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
2015-09-28 11:17:07	ga_ls8c_ard_3-0-0_110067_2015-09-28_final
2015-11-15 11:17:14	ga_ls8c_ard_3-0-0_110067_2015-11-15_final
2015-11-24 11:11:05	ga_ls8c_ard_3-0-0_109067_2015-11-24_final
2015-12-21 10:57:43	ga_ls8c_ard_3-0-0_106080_2015-12-21_final
2015-12-21 10:58:07	ga_ls8c_ard_3-0-0_106081_2015-12-21_final
2015-12-21 10:58:31	ga_ls8c_ard_3-0-0_106082_2015-12-21_final
2015-12-21 10:58:55	ga_ls8c_ard_3-0-0_106083_2015-12-21_final
2015-12-21 10:59:19	ga_ls8c_ard_3-0-0_106084_2015-12-21_final
2018-06-02 11:05:08	ga_ls8c_ard_3-0-0_108071_2018-06-02_final
2018-06-02 11:05:32	ga_ls8c_ard_3-0-0_108072_2018-06-02_final
2018-06-02 11:05:56	ga_ls8c_ard_3-0-0_108073_2018-06-02_final
2018-06-02 11:06:20	ga_ls8c_ard_3-0-0_108074_2018-06-02_final
2018-06-02 11:06:44	ga_ls8c_ard_3-0-0_108075_2018-06-02_final
2018-06-02 11:07:08	ga_ls8c_ard_3-0-0_108076_2018-06-02_final
2018-06-04 10:56:21	ga_ls8c_ard_3-0-0_106080_2018-06-04_final
2018-06-04 10:56:45	ga_ls8c_ard_3-0-0_106081_2018-06-04_final
2018-06-04 10:57:09	ga_ls8c_ard_3-0-0_106082_2018-06-04_final
2018-06-04 10:57:33	ga_ls8c_ard_3-0-0_106083_2018-06-04_final
2018-06-04 10:57:57	ga_ls8c_ard_3-0-0_106084_2018-06-04_final
2018-08-07 10:56:56	ga_ls8c_ard_3-0-0_106080_2018-08-07_final
2018-08-07 10:57:20	ga_ls8c_ard_3-0-0_106081_2018-08-07_final
2018-08-07 10:57:44	ga_ls8c_ard_3-0-0_106082_2018-08-07_final
2018-08-07 10:58:08	ga_ls8c_ard_3-0-0_106083_2018-08-07_final
2018-08-07 10:58:32	ga_ls8c_ard_3-0-0_106084_2018-08-07_final
2018-09-06 11:05:56	ga_ls8c_ard_3-0-0_108071_2018-09-06_final
2018-09-06 11:06:20	ga_ls8c_ard_3-0-0_108072_2018-09-06_final
2018-09-06 11:06:44	ga_ls8c_ard_3-0-0_108073_2018-09-06_final
2018-09-06 11:07:07	ga_ls8c_ard_3-0-0_108074_2018-09-06_final
2018-09-06 11:07:31	ga_ls8c_ard_3-0-0_108075_2018-09-06_final
2018-09-06 11:07:55	ga_ls8c_ard_3-0-0_108076_2018-09-06_final
2019-02-11 11:16:52	ga_ls8c_ard_3-0-0_110067_2019-02-11_final
2019-02-13 11:06:06	ga_ls8c_ard_3-0-0_108071_2019-02-13_final
2019-02-13 11:06:30	ga_ls8c_ard_3-0-0_108072_2019-02-13_final
2019-02-13 11:06:54	ga_ls8c_ard_3-0-0_108073_2019-02-13_final
2019-02-13 11:07:17	ga_ls8c_ard_3-0-0_108074_2019-02-13_final
2019-02-13 11:07:41	ga_ls8c_ard_3-0-0_108075_2019-02-13_final
2019-02-13 11:08:05	ga_ls8c_ard_3-0-0_108076_2019-02-13_final
2019-02-13 11:08:29	ga_ls8c_ard_3-0-0_108077_2019-02-13_final
2019-02-27 11:16:48	ga_ls8c_ard_3-0-0_110067_2019-02-27_final
2019-03-08 11:10:34	ga_ls8c_ard_3-1-0_109067_2019-03-08_final
2019-03-08 11:10:58	ga_ls8c_ard_3-1-0_109068_2019-03-08_final
2019-03-08 11:11:22	ga_ls8c_ard_3-1-0_109069_2019-03-08_final
2019-03-08 11:11:46	ga_ls8c_ard_3-1-0_109070_2019-03-08_final
2019-03-08 11:12:10	ga_ls8c_ard_3-1-0_109071_2019-03-08_final
2019-03-08 11:12:34	ga_ls8c_ard_3-1-0_109072_2019-03-08_final
2019-04-16 11:16:34	ga_ls8c_ard_3-1-0_110067_2019-04-16_final
2019-04-25 11:10:19	ga_ls8c_ard_3-0-0_109067_2019-04-25_final
2019-04-25 11:10:43	ga_ls8c_ard_3-0-0_109068_2019-04-25_final
2019-04-25 11:11:07	ga_ls8c_ard_3-0-0_109069_2019-04-25_final
2019-04-25 11:11:31	ga_ls8c_ard_3-0-0_109070_2019-04-25_final
