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
2014-07-25 09:25:45	ga_ls8c_ard_3-0-0_092067_2014-07-24_final
2014-07-25 09:26:09	ga_ls8c_ard_3-0-0_092068_2014-07-24_final
2014-07-25 09:27:44	ga_ls8c_ard_3-0-0_092072_2014-07-24_final
2014-07-27 09:16:36	ga_ls8c_ard_3-0-0_090075_2014-07-26_final
2014-07-27 09:17:00	ga_ls8c_ard_3-0-0_090076_2014-07-26_final
2014-07-27 09:17:24	ga_ls8c_ard_3-0-0_090077_2014-07-26_final
2014-07-27 09:17:48	ga_ls8c_ard_3-0-0_090078_2014-07-26_final
2014-07-27 09:18:12	ga_ls8c_ard_3-0-0_090079_2014-07-26_final
2014-07-27 09:18:36	ga_ls8c_ard_3-0-0_090080_2014-07-26_final
2014-07-27 09:19:00	ga_ls8c_ard_3-0-0_090081_2014-07-26_final
2014-08-03 09:21:40	ga_ls8c_ard_3-0-0_091072_2014-08-02_final
2014-08-03 09:22:04	ga_ls8c_ard_3-0-0_091073_2014-08-02_final
2014-08-03 09:22:28	ga_ls8c_ard_3-0-0_091074_2014-08-02_final
2014-08-03 09:22:52	ga_ls8c_ard_3-0-0_091075_2014-08-02_final
2014-08-03 09:23:16	ga_ls8c_ard_3-0-0_091076_2014-08-02_final
2014-08-05 09:12:07	ga_ls8c_ard_3-0-0_089079_2014-08-04_final
2014-08-05 09:12:31	ga_ls8c_ard_3-0-0_089080_2014-08-04_final
2014-08-05 09:12:55	ga_ls8c_ard_3-0-0_089081_2014-08-04_final
2014-08-05 09:13:19	ga_ls8c_ard_3-0-0_089082_2014-08-04_final
2014-08-05 09:13:43	ga_ls8c_ard_3-0-0_089083_2014-08-04_final
2014-08-05 09:14:07	ga_ls8c_ard_3-0-0_089084_2014-08-04_final
2014-08-05 09:14:31	ga_ls8c_ard_3-0-0_089085_2014-08-04_final
2014-10-08 09:12:19	ga_ls8c_ard_3-0-0_089079_2014-10-07_final
2014-10-08 09:12:43	ga_ls8c_ard_3-0-0_089080_2014-10-07_final
2014-10-08 09:13:07	ga_ls8c_ard_3-0-0_089081_2014-10-07_final
2014-10-08 09:13:31	ga_ls8c_ard_3-0-0_089082_2014-10-07_final
2014-10-08 09:13:55	ga_ls8c_ard_3-0-0_089083_2014-10-07_final
2014-10-08 09:14:18	ga_ls8c_ard_3-0-0_089084_2014-10-07_final
2014-10-08 09:14:42	ga_ls8c_ard_3-0-0_089085_2014-10-07_final
2014-10-13 09:26:05	ga_ls8c_ard_3-0-0_092067_2014-10-12_final
2014-10-13 09:26:29	ga_ls8c_ard_3-0-0_092068_2014-10-12_final
2014-11-05 09:32:16	ga_ls8c_ard_3-0-0_093067_2014-11-05_final
2014-11-07 09:21:55	ga_ls8c_ard_3-0-0_091072_2014-11-06_final
2014-11-07 09:22:19	ga_ls8c_ard_3-0-0_091073_2014-11-06_final
2014-11-07 09:22:42	ga_ls8c_ard_3-0-0_091074_2014-11-06_final
2014-11-07 09:23:06	ga_ls8c_ard_3-0-0_091075_2014-11-06_final
2014-11-07 09:23:30	ga_ls8c_ard_3-0-0_091076_2014-11-06_final
2014-11-09 09:12:21	ga_ls8c_ard_3-0-0_089079_2014-11-08_final
2014-11-09 09:12:45	ga_ls8c_ard_3-0-0_089080_2014-11-08_final
2014-11-09 09:13:09	ga_ls8c_ard_3-0-0_089081_2014-11-08_final
2014-11-09 09:13:33	ga_ls8c_ard_3-0-0_089082_2014-11-08_final
2014-11-09 09:13:57	ga_ls8c_ard_3-0-0_089083_2014-11-08_final
2014-11-09 09:14:21	ga_ls8c_ard_3-0-0_089084_2014-11-08_final
2014-11-09 09:14:45	ga_ls8c_ard_3-0-0_089085_2014-11-08_final
2014-11-16 09:16:55	ga_ls8c_ard_3-0-0_090075_2014-11-15_final
2014-11-16 09:17:18	ga_ls8c_ard_3-0-0_090076_2014-11-15_final
2014-11-16 09:17:42	ga_ls8c_ard_3-0-0_090077_2014-11-15_final
