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
2015-07-07 09:14:47	ga_ls8c_ard_3-0-0_089087_2015-07-06_final
2015-07-07 09:15:11	ga_ls8c_ard_3-0-0_089088_2015-07-06_final
2015-07-08 09:58:03	ga_ls8c_ard_3-0-0_096087_2015-07-08_final
2015-08-08 09:14:57	ga_ls8c_ard_3-0-0_089087_2015-08-07_final
2015-08-08 09:15:21	ga_ls8c_ard_3-0-0_089088_2015-08-07_final
2015-08-09 09:58:13	ga_ls8c_ard_3-0-0_096087_2015-08-09_final
2015-09-09 09:15:11	ga_ls8c_ard_3-0-0_089087_2015-09-08_final
2015-09-09 09:15:35	ga_ls8c_ard_3-0-0_089088_2015-09-08_final
2015-09-10 09:58:27	ga_ls8c_ard_3-0-0_096087_2015-09-10_final
2015-09-21 09:40:00	ga_ls8c_ard_3-0-0_093087_2015-09-21_final
2015-09-21 09:40:24	ga_ls8c_ard_3-0-0_093088_2015-09-21_final
2015-09-23 09:27:39	ga_ls8c_ard_3-0-0_091087_2015-09-22_final
2015-09-23 09:28:03	ga_ls8c_ard_3-0-0_091088_2015-09-22_final
2015-11-24 09:40:11	ga_ls8c_ard_3-0-0_093087_2015-11-24_final
2015-11-24 09:40:35	ga_ls8c_ard_3-0-0_093088_2015-11-24_final
2015-11-26 09:27:49	ga_ls8c_ard_3-0-0_091087_2015-11-25_final
2015-11-26 09:28:13	ga_ls8c_ard_3-0-0_091088_2015-11-25_final
2015-11-28 09:15:28	ga_ls8c_ard_3-0-0_089087_2015-11-27_final
2015-11-28 09:15:52	ga_ls8c_ard_3-0-0_089088_2015-11-27_final
2015-11-29 09:58:43	ga_ls8c_ard_3-0-0_096087_2015-11-29_final
2016-01-06 09:21:34	ga_ls8c_ard_3-0-0_090087_2016-01-05_final
2016-01-06 09:21:58	ga_ls8c_ard_3-0-0_090088_2016-01-05_final
2016-01-09 09:52:27	ga_ls8c_ard_3-0-0_095087_2016-01-09_final
2016-01-09 09:52:51	ga_ls8c_ard_3-0-0_095088_2016-01-09_final
2016-01-18 09:46:18	ga_ls8c_ard_3-0-0_094087_2016-01-18_final
2016-01-18 09:46:42	ga_ls8c_ard_3-0-0_094088_2016-01-18_final
2016-02-12 09:40:00	ga_ls8c_ard_3-0-0_093087_2016-02-12_final
2016-02-12 09:40:24	ga_ls8c_ard_3-0-0_093088_2016-02-12_final
2016-02-14 09:27:37	ga_ls8c_ard_3-0-0_091087_2016-02-13_final
2016-02-14 09:28:01	ga_ls8c_ard_3-0-0_091088_2016-02-13_final
2016-02-16 09:15:14	ga_ls8c_ard_3-0-0_089087_2016-02-15_final
2016-02-16 09:15:38	ga_ls8c_ard_3-0-0_089088_2016-02-15_final
2016-02-17 09:58:29	ga_ls8c_ard_3-0-0_096087_2016-02-17_final
2016-04-27 09:21:02	ga_ls8c_ard_3-0-0_090087_2016-04-26_final
2016-04-27 09:21:26	ga_ls8c_ard_3-0-0_090088_2016-04-26_final
2016-05-18 09:39:36	ga_ls8c_ard_3-0-0_093087_2016-05-18_final
2016-05-18 09:40:00	ga_ls8c_ard_3-0-0_093088_2016-05-18_final
2016-05-20 09:27:16	ga_ls8c_ard_3-0-0_091087_2016-05-19_final
2016-05-20 09:27:40	ga_ls8c_ard_3-0-0_091088_2016-05-19_final
2016-05-23 09:58:11	ga_ls8c_ard_3-0-0_096087_2016-05-23_final
2016-06-24 09:58:21	ga_ls8c_ard_3-0-0_096087_2016-06-24_final
2016-07-03 09:52:15	ga_ls8c_ard_3-0-0_095087_2016-07-03_final
2016-07-03 09:52:39	ga_ls8c_ard_3-0-0_095088_2016-07-03_final
2016-07-12 09:46:08	ga_ls8c_ard_3-0-0_094087_2016-07-12_final
2016-07-12 09:46:32	ga_ls8c_ard_3-0-0_094088_2016-07-12_final
2016-07-14 09:33:48	ga_ls8c_ard_3-0-0_092087_2016-07-14_final
2016-07-14 09:34:12	ga_ls8c_ard_3-0-0_092088_2016-07-14_final
2016-07-21 09:40:01	ga_ls8c_ard_3-0-0_093087_2016-07-21_final
2016-07-21 09:40:25	ga_ls8c_ard_3-0-0_093088_2016-07-21_final
2016-07-23 09:27:40	ga_ls8c_ard_3-0-0_091087_2016-07-22_final
