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
2013-09-05 14:05:38	ga_ls8c_ard_3-2-1_135097_2013-09-05_interim
2013-10-07 14:05:29	ga_ls8c_ard_3-2-1_135097_2013-10-07_final
2013-10-23 14:05:23	ga_ls8c_ard_3-2-1_135097_2013-10-23_final
2013-11-24 14:05:11	ga_ls8c_ard_3-2-1_135097_2013-11-24_final
2013-12-10 14:05:12	ga_ls8c_ard_3-2-1_135097_2013-12-10_final
2014-09-08 14:03:44	ga_ls8c_ard_3-2-1_135097_2014-09-08_final
2014-09-15 14:09:55	ga_ls8c_ard_3-2-1_136097_2014-09-15_interim
2014-09-24 14:03:41	ga_ls8c_ard_3-2-1_135097_2014-09-24_final
2014-10-01 14:09:56	ga_ls8c_ard_3-2-1_136097_2014-10-01_interim
2014-10-10 14:03:48	ga_ls8c_ard_3-2-1_135097_2014-10-10_interim
2014-10-17 14:10:01	ga_ls8c_ard_3-2-1_136097_2014-10-17_interim
2014-10-26 14:03:48	ga_ls8c_ard_3-2-1_135097_2014-10-26_interim
2014-11-02 14:09:58	ga_ls8c_ard_3-2-1_136097_2014-11-02_interim
2014-11-18 14:09:58	ga_ls8c_ard_3-2-1_136097_2014-11-18_final
2014-11-27 14:03:47	ga_ls8c_ard_3-2-1_135097_2014-11-27_final
2014-12-04 14:09:57	ga_ls8c_ard_3-2-1_136097_2014-12-04_final
2014-12-13 14:03:41	ga_ls8c_ard_3-2-1_135097_2014-12-13_final
2015-09-18 14:09:44	ga_ls8c_ard_3-2-1_136097_2015-09-18_final
2015-09-27 14:03:36	ga_ls8c_ard_3-2-1_135097_2015-09-27_final
2015-10-04 14:09:48	ga_ls8c_ard_3-2-1_136097_2015-10-04_final
2015-10-13 14:03:36	ga_ls8c_ard_3-2-1_135097_2015-10-13_final
2015-11-14 14:03:42	ga_ls8c_ard_3-2-1_135097_2015-11-14_final
2015-11-30 14:03:45	ga_ls8c_ard_3-2-1_135097_2015-11-30_final
2015-12-07 14:09:54	ga_ls8c_ard_3-2-1_136097_2015-12-07_final
2015-12-16 14:03:44	ga_ls8c_ard_3-2-1_135097_2015-12-16_final
2015-12-23 14:09:55	ga_ls8c_ard_3-2-1_136097_2015-12-23_final
2016-09-20 14:10:01	ga_ls8c_ard_3-2-1_136097_2016-09-20_final
2016-09-29 14:03:49	ga_ls8c_ard_3-2-1_135097_2016-09-29_final
2016-10-06 14:10:03	ga_ls8c_ard_3-2-1_136097_2016-10-06_final
2016-12-09 14:10:05	ga_ls8c_ard_3-2-1_136097_2016-12-09_final
2018-09-19 14:03:14	ga_ls8c_ard_3-2-1_135097_2018-09-19_final
2018-09-26 14:09:28	ga_ls8c_ard_3-2-1_136097_2018-09-26_final
2018-10-05 14:03:22	ga_ls8c_ard_3-2-1_135097_2018-10-05_final
2018-10-12 14:09:36	ga_ls8c_ard_3-2-1_136097_2018-10-12_final
2018-10-21 14:03:28	ga_ls8c_ard_3-2-1_135097_2018-10-21_final
2018-11-06 14:03:31	ga_ls8c_ard_3-2-1_135097_2018-11-06_final
2018-11-22 14:03:32	ga_ls8c_ard_3-2-1_135097_2018-11-22_final
2018-11-29 14:09:42	ga_ls8c_ard_3-2-1_136097_2018-11-29_final
2018-12-08 14:03:29	ga_ls8c_ard_3-2-1_135097_2018-12-08_final
2018-12-15 14:09:39	ga_ls8c_ard_3-2-1_136097_2018-12-15_final
2018-12-24 14:03:28	ga_ls8c_ard_3-2-1_135097_2018-12-24_final
2018-12-31 14:09:39	ga_ls8c_ard_3-2-1_136097_2018-12-31_final
2019-10-08 14:03:58	ga_ls8c_ard_3-2-1_135097_2019-10-08_final
2019-10-15 14:10:10	ga_ls8c_ard_3-2-1_136097_2019-10-15_final
2019-10-24 14:03:59	ga_ls8c_ard_3-2-1_135097_2019-10-24_final
2019-10-31 14:10:10	ga_ls8c_ard_3-2-1_136097_2019-10-31_final
2019-11-09 14:03:58	ga_ls8c_ard_3-2-1_135097_2019-11-09_final
2019-11-16 14:10:07	ga_ls8c_ard_3-2-1_136097_2019-11-16_final
2019-11-25 14:03:55	ga_ls8c_ard_3-2-1_135097_2019-11-25_final
2019-12-02 14:10:06	ga_ls8c_ard_3-2-1_136097_2019-12-02_final
