2015-09-16 09:23:01	ga_ls8c_ard_3-0-0_090091_2015-09-15_final
2015-09-23 09:29:15	ga_ls8c_ard_3-0-0_091091_2015-09-22_final
2015-10-02 09:23:06	ga_ls8c_ard_3-0-0_090091_2015-10-01_final
2015-10-25 09:29:21	ga_ls8c_ard_3-0-0_091091_2015-10-24_final
2015-11-03 09:23:12	ga_ls8c_ard_3-0-0_090091_2015-11-02_final
2015-11-10 09:29:22	ga_ls8c_ard_3-0-0_091091_2015-11-09_final
2015-11-19 09:23:13	ga_ls8c_ard_3-0-0_090091_2015-11-18_final
2015-12-05 09:23:13	ga_ls8c_ard_3-0-0_090091_2015-12-04_final
2015-12-12 09:29:23	ga_ls8c_ard_3-0-0_091091_2015-12-11_final
2015-12-21 09:23:14	ga_ls8c_ard_3-0-0_090091_2015-12-20_final
2016-01-13 09:29:21	ga_ls8c_ard_3-0-0_091091_2016-01-12_final
2016-01-22 09:23:10	ga_ls8c_ard_3-0-0_090091_2016-01-21_final
2016-01-29 09:29:20	ga_ls8c_ard_3-0-0_091091_2016-01-28_final
2016-03-17 09:29:05	ga_ls8c_ard_3-0-0_091091_2016-03-16_final
2016-03-26 09:22:48	ga_ls8c_ard_3-0-0_090091_2016-03-25_final
2016-12-07 09:23:24	ga_ls8c_ard_3-0-0_090091_2016-12-06_final
2016-12-14 09:29:33	ga_ls8c_ard_3-0-0_091091_2016-12-13_final
2016-12-23 09:23:19	ga_ls8c_ard_3-0-0_090091_2016-12-22_final
2016-12-30 09:29:30	ga_ls8c_ard_3-0-0_091091_2016-12-29_final
2017-01-24 09:23:12	ga_ls8c_ard_3-0-0_090091_2017-01-23_final
2017-01-31 09:29:19	ga_ls8c_ard_3-0-0_091091_2017-01-30_final
2017-02-09 09:23:03	ga_ls8c_ard_3-0-0_090091_2017-02-08_final
2017-02-16 09:29:12	ga_ls8c_ard_3-0-0_091091_2017-02-15_final
2017-02-25 09:22:58	ga_ls8c_ard_3-0-0_090091_2017-02-24_final
2017-03-29 09:22:41	ga_ls8c_ard_3-0-0_090091_2017-03-28_final
2017-05-07 09:28:36	ga_ls8c_ard_3-0-0_091091_2017-05-06_final
2017-05-16 09:22:32	ga_ls8c_ard_3-0-0_090091_2017-05-15_final
2017-05-23 09:28:47	ga_ls8c_ard_3-0-0_091091_2017-05-22_final
2017-06-01 09:22:41	ga_ls8c_ard_3-0-0_090091_2017-05-31_final
2017-06-08 09:28:55	ga_ls8c_ard_3-0-0_091091_2017-06-07_final
2017-06-17 09:22:48	ga_ls8c_ard_3-0-0_090091_2017-06-16_final
2017-06-24 09:29:01	ga_ls8c_ard_3-0-0_091091_2017-06-23_final
2017-07-03 09:22:52	ga_ls8c_ard_3-0-0_090091_2017-07-02_final
2017-07-10 09:29:04	ga_ls8c_ard_3-0-0_091091_2017-07-09_final
2018-02-12 09:22:55	ga_ls8c_ard_3-0-0_090091_2018-02-11_final
2018-09-15 09:28:53	ga_ls8c_ard_3-0-0_091091_2018-09-14_final
2018-09-24 09:22:46	ga_ls8c_ard_3-0-0_090091_2018-09-23_final
2018-10-01 09:29:00	ga_ls8c_ard_3-0-0_091091_2018-09-30_final
2018-10-10 09:22:54	ga_ls8c_ard_3-0-0_090091_2018-10-09_final
2018-10-17 09:29:07	ga_ls8c_ard_3-0-0_091091_2018-10-16_final
2018-10-26 09:22:59	ga_ls8c_ard_3-0-0_090091_2018-10-25_final
2018-11-02 09:29:11	ga_ls8c_ard_3-0-0_091091_2018-11-01_final
2018-11-11 09:23:01	ga_ls8c_ard_3-0-0_090091_2018-11-10_final
