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
2016-10-13 09:15:38	ga_ls8c_ard_3-0-0_089087_2016-10-12_final
2017-01-17 09:15:27	ga_ls8c_ard_3-0-0_089087_2017-01-16_final
2017-02-02 09:15:21	ga_ls8c_ard_3-0-0_089087_2017-02-01_final
2017-02-18 09:15:14	ga_ls8c_ard_3-0-0_089087_2017-02-17_final
2017-03-06 09:15:07	ga_ls8c_ard_3-0-0_089087_2017-03-05_final
2017-04-07 09:14:50	ga_ls8c_ard_3-0-0_089087_2017-04-06_final
2017-04-23 09:14:41	ga_ls8c_ard_3-0-0_089087_2017-04-22_final
2017-05-09 09:14:40	ga_ls8c_ard_3-0-0_089087_2017-05-08_final
2017-06-10 09:14:59	ga_ls8c_ard_3-0-0_089087_2017-06-09_final
2017-06-26 09:15:04	ga_ls8c_ard_3-0-0_089087_2017-06-25_final
2017-07-28 09:15:15	ga_ls8c_ard_3-0-0_089087_2017-07-27_final
2017-08-29 09:15:24	ga_ls8c_ard_3-0-0_089087_2017-08-28_final
2017-09-30 09:15:32	ga_ls8c_ard_3-0-0_089087_2017-09-29_final
2017-11-17 09:15:33	ga_ls8c_ard_3-0-0_089087_2017-11-16_final
2017-12-03 09:15:27	ga_ls8c_ard_3-0-0_089087_2017-12-02_final
2017-12-19 09:15:30	ga_ls8c_ard_3-0-0_089087_2017-12-18_final
2018-01-04 09:15:27	ga_ls8c_ard_3-0-0_089087_2018-01-03_final
2018-01-20 09:15:19	ga_ls8c_ard_3-0-0_089087_2018-01-19_final
2018-02-21 09:15:05	ga_ls8c_ard_3-0-0_089087_2018-02-20_final
2018-03-09 09:14:56	ga_ls8c_ard_3-0-0_089087_2018-03-08_final
2018-03-25 09:14:49	ga_ls8c_ard_3-0-0_089087_2018-03-24_final
2018-04-10 09:14:41	ga_ls8c_ard_3-0-0_089087_2018-04-09_final
2018-04-26 09:14:31	ga_ls8c_ard_3-0-0_089087_2018-04-25_final
2018-05-12 09:14:22	ga_ls8c_ard_3-0-0_089087_2018-05-11_final
2018-05-28 09:14:09	ga_ls8c_ard_3-0-0_089087_2018-05-27_final
2018-06-13 09:14:10	ga_ls8c_ard_3-0-0_089087_2018-06-12_final
2018-07-15 09:14:29	ga_ls8c_ard_3-0-0_089087_2018-07-14_final
2018-07-31 09:14:36	ga_ls8c_ard_3-0-0_089087_2018-07-30_final
2018-08-16 09:14:45	ga_ls8c_ard_3-0-0_089087_2018-08-15_final
2018-09-01 09:14:52	ga_ls8c_ard_3-0-0_089087_2018-08-31_final
2018-10-03 09:15:04	ga_ls8c_ard_3-0-0_089087_2018-10-02_final
2018-10-19 09:15:10	ga_ls8c_ard_3-0-0_089087_2018-10-18_final
2018-11-04 09:15:14	ga_ls8c_ard_3-0-0_089087_2018-11-03_final
2018-11-20 09:15:15	ga_ls8c_ard_3-0-0_089087_2018-11-19_final
2018-12-06 09:15:12	ga_ls8c_ard_3-0-0_089087_2018-12-05_final
2018-12-22 09:15:11	ga_ls8c_ard_3-0-0_089087_2018-12-21_final
2019-01-07 09:15:10	ga_ls8c_ard_3-0-0_089087_2019-01-06_final
2019-01-23 09:15:07	ga_ls8c_ard_3-0-0_089087_2019-01-22_final
2019-02-08 09:15:04	ga_ls8c_ard_3-0-0_089087_2019-02-07_final
2019-02-24 09:15:01	ga_ls8c_ard_3-0-0_089087_2019-02-23_final
2019-03-12 09:14:55	ga_ls8c_ard_3-1-0_089087_2019-03-11_final
2019-03-28 09:14:52	ga_ls8c_ard_3-1-0_089087_2019-03-27_final
2019-04-13 09:14:47	ga_ls8c_ard_3-1-0_089087_2019-04-12_final
2019-04-29 09:14:43	ga_ls8c_ard_3-0-0_089087_2019-04-28_final
2019-05-15 09:14:53	ga_ls8c_ard_3-0-0_089087_2019-05-14_final
2019-05-31 09:15:02	ga_ls8c_ard_3-0-0_089087_2019-05-30_final
2019-06-16 09:15:08	ga_ls8c_ard_3-1-0_089087_2019-06-15_final
2019-07-02 09:15:13	ga_ls8c_ard_3-1-0_089087_2019-07-01_final
2019-07-18 09:15:15	ga_ls8c_ard_3-1-0_089087_2019-07-17_final
2019-08-03 09:15:22	ga_ls8c_ard_3-1-0_089087_2019-08-02_final
