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
2016-12-03 09:38:33	ga_ls8c_ard_3-0-0_094067_2016-12-03_final
2017-02-21 09:38:08	ga_ls8c_ard_3-0-0_094067_2017-02-21_final
2017-03-09 09:38:01	ga_ls8c_ard_3-0-0_094067_2017-03-09_final
2017-03-25 09:37:51	ga_ls8c_ard_3-0-0_094067_2017-03-25_final
2017-05-28 09:37:48	ga_ls8c_ard_3-0-0_094067_2017-05-28_final
2017-06-13 09:37:55	ga_ls8c_ard_3-0-0_094067_2017-06-13_final
2017-06-29 09:38:00	ga_ls8c_ard_3-0-0_094067_2017-06-29_final
2017-07-31 09:38:11	ga_ls8c_ard_3-0-0_094067_2017-07-31_final
2017-09-01 09:38:20	ga_ls8c_ard_3-0-0_094067_2017-09-01_final
2017-09-17 09:38:21	ga_ls8c_ard_3-0-0_094067_2017-09-17_final
2017-10-03 09:38:28	ga_ls8c_ard_3-0-0_094067_2017-10-03_final
2017-11-04 09:38:31	ga_ls8c_ard_3-0-0_094067_2017-11-04_final
2017-11-20 09:38:27	ga_ls8c_ard_3-0-0_094067_2017-11-20_final
2017-12-06 09:38:22	ga_ls8c_ard_3-0-0_094067_2017-12-06_final
2017-12-22 09:38:26	ga_ls8c_ard_3-0-0_094067_2017-12-22_final
2018-01-07 09:38:21	ga_ls8c_ard_3-0-0_094067_2018-01-07_final
2018-01-23 09:38:12	ga_ls8c_ard_3-0-0_094067_2018-01-23_final
2018-02-08 09:38:04	ga_ls8c_ard_3-0-0_094067_2018-02-08_final
2018-03-12 09:37:50	ga_ls8c_ard_3-0-0_094067_2018-03-12_final
2018-03-28 09:37:43	ga_ls8c_ard_3-0-0_094067_2018-03-28_final
2018-04-29 09:37:25	ga_ls8c_ard_3-0-0_094067_2018-04-29_final
2018-05-31 09:37:02	ga_ls8c_ard_3-0-0_094067_2018-05-31_final
2018-06-16 09:37:08	ga_ls8c_ard_3-0-0_094067_2018-06-16_final
2018-07-02 09:37:17	ga_ls8c_ard_3-0-0_094067_2018-07-02_final
2018-07-18 09:37:25	ga_ls8c_ard_3-0-0_094067_2018-07-18_final
2018-08-03 09:37:33	ga_ls8c_ard_3-0-0_094067_2018-08-03_final
2018-08-19 09:37:41	ga_ls8c_ard_3-0-0_094067_2018-08-19_final
2018-09-04 09:37:48	ga_ls8c_ard_3-0-0_094067_2018-09-04_final
2018-09-20 09:37:52	ga_ls8c_ard_3-0-0_094067_2018-09-20_final
2018-10-06 09:38:00	ga_ls8c_ard_3-0-0_094067_2018-10-06_final
2018-10-22 09:38:06	ga_ls8c_ard_3-0-0_094067_2018-10-22_final
2018-11-07 09:38:09	ga_ls8c_ard_3-0-0_094067_2018-11-07_final
2018-11-23 09:38:10	ga_ls8c_ard_3-0-0_094067_2018-11-23_final
2018-12-09 09:38:07	ga_ls8c_ard_3-0-0_094067_2018-12-09_final
2018-12-25 09:38:06	ga_ls8c_ard_3-0-0_094067_2018-12-25_final
2019-01-10 09:38:05	ga_ls8c_ard_3-0-0_094067_2019-01-10_final
2019-01-26 09:38:01	ga_ls8c_ard_3-0-0_094067_2019-01-26_final
2019-02-11 09:37:59	ga_ls8c_ard_3-0-0_094067_2019-02-11_final
2019-02-27 09:37:55	ga_ls8c_ard_3-0-0_094067_2019-02-27_final
2019-03-15 09:37:49	ga_ls8c_ard_3-1-0_094067_2019-03-15_final
2019-03-31 09:37:46	ga_ls8c_ard_3-1-0_094067_2019-03-31_final
2019-04-16 09:37:41	ga_ls8c_ard_3-1-0_094067_2019-04-16_final
2019-05-02 09:37:39	ga_ls8c_ard_3-0-0_094067_2019-05-02_final
2019-05-18 09:37:50	ga_ls8c_ard_3-0-0_094067_2019-05-18_final
2019-06-03 09:37:58	ga_ls8c_ard_3-0-0_094067_2019-06-03_final
2019-06-19 09:38:05	ga_ls8c_ard_3-1-0_094067_2019-06-19_final
2019-07-05 09:38:09	ga_ls8c_ard_3-1-0_094067_2019-07-05_final
2019-07-21 09:38:12	ga_ls8c_ard_3-1-0_094067_2019-07-21_final
2019-08-06 09:38:19	ga_ls8c_ard_3-1-0_094067_2019-08-06_final
2019-08-22 09:38:24	ga_ls8c_ard_3-1-0_094067_2019-08-22_final
