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
2013-07-13 09:34:02	ga_ls8c_ard_3-0-0_093067_2013-07-13_final
2013-07-13 09:34:26	ga_ls8c_ard_3-0-0_093068_2013-07-13_final
2013-09-15 09:34:02	ga_ls8c_ard_3-0-0_093067_2013-09-15_final
2013-09-15 09:34:26	ga_ls8c_ard_3-0-0_093068_2013-09-15_final
2013-09-26 09:20:10	ga_ls8c_ard_3-0-0_090079_2013-09-25_final
2013-09-26 09:20:34	ga_ls8c_ard_3-0-0_090080_2013-09-25_final
2013-09-26 09:20:58	ga_ls8c_ard_3-0-0_090081_2013-09-25_final
2013-09-26 09:21:22	ga_ls8c_ard_3-0-0_090082_2013-09-25_final
2013-09-26 09:21:46	ga_ls8c_ard_3-0-0_090083_2013-09-25_final
2013-09-26 09:22:10	ga_ls8c_ard_3-0-0_090084_2013-09-25_final
2013-10-12 09:20:10	ga_ls8c_ard_3-0-0_090079_2013-10-11_final
2013-10-12 09:20:34	ga_ls8c_ard_3-0-0_090080_2013-10-11_final
2013-10-12 09:21:46	ga_ls8c_ard_3-0-0_090083_2013-10-11_final
2013-10-12 09:22:10	ga_ls8c_ard_3-0-0_090084_2013-10-11_final
2013-12-29 09:29:17	ga_ls8c_ard_3-0-0_092072_2013-12-28_final
2013-12-29 09:29:41	ga_ls8c_ard_3-0-0_092073_2013-12-28_final
2013-12-29 09:30:05	ga_ls8c_ard_3-0-0_092074_2013-12-29_final
2013-12-29 09:30:29	ga_ls8c_ard_3-0-0_092075_2013-12-29_final
2014-07-16 09:31:55	ga_ls8c_ard_3-0-0_093067_2014-07-16_final
2014-07-16 09:32:19	ga_ls8c_ard_3-0-0_093068_2014-07-16_final
2014-07-18 09:22:21	ga_ls8c_ard_3-0-0_091074_2014-07-17_final
2014-07-18 09:22:45	ga_ls8c_ard_3-0-0_091075_2014-07-17_final
2014-07-18 09:23:09	ga_ls8c_ard_3-0-0_091076_2014-07-17_final
2014-07-18 09:23:33	ga_ls8c_ard_3-0-0_091077_2014-07-17_final
2014-07-18 09:23:57	ga_ls8c_ard_3-0-0_091078_2014-07-17_final
2014-07-18 09:24:21	ga_ls8c_ard_3-0-0_091079_2014-07-17_final
2014-07-18 09:24:45	ga_ls8c_ard_3-0-0_091080_2014-07-17_final
2014-09-02 09:32:09	ga_ls8c_ard_3-0-0_093067_2014-09-02_final
2014-09-02 09:32:33	ga_ls8c_ard_3-0-0_093068_2014-09-02_final
2014-09-04 09:22:36	ga_ls8c_ard_3-0-0_091074_2014-09-03_final
2014-09-04 09:23:00	ga_ls8c_ard_3-0-0_091075_2014-09-03_final
2014-09-04 09:23:24	ga_ls8c_ard_3-0-0_091076_2014-09-03_final
2014-09-04 09:23:48	ga_ls8c_ard_3-0-0_091077_2014-09-03_final
2014-09-04 09:24:12	ga_ls8c_ard_3-0-0_091078_2014-09-03_final
2014-09-04 09:24:36	ga_ls8c_ard_3-0-0_091079_2014-09-03_final
2014-09-04 09:25:00	ga_ls8c_ard_3-0-0_091080_2014-09-03_final
2014-09-29 09:18:26	ga_ls8c_ard_3-0-0_090079_2014-09-28_final
2014-09-29 09:18:50	ga_ls8c_ard_3-0-0_090080_2014-09-28_final
2014-09-29 09:19:14	ga_ls8c_ard_3-0-0_090081_2014-09-28_final
2014-09-29 09:19:38	ga_ls8c_ard_3-0-0_090082_2014-09-28_final
2014-09-29 09:20:01	ga_ls8c_ard_3-0-0_090083_2014-09-28_final
2014-09-29 09:20:25	ga_ls8c_ard_3-0-0_090084_2014-09-28_final
2014-10-04 09:32:14	ga_ls8c_ard_3-0-0_093067_2014-10-04_final
2014-10-04 09:32:38	ga_ls8c_ard_3-0-0_093068_2014-10-04_final
2014-10-20 09:32:17	ga_ls8c_ard_3-0-0_093067_2014-10-20_final
2014-10-20 09:32:41	ga_ls8c_ard_3-0-0_093068_2014-10-20_final
2016-06-07 09:13:24	ga_ls8c_ard_3-0-0_089083_2016-06-06_final
2016-06-07 09:13:48	ga_ls8c_ard_3-0-0_089084_2016-06-06_final
2016-06-07 09:14:12	ga_ls8c_ard_3-0-0_089085_2016-06-06_final
2016-06-07 09:14:36	ga_ls8c_ard_3-0-0_089086_2016-06-06_final
