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
2014-03-14 09:16:38	ga_ls8c_ard_3-0-0_089089_2014-03-13_final
2014-03-14 09:17:02	ga_ls8c_ard_3-0-0_089090_2014-03-13_final
2014-03-17 09:40:42	ga_ls8c_ard_3-0-0_094072_2014-03-17_final
2014-03-17 09:41:06	ga_ls8c_ard_3-0-0_094073_2014-03-17_final
2014-03-17 09:41:30	ga_ls8c_ard_3-0-0_094074_2014-03-17_final
2014-06-02 09:15:43	ga_ls8c_ard_3-0-0_089089_2014-06-01_final
2014-06-02 09:16:07	ga_ls8c_ard_3-0-0_089090_2014-06-01_final
2014-06-12 09:44:06	ga_ls8c_ard_3-0-0_095067_2014-06-12_final
2014-06-28 09:44:08	ga_ls8c_ard_3-0-0_095067_2014-06-28_final
2015-07-03 09:33:51	ga_ls8c_ard_3-0-0_093073_2015-07-03_final
2015-07-03 09:34:15	ga_ls8c_ard_3-0-0_093074_2015-07-03_final
2015-07-03 09:34:39	ga_ls8c_ard_3-0-0_093075_2015-07-03_final
2015-07-03 09:35:03	ga_ls8c_ard_3-0-0_093076_2015-07-03_final
2015-07-03 09:35:27	ga_ls8c_ard_3-0-0_093077_2015-07-03_final
2015-07-03 09:35:51	ga_ls8c_ard_3-0-0_093078_2015-07-03_final
2015-07-05 09:24:43	ga_ls8c_ard_3-0-0_091081_2015-07-04_final
2015-07-05 09:25:07	ga_ls8c_ard_3-0-0_091082_2015-07-04_final
2015-07-05 09:25:31	ga_ls8c_ard_3-0-0_091083_2015-07-04_final
2015-07-05 09:25:55	ga_ls8c_ard_3-0-0_091084_2015-07-04_final
2015-07-05 09:26:19	ga_ls8c_ard_3-0-0_091085_2015-07-04_final
2015-07-05 09:26:43	ga_ls8c_ard_3-0-0_091086_2015-07-04_final
2015-07-05 09:27:07	ga_ls8c_ard_3-0-0_091087_2015-07-04_final
2015-08-15 09:20:24	ga_ls8c_ard_3-0-0_090085_2015-08-14_final
2015-08-15 09:20:48	ga_ls8c_ard_3-0-0_090086_2015-08-14_final
2015-08-15 09:21:12	ga_ls8c_ard_3-0-0_090087_2015-08-14_final
2015-08-15 09:21:36	ga_ls8c_ard_3-0-0_090088_2015-08-14_final
2015-09-21 09:34:25	ga_ls8c_ard_3-0-0_093073_2015-09-21_final
2015-09-21 09:34:49	ga_ls8c_ard_3-0-0_093074_2015-09-21_final
2015-09-21 09:35:13	ga_ls8c_ard_3-0-0_093075_2015-09-21_final
2015-09-21 09:35:37	ga_ls8c_ard_3-0-0_093076_2015-09-21_final
2015-09-21 09:36:01	ga_ls8c_ard_3-0-0_093077_2015-09-21_final
2015-09-21 09:36:25	ga_ls8c_ard_3-0-0_093078_2015-09-21_final
2015-09-21 09:36:49	ga_ls8c_ard_3-0-0_093079_2015-09-21_final
2015-09-23 09:25:15	ga_ls8c_ard_3-0-0_091081_2015-09-22_final
2015-09-23 09:25:39	ga_ls8c_ard_3-0-0_091082_2015-09-22_final
2015-09-23 09:26:03	ga_ls8c_ard_3-0-0_091083_2015-09-22_final
2015-09-23 09:26:27	ga_ls8c_ard_3-0-0_091084_2015-09-22_final
2015-09-23 09:26:51	ga_ls8c_ard_3-0-0_091085_2015-09-22_final
2015-09-23 09:27:15	ga_ls8c_ard_3-0-0_091086_2015-09-22_final
2015-09-23 09:27:39	ga_ls8c_ard_3-0-0_091087_2015-09-22_final
2015-11-24 09:34:36	ga_ls8c_ard_3-0-0_093073_2015-11-24_final
2015-11-24 09:34:59	ga_ls8c_ard_3-0-0_093074_2015-11-24_final
2015-11-24 09:35:23	ga_ls8c_ard_3-0-0_093075_2015-11-24_final
2015-11-24 09:35:47	ga_ls8c_ard_3-0-0_093076_2015-11-24_final
2015-11-24 09:36:11	ga_ls8c_ard_3-0-0_093077_2015-11-24_final
2015-11-24 09:36:35	ga_ls8c_ard_3-0-0_093078_2015-11-24_final
2015-11-24 09:36:59	ga_ls8c_ard_3-0-0_093079_2015-11-24_final
2015-11-26 09:25:26	ga_ls8c_ard_3-0-0_091081_2015-11-25_final
2015-11-26 09:25:50	ga_ls8c_ard_3-0-0_091082_2015-11-25_final
2015-11-26 09:26:13	ga_ls8c_ard_3-0-0_091083_2015-11-25_final
