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
2014-10-09 09:50:47	ga_ls8c_ard_3-0-0_096067_2014-10-09_final
2014-10-11 09:40:50	ga_ls8c_ard_3-0-0_094073_2014-10-11_final
2014-10-11 09:41:14	ga_ls8c_ard_3-0-0_094074_2014-10-11_final
2014-10-11 09:41:38	ga_ls8c_ard_3-0-0_094075_2014-10-11_final
2014-10-11 09:42:01	ga_ls8c_ard_3-0-0_094076_2014-10-11_final
2014-10-11 09:42:25	ga_ls8c_ard_3-0-0_094077_2014-10-11_final
2014-10-11 09:42:49	ga_ls8c_ard_3-0-0_094078_2014-10-11_final
2014-10-11 09:43:13	ga_ls8c_ard_3-0-0_094079_2014-10-11_final
2014-12-14 09:40:43	ga_ls8c_ard_3-0-0_094073_2014-12-14_final
2014-12-14 09:41:07	ga_ls8c_ard_3-0-0_094074_2014-12-14_final
2014-12-14 09:41:31	ga_ls8c_ard_3-0-0_094075_2014-12-14_final
2014-12-14 09:41:55	ga_ls8c_ard_3-0-0_094076_2014-12-14_final
2014-12-14 09:42:19	ga_ls8c_ard_3-0-0_094077_2014-12-14_final
2014-12-14 09:42:43	ga_ls8c_ard_3-0-0_094078_2014-12-14_final
2014-12-14 09:43:07	ga_ls8c_ard_3-0-0_094079_2014-12-14_final
2014-12-16 09:31:58	ga_ls8c_ard_3-0-0_092082_2014-12-16_final
2014-12-16 09:32:22	ga_ls8c_ard_3-0-0_092083_2014-12-16_final
2014-12-16 09:32:46	ga_ls8c_ard_3-0-0_092084_2014-12-16_final
2014-12-16 09:33:10	ga_ls8c_ard_3-0-0_092085_2014-12-16_final
2014-12-16 09:33:34	ga_ls8c_ard_3-0-0_092086_2014-12-16_final
2014-12-16 09:33:58	ga_ls8c_ard_3-0-0_092087_2014-12-16_final
2014-12-18 09:22:25	ga_ls8c_ard_3-0-0_090089_2014-12-17_final
2014-12-18 09:22:48	ga_ls8c_ard_3-0-0_090090_2014-12-17_final
2015-01-15 09:40:39	ga_ls8c_ard_3-0-0_094073_2015-01-15_final
2015-01-15 09:41:03	ga_ls8c_ard_3-0-0_094074_2015-01-15_final
2015-01-15 09:41:27	ga_ls8c_ard_3-0-0_094075_2015-01-15_final
2015-01-15 09:41:51	ga_ls8c_ard_3-0-0_094076_2015-01-15_final
2015-01-15 09:42:15	ga_ls8c_ard_3-0-0_094077_2015-01-15_final
2015-01-15 09:42:39	ga_ls8c_ard_3-0-0_094078_2015-01-15_final
2015-01-15 09:43:03	ga_ls8c_ard_3-0-0_094079_2015-01-15_final
2015-02-16 09:40:26	ga_ls8c_ard_3-0-0_094073_2015-02-16_final
2015-02-16 09:40:50	ga_ls8c_ard_3-0-0_094074_2015-02-16_final
2015-02-16 09:41:14	ga_ls8c_ard_3-0-0_094075_2015-02-16_final
2015-02-16 09:41:38	ga_ls8c_ard_3-0-0_094076_2015-02-16_final
2015-02-16 09:42:01	ga_ls8c_ard_3-0-0_094077_2015-02-16_final
2015-02-16 09:42:25	ga_ls8c_ard_3-0-0_094078_2015-02-16_final
2015-02-16 09:42:49	ga_ls8c_ard_3-0-0_094079_2015-02-16_final
2015-02-18 09:31:40	ga_ls8c_ard_3-0-0_092082_2015-02-18_final
2015-02-18 09:32:04	ga_ls8c_ard_3-0-0_092083_2015-02-18_final
2015-02-18 09:32:28	ga_ls8c_ard_3-0-0_092084_2015-02-18_final
2015-02-18 09:32:52	ga_ls8c_ard_3-0-0_092085_2015-02-18_final
2015-02-18 09:33:16	ga_ls8c_ard_3-0-0_092086_2015-02-18_final
2015-02-18 09:33:40	ga_ls8c_ard_3-0-0_092087_2015-02-18_final
2015-02-20 09:22:06	ga_ls8c_ard_3-0-0_090089_2015-02-19_final
2015-02-20 09:22:30	ga_ls8c_ard_3-0-0_090090_2015-02-19_final
2015-04-05 09:40:00	ga_ls8c_ard_3-0-0_094073_2015-04-05_final
2015-04-05 09:40:24	ga_ls8c_ard_3-0-0_094074_2015-04-05_final
2015-04-05 09:40:48	ga_ls8c_ard_3-0-0_094075_2015-04-05_final
2015-04-05 09:41:12	ga_ls8c_ard_3-0-0_094076_2015-04-05_final
2015-04-05 09:41:36	ga_ls8c_ard_3-0-0_094077_2015-04-05_final
