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
2014-08-10 09:27:54	ga_ls8c_ard_3-0-0_092072_2014-08-09_final
2014-08-10 09:28:18	ga_ls8c_ard_3-0-0_092073_2014-08-09_final
2014-08-10 09:28:42	ga_ls8c_ard_3-0-0_092074_2014-08-09_final
2014-08-10 09:29:06	ga_ls8c_ard_3-0-0_092075_2014-08-09_final
2014-08-12 09:18:21	ga_ls8c_ard_3-0-0_090079_2014-08-11_final
2014-08-12 09:18:45	ga_ls8c_ard_3-0-0_090080_2014-08-11_final
2014-08-12 09:19:09	ga_ls8c_ard_3-0-0_090081_2014-08-11_final
2014-08-12 09:19:33	ga_ls8c_ard_3-0-0_090082_2014-08-11_final
2014-08-12 09:19:57	ga_ls8c_ard_3-0-0_090083_2014-08-11_final
2014-08-12 09:20:20	ga_ls8c_ard_3-0-0_090084_2014-08-11_final
2014-08-26 09:27:56	ga_ls8c_ard_3-0-0_092072_2014-08-25_final
2014-08-26 09:28:20	ga_ls8c_ard_3-0-0_092073_2014-08-25_final
2014-08-26 09:28:44	ga_ls8c_ard_3-0-0_092074_2014-08-25_final
2014-08-26 09:29:08	ga_ls8c_ard_3-0-0_092075_2014-08-25_final
2014-08-28 09:18:22	ga_ls8c_ard_3-0-0_090079_2014-08-27_final
2014-08-28 09:18:46	ga_ls8c_ard_3-0-0_090080_2014-08-27_final
2014-08-28 09:19:10	ga_ls8c_ard_3-0-0_090081_2014-08-27_final
2014-08-28 09:19:34	ga_ls8c_ard_3-0-0_090082_2014-08-27_final
2014-08-28 09:19:58	ga_ls8c_ard_3-0-0_090083_2014-08-27_final
2014-08-28 09:20:22	ga_ls8c_ard_3-0-0_090084_2014-08-27_final
2014-09-11 09:28:00	ga_ls8c_ard_3-0-0_092072_2014-09-10_final
2014-09-11 09:28:24	ga_ls8c_ard_3-0-0_092073_2014-09-10_final
2014-09-11 09:28:48	ga_ls8c_ard_3-0-0_092074_2014-09-10_final
2014-09-11 09:29:12	ga_ls8c_ard_3-0-0_092075_2014-09-10_final
2014-09-13 09:18:26	ga_ls8c_ard_3-0-0_090079_2014-09-12_final
2014-09-13 09:18:50	ga_ls8c_ard_3-0-0_090080_2014-09-12_final
2014-09-13 09:19:14	ga_ls8c_ard_3-0-0_090081_2014-09-12_final
2014-09-13 09:19:38	ga_ls8c_ard_3-0-0_090082_2014-09-12_final
2014-09-13 09:20:02	ga_ls8c_ard_3-0-0_090083_2014-09-12_final
2014-09-13 09:20:26	ga_ls8c_ard_3-0-0_090084_2014-09-12_final
2014-10-04 09:33:49	ga_ls8c_ard_3-0-0_093071_2014-10-04_final
2014-10-06 09:22:40	ga_ls8c_ard_3-0-0_091074_2014-10-05_final
2014-10-06 09:23:04	ga_ls8c_ard_3-0-0_091075_2014-10-05_final
2014-10-06 09:23:28	ga_ls8c_ard_3-0-0_091076_2014-10-05_final
2014-10-06 09:23:52	ga_ls8c_ard_3-0-0_091077_2014-10-05_final
2014-10-06 09:24:16	ga_ls8c_ard_3-0-0_091078_2014-10-05_final
2014-10-06 09:24:40	ga_ls8c_ard_3-0-0_091079_2014-10-05_final
2014-10-06 09:25:04	ga_ls8c_ard_3-0-0_091080_2014-10-05_final
2014-11-21 09:32:12	ga_ls8c_ard_3-0-0_093067_2014-11-21_final
2014-11-21 09:32:36	ga_ls8c_ard_3-0-0_093068_2014-11-21_final
2014-11-21 09:33:47	ga_ls8c_ard_3-0-0_093071_2014-11-21_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
2014-11-23 09:23:51	ga_ls8c_ard_3-0-0_091077_2014-11-22_final
2014-11-23 09:24:15	ga_ls8c_ard_3-0-0_091078_2014-11-22_final
2014-11-23 09:24:39	ga_ls8c_ard_3-0-0_091079_2014-11-22_final
2014-11-23 09:25:03	ga_ls8c_ard_3-0-0_091080_2014-11-22_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
2014-11-25 09:15:06	ga_ls8c_ard_3-0-0_089086_2014-11-24_final
