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
2021-11-28 10:46:34	ga_ls8c_ard_3-2-0_105067_2021-11-28_final
2021-11-28 10:46:58	ga_ls8c_ard_3-2-0_105068_2021-11-28_final
2021-11-28 10:47:22	ga_ls8c_ard_3-2-0_105069_2021-11-28_final
2021-11-28 10:48:10	ga_ls8c_ard_3-2-0_105071_2021-11-28_final
2021-11-28 10:48:34	ga_ls8c_ard_3-2-0_105072_2021-11-28_final
2021-11-28 10:49:22	ga_ls8c_ard_3-2-0_105074_2021-11-28_final
2021-11-28 10:50:10	ga_ls8c_ard_3-2-0_105076_2021-11-28_final
2021-11-28 10:50:33	ga_ls8c_ard_3-2-0_105077_2021-11-28_final
2021-11-28 10:50:57	ga_ls8c_ard_3-2-0_105078_2021-11-28_final
2021-11-28 10:51:21	ga_ls8c_ard_3-2-0_105079_2021-11-28_final
2021-11-28 10:51:45	ga_ls8c_ard_3-2-0_105080_2021-11-28_final
2021-11-28 10:52:09	ga_ls8c_ard_3-2-0_105081_2021-11-28_final
2021-11-28 10:52:33	ga_ls8c_ard_3-2-0_105082_2021-11-28_final
2021-11-28 10:52:57	ga_ls8c_ard_3-2-0_105083_2021-11-28_final
2021-11-29 09:57:20	ga_ls8c_ard_3-2-0_096083_2021-11-29_final
2021-11-29 09:57:44	ga_ls8c_ard_3-2-0_096084_2021-11-29_final
2021-11-29 09:58:08	ga_ls8c_ard_3-2-0_096085_2021-11-29_final
2021-11-29 11:31:50	ga_ls8c_ard_3-2-0_112072_2021-11-29_final
2021-11-29 11:32:14	ga_ls8c_ard_3-2-0_112073_2021-11-29_final
2021-11-29 11:32:38	ga_ls8c_ard_3-2-0_112074_2021-11-29_final
2021-11-29 11:33:01	ga_ls8c_ard_3-2-0_112075_2021-11-29_final
2021-11-29 11:33:25	ga_ls8c_ard_3-2-0_112076_2021-11-29_final
2021-11-29 11:33:49	ga_ls8c_ard_3-2-0_112077_2021-11-29_final
2021-11-29 11:34:13	ga_ls8c_ard_3-2-0_112078_2021-11-29_final
2021-11-29 11:34:37	ga_ls8c_ard_3-2-0_112079_2021-11-29_final
2021-11-29 11:35:01	ga_ls8c_ard_3-2-0_112080_2021-11-29_final
2021-11-29 11:35:49	ga_ls8c_ard_3-2-0_112082_2021-11-29_final
2021-11-29 11:36:13	ga_ls8c_ard_3-2-0_112083_2021-11-29_final
2021-11-29 11:36:37	ga_ls8c_ard_3-2-0_112084_2021-11-29_final
2021-11-30 10:35:24	ga_ls8c_ard_3-2-0_103070_2021-11-30_final
2021-11-30 10:36:12	ga_ls8c_ard_3-2-0_103072_2021-11-30_final
2021-11-30 10:37:24	ga_ls8c_ard_3-2-0_103075_2021-11-30_final
2021-11-30 10:37:48	ga_ls8c_ard_3-2-0_103076_2021-11-30_final
2021-11-30 10:38:36	ga_ls8c_ard_3-2-0_103078_2021-11-30_final
2021-11-30 10:39:00	ga_ls8c_ard_3-2-0_103079_2021-11-30_final
2021-11-30 10:39:24	ga_ls8c_ard_3-2-0_103080_2021-11-30_final
2021-11-30 10:39:48	ga_ls8c_ard_3-2-0_103081_2021-11-30_final
2021-11-30 10:40:12	ga_ls8c_ard_3-2-0_103082_2021-11-30_final
2021-12-01 11:18:16	ga_ls8c_ard_3-2-0_110069_2021-12-01_final
2021-12-01 11:18:40	ga_ls8c_ard_3-2-0_110070_2021-12-01_final
2021-12-01 11:19:04	ga_ls8c_ard_3-2-0_110071_2021-12-01_final
2021-12-01 11:19:28	ga_ls8c_ard_3-2-0_110072_2021-12-01_final
2021-12-01 11:19:52	ga_ls8c_ard_3-2-0_110073_2021-12-01_final
2021-12-01 11:20:16	ga_ls8c_ard_3-2-0_110074_2021-12-01_final
2021-12-01 11:21:04	ga_ls8c_ard_3-2-0_110076_2021-12-01_final
2021-12-01 11:21:28	ga_ls8c_ard_3-2-0_110077_2021-12-01_final
2021-12-01 11:22:16	ga_ls8c_ard_3-2-0_110079_2021-12-01_final
2021-12-01 11:22:40	ga_ls8c_ard_3-2-0_110080_2021-12-01_final
2021-12-01 11:23:04	ga_ls8c_ard_3-2-0_110081_2021-12-01_final
2021-12-01 11:23:28	ga_ls8c_ard_3-2-0_110082_2021-12-01_final
