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
2014-03-05 09:17:16	ga_ls8c_ard_3-0-0_090075_2014-03-04_final
2014-03-05 09:17:40	ga_ls8c_ard_3-0-0_090076_2014-03-04_final
2014-03-05 09:18:04	ga_ls8c_ard_3-0-0_090077_2014-03-04_final
2014-03-05 09:18:28	ga_ls8c_ard_3-1-0_090078_2014-03-04_final
2014-03-05 09:18:52	ga_ls8c_ard_3-0-0_090079_2014-03-04_final
2014-03-05 09:19:16	ga_ls8c_ard_3-0-0_090080_2014-03-04_final
2014-03-14 09:12:38	ga_ls8c_ard_3-0-0_089079_2014-03-13_final
2014-03-14 09:13:02	ga_ls8c_ard_3-0-0_089080_2014-03-13_final
2014-03-14 09:13:26	ga_ls8c_ard_3-0-0_089081_2014-03-13_final
2014-03-14 09:13:50	ga_ls8c_ard_3-0-0_089082_2014-03-13_final
2014-03-14 09:14:14	ga_ls8c_ard_3-0-0_089083_2014-03-13_final
2014-03-14 09:14:38	ga_ls8c_ard_3-0-0_089084_2014-03-13_final
2014-05-31 09:21:16	ga_ls8c_ard_3-0-0_091072_2014-05-30_final
2014-05-31 09:21:40	ga_ls8c_ard_3-0-0_091073_2014-05-30_final
2014-05-31 09:22:04	ga_ls8c_ard_3-0-0_091074_2014-05-30_final
2014-05-31 09:22:28	ga_ls8c_ard_3-0-0_091075_2014-05-30_final
2016-01-20 09:25:57	ga_ls8c_ard_3-0-0_092067_2016-01-19_final
2016-01-20 09:26:21	ga_ls8c_ard_3-0-0_092068_2016-01-19_final
2016-01-20 09:27:33	ga_ls8c_ard_3-0-0_092071_2016-01-19_final
2016-02-05 09:25:54	ga_ls8c_ard_3-0-0_092067_2016-02-04_final
2016-02-05 09:26:18	ga_ls8c_ard_3-0-0_092068_2016-02-04_final
2016-02-05 09:27:30	ga_ls8c_ard_3-0-0_092071_2016-02-04_final
2016-03-08 09:25:45	ga_ls8c_ard_3-0-0_092067_2016-03-07_final
2016-03-08 09:26:09	ga_ls8c_ard_3-0-0_092068_2016-03-07_final
2016-03-08 09:27:20	ga_ls8c_ard_3-0-0_092071_2016-03-07_final
2016-03-24 09:25:37	ga_ls8c_ard_3-0-0_092067_2016-03-23_final
2016-03-24 09:26:01	ga_ls8c_ard_3-0-0_092068_2016-03-23_final
2016-03-24 09:27:13	ga_ls8c_ard_3-0-0_092071_2016-03-23_final
2018-06-02 09:24:39	ga_ls8c_ard_3-0-0_092067_2018-06-01_final
2018-06-02 09:25:03	ga_ls8c_ard_3-0-0_092068_2018-06-01_final
2018-06-02 09:26:15	ga_ls8c_ard_3-0-0_092071_2018-06-01_final
2018-06-04 09:15:05	ga_ls8c_ard_3-0-0_090074_2018-06-03_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
2018-06-06 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
2018-06-11 09:20:31	ga_ls8c_ard_3-0-0_091072_2018-06-10_final
2018-06-11 09:20:55	ga_ls8c_ard_3-0-0_091073_2018-06-10_final
2018-06-11 09:21:19	ga_ls8c_ard_3-0-0_091074_2018-06-10_final
2018-06-11 09:21:43	ga_ls8c_ard_3-0-0_091075_2018-06-10_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
2018-07-04 09:26:33	ga_ls8c_ard_3-0-0_092071_2018-07-03_final
2018-07-06 09:15:24	ga_ls8c_ard_3-0-0_090074_2018-07-05_final
2018-07-06 09:15:48	ga_ls8c_ard_3-0-0_090075_2018-07-05_final
2018-07-06 09:16:12	ga_ls8c_ard_3-0-0_090076_2018-07-05_final
2018-07-06 09:16:36	ga_ls8c_ard_3-0-0_090077_2018-07-05_final
2018-07-06 09:17:00	ga_ls8c_ard_3-0-0_090078_2018-07-05_final
2018-07-06 09:17:24	ga_ls8c_ard_3-0-0_090079_2018-07-05_final
2018-07-06 09:17:48	ga_ls8c_ard_3-0-0_090080_2018-07-05_final
