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
2014-11-30 09:28:03	ga_ls8c_ard_3-0-0_092072_2014-11-29_final
2014-11-30 09:28:27	ga_ls8c_ard_3-0-0_092073_2014-11-29_final
2014-11-30 09:28:51	ga_ls8c_ard_3-0-0_092074_2014-11-29_final
2014-12-09 09:22:36	ga_ls8c_ard_3-0-0_091074_2014-12-08_final
2014-12-09 09:23:00	ga_ls8c_ard_3-0-0_091075_2014-12-08_final
2014-12-09 09:24:12	ga_ls8c_ard_3-0-0_091078_2014-12-08_final
2014-12-09 09:24:36	ga_ls8c_ard_3-0-0_091079_2014-12-08_final
2014-12-11 09:13:24	ga_ls8c_ard_3-0-0_089082_2014-12-10_final
2014-12-11 09:13:48	ga_ls8c_ard_3-0-0_089083_2014-12-10_final
2014-12-11 09:14:12	ga_ls8c_ard_3-0-0_089084_2014-12-10_final
2014-12-11 09:14:36	ga_ls8c_ard_3-0-0_089085_2014-12-10_final
2014-12-11 09:15:00	ga_ls8c_ard_3-0-0_089086_2014-12-10_final
2014-12-25 09:22:35	ga_ls8c_ard_3-0-0_091074_2014-12-24_final
2014-12-25 09:22:59	ga_ls8c_ard_3-0-0_091075_2014-12-24_final
2014-12-25 09:23:23	ga_ls8c_ard_3-0-0_091076_2014-12-24_final
2014-12-25 09:23:47	ga_ls8c_ard_3-0-0_091077_2014-12-24_final
2014-12-25 09:24:11	ga_ls8c_ard_3-0-0_091078_2014-12-24_final
2014-12-25 09:24:35	ga_ls8c_ard_3-0-0_091079_2014-12-24_final
2014-12-27 09:13:24	ga_ls8c_ard_3-0-0_089082_2014-12-26_final
2014-12-27 09:13:48	ga_ls8c_ard_3-0-0_089083_2014-12-26_final
2014-12-27 09:14:12	ga_ls8c_ard_3-0-0_089084_2014-12-26_final
2014-12-27 09:14:36	ga_ls8c_ard_3-0-0_089085_2014-12-26_final
2014-12-27 09:14:59	ga_ls8c_ard_3-0-0_089086_2014-12-26_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
2015-01-19 09:19:05	ga_ls8c_ard_3-0-0_090081_2015-01-18_final
2015-01-19 09:19:29	ga_ls8c_ard_3-0-0_090082_2015-01-18_final
2015-01-19 09:19:53	ga_ls8c_ard_3-0-0_090083_2015-01-18_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
2015-02-04 09:19:02	ga_ls8c_ard_3-0-0_090081_2015-02-03_final
2015-02-04 09:19:26	ga_ls8c_ard_3-0-0_090082_2015-02-03_final
2015-02-04 09:19:50	ga_ls8c_ard_3-0-0_090083_2015-02-03_final
2015-02-18 09:27:40	ga_ls8c_ard_3-0-0_092072_2015-02-17_final
2015-02-18 09:28:04	ga_ls8c_ard_3-0-0_092073_2015-02-17_final
2015-02-18 09:28:28	ga_ls8c_ard_3-0-0_092074_2015-02-17_final
2015-02-20 09:17:43	ga_ls8c_ard_3-0-0_090078_2015-02-19_final
2015-02-20 09:18:06	ga_ls8c_ard_3-0-0_090079_2015-02-19_final
2015-02-20 09:18:30	ga_ls8c_ard_3-0-0_090080_2015-02-19_final
2015-02-20 09:18:54	ga_ls8c_ard_3-0-0_090081_2015-02-19_final
2015-02-20 09:19:18	ga_ls8c_ard_3-0-0_090082_2015-02-19_final
2015-02-20 09:19:42	ga_ls8c_ard_3-0-0_090083_2015-02-19_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
2015-02-27 09:23:28	ga_ls8c_ard_3-0-0_091077_2015-02-26_final
2015-02-27 09:23:52	ga_ls8c_ard_3-0-0_091078_2015-02-26_final
2015-02-27 09:24:16	ga_ls8c_ard_3-0-0_091079_2015-02-26_final
2015-03-06 09:27:11	ga_ls8c_ard_3-0-0_092071_2015-03-05_final