2018-11-27 09:23:01	ga_ls8c_ard_3-0-0_090091_2018-11-26_final
2018-12-04 09:29:10	ga_ls8c_ard_3-0-0_091091_2018-12-03_final
2018-12-13 09:22:57	ga_ls8c_ard_3-0-0_090091_2018-12-12_final
2018-12-29 09:22:58	ga_ls8c_ard_3-0-0_090091_2018-12-28_final
2019-01-05 09:29:08	ga_ls8c_ard_3-0-0_091091_2019-01-04_final
2019-01-14 09:22:56	ga_ls8c_ard_3-0-0_090091_2019-01-13_final
2019-01-21 09:29:05	ga_ls8c_ard_3-0-0_091091_2019-01-20_final
2019-01-30 09:22:52	ga_ls8c_ard_3-0-0_090091_2019-01-29_final
2019-03-03 09:22:45	ga_ls8c_ard_3-0-0_090091_2019-03-02_final
2019-03-19 09:22:40	ga_ls8c_ard_3-1-0_090091_2019-03-18_final
2019-04-27 09:28:40	ga_ls8c_ard_3-0-0_091091_2019-04-26_final
2019-05-13 09:28:49	ga_ls8c_ard_3-0-0_091091_2019-05-12_final
2019-05-22 09:22:44	ga_ls8c_ard_3-0-0_090091_2019-05-21_final
2019-05-29 09:28:58	ga_ls8c_ard_3-0-0_091091_2019-05-28_final
2019-06-07 09:22:52	ga_ls8c_ard_3-0-0_090091_2019-06-06_final
2019-06-14 09:29:05	ga_ls8c_ard_3-1-0_091091_2019-06-13_final
2019-06-23 09:22:57	ga_ls8c_ard_3-1-0_090091_2019-06-22_final
2019-06-30 09:29:10	ga_ls8c_ard_3-1-0_091091_2019-06-29_final
2019-07-09 09:23:01	ga_ls8c_ard_3-1-0_090091_2019-07-08_final
2019-07-16 09:29:13	ga_ls8c_ard_3-1-0_091091_2019-07-15_final
2019-08-01 09:29:19	ga_ls8c_ard_3-1-0_091091_2019-07-31_final
2019-08-10 09:23:12	ga_ls8c_ard_3-1-0_090091_2019-08-09_final
2019-08-17 09:29:25	ga_ls8c_ard_3-1-0_091091_2019-08-16_final
2019-09-02 09:29:28	ga_ls8c_ard_3-1-0_091091_2019-09-01_final
2019-09-18 09:29:33	ga_ls8c_ard_3-1-0_091091_2019-09-17_final
2019-09-27 09:23:25	ga_ls8c_ard_3-1-0_090091_2019-09-26_final
2019-10-04 09:29:38	ga_ls8c_ard_3-1-0_091091_2019-10-03_final
2019-10-13 09:23:28	ga_ls8c_ard_3-1-0_090091_2019-10-12_final
2019-10-20 09:29:40	ga_ls8c_ard_3-1-0_091091_2019-10-19_final
2019-10-29 09:23:29	ga_ls8c_ard_3-1-0_090091_2019-10-28_final
2019-11-05 09:29:39	ga_ls8c_ard_3-1-0_091091_2019-11-04_final
2019-11-14 09:23:26	ga_ls8c_ard_3-1-0_090091_2019-11-13_final
2019-11-21 09:29:35	ga_ls8c_ard_3-1-0_091091_2019-11-20_final
2019-11-30 09:23:24	ga_ls8c_ard_3-1-0_090091_2019-11-29_final
2019-12-07 09:29:35	ga_ls8c_ard_3-1-0_091091_2019-12-06_final
2019-12-16 09:23:23	ga_ls8c_ard_3-2-0_090091_2019-12-15_final
2019-12-23 09:29:32	ga_ls8c_ard_3-1-0_091091_2019-12-22_final
2020-01-01 09:23:18	ga_ls8c_ard_3-1-0_090091_2019-12-31_final
2020-01-08 09:29:28	ga_ls8c_ard_3-1-0_091091_2020-01-07_final
2020-01-17 09:23:15	ga_ls8c_ard_3-1-0_090091_2020-01-16_final
2020-01-24 09:29:24	ga_ls8c_ard_3-1-0_091091_2020-01-23_final
2020-02-02 09:23:10	ga_ls8c_ard_3-1-0_090091_2020-02-01_final
2024-01-28 09:23:06	ga_ls8c_ard_3-2-1_090091_2024-01-27_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