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
2014-08-22 09:50:40	ga_ls8c_ard_3-0-0_096067_2014-08-22_final
2014-08-24 09:40:18	ga_ls8c_ard_3-0-0_094072_2014-08-24_final
2014-08-24 09:40:42	ga_ls8c_ard_3-0-0_094073_2014-08-24_final
2014-08-24 09:41:06	ga_ls8c_ard_3-0-0_094074_2014-08-24_final
2014-08-24 09:41:30	ga_ls8c_ard_3-0-0_094075_2014-08-24_final
2014-08-24 09:41:54	ga_ls8c_ard_3-0-0_094076_2014-08-24_final
2014-08-24 09:42:18	ga_ls8c_ard_3-0-0_094077_2014-08-24_final
2014-08-24 09:42:42	ga_ls8c_ard_3-0-0_094078_2014-08-24_final
2014-11-10 09:50:49	ga_ls8c_ard_3-0-0_096067_2014-11-10_final
2014-11-12 09:40:27	ga_ls8c_ard_3-0-0_094072_2014-11-12_final
2014-11-12 09:40:51	ga_ls8c_ard_3-0-0_094073_2014-11-12_final
2014-11-12 09:41:15	ga_ls8c_ard_3-0-0_094074_2014-11-12_final
2014-11-12 09:41:39	ga_ls8c_ard_3-0-0_094075_2014-11-12_final
2014-11-12 09:42:03	ga_ls8c_ard_3-0-0_094076_2014-11-12_final
2014-11-12 09:42:27	ga_ls8c_ard_3-0-0_094077_2014-11-12_final
2014-11-12 09:42:51	ga_ls8c_ard_3-0-0_094078_2014-11-12_final
2015-08-09 09:50:14	ga_ls8c_ard_3-0-0_096067_2015-08-09_final
2015-08-09 09:50:38	ga_ls8c_ard_3-0-0_096068_2015-08-09_final
2015-08-25 09:50:22	ga_ls8c_ard_3-0-0_096067_2015-08-25_final
2015-08-25 09:50:46	ga_ls8c_ard_3-0-0_096068_2015-08-25_final
2015-11-06 09:44:31	ga_ls8c_ard_3-0-0_095067_2015-11-06_final
2015-11-06 09:45:43	ga_ls8c_ard_3-0-0_095070_2015-11-06_final
2015-11-06 09:46:07	ga_ls8c_ard_3-0-0_095071_2015-11-06_final
2015-11-06 09:46:31	ga_ls8c_ard_3-0-0_095072_2015-11-06_final
2015-11-06 09:46:55	ga_ls8c_ard_3-0-0_095073_2015-11-06_final
2015-11-22 09:44:33	ga_ls8c_ard_3-0-0_095067_2015-11-22_final
2015-11-22 09:45:45	ga_ls8c_ard_3-0-0_095070_2015-11-22_final
2015-11-22 09:46:09	ga_ls8c_ard_3-0-0_095071_2015-11-22_final
2015-11-22 09:46:33	ga_ls8c_ard_3-0-0_095072_2015-11-22_final
2015-11-22 09:46:57	ga_ls8c_ard_3-0-0_095073_2015-11-22_final
2015-11-24 09:35:47	ga_ls8c_ard_3-0-0_093076_2015-11-24_final
2015-11-24 09:36:11	ga_ls8c_ard_3-0-0_093077_2015-11-24_final
2015-11-24 09:36:35	ga_ls8c_ard_3-0-0_093078_2015-11-24_final
2015-11-24 09:36:59	ga_ls8c_ard_3-0-0_093079_2015-11-24_final
2015-11-24 09:37:23	ga_ls8c_ard_3-0-0_093080_2015-11-24_final
2015-11-24 09:37:47	ga_ls8c_ard_3-0-0_093081_2015-11-24_final
2015-11-24 09:38:11	ga_ls8c_ard_3-0-0_093082_2015-11-24_final
2015-11-26 09:26:37	ga_ls8c_ard_3-0-0_091084_2015-11-25_final
2015-11-26 09:27:01	ga_ls8c_ard_3-0-0_091085_2015-11-25_final
2015-11-26 09:27:25	ga_ls8c_ard_3-0-0_091086_2015-11-25_final
2015-11-26 09:27:49	ga_ls8c_ard_3-0-0_091087_2015-11-25_final
2015-11-26 09:28:13	ga_ls8c_ard_3-0-0_091088_2015-11-25_final
2015-11-26 09:28:37	ga_ls8c_ard_3-0-0_091089_2015-11-25_final
2015-11-26 09:29:01	ga_ls8c_ard_3-0-0_091090_2015-11-25_final
2015-11-29 09:50:44	ga_ls8c_ard_3-0-0_096067_2015-11-29_final
2015-11-29 09:51:08	ga_ls8c_ard_3-0-0_096068_2015-11-29_final
2015-12-12 09:26:35	ga_ls8c_ard_3-0-0_091084_2015-12-11_final
2015-12-12 09:26:59	ga_ls8c_ard_3-0-0_091085_2015-12-11_final
2015-12-12 09:27:23	ga_ls8c_ard_3-0-0_091086_2015-12-11_final
2015-12-12 09:27:47	ga_ls8c_ard_3-0-0_091087_2015-12-11_final
