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
2013-11-18 09:33:43	ga_ls8c_ard_3-0-0_093067_2013-11-18_final
2014-05-24 09:16:12	ga_ls8c_ard_3-0-0_090075_2014-05-23_final
2014-05-24 09:16:36	ga_ls8c_ard_3-0-0_090076_2014-05-23_final
2014-05-24 09:17:00	ga_ls8c_ard_3-0-0_090077_2014-05-23_final
2014-05-24 09:17:24	ga_ls8c_ard_3-0-0_090078_2014-05-23_final
2014-05-24 09:17:47	ga_ls8c_ard_3-0-0_090079_2014-05-23_final
2014-05-24 09:18:11	ga_ls8c_ard_3-0-0_090080_2014-05-23_final
2014-05-24 09:18:35	ga_ls8c_ard_3-0-0_090081_2014-05-23_final
2014-06-14 09:31:45	ga_ls8c_ard_3-0-0_093067_2014-06-14_final
2014-06-30 09:31:48	ga_ls8c_ard_3-0-0_093067_2014-06-30_final
2015-12-05 09:16:50	ga_ls8c_ard_3-0-0_090075_2015-12-04_final
2015-12-05 09:17:14	ga_ls8c_ard_3-0-0_090076_2015-12-04_final
2015-12-05 09:17:38	ga_ls8c_ard_3-0-0_090077_2015-12-04_final
2015-12-05 09:18:02	ga_ls8c_ard_3-0-0_090078_2015-12-04_final
2015-12-05 09:18:26	ga_ls8c_ard_3-0-0_090079_2015-12-04_final
2015-12-05 09:18:50	ga_ls8c_ard_3-0-0_090080_2015-12-04_final
2015-12-05 09:19:14	ga_ls8c_ard_3-0-0_090081_2015-12-04_final
2015-12-07 09:08:04	ga_ls8c_ard_3-0-0_088084_2015-12-06_final
2015-12-10 09:32:10	ga_ls8c_ard_3-0-0_093067_2015-12-10_final
2015-12-14 09:12:38	ga_ls8c_ard_3-0-0_089080_2015-12-13_final
2015-12-14 09:13:02	ga_ls8c_ard_3-0-0_089081_2015-12-13_final
2015-12-14 09:13:26	ga_ls8c_ard_3-0-0_089082_2015-12-13_final
2015-12-14 09:13:50	ga_ls8c_ard_3-0-0_089083_2015-12-13_final
2015-12-14 09:14:14	ga_ls8c_ard_3-0-0_089084_2015-12-13_final
2015-12-14 09:14:38	ga_ls8c_ard_3-0-0_089085_2015-12-13_final
2015-12-23 09:08:04	ga_ls8c_ard_3-0-0_088084_2015-12-22_final
2015-12-26 09:32:11	ga_ls8c_ard_3-0-0_093067_2015-12-26_final
2016-01-15 09:12:36	ga_ls8c_ard_3-0-0_089080_2016-01-14_final
2016-01-15 09:13:00	ga_ls8c_ard_3-0-0_089081_2016-01-14_final
2016-01-15 09:13:24	ga_ls8c_ard_3-0-0_089082_2016-01-14_final
2016-01-15 09:13:48	ga_ls8c_ard_3-0-0_089083_2016-01-14_final
2016-01-15 09:14:12	ga_ls8c_ard_3-0-0_089084_2016-01-14_final
2016-01-15 09:14:36	ga_ls8c_ard_3-0-0_089085_2016-01-14_final
2016-01-20 09:27:33	ga_ls8c_ard_3-0-0_092071_2016-01-19_final
2016-01-20 09:27:57	ga_ls8c_ard_3-0-0_092072_2016-01-19_final
2016-01-22 09:16:47	ga_ls8c_ard_3-0-0_090075_2016-01-21_final
2016-01-22 09:17:11	ga_ls8c_ard_3-0-0_090076_2016-01-21_final
2016-01-22 09:17:35	ga_ls8c_ard_3-0-0_090077_2016-01-21_final
2016-01-22 09:17:59	ga_ls8c_ard_3-0-0_090078_2016-01-21_final
2016-01-22 09:18:23	ga_ls8c_ard_3-0-0_090079_2016-01-21_final
2016-01-22 09:18:47	ga_ls8c_ard_3-0-0_090080_2016-01-21_final
2016-01-22 09:19:11	ga_ls8c_ard_3-0-0_090081_2016-01-21_final
2016-01-31 09:12:34	ga_ls8c_ard_3-0-0_089080_2016-01-30_final
2016-01-31 09:12:58	ga_ls8c_ard_3-0-0_089081_2016-01-30_final
2016-01-31 09:13:22	ga_ls8c_ard_3-0-0_089082_2016-01-30_final
2016-01-31 09:13:46	ga_ls8c_ard_3-0-0_089083_2016-01-30_final
2016-01-31 09:14:10	ga_ls8c_ard_3-0-0_089084_2016-01-30_final
2016-01-31 09:14:34	ga_ls8c_ard_3-0-0_089085_2016-01-30_final
2016-03-03 09:12:24	ga_ls8c_ard_3-0-0_089080_2016-03-02_final
2016-03-03 09:12:48	ga_ls8c_ard_3-0-0_089081_2016-03-02_final
