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:

Add field

First 100 results (query limit)

Time (local)	Label
2014-07-04 09:16:18	ga_ls8c_ard_3-0-0_089090_2014-07-03_final
2014-07-18 09:28:44	ga_ls8c_ard_3-0-0_091090_2014-07-17_final
2014-07-27 09:22:35	ga_ls8c_ard_3-0-0_090090_2014-07-26_final
2014-08-19 09:28:56	ga_ls8c_ard_3-0-0_091090_2014-08-18_final
2014-08-28 09:22:46	ga_ls8c_ard_3-0-0_090090_2014-08-27_final
2014-09-04 09:28:59	ga_ls8c_ard_3-0-0_091090_2014-09-03_final
2014-09-20 09:28:59	ga_ls8c_ard_3-0-0_091090_2014-09-19_final
2014-10-06 09:29:04	ga_ls8c_ard_3-0-0_091090_2014-10-05_final
2014-10-24 09:16:44	ga_ls8c_ard_3-0-0_089090_2014-10-23_final
2014-10-31 09:22:51	ga_ls8c_ard_3-0-0_090090_2014-10-30_final
2014-11-07 09:29:06	ga_ls8c_ard_3-0-0_091090_2014-11-06_final
2015-01-03 09:22:43	ga_ls8c_ard_3-0-0_090090_2015-01-02_final
2015-03-31 09:28:42	ga_ls8c_ard_3-0-0_091091_2015-03-30_final
2015-04-25 09:22:25	ga_ls8c_ard_3-0-0_090091_2015-04-24_final
2015-05-27 09:21:45	ga_ls8c_ard_3-0-0_090090_2015-05-26_final
2015-05-27 09:22:09	ga_ls8c_ard_3-0-0_090091_2015-05-26_final
2015-06-12 09:22:21	ga_ls8c_ard_3-0-0_090091_2015-06-11_final
2017-04-14 09:22:33	ga_ls8c_ard_3-0-0_090091_2017-04-13_final
2017-04-28 09:34:21	ga_ls8c_ard_3-0-0_092090_2017-04-28_final
2017-05-09 09:15:52	ga_ls8c_ard_3-0-0_089090_2017-05-08_final
2017-06-01 09:22:41	ga_ls8c_ard_3-0-0_090091_2017-05-31_final
2017-06-10 09:16:11	ga_ls8c_ard_3-0-0_089090_2017-06-09_final
2017-07-17 09:34:53	ga_ls8c_ard_3-0-0_092090_2017-07-17_final
2017-07-19 09:22:33	ga_ls8c_ard_3-0-0_090090_2017-07-18_final
2017-07-19 09:22:57	ga_ls8c_ard_3-0-0_090091_2017-07-18_final
2017-07-26 09:28:47	ga_ls8c_ard_3-0-0_091090_2017-07-25_final
2017-07-26 09:29:11	ga_ls8c_ard_3-0-0_091091_2017-07-25_final
2018-03-23 09:28:47	ga_ls8c_ard_3-0-0_091091_2018-03-22_final
2018-06-27 09:27:53	ga_ls8c_ard_3-0-0_091090_2018-06-26_final
2018-06-27 09:28:17	ga_ls8c_ard_3-0-0_091091_2018-06-26_final
2018-07-29 09:28:08	ga_ls8c_ard_3-0-0_091090_2018-07-28_final
2018-07-29 09:28:32	ga_ls8c_ard_3-0-0_091091_2018-07-28_final
2018-08-05 09:34:23	ga_ls8c_ard_3-0-0_092090_2018-08-05_final
2018-08-07 09:22:03	ga_ls8c_ard_3-0-0_090090_2018-08-06_final
2018-08-07 09:22:27	ga_ls8c_ard_3-0-0_090091_2018-08-06_final
2018-08-14 09:28:41	ga_ls8c_ard_3-0-0_091091_2018-08-13_final
2018-08-23 09:22:11	ga_ls8c_ard_3-0-0_090090_2018-08-22_final
2018-08-23 09:22:35	ga_ls8c_ard_3-0-0_090091_2018-08-22_final
2018-08-30 09:28:24	ga_ls8c_ard_3-0-0_091090_2018-08-29_final
2018-08-30 09:28:48	ga_ls8c_ard_3-0-0_091091_2018-08-29_final
2018-09-01 09:16:04	ga_ls8c_ard_3-0-0_089090_2018-08-31_final
2018-09-08 09:22:41	ga_ls8c_ard_3-0-0_090091_2018-09-07_final
2018-09-15 09:28:53	ga_ls8c_ard_3-0-0_091091_2018-09-14_final
2018-09-17 09:16:08	ga_ls8c_ard_3-0-0_089090_2018-09-16_final
2018-09-22 09:34:42	ga_ls8c_ard_3-0-0_092090_2018-09-22_final
2018-09-24 09:22:22	ga_ls8c_ard_3-0-0_090090_2018-09-23_final
2018-09-24 09:22:46	ga_ls8c_ard_3-0-0_090091_2018-09-23_final
2018-10-01 09:28:36	ga_ls8c_ard_3-0-0_091090_2018-09-30_final
