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
2015-01-08 09:36:05	ga_ls8c_ard_3-0-0_093077_2015-01-08_final
2015-01-08 09:36:29	ga_ls8c_ard_3-0-0_093078_2015-01-08_final
2015-01-08 09:36:53	ga_ls8c_ard_3-0-0_093079_2015-01-08_final
2015-01-08 09:37:17	ga_ls8c_ard_3-0-0_093080_2015-01-08_final
2015-01-08 09:37:41	ga_ls8c_ard_3-0-0_093081_2015-01-08_final
2015-01-08 09:38:05	ga_ls8c_ard_3-0-0_093082_2015-01-08_final
2015-01-08 09:38:29	ga_ls8c_ard_3-0-0_093083_2015-01-08_final
2015-01-10 09:26:55	ga_ls8c_ard_3-0-0_091085_2015-01-09_final
2015-01-10 09:27:19	ga_ls8c_ard_3-0-0_091086_2015-01-09_final
2015-01-10 09:27:43	ga_ls8c_ard_3-0-0_091087_2015-01-09_final
2015-01-10 09:28:07	ga_ls8c_ard_3-0-0_091088_2015-01-09_final
2015-01-10 09:28:31	ga_ls8c_ard_3-0-0_091089_2015-01-09_final
2015-01-10 09:28:55	ga_ls8c_ard_3-0-0_091090_2015-01-09_final
2015-01-13 09:50:38	ga_ls8c_ard_3-0-0_096067_2015-01-13_final
2015-01-24 09:35:59	ga_ls8c_ard_3-0-0_093077_2015-01-24_final
2015-01-24 09:36:23	ga_ls8c_ard_3-0-0_093078_2015-01-24_final
2015-01-24 09:36:47	ga_ls8c_ard_3-0-0_093079_2015-01-24_final
2015-01-24 09:37:11	ga_ls8c_ard_3-0-0_093080_2015-01-24_final
2015-01-24 09:37:35	ga_ls8c_ard_3-0-0_093081_2015-01-24_final
2015-01-24 09:37:59	ga_ls8c_ard_3-0-0_093082_2015-01-24_final
2015-01-24 09:38:23	ga_ls8c_ard_3-0-0_093083_2015-01-24_final
2015-01-26 09:26:49	ga_ls8c_ard_3-0-0_091085_2015-01-25_final
2015-01-26 09:27:13	ga_ls8c_ard_3-0-0_091086_2015-01-25_final
2015-01-26 09:27:37	ga_ls8c_ard_3-0-0_091087_2015-01-25_final
2015-01-26 09:28:01	ga_ls8c_ard_3-0-0_091088_2015-01-25_final
2015-01-26 09:28:25	ga_ls8c_ard_3-0-0_091089_2015-01-25_final
2015-01-26 09:28:49	ga_ls8c_ard_3-0-0_091090_2015-01-25_final
2015-01-29 09:50:33	ga_ls8c_ard_3-0-0_096067_2015-01-29_final
2015-03-13 09:35:38	ga_ls8c_ard_3-0-0_093077_2015-03-13_final
2015-03-13 09:36:02	ga_ls8c_ard_3-0-0_093078_2015-03-13_final
2015-03-13 09:36:26	ga_ls8c_ard_3-0-0_093079_2015-03-13_final
2015-03-13 09:36:50	ga_ls8c_ard_3-0-0_093080_2015-03-13_final
2015-03-13 09:37:14	ga_ls8c_ard_3-0-0_093081_2015-03-13_final
2015-03-13 09:37:38	ga_ls8c_ard_3-0-0_093082_2015-03-13_final
2015-03-13 09:38:02	ga_ls8c_ard_3-0-0_093083_2015-03-13_final
2015-03-15 09:26:28	ga_ls8c_ard_3-0-0_091085_2015-03-14_final
2015-03-15 09:26:52	ga_ls8c_ard_3-0-0_091086_2015-03-14_final
2015-03-15 09:27:16	ga_ls8c_ard_3-0-0_091087_2015-03-14_final
2015-03-15 09:27:40	ga_ls8c_ard_3-0-0_091088_2015-03-14_final
2015-03-15 09:28:04	ga_ls8c_ard_3-0-0_091089_2015-03-14_final
2015-03-15 09:28:28	ga_ls8c_ard_3-0-0_091090_2015-03-14_final
2015-03-18 09:50:11	ga_ls8c_ard_3-0-0_096067_2015-03-18_final
2015-03-29 09:35:30	ga_ls8c_ard_3-0-0_093077_2015-03-29_final
2015-03-29 09:35:54	ga_ls8c_ard_3-0-0_093078_2015-03-29_final
2015-03-29 09:36:18	ga_ls8c_ard_3-0-0_093079_2015-03-29_final
2015-03-29 09:36:42	ga_ls8c_ard_3-0-0_093080_2015-03-29_final
2015-03-29 09:37:06	ga_ls8c_ard_3-0-0_093081_2015-03-29_final
2015-03-29 09:37:30	ga_ls8c_ard_3-0-0_093082_2015-03-29_final
2015-03-29 09:37:54	ga_ls8c_ard_3-0-0_093083_2015-03-29_final
2015-03-31 09:26:18	ga_ls8c_ard_3-0-0_091085_2015-03-30_final
