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
2017-05-07 10:58:42	ga_ls8c_ard_3-0-0_107069_2017-05-07_final
2017-05-07 10:59:06	ga_ls8c_ard_3-0-0_107070_2017-05-07_final
2017-05-07 10:59:30	ga_ls8c_ard_3-0-0_107071_2017-05-07_final
2017-05-07 10:59:54	ga_ls8c_ard_3-0-0_107072_2017-05-07_final
2017-05-07 11:00:18	ga_ls8c_ard_3-0-0_107073_2017-05-07_final
2017-05-07 11:00:41	ga_ls8c_ard_3-0-0_107074_2017-05-07_final
2017-07-10 10:59:10	ga_ls8c_ard_3-0-0_107069_2017-07-10_final
2017-07-10 10:59:34	ga_ls8c_ard_3-0-0_107070_2017-07-10_final
2017-07-10 10:59:58	ga_ls8c_ard_3-0-0_107071_2017-07-10_final
2017-07-10 11:00:22	ga_ls8c_ard_3-0-0_107072_2017-07-10_final
2017-07-10 11:00:46	ga_ls8c_ard_3-0-0_107073_2017-07-10_final
2017-07-10 11:01:10	ga_ls8c_ard_3-0-0_107074_2017-07-10_final
2017-07-12 10:50:24	ga_ls8c_ard_3-0-0_105078_2017-07-12_final
2017-07-12 10:50:48	ga_ls8c_ard_3-0-0_105079_2017-07-12_final
2017-07-12 10:51:12	ga_ls8c_ard_3-0-0_105080_2017-07-12_final
2017-07-12 10:51:36	ga_ls8c_ard_3-0-0_105081_2017-07-12_final
2017-07-12 10:52:00	ga_ls8c_ard_3-0-0_105082_2017-07-12_final
2017-07-12 10:52:24	ga_ls8c_ard_3-0-0_105083_2017-07-12_final
2017-08-11 10:59:24	ga_ls8c_ard_3-0-0_107069_2017-08-11_final
2017-08-11 10:59:48	ga_ls8c_ard_3-0-0_107070_2017-08-11_final
2017-08-11 11:00:12	ga_ls8c_ard_3-0-0_107071_2017-08-11_final
2017-08-11 11:00:36	ga_ls8c_ard_3-0-0_107072_2017-08-11_final
2017-08-11 11:00:59	ga_ls8c_ard_3-0-0_107073_2017-08-11_final
2017-08-11 11:01:23	ga_ls8c_ard_3-0-0_107074_2017-08-11_final
2017-08-27 10:59:28	ga_ls8c_ard_3-0-0_107069_2017-08-27_final
2017-08-27 10:59:52	ga_ls8c_ard_3-0-0_107070_2017-08-27_final
2017-08-27 11:00:16	ga_ls8c_ard_3-0-0_107071_2017-08-27_final
2017-08-27 11:00:40	ga_ls8c_ard_3-0-0_107072_2017-08-27_final
2017-08-27 11:01:03	ga_ls8c_ard_3-0-0_107073_2017-08-27_final
2017-08-27 11:01:27	ga_ls8c_ard_3-0-0_107074_2017-08-27_final
2021-02-13 10:51:05	ga_ls8c_ard_3-2-0_105079_2021-02-13_final
2021-02-13 10:51:29	ga_ls8c_ard_3-2-0_105080_2021-02-13_final
2021-04-27 10:45:36	ga_ls8c_ard_3-2-0_104082_2021-04-27_final
2021-04-27 10:46:00	ga_ls8c_ard_3-2-0_104083_2021-04-27_final
2021-05-02 10:58:54	ga_ls8c_ard_3-2-0_107069_2021-05-02_final
2021-05-02 10:59:18	ga_ls8c_ard_3-2-0_107070_2021-05-02_final
2021-05-02 10:59:42	ga_ls8c_ard_3-2-0_107071_2021-05-02_final
2021-05-02 11:00:06	ga_ls8c_ard_3-2-0_107072_2021-05-02_final
2021-05-02 11:00:30	ga_ls8c_ard_3-2-0_107073_2021-05-02_final
2021-05-02 11:00:54	ga_ls8c_ard_3-2-0_107074_2021-05-02_final
2021-05-04 10:50:07	ga_ls8c_ard_3-2-0_105078_2021-05-04_final
2021-05-04 10:50:30	ga_ls8c_ard_3-2-0_105079_2021-05-04_final
2021-05-04 10:50:54	ga_ls8c_ard_3-2-0_105080_2021-05-04_final
2021-05-04 10:51:18	ga_ls8c_ard_3-2-0_105081_2021-05-04_final
2021-05-04 10:51:42	ga_ls8c_ard_3-2-0_105082_2021-05-04_final
2021-05-04 10:52:06	ga_ls8c_ard_3-2-0_105083_2021-05-04_final
2021-05-25 11:04:26	ga_ls8c_ard_3-2-0_108067_2021-05-25_final
2021-05-25 11:04:50	ga_ls8c_ard_3-2-0_108068_2021-05-25_final
2021-05-25 11:05:14	ga_ls8c_ard_3-2-0_108069_2021-05-25_final
2021-05-25 11:05:38	ga_ls8c_ard_3-2-0_108070_2021-05-25_final
