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
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
2016-05-11 09:34:12	ga_ls8c_ard_3-0-0_092089_2016-05-11_final
2016-05-11 09:34:36	ga_ls8c_ard_3-0-0_092090_2016-05-11_final
2016-05-13 09:21:49	ga_ls8c_ard_3-0-0_090089_2016-05-12_final
2016-05-13 09:22:13	ga_ls8c_ard_3-0-0_090090_2016-05-12_final
2016-05-20 09:28:04	ga_ls8c_ard_3-0-0_091089_2016-05-19_final
2016-05-20 09:28:27	ga_ls8c_ard_3-0-0_091090_2016-05-19_final
2016-05-27 09:34:17	ga_ls8c_ard_3-0-0_092089_2016-05-27_final
2016-05-27 09:34:41	ga_ls8c_ard_3-0-0_092090_2016-05-27_final
2016-05-29 09:21:56	ga_ls8c_ard_3-0-0_090089_2016-05-28_final
2016-05-29 09:22:20	ga_ls8c_ard_3-0-0_090090_2016-05-28_final
2016-06-05 09:28:09	ga_ls8c_ard_3-0-0_091089_2016-06-04_final
2016-06-05 09:28:33	ga_ls8c_ard_3-0-0_091090_2016-06-04_final
2016-06-12 09:34:20	ga_ls8c_ard_3-0-0_092089_2016-06-12_final
2016-06-12 09:34:44	ga_ls8c_ard_3-0-0_092090_2016-06-12_final
2016-06-14 09:21:59	ga_ls8c_ard_3-0-0_090089_2016-06-13_final
2016-06-14 09:22:23	ga_ls8c_ard_3-0-0_090090_2016-06-13_final
2016-06-21 09:28:13	ga_ls8c_ard_3-0-0_091089_2016-06-20_final
2016-06-21 09:28:37	ga_ls8c_ard_3-0-0_091090_2016-06-20_final
2016-07-23 09:28:27	ga_ls8c_ard_3-0-0_091089_2016-07-22_final
2016-07-23 09:28:51	ga_ls8c_ard_3-0-0_091090_2016-07-22_final
2016-07-30 09:34:40	ga_ls8c_ard_3-0-0_092089_2016-07-30_final
2016-07-30 09:35:04	ga_ls8c_ard_3-0-0_092090_2016-07-30_final
2016-08-01 09:22:18	ga_ls8c_ard_3-0-0_090089_2016-07-31_final
2016-08-01 09:22:42	ga_ls8c_ard_3-0-0_090090_2016-07-31_final
2016-08-15 09:34:43	ga_ls8c_ard_3-0-0_092089_2016-08-15_final
2016-08-15 09:35:07	ga_ls8c_ard_3-0-0_092090_2016-08-15_final
2016-08-17 09:22:22	ga_ls8c_ard_3-0-0_090089_2016-08-16_final
2016-08-17 09:22:46	ga_ls8c_ard_3-0-0_090090_2016-08-16_final
2016-08-24 09:28:36	ga_ls8c_ard_3-0-0_091089_2016-08-23_final
2016-08-24 09:29:00	ga_ls8c_ard_3-0-0_091090_2016-08-23_final
2016-08-26 09:16:15	ga_ls8c_ard_3-0-0_089089_2016-08-25_final
2016-08-26 09:16:39	ga_ls8c_ard_3-0-0_089090_2016-08-25_final
2016-09-02 09:22:29	ga_ls8c_ard_3-0-0_090089_2016-09-01_final
2016-09-02 09:22:53	ga_ls8c_ard_3-0-0_090090_2016-09-01_final
2016-09-11 09:16:20	ga_ls8c_ard_3-0-0_089089_2016-09-10_final
2016-09-11 09:16:44	ga_ls8c_ard_3-0-0_089090_2016-09-10_final
2016-09-16 09:34:53	ga_ls8c_ard_3-0-0_092089_2016-09-16_final
2016-09-16 09:35:17	ga_ls8c_ard_3-0-0_092090_2016-09-16_final
2016-09-18 09:22:31	ga_ls8c_ard_3-0-0_090089_2016-09-17_final
2016-09-18 09:22:55	ga_ls8c_ard_3-0-0_090090_2016-09-17_final
2016-10-02 09:34:54	ga_ls8c_ard_3-0-0_092089_2016-10-02_final
2016-10-02 09:35:18	ga_ls8c_ard_3-0-0_092090_2016-10-02_final
2016-10-04 09:22:33	ga_ls8c_ard_3-0-0_090089_2016-10-03_final
2016-10-04 09:22:57	ga_ls8c_ard_3-0-0_090090_2016-10-03_final
2016-10-11 09:28:47	ga_ls8c_ard_3-0-0_091089_2016-10-10_final
2016-10-11 09:29:10	ga_ls8c_ard_3-0-0_091090_2016-10-10_final
2016-10-13 09:16:26	ga_ls8c_ard_3-0-0_089089_2016-10-12_final
2016-10-13 09:16:50	ga_ls8c_ard_3-0-0_089090_2016-10-12_final
2016-10-20 09:22:38	ga_ls8c_ard_3-0-0_090089_2016-10-19_final
