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
2013-12-24 10:48:52	ga_ls8c_ard_3-0-0_105070_2013-12-24_final
2013-12-26 10:38:05	ga_ls8c_ard_3-0-0_103074_2013-12-26_final
2013-12-26 10:38:29	ga_ls8c_ard_3-0-0_103075_2013-12-26_final
2013-12-26 10:38:53	ga_ls8c_ard_3-0-0_103076_2013-12-26_final
2013-12-26 10:39:17	ga_ls8c_ard_3-0-0_103077_2013-12-26_final
2013-12-26 10:39:41	ga_ls8c_ard_3-0-0_103078_2013-12-26_final
2013-12-26 10:40:05	ga_ls8c_ard_3-1-0_103079_2013-12-26_final
2013-12-26 10:40:29	ga_ls8c_ard_3-0-0_103080_2013-12-26_final
2016-06-16 10:40:55	ga_ls8c_ard_3-0-0_104070_2016-06-16_final
2016-06-16 10:41:19	ga_ls8c_ard_3-0-0_104071_2016-06-16_final
2016-06-16 10:41:43	ga_ls8c_ard_3-0-0_104072_2016-06-16_final
2016-06-23 10:45:59	ga_ls8c_ard_3-0-0_105067_2016-06-23_final
2016-06-23 10:46:23	ga_ls8c_ard_3-0-0_105068_2016-06-23_final
2016-06-23 10:46:47	ga_ls8c_ard_3-0-0_105069_2016-06-23_final
2016-06-23 10:47:11	ga_ls8c_ard_3-0-0_105070_2016-06-23_final
2016-06-25 10:36:26	ga_ls8c_ard_3-0-0_103074_2016-06-25_final
2016-06-25 10:36:50	ga_ls8c_ard_3-0-0_103075_2016-06-25_final
2016-06-25 10:37:14	ga_ls8c_ard_3-0-0_103076_2016-06-25_final
2016-06-25 10:37:38	ga_ls8c_ard_3-0-0_103077_2016-06-25_final
2016-06-25 10:38:02	ga_ls8c_ard_3-0-0_103078_2016-06-25_final
2016-06-25 10:38:26	ga_ls8c_ard_3-1-0_103079_2016-06-25_final
2016-06-25 10:38:50	ga_ls8c_ard_3-0-0_103080_2016-06-25_final
2016-09-06 10:32:40	ga_ls8c_ard_3-0-0_102079_2016-09-06_final
2016-09-06 10:33:04	ga_ls8c_ard_3-1-0_102080_2016-09-06_final
2016-09-06 10:33:28	ga_ls8c_ard_3-0-0_102081_2016-09-06_final
2016-09-06 10:33:52	ga_ls8c_ard_3-0-0_102082_2016-09-06_final
2016-09-06 10:34:16	ga_ls8c_ard_3-0-0_102083_2016-09-06_final
2016-09-15 10:28:06	ga_ls8c_ard_3-0-0_101083_2016-09-15_final
2016-09-15 10:28:30	ga_ls8c_ard_3-0-0_101084_2016-09-15_final
2016-09-29 10:36:52	ga_ls8c_ard_3-0-0_103074_2016-09-29_final
2016-09-29 10:37:16	ga_ls8c_ard_3-0-0_103075_2016-09-29_final
2016-09-29 10:37:40	ga_ls8c_ard_3-0-0_103076_2016-09-29_final
2016-09-29 10:38:04	ga_ls8c_ard_3-0-0_103077_2016-09-29_final
2016-09-29 10:38:28	ga_ls8c_ard_3-0-0_103078_2016-09-29_final
2016-09-29 10:38:52	ga_ls8c_ard_3-0-0_103079_2016-09-29_final
2016-09-29 10:39:16	ga_ls8c_ard_3-0-0_103080_2016-09-29_final
2016-10-01 10:28:07	ga_ls8c_ard_3-0-0_101083_2016-10-01_final
2016-10-01 10:28:31	ga_ls8c_ard_3-0-0_101084_2016-10-01_final
2016-10-13 10:46:32	ga_ls8c_ard_3-0-0_105067_2016-10-13_final
2016-10-13 10:46:56	ga_ls8c_ard_3-0-0_105068_2016-10-13_final
2016-10-13 10:47:20	ga_ls8c_ard_3-0-0_105069_2016-10-13_final
2016-10-13 10:47:44	ga_ls8c_ard_3-0-0_105070_2016-10-13_final
2019-07-11 10:41:10	ga_ls8c_ard_3-1-0_104070_2019-07-11_final
2019-07-11 10:41:34	ga_ls8c_ard_3-1-0_104071_2019-07-11_final
2019-07-11 10:41:58	ga_ls8c_ard_3-1-0_104072_2019-07-11_final
2019-07-11 10:42:22	ga_ls8c_ard_3-1-0_104073_2019-07-11_final
2019-07-11 10:42:45	ga_ls8c_ard_3-1-0_104074_2019-07-11_final
2019-07-11 10:43:09	ga_ls8c_ard_3-1-0_104075_2019-07-11_final
2019-07-13 10:32:24	ga_ls8c_ard_3-1-0_102079_2019-07-13_final
2019-07-13 10:32:48	ga_ls8c_ard_3-1-0_102080_2019-07-13_final