2016-03-03 09:13:12	ga_ls8c_ard_3-0-0_089082_2016-03-02_final
2016-03-03 09:13:36	ga_ls8c_ard_3-0-0_089083_2016-03-02_final
2016-03-03 09:14:00	ga_ls8c_ard_3-0-0_089084_2016-03-02_final
2016-03-03 09:14:24	ga_ls8c_ard_3-0-0_089085_2016-03-02_final
2016-03-19 09:12:19	ga_ls8c_ard_3-0-0_089080_2016-03-18_final
2016-03-19 09:12:43	ga_ls8c_ard_3-0-0_089081_2016-03-18_final
2016-03-19 09:13:07	ga_ls8c_ard_3-0-0_089082_2016-03-18_final
2016-03-19 09:13:31	ga_ls8c_ard_3-0-0_089083_2016-03-18_final
2016-03-19 09:13:54	ga_ls8c_ard_3-0-0_089084_2016-03-18_final
2016-03-19 09:14:18	ga_ls8c_ard_3-0-0_089085_2016-03-18_final
2016-05-15 09:07:05	ga_ls8c_ard_3-0-0_088083_2016-05-14_final
2016-05-15 09:07:29	ga_ls8c_ard_3-0-0_088084_2016-05-14_final
2016-05-18 09:31:37	ga_ls8c_ard_3-0-0_093067_2016-05-18_final
2016-06-12 09:25:34	ga_ls8c_ard_3-0-0_092067_2016-06-11_final
2016-06-12 09:25:58	ga_ls8c_ard_3-0-0_092068_2016-06-11_final
2016-06-12 09:27:09	ga_ls8c_ard_3-0-0_092071_2016-06-11_final
2016-06-12 09:27:33	ga_ls8c_ard_3-0-0_092072_2016-06-11_final
2016-07-14 09:25:49	ga_ls8c_ard_3-0-0_092067_2016-07-13_final
2016-07-14 09:26:13	ga_ls8c_ard_3-0-0_092068_2016-07-13_final
2016-07-14 09:27:24	ga_ls8c_ard_3-0-0_092071_2016-07-13_final
2016-07-14 09:27:48	ga_ls8c_ard_3-0-0_092072_2016-07-13_final
2016-08-03 09:07:57	ga_ls8c_ard_3-0-0_088084_2016-08-02_final
2016-08-08 09:21:43	ga_ls8c_ard_3-0-0_091072_2016-08-07_final
2016-08-08 09:22:07	ga_ls8c_ard_3-0-0_091073_2016-08-07_final
2016-08-08 09:22:31	ga_ls8c_ard_3-0-0_091074_2016-08-07_final
2016-08-08 09:22:54	ga_ls8c_ard_3-0-0_091075_2016-08-07_final
2016-08-08 09:23:18	ga_ls8c_ard_3-0-0_091076_2016-08-07_final
2016-08-31 09:26:03	ga_ls8c_ard_3-0-0_092067_2016-08-30_final
2016-08-31 09:26:27	ga_ls8c_ard_3-0-0_092068_2016-08-30_final
2016-08-31 09:27:39	ga_ls8c_ard_3-0-0_092071_2016-08-30_final
2016-08-31 09:28:02	ga_ls8c_ard_3-0-0_092072_2016-08-30_final
2016-10-02 09:26:07	ga_ls8c_ard_3-0-0_092067_2016-10-01_final
2016-10-02 09:26:31	ga_ls8c_ard_3-0-0_092068_2016-10-01_final
2016-10-02 09:27:43	ga_ls8c_ard_3-0-0_092071_2016-10-01_final
2016-10-02 09:28:07	ga_ls8c_ard_3-0-0_092072_2016-10-01_final
2016-10-04 09:16:58	ga_ls8c_ard_3-0-0_090075_2016-10-03_final
2016-10-04 09:17:22	ga_ls8c_ard_3-0-0_090076_2016-10-03_final
2016-10-04 09:17:46	ga_ls8c_ard_3-0-0_090077_2016-10-03_final
2016-10-04 09:18:09	ga_ls8c_ard_3-0-0_090078_2016-10-03_final
2016-10-04 09:18:33	ga_ls8c_ard_3-0-0_090079_2016-10-03_final
2016-10-04 09:18:57	ga_ls8c_ard_3-0-0_090080_2016-10-03_final
2016-10-04 09:19:21	ga_ls8c_ard_3-0-0_090081_2016-10-03_final
2020-08-03 09:21:38	ga_ls8c_ard_3-1-0_091072_2020-08-02_final
2020-08-03 09:22:02	ga_ls8c_ard_3-1-0_091073_2020-08-02_final
2020-08-03 09:22:26	ga_ls8c_ard_3-1-0_091074_2020-08-02_final
2020-08-03 09:22:50	ga_ls8c_ard_3-1-0_091075_2020-08-02_final
2020-08-03 09:23:14	ga_ls8c_ard_3-1-0_091076_2020-08-02_final
2020-08-26 09:25:59	ga_ls8c_ard_3-1-0_092067_2020-08-25_final
2020-08-26 09:26:22	ga_ls8c_ard_3-1-0_092068_2020-08-25_final
2020-08-26 09:27:34	ga_ls8c_ard_3-1-0_092071_2020-08-25_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