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
2014-07-09 09:30:06	ga_ls8c_ard_3-0-0_092078_2014-07-09_final
2014-07-09 09:30:30	ga_ls8c_ard_3-0-0_092079_2014-07-09_final
2014-07-09 09:30:54	ga_ls8c_ard_3-0-0_092080_2014-07-09_final
2014-07-09 09:31:18	ga_ls8c_ard_3-0-0_092081_2014-07-09_final
2014-07-09 09:31:42	ga_ls8c_ard_3-0-0_092082_2014-07-09_final
2014-07-09 09:32:06	ga_ls8c_ard_3-0-0_092083_2014-07-09_final
2014-08-12 09:20:44	ga_ls8c_ard_3-0-0_090085_2014-08-11_final
2014-08-12 09:21:08	ga_ls8c_ard_3-0-0_090086_2014-08-11_final
2014-08-12 09:21:32	ga_ls8c_ard_3-0-0_090087_2014-08-11_final
2014-08-12 09:21:56	ga_ls8c_ard_3-0-0_090088_2014-08-11_final
2014-08-12 09:22:20	ga_ls8c_ard_3-0-0_090089_2014-08-11_final
2014-09-02 09:34:33	ga_ls8c_ard_3-0-0_093073_2014-09-02_final
2014-09-02 09:34:57	ga_ls8c_ard_3-0-0_093074_2014-09-02_final
2014-09-02 09:35:21	ga_ls8c_ard_3-0-0_093075_2014-09-02_final
2014-09-02 09:35:45	ga_ls8c_ard_3-0-0_093076_2014-09-02_final
2014-09-02 09:36:09	ga_ls8c_ard_3-0-0_093077_2014-09-02_final
2014-09-02 09:36:33	ga_ls8c_ard_3-0-0_093078_2014-09-02_final
2014-09-02 09:36:56	ga_ls8c_ard_3-0-0_093079_2014-09-02_final
2014-09-04 09:25:47	ga_ls8c_ard_3-0-0_091082_2014-09-03_final
2014-09-04 09:26:11	ga_ls8c_ard_3-0-0_091083_2014-09-03_final
2014-09-04 09:26:35	ga_ls8c_ard_3-0-0_091084_2014-09-03_final
2014-09-04 09:26:59	ga_ls8c_ard_3-0-0_091085_2014-09-03_final
2014-09-04 09:27:23	ga_ls8c_ard_3-0-0_091086_2014-09-03_final
2014-09-04 09:27:47	ga_ls8c_ard_3-0-0_091087_2014-09-03_final
2014-11-21 09:34:35	ga_ls8c_ard_3-0-0_093073_2014-11-21_final
2014-11-21 09:34:59	ga_ls8c_ard_3-0-0_093074_2014-11-21_final
2014-11-21 09:35:23	ga_ls8c_ard_3-0-0_093075_2014-11-21_final
2014-11-21 09:35:47	ga_ls8c_ard_3-0-0_093076_2014-11-21_final
2014-11-21 09:36:11	ga_ls8c_ard_3-0-0_093077_2014-11-21_final
2014-11-21 09:36:35	ga_ls8c_ard_3-0-0_093078_2014-11-21_final
2014-11-21 09:36:59	ga_ls8c_ard_3-0-0_093079_2014-11-21_final
2014-11-23 09:25:51	ga_ls8c_ard_3-0-0_091082_2014-11-22_final
2014-11-23 09:26:14	ga_ls8c_ard_3-0-0_091083_2014-11-22_final
2014-11-23 09:26:38	ga_ls8c_ard_3-0-0_091084_2014-11-22_final
2014-11-23 09:27:02	ga_ls8c_ard_3-0-0_091085_2014-11-22_final
2014-11-23 09:27:26	ga_ls8c_ard_3-0-0_091086_2014-11-22_final
2014-11-23 09:27:50	ga_ls8c_ard_3-0-0_091087_2014-11-22_final
2018-02-15 09:44:13	ga_ls8c_ard_3-0-0_095067_2018-02-15_final
2018-02-17 09:34:14	ga_ls8c_ard_3-0-0_093073_2018-02-17_final
2018-02-17 09:34:38	ga_ls8c_ard_3-0-0_093074_2018-02-17_final
2018-02-17 09:35:02	ga_ls8c_ard_3-0-0_093075_2018-02-17_final
2018-02-17 09:35:26	ga_ls8c_ard_3-0-0_093076_2018-02-17_final
2018-02-17 09:35:50	ga_ls8c_ard_3-0-0_093077_2018-02-17_final
2018-02-17 09:36:14	ga_ls8c_ard_3-0-0_093078_2018-02-17_final
2018-02-17 09:36:38	ga_ls8c_ard_3-0-0_093079_2018-02-17_final
2018-03-05 09:34:07	ga_ls8c_ard_3-0-0_093073_2018-03-05_final
2018-03-05 09:34:31	ga_ls8c_ard_3-0-0_093074_2018-03-05_final
2018-03-05 09:34:54	ga_ls8c_ard_3-0-0_093075_2018-03-05_final
2018-03-05 09:35:18	ga_ls8c_ard_3-0-0_093076_2018-03-05_final
2018-03-05 09:35:42	ga_ls8c_ard_3-0-0_093077_2018-03-05_final