2016-06-07 09:15:00	ga_ls8c_ard_3-0-0_089087_2016-06-06_final
2016-06-07 09:15:23	ga_ls8c_ard_3-0-0_089088_2016-06-06_final
2016-06-28 09:27:17	ga_ls8c_ard_3-0-0_092071_2016-06-27_final
2016-06-28 09:27:41	ga_ls8c_ard_3-0-0_092072_2016-06-27_final
2016-06-28 09:28:05	ga_ls8c_ard_3-0-0_092073_2016-06-27_final
2016-06-28 09:28:29	ga_ls8c_ard_3-0-0_092074_2016-06-27_final
2016-06-28 09:28:53	ga_ls8c_ard_3-0-0_092075_2016-06-27_final
2016-07-07 09:22:23	ga_ls8c_ard_3-0-0_091074_2016-07-06_final
2016-07-07 09:22:46	ga_ls8c_ard_3-0-0_091075_2016-07-06_final
2016-07-07 09:23:10	ga_ls8c_ard_3-0-0_091076_2016-07-06_final
2016-07-07 09:23:34	ga_ls8c_ard_3-0-0_091077_2016-07-06_final
2016-07-07 09:23:58	ga_ls8c_ard_3-0-0_091078_2016-07-06_final
2016-07-07 09:24:22	ga_ls8c_ard_3-0-0_091079_2016-07-06_final
2016-07-07 09:24:46	ga_ls8c_ard_3-0-0_091080_2016-07-06_final
2016-07-09 09:13:37	ga_ls8c_ard_3-0-0_089083_2016-07-08_final
2016-07-09 09:14:01	ga_ls8c_ard_3-0-0_089084_2016-07-08_final
2016-07-09 09:14:25	ga_ls8c_ard_3-0-0_089085_2016-07-08_final
2016-07-09 09:14:49	ga_ls8c_ard_3-0-0_089086_2016-07-08_final
2016-07-09 09:15:13	ga_ls8c_ard_3-0-0_089087_2016-07-08_final
2016-07-09 09:15:37	ga_ls8c_ard_3-0-0_089088_2016-07-08_final
2018-09-17 09:13:20	ga_ls8c_ard_3-0-0_089083_2018-09-16_final
2018-09-17 09:13:44	ga_ls8c_ard_3-0-0_089084_2018-09-16_final
2018-09-17 09:14:08	ga_ls8c_ard_3-0-0_089085_2018-09-16_final
2018-09-17 09:14:32	ga_ls8c_ard_3-0-0_089086_2018-09-16_final
2018-09-17 09:14:56	ga_ls8c_ard_3-0-0_089087_2018-09-16_final
2018-09-17 09:15:20	ga_ls8c_ard_3-0-0_089088_2018-09-16_final
2018-11-16 09:31:59	ga_ls8c_ard_3-0-0_093067_2018-11-16_final
2018-11-16 09:32:23	ga_ls8c_ard_3-0-0_093068_2018-11-16_final
2018-11-20 09:13:39	ga_ls8c_ard_3-0-0_089083_2018-11-19_final
2018-11-20 09:14:03	ga_ls8c_ard_3-0-0_089084_2018-11-19_final
2018-11-20 09:14:27	ga_ls8c_ard_3-0-0_089085_2018-11-19_final
2018-11-20 09:14:51	ga_ls8c_ard_3-0-0_089086_2018-11-19_final
2018-11-20 09:15:15	ga_ls8c_ard_3-0-0_089087_2018-11-19_final
2018-11-20 09:15:39	ga_ls8c_ard_3-0-0_089088_2018-11-19_final
2019-01-07 09:13:34	ga_ls8c_ard_3-0-0_089083_2019-01-06_final
2019-01-07 09:13:58	ga_ls8c_ard_3-0-0_089084_2019-01-06_final
2019-01-07 09:14:22	ga_ls8c_ard_3-0-0_089085_2019-01-06_final
2019-01-07 09:14:46	ga_ls8c_ard_3-0-0_089086_2019-01-06_final
2019-01-07 09:15:10	ga_ls8c_ard_3-0-0_089087_2019-01-06_final
2019-01-07 09:15:34	ga_ls8c_ard_3-0-0_089088_2019-01-06_final
2023-12-04 09:13:51	ga_ls8c_ard_3-2-1_089083_2023-12-03_final
2023-12-04 09:14:15	ga_ls8c_ard_3-2-1_089084_2023-12-03_final
2023-12-04 09:14:39	ga_ls8c_ard_3-2-1_089085_2023-12-03_final
2023-12-04 09:15:03	ga_ls8c_ard_3-2-1_089086_2023-12-03_final
2023-12-04 09:15:51	ga_ls8c_ard_3-2-1_089088_2023-12-03_final
2023-12-11 09:18:26	ga_ls8c_ard_3-2-1_090079_2023-12-10_final
2023-12-11 09:18:50	ga_ls8c_ard_3-2-1_090080_2023-12-10_final
2023-12-11 09:19:14	ga_ls8c_ard_3-2-1_090081_2023-12-10_final
2023-12-11 09:19:38	ga_ls8c_ard_3-2-1_090082_2023-12-10_final
2023-12-11 09:20:02	ga_ls8c_ard_3-2-1_090083_2023-12-10_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