2016-07-23 09:28:03	ga_ls8c_ard_3-0-0_091088_2016-07-22_final
2016-08-04 09:52:25	ga_ls8c_ard_3-0-0_095087_2016-08-04_final
2016-08-04 09:52:49	ga_ls8c_ard_3-0-0_095088_2016-08-04_final
2016-08-06 09:40:03	ga_ls8c_ard_3-0-0_093087_2016-08-06_final
2016-08-06 09:40:27	ga_ls8c_ard_3-0-0_093088_2016-08-06_final
2016-08-08 09:27:42	ga_ls8c_ard_3-0-0_091087_2016-08-07_final
2016-08-08 09:28:06	ga_ls8c_ard_3-0-0_091088_2016-08-07_final
2016-08-22 09:40:09	ga_ls8c_ard_3-0-0_093087_2016-08-22_final
2016-08-22 09:40:33	ga_ls8c_ard_3-0-0_093088_2016-08-22_final
2016-08-29 09:46:23	ga_ls8c_ard_3-0-0_094087_2016-08-29_final
2016-08-29 09:46:47	ga_ls8c_ard_3-0-0_094088_2016-08-29_final
2016-08-31 09:34:02	ga_ls8c_ard_3-0-0_092087_2016-08-31_final
2016-08-31 09:34:26	ga_ls8c_ard_3-0-0_092088_2016-08-31_final
2016-09-11 09:15:32	ga_ls8c_ard_3-0-0_089087_2016-09-10_final
2016-09-11 09:15:56	ga_ls8c_ard_3-0-0_089088_2016-09-10_final
2016-09-12 09:58:48	ga_ls8c_ard_3-0-0_096087_2016-09-12_final
2016-09-21 09:52:38	ga_ls8c_ard_3-0-0_095087_2016-09-21_final
2016-09-21 09:53:01	ga_ls8c_ard_3-0-0_095088_2016-09-21_final
2016-10-25 09:40:23	ga_ls8c_ard_3-0-0_093087_2016-10-25_final
2016-10-25 09:40:47	ga_ls8c_ard_3-0-0_093088_2016-10-25_final
2016-10-27 09:28:01	ga_ls8c_ard_3-0-0_091087_2016-10-26_final
2016-10-27 09:28:25	ga_ls8c_ard_3-0-0_091088_2016-10-26_final
2016-12-21 09:34:05	ga_ls8c_ard_3-0-0_092087_2016-12-21_final
2016-12-21 09:34:29	ga_ls8c_ard_3-0-0_092088_2016-12-21_final
2016-12-23 09:21:43	ga_ls8c_ard_3-0-0_090087_2016-12-22_final
2016-12-23 09:22:07	ga_ls8c_ard_3-0-0_090088_2016-12-22_final
2016-12-30 09:27:54	ga_ls8c_ard_3-0-0_091087_2016-12-29_final
2016-12-30 09:28:18	ga_ls8c_ard_3-0-0_091088_2016-12-29_final
2017-02-23 09:33:45	ga_ls8c_ard_3-0-0_092087_2017-02-23_final
2017-02-23 09:34:09	ga_ls8c_ard_3-0-0_092088_2017-02-23_final
2017-02-25 09:21:22	ga_ls8c_ard_3-0-0_090087_2017-02-24_final
2017-02-25 09:21:46	ga_ls8c_ard_3-0-0_090088_2017-02-24_final
2023-04-29 09:33:21	ga_ls8c_ard_3-2-1_092087_2023-04-29_final
2023-04-29 09:33:44	ga_ls8c_ard_3-2-1_092088_2023-04-29_final
2023-05-04 09:51:50	ga_ls8c_ard_3-2-1_095087_2023-05-04_final
2023-05-06 09:39:26	ga_ls8c_ard_3-2-1_093087_2023-05-06_final
2023-05-06 09:39:50	ga_ls8c_ard_3-2-1_093088_2023-05-06_final
2023-05-08 09:27:03	ga_ls8c_ard_3-2-1_091087_2023-05-07_final
2023-05-08 09:27:27	ga_ls8c_ard_3-2-1_091088_2023-05-07_final
2023-05-10 09:15:03	ga_ls8c_ard_3-2-1_089088_2023-05-09_final
2023-05-13 09:45:30	ga_ls8c_ard_3-2-1_094087_2023-05-13_final
2023-05-15 09:33:07	ga_ls8c_ard_3-2-1_092087_2023-05-15_final
2023-05-15 09:33:31	ga_ls8c_ard_3-2-1_092088_2023-05-15_final
2023-05-17 09:21:09	ga_ls8c_ard_3-2-1_090088_2023-05-16_final
2023-05-20 09:51:40	ga_ls8c_ard_3-2-1_095087_2023-05-20_final
2023-05-24 09:26:58	ga_ls8c_ard_3-2-1_091087_2023-05-23_final
2023-05-24 09:27:22	ga_ls8c_ard_3-2-1_091088_2023-05-23_final
2023-05-26 09:15:01	ga_ls8c_ard_3-2-1_089088_2023-05-25_final
2023-05-29 09:45:31	ga_ls8c_ard_3-2-1_094087_2023-05-29_final
2023-05-31 09:33:10	ga_ls8c_ard_3-2-1_092087_2023-05-31_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