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
2016-07-01 11:35:30	ga_ls8c_ard_3-0-0_113067_2016-07-01_final
2016-07-01 11:37:30	ga_ls8c_ard_3-0-0_113072_2016-07-01_final
2016-07-01 11:37:54	ga_ls8c_ard_3-0-0_113073_2016-07-01_final
2016-07-03 11:27:09	ga_ls8c_ard_3-0-0_111077_2016-07-03_final
2016-07-03 11:27:33	ga_ls8c_ard_3-0-0_111078_2016-07-03_final
2016-07-03 11:27:57	ga_ls8c_ard_3-0-0_111079_2016-07-03_final
2016-07-03 11:28:21	ga_ls8c_ard_3-0-0_111080_2016-07-03_final
2016-07-03 11:28:45	ga_ls8c_ard_3-0-0_111081_2016-07-03_final
2016-07-03 11:29:08	ga_ls8c_ard_3-0-0_111082_2016-07-03_final
2016-07-05 11:17:36	ga_ls8c_ard_3-0-0_109084_2016-07-05_final
2016-07-05 11:18:00	ga_ls8c_ard_3-0-0_109085_2016-07-05_final
2016-08-18 11:35:45	ga_ls8c_ard_3-0-0_113067_2016-08-18_final
2016-08-18 11:37:44	ga_ls8c_ard_3-0-0_113072_2016-08-18_final
2016-08-18 11:38:08	ga_ls8c_ard_3-0-0_113073_2016-08-18_final
2016-08-20 11:27:23	ga_ls8c_ard_3-0-0_111077_2016-08-20_final
2016-08-20 11:27:47	ga_ls8c_ard_3-0-0_111078_2016-08-20_final
2016-08-20 11:28:11	ga_ls8c_ard_3-0-0_111079_2016-08-20_final
2016-08-20 11:28:35	ga_ls8c_ard_3-0-0_111080_2016-08-20_final
2016-08-20 11:28:59	ga_ls8c_ard_3-0-0_111081_2016-08-20_final
2016-08-20 11:29:23	ga_ls8c_ard_3-0-0_111082_2016-08-20_final
2016-08-22 11:17:50	ga_ls8c_ard_3-0-0_109084_2016-08-22_final
2016-08-22 11:18:14	ga_ls8c_ard_3-0-0_109085_2016-08-22_final
2016-10-16 11:23:02	ga_ls8c_ard_3-0-0_110081_2016-10-16_final
2016-11-10 11:18:02	ga_ls8c_ard_3-0-0_109084_2016-11-10_final
2016-11-10 11:18:26	ga_ls8c_ard_3-0-0_109085_2016-11-10_final
2016-11-24 11:27:37	ga_ls8c_ard_3-0-0_111077_2016-11-24_final
2016-11-24 11:28:01	ga_ls8c_ard_3-0-0_111078_2016-11-24_final
2016-11-24 11:28:25	ga_ls8c_ard_3-0-0_111079_2016-11-24_final
2016-11-24 11:28:49	ga_ls8c_ard_3-0-0_111080_2016-11-24_final
2016-11-24 11:29:13	ga_ls8c_ard_3-0-0_111081_2016-11-24_final
2016-11-24 11:29:37	ga_ls8c_ard_3-0-0_111082_2016-11-24_final
2016-12-19 11:22:57	ga_ls8c_ard_3-0-0_110081_2016-12-19_final
2016-12-19 11:23:21	ga_ls8c_ard_3-0-0_110082_2016-12-19_final
2016-12-19 11:23:45	ga_ls8c_ard_3-0-0_110083_2016-12-19_final
2016-12-19 11:24:08	ga_ls8c_ard_3-0-0_110084_2016-12-19_final
2016-12-19 11:24:32	ga_ls8c_ard_3-0-0_110085_2016-12-19_final
2017-01-25 11:35:45	ga_ls8c_ard_3-0-0_113067_2017-01-25_final
2017-01-25 11:37:45	ga_ls8c_ard_3-0-0_113072_2017-01-25_final
2017-01-25 11:38:09	ga_ls8c_ard_3-0-0_113073_2017-01-25_final
2017-01-27 11:27:22	ga_ls8c_ard_3-0-0_111077_2017-01-27_final
2017-01-27 11:27:46	ga_ls8c_ard_3-0-0_111078_2017-01-27_final
2017-01-27 11:28:10	ga_ls8c_ard_3-0-0_111079_2017-01-27_final
2017-01-27 11:28:34	ga_ls8c_ard_3-0-0_111080_2017-01-27_final
2017-01-27 11:28:58	ga_ls8c_ard_3-0-0_111081_2017-01-27_final
2017-01-27 11:29:22	ga_ls8c_ard_3-0-0_111082_2017-01-27_final
2017-02-21 11:22:36	ga_ls8c_ard_3-0-0_110081_2017-02-21_final
2017-02-21 11:23:00	ga_ls8c_ard_3-0-0_110082_2017-02-21_final
2017-02-21 11:23:24	ga_ls8c_ard_3-0-0_110083_2017-02-21_final
2017-02-21 11:23:48	ga_ls8c_ard_3-0-0_110084_2017-02-21_final
2017-02-21 11:24:12	ga_ls8c_ard_3-0-0_110085_2017-02-21_final