2015-12-12 09:28:11	ga_ls8c_ard_3-0-0_091088_2015-12-11_final
2015-12-12 09:28:35	ga_ls8c_ard_3-0-0_091089_2015-12-11_final
2015-12-12 09:28:59	ga_ls8c_ard_3-0-0_091090_2015-12-11_final
2019-07-30 09:36:05	ga_ls8c_ard_3-1-0_093077_2019-07-30_final
2019-07-30 09:36:28	ga_ls8c_ard_3-1-0_093078_2019-07-30_final
2019-07-30 09:36:52	ga_ls8c_ard_3-1-0_093079_2019-07-30_final
2019-07-30 09:37:16	ga_ls8c_ard_3-1-0_093080_2019-07-30_final
2019-07-30 09:37:40	ga_ls8c_ard_3-1-0_093081_2019-07-30_final
2019-07-30 09:38:04	ga_ls8c_ard_3-1-0_093082_2019-07-30_final
2019-08-01 09:26:31	ga_ls8c_ard_3-1-0_091084_2019-07-31_final
2019-08-01 09:26:55	ga_ls8c_ard_3-1-0_091085_2019-07-31_final
2019-08-01 09:27:19	ga_ls8c_ard_3-1-0_091086_2019-07-31_final
2019-08-01 09:27:43	ga_ls8c_ard_3-1-0_091087_2019-07-31_final
2019-08-01 09:28:07	ga_ls8c_ard_3-1-0_091088_2019-07-31_final
2019-08-01 09:28:31	ga_ls8c_ard_3-1-0_091089_2019-07-31_final
2019-08-01 09:28:55	ga_ls8c_ard_3-1-0_091090_2019-07-31_final
2019-08-26 09:22:04	ga_ls8c_ard_3-1-0_090088_2019-08-25_final
2019-08-26 09:22:28	ga_ls8c_ard_3-1-0_090089_2019-08-25_final
2019-08-26 09:22:52	ga_ls8c_ard_3-1-0_090090_2019-08-25_final
2019-08-26 09:23:16	ga_ls8c_ard_3-1-0_090091_2019-08-25_final
2019-08-31 09:36:14	ga_ls8c_ard_3-1-0_093077_2019-08-31_final
2019-08-31 09:36:38	ga_ls8c_ard_3-1-0_093078_2019-08-31_final
2019-08-31 09:37:02	ga_ls8c_ard_3-1-0_093079_2019-08-31_final
2019-08-31 09:37:26	ga_ls8c_ard_3-1-0_093080_2019-08-31_final
2019-08-31 09:37:50	ga_ls8c_ard_3-1-0_093081_2019-08-31_final
2019-08-31 09:38:14	ga_ls8c_ard_3-1-0_093082_2019-08-31_final
2019-09-02 09:26:40	ga_ls8c_ard_3-1-0_091084_2019-09-01_final
2019-09-02 09:27:04	ga_ls8c_ard_3-1-0_091085_2019-09-01_final
2019-09-02 09:27:28	ga_ls8c_ard_3-1-0_091086_2019-09-01_final
2019-09-02 09:27:52	ga_ls8c_ard_3-1-0_091087_2019-09-01_final
2019-09-02 09:28:16	ga_ls8c_ard_3-1-0_091088_2019-09-01_final
2019-09-02 09:28:40	ga_ls8c_ard_3-1-0_091089_2019-09-01_final
2019-09-02 09:29:04	ga_ls8c_ard_3-1-0_091090_2019-09-01_final
2019-11-03 09:36:01	ga_ls8c_ard_3-1-0_093076_2019-11-03_final
2019-11-03 09:36:25	ga_ls8c_ard_3-1-0_093077_2019-11-03_final
2019-11-03 09:36:49	ga_ls8c_ard_3-1-0_093078_2019-11-03_final
2019-11-03 09:37:13	ga_ls8c_ard_3-1-0_093079_2019-11-03_final
2019-11-03 09:37:37	ga_ls8c_ard_3-1-0_093080_2019-11-03_final
2019-11-03 09:38:01	ga_ls8c_ard_3-1-0_093081_2019-11-03_final
2019-11-03 09:38:25	ga_ls8c_ard_3-1-0_093082_2019-11-03_final
2019-11-05 09:26:51	ga_ls8c_ard_3-1-0_091084_2019-11-04_final
2019-11-05 09:27:15	ga_ls8c_ard_3-1-0_091085_2019-11-04_final
2019-11-05 09:27:39	ga_ls8c_ard_3-1-0_091086_2019-11-04_final
2019-11-05 09:28:03	ga_ls8c_ard_3-1-0_091087_2019-11-04_final
2019-11-05 09:28:27	ga_ls8c_ard_3-1-0_091088_2019-11-04_final
2019-11-05 09:28:51	ga_ls8c_ard_3-1-0_091089_2019-11-04_final
2019-11-05 09:29:15	ga_ls8c_ard_3-1-0_091090_2019-11-04_final
2019-11-14 09:22:14	ga_ls8c_ard_3-1-0_090088_2019-11-13_final
2019-11-14 09:22:38	ga_ls8c_ard_3-1-0_090089_2019-11-13_final
2019-11-14 09:23:02	ga_ls8c_ard_3-1-0_090090_2019-11-13_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