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
2015-02-02 09:25:49	ga_ls8c_ard_3-0-0_092067_2015-02-01_final
2015-02-02 09:26:13	ga_ls8c_ard_3-0-0_092068_2015-02-01_final
2015-02-22 09:07:20	ga_ls8c_ard_3-0-0_088083_2015-02-21_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
2015-03-26 09:07:03	ga_ls8c_ard_3-0-0_088083_2015-03-25_final
2015-03-26 09:07:27	ga_ls8c_ard_3-0-0_088084_2015-03-25_final
2015-04-11 09:06:54	ga_ls8c_ard_3-0-0_088083_2015-04-10_final
2015-04-11 09:07:18	ga_ls8c_ard_3-0-0_088084_2015-04-10_final
2015-04-23 09:25:13	ga_ls8c_ard_3-0-0_092067_2015-04-22_final
2015-04-23 09:25:37	ga_ls8c_ard_3-0-0_092068_2015-04-22_final
2015-04-23 09:26:49	ga_ls8c_ard_3-0-0_092071_2015-04-22_final
2015-05-13 09:06:34	ga_ls8c_ard_3-0-0_088083_2015-05-12_final
2015-05-13 09:06:58	ga_ls8c_ard_3-0-0_088084_2015-05-12_final
2015-05-25 09:24:56	ga_ls8c_ard_3-0-0_092067_2015-05-24_final
2015-05-25 09:25:20	ga_ls8c_ard_3-0-0_092068_2015-05-24_final
2015-05-25 09:26:32	ga_ls8c_ard_3-0-0_092071_2015-05-24_final
2015-06-10 09:25:06	ga_ls8c_ard_3-0-0_092067_2015-06-09_final
2015-06-10 09:25:30	ga_ls8c_ard_3-0-0_092068_2015-06-09_final
2015-06-10 09:26:42	ga_ls8c_ard_3-0-0_092071_2015-06-09_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
2015-09-14 09:25:47	ga_ls8c_ard_3-0-0_092067_2015-09-13_final
2015-09-14 09:26:11	ga_ls8c_ard_3-0-0_092068_2015-09-13_final
2015-10-04 09:07:33	ga_ls8c_ard_3-0-0_088083_2015-10-03_final
2015-10-04 09:07:57	ga_ls8c_ard_3-0-0_088084_2015-10-03_final
2015-10-09 09:22:06	ga_ls8c_ard_3-0-0_091073_2015-10-08_final
2015-10-11 09:12:08	ga_ls8c_ard_3-0-0_089079_2015-10-10_final
2015-10-11 09:12:32	ga_ls8c_ard_3-0-0_089080_2015-10-10_final
2015-10-11 09:12:56	ga_ls8c_ard_3-0-0_089081_2015-10-10_final
2015-10-11 09:13:20	ga_ls8c_ard_3-0-0_089082_2015-10-10_final
2015-10-11 09:13:44	ga_ls8c_ard_3-0-0_089083_2015-10-10_final
2015-10-11 09:14:07	ga_ls8c_ard_3-0-0_089084_2015-10-10_final
2016-07-09 09:12:02	ga_ls8c_ard_3-0-0_089079_2016-07-08_final
2016-07-09 09:12:26	ga_ls8c_ard_3-0-0_089080_2016-07-08_final
2016-07-09 09:12:49	ga_ls8c_ard_3-0-0_089081_2016-07-08_final
2016-08-19 09:07:38	ga_ls8c_ard_3-0-0_088083_2016-08-18_final
2016-08-19 09:08:02	ga_ls8c_ard_3-0-0_088084_2016-08-18_final
2016-08-26 09:12:16	ga_ls8c_ard_3-0-0_089079_2016-08-25_final
2016-08-26 09:12:40	ga_ls8c_ard_3-0-0_089080_2016-08-25_final
2016-08-26 09:13:04	ga_ls8c_ard_3-0-0_089081_2016-08-25_final
2016-08-26 09:13:28	ga_ls8c_ard_3-0-0_089082_2016-08-25_final
2016-08-26 09:13:52	ga_ls8c_ard_3-0-0_089083_2016-08-25_final
2016-08-26 09:14:16	ga_ls8c_ard_3-0-0_089084_2016-08-25_final
2016-11-07 09:07:52	ga_ls8c_ard_3-0-0_088083_2016-11-06_final
2016-11-07 09:08:16	ga_ls8c_ard_3-0-0_088084_2016-11-06_final
2016-11-21 09:16:38	ga_ls8c_ard_3-0-0_090074_2016-11-20_final
2016-11-21 09:17:02	ga_ls8c_ard_3-0-0_090075_2016-11-20_final
2016-11-21 09:17:26	ga_ls8c_ard_3-0-0_090076_2016-11-20_final