2018-03-05 09:36:06	ga_ls8c_ard_3-0-0_093078_2018-03-05_final
2018-03-05 09:36:30	ga_ls8c_ard_3-0-0_093079_2018-03-05_final
2018-03-07 09:25:19	ga_ls8c_ard_3-0-0_091082_2018-03-06_final
2018-03-07 09:25:43	ga_ls8c_ard_3-0-0_091083_2018-03-06_final
2018-03-07 09:26:07	ga_ls8c_ard_3-0-0_091084_2018-03-06_final
2018-03-07 09:26:31	ga_ls8c_ard_3-0-0_091085_2018-03-06_final
2018-03-07 09:26:55	ga_ls8c_ard_3-0-0_091086_2018-03-06_final
2018-03-07 09:27:19	ga_ls8c_ard_3-0-0_091087_2018-03-06_final
2018-05-10 09:24:45	ga_ls8c_ard_3-0-0_091082_2018-05-09_final
2018-05-10 09:25:09	ga_ls8c_ard_3-0-0_091083_2018-05-09_final
2018-05-10 09:25:33	ga_ls8c_ard_3-0-0_091084_2018-05-09_final
2018-05-10 09:25:57	ga_ls8c_ard_3-0-0_091085_2018-05-09_final
2018-05-10 09:26:21	ga_ls8c_ard_3-0-0_091086_2018-05-09_final
2018-05-10 09:26:45	ga_ls8c_ard_3-0-0_091087_2018-05-09_final
2018-05-24 09:33:20	ga_ls8c_ard_3-0-0_093073_2018-05-24_final
2018-05-24 09:33:44	ga_ls8c_ard_3-0-0_093074_2018-05-24_final
2018-05-24 09:34:08	ga_ls8c_ard_3-1-0_093075_2018-05-24_final
2018-05-24 09:34:32	ga_ls8c_ard_3-0-0_093076_2018-05-24_final
2018-05-24 09:34:56	ga_ls8c_ard_3-0-0_093077_2018-05-24_final
2018-05-24 09:35:20	ga_ls8c_ard_3-0-0_093078_2018-05-24_final
2018-05-24 09:35:44	ga_ls8c_ard_3-0-0_093079_2018-05-24_final
2018-05-26 09:24:33	ga_ls8c_ard_3-0-0_091082_2018-05-25_final
2018-05-26 09:24:57	ga_ls8c_ard_3-0-0_091083_2018-05-25_final
2018-05-26 09:25:21	ga_ls8c_ard_3-0-0_091084_2018-05-25_final
2018-05-26 09:25:45	ga_ls8c_ard_3-0-0_091085_2018-05-25_final
2018-05-26 09:26:08	ga_ls8c_ard_3-0-0_091086_2018-05-25_final
2018-05-26 09:26:32	ga_ls8c_ard_3-0-0_091087_2018-05-25_final
2023-03-19 09:34:21	ga_ls8c_ard_3-2-1_093073_2023-03-19_final
2023-03-19 09:34:45	ga_ls8c_ard_3-2-1_093074_2023-03-19_final
2023-03-19 09:35:09	ga_ls8c_ard_3-2-1_093075_2023-03-19_final
2023-03-19 09:35:33	ga_ls8c_ard_3-2-1_093076_2023-03-19_final
2023-03-19 09:35:57	ga_ls8c_ard_3-2-1_093077_2023-03-19_final
2023-03-19 09:36:21	ga_ls8c_ard_3-2-1_093078_2023-03-19_final
2023-03-19 09:36:45	ga_ls8c_ard_3-2-1_093079_2023-03-19_final
2023-03-21 09:25:33	ga_ls8c_ard_3-2-1_091082_2023-03-20_final
2023-03-21 09:25:57	ga_ls8c_ard_3-2-1_091083_2023-03-20_final
2023-03-21 09:26:21	ga_ls8c_ard_3-2-1_091084_2023-03-20_final
2023-03-21 09:26:45	ga_ls8c_ard_3-2-1_091085_2023-03-20_final
2023-03-21 09:27:09	ga_ls8c_ard_3-2-1_091086_2023-03-20_final
2023-03-21 09:27:33	ga_ls8c_ard_3-2-1_091087_2023-03-20_final
2023-03-23 09:15:57	ga_ls8c_ard_3-2-1_089089_2023-03-22_final
2023-03-23 09:16:21	ga_ls8c_ard_3-2-1_089090_2023-03-22_final
2023-04-20 09:33:57	ga_ls8c_ard_3-2-1_093073_2023-04-20_final
2023-04-20 09:34:21	ga_ls8c_ard_3-2-1_093074_2023-04-20_final
2023-04-20 09:34:45	ga_ls8c_ard_3-2-1_093075_2023-04-20_final
2023-04-20 09:35:09	ga_ls8c_ard_3-2-1_093076_2023-04-20_final
2023-04-20 09:35:33	ga_ls8c_ard_3-2-1_093077_2023-04-20_final
2023-04-20 09:35:57	ga_ls8c_ard_3-2-1_093078_2023-04-20_final
2023-04-20 09:36:20	ga_ls8c_ard_3-2-1_093079_2023-04-20_final
2023-04-24 09:15:37	ga_ls8c_ard_3-2-1_089089_2023-04-23_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