2016-10-20 09:23:02	ga_ls8c_ard_3-0-0_090090_2016-10-19_final
2016-10-29 09:16:27	ga_ls8c_ard_3-0-0_089089_2016-10-28_final
2016-10-29 09:16:51	ga_ls8c_ard_3-0-0_089090_2016-10-28_final
2016-11-03 09:35:00	ga_ls8c_ard_3-0-0_092089_2016-11-03_final
2016-11-03 09:35:24	ga_ls8c_ard_3-0-0_092090_2016-11-03_final
2016-11-05 09:22:38	ga_ls8c_ard_3-0-0_090089_2016-11-04_final
2016-11-05 09:23:02	ga_ls8c_ard_3-0-0_090090_2016-11-04_final
2016-11-19 09:34:59	ga_ls8c_ard_3-0-0_092089_2016-11-19_final
2016-11-19 09:35:23	ga_ls8c_ard_3-0-0_092090_2016-11-19_final
2016-11-21 09:22:38	ga_ls8c_ard_3-0-0_090089_2016-11-20_final
2016-11-21 09:23:02	ga_ls8c_ard_3-0-0_090090_2016-11-20_final
2017-07-12 09:15:55	ga_ls8c_ard_3-0-0_089089_2017-07-11_final
2017-07-12 09:16:19	ga_ls8c_ard_3-0-0_089090_2017-07-11_final
2017-08-18 09:34:43	ga_ls8c_ard_3-0-0_092089_2017-08-18_final
2017-08-18 09:35:06	ga_ls8c_ard_3-0-0_092090_2017-08-18_final
2017-08-20 09:22:21	ga_ls8c_ard_3-0-0_090089_2017-08-19_final
2017-08-20 09:22:45	ga_ls8c_ard_3-0-0_090090_2017-08-19_final
2017-09-12 09:28:35	ga_ls8c_ard_3-0-0_091089_2017-09-11_final
2017-09-12 09:28:58	ga_ls8c_ard_3-0-0_091090_2017-09-11_final
2017-09-14 09:16:13	ga_ls8c_ard_3-0-0_089089_2017-09-13_final
2017-09-14 09:16:37	ga_ls8c_ard_3-0-0_089090_2017-09-13_final
2017-09-30 09:16:20	ga_ls8c_ard_3-0-0_089089_2017-09-29_final
2017-09-30 09:16:44	ga_ls8c_ard_3-0-0_089090_2017-09-29_final
2017-10-05 09:34:54	ga_ls8c_ard_3-0-0_092089_2017-10-05_final
2017-10-05 09:35:18	ga_ls8c_ard_3-0-0_092090_2017-10-05_final
2017-10-07 09:22:33	ga_ls8c_ard_3-0-0_090089_2017-10-06_final
2017-10-07 09:22:57	ga_ls8c_ard_3-0-0_090090_2017-10-06_final
2019-01-07 09:15:58	ga_ls8c_ard_3-0-0_089089_2019-01-06_final
2019-01-07 09:16:22	ga_ls8c_ard_3-0-0_089090_2019-01-06_final
2024-01-19 09:28:34	ga_ls8c_ard_3-2-1_091089_2024-01-18_final
2024-01-19 09:28:58	ga_ls8c_ard_3-2-1_091090_2024-01-18_final
2024-01-21 09:16:12	ga_ls8c_ard_3-2-1_089089_2024-01-20_final
2024-01-21 09:16:36	ga_ls8c_ard_3-2-1_089090_2024-01-20_final
2024-02-27 09:34:40	ga_ls8c_ard_3-2-1_092089_2024-02-27_final
2024-02-27 09:35:04	ga_ls8c_ard_3-2-1_092090_2024-02-27_final
2024-02-29 09:22:16	ga_ls8c_ard_3-2-1_090089_2024-02-28_final
2024-02-29 09:22:40	ga_ls8c_ard_3-2-1_090090_2024-02-28_final
2024-04-08 09:28:04	ga_ls8c_ard_3-2-1_091089_2024-04-07_final
2024-04-08 09:28:28	ga_ls8c_ard_3-2-1_091090_2024-04-07_final
2024-04-10 09:16:06	ga_ls8c_ard_3-2-1_089090_2024-04-09_final
2024-04-15 09:34:11	ga_ls8c_ard_3-2-1_092089_2024-04-15_final
2024-04-15 09:34:35	ga_ls8c_ard_3-2-1_092090_2024-04-15_final
2024-04-17 09:21:47	ga_ls8c_ard_3-2-1_090089_2024-04-16_final
2024-04-17 09:22:11	ga_ls8c_ard_3-2-1_090090_2024-04-16_final
2024-04-24 09:27:55	ga_ls8c_ard_3-2-1_091089_2024-04-23_final
2024-04-24 09:28:19	ga_ls8c_ard_3-2-1_091090_2024-04-23_final
2024-05-01 09:34:00	ga_ls8c_ard_3-2-1_092089_2024-05-01_nrt
2024-05-01 09:34:23	ga_ls8c_ard_3-2-1_092090_2024-05-01_nrt
2024-05-03 09:21:37	ga_ls8c_ard_3-2-1_090089_2024-05-02_nrt

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