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
2013-11-24 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
2013-12-17 14:11:17	ga_ls8c_ard_3-2-1_136097_2013-12-17_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
2014-10-09 08:24:17	ga_ls8c_ard_3-2-1_080098_2014-10-08_final
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
2014-10-18 08:18:08	ga_ls8c_ard_3-2-1_079098_2014-10-17_final
2014-11-11 14:03:50	ga_ls8c_ard_3-2-1_135097_2014-11-11_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
2014-12-20 14:09:54	ga_ls8c_ard_3-2-1_136097_2014-12-20_final
2014-12-29 14:03:39	ga_ls8c_ard_3-2-1_135097_2014-12-29_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
2015-12-07 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
2016-12-01 08:24:25	ga_ls8c_ard_3-2-1_080098_2016-11-30_final
2016-12-02 14:03:55	ga_ls8c_ard_3-2-1_135097_2016-12-02_final
2016-12-09 14:10:05	ga_ls8c_ard_3-2-1_136097_2016-12-09_final
2016-12-18 14:03:51	ga_ls8c_ard_3-2-1_135097_2016-12-18_final
2016-12-25 14:10:01	ga_ls8c_ard_3-2-1_136097_2016-12-25_final
2018-09-19 14:03:14	ga_ls8c_ard_3-2-1_135097_2018-09-19_final
2018-10-05 14:03:22	ga_ls8c_ard_3-2-1_135097_2018-10-05_final
2018-10-21 14:03:28	ga_ls8c_ard_3-2-1_135097_2018-10-21_final
2018-10-29 08:17:48	ga_ls8c_ard_3-2-1_079098_2018-10-28_final
2018-11-05 08:24:00	ga_ls8c_ard_3-2-1_080098_2018-11-04_final
2018-11-06 14:03:31	ga_ls8c_ard_3-2-1_135097_2018-11-06_final
2018-12-08 14:03:29	ga_ls8c_ard_3-2-1_135097_2018-12-08_final
2018-12-24 14:03:28	ga_ls8c_ard_3-2-1_135097_2018-12-24_final
2019-09-21 08:24:23	ga_ls8c_ard_3-2-1_080098_2019-09-20_final
2019-10-07 08:24:27	ga_ls8c_ard_3-2-1_080098_2019-10-06_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
2019-11-09 14:03:58	ga_ls8c_ard_3-2-1_135097_2019-11-09_final
2019-11-25 14:03:55	ga_ls8c_ard_3-2-1_135097_2019-11-25_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
2020-03-07 14:09:42	ga_ls8c_ard_3-2-1_136097_2020-03-07_final
2020-03-23 14:09:34	ga_ls8c_ard_3-2-1_136097_2020-03-23_final
2020-04-01 14:03:17	ga_ls8c_ard_3-2-1_135097_2020-04-01_final
2020-04-08 14:09:25	ga_ls8c_ard_3-2-1_136097_2020-04-08_final
2020-04-17 14:03:11	ga_ls8c_ard_3-2-1_135097_2020-04-17_final
2020-05-11 08:17:18	ga_ls8c_ard_3-2-1_079098_2020-05-10_final
2020-05-27 08:17:21	ga_ls8c_ard_3-2-1_079098_2020-05-26_final
2020-06-12 08:17:31	ga_ls8c_ard_3-2-1_079098_2020-06-11_final
2020-09-16 08:18:09	ga_ls8c_ard_3-2-1_079098_2020-09-15_final
2020-11-18 14:10:05	ga_ls8c_ard_3-2-1_136097_2020-11-18_final
2020-12-04 14:10:08	ga_ls8c_ard_3-2-1_136097_2020-12-04_final
2020-12-20 14:10:07	ga_ls8c_ard_3-2-1_136097_2020-12-20_final
2020-12-21 08:18:14	ga_ls8c_ard_3-2-1_079098_2020-12-20_final
2020-12-29 14:03:53	ga_ls8c_ard_3-2-1_135097_2020-12-29_final
2021-01-05 14:10:02	ga_ls8c_ard_3-2-1_136097_2021-01-05_final
2021-01-14 14:03:47	ga_ls8c_ard_3-2-1_135097_2021-01-14_final
2021-08-25 08:24:16	ga_ls8c_ard_3-2-1_080098_2021-08-24_final
2021-09-03 08:18:08	ga_ls8c_ard_3-2-1_079098_2021-09-02_final
2021-09-10 08:24:21	ga_ls8c_ard_3-2-1_080098_2021-09-09_final
2021-09-27 14:03:56	ga_ls8c_ard_3-2-1_135097_2021-09-27_final
2021-11-14 14:03:57	ga_ls8c_ard_3-2-1_135097_2021-11-14_final
2021-11-21 14:10:07	ga_ls8c_ard_3-2-1_136097_2021-11-21_final
2021-11-30 14:03:57	ga_ls8c_ard_3-2-1_135097_2021-11-30_final
2021-12-07 14:10:08	ga_ls8c_ard_3-2-1_136097_2021-12-07_final
2021-12-16 14:03:56	ga_ls8c_ard_3-2-1_135097_2021-12-16_final
2021-12-23 14:10:05	ga_ls8c_ard_3-2-1_136097_2021-12-23_final
2021-12-31 08:24:20	ga_ls8c_ard_3-2-1_080098_2021-12-30_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
2022-02-02 14:03:44	ga_ls8c_ard_3-2-1_135097_2022-02-02_final
2022-03-06 14:03:36	ga_ls8c_ard_3-2-1_135097_2022-03-06_final
2022-03-13 14:09:44	ga_ls8c_ard_3-2-1_136097_2022-03-13_final
2022-03-22 14:03:27	ga_ls8c_ard_3-2-1_135097_2022-03-22_final
2022-03-29 14:09:31	ga_ls8c_ard_3-2-1_136097_2022-03-29_final
2022-04-07 14:03:23	ga_ls8c_ard_3-2-1_135097_2022-04-07_final
2022-04-14 14:09:37	ga_ls8c_ard_3-2-1_136097_2022-04-14_final
2022-04-15 08:17:45	ga_ls8c_ard_3-2-1_079098_2022-04-14_final
2022-04-22 08:23:54	ga_ls8c_ard_3-2-1_080098_2022-04-21_final
2022-05-08 08:23:57	ga_ls8c_ard_3-2-1_080098_2022-05-07_final
2022-05-17 08:17:50	ga_ls8c_ard_3-2-1_079098_2022-05-16_final
2022-11-24 14:10:19	ga_ls8c_ard_3-2-1_136097_2022-11-24_final
2022-11-25 08:18:27	ga_ls8c_ard_3-2-1_079098_2022-11-24_final
2022-12-03 14:04:09	ga_ls8c_ard_3-2-1_135097_2022-12-03_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
2022-12-26 14:10:10	ga_ls8c_ard_3-2-1_136097_2022-12-26_final
2023-10-18 08:24:14	ga_ls8c_ard_3-2-1_080098_2023-10-17_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

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