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
2013-04-12 09:14:11	ga_ls8c_ard_3-0-0_089079_2013-04-11_final
2013-04-12 09:14:35	ga_ls8c_ard_3-0-0_089080_2013-04-11_final
2013-04-12 09:14:59	ga_ls8c_ard_3-0-0_089081_2013-04-11_final
2013-04-12 09:15:23	ga_ls8c_ard_3-0-0_089082_2013-04-11_final
2013-04-12 09:15:47	ga_ls8c_ard_3-0-0_089083_2013-04-11_final
2013-04-12 09:16:11	ga_ls8c_ard_3-0-0_089084_2013-04-11_final
2013-04-26 09:23:26	ga_ls8c_ard_3-0-0_091072_2013-04-25_final
2013-04-26 09:23:50	ga_ls8c_ard_3-0-0_091073_2013-04-25_final
2013-04-26 09:24:14	ga_ls8c_ard_3-0-0_091074_2013-04-25_final
2013-04-26 09:24:38	ga_ls8c_ard_3-0-0_091075_2013-04-25_final
2013-07-17 09:14:05	ga_ls8c_ard_3-0-0_089079_2013-07-16_final
2013-07-17 09:14:29	ga_ls8c_ard_3-0-0_089080_2013-07-16_final
2013-07-17 09:14:53	ga_ls8c_ard_3-0-0_089081_2013-07-16_final
2013-07-17 09:15:17	ga_ls8c_ard_3-0-0_089082_2013-07-16_final
2013-07-17 09:15:41	ga_ls8c_ard_3-0-0_089083_2013-07-16_final
2013-07-17 09:16:05	ga_ls8c_ard_3-0-0_089084_2013-07-16_final
2013-07-24 09:19:28	ga_ls8c_ard_3-0-0_090077_2013-07-23_final
2013-07-24 09:19:52	ga_ls8c_ard_3-0-0_090078_2013-07-23_final
2013-07-24 09:20:16	ga_ls8c_ard_3-0-0_090079_2013-07-23_final
2013-07-24 09:20:40	ga_ls8c_ard_3-0-0_090080_2013-07-23_final
2013-08-09 09:19:31	ga_ls8c_ard_3-0-0_090077_2013-08-08_final
2013-08-09 09:19:54	ga_ls8c_ard_3-0-0_090078_2013-08-08_final
2013-08-09 09:20:18	ga_ls8c_ard_3-0-0_090079_2013-08-08_final
2013-08-09 09:20:42	ga_ls8c_ard_3-0-0_090080_2013-08-08_final
2013-08-23 09:27:55	ga_ls8c_ard_3-0-0_092067_2013-08-22_final
2013-08-23 09:28:18	ga_ls8c_ard_3-0-0_092068_2013-08-22_final
2013-08-25 09:18:45	ga_ls8c_ard_3-0-0_090075_2013-08-24_final
2013-08-25 09:19:09	ga_ls8c_ard_3-0-0_090076_2013-08-24_final
2013-08-25 09:19:33	ga_ls8c_ard_3-0-0_090077_2013-08-24_final
2013-08-25 09:19:57	ga_ls8c_ard_3-0-0_090078_2013-08-24_final
2013-08-25 09:20:20	ga_ls8c_ard_3-0-0_090079_2013-08-24_final
2013-08-25 09:20:44	ga_ls8c_ard_3-0-0_090080_2013-08-24_final
2013-09-12 09:09:32	ga_ls8c_ard_3-0-0_088083_2013-09-11_final
2014-01-25 09:13:14	ga_ls8c_ard_3-0-0_089079_2014-01-24_final
2014-01-25 09:13:38	ga_ls8c_ard_3-0-0_089080_2014-01-24_final
2014-01-25 09:14:02	ga_ls8c_ard_3-0-0_089081_2014-01-24_final
2014-01-25 09:14:26	ga_ls8c_ard_3-0-0_089082_2014-01-24_final
2014-01-25 09:14:50	ga_ls8c_ard_3-0-0_089083_2014-01-24_final
2014-01-25 09:15:14	ga_ls8c_ard_3-0-0_089084_2014-01-24_final
2014-04-15 09:12:05	ga_ls8c_ard_3-0-0_089079_2014-04-14_final
2014-04-15 09:12:29	ga_ls8c_ard_3-0-0_089080_2014-04-14_final
2014-04-15 09:12:53	ga_ls8c_ard_3-0-0_089081_2014-04-14_final
2014-04-15 09:13:17	ga_ls8c_ard_3-0-0_089082_2014-04-14_final
2014-04-15 09:13:41	ga_ls8c_ard_3-0-0_089083_2014-04-14_final
2018-04-17 09:16:00	ga_ls8c_ard_3-0-0_090075_2018-04-16_final
2018-04-17 09:16:24	ga_ls8c_ard_3-0-0_090076_2018-04-16_final
2018-04-17 09:16:47	ga_ls8c_ard_3-0-0_090077_2018-04-16_final
2018-04-17 09:17:11	ga_ls8c_ard_3-0-0_090078_2018-04-16_final
2018-04-17 09:17:35	ga_ls8c_ard_3-0-0_090079_2018-04-16_final
2018-04-17 09:17:59	ga_ls8c_ard_3-0-0_090080_2018-04-16_final
