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
2015-01-10 09:21:44	ga_ls8c_ard_3-0-0_091072_2015-01-09_final
2015-01-10 09:22:08	ga_ls8c_ard_3-0-0_091073_2015-01-09_final
2015-01-10 09:22:32	ga_ls8c_ard_3-0-0_091074_2015-01-09_final
2015-01-10 09:22:56	ga_ls8c_ard_3-0-0_091075_2015-01-09_final
2015-01-10 09:23:20	ga_ls8c_ard_3-0-0_091076_2015-01-09_final
2015-01-12 09:12:10	ga_ls8c_ard_3-0-0_089079_2015-01-11_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
2015-01-17 09:25:53	ga_ls8c_ard_3-0-0_092067_2015-01-16_final
2015-01-17 09:26:17	ga_ls8c_ard_3-0-0_092068_2015-01-16_final
2015-01-19 09:16:42	ga_ls8c_ard_3-0-0_090075_2015-01-18_final
2015-01-19 09:17:06	ga_ls8c_ard_3-0-0_090076_2015-01-18_final
2015-01-19 09:17:30	ga_ls8c_ard_3-0-0_090077_2015-01-18_final
2015-01-19 09:17:53	ga_ls8c_ard_3-0-0_090078_2015-01-18_final
2015-01-19 09:18:17	ga_ls8c_ard_3-0-0_090079_2015-01-18_final
2015-01-19 09:18:41	ga_ls8c_ard_3-0-0_090080_2015-01-18_final
2015-02-04 09:16:38	ga_ls8c_ard_3-0-0_090075_2015-02-03_final
2015-02-04 09:17:02	ga_ls8c_ard_3-0-0_090076_2015-02-03_final
2015-02-04 09:17:26	ga_ls8c_ard_3-0-0_090077_2015-02-03_final
2015-02-04 09:17:50	ga_ls8c_ard_3-0-0_090078_2015-02-03_final
2015-02-04 09:18:14	ga_ls8c_ard_3-0-0_090079_2015-02-03_final
2015-02-04 09:18:38	ga_ls8c_ard_3-1-0_090080_2015-02-03_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
2015-04-16 09:21:04	ga_ls8c_ard_3-0-0_091072_2015-04-15_final
2015-04-16 09:21:28	ga_ls8c_ard_3-0-0_091073_2015-04-15_final
2015-04-16 09:21:52	ga_ls8c_ard_3-0-0_091074_2015-04-15_final
2015-04-16 09:22:16	ga_ls8c_ard_3-0-0_091075_2015-04-15_final
2015-05-02 09:20:54	ga_ls8c_ard_3-0-0_091072_2015-05-01_final
2015-05-02 09:21:18	ga_ls8c_ard_3-0-0_091073_2015-05-01_final
2015-05-02 09:21:42	ga_ls8c_ard_3-0-0_091074_2015-05-01_final
2015-05-02 09:22:06	ga_ls8c_ard_3-0-0_091075_2015-05-01_final
2015-05-18 09:20:43	ga_ls8c_ard_3-0-0_091072_2015-05-17_final
2015-05-18 09:21:07	ga_ls8c_ard_3-0-0_091073_2015-05-17_final
2015-05-18 09:21:31	ga_ls8c_ard_3-0-0_091074_2015-05-17_final
2015-05-18 09:21:54	ga_ls8c_ard_3-0-0_091075_2015-05-17_final
2015-06-21 09:11:26	ga_ls8c_ard_3-0-0_089079_2015-06-20_final
2015-06-21 09:11:50	ga_ls8c_ard_3-0-0_089080_2015-06-20_final
2015-06-21 09:12:14	ga_ls8c_ard_3-0-0_089081_2015-06-20_final
2015-06-21 09:12:38	ga_ls8c_ard_3-0-0_089082_2015-06-20_final
2015-06-21 09:13:02	ga_ls8c_ard_3-0-0_089083_2015-06-20_final
2015-06-21 09:13:26	ga_ls8c_ard_3-0-0_089084_2015-06-20_final
2015-10-25 09:21:46	ga_ls8c_ard_3-0-0_091072_2015-10-24_final
2015-10-25 09:22:10	ga_ls8c_ard_3-0-0_091073_2015-10-24_final
2015-10-25 09:22:34	ga_ls8c_ard_3-0-0_091074_2015-10-24_final
2015-10-25 09:22:58	ga_ls8c_ard_3-0-0_091075_2015-10-24_final
