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
2015-06-15 09:44:53	ga_ls8c_ard_3-0-0_095070_2015-06-15_final
2015-09-19 09:45:34	ga_ls8c_ard_3-0-0_095070_2015-09-19_final
2016-01-09 09:45:40	ga_ls8c_ard_3-0-0_095070_2016-01-09_final
2016-02-10 09:45:36	ga_ls8c_ard_3-0-0_095070_2016-02-10_final
2016-11-24 09:45:57	ga_ls8c_ard_3-0-0_095070_2016-11-24_final
2017-04-17 09:45:03	ga_ls8c_ard_3-0-0_095070_2017-04-17_final
2017-06-04 09:45:14	ga_ls8c_ard_3-0-0_095070_2017-06-04_final
2017-06-20 09:45:20	ga_ls8c_ard_3-0-0_095070_2017-06-20_final
2017-07-06 09:45:24	ga_ls8c_ard_3-0-0_095070_2017-07-06_final
2017-07-22 09:45:29	ga_ls8c_ard_3-0-0_095070_2017-07-22_final
2017-08-07 09:45:36	ga_ls8c_ard_3-0-0_095070_2017-08-07_final
2017-08-23 09:45:41	ga_ls8c_ard_3-0-0_095070_2017-08-23_final
2017-09-08 09:45:43	ga_ls8c_ard_3-0-0_095070_2017-09-08_final
2017-09-24 09:45:47	ga_ls8c_ard_3-0-0_095070_2017-09-24_final
2017-10-10 09:45:53	ga_ls8c_ard_3-0-0_095070_2017-10-10_final
2017-10-26 09:45:55	ga_ls8c_ard_3-0-0_095070_2017-10-26_final
2017-11-11 09:45:52	ga_ls8c_ard_3-0-0_095070_2017-11-11_final
2017-11-27 09:45:46	ga_ls8c_ard_3-0-0_095070_2017-11-27_final
2017-12-13 09:45:46	ga_ls8c_ard_3-0-0_095070_2017-12-13_final
2017-12-29 09:45:46	ga_ls8c_ard_3-0-0_095070_2017-12-29_final
2018-01-14 09:45:40	ga_ls8c_ard_3-0-0_095070_2018-01-14_final
2018-01-30 09:45:31	ga_ls8c_ard_3-0-0_095070_2018-01-30_final
2018-02-15 09:45:25	ga_ls8c_ard_3-0-0_095070_2018-02-15_final
2018-03-03 09:45:18	ga_ls8c_ard_3-0-0_095070_2018-03-03_final
2018-03-19 09:45:09	ga_ls8c_ard_3-0-0_095070_2018-03-19_final
2018-04-04 09:45:02	ga_ls8c_ard_3-0-0_095070_2018-04-04_final
2018-04-20 09:44:52	ga_ls8c_ard_3-0-0_095070_2018-04-20_final
2018-05-06 09:44:43	ga_ls8c_ard_3-0-0_095070_2018-05-06_final
2018-05-22 09:44:32	ga_ls8c_ard_3-0-0_095070_2018-05-22_final
2018-06-07 09:44:24	ga_ls8c_ard_3-0-0_095070_2018-06-07_final
2018-06-23 09:44:35	ga_ls8c_ard_3-0-0_095070_2018-06-23_final
2018-07-09 09:44:44	ga_ls8c_ard_3-0-0_095070_2018-07-09_final
2018-07-25 09:44:50	ga_ls8c_ard_3-0-0_095070_2018-07-25_final
2018-08-10 09:44:59	ga_ls8c_ard_3-0-0_095070_2018-08-10_final
2018-08-26 09:45:07	ga_ls8c_ard_3-0-0_095070_2018-08-26_final
2018-09-11 09:45:13	ga_ls8c_ard_3-0-0_095070_2018-09-11_final
2018-09-27 09:45:18	ga_ls8c_ard_3-0-0_095070_2018-09-27_final
2018-10-13 09:45:26	ga_ls8c_ard_3-0-0_095070_2018-10-13_final
2018-10-29 09:45:31	ga_ls8c_ard_3-0-0_095070_2018-10-29_final
2018-11-14 09:45:32	ga_ls8c_ard_3-0-0_095070_2018-11-14_final
2018-11-30 09:45:31	ga_ls8c_ard_3-0-0_095070_2018-11-30_final
2018-12-16 09:45:28	ga_ls8c_ard_3-0-0_095070_2018-12-16_final
2019-01-01 09:45:29	ga_ls8c_ard_3-0-0_095070_2019-01-01_final
2019-01-17 09:45:26	ga_ls8c_ard_3-0-0_095070_2019-01-17_final
2019-02-02 09:45:22	ga_ls8c_ard_3-0-0_095070_2019-02-02_final
2019-02-18 09:45:20	ga_ls8c_ard_3-0-0_095070_2019-02-18_final
2019-03-06 09:45:16	ga_ls8c_ard_3-0-0_095070_2019-03-06_final
2019-03-22 09:45:11	ga_ls8c_ard_3-1-0_095070_2019-03-22_final
2019-04-07 09:45:07	ga_ls8c_ard_3-1-0_095070_2019-04-07_final
2019-04-23 09:45:01	ga_ls8c_ard_3-0-0_095070_2019-04-23_final