2014-11-16 09:18:06	ga_ls8c_ard_3-0-0_090078_2014-11-15_final
2014-11-16 09:18:30	ga_ls8c_ard_3-0-0_090079_2014-11-15_final
2014-11-16 09:18:54	ga_ls8c_ard_3-0-0_090080_2014-11-15_final
2014-11-16 09:19:18	ga_ls8c_ard_3-0-0_090081_2014-11-15_final
2014-11-21 09:32:12	ga_ls8c_ard_3-0-0_093067_2014-11-21_final
2014-11-23 09:21:51	ga_ls8c_ard_3-0-0_091072_2014-11-22_final
2014-11-23 09:22:15	ga_ls8c_ard_3-0-0_091073_2014-11-22_final
2014-11-23 09:22:39	ga_ls8c_ard_3-0-0_091074_2014-11-22_final
2014-11-23 09:23:03	ga_ls8c_ard_3-0-0_091075_2014-11-22_final
2014-11-23 09:23:27	ga_ls8c_ard_3-0-0_091076_2014-11-22_final
2014-11-25 09:12:18	ga_ls8c_ard_3-0-0_089079_2014-11-24_final
2014-11-25 09:12:42	ga_ls8c_ard_3-0-0_089080_2014-11-24_final
2014-11-25 09:13:06	ga_ls8c_ard_3-0-0_089081_2014-11-24_final
2014-11-25 09:13:30	ga_ls8c_ard_3-0-0_089082_2014-11-24_final
2014-11-25 09:13:54	ga_ls8c_ard_3-0-0_089083_2014-11-24_final
2014-11-25 09:14:18	ga_ls8c_ard_3-0-0_089084_2014-11-24_final
2014-11-25 09:14:42	ga_ls8c_ard_3-0-0_089085_2014-11-24_final
2014-12-02 09:16:53	ga_ls8c_ard_3-0-0_090075_2014-12-01_final
2014-12-07 09:32:12	ga_ls8c_ard_3-0-0_093067_2014-12-07_final
2020-03-12 09:21:34	ga_ls8c_ard_3-1-0_091072_2020-03-11_final
2020-03-12 09:21:58	ga_ls8c_ard_3-1-0_091073_2020-03-11_final
2020-03-12 09:22:22	ga_ls8c_ard_3-1-0_091074_2020-03-11_final
2020-03-12 09:22:46	ga_ls8c_ard_3-1-0_091075_2020-03-11_final
2020-03-12 09:23:10	ga_ls8c_ard_3-1-0_091076_2020-03-11_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
2020-03-14 09:14:23	ga_ls8c_ard_3-1-0_089085_2020-03-13_final
2020-05-17 09:11:32	ga_ls8c_ard_3-1-0_089079_2020-05-16_final
2020-05-17 09:11:56	ga_ls8c_ard_3-1-0_089080_2020-05-16_final
2020-05-17 09:12:20	ga_ls8c_ard_3-1-0_089081_2020-05-16_final
2020-05-17 09:12:44	ga_ls8c_ard_3-1-0_089082_2020-05-16_final
2020-05-17 09:13:08	ga_ls8c_ard_3-1-0_089083_2020-05-16_final
2020-05-17 09:13:32	ga_ls8c_ard_3-1-0_089084_2020-05-16_final
2020-05-17 09:13:56	ga_ls8c_ard_3-1-0_089085_2020-05-16_final
2020-06-18 09:11:47	ga_ls8c_ard_3-1-0_089079_2020-06-17_final
2020-06-18 09:12:11	ga_ls8c_ard_3-1-0_089080_2020-06-17_final
2020-06-18 09:12:35	ga_ls8c_ard_3-1-0_089081_2020-06-17_final
2020-06-18 09:12:59	ga_ls8c_ard_3-1-0_089082_2020-06-17_final
2020-06-18 09:13:23	ga_ls8c_ard_3-1-0_089083_2020-06-17_final
2020-06-18 09:13:47	ga_ls8c_ard_3-1-0_089084_2020-06-17_final
2020-06-18 09:14:11	ga_ls8c_ard_3-1-0_089085_2020-06-17_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
2020-09-06 09:12:18	ga_ls8c_ard_3-1-0_089079_2020-09-05_final
2020-09-06 09:12:42	ga_ls8c_ard_3-1-0_089080_2020-09-05_final
2020-09-06 09:13:06	ga_ls8c_ard_3-1-0_089081_2020-09-05_final
2020-09-06 09:13:30	ga_ls8c_ard_3-1-0_089082_2020-09-05_final
2020-09-06 09:13:54	ga_ls8c_ard_3-1-0_089083_2020-09-05_final
2020-09-06 09:14:18	ga_ls8c_ard_3-1-0_089084_2020-09-05_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