2019-04-25 11:11:55	ga_ls8c_ard_3-0-0_109071_2019-04-25_final
2019-04-25 11:12:19	ga_ls8c_ard_3-0-0_109072_2019-04-25_final
2019-05-18 11:16:43	ga_ls8c_ard_3-0-0_110067_2019-05-18_final
2019-05-20 11:05:58	ga_ls8c_ard_3-0-0_108071_2019-05-20_final
2019-05-20 11:06:22	ga_ls8c_ard_3-0-0_108072_2019-05-20_final
2019-05-20 11:06:46	ga_ls8c_ard_3-0-0_108073_2019-05-20_final
2019-05-20 11:07:10	ga_ls8c_ard_3-0-0_108074_2019-05-20_final
2019-05-20 11:07:34	ga_ls8c_ard_3-0-0_108075_2019-05-20_final
2019-05-20 11:07:58	ga_ls8c_ard_3-0-0_108076_2019-05-20_final
2019-05-27 11:10:37	ga_ls8c_ard_3-0-0_109067_2019-05-27_final
2019-05-27 11:11:01	ga_ls8c_ard_3-1-0_109068_2019-05-27_final
2019-05-27 11:11:25	ga_ls8c_ard_3-0-0_109069_2019-05-27_final
2019-05-27 11:11:49	ga_ls8c_ard_3-0-0_109070_2019-05-27_final
2019-05-27 11:12:13	ga_ls8c_ard_3-0-0_109071_2019-05-27_final
2019-05-27 11:12:37	ga_ls8c_ard_3-0-0_109072_2019-05-27_final
2019-06-03 11:16:51	ga_ls8c_ard_3-0-0_110067_2019-06-03_final
2020-03-05 10:57:31	ga_ls8c_ard_3-1-0_106080_2020-03-05_final
2020-03-05 10:57:55	ga_ls8c_ard_3-1-0_106081_2020-03-05_final
2020-03-05 10:58:19	ga_ls8c_ard_3-1-0_106082_2020-03-05_final
2020-03-05 10:58:43	ga_ls8c_ard_3-1-0_106083_2020-03-05_final
2020-03-05 10:59:06	ga_ls8c_ard_3-1-0_106084_2020-03-05_final
2020-04-06 10:57:14	ga_ls8c_ard_3-1-0_106080_2020-04-06_final
2020-04-06 10:57:38	ga_ls8c_ard_3-1-0_106081_2020-04-06_final
2020-04-06 10:58:02	ga_ls8c_ard_3-1-0_106082_2020-04-06_final
2020-04-06 10:58:26	ga_ls8c_ard_3-1-0_106083_2020-04-06_final
2020-04-06 10:58:50	ga_ls8c_ard_3-1-0_106084_2020-04-06_final
2021-04-07 11:06:05	ga_ls8c_ard_3-2-0_108071_2021-04-07_final
2021-04-07 11:06:29	ga_ls8c_ard_3-2-0_108072_2021-04-07_final
2021-04-07 11:06:53	ga_ls8c_ard_3-2-0_108073_2021-04-07_final
2021-04-07 11:07:17	ga_ls8c_ard_3-2-0_108074_2021-04-07_final
2021-04-07 11:07:41	ga_ls8c_ard_3-2-0_108075_2021-04-07_final
2021-04-07 11:08:05	ga_ls8c_ard_3-2-0_108076_2021-04-07_final
2021-04-09 10:57:19	ga_ls8c_ard_3-2-0_106080_2021-04-09_final
2021-04-09 10:57:42	ga_ls8c_ard_3-2-0_106081_2021-04-09_final
2021-04-09 10:58:06	ga_ls8c_ard_3-2-0_106082_2021-04-09_final
2021-04-09 10:58:30	ga_ls8c_ard_3-2-0_106083_2021-04-09_final
2021-04-09 10:58:54	ga_ls8c_ard_3-2-0_106084_2021-04-09_final
2021-04-14 11:10:38	ga_ls8c_ard_3-2-0_109067_2021-04-14_final
2021-04-14 11:11:02	ga_ls8c_ard_3-2-0_109068_2021-04-14_final
2021-04-14 11:11:26	ga_ls8c_ard_3-2-0_109069_2021-04-14_final
2021-04-14 11:11:50	ga_ls8c_ard_3-2-0_109070_2021-04-14_final
2021-04-14 11:12:14	ga_ls8c_ard_3-2-0_109071_2021-04-14_final
2021-04-14 11:12:37	ga_ls8c_ard_3-2-0_109072_2021-04-14_final
2021-04-16 11:01:27	ga_ls8c_ard_3-2-0_107075_2021-04-16_final
2021-04-16 11:01:51	ga_ls8c_ard_3-2-0_107076_2021-04-16_final
2021-04-16 11:02:15	ga_ls8c_ard_3-2-0_107077_2021-04-16_final
2021-04-16 11:02:39	ga_ls8c_ard_3-2-0_107078_2021-04-16_final
2021-04-16 11:03:03	ga_ls8c_ard_3-2-0_107079_2021-04-16_final
2021-04-16 11:03:26	ga_ls8c_ard_3-2-0_107080_2021-04-16_final
2021-04-16 11:03:50	ga_ls8c_ard_3-2-0_107081_2021-04-16_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