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
2013-04-28 09:14:16	ga_ls8c_ard_3-0-0_089080_2013-04-27_final
2013-04-28 09:14:40	ga_ls8c_ard_3-0-0_089081_2013-04-27_final
2013-04-28 09:15:04	ga_ls8c_ard_3-0-0_089082_2013-04-27_final
2013-04-28 09:15:28	ga_ls8c_ard_3-0-0_089083_2013-04-27_final
2013-04-28 09:15:52	ga_ls8c_ard_3-0-0_089084_2013-04-27_final
2013-04-28 09:16:16	ga_ls8c_ard_3-0-0_089085_2013-04-27_final
2013-11-18 09:33:43	ga_ls8c_ard_3-0-0_093067_2013-11-18_final
2013-12-06 09:24:54	ga_ls8c_ard_3-0-0_091076_2013-12-05_final
2014-01-23 09:24:25	ga_ls8c_ard_3-0-0_091076_2014-01-22_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
2014-01-25 09:15:38	ga_ls8c_ard_3-0-0_089085_2014-01-24_final
2017-01-15 09:21:51	ga_ls8c_ard_3-0-0_091072_2017-01-14_final
2017-01-15 09:22:14	ga_ls8c_ard_3-0-0_091073_2017-01-14_final
2017-01-15 09:22:38	ga_ls8c_ard_3-0-0_091074_2017-01-14_final
2017-01-15 09:23:02	ga_ls8c_ard_3-0-0_091075_2017-01-14_final
2017-01-15 09:23:26	ga_ls8c_ard_3-0-0_091076_2017-01-14_final
2017-01-17 09:12:40	ga_ls8c_ard_3-0-0_089080_2017-01-16_final
2017-01-17 09:13:04	ga_ls8c_ard_3-0-0_089081_2017-01-16_final
2017-01-17 09:13:28	ga_ls8c_ard_3-0-0_089082_2017-01-16_final
2017-01-17 09:13:52	ga_ls8c_ard_3-0-0_089083_2017-01-16_final
2017-01-17 09:14:16	ga_ls8c_ard_3-0-0_089084_2017-01-16_final
2017-01-17 09:14:40	ga_ls8c_ard_3-0-0_089085_2017-01-16_final
2017-01-22 09:25:59	ga_ls8c_ard_3-0-0_092067_2017-01-21_final
2017-01-22 09:26:23	ga_ls8c_ard_3-0-0_092068_2017-01-21_final
2017-01-22 09:27:35	ga_ls8c_ard_3-0-0_092071_2017-01-21_final
2017-01-22 09:27:59	ga_ls8c_ard_3-0-0_092072_2017-01-21_final
2017-03-20 09:21:21	ga_ls8c_ard_3-0-0_091072_2017-03-19_final
2017-03-20 09:21:45	ga_ls8c_ard_3-0-0_091073_2017-03-19_final
2017-03-20 09:22:09	ga_ls8c_ard_3-0-0_091074_2017-03-19_final
2017-03-20 09:22:33	ga_ls8c_ard_3-0-0_091075_2017-03-19_final
2017-03-20 09:22:57	ga_ls8c_ard_3-0-0_091076_2017-03-19_final
2017-04-05 09:21:14	ga_ls8c_ard_3-0-0_091072_2017-04-04_final
2017-04-05 09:21:38	ga_ls8c_ard_3-0-0_091073_2017-04-04_final
2017-04-05 09:22:02	ga_ls8c_ard_3-0-0_091074_2017-04-04_final
2017-04-05 09:22:26	ga_ls8c_ard_3-0-0_091075_2017-04-04_final
2017-04-05 09:22:49	ga_ls8c_ard_3-0-0_091076_2017-04-04_final
2017-04-12 09:25:21	ga_ls8c_ard_3-0-0_092067_2017-04-11_final
2017-04-12 09:25:45	ga_ls8c_ard_3-0-0_092068_2017-04-11_final
2017-05-07 09:21:01	ga_ls8c_ard_3-0-0_091072_2017-05-06_final
2017-05-07 09:21:24	ga_ls8c_ard_3-0-0_091073_2017-05-06_final
2017-05-07 09:21:48	ga_ls8c_ard_3-0-0_091074_2017-05-06_final
2017-05-07 09:22:12	ga_ls8c_ard_3-0-0_091075_2017-05-06_final
2017-05-07 09:22:36	ga_ls8c_ard_3-0-0_091076_2017-05-06_final
2017-05-14 09:25:17	ga_ls8c_ard_3-0-0_092067_2017-05-13_final
2017-05-14 09:25:41	ga_ls8c_ard_3-0-0_092068_2017-05-13_final
2017-05-21 09:31:33	ga_ls8c_ard_3-0-0_093067_2017-05-21_final
2017-06-08 09:21:20	ga_ls8c_ard_3-0-0_091072_2017-06-07_final
2017-06-08 09:21:44	ga_ls8c_ard_3-0-0_091073_2017-06-07_final