2016-11-21 09:17:50	ga_ls8c_ard_3-0-0_090077_2016-11-20_final
2016-11-21 09:18:14	ga_ls8c_ard_3-0-0_090078_2016-11-20_final
2016-11-21 09:18:38	ga_ls8c_ard_3-0-0_090079_2016-11-20_final
2016-11-21 09:19:02	ga_ls8c_ard_3-0-0_090080_2016-11-20_final
2016-12-09 09:07:50	ga_ls8c_ard_3-0-0_088083_2016-12-08_final
2016-12-09 09:08:14	ga_ls8c_ard_3-0-0_088084_2016-12-08_final
2017-03-04 09:21:31	ga_ls8c_ard_3-0-0_091072_2017-03-03_final
2017-03-04 09:21:55	ga_ls8c_ard_3-0-0_091073_2017-03-03_final
2017-03-04 09:22:19	ga_ls8c_ard_3-0-0_091074_2017-03-03_final
2017-03-04 09:22:43	ga_ls8c_ard_3-0-0_091075_2017-03-03_final
2017-04-28 09:25:11	ga_ls8c_ard_3-0-0_092067_2017-04-27_final
2017-04-28 09:25:35	ga_ls8c_ard_3-0-0_092068_2017-04-27_final
2017-04-28 09:26:46	ga_ls8c_ard_3-0-0_092071_2017-04-27_final
2017-06-15 09:25:34	ga_ls8c_ard_3-0-0_092067_2017-06-14_final
2017-06-15 09:25:58	ga_ls8c_ard_3-0-0_092068_2017-06-14_final
2017-06-15 09:27:10	ga_ls8c_ard_3-0-0_092071_2017-06-14_final
2017-07-05 09:07:19	ga_ls8c_ard_3-0-0_088083_2017-07-04_final
2017-07-05 09:07:43	ga_ls8c_ard_3-0-0_088084_2017-07-04_final
2017-08-02 09:25:50	ga_ls8c_ard_3-0-0_092067_2017-08-01_final
2017-08-02 09:26:14	ga_ls8c_ard_3-0-0_092068_2017-08-01_final
2017-08-02 09:27:26	ga_ls8c_ard_3-0-0_092071_2017-08-01_final
2017-08-18 09:25:56	ga_ls8c_ard_3-0-0_092067_2017-08-17_final
2017-08-18 09:26:20	ga_ls8c_ard_3-0-0_092068_2017-08-17_final
2017-08-18 09:27:31	ga_ls8c_ard_3-0-0_092071_2017-08-17_final
2018-02-21 09:11:53	ga_ls8c_ard_3-0-0_089079_2018-02-20_final
2018-02-21 09:12:17	ga_ls8c_ard_3-0-0_089080_2018-02-20_final
2018-02-21 09:12:41	ga_ls8c_ard_3-0-0_089081_2018-02-20_final
2018-02-21 09:13:05	ga_ls8c_ard_3-0-0_089082_2018-02-20_final
2018-02-21 09:13:29	ga_ls8c_ard_3-0-0_089083_2018-02-20_final
2018-02-21 09:13:53	ga_ls8c_ard_3-0-0_089084_2018-02-20_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
2018-02-26 09:27:12	ga_ls8c_ard_3-0-0_092071_2018-02-25_final
2018-05-03 09:15:27	ga_ls8c_ard_3-0-0_090074_2018-05-02_final
2018-05-03 09:15:51	ga_ls8c_ard_3-0-0_090075_2018-05-02_final
2018-05-03 09:16:15	ga_ls8c_ard_3-0-0_090076_2018-05-02_final
2018-05-03 09:16:39	ga_ls8c_ard_3-0-0_090077_2018-05-02_final
2018-05-03 09:17:03	ga_ls8c_ard_3-0-0_090078_2018-05-02_final
2018-05-03 09:17:27	ga_ls8c_ard_3-0-0_090079_2018-05-02_final
2018-05-03 09:17:51	ga_ls8c_ard_3-0-0_090080_2018-05-02_final
2018-05-05 09:06:40	ga_ls8c_ard_3-0-0_088083_2018-05-04_final
2018-05-05 09:07:04	ga_ls8c_ard_3-0-0_088084_2018-05-04_final
2018-05-17 09:24:52	ga_ls8c_ard_3-0-0_092067_2018-05-16_final
2018-05-17 09:25:16	ga_ls8c_ard_3-0-0_092068_2018-05-16_final
2018-05-17 09:26:27	ga_ls8c_ard_3-0-0_092071_2018-05-16_final
2018-07-04 09:24:57	ga_ls8c_ard_3-0-0_092067_2018-07-03_final
2018-07-04 09:25:21	ga_ls8c_ard_3-0-0_092068_2018-07-03_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