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 09:13:34	ga_ls8c_ard_3-0-0_089079_2013-12-23_final
2013-12-24 09:13:58	ga_ls8c_ard_3-0-0_089080_2013-12-23_final
2013-12-24 09:14:22	ga_ls8c_ard_3-0-0_089081_2013-12-23_final
2013-12-24 09:14:46	ga_ls8c_ard_3-0-0_089082_2013-12-23_final
2013-12-24 09:15:10	ga_ls8c_ard_3-0-0_089083_2013-12-23_final
2014-02-26 09:12:49	ga_ls8c_ard_3-0-0_089079_2014-02-25_final
2014-02-26 09:13:13	ga_ls8c_ard_3-0-0_089080_2014-02-25_final
2014-02-26 09:13:37	ga_ls8c_ard_3-0-0_089081_2014-02-25_final
2014-02-26 09:14:01	ga_ls8c_ard_3-0-0_089082_2014-02-25_final
2014-02-26 09:14:25	ga_ls8c_ard_3-0-0_089083_2014-02-25_final
2014-02-26 09:14:49	ga_ls8c_ard_3-0-0_089084_2014-02-25_final
2014-04-06 09:16:52	ga_ls8c_ard_3-0-0_090075_2014-04-05_final
2014-04-06 09:17:16	ga_ls8c_ard_3-0-0_090076_2014-04-05_final
2014-04-06 09:17:40	ga_ls8c_ard_3-0-0_090077_2014-04-05_final
2014-04-06 09:18:03	ga_ls8c_ard_3-0-0_090078_2014-04-05_final
2014-04-06 09:18:27	ga_ls8c_ard_3-0-0_090079_2014-04-05_final
2014-04-06 09:18:51	ga_ls8c_ard_3-0-0_090080_2014-04-05_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
2014-04-15 09:14:05	ga_ls8c_ard_3-0-0_089084_2014-04-14_final
2014-05-31 09:21:16	ga_ls8c_ard_3-0-0_091072_2014-05-30_final
2014-05-31 09:21:40	ga_ls8c_ard_3-0-0_091073_2014-05-30_final
2014-05-31 09:22:04	ga_ls8c_ard_3-0-0_091074_2014-05-30_final
2014-05-31 09:22:28	ga_ls8c_ard_3-0-0_091075_2014-05-30_final
2014-06-16 09:22:11	ga_ls8c_ard_3-0-0_091074_2014-06-15_final
2014-06-16 09:22:35	ga_ls8c_ard_3-0-0_091075_2014-06-15_final
2017-04-30 09:15:36	ga_ls8c_ard_3-0-0_090074_2017-04-29_final
2017-04-30 09:15:59	ga_ls8c_ard_3-0-0_090075_2017-04-29_final
2017-04-30 09:16:23	ga_ls8c_ard_3-0-0_090076_2017-04-29_final
2017-04-30 09:16:47	ga_ls8c_ard_3-1-0_090077_2017-04-29_final
2017-04-30 09:17:11	ga_ls8c_ard_3-1-0_090078_2017-04-29_final
2017-04-30 09:17:35	ga_ls8c_ard_3-0-0_090079_2017-04-29_final
2017-04-30 09:17:59	ga_ls8c_ard_3-0-0_090080_2017-04-29_final
2017-05-02 09:06:48	ga_ls8c_ard_3-0-0_088083_2017-05-01_final
2017-05-02 09:07:12	ga_ls8c_ard_3-0-0_088084_2017-05-01_final
2017-06-24 09:21:26	ga_ls8c_ard_3-0-0_091072_2017-06-23_final
2017-06-24 09:21:50	ga_ls8c_ard_3-0-0_091073_2017-06-23_final
2017-06-24 09:22:14	ga_ls8c_ard_3-0-0_091074_2017-06-23_final
2017-06-24 09:22:38	ga_ls8c_ard_3-0-0_091075_2017-06-23_final
2017-08-11 09:21:42	ga_ls8c_ard_3-0-0_091072_2017-08-10_final
2017-08-11 09:22:06	ga_ls8c_ard_3-0-0_091073_2017-08-10_final
2017-08-11 09:22:30	ga_ls8c_ard_3-0-0_091074_2017-08-10_final
2017-08-11 09:22:54	ga_ls8c_ard_3-0-0_091075_2017-08-10_final
2017-08-20 09:16:22	ga_ls8c_ard_3-0-0_090074_2017-08-19_final
2017-08-20 09:16:46	ga_ls8c_ard_3-0-0_090075_2017-08-19_final
2017-08-20 09:17:10	ga_ls8c_ard_3-0-0_090076_2017-08-19_final
2017-08-20 09:17:34	ga_ls8c_ard_3-0-0_090077_2017-08-19_final
2017-08-20 09:17:58	ga_ls8c_ard_3-0-0_090078_2017-08-19_final
2017-08-20 09:18:22	ga_ls8c_ard_3-0-0_090079_2017-08-19_final