2015-11-26 09:26:37	ga_ls8c_ard_3-0-0_091084_2015-11-25_final
2015-11-26 09:27:01	ga_ls8c_ard_3-0-0_091085_2015-11-25_final
2015-11-26 09:27:25	ga_ls8c_ard_3-0-0_091086_2015-11-25_final
2015-11-26 09:27:49	ga_ls8c_ard_3-0-0_091087_2015-11-25_final
2018-05-19 09:19:39	ga_ls8c_ard_3-0-0_090085_2018-05-18_final
2018-05-19 09:20:03	ga_ls8c_ard_3-0-0_090086_2018-05-18_final
2018-05-19 09:20:27	ga_ls8c_ard_3-0-0_090087_2018-05-18_final
2018-05-19 09:20:51	ga_ls8c_ard_3-0-0_090088_2018-05-18_final
2018-05-19 09:21:15	ga_ls8c_ard_3-0-0_090089_2018-05-18_final
2018-05-19 09:21:39	ga_ls8c_ard_3-0-0_090090_2018-05-18_final
2018-05-22 09:43:20	ga_ls8c_ard_3-0-0_095067_2018-05-22_final
2020-10-04 09:34:46	ga_ls8c_ard_3-1-0_093073_2020-10-04_final
2020-10-04 09:35:10	ga_ls8c_ard_3-1-0_093074_2020-10-04_final
2020-10-04 09:35:34	ga_ls8c_ard_3-1-0_093075_2020-10-04_final
2020-10-04 09:35:58	ga_ls8c_ard_3-1-0_093076_2020-10-04_final
2020-10-04 09:36:21	ga_ls8c_ard_3-1-0_093077_2020-10-04_final
2020-10-04 09:36:45	ga_ls8c_ard_3-1-0_093078_2020-10-04_final
2020-10-04 09:37:09	ga_ls8c_ard_3-1-0_093079_2020-10-04_final
2020-10-06 09:25:36	ga_ls8c_ard_3-1-0_091081_2020-10-05_final
2020-10-06 09:26:00	ga_ls8c_ard_3-1-0_091082_2020-10-05_final
2020-10-06 09:26:24	ga_ls8c_ard_3-1-0_091083_2020-10-05_final
2020-10-06 09:26:48	ga_ls8c_ard_3-1-0_091084_2020-10-05_final
2020-10-06 09:27:12	ga_ls8c_ard_3-1-0_091085_2020-10-05_final
2020-10-06 09:27:36	ga_ls8c_ard_3-1-0_091086_2020-10-05_final
2020-10-06 09:28:00	ga_ls8c_ard_3-1-0_091087_2020-10-05_final
2020-10-20 09:34:47	ga_ls8c_ard_3-1-0_093073_2020-10-20_final
2020-10-20 09:35:11	ga_ls8c_ard_3-1-0_093074_2020-10-20_final
2020-10-20 09:35:35	ga_ls8c_ard_3-1-0_093075_2020-10-20_final
2020-10-20 09:35:58	ga_ls8c_ard_3-1-0_093076_2020-10-20_final
2020-10-20 09:36:22	ga_ls8c_ard_3-1-0_093077_2020-10-20_final
2020-10-20 09:36:46	ga_ls8c_ard_3-1-0_093078_2020-10-20_final
2020-10-20 09:37:10	ga_ls8c_ard_3-1-0_093079_2020-10-20_final
2020-11-21 09:34:45	ga_ls8c_ard_3-1-0_093073_2020-11-21_final
2020-11-21 09:35:09	ga_ls8c_ard_3-1-0_093074_2020-11-21_final
2020-11-21 09:35:33	ga_ls8c_ard_3-1-0_093075_2020-11-21_final
2020-11-21 09:35:57	ga_ls8c_ard_3-1-0_093076_2020-11-21_final
2020-11-21 09:36:21	ga_ls8c_ard_3-1-0_093077_2020-11-21_final
2020-11-21 09:36:45	ga_ls8c_ard_3-1-0_093078_2020-11-21_final
2020-11-21 09:37:09	ga_ls8c_ard_3-1-0_093079_2020-11-21_final
2020-11-23 09:26:00	ga_ls8c_ard_3-1-0_091082_2020-11-22_final
2020-11-23 09:26:24	ga_ls8c_ard_3-1-0_091083_2020-11-22_final
2020-11-23 09:26:48	ga_ls8c_ard_3-1-0_091084_2020-11-22_final
2020-11-23 09:27:12	ga_ls8c_ard_3-1-0_091085_2020-11-22_final
2020-11-23 09:27:36	ga_ls8c_ard_3-1-0_091086_2020-11-22_final
2020-11-23 09:28:00	ga_ls8c_ard_3-1-0_091087_2020-11-22_final
2020-11-25 09:16:26	ga_ls8c_ard_3-1-0_089089_2020-11-24_final
2020-11-25 09:16:50	ga_ls8c_ard_3-1-0_089090_2020-11-24_final
2020-12-14 09:40:10	ga_ls8c_ard_3-1-0_094071_2020-12-14_final
2020-12-14 09:40:34	ga_ls8c_ard_3-1-0_094072_2020-12-14_final
2020-12-14 09:40:58	ga_ls8c_ard_3-1-0_094073_2020-12-14_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