2018-04-19 09:06:48	ga_ls8c_ard_3-0-0_088083_2018-04-18_final
2018-04-19 09:07:12	ga_ls8c_ard_3-0-0_088084_2018-04-18_final
2018-06-04 09:15:05	ga_ls8c_ard_3-0-0_090074_2018-06-03_final
2018-06-04 09:15:29	ga_ls8c_ard_3-0-0_090075_2018-06-03_final
2018-06-04 09:15:53	ga_ls8c_ard_3-0-0_090076_2018-06-03_final
2018-06-04 09:16:17	ga_ls8c_ard_3-0-0_090077_2018-06-03_final
2018-06-04 09:16:41	ga_ls8c_ard_3-0-0_090078_2018-06-03_final
2018-06-04 09:17:04	ga_ls8c_ard_3-0-0_090079_2018-06-03_final
2018-06-04 09:17:28	ga_ls8c_ard_3-0-0_090080_2018-06-03_final
2018-06-06 09:06:19	ga_ls8c_ard_3-0-0_088083_2018-06-05_final
2018-06-06 09:06:42	ga_ls8c_ard_3-0-0_088084_2018-06-05_final
2020-01-01 09:16:55	ga_ls8c_ard_3-1-0_090075_2019-12-31_final
2020-01-01 09:17:19	ga_ls8c_ard_3-1-0_090076_2019-12-31_final
2020-01-01 09:17:43	ga_ls8c_ard_3-1-0_090077_2019-12-31_final
2020-01-01 09:18:07	ga_ls8c_ard_3-1-0_090078_2019-12-31_final
2020-01-01 09:18:31	ga_ls8c_ard_3-1-0_090079_2019-12-31_final
2020-01-01 09:18:55	ga_ls8c_ard_3-1-0_090080_2019-12-31_final
2020-01-10 09:12:18	ga_ls8c_ard_3-1-0_089079_2020-01-09_final
2020-01-10 09:12:42	ga_ls8c_ard_3-1-0_089080_2020-01-09_final
2020-01-10 09:13:06	ga_ls8c_ard_3-1-0_089081_2020-01-09_final
2020-01-10 09:13:30	ga_ls8c_ard_3-1-0_089082_2020-01-09_final
2020-01-10 09:13:54	ga_ls8c_ard_3-1-0_089083_2020-01-09_final
2020-01-10 09:14:18	ga_ls8c_ard_3-1-0_089084_2020-01-09_final
2020-01-19 09:07:41	ga_ls8c_ard_3-1-0_088083_2020-01-18_final
2020-01-19 09:08:05	ga_ls8c_ard_3-1-0_088084_2020-01-18_final
2020-01-26 09:12:14	ga_ls8c_ard_3-1-0_089079_2020-01-25_final
2020-01-26 09:12:38	ga_ls8c_ard_3-1-0_089080_2020-01-25_final
2020-01-26 09:13:02	ga_ls8c_ard_3-1-0_089081_2020-01-25_final
2020-01-26 09:13:26	ga_ls8c_ard_3-1-0_089082_2020-01-25_final
2020-01-26 09:13:50	ga_ls8c_ard_3-1-0_089083_2020-01-25_final
2020-01-26 09:14:14	ga_ls8c_ard_3-1-0_089084_2020-01-25_final
2020-02-02 09:16:47	ga_ls8c_ard_3-1-0_090075_2020-02-01_final
2020-02-02 09:17:11	ga_ls8c_ard_3-1-0_090076_2020-02-01_final
2020-02-02 09:17:35	ga_ls8c_ard_3-1-0_090077_2020-02-01_final
2020-02-02 09:17:59	ga_ls8c_ard_3-1-0_090078_2020-02-01_final
2020-02-02 09:18:22	ga_ls8c_ard_3-1-0_090079_2020-02-01_final
2020-02-02 09:18:46	ga_ls8c_ard_3-1-0_090080_2020-02-01_final
2020-02-20 09:07:33	ga_ls8c_ard_3-1-0_088083_2020-02-19_final
2020-02-20 09:07:57	ga_ls8c_ard_3-1-0_088084_2020-02-19_final
2020-03-23 09:07:19	ga_ls8c_ard_3-1-0_088083_2020-03-22_final
2020-03-23 09:07:43	ga_ls8c_ard_3-1-0_088084_2020-03-22_final
2020-04-08 09:07:11	ga_ls8c_ard_3-1-0_088083_2020-04-07_final
2020-04-08 09:07:35	ga_ls8c_ard_3-1-0_088084_2020-04-07_final
2020-05-01 09:11:35	ga_ls8c_ard_3-1-0_089079_2020-04-30_final
2020-05-01 09:11:59	ga_ls8c_ard_3-1-0_089080_2020-04-30_final
2020-05-01 09:12:23	ga_ls8c_ard_3-1-0_089081_2020-04-30_final
2020-05-01 09:12:47	ga_ls8c_ard_3-1-0_089082_2020-04-30_final
2020-05-01 09:13:11	ga_ls8c_ard_3-1-0_089083_2020-04-30_final
2020-05-01 09:13:35	ga_ls8c_ard_3-1-0_089084_2020-04-30_final
2020-05-26 09:06:59	ga_ls8c_ard_3-1-0_088083_2020-05-25_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