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
2013-03-28 09:20:39	ga_ls8c_ard_3-0-0_090089_2013-03-27_final
2013-04-28 09:17:52	ga_ls8c_ard_3-0-0_089089_2013-04-27_final
2013-05-28 09:30:31	ga_ls8c_ard_3-0-0_091089_2013-05-28_final
2013-06-29 09:30:25	ga_ls8c_ard_3-0-0_091089_2013-06-29_final
2013-06-29 09:30:49	ga_ls8c_ard_3-0-0_091090_2013-06-29_final
2013-07-01 09:18:04	ga_ls8c_ard_3-0-0_089089_2013-06-30_final
2013-07-17 09:18:05	ga_ls8c_ard_3-0-0_089089_2013-07-16_final
2013-07-24 09:24:15	ga_ls8c_ard_3-0-0_090089_2013-07-23_final
2013-08-02 09:18:07	ga_ls8c_ard_3-0-0_089089_2013-08-01_final
2013-08-18 09:18:07	ga_ls8c_ard_3-0-0_089089_2013-08-17_final
2013-08-23 09:36:41	ga_ls8c_ard_3-0-0_092089_2013-08-23_final
2013-08-25 09:24:20	ga_ls8c_ard_3-0-0_090089_2013-08-24_final
2013-09-01 09:30:31	ga_ls8c_ard_3-0-0_091089_2013-09-01_final
2013-09-19 09:18:03	ga_ls8c_ard_3-0-0_089089_2013-09-18_final
2013-09-24 09:36:33	ga_ls8c_ard_3-0-0_092089_2013-09-24_final
2013-10-03 09:30:21	ga_ls8c_ard_3-0-0_091089_2013-10-03_final
2013-10-28 09:24:00	ga_ls8c_ard_3-0-0_090089_2013-10-27_final
2013-11-04 09:30:13	ga_ls8c_ard_3-0-0_091089_2013-11-04_final
2013-11-06 09:17:51	ga_ls8c_ard_3-0-0_089089_2013-11-05_final
2013-11-11 09:36:23	ga_ls8c_ard_3-0-0_092089_2013-11-11_final
2015-06-28 09:21:39	ga_ls8c_ard_3-0-0_090089_2015-06-27_final
2015-06-28 09:22:03	ga_ls8c_ard_3-0-0_090090_2015-06-27_final
2015-07-05 09:27:55	ga_ls8c_ard_3-0-0_091089_2015-07-04_final
2015-07-05 09:28:19	ga_ls8c_ard_3-0-0_091090_2015-07-04_final
2015-07-14 09:21:50	ga_ls8c_ard_3-0-0_090089_2015-07-13_final
2015-07-14 09:22:14	ga_ls8c_ard_3-0-0_090090_2015-07-13_final
2015-07-21 09:28:03	ga_ls8c_ard_3-0-0_091089_2015-07-20_final
2015-07-21 09:28:27	ga_ls8c_ard_3-0-0_091090_2015-07-20_final
2015-07-23 09:15:42	ga_ls8c_ard_3-0-0_089089_2015-07-22_final
2015-07-23 09:16:06	ga_ls8c_ard_3-0-0_089090_2015-07-22_final
2015-07-28 09:34:15	ga_ls8c_ard_3-0-0_092089_2015-07-28_final
2015-07-28 09:34:39	ga_ls8c_ard_3-0-0_092090_2015-07-28_final
2015-08-06 09:28:05	ga_ls8c_ard_3-0-0_091089_2015-08-05_final
2015-08-06 09:28:29	ga_ls8c_ard_3-0-0_091090_2015-08-05_final
2015-09-23 09:28:27	ga_ls8c_ard_3-0-0_091089_2015-09-22_final
2015-09-23 09:28:51	ga_ls8c_ard_3-0-0_091090_2015-09-22_final
2015-09-25 09:16:06	ga_ls8c_ard_3-0-0_089089_2015-09-24_final
2015-09-30 09:34:40	ga_ls8c_ard_3-0-0_092089_2015-09-30_final
2015-09-30 09:35:04	ga_ls8c_ard_3-0-0_092090_2015-09-30_final
2015-10-09 09:28:29	ga_ls8c_ard_3-0-0_091089_2015-10-08_final
2015-10-16 09:34:39	ga_ls8c_ard_3-0-0_092089_2015-10-16_final
2015-10-16 09:35:03	ga_ls8c_ard_3-0-0_092090_2015-10-16_final
2015-10-18 09:22:19	ga_ls8c_ard_3-0-0_090089_2015-10-17_final
2015-10-25 09:28:33	ga_ls8c_ard_3-0-0_091089_2015-10-24_final
2015-10-27 09:16:12	ga_ls8c_ard_3-0-0_089089_2015-10-26_final
2015-11-01 09:34:46	ga_ls8c_ard_3-0-0_092089_2015-11-01_final
2015-11-03 09:22:24	ga_ls8c_ard_3-0-0_090089_2015-11-02_final
2015-11-10 09:28:34	ga_ls8c_ard_3-0-0_091089_2015-11-09_final
2015-11-10 09:28:58	ga_ls8c_ard_3-0-0_091090_2015-11-09_final
2015-11-12 09:16:12	ga_ls8c_ard_3-0-0_089089_2015-11-11_final