2019-05-09 09:45:06	ga_ls8c_ard_3-0-0_095070_2019-05-09_final
2019-05-25 09:45:16	ga_ls8c_ard_3-0-0_095070_2019-05-25_final
2019-06-10 09:45:24	ga_ls8c_ard_3-0-0_095070_2019-06-10_final
2019-06-26 09:45:29	ga_ls8c_ard_3-1-0_095070_2019-06-26_final
2019-07-12 09:45:33	ga_ls8c_ard_3-1-0_095070_2019-07-12_final
2019-07-28 09:45:38	ga_ls8c_ard_3-1-0_095070_2019-07-28_final
2019-08-13 09:45:44	ga_ls8c_ard_3-1-0_095070_2019-08-13_final
2019-08-29 09:45:48	ga_ls8c_ard_3-1-0_095070_2019-08-29_final
2019-09-14 09:45:52	ga_ls8c_ard_3-1-0_095070_2019-09-14_final
2019-09-30 09:45:57	ga_ls8c_ard_3-1-0_095070_2019-09-30_final
2019-10-16 09:46:00	ga_ls8c_ard_3-1-0_095070_2019-10-16_final
2019-11-01 09:46:00	ga_ls8c_ard_3-1-0_095070_2019-11-01_final
2019-11-17 09:45:57	ga_ls8c_ard_3-1-0_095070_2019-11-17_final
2019-12-03 09:45:55	ga_ls8c_ard_3-1-0_095070_2019-12-03_final
2020-01-04 09:45:49	ga_ls8c_ard_3-1-0_095070_2020-01-04_final
2020-01-20 09:45:46	ga_ls8c_ard_3-1-0_095070_2020-01-20_final
2020-02-05 09:45:40	ga_ls8c_ard_3-1-0_095070_2020-02-05_final
2020-02-21 09:45:37	ga_ls8c_ard_3-1-0_095070_2020-02-21_final
2020-03-08 09:45:31	ga_ls8c_ard_3-1-0_095070_2020-03-08_final
2020-03-24 09:45:23	ga_ls8c_ard_3-1-0_095070_2020-03-24_final
2020-04-09 09:45:15	ga_ls8c_ard_3-1-0_095070_2020-04-09_final
2020-04-25 09:45:08	ga_ls8c_ard_3-1-0_095070_2020-04-25_final
2020-05-11 09:45:00	ga_ls8c_ard_3-1-0_095070_2020-05-11_final
2020-05-27 09:45:04	ga_ls8c_ard_3-1-0_095070_2020-05-27_final
2020-06-12 09:45:13	ga_ls8c_ard_3-1-0_095070_2020-06-12_final
2020-06-28 09:45:22	ga_ls8c_ard_3-1-0_095070_2020-06-28_final
2020-07-14 09:45:28	ga_ls8c_ard_3-1-0_095070_2020-07-14_final
2020-07-30 09:45:33	ga_ls8c_ard_3-1-0_095070_2020-07-30_final
2020-08-31 09:45:45	ga_ls8c_ard_3-1-0_095070_2020-08-31_final
2020-09-16 09:45:51	ga_ls8c_ard_3-1-0_095070_2020-09-16_final
2020-10-02 09:45:55	ga_ls8c_ard_3-1-0_095070_2020-10-02_final
2020-10-18 09:45:57	ga_ls8c_ard_3-1-0_095070_2020-10-18_final
2020-11-19 09:45:55	ga_ls8c_ard_3-1-0_095070_2020-11-19_final
2020-12-05 09:45:58	ga_ls8c_ard_3-1-0_095070_2020-12-05_final
2021-03-11 09:45:30	ga_ls8c_ard_3-2-0_095070_2021-03-11_final
2021-03-27 09:45:24	ga_ls8c_ard_3-2-0_095070_2021-03-27_final
2021-04-12 09:45:19	ga_ls8c_ard_3-2-0_095070_2021-04-12_final
2021-04-28 09:45:11	ga_ls8c_ard_3-2-0_095070_2021-04-28_final
2021-05-14 09:45:11	ga_ls8c_ard_3-2-0_095070_2021-05-14_final
2021-05-30 09:45:20	ga_ls8c_ard_3-2-0_095070_2021-05-30_final
2021-06-15 09:45:26	ga_ls8c_ard_3-2-0_095070_2021-06-15_final
2021-07-01 09:45:30	ga_ls8c_ard_3-2-0_095070_2021-07-01_final
2021-07-17 09:45:32	ga_ls8c_ard_3-2-0_095070_2021-07-17_final
2021-08-02 09:45:40	ga_ls8c_ard_3-2-0_095070_2021-08-02_final
2021-08-18 09:45:46	ga_ls8c_ard_3-2-0_095070_2021-08-18_final
2021-09-03 09:45:51	ga_ls8c_ard_3-2-0_095070_2021-09-03_final
2021-09-19 09:45:54	ga_ls8c_ard_3-2-0_095070_2021-09-19_final
2021-10-05 09:45:59	ga_ls8c_ard_3-2-0_095070_2021-10-05_final
2021-10-21 09:46:02	ga_ls8c_ard_3-2-0_095070_2021-10-21_final
2021-11-06 09:46:01	ga_ls8c_ard_3-2-0_095070_2021-11-06_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years