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
2014-08-01 09:32:01	ga_ls8c_ard_3-0-0_093067_2014-08-01_final
2014-08-17 09:32:07	ga_ls8c_ard_3-0-0_093067_2014-08-17_final
2014-09-02 09:32:09	ga_ls8c_ard_3-0-0_093067_2014-09-02_final
2014-10-04 09:32:14	ga_ls8c_ard_3-0-0_093067_2014-10-04_final
2014-12-23 09:32:10	ga_ls8c_ard_3-0-0_093067_2014-12-23_final
2015-01-12 09:12:34	ga_ls8c_ard_3-0-0_089080_2015-01-11_final
2015-01-12 09:12:58	ga_ls8c_ard_3-0-0_089081_2015-01-11_final
2015-01-12 09:13:21	ga_ls8c_ard_3-0-0_089082_2015-01-11_final
2015-01-12 09:13:45	ga_ls8c_ard_3-0-0_089083_2015-01-11_final
2015-01-12 09:14:09	ga_ls8c_ard_3-0-0_089084_2015-01-11_final
2015-01-12 09:14:33	ga_ls8c_ard_3-0-0_089085_2015-01-11_final
2015-01-26 09:21:38	ga_ls8c_ard_3-0-0_091072_2015-01-25_final
2015-01-26 09:22:02	ga_ls8c_ard_3-0-0_091073_2015-01-25_final
2015-01-26 09:22:26	ga_ls8c_ard_3-0-0_091074_2015-01-25_final
2015-01-26 09:22:50	ga_ls8c_ard_3-0-0_091075_2015-01-25_final
2015-01-26 09:23:14	ga_ls8c_ard_3-0-0_091076_2015-01-25_final
2015-02-13 09:12:20	ga_ls8c_ard_3-0-0_089080_2015-02-12_final
2015-02-13 09:12:44	ga_ls8c_ard_3-0-0_089081_2015-02-12_final
2015-02-13 09:13:08	ga_ls8c_ard_3-0-0_089082_2015-02-12_final
2015-02-13 09:13:32	ga_ls8c_ard_3-0-0_089083_2015-02-12_final
2015-02-13 09:13:56	ga_ls8c_ard_3-0-0_089084_2015-02-12_final
2015-02-13 09:14:20	ga_ls8c_ard_3-0-0_089085_2015-02-12_final
2015-02-27 09:21:28	ga_ls8c_ard_3-0-0_091072_2015-02-26_final
2015-02-27 09:21:52	ga_ls8c_ard_3-0-0_091073_2015-02-26_final
2015-02-27 09:22:16	ga_ls8c_ard_3-0-0_091074_2015-02-26_final
2015-02-27 09:22:40	ga_ls8c_ard_3-0-0_091075_2015-02-26_final
2015-02-27 09:23:04	ga_ls8c_ard_3-0-0_091076_2015-02-26_final
2015-03-08 09:16:23	ga_ls8c_ard_3-0-0_090075_2015-03-07_final
2015-03-08 09:16:47	ga_ls8c_ard_3-0-0_090076_2015-03-07_final
2015-03-08 09:17:11	ga_ls8c_ard_3-0-0_090077_2015-03-07_final
2015-03-08 09:17:35	ga_ls8c_ard_3-0-0_090078_2015-03-07_final
2015-03-08 09:17:59	ga_ls8c_ard_3-0-0_090079_2015-03-07_final
2015-03-08 09:18:23	ga_ls8c_ard_3-1-0_090080_2015-03-07_final
2015-03-08 09:18:47	ga_ls8c_ard_3-0-0_090081_2015-03-07_final
2015-03-15 09:22:05	ga_ls8c_ard_3-0-0_091074_2015-03-14_final
2015-03-15 09:22:28	ga_ls8c_ard_3-0-0_091075_2015-03-14_final
2015-03-15 09:22:52	ga_ls8c_ard_3-0-0_091076_2015-03-14_final
2015-03-17 09:12:06	ga_ls8c_ard_3-0-0_089080_2015-03-16_final
2015-03-17 09:12:30	ga_ls8c_ard_3-0-0_089081_2015-03-16_final
2015-03-22 09:27:01	ga_ls8c_ard_3-0-0_092071_2015-03-21_final
2015-03-22 09:27:25	ga_ls8c_ard_3-0-0_092072_2015-03-21_final
2015-03-31 09:21:07	ga_ls8c_ard_3-0-0_091072_2015-03-30_final
2015-03-31 09:21:31	ga_ls8c_ard_3-0-0_091073_2015-03-30_final
2015-03-31 09:21:55	ga_ls8c_ard_3-0-0_091074_2015-03-30_final
2015-03-31 09:22:19	ga_ls8c_ard_3-0-0_091075_2015-03-30_final
2015-03-31 09:22:43	ga_ls8c_ard_3-0-0_091076_2015-03-30_final
2015-04-18 09:11:54	ga_ls8c_ard_3-0-0_089080_2015-04-17_final
