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
2017-05-05 11:10:14	ga_ls8c_ard_3-0-0_109067_2017-05-05_final
2017-05-05 11:10:38	ga_ls8c_ard_3-0-0_109068_2017-05-05_final
2017-05-05 11:11:02	ga_ls8c_ard_3-0-0_109069_2017-05-05_final
2017-05-05 11:11:26	ga_ls8c_ard_3-0-0_109070_2017-05-05_final
2017-05-05 11:11:50	ga_ls8c_ard_3-0-0_109071_2017-05-05_final
2017-05-07 11:01:05	ga_ls8c_ard_3-0-0_107075_2017-05-07_final
2017-05-07 11:01:29	ga_ls8c_ard_3-0-0_107076_2017-05-07_final
2017-05-07 11:01:53	ga_ls8c_ard_3-0-0_107077_2017-05-07_final
2017-05-07 11:02:17	ga_ls8c_ard_3-0-0_107078_2017-05-07_final
2017-05-07 11:02:41	ga_ls8c_ard_3-0-0_107079_2017-05-07_final
2017-05-07 11:03:05	ga_ls8c_ard_3-0-0_107080_2017-05-07_final
2017-07-10 11:01:34	ga_ls8c_ard_3-0-0_107075_2017-07-10_final
2017-07-10 11:01:58	ga_ls8c_ard_3-0-0_107076_2017-07-10_final
2017-07-10 11:02:22	ga_ls8c_ard_3-0-0_107077_2017-07-10_final
2017-07-10 11:02:46	ga_ls8c_ard_3-0-0_107078_2017-07-10_final
2017-07-10 11:03:10	ga_ls8c_ard_3-0-0_107079_2017-07-10_final
2017-07-10 11:03:34	ga_ls8c_ard_3-0-0_107080_2017-07-10_final
2017-07-12 10:52:24	ga_ls8c_ard_3-0-0_105083_2017-07-12_final
2017-08-09 11:10:57	ga_ls8c_ard_3-0-0_109067_2017-08-09_final
2017-08-09 11:11:21	ga_ls8c_ard_3-0-0_109068_2017-08-09_final
2017-08-09 11:11:45	ga_ls8c_ard_3-0-0_109069_2017-08-09_final
2017-08-09 11:12:09	ga_ls8c_ard_3-0-0_109070_2017-08-09_final
2017-08-09 11:12:33	ga_ls8c_ard_3-0-0_109071_2017-08-09_final
2017-08-11 11:01:47	ga_ls8c_ard_3-0-0_107075_2017-08-11_final
2017-08-11 11:02:11	ga_ls8c_ard_3-0-0_107076_2017-08-11_final
2017-08-11 11:02:35	ga_ls8c_ard_3-0-0_107077_2017-08-11_final
2017-08-11 11:02:59	ga_ls8c_ard_3-0-0_107078_2017-08-11_final
2017-08-11 11:03:23	ga_ls8c_ard_3-0-0_107079_2017-08-11_final
2017-08-11 11:03:47	ga_ls8c_ard_3-0-0_107080_2017-08-11_final
2017-08-27 11:01:51	ga_ls8c_ard_3-0-0_107075_2017-08-27_final
2017-08-27 11:02:15	ga_ls8c_ard_3-0-0_107076_2017-08-27_final
2017-08-27 11:02:39	ga_ls8c_ard_3-0-0_107077_2017-08-27_final
2017-08-27 11:03:03	ga_ls8c_ard_3-0-0_107078_2017-08-27_final
2017-08-27 11:03:27	ga_ls8c_ard_3-0-0_107079_2017-08-27_final
2017-08-27 11:03:51	ga_ls8c_ard_3-0-0_107080_2017-08-27_final
2021-04-30 11:10:29	ga_ls8c_ard_3-2-0_109067_2021-04-30_final
2021-04-30 11:10:53	ga_ls8c_ard_3-2-0_109068_2021-04-30_final
2021-04-30 11:11:17	ga_ls8c_ard_3-2-0_109069_2021-04-30_final
2021-04-30 11:11:41	ga_ls8c_ard_3-2-0_109070_2021-04-30_final
2021-04-30 11:12:05	ga_ls8c_ard_3-2-0_109071_2021-04-30_final
2021-05-02 11:01:18	ga_ls8c_ard_3-2-0_107075_2021-05-02_final
2021-05-02 11:01:42	ga_ls8c_ard_3-2-0_107076_2021-05-02_final
2021-05-02 11:02:06	ga_ls8c_ard_3-2-0_107077_2021-05-02_final
2021-05-02 11:02:30	ga_ls8c_ard_3-2-0_107078_2021-05-02_final
2021-05-02 11:02:53	ga_ls8c_ard_3-2-0_107079_2021-05-02_final
2021-05-02 11:03:17	ga_ls8c_ard_3-2-0_107080_2021-05-02_final
2021-05-04 10:52:06	ga_ls8c_ard_3-2-0_105083_2021-05-04_final
2021-05-25 11:05:38	ga_ls8c_ard_3-2-0_108070_2021-05-25_final
2021-05-25 11:06:02	ga_ls8c_ard_3-2-0_108071_2021-05-25_final
2021-05-25 11:06:26	ga_ls8c_ard_3-2-0_108072_2021-05-25_final