2018-10-01 09:29:00	ga_ls8c_ard_3-0-0_091091_2018-09-30_final
2018-10-08 09:34:50	ga_ls8c_ard_3-0-0_092090_2018-10-08_final
2018-10-10 09:22:30	ga_ls8c_ard_3-0-0_090090_2018-10-09_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
2018-10-24 09:34:56	ga_ls8c_ard_3-0-0_092090_2018-10-24_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
2018-11-09 09:34:59	ga_ls8c_ard_3-0-0_092090_2018-11-09_final
2018-11-11 09:23:01	ga_ls8c_ard_3-0-0_090091_2018-11-10_final
2018-11-18 09:29:12	ga_ls8c_ard_3-0-0_091091_2018-11-17_final
2018-11-27 09:22:37	ga_ls8c_ard_3-0-0_090090_2018-11-26_final
2018-11-27 09:23:01	ga_ls8c_ard_3-0-0_090091_2018-11-26_final
2018-12-04 09:28:46	ga_ls8c_ard_3-0-0_091090_2018-12-03_final
2018-12-04 09:29:10	ga_ls8c_ard_3-0-0_091091_2018-12-03_final
2018-12-06 09:16:24	ga_ls8c_ard_3-0-0_089090_2018-12-05_final
2018-12-13 09:22:57	ga_ls8c_ard_3-0-0_090091_2018-12-12_final
2019-01-05 09:29:08	ga_ls8c_ard_3-0-0_091091_2019-01-04_final
2019-01-21 09:29:05	ga_ls8c_ard_3-0-0_091091_2019-01-20_final
2020-02-18 09:23:06	ga_ls8c_ard_3-1-0_090091_2020-02-17_final
2020-03-05 09:23:01	ga_ls8c_ard_3-1-0_090091_2020-03-04_final
2020-03-12 09:29:09	ga_ls8c_ard_3-1-0_091091_2020-03-11_final
2020-05-08 09:22:29	ga_ls8c_ard_3-1-0_090091_2020-05-07_final
2022-12-06 09:35:36	ga_ls8c_ard_3-2-1_092090_2022-12-06_final
2023-01-25 09:23:27	ga_ls8c_ard_3-2-1_090091_2023-01-24_final
2023-02-10 09:23:25	ga_ls8c_ard_3-2-1_090091_2023-02-09_final
2023-02-26 09:23:08	ga_ls8c_ard_3-2-1_090091_2023-02-25_final
2023-03-14 09:23:03	ga_ls8c_ard_3-2-1_090091_2023-03-13_final
2023-03-30 09:22:53	ga_ls8c_ard_3-2-1_090091_2023-03-29_final
2023-04-15 09:22:38	ga_ls8c_ard_3-2-1_090091_2023-04-14_final
2023-05-01 09:22:34	ga_ls8c_ard_3-2-1_090091_2023-04-30_final
2023-05-17 09:22:21	ga_ls8c_ard_3-2-1_090091_2023-05-16_final
2023-05-26 09:15:49	ga_ls8c_ard_3-2-1_089090_2023-05-25_final
2023-05-31 09:34:21	ga_ls8c_ard_3-2-1_092090_2023-05-31_final
2023-06-02 09:22:24	ga_ls8c_ard_3-2-1_090091_2023-06-01_final
2023-06-09 09:28:17	ga_ls8c_ard_3-2-1_091090_2023-06-08_final
2023-06-11 09:15:56	ga_ls8c_ard_3-2-1_089090_2023-06-10_final
2023-06-18 09:22:33	ga_ls8c_ard_3-2-1_090091_2023-06-17_final
2023-06-25 09:28:23	ga_ls8c_ard_3-2-1_091090_2023-06-24_final
2023-06-27 09:16:03	ga_ls8c_ard_3-2-1_089090_2023-06-26_final
2023-07-02 09:34:40	ga_ls8c_ard_3-2-1_092090_2023-07-02_final
2023-07-04 09:22:44	ga_ls8c_ard_3-2-1_090091_2023-07-03_final
2023-07-11 09:28:34	ga_ls8c_ard_3-2-1_091090_2023-07-10_final
2023-07-13 09:16:13	ga_ls8c_ard_3-2-1_089090_2023-07-12_final
2023-07-20 09:22:23	ga_ls8c_ard_3-2-1_090090_2023-07-19_final
2023-07-20 09:22:47	ga_ls8c_ard_3-2-1_090091_2023-07-19_final
2023-07-29 09:16:19	ga_ls8c_ard_3-2-1_089090_2023-07-28_final
2023-08-03 09:34:54	ga_ls8c_ard_3-2-1_092090_2023-08-03_final
2023-08-05 09:22:57	ga_ls8c_ard_3-2-1_090091_2023-08-04_final
2023-08-12 09:28:44	ga_ls8c_ard_3-2-1_091090_2023-08-11_final
2023-08-19 09:35:00	ga_ls8c_ard_3-2-1_092090_2023-08-19_final
2023-09-15 09:16:34	ga_ls8c_ard_3-2-1_089090_2023-09-14_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