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:

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First 100 results (query limit)

Time (local)	Label
2015-12-14 09:13:02	ga_ls8c_ard_3-0-0_089081_2015-12-13_final
2015-12-14 09:13:26	ga_ls8c_ard_3-0-0_089082_2015-12-13_final
2015-12-14 09:13:50	ga_ls8c_ard_3-0-0_089083_2015-12-13_final
2015-12-14 09:14:14	ga_ls8c_ard_3-0-0_089084_2015-12-13_final
2015-12-14 09:14:38	ga_ls8c_ard_3-0-0_089085_2015-12-13_final
2015-12-14 09:15:02	ga_ls8c_ard_3-0-0_089086_2015-12-13_final
2016-01-27 09:32:07	ga_ls8c_ard_3-0-0_093067_2016-01-27_final
2016-01-27 09:32:31	ga_ls8c_ard_3-0-0_093068_2016-01-27_final
2016-01-31 09:12:58	ga_ls8c_ard_3-0-0_089081_2016-01-30_final
2016-01-31 09:13:22	ga_ls8c_ard_3-0-0_089082_2016-01-30_final
2016-01-31 09:13:46	ga_ls8c_ard_3-0-0_089083_2016-01-30_final
2016-01-31 09:14:10	ga_ls8c_ard_3-0-0_089084_2016-01-30_final
2016-01-31 09:14:34	ga_ls8c_ard_3-0-0_089085_2016-01-30_final
2016-01-31 09:14:58	ga_ls8c_ard_3-0-0_089086_2016-01-30_final
2016-03-03 09:12:48	ga_ls8c_ard_3-0-0_089081_2016-03-02_final
2016-03-03 09:13:12	ga_ls8c_ard_3-0-0_089082_2016-03-02_final
2016-03-03 09:13:36	ga_ls8c_ard_3-0-0_089083_2016-03-02_final
2016-03-03 09:14:00	ga_ls8c_ard_3-0-0_089084_2016-03-02_final
2016-03-03 09:14:24	ga_ls8c_ard_3-0-0_089085_2016-03-02_final
2016-03-03 09:14:48	ga_ls8c_ard_3-0-0_089086_2016-03-02_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
2016-03-08 09:27:44	ga_ls8c_ard_3-0-0_092072_2016-03-07_final
2016-03-08 09:28:08	ga_ls8c_ard_3-0-0_092073_2016-03-07_final
2016-03-19 09:12:43	ga_ls8c_ard_3-0-0_089081_2016-03-18_final
2016-03-19 09:13:07	ga_ls8c_ard_3-0-0_089082_2016-03-18_final
2016-03-19 09:13:31	ga_ls8c_ard_3-0-0_089083_2016-03-18_final
2016-03-19 09:13:54	ga_ls8c_ard_3-0-0_089084_2016-03-18_final
2016-04-09 09:25:53	ga_ls8c_ard_3-0-0_092068_2016-04-08_final
2016-04-09 09:27:05	ga_ls8c_ard_3-0-0_092071_2016-04-08_final
2016-04-09 09:27:29	ga_ls8c_ard_3-0-0_092072_2016-04-08_final
2016-04-09 09:27:53	ga_ls8c_ard_3-0-0_092073_2016-04-08_final
2019-07-07 09:26:11	ga_ls8c_ard_3-1-0_092068_2019-07-06_final
2019-07-07 09:27:23	ga_ls8c_ard_3-1-0_092071_2019-07-06_final
2019-07-07 09:27:47	ga_ls8c_ard_3-1-0_092072_2019-07-06_final
2019-07-07 09:28:11	ga_ls8c_ard_3-1-0_092073_2019-07-06_final
2019-07-14 09:31:59	ga_ls8c_ard_3-1-0_093067_2019-07-14_final
2019-07-14 09:32:23	ga_ls8c_ard_3-1-0_093068_2019-07-14_final
2019-08-17 09:21:50	ga_ls8c_ard_3-1-0_091072_2019-08-16_final
2019-08-17 09:22:13	ga_ls8c_ard_3-1-0_091073_2019-08-16_final
2019-08-17 09:22:37	ga_ls8c_ard_3-1-0_091074_2019-08-16_final
2019-08-17 09:23:01	ga_ls8c_ard_3-1-0_091075_2019-08-16_final
2019-08-17 09:23:25	ga_ls8c_ard_3-1-0_091076_2019-08-16_final
2019-08-17 09:23:49	ga_ls8c_ard_3-1-0_091077_2019-08-16_final
2019-08-17 09:24:13	ga_ls8c_ard_3-1-0_091078_2019-08-16_final
2019-08-19 09:13:04	ga_ls8c_ard_3-1-0_089081_2019-08-18_final
2019-08-19 09:13:28	ga_ls8c_ard_3-1-0_089082_2019-08-18_final
2019-08-19 09:13:52	ga_ls8c_ard_3-1-0_089083_2019-08-18_final
2019-08-19 09:14:16	ga_ls8c_ard_3-1-0_089084_2019-08-18_final
