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
2015-01-10 09:28:55	ga_ls8c_ard_3-0-0_091090_2015-01-09_final
2015-01-12 09:16:33	ga_ls8c_ard_3-0-0_089090_2015-01-11_final
2015-01-19 09:22:41	ga_ls8c_ard_3-0-0_090090_2015-01-18_final
2015-01-26 09:28:49	ga_ls8c_ard_3-0-0_091090_2015-01-25_final
2015-01-28 09:16:28	ga_ls8c_ard_3-0-0_089090_2015-01-27_final
2015-02-04 09:22:37	ga_ls8c_ard_3-0-0_090090_2015-02-03_final
2015-02-20 09:22:30	ga_ls8c_ard_3-0-0_090090_2015-02-19_final
2015-03-31 09:28:42	ga_ls8c_ard_3-0-0_091091_2015-03-30_final
2015-04-16 09:28:39	ga_ls8c_ard_3-0-0_091091_2015-04-15_final
2015-04-25 09:22:25	ga_ls8c_ard_3-0-0_090091_2015-04-24_final
2015-05-18 09:27:54	ga_ls8c_ard_3-0-0_091090_2015-05-17_final
2015-05-20 09:15:33	ga_ls8c_ard_3-0-0_089090_2015-05-19_final
2015-05-25 09:34:07	ga_ls8c_ard_3-0-0_092090_2015-05-25_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
2015-06-03 09:28:01	ga_ls8c_ard_3-0-0_091090_2015-06-02_final
2015-06-03 09:28:25	ga_ls8c_ard_3-0-0_091091_2015-06-02_final
2015-06-05 09:15:41	ga_ls8c_ard_3-0-0_089090_2015-06-04_final
2015-06-10 09:34:17	ga_ls8c_ard_3-0-0_092090_2015-06-10_final
2015-06-12 09:22:21	ga_ls8c_ard_3-0-0_090091_2015-06-11_final
2015-06-19 09:28:10	ga_ls8c_ard_3-0-0_091090_2015-06-18_final
2015-06-19 09:28:34	ga_ls8c_ard_3-0-0_091091_2015-06-18_final
2015-06-21 09:15:49	ga_ls8c_ard_3-0-0_089090_2015-06-20_final
2017-03-20 09:28:56	ga_ls8c_ard_3-0-0_091091_2017-03-19_final
2017-03-29 09:22:41	ga_ls8c_ard_3-0-0_090091_2017-03-28_final
2017-04-05 09:28:49	ga_ls8c_ard_3-0-0_091091_2017-04-04_final
2017-04-14 09:22:33	ga_ls8c_ard_3-0-0_090091_2017-04-13_final
2017-04-21 09:28:40	ga_ls8c_ard_3-0-0_091091_2017-04-20_final
2017-04-30 09:21:59	ga_ls8c_ard_3-0-0_090090_2017-04-29_final
2017-04-30 09:22:23	ga_ls8c_ard_3-0-0_090091_2017-04-29_final
2017-05-07 09:28:12	ga_ls8c_ard_3-0-0_091090_2017-05-06_final
2017-05-07 09:28:36	ga_ls8c_ard_3-0-0_091091_2017-05-06_final
2017-05-14 09:34:28	ga_ls8c_ard_3-0-0_092090_2017-05-14_final
2017-05-16 09:22:08	ga_ls8c_ard_3-0-0_090090_2017-05-15_final
2017-05-16 09:22:32	ga_ls8c_ard_3-0-0_090091_2017-05-15_final
2017-05-23 09:28:23	ga_ls8c_ard_3-0-0_091090_2017-05-22_final
2017-05-23 09:28:47	ga_ls8c_ard_3-0-0_091091_2017-05-22_final
2017-05-25 09:16:03	ga_ls8c_ard_3-0-0_089090_2017-05-24_final
2017-06-08 09:28:31	ga_ls8c_ard_3-0-0_091090_2017-06-07_final
2017-06-08 09:28:55	ga_ls8c_ard_3-0-0_091091_2017-06-07_final
2017-06-17 09:22:24	ga_ls8c_ard_3-0-0_090090_2017-06-16_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
2017-07-01 09:34:49	ga_ls8c_ard_3-0-0_092090_2017-07-01_final
2017-07-03 09:22:28	ga_ls8c_ard_3-0-0_090090_2017-07-02_final
2017-07-03 09:22:52	ga_ls8c_ard_3-0-0_090091_2017-07-02_final
2017-07-10 09:28:40	ga_ls8c_ard_3-0-0_091090_2017-07-09_final
2017-07-10 09:29:04	ga_ls8c_ard_3-0-0_091091_2017-07-09_final
2017-07-12 09:16:19	ga_ls8c_ard_3-0-0_089090_2017-07-11_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