2019-07-13 10:33:12	ga_ls8c_ard_3-1-0_102081_2019-07-13_final
2019-07-13 10:33:36	ga_ls8c_ard_3-1-0_102082_2019-07-13_final
2019-07-13 10:34:00	ga_ls8c_ard_3-1-0_102083_2019-07-13_final
2019-08-12 10:41:21	ga_ls8c_ard_3-1-0_104070_2019-08-12_final
2019-08-12 10:41:45	ga_ls8c_ard_3-1-0_104071_2019-08-12_final
2019-08-12 10:42:09	ga_ls8c_ard_3-1-0_104072_2019-08-12_final
2019-08-12 10:42:33	ga_ls8c_ard_3-1-0_104073_2019-08-12_final
2019-08-12 10:42:56	ga_ls8c_ard_3-1-0_104074_2019-08-12_final
2019-08-12 10:43:20	ga_ls8c_ard_3-1-0_104075_2019-08-12_final
2019-08-14 10:32:35	ga_ls8c_ard_3-1-0_102079_2019-08-14_final
2019-08-14 10:32:59	ga_ls8c_ard_3-1-0_102080_2019-08-14_final
2019-08-14 10:33:23	ga_ls8c_ard_3-1-0_102081_2019-08-14_final
2019-08-14 10:33:47	ga_ls8c_ard_3-1-0_102082_2019-08-14_final
2019-08-14 10:34:11	ga_ls8c_ard_3-1-0_102083_2019-08-14_final
2019-08-19 10:46:22	ga_ls8c_ard_3-1-0_105067_2019-08-19_final
2019-08-19 10:46:46	ga_ls8c_ard_3-1-0_105068_2019-08-19_final
2019-08-19 10:47:10	ga_ls8c_ard_3-1-0_105069_2019-08-19_final
2019-08-19 10:47:34	ga_ls8c_ard_3-1-0_105070_2019-08-19_final
2019-08-28 10:41:25	ga_ls8c_ard_3-1-0_104070_2019-08-28_final
2019-08-28 10:41:49	ga_ls8c_ard_3-1-0_104071_2019-08-28_final
2019-08-28 10:42:13	ga_ls8c_ard_3-1-0_104072_2019-08-28_final
2019-08-28 10:42:37	ga_ls8c_ard_3-1-0_104073_2019-08-28_final
2019-08-28 10:43:01	ga_ls8c_ard_3-1-0_104074_2019-08-28_final
2019-08-28 10:43:25	ga_ls8c_ard_3-1-0_104075_2019-08-28_final
2019-08-30 10:32:39	ga_ls8c_ard_3-1-0_102079_2019-08-30_final
2019-08-30 10:33:03	ga_ls8c_ard_3-1-0_102080_2019-08-30_final
2019-08-30 10:33:27	ga_ls8c_ard_3-1-0_102081_2019-08-30_final
2019-08-30 10:33:51	ga_ls8c_ard_3-1-0_102082_2019-08-30_final
2019-08-30 10:34:15	ga_ls8c_ard_3-1-0_102083_2019-08-30_final
2019-09-06 10:36:51	ga_ls8c_ard_3-1-0_103074_2019-09-06_final
2019-09-06 10:37:15	ga_ls8c_ard_3-1-0_103075_2019-09-06_final
2019-09-06 10:37:39	ga_ls8c_ard_3-1-0_103076_2019-09-06_final
2019-09-06 10:38:03	ga_ls8c_ard_3-1-0_103077_2019-09-06_final
2019-09-06 10:38:27	ga_ls8c_ard_3-1-0_103078_2019-09-06_final
2019-09-06 10:38:51	ga_ls8c_ard_3-1-0_103079_2019-09-06_final
2019-09-06 10:39:15	ga_ls8c_ard_3-1-0_103080_2019-09-06_final
2019-09-08 10:28:06	ga_ls8c_ard_3-1-0_101083_2019-09-08_final
2019-09-08 10:28:30	ga_ls8c_ard_3-1-0_101084_2019-09-08_final
2019-10-22 10:46:36	ga_ls8c_ard_3-1-0_105067_2019-10-22_final
2019-10-22 10:47:00	ga_ls8c_ard_3-1-0_105068_2019-10-22_final
2019-10-22 10:47:24	ga_ls8c_ard_3-1-0_105069_2019-10-22_final
2019-10-22 10:47:48	ga_ls8c_ard_3-1-0_105070_2019-10-22_final
2019-10-24 10:37:02	ga_ls8c_ard_3-1-0_103074_2019-10-24_final
2019-10-24 10:37:26	ga_ls8c_ard_3-1-0_103075_2019-10-24_final
2019-10-24 10:37:50	ga_ls8c_ard_3-1-0_103076_2019-10-24_final
2019-10-24 10:38:14	ga_ls8c_ard_3-1-0_103077_2019-10-24_final
2019-10-24 10:38:38	ga_ls8c_ard_3-1-0_103078_2019-10-24_final
2019-10-24 10:39:02	ga_ls8c_ard_3-1-0_103079_2019-10-24_final
2019-10-24 10:39:26	ga_ls8c_ard_3-1-0_103080_2019-10-24_final
2019-10-26 10:28:16	ga_ls8c_ard_3-1-0_101083_2019-10-26_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