2015-10-25 09:23:22	ga_ls8c_ard_3-0-0_091076_2015-10-24_final
2015-11-10 09:21:47	ga_ls8c_ard_3-0-0_091072_2015-11-09_final
2015-11-10 09:22:11	ga_ls8c_ard_3-0-0_091073_2015-11-09_final
2018-02-14 09:07:21	ga_ls8c_ard_3-0-0_088083_2018-02-13_final
2018-02-14 09:07:45	ga_ls8c_ard_3-0-0_088084_2018-02-13_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
2019-12-09 09:12:26	ga_ls8c_ard_3-1-0_089079_2019-12-08_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
2019-12-23 09:21:57	ga_ls8c_ard_3-1-0_091072_2019-12-22_final
2019-12-23 09:22:21	ga_ls8c_ard_3-1-0_091073_2019-12-22_final
2019-12-23 09:22:45	ga_ls8c_ard_3-1-0_091074_2019-12-22_final
2019-12-23 09:23:09	ga_ls8c_ard_3-1-0_091075_2019-12-22_final
2019-12-23 09:23:33	ga_ls8c_ard_3-1-0_091076_2019-12-22_final
2020-01-08 09:21:53	ga_ls8c_ard_3-1-0_091072_2020-01-07_final
2020-01-08 09:22:17	ga_ls8c_ard_3-1-0_091073_2020-01-07_final
2020-01-08 09:22:41	ga_ls8c_ard_3-1-0_091074_2020-01-07_final
2020-01-08 09:23:05	ga_ls8c_ard_3-1-0_091075_2020-01-07_final
2020-01-08 09:23:29	ga_ls8c_ard_3-1-0_091076_2020-01-07_final
2020-02-25 09:21:40	ga_ls8c_ard_3-1-0_091072_2020-02-24_final
2020-02-25 09:22:04	ga_ls8c_ard_3-1-0_091073_2020-02-24_final
2020-02-25 09:22:28	ga_ls8c_ard_3-1-0_091074_2020-02-24_final
2020-02-25 09:22:52	ga_ls8c_ard_3-1-0_091075_2020-02-24_final
2020-02-25 09:23:16	ga_ls8c_ard_3-1-0_091076_2020-02-24_final
2020-03-03 09:25:49	ga_ls8c_ard_3-1-0_092067_2020-03-02_final
2020-03-03 09:26:13	ga_ls8c_ard_3-1-0_092068_2020-03-02_final
2020-03-03 09:27:25	ga_ls8c_ard_3-1-0_092071_2020-03-02_final
2020-03-14 09:11:59	ga_ls8c_ard_3-1-0_089079_2020-03-13_final
2020-03-14 09:12:23	ga_ls8c_ard_3-1-0_089080_2020-03-13_final
2020-03-14 09:12:47	ga_ls8c_ard_3-1-0_089081_2020-03-13_final
2020-03-14 09:13:11	ga_ls8c_ard_3-1-0_089082_2020-03-13_final
2020-03-14 09:13:35	ga_ls8c_ard_3-1-0_089083_2020-03-13_final
2020-03-14 09:13:59	ga_ls8c_ard_3-1-0_089084_2020-03-13_final
2020-03-28 09:21:25	ga_ls8c_ard_3-1-0_091072_2020-03-27_final
2020-03-28 09:21:49	ga_ls8c_ard_3-1-0_091073_2020-03-27_final
2020-03-28 09:22:13	ga_ls8c_ard_3-1-0_091074_2020-03-27_final
2020-03-28 09:22:37	ga_ls8c_ard_3-1-0_091075_2020-03-27_final
2020-03-28 09:23:01	ga_ls8c_ard_3-1-0_091076_2020-03-27_final
2020-04-13 09:21:18	ga_ls8c_ard_3-1-0_091072_2020-04-12_final
2020-04-13 09:21:42	ga_ls8c_ard_3-1-0_091073_2020-04-12_final
2020-04-13 09:22:06	ga_ls8c_ard_3-1-0_091074_2020-04-12_final
2020-04-13 09:22:30	ga_ls8c_ard_3-1-0_091075_2020-04-12_final
2020-04-13 09:22:54	ga_ls8c_ard_3-1-0_091076_2020-04-12_final
2020-05-15 09:21:06	ga_ls8c_ard_3-1-0_091072_2020-05-14_final
2020-05-15 09:21:30	ga_ls8c_ard_3-1-0_091073_2020-05-14_final
2020-05-15 09:21:54	ga_ls8c_ard_3-1-0_091074_2020-05-14_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