2015-01-01 09:27:53	ga_ls8c_ard_3-0-0_092072_2014-12-31_final
2015-01-01 09:28:17	ga_ls8c_ard_3-0-0_092073_2014-12-31_final
2015-01-01 09:28:41	ga_ls8c_ard_3-0-0_092074_2014-12-31_final
2015-01-01 09:29:05	ga_ls8c_ard_3-0-0_092075_2014-12-31_final
2015-01-01 09:29:29	ga_ls8c_ard_3-0-0_092076_2014-12-31_final
2015-01-03 09:18:20	ga_ls8c_ard_3-0-0_090079_2015-01-02_final
2015-01-03 09:18:44	ga_ls8c_ard_3-0-0_090080_2015-01-02_final
2015-01-03 09:19:08	ga_ls8c_ard_3-0-0_090081_2015-01-02_final
2015-01-03 09:19:32	ga_ls8c_ard_3-0-0_090082_2015-01-02_final
2015-01-03 09:19:56	ga_ls8c_ard_3-0-0_090083_2015-01-02_final
2015-01-03 09:20:19	ga_ls8c_ard_3-0-0_090084_2015-01-02_final
2015-01-24 09:33:35	ga_ls8c_ard_3-0-0_093071_2015-01-24_final
2015-01-26 09:22:26	ga_ls8c_ard_3-0-0_091074_2015-01-25_final
2015-01-26 09:22:50	ga_ls8c_ard_3-0-0_091075_2015-01-25_final
2015-01-26 09:23:14	ga_ls8c_ard_3-0-0_091076_2015-01-25_final
2015-01-26 09:23:38	ga_ls8c_ard_3-0-0_091077_2015-01-25_final
2015-01-26 09:24:02	ga_ls8c_ard_3-0-0_091078_2015-01-25_final
2015-01-26 09:24:26	ga_ls8c_ard_3-0-0_091079_2015-01-25_final
2015-01-26 09:24:49	ga_ls8c_ard_3-0-0_091080_2015-01-25_final
2015-01-28 09:13:40	ga_ls8c_ard_3-0-0_089083_2015-01-27_final
2015-01-28 09:14:04	ga_ls8c_ard_3-0-0_089084_2015-01-27_final
2015-01-28 09:14:28	ga_ls8c_ard_3-0-0_089085_2015-01-27_final
2015-01-28 09:14:52	ga_ls8c_ard_3-0-0_089086_2015-01-27_final
2015-06-01 09:31:10	ga_ls8c_ard_3-0-0_093067_2015-06-01_final
2015-06-01 09:31:34	ga_ls8c_ard_3-0-0_093068_2015-06-01_final
2021-05-09 09:26:58	ga_ls8c_ard_3-2-0_092071_2021-05-08_final
2021-05-09 09:27:22	ga_ls8c_ard_3-2-0_092072_2021-05-08_final
2021-05-09 09:27:46	ga_ls8c_ard_3-2-0_092073_2021-05-08_final
2021-05-09 09:28:10	ga_ls8c_ard_3-2-0_092074_2021-05-08_final
2021-05-09 09:28:34	ga_ls8c_ard_3-2-0_092075_2021-05-08_final
2021-05-11 09:17:50	ga_ls8c_ard_3-2-0_090079_2021-05-10_final
2021-08-29 09:27:40	ga_ls8c_ard_3-2-0_092071_2021-08-28_final
2021-08-29 09:28:04	ga_ls8c_ard_3-2-0_092072_2021-08-28_final
2021-08-29 09:28:28	ga_ls8c_ard_3-2-0_092073_2021-08-28_final
2021-08-29 09:28:52	ga_ls8c_ard_3-2-0_092074_2021-08-28_final
2021-08-29 09:29:16	ga_ls8c_ard_3-2-0_092075_2021-08-28_final
2021-10-25 09:22:55	ga_ls8c_ard_3-2-0_091074_2021-10-24_final
2021-10-25 09:23:19	ga_ls8c_ard_3-2-0_091075_2021-10-24_final
2021-10-25 09:23:43	ga_ls8c_ard_3-2-0_091076_2021-10-24_final
2021-10-25 09:24:07	ga_ls8c_ard_3-2-0_091077_2021-10-24_final
2021-10-25 09:24:31	ga_ls8c_ard_3-2-0_091078_2021-10-24_final
2021-10-25 09:24:55	ga_ls8c_ard_3-2-0_091079_2021-10-24_final
2021-10-25 09:25:18	ga_ls8c_ard_3-2-0_091080_2021-10-24_final
2021-10-27 09:14:09	ga_ls8c_ard_3-2-0_089083_2021-10-26_final
2021-10-27 09:14:33	ga_ls8c_ard_3-2-0_089084_2021-10-26_final
2021-10-27 09:14:57	ga_ls8c_ard_3-2-0_089085_2021-10-26_final
2021-10-27 09:15:21	ga_ls8c_ard_3-2-0_089086_2021-10-26_final
2021-10-27 09:15:44	ga_ls8c_ard_3-2-0_089087_2021-10-26_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years