2015-04-18 09:12:18	ga_ls8c_ard_3-0-0_089081_2015-04-17_final
2015-04-18 09:12:42	ga_ls8c_ard_3-0-0_089082_2015-04-17_final
2015-04-18 09:13:05	ga_ls8c_ard_3-0-0_089083_2015-04-17_final
2015-04-18 09:13:29	ga_ls8c_ard_3-0-0_089084_2015-04-17_final
2015-04-18 09:13:53	ga_ls8c_ard_3-0-0_089085_2015-04-17_final
2015-05-11 09:15:45	ga_ls8c_ard_3-0-0_090075_2015-05-10_final
2015-05-11 09:16:09	ga_ls8c_ard_3-0-0_090076_2015-05-10_final
2015-05-11 09:16:33	ga_ls8c_ard_3-0-0_090077_2015-05-10_final
2015-05-11 09:16:57	ga_ls8c_ard_3-0-0_090078_2015-05-10_final
2015-05-11 09:17:21	ga_ls8c_ard_3-0-0_090079_2015-05-10_final
2015-05-11 09:17:45	ga_ls8c_ard_3-0-0_090080_2015-05-10_final
2015-05-11 09:18:09	ga_ls8c_ard_3-0-0_090081_2015-05-10_final
2015-05-27 09:15:46	ga_ls8c_ard_3-0-0_090075_2015-05-26_final
2015-05-27 09:16:10	ga_ls8c_ard_3-0-0_090076_2015-05-26_final
2015-05-27 09:16:34	ga_ls8c_ard_3-0-0_090077_2015-05-26_final
2015-05-27 09:16:58	ga_ls8c_ard_3-0-0_090078_2015-05-26_final
2015-05-27 09:17:22	ga_ls8c_ard_3-0-0_090079_2015-05-26_final
2015-05-27 09:17:46	ga_ls8c_ard_3-0-0_090080_2015-05-26_final
2015-05-27 09:18:10	ga_ls8c_ard_3-0-0_090081_2015-05-26_final
2015-06-03 09:20:50	ga_ls8c_ard_3-0-0_091072_2015-06-02_final
2015-06-03 09:21:14	ga_ls8c_ard_3-0-0_091073_2015-06-02_final
2015-06-03 09:21:38	ga_ls8c_ard_3-0-0_091074_2015-06-02_final
2015-06-03 09:22:02	ga_ls8c_ard_3-0-0_091075_2015-06-02_final
2015-06-03 09:22:25	ga_ls8c_ard_3-0-0_091076_2015-06-02_final
2015-06-19 09:20:59	ga_ls8c_ard_3-0-0_091072_2015-06-18_final
2015-06-19 09:21:23	ga_ls8c_ard_3-0-0_091073_2015-06-18_final
2015-06-19 09:21:47	ga_ls8c_ard_3-0-0_091074_2015-06-18_final
2015-06-19 09:22:11	ga_ls8c_ard_3-0-0_091075_2015-06-18_final
2015-06-19 09:22:35	ga_ls8c_ard_3-0-0_091076_2015-06-18_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
2018-06-04 09:17:52	ga_ls8c_ard_3-0-0_090081_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
2018-06-09 09:30:52	ga_ls8c_ard_3-0-0_093067_2018-06-09_final
2019-12-07 09:22:00	ga_ls8c_ard_3-1-0_091072_2019-12-06_final
2019-12-07 09:22:24	ga_ls8c_ard_3-1-0_091073_2019-12-06_final
2019-12-07 09:22:48	ga_ls8c_ard_3-1-0_091074_2019-12-06_final
2019-12-07 09:23:12	ga_ls8c_ard_3-1-0_091075_2019-12-06_final
2019-12-07 09:23:35	ga_ls8c_ard_3-1-0_091076_2019-12-06_final
2019-12-09 09:12:49	ga_ls8c_ard_3-1-0_089080_2019-12-08_final
2019-12-09 09:13:13	ga_ls8c_ard_3-1-0_089081_2019-12-08_final
2019-12-09 09:13:37	ga_ls8c_ard_3-1-0_089082_2019-12-08_final
2019-12-09 09:14:01	ga_ls8c_ard_3-1-0_089083_2019-12-08_final
2019-12-09 09:14:25	ga_ls8c_ard_3-1-0_089084_2019-12-08_final
2019-12-09 09:14:49	ga_ls8c_ard_3-1-0_089085_2019-12-08_final
2020-03-10 09:31:57	ga_ls8c_ard_3-1-0_093067_2020-03-10_final
2020-04-04 09:25:32	ga_ls8c_ard_3-1-0_092067_2020-04-03_final
2020-04-04 09:25:56	ga_ls8c_ard_3-1-0_092068_2020-04-03_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