2018-07-08 09:06:39	ga_ls8c_ard_3-0-0_088083_2018-07-07_final
2018-07-08 09:07:03	ga_ls8c_ard_3-0-0_088084_2018-07-07_final
2018-07-13 09:20:50	ga_ls8c_ard_3-0-0_091072_2018-07-12_final
2018-07-13 09:21:14	ga_ls8c_ard_3-0-0_091073_2018-07-12_final
2018-07-13 09:21:38	ga_ls8c_ard_3-0-0_091074_2018-07-12_final
2018-07-13 09:22:02	ga_ls8c_ard_3-0-0_091075_2018-07-12_final
2018-07-20 09:25:04	ga_ls8c_ard_3-0-0_092067_2018-07-19_final
2018-07-20 09:25:28	ga_ls8c_ard_3-0-0_092068_2018-07-19_final
2018-07-20 09:26:40	ga_ls8c_ard_3-0-0_092071_2018-07-19_final
2018-07-22 09:15:31	ga_ls8c_ard_3-0-0_090074_2018-07-21_final
2018-07-22 09:15:55	ga_ls8c_ard_3-0-0_090075_2018-07-21_final
2018-07-22 09:16:19	ga_ls8c_ard_3-0-0_090076_2018-07-21_final
2018-07-22 09:16:43	ga_ls8c_ard_3-0-0_090077_2018-07-21_final
2018-07-22 09:17:06	ga_ls8c_ard_3-0-0_090078_2018-07-21_final
2018-07-22 09:17:30	ga_ls8c_ard_3-0-0_090079_2018-07-21_final
2018-07-22 09:17:54	ga_ls8c_ard_3-0-0_090080_2018-07-21_final
2018-07-24 09:06:45	ga_ls8c_ard_3-0-0_088083_2018-07-23_final
2018-07-24 09:07:09	ga_ls8c_ard_3-0-0_088084_2018-07-23_final
2018-08-05 09:25:12	ga_ls8c_ard_3-0-0_092067_2018-08-04_final
2018-08-05 09:25:36	ga_ls8c_ard_3-0-0_092068_2018-08-04_final
2018-08-07 09:15:39	ga_ls8c_ard_3-0-0_090074_2018-08-06_final
2018-08-07 09:16:03	ga_ls8c_ard_3-0-0_090075_2018-08-06_final
2018-08-09 09:06:54	ga_ls8c_ard_3-0-0_088083_2018-08-08_final
2018-08-09 09:07:18	ga_ls8c_ard_3-0-0_088084_2018-08-08_final
2018-09-06 09:25:27	ga_ls8c_ard_3-0-0_092067_2018-09-05_final
2018-09-06 09:25:51	ga_ls8c_ard_3-0-0_092068_2018-09-05_final
2022-08-20 09:08:04	ga_ls8c_ard_3-2-1_088083_2022-08-19_final
2022-10-23 09:08:08	ga_ls8c_ard_3-2-1_088083_2022-10-22_final
2022-10-28 09:22:19	ga_ls8c_ard_3-2-1_091072_2022-10-27_final
2022-10-28 09:22:43	ga_ls8c_ard_3-2-1_091073_2022-10-27_final
2022-10-28 09:23:07	ga_ls8c_ard_3-2-1_091074_2022-10-27_final
2022-10-28 09:23:31	ga_ls8c_ard_3-2-1_091075_2022-10-27_final
2022-10-30 09:12:45	ga_ls8c_ard_3-2-1_089079_2022-10-29_final
2022-10-30 09:13:09	ga_ls8c_ard_3-2-1_089080_2022-10-29_final
2022-10-30 09:13:33	ga_ls8c_ard_3-2-1_089081_2022-10-29_final
2022-10-30 09:13:57	ga_ls8c_ard_3-2-1_089082_2022-10-29_final
2022-10-30 09:14:21	ga_ls8c_ard_3-2-1_089083_2022-10-29_final
2022-10-30 09:14:45	ga_ls8c_ard_3-2-1_089084_2022-10-29_final
2022-11-04 09:28:06	ga_ls8c_ard_3-2-1_092071_2022-11-03_final
2022-11-06 09:16:56	ga_ls8c_ard_3-2-1_090074_2022-11-05_final
2022-11-06 09:17:20	ga_ls8c_ard_3-2-1_090075_2022-11-05_final
2022-11-06 09:17:44	ga_ls8c_ard_3-2-1_090076_2022-11-05_final
2022-11-06 09:18:08	ga_ls8c_ard_3-2-1_090077_2022-11-05_final
2022-11-06 09:18:32	ga_ls8c_ard_3-2-1_090078_2022-11-05_final
2022-11-06 09:18:56	ga_ls8c_ard_3-2-1_090079_2022-11-05_final
2022-11-06 09:19:20	ga_ls8c_ard_3-2-1_090080_2022-11-05_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years