2018-02-13 11:35:28	ga_ls8c_ard_3-0-0_113067_2018-02-13_final
2018-02-13 11:37:28	ga_ls8c_ard_3-0-0_113072_2018-02-13_final
2018-02-13 11:37:52	ga_ls8c_ard_3-0-0_113073_2018-02-13_final
2018-02-15 11:27:05	ga_ls8c_ard_3-0-0_111077_2018-02-15_final
2018-02-15 11:27:29	ga_ls8c_ard_3-0-0_111078_2018-02-15_final
2018-02-15 11:27:53	ga_ls8c_ard_3-0-0_111079_2018-02-15_final
2018-02-15 11:28:17	ga_ls8c_ard_3-0-0_111080_2018-02-15_final
2018-02-15 11:28:41	ga_ls8c_ard_3-0-0_111081_2018-02-15_final
2018-02-15 11:29:05	ga_ls8c_ard_3-0-0_111082_2018-02-15_final
2019-01-31 11:35:25	ga_ls8c_ard_3-0-0_113067_2019-01-31_final
2019-01-31 11:37:25	ga_ls8c_ard_3-0-0_113072_2019-01-31_final
2019-01-31 11:37:49	ga_ls8c_ard_3-1-0_113073_2019-01-31_final
2019-02-20 11:17:50	ga_ls8c_ard_3-0-0_109085_2019-02-20_final
2019-03-31 11:22:15	ga_ls8c_ard_3-1-0_110081_2019-03-31_final
2019-03-31 11:22:39	ga_ls8c_ard_3-1-0_110082_2019-03-31_final
2019-03-31 11:23:03	ga_ls8c_ard_3-1-0_110083_2019-03-31_final
2019-03-31 11:23:26	ga_ls8c_ard_3-1-0_110084_2019-03-31_final
2019-03-31 11:23:50	ga_ls8c_ard_3-1-0_110085_2019-03-31_final
2019-05-09 11:26:47	ga_ls8c_ard_3-0-0_111077_2019-05-09_final
2019-05-09 11:27:11	ga_ls8c_ard_3-0-0_111078_2019-05-09_final
2019-05-09 11:27:35	ga_ls8c_ard_3-0-0_111079_2019-05-09_final
2019-05-09 11:27:59	ga_ls8c_ard_3-0-0_111080_2019-05-09_final
2019-05-09 11:28:23	ga_ls8c_ard_3-0-0_111081_2019-05-09_final
2019-05-09 11:28:47	ga_ls8c_ard_3-0-0_111082_2019-05-09_final
2019-05-11 11:17:15	ga_ls8c_ard_3-0-0_109084_2019-05-11_final
2019-05-11 11:17:38	ga_ls8c_ard_3-0-0_109085_2019-05-11_final
2019-06-24 11:35:32	ga_ls8c_ard_3-1-0_113067_2019-06-24_final
2019-06-24 11:37:07	ga_ls8c_ard_3-1-0_113071_2019-06-24_final
2019-06-24 11:37:31	ga_ls8c_ard_3-1-0_113072_2019-06-24_final
2019-06-24 11:37:55	ga_ls8c_ard_3-1-0_113073_2019-06-24_final
2023-05-27 11:30:47	ga_ls8c_ard_3-2-1_112072_2023-05-27_final
2023-05-27 11:31:11	ga_ls8c_ard_3-2-1_112073_2023-05-27_final
2023-05-27 11:31:35	ga_ls8c_ard_3-2-1_112074_2023-05-27_final
2023-05-27 11:31:59	ga_ls8c_ard_3-2-1_112075_2023-05-27_final
2023-05-27 11:32:22	ga_ls8c_ard_3-2-1_112076_2023-05-27_final
2023-05-27 11:32:46	ga_ls8c_ard_3-2-1_112077_2023-05-27_final
2023-05-27 11:33:10	ga_ls8c_ard_3-2-1_112078_2023-05-27_final
2023-05-29 11:22:01	ga_ls8c_ard_3-2-1_110081_2023-05-29_final
2023-05-29 11:22:25	ga_ls8c_ard_3-2-1_110082_2023-05-29_final
2023-05-29 11:22:49	ga_ls8c_ard_3-2-1_110083_2023-05-29_final
2023-05-29 11:23:12	ga_ls8c_ard_3-2-1_110084_2023-05-29_final
2023-05-29 11:23:36	ga_ls8c_ard_3-2-1_110085_2023-05-29_final
2024-01-29 11:37:41	ga_ls8c_ard_3-2-1_113072_2024-01-29_final
2024-01-29 11:38:05	ga_ls8c_ard_3-2-1_113073_2024-01-29_final
2024-01-31 11:27:20	ga_ls8c_ard_3-2-1_111077_2024-01-31_final
2024-01-31 11:27:44	ga_ls8c_ard_3-2-1_111078_2024-01-31_final
2024-01-31 11:28:08	ga_ls8c_ard_3-2-1_111079_2024-01-31_final
2024-01-31 11:28:32	ga_ls8c_ard_3-2-1_111080_2024-01-31_final
2024-01-31 11:28:56	ga_ls8c_ard_3-2-1_111081_2024-01-31_final
2024-01-31 11:29:20	ga_ls8c_ard_3-2-1_111082_2024-01-31_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