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
2014-07-09 09:27:42	ga_ls8c_ard_3-0-0_092072_2014-07-08_final
2014-07-09 09:28:06	ga_ls8c_ard_3-0-0_092073_2014-07-08_final
2014-07-09 09:28:30	ga_ls8c_ard_3-0-0_092074_2014-07-08_final
2014-07-09 09:28:54	ga_ls8c_ard_3-0-0_092075_2014-07-08_final
2014-07-27 09:18:12	ga_ls8c_ard_3-0-0_090079_2014-07-26_final
2014-07-27 09:18:36	ga_ls8c_ard_3-0-0_090080_2014-07-26_final
2014-07-27 09:19:00	ga_ls8c_ard_3-0-0_090081_2014-07-26_final
2014-07-27 09:19:24	ga_ls8c_ard_3-0-0_090082_2014-07-26_final
2014-07-27 09:19:48	ga_ls8c_ard_3-0-0_090083_2014-07-26_final
2014-07-27 09:20:12	ga_ls8c_ard_3-0-0_090084_2014-07-26_final
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
2014-10-06 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
2014-10-13 09:28:05	ga_ls8c_ard_3-0-0_092072_2014-10-12_final
2014-10-13 09:28:29	ga_ls8c_ard_3-0-0_092073_2014-10-12_final
2014-10-13 09:28:53	ga_ls8c_ard_3-0-0_092074_2014-10-12_final
2014-10-13 09:29:17	ga_ls8c_ard_3-0-0_092075_2014-10-12_final
2014-10-15 09:18:31	ga_ls8c_ard_3-0-0_090079_2014-10-14_final
2014-10-15 09:18:55	ga_ls8c_ard_3-0-0_090080_2014-10-14_final
2014-10-15 09:19:19	ga_ls8c_ard_3-0-0_090081_2014-10-14_final
2014-10-15 09:19:43	ga_ls8c_ard_3-0-0_090082_2014-10-14_final
2014-10-15 09:20:07	ga_ls8c_ard_3-0-0_090083_2014-10-14_final
2014-11-14 09:28:05	ga_ls8c_ard_3-0-0_092072_2014-11-13_final
2014-11-14 09:28:29	ga_ls8c_ard_3-0-0_092073_2014-11-13_final
2014-11-14 09:28:53	ga_ls8c_ard_3-0-0_092074_2014-11-13_final
2014-11-14 09:29:17	ga_ls8c_ard_3-0-0_092075_2014-11-13_final
2014-11-16 09:18:30	ga_ls8c_ard_3-0-0_090079_2014-11-15_final
2014-11-16 09:18:54	ga_ls8c_ard_3-0-0_090080_2014-11-15_final
2014-11-16 09:19:18	ga_ls8c_ard_3-0-0_090081_2014-11-15_final
2014-11-16 09:19:42	ga_ls8c_ard_3-0-0_090082_2014-11-15_final
2014-11-16 09:20:06	ga_ls8c_ard_3-0-0_090083_2014-11-15_final
2014-11-16 09:20:30	ga_ls8c_ard_3-0-0_090084_2014-11-15_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
2014-12-07 09:32:12	ga_ls8c_ard_3-0-0_093067_2014-12-07_final
2014-12-07 09:32:35	ga_ls8c_ard_3-1-0_093068_2014-12-07_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
2015-01-03 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
2018-03-16 09:17:51	ga_ls8c_ard_3-0-0_090079_2018-03-15_final
2018-03-16 09:18:15	ga_ls8c_ard_3-0-0_090080_2018-03-15_final
2018-03-16 09:18:39	ga_ls8c_ard_3-0-0_090081_2018-03-15_final
2018-03-16 09:19:03	ga_ls8c_ard_3-0-0_090082_2018-03-15_final
2018-03-16 09:19:27	ga_ls8c_ard_3-0-0_090083_2018-03-15_final
2018-03-16 09:19:51	ga_ls8c_ard_3-0-0_090084_2018-03-15_final
2018-03-21 09:31:35	ga_ls8c_ard_3-0-0_093067_2018-03-21_final
2018-03-21 09:31:59	ga_ls8c_ard_3-0-0_093068_2018-03-21_final
2018-07-11 09:31:11	ga_ls8c_ard_3-0-0_093067_2018-07-11_final
2018-07-11 09:31:35	ga_ls8c_ard_3-0-0_093068_2018-07-11_final
2018-08-05 09:26:48	ga_ls8c_ard_3-0-0_092071_2018-08-04_final
2018-08-05 09:27:12	ga_ls8c_ard_3-0-0_092072_2018-08-04_final
2018-08-05 09:27:36	ga_ls8c_ard_3-0-0_092073_2018-08-04_final
2018-08-05 09:28:00	ga_ls8c_ard_3-0-0_092074_2018-08-04_final
2018-08-05 09:28:24	ga_ls8c_ard_3-0-0_092075_2018-08-04_final
2018-08-14 09:21:54	ga_ls8c_ard_3-0-0_091074_2018-08-13_final
2018-08-14 09:22:18	ga_ls8c_ard_3-0-0_091075_2018-08-13_final
2018-08-14 09:22:42	ga_ls8c_ard_3-0-0_091076_2018-08-13_final
2018-08-14 09:23:06	ga_ls8c_ard_3-0-0_091077_2018-08-13_final
2018-08-14 09:23:30	ga_ls8c_ard_3-0-0_091078_2018-08-13_final
2018-08-14 09:23:54	ga_ls8c_ard_3-0-0_091079_2018-08-13_final
2018-08-14 09:24:18	ga_ls8c_ard_3-0-0_091080_2018-08-13_final
2018-09-13 09:31:40	ga_ls8c_ard_3-0-0_093067_2018-09-13_final
2018-09-13 09:32:04	ga_ls8c_ard_3-0-0_093068_2018-09-13_final
2018-09-22 09:27:07	ga_ls8c_ard_3-0-0_092071_2018-09-21_final
2018-09-22 09:27:31	ga_ls8c_ard_3-0-0_092072_2018-09-21_final
2018-09-22 09:27:55	ga_ls8c_ard_3-0-0_092073_2018-09-21_final
2018-09-22 09:28:19	ga_ls8c_ard_3-0-0_092074_2018-09-21_final
2018-09-22 09:28:43	ga_ls8c_ard_3-0-0_092075_2018-09-21_final
2018-09-24 09:17:58	ga_ls8c_ard_3-0-0_090079_2018-09-23_final
2018-09-24 09:18:22	ga_ls8c_ard_3-0-0_090080_2018-09-23_final
2018-09-24 09:18:46	ga_ls8c_ard_3-0-0_090081_2018-09-23_final
2018-09-24 09:19:10	ga_ls8c_ard_3-0-0_090082_2018-09-23_final
2018-09-24 09:19:34	ga_ls8c_ard_3-0-0_090083_2018-09-23_final
2018-09-24 09:19:58	ga_ls8c_ard_3-0-0_090084_2018-09-23_final
2018-10-26 09:18:11	ga_ls8c_ard_3-0-0_090079_2018-10-25_final
2018-10-26 09:18:35	ga_ls8c_ard_3-0-0_090080_2018-10-25_final
2018-10-26 09:18:59	ga_ls8c_ard_3-0-0_090081_2018-10-25_final
2018-10-26 09:19:23	ga_ls8c_ard_3-0-0_090082_2018-10-25_final
2018-10-26 09:19:47	ga_ls8c_ard_3-0-0_090083_2018-10-25_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