2015-03-31 09:26:42	ga_ls8c_ard_3-0-0_091086_2015-03-30_final
2015-03-31 09:27:06	ga_ls8c_ard_3-0-0_091087_2015-03-30_final
2015-03-31 09:27:30	ga_ls8c_ard_3-0-0_091088_2015-03-30_final
2015-03-31 09:27:54	ga_ls8c_ard_3-0-0_091089_2015-03-30_final
2015-03-31 09:28:18	ga_ls8c_ard_3-0-0_091090_2015-03-30_final
2016-10-16 09:40:57	ga_ls8c_ard_3-0-0_094073_2016-10-16_final
2016-10-16 09:41:21	ga_ls8c_ard_3-0-0_094074_2016-10-16_final
2016-10-16 09:41:45	ga_ls8c_ard_3-0-0_094075_2016-10-16_final
2016-10-16 09:42:09	ga_ls8c_ard_3-0-0_094076_2016-10-16_final
2016-10-16 09:42:33	ga_ls8c_ard_3-0-0_094077_2016-10-16_final
2016-10-16 09:42:57	ga_ls8c_ard_3-0-0_094078_2016-10-16_final
2016-10-27 09:27:13	ga_ls8c_ard_3-0-0_091085_2016-10-26_final
2016-10-27 09:27:37	ga_ls8c_ard_3-0-0_091086_2016-10-26_final
2016-10-27 09:28:01	ga_ls8c_ard_3-0-0_091087_2016-10-26_final
2016-10-27 09:28:25	ga_ls8c_ard_3-0-0_091088_2016-10-26_final
2016-10-27 09:28:49	ga_ls8c_ard_3-0-0_091089_2016-10-26_final
2016-10-27 09:29:13	ga_ls8c_ard_3-0-0_091090_2016-10-26_final
2016-11-21 09:22:14	ga_ls8c_ard_3-0-0_090088_2016-11-20_final
2016-12-10 09:45:54	ga_ls8c_ard_3-0-0_095070_2016-12-10_final
2016-12-10 09:46:18	ga_ls8c_ard_3-0-0_095071_2016-12-10_final
2016-12-10 09:46:42	ga_ls8c_ard_3-0-0_095072_2016-12-10_final
2016-12-10 09:47:06	ga_ls8c_ard_3-0-0_095073_2016-12-10_final
2016-12-10 09:47:30	ga_ls8c_ard_3-0-0_095074_2016-12-10_final
2017-01-24 09:22:24	ga_ls8c_ard_3-0-0_090089_2017-01-23_final
2017-01-24 09:22:48	ga_ls8c_ard_3-0-0_090090_2017-01-23_final
2017-01-24 09:23:12	ga_ls8c_ard_3-0-0_090091_2017-01-23_final
2017-01-27 09:45:41	ga_ls8c_ard_3-0-0_095070_2017-01-27_final
2017-01-27 09:46:05	ga_ls8c_ard_3-0-0_095071_2017-01-27_final
2017-01-27 09:46:29	ga_ls8c_ard_3-0-0_095072_2017-01-27_final
2017-01-27 09:46:53	ga_ls8c_ard_3-0-0_095073_2017-01-27_final
2017-01-27 09:47:17	ga_ls8c_ard_3-0-0_095074_2017-01-27_final
2017-02-21 09:40:32	ga_ls8c_ard_3-0-0_094073_2017-02-21_final
2017-02-21 09:40:56	ga_ls8c_ard_3-0-0_094074_2017-02-21_final
2017-02-21 09:41:20	ga_ls8c_ard_3-0-0_094075_2017-02-21_final
2017-02-21 09:41:44	ga_ls8c_ard_3-0-0_094076_2017-02-21_final
2017-02-21 09:42:08	ga_ls8c_ard_3-0-0_094077_2017-02-21_final
2017-02-21 09:42:31	ga_ls8c_ard_3-0-0_094078_2017-02-21_final
2017-02-21 09:42:55	ga_ls8c_ard_3-0-0_094079_2017-02-21_final
2017-03-02 09:35:53	ga_ls8c_ard_3-0-0_093077_2017-03-02_final
2017-03-02 09:36:17	ga_ls8c_ard_3-0-0_093078_2017-03-02_final
2017-03-02 09:36:41	ga_ls8c_ard_3-0-0_093079_2017-03-02_final
2017-03-02 09:37:05	ga_ls8c_ard_3-0-0_093080_2017-03-02_final
2017-03-02 09:37:29	ga_ls8c_ard_3-0-0_093081_2017-03-02_final
2017-03-02 09:37:53	ga_ls8c_ard_3-0-0_093082_2017-03-02_final
2017-03-02 09:38:17	ga_ls8c_ard_3-0-0_093083_2017-03-02_final
2017-03-04 09:26:42	ga_ls8c_ard_3-0-0_091085_2017-03-03_final
2017-03-04 09:27:06	ga_ls8c_ard_3-0-0_091086_2017-03-03_final
2017-03-04 09:27:30	ga_ls8c_ard_3-0-0_091087_2017-03-03_final
2017-03-04 09:27:54	ga_ls8c_ard_3-0-0_091088_2017-03-03_final
2017-03-04 09:28:18	ga_ls8c_ard_3-0-0_091089_2017-03-03_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