2019-08-19 09:14:40	ga_ls8c_ard_3-1-0_089085_2019-08-18_final
2019-08-19 09:15:04	ga_ls8c_ard_3-1-0_089086_2019-08-18_final
2019-08-24 09:26:26	ga_ls8c_ard_3-1-0_092068_2019-08-23_final
2019-08-24 09:27:38	ga_ls8c_ard_3-1-0_092071_2019-08-23_final
2019-08-24 09:28:02	ga_ls8c_ard_3-1-0_092072_2019-08-23_final
2019-08-24 09:28:26	ga_ls8c_ard_3-1-0_092073_2019-08-23_final
2019-10-04 09:22:03	ga_ls8c_ard_3-1-0_091072_2019-10-03_final
2019-10-04 09:22:27	ga_ls8c_ard_3-1-0_091073_2019-10-03_final
2019-10-04 09:22:51	ga_ls8c_ard_3-1-0_091074_2019-10-03_final
2019-10-04 09:23:15	ga_ls8c_ard_3-1-0_091075_2019-10-03_final
2019-10-04 09:23:39	ga_ls8c_ard_3-1-0_091076_2019-10-03_final
2019-10-04 09:24:02	ga_ls8c_ard_3-1-0_091077_2019-10-03_final
2019-10-04 09:24:26	ga_ls8c_ard_3-1-0_091078_2019-10-03_final
2019-10-20 09:22:05	ga_ls8c_ard_3-1-0_091072_2019-10-19_final
2019-10-20 09:22:29	ga_ls8c_ard_3-1-0_091073_2019-10-19_final
2019-10-20 09:22:53	ga_ls8c_ard_3-1-0_091074_2019-10-19_final
2019-10-20 09:23:16	ga_ls8c_ard_3-1-0_091075_2019-10-19_final
2019-10-20 09:23:40	ga_ls8c_ard_3-1-0_091076_2019-10-19_final
2019-10-20 09:24:04	ga_ls8c_ard_3-1-0_091077_2019-10-19_final
2019-10-20 09:24:28	ga_ls8c_ard_3-1-0_091078_2019-10-19_final
2019-10-22 09:13:19	ga_ls8c_ard_3-1-0_089081_2019-10-21_final
2019-10-22 09:13:43	ga_ls8c_ard_3-1-0_089082_2019-10-21_final
2019-10-22 09:14:06	ga_ls8c_ard_3-1-0_089083_2019-10-21_final
2019-10-22 09:14:30	ga_ls8c_ard_3-1-0_089084_2019-10-21_final
2019-10-22 09:14:54	ga_ls8c_ard_3-1-0_089085_2019-10-21_final
2019-10-22 09:15:18	ga_ls8c_ard_3-1-0_089086_2019-10-21_final
2019-11-12 09:26:38	ga_ls8c_ard_3-1-0_092068_2019-11-11_final
2019-11-12 09:27:49	ga_ls8c_ard_3-1-0_092071_2019-11-11_final
2019-11-12 09:28:13	ga_ls8c_ard_3-1-0_092072_2019-11-11_final
2019-11-12 09:28:37	ga_ls8c_ard_3-1-0_092073_2019-11-11_final
2019-11-19 09:32:23	ga_ls8c_ard_3-1-0_093067_2019-11-19_final
2019-11-19 09:32:47	ga_ls8c_ard_3-1-0_093068_2019-11-19_final
2019-11-21 09:22:24	ga_ls8c_ard_3-1-0_091073_2019-11-20_final
2019-11-21 09:22:48	ga_ls8c_ard_3-1-0_091074_2019-11-20_final
2019-11-21 09:23:12	ga_ls8c_ard_3-1-0_091075_2019-11-20_final
2019-11-21 09:23:36	ga_ls8c_ard_3-1-0_091076_2019-11-20_final
2019-11-21 09:24:00	ga_ls8c_ard_3-1-0_091077_2019-11-20_final
2019-11-21 09:24:24	ga_ls8c_ard_3-1-0_091078_2019-11-20_final
2020-06-23 09:25:59	ga_ls8c_ard_3-1-0_092068_2020-06-22_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
2020-08-01 09:32:00	ga_ls8c_ard_3-1-0_093067_2020-08-01_final
2020-08-01 09:32:24	ga_ls8c_ard_3-1-0_093068_2020-08-01_final
2020-08-10 09:26:14	ga_ls8c_ard_3-1-0_092068_2020-08-09_final
2020-08-10 09:27:26	ga_ls8c_ard_3-1-0_092071_2020-08-09_final
2020-08-10 09:27:50	ga_ls8c_ard_3-1-0_092072_2020-08-09_final
2020-08-10 09:28:14	ga_ls8c_ard_3-1-0_092073_2020-08-09_final
2020-08-26 09:26:22	ga_ls8c_ard_3-1-0_092068_2020-08-25_final
2020-08-26 09:27:34	ga_ls8c_ard_3-1-0_092071_2020-08-25_final
2020-08-26 09:27:58	ga_ls8c_ard_3-1-0_092072_2020-08-25_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