2015-03-06 09:27:35	ga_ls8c_ard_3-0-0_092072_2015-03-05_final
2015-03-29 09:31:31	ga_ls8c_ard_3-0-0_093067_2015-03-29_final
2015-03-29 09:31:55	ga_ls8c_ard_3-0-0_093068_2015-03-29_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
2015-03-31 09:23:07	ga_ls8c_ard_3-0-0_091077_2015-03-30_final
2015-03-31 09:23:31	ga_ls8c_ard_3-0-0_091078_2015-03-30_final
2015-03-31 09:23:54	ga_ls8c_ard_3-0-0_091079_2015-03-30_final
2015-04-02 09:12:42	ga_ls8c_ard_3-0-0_089082_2015-04-01_final
2015-04-02 09:13:06	ga_ls8c_ard_3-0-0_089083_2015-04-01_final
2015-04-02 09:13:30	ga_ls8c_ard_3-0-0_089084_2015-04-01_final
2015-04-02 09:13:54	ga_ls8c_ard_3-0-0_089085_2015-04-01_final
2015-04-02 09:14:18	ga_ls8c_ard_3-0-0_089086_2015-04-01_final
2015-04-07 09:26:50	ga_ls8c_ard_3-0-0_092071_2015-04-06_final
2015-04-07 09:27:14	ga_ls8c_ard_3-0-0_092072_2015-04-06_final
2015-04-07 09:27:38	ga_ls8c_ard_3-0-0_092073_2015-04-06_final
2015-04-07 09:28:02	ga_ls8c_ard_3-0-0_092074_2015-04-06_final
2015-04-09 09:17:16	ga_ls8c_ard_3-0-0_090078_2015-04-08_final
2015-04-09 09:17:40	ga_ls8c_ard_3-0-0_090079_2015-04-08_final
2015-04-09 09:18:04	ga_ls8c_ard_3-1-0_090080_2015-04-08_final
2015-04-09 09:18:28	ga_ls8c_ard_3-0-0_090081_2015-04-08_final
2015-04-09 09:18:52	ga_ls8c_ard_3-0-0_090082_2015-04-08_final
2015-04-09 09:19:16	ga_ls8c_ard_3-0-0_090083_2015-04-08_final
2018-10-03 09:13:04	ga_ls8c_ard_3-0-0_089082_2018-10-02_final
2018-10-03 09:13:28	ga_ls8c_ard_3-0-0_089083_2018-10-02_final
2018-10-03 09:13:52	ga_ls8c_ard_3-0-0_089084_2018-10-02_final
2018-10-03 09:14:16	ga_ls8c_ard_3-0-0_089085_2018-10-02_final
2018-10-03 09:14:40	ga_ls8c_ard_3-0-0_089086_2018-10-02_final
2018-10-03 09:15:04	ga_ls8c_ard_3-0-0_089087_2018-10-02_final
2018-10-19 09:13:10	ga_ls8c_ard_3-0-0_089082_2018-10-18_final
2018-10-19 09:13:34	ga_ls8c_ard_3-0-0_089083_2018-10-18_final
2018-10-19 09:13:58	ga_ls8c_ard_3-0-0_089084_2018-10-18_final
2018-10-19 09:14:22	ga_ls8c_ard_3-0-0_089085_2018-10-18_final
2018-10-19 09:14:46	ga_ls8c_ard_3-0-0_089086_2018-10-18_final
2018-10-19 09:15:10	ga_ls8c_ard_3-0-0_089087_2018-10-18_final
2020-06-23 09:27:11	ga_ls8c_ard_3-1-0_092071_2020-06-22_final
2020-06-23 09:27:35	ga_ls8c_ard_3-1-0_092072_2020-06-22_final
2020-06-23 09:27:59	ga_ls8c_ard_3-1-0_092073_2020-06-22_final
2020-06-23 09:28:23	ga_ls8c_ard_3-1-0_092074_2020-06-22_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
2020-09-06 09:14:42	ga_ls8c_ard_3-1-0_089085_2020-09-05_final
2020-09-06 09:15:06	ga_ls8c_ard_3-1-0_089086_2020-09-05_final
2020-09-06 09:15:30	ga_ls8c_ard_3-1-0_089087_2020-09-05_final
2020-09-27 09:27:46	ga_ls8c_ard_3-1-0_092071_2020-09-26_final
2020-09-27 09:28:10	ga_ls8c_ard_3-1-0_092072_2020-09-26_final
2020-09-27 09:28:34	ga_ls8c_ard_3-1-0_092073_2020-09-26_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