2015-04-05 09:42:00	ga_ls8c_ard_3-0-0_094078_2015-04-05_final
2015-04-05 09:42:23	ga_ls8c_ard_3-0-0_094079_2015-04-05_final
2015-05-07 09:39:44	ga_ls8c_ard_3-0-0_094073_2015-05-07_final
2015-05-07 09:40:08	ga_ls8c_ard_3-0-0_094074_2015-05-07_final
2015-05-07 09:40:32	ga_ls8c_ard_3-0-0_094075_2015-05-07_final
2015-05-07 09:40:56	ga_ls8c_ard_3-0-0_094076_2015-05-07_final
2015-05-07 09:41:20	ga_ls8c_ard_3-0-0_094077_2015-05-07_final
2015-05-07 09:41:44	ga_ls8c_ard_3-0-0_094078_2015-05-07_final
2015-05-07 09:42:08	ga_ls8c_ard_3-0-0_094079_2015-05-07_final
2017-07-06 09:45:24	ga_ls8c_ard_3-0-0_095070_2017-07-06_final
2017-07-06 09:45:48	ga_ls8c_ard_3-0-0_095071_2017-07-06_final
2017-07-06 09:46:12	ga_ls8c_ard_3-0-0_095072_2017-07-06_final
2017-07-06 09:46:36	ga_ls8c_ard_3-0-0_095073_2017-07-06_final
2017-07-06 09:47:00	ga_ls8c_ard_3-0-0_095074_2017-07-06_final
2017-07-08 09:36:14	ga_ls8c_ard_3-0-0_093078_2017-07-08_final
2017-07-08 09:36:38	ga_ls8c_ard_3-0-0_093079_2017-07-08_final
2017-07-08 09:37:02	ga_ls8c_ard_3-0-0_093080_2017-07-08_final
2017-07-08 09:37:26	ga_ls8c_ard_3-0-0_093081_2017-07-08_final
2017-07-08 09:37:50	ga_ls8c_ard_3-0-0_093082_2017-07-08_final
2017-07-08 09:38:14	ga_ls8c_ard_3-0-0_093083_2017-07-08_final
2017-07-15 09:40:27	ga_ls8c_ard_3-0-0_094073_2017-07-15_final
2017-07-15 09:40:50	ga_ls8c_ard_3-0-0_094074_2017-07-15_final
2017-07-15 09:41:14	ga_ls8c_ard_3-0-0_094075_2017-07-15_final
2017-07-15 09:41:38	ga_ls8c_ard_3-0-0_094076_2017-07-15_final
2017-07-15 09:42:02	ga_ls8c_ard_3-0-0_094077_2017-07-15_final
2017-07-15 09:42:26	ga_ls8c_ard_3-0-0_094078_2017-07-15_final
2017-07-15 09:42:50	ga_ls8c_ard_3-0-0_094079_2017-07-15_final
2018-04-24 09:26:06	ga_ls8c_ard_3-0-0_091085_2018-04-23_final
2018-04-24 09:26:30	ga_ls8c_ard_3-0-0_091086_2018-04-23_final
2018-04-24 09:26:54	ga_ls8c_ard_3-0-0_091087_2018-04-23_final
2018-04-24 09:27:18	ga_ls8c_ard_3-0-0_091088_2018-04-23_final
2018-04-24 09:27:42	ga_ls8c_ard_3-1-0_091089_2018-04-23_final
2018-04-24 09:28:06	ga_ls8c_ard_3-0-0_091090_2018-04-23_final
2018-05-13 09:49:38	ga_ls8c_ard_3-0-0_096067_2018-05-13_final
2018-05-13 09:50:02	ga_ls8c_ard_3-0-0_096068_2018-05-13_final
2018-05-13 09:50:26	ga_ls8c_ard_3-0-0_096069_2018-05-13_final
2018-06-30 09:49:38	ga_ls8c_ard_3-0-0_096067_2018-06-30_final
2018-06-30 09:50:02	ga_ls8c_ard_3-0-0_096068_2018-06-30_final
2018-06-30 09:50:26	ga_ls8c_ard_3-0-0_096069_2018-06-30_final
2018-07-20 09:31:03	ga_ls8c_ard_3-0-0_092082_2018-07-20_final
2018-07-20 09:31:27	ga_ls8c_ard_3-0-0_092083_2018-07-20_final
2018-07-20 09:31:51	ga_ls8c_ard_3-0-0_092084_2018-07-20_final
2018-07-20 09:32:15	ga_ls8c_ard_3-0-0_092085_2018-07-20_final
2018-07-20 09:32:39	ga_ls8c_ard_3-0-0_092086_2018-07-20_final
2018-07-20 09:33:03	ga_ls8c_ard_3-0-0_092087_2018-07-20_final
2018-07-22 09:21:30	ga_ls8c_ard_3-0-0_090089_2018-07-21_final
2018-07-22 09:21:54	ga_ls8c_ard_3-0-0_090090_2018-07-21_final
2018-07-22 09:22:18	ga_ls8c_ard_3-0-0_090091_2018-07-21_final
2023-03-21 09:26:45	ga_ls8c_ard_3-2-1_091085_2023-03-20_final
2023-03-21 09:27:09	ga_ls8c_ard_3-2-1_091086_2023-03-20_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