2017-07-28 09:16:26	ga_ls8c_ard_3-0-0_089090_2017-07-27_final
2017-08-02 09:35:01	ga_ls8c_ard_3-0-0_092090_2017-08-02_final
2017-08-04 09:22:40	ga_ls8c_ard_3-0-0_090090_2017-08-03_final
2017-08-04 09:23:04	ga_ls8c_ard_3-0-0_090091_2017-08-03_final
2017-08-11 09:28:54	ga_ls8c_ard_3-0-0_091090_2017-08-10_final
2017-08-11 09:29:18	ga_ls8c_ard_3-0-0_091091_2017-08-10_final
2017-08-13 09:16:33	ga_ls8c_ard_3-0-0_089090_2017-08-12_final
2017-08-18 09:35:06	ga_ls8c_ard_3-0-0_092090_2017-08-18_final
2017-08-20 09:22:45	ga_ls8c_ard_3-0-0_090090_2017-08-19_final
2017-08-20 09:23:09	ga_ls8c_ard_3-0-0_090091_2017-08-19_final
2017-09-03 09:35:09	ga_ls8c_ard_3-0-0_092090_2017-09-03_final
2017-09-12 09:28:58	ga_ls8c_ard_3-0-0_091090_2017-09-11_final
2017-09-12 09:29:22	ga_ls8c_ard_3-0-0_091091_2017-09-11_final
2017-09-21 09:22:51	ga_ls8c_ard_3-0-0_090090_2017-09-20_final
2017-09-21 09:23:15	ga_ls8c_ard_3-0-0_090091_2017-09-20_final
2017-09-30 09:16:44	ga_ls8c_ard_3-0-0_089090_2017-09-29_final
2017-10-14 09:29:33	ga_ls8c_ard_3-0-0_091091_2017-10-13_final
2017-10-16 09:16:48	ga_ls8c_ard_3-0-0_089090_2017-10-15_final
2017-11-06 09:35:20	ga_ls8c_ard_3-0-0_092090_2017-11-06_final
2017-12-10 09:23:14	ga_ls8c_ard_3-0-0_090091_2017-12-09_final
2018-01-11 09:22:46	ga_ls8c_ard_3-0-0_090090_2018-01-10_final
2018-01-11 09:23:10	ga_ls8c_ard_3-0-0_090091_2018-01-10_final
2018-02-12 09:22:31	ga_ls8c_ard_3-0-0_090090_2018-02-11_final
2018-02-12 09:22:55	ga_ls8c_ard_3-0-0_090091_2018-02-11_final
2018-04-08 09:28:39	ga_ls8c_ard_3-0-0_091091_2018-04-07_final
2018-04-24 09:28:30	ga_ls8c_ard_3-0-0_091091_2018-04-23_final
2018-06-11 09:27:42	ga_ls8c_ard_3-0-0_091090_2018-06-10_final
2018-06-11 09:28:06	ga_ls8c_ard_3-0-0_091091_2018-06-10_final
2018-07-22 09:21:54	ga_ls8c_ard_3-0-0_090090_2018-07-21_final
2018-07-22 09:22:18	ga_ls8c_ard_3-0-0_090091_2018-07-21_final
2019-12-16 09:22:59	ga_ls8c_ard_3-2-0_090090_2019-12-15_final
2019-12-16 09:23:23	ga_ls8c_ard_3-2-0_090091_2019-12-15_final
2020-01-01 09:22:54	ga_ls8c_ard_3-1-0_090090_2019-12-31_final
2020-01-01 09:23:18	ga_ls8c_ard_3-1-0_090091_2019-12-31_final
2020-01-08 09:29:04	ga_ls8c_ard_3-1-0_091090_2020-01-07_final
2020-01-08 09:29:28	ga_ls8c_ard_3-1-0_091091_2020-01-07_final
2020-01-15 09:35:13	ga_ls8c_ard_3-1-0_092090_2020-01-15_final
2020-01-17 09:22:51	ga_ls8c_ard_3-1-0_090090_2020-01-16_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
2020-02-25 09:29:15	ga_ls8c_ard_3-1-0_091091_2020-02-24_final
2020-03-21 09:22:54	ga_ls8c_ard_3-1-0_090091_2020-03-20_final
2020-03-28 09:29:00	ga_ls8c_ard_3-1-0_091091_2020-03-27_final
2020-04-06 09:22:45	ga_ls8c_ard_3-1-0_090091_2020-04-05_final
2020-04-13 09:28:53	ga_ls8c_ard_3-1-0_091091_2020-04-12_final
2020-04-22 09:22:38	ga_ls8c_ard_3-1-0_090091_2020-04-21_final
2020-05-22 09:34:29	ga_ls8c_ard_3-1-0_092090_2020-05-22_final
2020-05-24 09:22:08	ga_ls8c_ard_3-1-0_090090_2020-05-23_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