2017-06-08 09:22:08	ga_ls8c_ard_3-0-0_091074_2017-06-07_final
2017-06-08 09:22:32	ga_ls8c_ard_3-0-0_091075_2017-06-07_final
2017-06-08 09:22:56	ga_ls8c_ard_3-0-0_091076_2017-06-07_final
2017-06-15 09:27:10	ga_ls8c_ard_3-0-0_092071_2017-06-14_final
2017-06-15 09:27:34	ga_ls8c_ard_3-0-0_092072_2017-06-14_final
2017-06-17 09:16:25	ga_ls8c_ard_3-0-0_090075_2017-06-16_final
2017-06-17 09:16:49	ga_ls8c_ard_3-0-0_090076_2017-06-16_final
2017-06-17 09:17:13	ga_ls8c_ard_3-0-0_090077_2017-06-16_final
2017-06-17 09:17:37	ga_ls8c_ard_3-0-0_090078_2017-06-16_final
2017-06-17 09:18:01	ga_ls8c_ard_3-0-0_090079_2017-06-16_final
2017-06-17 09:18:25	ga_ls8c_ard_3-0-0_090080_2017-06-16_final
2017-06-17 09:18:49	ga_ls8c_ard_3-0-0_090081_2017-06-16_final
2017-06-19 09:07:15	ga_ls8c_ard_3-0-0_088083_2017-06-18_final
2017-06-19 09:07:39	ga_ls8c_ard_3-0-0_088084_2017-06-18_final
2017-06-22 09:31:47	ga_ls8c_ard_3-0-0_093067_2017-06-22_final
2017-07-08 09:31:51	ga_ls8c_ard_3-0-0_093067_2017-07-08_final
2018-02-10 09:25:42	ga_ls8c_ard_3-0-0_092067_2018-02-09_final
2018-02-10 09:26:06	ga_ls8c_ard_3-0-0_092068_2018-02-09_final
2018-02-26 09:25:36	ga_ls8c_ard_3-0-0_092067_2018-02-25_final
2018-02-26 09:26:00	ga_ls8c_ard_3-0-0_092068_2018-02-25_final
2018-03-14 09:25:27	ga_ls8c_ard_3-0-0_092067_2018-03-13_final
2018-03-14 09:25:51	ga_ls8c_ard_3-0-0_092068_2018-03-13_final
2018-03-30 09:25:20	ga_ls8c_ard_3-0-0_092067_2018-03-29_final
2018-03-30 09:25:44	ga_ls8c_ard_3-0-0_092068_2018-03-29_final
2018-10-03 09:12:16	ga_ls8c_ard_3-0-0_089080_2018-10-02_final
2018-10-03 09:12:40	ga_ls8c_ard_3-0-0_089081_2018-10-02_final
2018-10-03 09:13:04	ga_ls8c_ard_3-0-0_089082_2018-10-02_final
2018-10-03 09:13:28	ga_ls8c_ard_3-0-0_089083_2018-10-02_final
2018-10-03 09:13:52	ga_ls8c_ard_3-0-0_089084_2018-10-02_final
2018-10-03 09:14:16	ga_ls8c_ard_3-0-0_089085_2018-10-02_final
2018-10-19 09:12:22	ga_ls8c_ard_3-0-0_089080_2018-10-18_final
2018-10-19 09:12:46	ga_ls8c_ard_3-0-0_089081_2018-10-18_final
2018-10-19 09:13:10	ga_ls8c_ard_3-0-0_089082_2018-10-18_final
2018-10-19 09:13:34	ga_ls8c_ard_3-0-0_089083_2018-10-18_final
2018-10-19 09:13:58	ga_ls8c_ard_3-0-0_089084_2018-10-18_final
2018-10-19 09:14:22	ga_ls8c_ard_3-0-0_089085_2018-10-18_final
2020-07-25 09:25:47	ga_ls8c_ard_3-1-0_092067_2020-07-24_final
2020-07-25 09:26:11	ga_ls8c_ard_3-1-0_092068_2020-07-24_final
2020-07-25 09:27:23	ga_ls8c_ard_3-1-0_092071_2020-07-24_final
2020-07-25 09:27:47	ga_ls8c_ard_3-1-0_092072_2020-07-24_final
2020-10-04 09:32:22	ga_ls8c_ard_3-1-0_093067_2020-10-04_final
2020-10-13 09:26:12	ga_ls8c_ard_3-1-0_092067_2020-10-12_final
2020-10-13 09:26:36	ga_ls8c_ard_3-1-0_092068_2020-10-12_final
2020-10-20 09:32:23	ga_ls8c_ard_3-1-0_093067_2020-10-20_final
2020-10-29 09:26:12	ga_ls8c_ard_3-1-0_092067_2020-10-28_final
2020-10-29 09:26:35	ga_ls8c_ard_3-1-0_092068_2020-10-28_final
2020-12-07 09:32:24	ga_ls8c_ard_3-1-0_093067_2020-12-07_final
2020-12-16 09:26:13	ga_ls8c_ard_3-1-0_092067_2020-12-15_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years