2019-08-19 09:15:28	ga_ls8c_ard_3-1-0_089087_2019-08-18_final
2019-09-04 09:15:31	ga_ls8c_ard_3-1-0_089087_2019-09-03_final
2019-09-20 09:15:37	ga_ls8c_ard_3-1-0_089087_2019-09-19_final
2019-10-06 09:15:41	ga_ls8c_ard_3-1-0_089087_2019-10-05_final
2019-10-22 09:15:42	ga_ls8c_ard_3-1-0_089087_2019-10-21_final
2019-11-07 09:15:41	ga_ls8c_ard_3-1-0_089087_2019-11-06_final
2019-11-23 09:15:38	ga_ls8c_ard_3-1-0_089087_2019-11-22_final
2019-12-09 09:15:37	ga_ls8c_ard_3-1-0_089087_2019-12-08_final
2019-12-25 09:15:34	ga_ls8c_ard_3-1-0_089087_2019-12-24_final
2020-01-10 09:15:30	ga_ls8c_ard_3-1-0_089087_2020-01-09_final
2020-01-26 09:15:26	ga_ls8c_ard_3-1-0_089087_2020-01-25_final
2020-02-11 09:15:21	ga_ls8c_ard_3-1-0_089087_2020-02-10_final
2020-02-27 09:15:17	ga_ls8c_ard_3-1-0_089087_2020-02-26_final
2020-03-14 09:15:11	ga_ls8c_ard_3-1-0_089087_2020-03-13_final
2020-03-30 09:15:02	ga_ls8c_ard_3-1-0_089087_2020-03-29_final
2020-04-15 09:14:55	ga_ls8c_ard_3-1-0_089087_2020-04-14_final
2020-05-01 09:14:46	ga_ls8c_ard_3-1-0_089087_2020-04-30_final
2020-05-17 09:14:44	ga_ls8c_ard_3-1-0_089087_2020-05-16_final
2020-06-02 09:14:49	ga_ls8c_ard_3-1-0_089087_2020-06-01_final
2020-06-18 09:14:59	ga_ls8c_ard_3-1-0_089087_2020-06-17_final
2020-07-04 09:15:07	ga_ls8c_ard_3-1-0_089087_2020-07-03_final
2020-07-20 09:15:12	ga_ls8c_ard_3-1-0_089087_2020-07-19_final
2020-08-05 09:15:16	ga_ls8c_ard_3-1-0_089087_2020-08-04_final
2020-08-21 09:15:22	ga_ls8c_ard_3-1-0_089087_2020-08-20_final
2020-09-06 09:15:30	ga_ls8c_ard_3-1-0_089087_2020-09-05_final
2020-09-22 09:15:35	ga_ls8c_ard_3-1-0_089087_2020-09-21_final
2020-10-08 09:15:38	ga_ls8c_ard_3-1-0_089087_2020-10-07_final
2020-10-24 09:15:38	ga_ls8c_ard_3-1-0_089087_2020-10-23_final
2020-11-25 09:15:38	ga_ls8c_ard_3-1-0_089087_2020-11-24_final
2020-12-11 09:15:40	ga_ls8c_ard_3-1-0_089087_2020-12-10_final
2020-12-27 09:15:37	ga_ls8c_ard_3-2-0_089087_2020-12-26_final
2021-01-12 09:15:31	ga_ls8c_ard_3-2-0_089087_2021-01-11_final
2021-01-28 09:15:27	ga_ls8c_ard_3-2-0_089087_2021-01-27_final
2021-02-13 09:15:24	ga_ls8c_ard_3-2-0_089087_2021-02-12_final
2021-03-01 09:15:18	ga_ls8c_ard_3-2-0_089087_2021-02-28_final
2021-03-17 09:15:08	ga_ls8c_ard_3-2-0_089087_2021-03-16_final
2021-04-02 09:15:05	ga_ls8c_ard_3-2-0_089087_2021-04-01_final
2021-04-18 09:14:59	ga_ls8c_ard_3-2-0_089087_2021-04-17_final
2021-05-04 09:14:49	ga_ls8c_ard_3-2-0_089087_2021-05-03_final
2021-05-20 09:14:57	ga_ls8c_ard_3-2-0_089087_2021-05-19_final
2021-06-05 09:15:05	ga_ls8c_ard_3-2-0_089087_2021-06-04_final
2021-06-21 09:15:10	ga_ls8c_ard_3-2-0_089087_2021-06-20_final
2021-07-07 09:15:13	ga_ls8c_ard_3-2-0_089087_2021-07-06_final
2021-07-23 09:15:17	ga_ls8c_ard_3-2-0_089087_2021-07-22_final
2021-08-08 09:15:25	ga_ls8c_ard_3-2-0_089087_2021-08-07_final
2021-08-24 09:15:30	ga_ls8c_ard_3-2-0_089087_2021-08-23_final
2021-09-09 09:15:34	ga_ls8c_ard_3-2-0_089087_2021-09-08_final
2021-09-25 09:15:37	ga_ls8c_ard_3-2-0_089087_2021-09-24_final
2021-10-11 09:15:43	ga_ls8c_ard_3-2-0_089087_2021-10-10_final
2021-10-27 09:15:44	ga_ls8c_ard_3-2-0_089087_2021-10-26_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