2017-08-20 09:18:46	ga_ls8c_ard_3-0-0_090080_2017-08-19_final
2017-08-22 09:07:37	ga_ls8c_ard_3-0-0_088083_2017-08-21_final
2017-08-22 09:08:01	ga_ls8c_ard_3-0-0_088084_2017-08-21_final
2019-02-22 09:21:24	ga_ls8c_ard_3-0-0_091072_2019-02-21_final
2019-02-22 09:21:48	ga_ls8c_ard_3-0-0_091073_2019-02-21_final
2019-02-22 09:22:12	ga_ls8c_ard_3-0-0_091074_2019-02-21_final
2019-02-22 09:22:36	ga_ls8c_ard_3-0-0_091075_2019-02-21_final
2019-02-24 09:11:49	ga_ls8c_ard_3-0-0_089079_2019-02-23_final
2019-02-24 09:12:13	ga_ls8c_ard_3-0-0_089080_2019-02-23_final
2019-02-24 09:12:37	ga_ls8c_ard_3-0-0_089081_2019-02-23_final
2019-02-24 09:13:01	ga_ls8c_ard_3-0-0_089082_2019-02-23_final
2019-02-24 09:13:25	ga_ls8c_ard_3-0-0_089083_2019-02-23_final
2019-02-24 09:13:49	ga_ls8c_ard_3-0-0_089084_2019-02-23_final
2019-03-17 09:27:03	ga_ls8c_ard_3-1-0_092071_2019-03-16_final
2019-03-19 09:15:53	ga_ls8c_ard_3-1-0_090074_2019-03-18_final
2019-03-19 09:16:17	ga_ls8c_ard_3-1-0_090075_2019-03-18_final
2019-03-19 09:16:41	ga_ls8c_ard_3-1-0_090076_2019-03-18_final
2019-03-19 09:17:05	ga_ls8c_ard_3-1-0_090077_2019-03-18_final
2019-03-19 09:17:29	ga_ls8c_ard_3-1-0_090078_2019-03-18_final
2019-03-19 09:17:53	ga_ls8c_ard_3-1-0_090079_2019-03-18_final
2019-03-19 09:18:17	ga_ls8c_ard_3-1-0_090080_2019-03-18_final
2019-03-21 09:07:07	ga_ls8c_ard_3-1-0_088083_2019-03-20_final
2019-03-21 09:07:31	ga_ls8c_ard_3-1-0_088084_2019-03-20_final
2019-04-02 09:25:24	ga_ls8c_ard_3-1-0_092067_2019-04-01_final
2019-04-02 09:25:48	ga_ls8c_ard_3-1-0_092068_2019-04-01_final
2019-05-13 09:21:14	ga_ls8c_ard_3-0-0_091072_2019-05-12_final
2019-05-13 09:21:38	ga_ls8c_ard_3-0-0_091073_2019-05-12_final
2019-05-13 09:22:02	ga_ls8c_ard_3-0-0_091074_2019-05-12_final
2019-05-13 09:22:26	ga_ls8c_ard_3-0-0_091075_2019-05-12_final
2019-05-15 09:11:41	ga_ls8c_ard_3-0-0_089079_2019-05-14_final
2019-05-15 09:12:05	ga_ls8c_ard_3-0-0_089080_2019-05-14_final
2019-05-15 09:12:29	ga_ls8c_ard_3-0-0_089081_2019-05-14_final
2019-05-15 09:12:53	ga_ls8c_ard_3-0-0_089082_2019-05-14_final
2019-05-15 09:13:17	ga_ls8c_ard_3-0-0_089083_2019-05-14_final
2019-05-15 09:13:41	ga_ls8c_ard_3-0-0_089084_2019-05-14_final
2019-05-20 09:25:29	ga_ls8c_ard_3-0-0_092067_2019-05-19_final
2019-05-20 09:25:53	ga_ls8c_ard_3-0-0_092068_2019-05-19_final
2019-05-29 09:21:23	ga_ls8c_ard_3-0-0_091072_2019-05-28_final
2019-05-29 09:21:47	ga_ls8c_ard_3-0-0_091073_2019-05-28_final
2019-05-29 09:22:11	ga_ls8c_ard_3-0-0_091074_2019-05-28_final
2019-05-29 09:22:35	ga_ls8c_ard_3-0-0_091075_2019-05-28_final
2019-05-31 09:11:50	ga_ls8c_ard_3-0-0_089079_2019-05-30_final
2019-05-31 09:12:14	ga_ls8c_ard_3-0-0_089080_2019-05-30_final
2019-05-31 09:12:38	ga_ls8c_ard_3-0-0_089081_2019-05-30_final
2019-05-31 09:13:02	ga_ls8c_ard_3-0-0_089082_2019-05-30_final
2019-05-31 09:13:26	ga_ls8c_ard_3-0-0_089083_2019-05-30_final
2019-05-31 09:13:50	ga_ls8c_ard_3-0-0_089084_2019-05-30_final
2019-06-25 09:07:25	ga_ls8c_ard_3-1-0_088083_2019-06-24_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