2019-09-07 09:38:27	ga_ls8c_ard_3-1-0_094067_2019-09-07_final
2019-09-23 09:38:33	ga_ls8c_ard_3-1-0_094067_2019-09-23_final
2019-10-09 09:38:36	ga_ls8c_ard_3-1-0_094067_2019-10-09_final
2019-10-25 09:38:38	ga_ls8c_ard_3-1-0_094067_2019-10-25_final
2019-11-10 09:38:36	ga_ls8c_ard_3-1-0_094067_2019-11-10_final
2019-11-26 09:38:33	ga_ls8c_ard_3-1-0_094067_2019-11-26_final
2019-12-12 09:38:32	ga_ls8c_ard_3-1-0_094067_2019-12-12_final
2019-12-28 09:38:28	ga_ls8c_ard_3-1-0_094067_2019-12-28_final
2020-01-13 09:38:25	ga_ls8c_ard_3-1-0_094067_2020-01-13_final
2020-01-29 09:38:20	ga_ls8c_ard_3-1-0_094067_2020-01-29_final
2020-02-14 09:38:16	ga_ls8c_ard_3-1-0_094067_2020-02-14_final
2020-03-01 09:38:11	ga_ls8c_ard_3-1-0_094067_2020-03-01_final
2020-03-17 09:38:04	ga_ls8c_ard_3-1-0_094067_2020-03-17_final
2020-04-02 09:37:55	ga_ls8c_ard_3-1-0_094067_2020-04-02_final
2020-04-18 09:37:48	ga_ls8c_ard_3-1-0_094067_2020-04-18_final
2020-05-04 09:37:40	ga_ls8c_ard_3-1-0_094067_2020-05-04_final
2020-05-20 09:37:40	ga_ls8c_ard_3-1-0_094067_2020-05-20_final
2020-06-05 09:37:46	ga_ls8c_ard_3-1-0_094067_2020-06-05_final
2020-06-21 09:37:56	ga_ls8c_ard_3-1-0_094067_2020-06-21_final
2020-07-07 09:38:03	ga_ls8c_ard_3-1-0_094067_2020-07-07_final
2020-07-23 09:38:08	ga_ls8c_ard_3-1-0_094067_2020-07-23_final
2020-08-08 09:38:12	ga_ls8c_ard_3-1-0_094067_2020-08-08_final
2020-08-24 09:38:19	ga_ls8c_ard_3-1-0_094067_2020-08-24_final
2020-09-09 09:38:26	ga_ls8c_ard_3-1-0_094067_2020-09-09_final
2020-09-25 09:38:31	ga_ls8c_ard_3-1-0_094067_2020-09-25_final
2020-10-11 09:38:34	ga_ls8c_ard_3-1-0_094067_2020-10-11_final
2020-10-27 09:38:33	ga_ls8c_ard_3-1-0_094067_2020-10-27_final
2020-11-12 09:38:30	ga_ls8c_ard_3-1-0_094067_2020-11-12_final
2020-11-28 09:38:34	ga_ls8c_ard_3-1-0_094067_2020-11-28_final
2020-12-14 09:38:35	ga_ls8c_ard_3-1-0_094067_2020-12-14_final
2020-12-30 09:38:31	ga_ls8c_ard_3-2-0_094067_2020-12-30_final
2021-01-15 09:38:24	ga_ls8c_ard_3-2-0_094067_2021-01-15_final
2021-01-31 09:38:22	ga_ls8c_ard_3-2-0_094067_2021-01-31_final
2021-02-16 09:38:18	ga_ls8c_ard_3-2-0_094067_2021-02-16_final
2021-03-04 09:38:11	ga_ls8c_ard_3-2-0_094067_2021-03-04_final
2021-03-20 09:38:03	ga_ls8c_ard_3-2-0_094067_2021-03-20_final
2021-04-05 09:37:59	ga_ls8c_ard_3-2-0_094067_2021-04-05_final
2021-04-21 09:37:52	ga_ls8c_ard_3-2-0_094067_2021-04-21_final
2021-05-07 09:37:43	ga_ls8c_ard_3-2-0_094067_2021-05-07_final
2021-05-23 09:37:54	ga_ls8c_ard_3-2-0_094067_2021-05-23_final
2021-06-08 09:38:01	ga_ls8c_ard_3-2-0_094067_2021-06-08_final
2021-06-24 09:38:06	ga_ls8c_ard_3-2-0_094067_2021-06-24_final
2021-07-10 09:38:08	ga_ls8c_ard_3-2-0_094067_2021-07-10_final
2021-07-26 09:38:14	ga_ls8c_ard_3-2-0_094067_2021-07-26_final
2021-08-11 09:38:21	ga_ls8c_ard_3-2-0_094067_2021-08-11_final
2021-08-27 09:38:26	ga_ls8c_ard_3-2-0_094067_2021-08-27_final
2021-09-12 09:38:30	ga_ls8c_ard_3-2-0_094067_2021-09-12_final
2021-09-28 09:38:34	ga_ls8c_ard_3-2-0_094067_2021-09-28_final
2021-10-14 09:38:39	ga_ls8c_ard_3-2-0_094067_2021-10-14_final
2021-10-30 09:38:39	ga_ls8c_ard_3-2-0_094067_2021-10-30_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