2015-11-17 09:34:46	ga_ls8c_ard_3-0-0_092089_2015-11-17_final
2015-11-19 09:22:25	ga_ls8c_ard_3-0-0_090089_2015-11-18_final
2015-11-26 09:28:37	ga_ls8c_ard_3-0-0_091089_2015-11-25_final
2015-11-26 09:29:01	ga_ls8c_ard_3-0-0_091090_2015-11-25_final
2015-11-28 09:16:16	ga_ls8c_ard_3-0-0_089089_2015-11-27_final
2015-12-14 09:16:14	ga_ls8c_ard_3-0-0_089089_2015-12-13_final
2015-12-28 09:28:36	ga_ls8c_ard_3-0-0_091089_2015-12-27_final
2015-12-28 09:29:00	ga_ls8c_ard_3-0-0_091090_2015-12-27_final
2015-12-30 09:16:13	ga_ls8c_ard_3-0-0_089089_2015-12-29_final
2015-12-30 09:16:37	ga_ls8c_ard_3-0-0_089090_2015-12-29_final
2016-01-13 09:28:33	ga_ls8c_ard_3-0-0_091089_2016-01-12_final
2016-01-15 09:16:11	ga_ls8c_ard_3-0-0_089089_2016-01-14_final
2016-01-29 09:28:32	ga_ls8c_ard_3-0-0_091089_2016-01-28_final
2016-01-31 09:16:10	ga_ls8c_ard_3-0-0_089089_2016-01-30_final
2016-02-05 09:34:41	ga_ls8c_ard_3-0-0_092089_2016-02-05_final
2016-02-07 09:22:18	ga_ls8c_ard_3-0-0_090089_2016-02-06_final
2016-02-14 09:28:25	ga_ls8c_ard_3-0-0_091089_2016-02-13_final
2016-02-16 09:16:02	ga_ls8c_ard_3-0-0_089089_2016-02-15_final
2016-03-03 09:16:00	ga_ls8c_ard_3-0-0_089089_2016-03-02_final
2016-03-19 09:15:54	ga_ls8c_ard_3-0-0_089089_2016-03-18_final
2016-04-02 09:28:07	ga_ls8c_ard_3-0-0_091089_2016-04-01_final
2016-04-04 09:15:45	ga_ls8c_ard_3-0-0_089089_2016-04-03_final
2016-04-20 09:15:39	ga_ls8c_ard_3-0-0_089089_2016-04-19_final
2016-05-04 09:28:06	ga_ls8c_ard_3-0-0_091089_2016-05-03_final
2016-05-04 09:28:29	ga_ls8c_ard_3-0-0_091090_2016-05-03_final
2016-05-06 09:15:43	ga_ls8c_ard_3-0-0_089089_2016-05-05_final
2019-12-30 09:34:53	ga_ls8c_ard_3-1-0_092089_2019-12-30_final
2020-02-18 09:22:19	ga_ls8c_ard_3-1-0_090089_2020-02-17_final
2020-05-08 09:21:41	ga_ls8c_ard_3-1-0_090089_2020-05-07_final
2021-01-19 09:22:26	ga_ls8c_ard_3-2-0_090089_2021-01-18_final
2021-01-26 09:28:36	ga_ls8c_ard_3-2-0_091089_2021-01-25_final
2021-02-02 09:34:46	ga_ls8c_ard_3-2-0_092089_2021-02-02_final
2021-02-18 09:34:43	ga_ls8c_ard_3-2-0_092089_2021-02-18_final
2021-02-20 09:22:20	ga_ls8c_ard_3-2-0_090089_2021-02-19_final
2021-03-06 09:34:35	ga_ls8c_ard_3-2-0_092089_2021-03-06_final
2021-03-22 09:34:28	ga_ls8c_ard_3-2-0_092089_2021-03-22_final
2021-03-31 09:28:15	ga_ls8c_ard_3-2-0_091089_2021-03-30_final
2021-04-02 09:15:53	ga_ls8c_ard_3-2-0_089089_2021-04-01_final
2021-04-09 09:22:01	ga_ls8c_ard_3-2-0_090089_2021-04-08_final
2021-05-20 09:15:45	ga_ls8c_ard_3-2-0_089089_2021-05-19_final
2021-05-20 09:16:09	ga_ls8c_ard_3-2-0_089090_2021-05-19_final
2022-01-29 09:28:36	ga_ls8c_ard_3-2-1_091089_2022-01-28_final
2022-01-31 09:16:15	ga_ls8c_ard_3-2-1_089089_2022-01-30_final
2022-02-05 09:34:47	ga_ls8c_ard_3-2-1_092089_2022-02-05_final
2022-02-07 09:22:25	ga_ls8c_ard_3-2-1_090089_2022-02-06_final
2022-03-02 09:28:29	ga_ls8c_ard_3-2-1_091089_2022-03-01_final
2022-03-04 09:16:07	ga_ls8c_ard_3-2-1_089089_2022-03-03_final
2022-03-18 09:28:22	ga_ls8c_ard_3-2-1_091089_2022-03-17_final
2022-03-20 09:15:59	ga_ls8c_ard_3-2-1_089089_2022-03-19_final
2022-05-05 09:28:18	ga_ls8c_ard_3-2-1_091089_2022-05-04_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