2021-12-01 11:23:52	ga_ls8c_ard_3-2-0_110083_2021-12-01_final
2021-12-01 11:24:15	ga_ls8c_ard_3-2-0_110084_2021-12-01_final
2021-12-01 11:24:39	ga_ls8c_ard_3-2-0_110085_2021-12-01_final
2021-12-02 10:23:51	ga_ls8c_ard_3-2-0_101072_2021-12-02_final
2021-12-02 10:24:15	ga_ls8c_ard_3-2-0_101073_2021-12-02_final
2021-12-02 10:25:03	ga_ls8c_ard_3-2-0_101075_2021-12-02_final
2021-12-02 10:25:27	ga_ls8c_ard_3-2-0_101076_2021-12-02_final
2021-12-02 10:26:14	ga_ls8c_ard_3-2-0_101078_2021-12-02_final
2021-12-02 10:26:38	ga_ls8c_ard_3-2-0_101079_2021-12-02_final
2021-12-02 10:27:02	ga_ls8c_ard_3-2-0_101080_2021-12-02_final
2021-12-02 10:27:26	ga_ls8c_ard_3-2-0_101081_2021-12-02_final
2021-12-03 11:05:55	ga_ls8c_ard_3-2-0_108069_2021-12-03_final
2021-12-03 11:06:19	ga_ls8c_ard_3-2-0_108070_2021-12-03_final
2021-12-03 11:06:43	ga_ls8c_ard_3-2-0_108071_2021-12-03_final
2021-12-03 11:07:07	ga_ls8c_ard_3-2-0_108072_2021-12-03_final
2021-12-03 11:07:30	ga_ls8c_ard_3-2-0_108073_2021-12-03_final
2021-12-03 11:08:18	ga_ls8c_ard_3-2-0_108075_2021-12-03_final
2021-12-03 11:08:42	ga_ls8c_ard_3-2-0_108076_2021-12-03_final
2021-12-03 11:09:06	ga_ls8c_ard_3-2-0_108077_2021-12-03_final
2021-12-03 11:09:30	ga_ls8c_ard_3-2-0_108078_2021-12-03_final
2021-12-03 11:09:54	ga_ls8c_ard_3-2-0_108079_2021-12-03_final
2021-12-03 11:10:18	ga_ls8c_ard_3-2-0_108080_2021-12-03_final
2021-12-03 11:11:06	ga_ls8c_ard_3-2-0_108082_2021-12-03_final
2021-12-03 11:11:30	ga_ls8c_ard_3-2-0_108083_2021-12-03_final
2021-12-03 11:11:54	ga_ls8c_ard_3-2-0_108084_2021-12-03_final
2021-12-04 10:09:30	ga_ls8c_ard_3-2-0_099067_2021-12-04_final
2021-12-04 10:09:53	ga_ls8c_ard_3-2-0_099068_2021-12-04_final
2021-12-04 10:10:17	ga_ls8c_ard_3-2-0_099069_2021-12-04_final
2021-12-04 10:10:41	ga_ls8c_ard_3-2-0_099070_2021-12-04_final
2021-12-04 10:11:05	ga_ls8c_ard_3-2-0_099071_2021-12-04_final
2021-12-04 10:11:29	ga_ls8c_ard_3-2-0_099072_2021-12-04_final
2021-12-04 10:11:53	ga_ls8c_ard_3-2-0_099073_2021-12-04_final
2021-12-04 10:12:17	ga_ls8c_ard_3-2-0_099074_2021-12-04_final
2021-12-04 10:12:41	ga_ls8c_ard_3-2-0_099075_2021-12-04_final
2021-12-04 10:13:05	ga_ls8c_ard_3-2-0_099076_2021-12-04_final
2021-12-04 10:13:29	ga_ls8c_ard_3-2-0_099077_2021-12-04_final
2021-12-04 10:13:53	ga_ls8c_ard_3-2-0_099078_2021-12-04_final
2021-12-04 10:14:17	ga_ls8c_ard_3-2-0_099079_2021-12-04_final
2021-12-04 10:14:41	ga_ls8c_ard_3-2-0_099080_2021-12-04_final
2021-12-04 10:15:05	ga_ls8c_ard_3-2-0_099081_2021-12-04_final
2021-12-04 10:15:29	ga_ls8c_ard_3-2-0_099082_2021-12-04_final
2021-12-04 10:15:53	ga_ls8c_ard_3-2-0_099083_2021-12-04_final
2021-12-04 10:16:17	ga_ls8c_ard_3-2-0_099084_2021-12-04_final
2021-12-04 10:16:41	ga_ls8c_ard_3-2-0_099085_2021-12-04_final
2021-12-04 11:51:10	ga_ls8c_ard_3-2-0_115074_2021-12-04_final
2021-12-04 11:51:34	ga_ls8c_ard_3-2-0_115075_2021-12-04_final
2021-12-04 11:51:58	ga_ls8c_ard_3-2-0_115076_2021-12-04_final
2021-12-04 11:52:22	ga_ls8c_ard_3-2-0_115077_2021-12-04_final
2021-12-04 11:52:46	ga_ls8c_ard_3-2-0_115078_2021-12-04_final
2021-12-04 11:53:10	ga_ls8c_ard_3-2-0_115079_2021-12-04_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