2021-05-25 11:06:50	ga_ls8c_ard_3-2-0_108073_2021-05-25_final
2021-05-25 11:07:14	ga_ls8c_ard_3-2-0_108074_2021-05-25_final
2021-05-25 11:07:38	ga_ls8c_ard_3-2-0_108075_2021-05-25_final
2021-05-27 10:56:53	ga_ls8c_ard_3-2-0_106079_2021-05-27_final
2021-05-27 10:57:17	ga_ls8c_ard_3-2-0_106080_2021-05-27_final
2021-05-27 10:57:41	ga_ls8c_ard_3-2-0_106081_2021-05-27_final
2021-05-27 10:58:05	ga_ls8c_ard_3-2-0_106082_2021-05-27_final
2021-05-27 10:58:29	ga_ls8c_ard_3-2-0_106083_2021-05-27_final
2021-05-27 10:58:53	ga_ls8c_ard_3-2-0_106084_2021-05-27_final
2021-08-24 10:52:47	ga_ls8c_ard_3-2-0_105083_2021-08-24_final
2021-08-29 11:06:09	ga_ls8c_ard_3-2-0_108070_2021-08-29_final
2021-08-29 11:06:33	ga_ls8c_ard_3-2-0_108071_2021-08-29_final
2021-08-29 11:06:57	ga_ls8c_ard_3-2-0_108072_2021-08-29_final
2021-08-29 11:07:21	ga_ls8c_ard_3-2-0_108073_2021-08-29_final
2021-08-29 11:07:45	ga_ls8c_ard_3-2-0_108074_2021-08-29_final
2021-08-29 11:08:09	ga_ls8c_ard_3-2-0_108075_2021-08-29_final
2021-08-29 11:08:33	ga_ls8c_ard_3-2-0_108076_2021-08-29_final
2021-09-05 11:11:11	ga_ls8c_ard_3-2-0_109067_2021-09-05_final
2021-09-05 11:12:23	ga_ls8c_ard_3-2-0_109070_2021-09-05_final
2021-09-05 11:12:47	ga_ls8c_ard_3-2-0_109071_2021-09-05_final
2021-09-07 11:02:01	ga_ls8c_ard_3-2-0_107075_2021-09-07_final
2021-09-07 11:02:25	ga_ls8c_ard_3-2-0_107076_2021-09-07_final
2021-09-07 11:02:49	ga_ls8c_ard_3-2-0_107077_2021-09-07_final
2021-09-07 11:03:13	ga_ls8c_ard_3-2-0_107078_2021-09-07_final
2021-09-07 11:03:37	ga_ls8c_ard_3-2-0_107079_2021-09-07_final
2021-09-07 11:04:01	ga_ls8c_ard_3-2-0_107080_2021-09-07_final
2021-09-30 11:06:18	ga_ls8c_ard_3-2-0_108070_2021-09-30_final
2021-09-30 11:06:42	ga_ls8c_ard_3-2-0_108071_2021-09-30_final
2021-09-30 11:07:06	ga_ls8c_ard_3-2-0_108072_2021-09-30_final
2021-09-30 11:07:30	ga_ls8c_ard_3-2-0_108073_2021-09-30_final
2021-09-30 11:07:54	ga_ls8c_ard_3-2-0_108074_2021-09-30_final
2021-09-30 11:08:18	ga_ls8c_ard_3-2-0_108075_2021-09-30_final
2021-09-30 11:08:42	ga_ls8c_ard_3-2-0_108076_2021-09-30_final
2021-10-02 10:57:33	ga_ls8c_ard_3-2-0_106079_2021-10-02_final
2021-10-02 10:57:56	ga_ls8c_ard_3-2-0_106080_2021-10-02_final
2021-10-02 10:58:20	ga_ls8c_ard_3-2-0_106081_2021-10-02_final
2021-10-02 10:58:44	ga_ls8c_ard_3-2-0_106082_2021-10-02_final
2021-10-02 10:59:08	ga_ls8c_ard_3-2-0_106083_2021-10-02_final
2021-10-02 10:59:32	ga_ls8c_ard_3-2-0_106084_2021-10-02_final
2021-10-07 11:11:19	ga_ls8c_ard_3-2-0_109067_2021-10-07_final
2021-10-07 11:11:43	ga_ls8c_ard_3-2-0_109068_2021-10-07_final
2021-10-07 11:12:07	ga_ls8c_ard_3-2-0_109069_2021-10-07_final
2021-10-07 11:12:31	ga_ls8c_ard_3-2-0_109070_2021-10-07_final
2021-10-07 11:12:55	ga_ls8c_ard_3-2-0_109071_2021-10-07_final
2021-10-09 11:02:10	ga_ls8c_ard_3-2-0_107075_2021-10-09_final
2021-10-09 11:02:34	ga_ls8c_ard_3-2-0_107076_2021-10-09_final
2021-10-09 11:02:58	ga_ls8c_ard_3-2-0_107077_2021-10-09_final
2021-10-09 11:03:22	ga_ls8c_ard_3-2-0_107078_2021-10-09_final
2021-10-09 11:03:46	ga_ls8c_ard_3-2-0_107079_2021-10-09_final
2021-10-09 11:04:10	ga_ls8c_ard_3-2-0_107080_2021-10-09_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