2019-12-11 14:03:54	ga_ls8c_ard_3-2-1_135097_2019-12-11_final
2019-12-18 14:10:04	ga_ls8c_ard_3-2-1_136097_2019-12-18_final
2020-01-12 14:03:47	ga_ls8c_ard_3-2-1_135097_2020-01-12_final
2020-01-28 14:03:42	ga_ls8c_ard_3-2-1_135097_2020-01-28_final
2020-02-04 14:09:50	ga_ls8c_ard_3-2-1_136097_2020-02-04_final
2020-02-20 14:09:47	ga_ls8c_ard_3-2-1_136097_2020-02-20_final
2020-02-29 14:03:34	ga_ls8c_ard_3-2-1_135097_2020-02-29_final
2021-09-27 14:03:56	ga_ls8c_ard_3-2-1_135097_2021-09-27_final
2021-11-21 14:10:07	ga_ls8c_ard_3-2-1_136097_2021-11-21_final
2021-12-07 14:10:08	ga_ls8c_ard_3-2-1_136097_2021-12-07_final
2021-12-23 14:10:05	ga_ls8c_ard_3-2-1_136097_2021-12-23_final
2022-01-01 14:03:50	ga_ls8c_ard_3-2-1_135097_2022-01-01_final
2022-01-08 14:10:01	ga_ls8c_ard_3-2-1_136097_2022-01-08_final
2022-01-17 14:03:48	ga_ls8c_ard_3-2-1_135097_2022-01-17_final
2022-01-24 14:09:56	ga_ls8c_ard_3-2-1_136097_2022-01-24_final
2022-02-09 14:09:53	ga_ls8c_ard_3-2-1_136097_2022-02-09_final
2022-02-18 14:03:38	ga_ls8c_ard_3-2-1_135097_2022-02-18_final
2022-03-13 14:09:44	ga_ls8c_ard_3-2-1_136097_2022-03-13_final
2022-08-29 14:04:08	ga_ls8c_ard_3-2-1_135097_2022-08-29_final
2022-09-05 14:10:20	ga_ls8c_ard_3-2-1_136097_2022-09-05_final
2022-09-14 14:04:13	ga_ls8c_ard_3-2-1_135097_2022-09-14_final
2022-09-21 14:10:25	ga_ls8c_ard_3-2-1_136097_2022-09-21_final
2022-09-30 14:04:14	ga_ls8c_ard_3-2-1_135097_2022-09-30_final
2022-10-07 14:10:22	ga_ls8c_ard_3-2-1_136097_2022-10-07_final
2022-10-16 14:04:07	ga_ls8c_ard_3-2-1_135097_2022-10-16_final
2022-10-23 14:10:23	ga_ls8c_ard_3-2-1_136097_2022-10-23_final
2022-11-08 14:10:24	ga_ls8c_ard_3-2-1_136097_2022-11-08_final
2022-11-24 14:10:19	ga_ls8c_ard_3-2-1_136097_2022-11-24_final
2022-12-10 14:10:18	ga_ls8c_ard_3-2-1_136097_2022-12-10_final
2022-12-19 14:04:01	ga_ls8c_ard_3-2-1_135097_2022-12-19_final
2023-01-04 14:04:01	ga_ls8c_ard_3-2-1_135097_2023-01-04_final
2023-01-20 14:03:54	ga_ls8c_ard_3-2-1_135097_2023-01-20_final
2023-09-01 14:03:35	ga_ls8c_ard_3-2-1_135097_2023-09-01_final
2023-09-08 14:09:45	ga_ls8c_ard_3-2-1_136097_2023-09-08_final
2023-09-17 14:03:40	ga_ls8c_ard_3-2-1_135097_2023-09-17_final
2023-09-24 14:09:52	ga_ls8c_ard_3-2-1_136097_2023-09-24_final
2023-10-03 14:03:43	ga_ls8c_ard_3-2-1_135097_2023-10-03_final
2023-10-10 14:09:56	ga_ls8c_ard_3-2-1_136097_2023-10-10_final
2023-10-19 14:03:44	ga_ls8c_ard_3-2-1_135097_2023-10-19_final
2023-10-26 14:09:59	ga_ls8c_ard_3-2-1_136097_2023-10-26_final
2023-11-04 14:03:48	ga_ls8c_ard_3-2-1_135097_2023-11-04_final
2023-11-11 14:09:55	ga_ls8c_ard_3-2-1_136097_2023-11-11_final
2023-11-20 14:03:50	ga_ls8c_ard_3-2-1_135097_2023-11-20_final
2023-11-27 14:10:01	ga_ls8c_ard_3-2-1_136097_2023-11-27_final
2023-12-06 14:03:42	ga_ls8c_ard_3-2-1_135097_2023-12-06_final
2023-12-13 14:09:57	ga_ls8c_ard_3-2-1_136097_2023-12-13_final
2023-12-22 14:03:49	ga_ls8c_ard_3-2-1_135097_2023-12-22_final
2023-12-29 14:09:57	ga_ls8c_ard_3-2-1_136097_2023-12-29_final
2024-01-23 14:03:39	ga_ls8c_ard_3-2-1_135097_2024-01-23_final
2024-02-08 14:03:42	ga_ls8c_ard_3-2-1_135097_2024-02-08_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