2021-05-27 10:54:29	ga_ls8c_ard_3-2-0_106073_2021-05-27_final
2021-05-27 10:54:53	ga_ls8c_ard_3-2-0_106074_2021-05-27_final
2021-05-27 10:55:17	ga_ls8c_ard_3-2-0_106075_2021-05-27_final
2021-05-27 10:55:41	ga_ls8c_ard_3-2-0_106076_2021-05-27_final
2021-05-27 10:56:05	ga_ls8c_ard_3-2-0_106077_2021-05-27_final
2021-05-27 10:56:29	ga_ls8c_ard_3-2-0_106078_2021-05-27_final
2021-05-27 10:56:53	ga_ls8c_ard_3-2-0_106079_2021-05-27_final
2021-05-29 10:45:44	ga_ls8c_ard_3-2-0_104082_2021-05-29_final
2021-05-29 10:46:08	ga_ls8c_ard_3-2-0_104083_2021-05-29_final
2021-08-24 10:50:47	ga_ls8c_ard_3-2-0_105078_2021-08-24_final
2021-08-24 10:51:11	ga_ls8c_ard_3-2-0_105079_2021-08-24_final
2021-08-24 10:51:35	ga_ls8c_ard_3-2-0_105080_2021-08-24_final
2021-08-24 10:51:59	ga_ls8c_ard_3-2-0_105081_2021-08-24_final
2021-08-24 10:52:23	ga_ls8c_ard_3-2-0_105082_2021-08-24_final
2021-08-24 10:52:47	ga_ls8c_ard_3-2-0_105083_2021-08-24_final
2021-08-29 11:04:58	ga_ls8c_ard_3-2-0_108067_2021-08-29_final
2021-08-29 11:05:22	ga_ls8c_ard_3-2-0_108068_2021-08-29_final
2021-08-29 11:05:46	ga_ls8c_ard_3-2-0_108069_2021-08-29_final
2021-08-29 11:06:09	ga_ls8c_ard_3-2-0_108070_2021-08-29_final
2021-09-02 10:46:15	ga_ls8c_ard_3-2-0_104082_2021-09-02_final
2021-09-02 10:46:39	ga_ls8c_ard_3-2-0_104083_2021-09-02_final
2021-09-07 10:59:38	ga_ls8c_ard_3-2-0_107069_2021-09-07_final
2021-09-07 11:00:01	ga_ls8c_ard_3-2-0_107070_2021-09-07_final
2021-09-07 11:00:25	ga_ls8c_ard_3-2-0_107071_2021-09-07_final
2021-09-07 11:00:49	ga_ls8c_ard_3-2-0_107072_2021-09-07_final
2021-09-07 11:01:13	ga_ls8c_ard_3-2-0_107073_2021-09-07_final
2021-09-07 11:01:37	ga_ls8c_ard_3-2-0_107074_2021-09-07_final
2021-09-30 11:05:06	ga_ls8c_ard_3-2-0_108067_2021-09-30_final
2021-09-30 11:05:30	ga_ls8c_ard_3-2-0_108068_2021-09-30_final
2021-09-30 11:05:54	ga_ls8c_ard_3-2-0_108069_2021-09-30_final
2021-09-30 11:06:18	ga_ls8c_ard_3-2-0_108070_2021-09-30_final
2021-10-02 10:55:33	ga_ls8c_ard_3-2-0_106074_2021-10-02_final
2021-10-02 10:55:57	ga_ls8c_ard_3-2-0_106075_2021-10-02_final
2021-10-02 10:56:21	ga_ls8c_ard_3-2-0_106076_2021-10-02_final
2021-10-02 10:56:45	ga_ls8c_ard_3-2-0_106077_2021-10-02_final
2021-10-02 10:57:09	ga_ls8c_ard_3-2-0_106078_2021-10-02_final
2021-10-02 10:57:33	ga_ls8c_ard_3-2-0_106079_2021-10-02_final
2021-10-04 10:46:23	ga_ls8c_ard_3-2-0_104082_2021-10-04_final
2021-10-04 10:46:47	ga_ls8c_ard_3-2-0_104083_2021-10-04_final
2021-10-09 10:59:46	ga_ls8c_ard_3-2-0_107069_2021-10-09_final
2021-10-09 11:00:10	ga_ls8c_ard_3-2-0_107070_2021-10-09_final
2021-10-09 11:00:34	ga_ls8c_ard_3-2-0_107071_2021-10-09_final
2021-10-09 11:00:58	ga_ls8c_ard_3-2-0_107072_2021-10-09_final
2021-10-09 11:01:22	ga_ls8c_ard_3-2-0_107073_2021-10-09_final
2021-10-09 11:01:46	ga_ls8c_ard_3-2-0_107074_2021-10-09_final
2021-10-11 10:51:00	ga_ls8c_ard_3-2-0_105078_2021-10-11_final
2021-10-11 10:51:24	ga_ls8c_ard_3-2-0_105079_2021-10-11_final
2021-10-11 10:51:48	ga_ls8c_ard_3-2-0_105080_2021-10-11_final
2021-10-11 10:52:12	ga_ls8c_ard_3-2-0_105081_2021-10-11_final
2021-10-11 10:52:36	ga_ls8c_ard_3-2-0_105082_2021-10-11_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