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
2016-05-14 11:35:12	ga_ls8c_ard_3-0-0_113067_2016-05-14_final
2016-06-10 11:21:35	ga_ls8c_ard_3-0-0_110079_2016-06-10_final
2016-06-10 11:21:59	ga_ls8c_ard_3-0-0_110080_2016-06-10_final
2016-06-10 11:22:23	ga_ls8c_ard_3-0-0_110081_2016-06-10_final
2016-06-10 11:22:47	ga_ls8c_ard_3-0-0_110082_2016-06-10_final
2016-06-10 11:23:11	ga_ls8c_ard_3-0-0_110083_2016-06-10_final
2016-06-10 11:23:35	ga_ls8c_ard_3-0-0_110084_2016-06-10_final
2016-06-19 11:17:02	ga_ls8c_ard_3-0-0_109083_2016-06-19_final
2016-06-19 11:17:26	ga_ls8c_ard_3-0-0_109084_2016-06-19_final
2016-06-19 11:17:50	ga_ls8c_ard_3-0-0_109085_2016-06-19_final
2016-07-12 11:21:50	ga_ls8c_ard_3-0-0_110079_2016-07-12_final
2016-07-12 11:22:14	ga_ls8c_ard_3-0-0_110080_2016-07-12_final
2016-07-12 11:22:38	ga_ls8c_ard_3-0-0_110081_2016-07-12_final
2016-07-12 11:23:02	ga_ls8c_ard_3-0-0_110082_2016-07-12_final
2016-07-12 11:23:26	ga_ls8c_ard_3-0-0_110083_2016-07-12_final
2016-07-12 11:23:50	ga_ls8c_ard_3-0-0_110084_2016-07-12_final
2016-08-29 11:22:04	ga_ls8c_ard_3-0-0_110079_2016-08-29_final
2016-08-29 11:22:28	ga_ls8c_ard_3-0-0_110080_2016-08-29_final
2016-08-29 11:22:52	ga_ls8c_ard_3-0-0_110081_2016-08-29_final
2016-08-29 11:23:16	ga_ls8c_ard_3-0-0_110082_2016-08-29_final
2016-08-29 11:23:40	ga_ls8c_ard_3-0-0_110083_2016-08-29_final
2016-08-29 11:24:04	ga_ls8c_ard_3-0-0_110084_2016-08-29_final
2016-09-07 11:17:32	ga_ls8c_ard_3-0-0_109083_2016-09-07_final
2016-09-07 11:17:56	ga_ls8c_ard_3-0-0_109084_2016-09-07_final
2016-09-07 11:18:20	ga_ls8c_ard_3-0-0_109085_2016-09-07_final
2016-09-30 11:22:08	ga_ls8c_ard_3-0-0_110079_2016-09-30_final
2016-09-30 11:22:32	ga_ls8c_ard_3-0-0_110080_2016-09-30_final
2016-09-30 11:22:56	ga_ls8c_ard_3-0-0_110081_2016-09-30_final
2016-09-30 11:23:20	ga_ls8c_ard_3-0-0_110082_2016-09-30_final
2016-09-30 11:23:44	ga_ls8c_ard_3-0-0_110083_2016-09-30_final
2016-09-30 11:24:08	ga_ls8c_ard_3-0-0_110084_2016-09-30_final
2017-03-30 11:35:15	ga_ls8c_ard_3-0-0_113067_2017-03-30_final
2017-04-01 11:25:40	ga_ls8c_ard_3-0-0_111074_2017-04-01_final
2017-04-01 11:26:04	ga_ls8c_ard_3-0-0_111075_2017-04-01_final
2017-04-01 11:26:28	ga_ls8c_ard_3-0-0_111076_2017-04-01_final
2017-04-01 11:26:51	ga_ls8c_ard_3-0-0_111077_2017-04-01_final
2017-04-01 11:27:15	ga_ls8c_ard_3-0-0_111078_2017-04-01_final
2017-04-01 11:27:39	ga_ls8c_ard_3-0-0_111079_2017-04-01_final
2017-04-01 11:28:03	ga_ls8c_ard_3-0-0_111080_2017-04-01_final
2017-05-21 11:16:49	ga_ls8c_ard_3-0-0_109083_2017-05-21_final
2017-05-21 11:17:13	ga_ls8c_ard_3-0-0_109084_2017-05-21_final
2017-05-21 11:17:37	ga_ls8c_ard_3-0-0_109085_2017-05-21_final
2017-07-04 11:35:26	ga_ls8c_ard_3-0-0_113067_2017-07-04_final
2017-07-06 11:25:53	ga_ls8c_ard_3-0-0_111074_2017-07-06_final
2017-07-06 11:26:17	ga_ls8c_ard_3-0-0_111075_2017-07-06_final
2017-07-06 11:26:41	ga_ls8c_ard_3-0-0_111076_2017-07-06_final
2017-07-06 11:27:04	ga_ls8c_ard_3-0-0_111077_2017-07-06_final
2017-07-06 11:27:28	ga_ls8c_ard_3-0-0_111078_2017-07-06_final
2017-07-06 11:27:52	ga_ls8c_ard_3-0-0_111079_2017-07-06_final
2017-07-06 11:28:16	ga_ls8c_ard_3-0-0_111080_2017-07-06_final
2018-02-13 11:35:28	ga_ls8c_ard_3-0-0_113067_2018-02-13_final
2018-02-15 11:26:17	ga_ls8c_ard_3-0-0_111075_2018-02-15_final
2018-02-15 11:26:41	ga_ls8c_ard_3-0-0_111076_2018-02-15_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
2018-05-20 11:34:36	ga_ls8c_ard_3-0-0_113067_2018-05-20_final
2018-06-23 11:25:04	ga_ls8c_ard_3-0-0_111074_2018-06-23_final
2018-06-23 11:25:28	ga_ls8c_ard_3-0-0_111075_2018-06-23_final
2018-06-23 11:25:52	ga_ls8c_ard_3-0-0_111076_2018-06-23_final
2018-06-23 11:26:16	ga_ls8c_ard_3-0-0_111077_2018-06-23_final
2018-06-23 11:26:40	ga_ls8c_ard_3-0-0_111078_2018-06-23_final
2018-06-23 11:27:03	ga_ls8c_ard_3-0-0_111079_2018-06-23_final
2018-06-23 11:27:27	ga_ls8c_ard_3-0-0_111080_2018-06-23_final
2023-04-11 11:21:28	ga_ls8c_ard_3-2-1_110079_2023-04-11_final
2023-04-11 11:21:52	ga_ls8c_ard_3-2-1_110080_2023-04-11_final
2023-04-11 11:22:16	ga_ls8c_ard_3-2-1_110081_2023-04-11_final
2023-04-11 11:22:40	ga_ls8c_ard_3-2-1_110082_2023-04-11_final
2023-04-11 11:23:03	ga_ls8c_ard_3-2-1_110083_2023-04-11_final
2023-04-11 11:23:27	ga_ls8c_ard_3-2-1_110084_2023-04-11_final
2023-09-25 11:26:11	ga_ls8c_ard_3-2-1_111074_2023-09-25_final
2023-09-25 11:26:35	ga_ls8c_ard_3-2-1_111075_2023-09-25_final
2023-09-25 11:26:59	ga_ls8c_ard_3-2-1_111076_2023-09-25_final
2023-09-25 11:27:23	ga_ls8c_ard_3-2-1_111077_2023-09-25_final
2023-09-25 11:27:47	ga_ls8c_ard_3-2-1_111078_2023-09-25_final
2023-09-25 11:28:10	ga_ls8c_ard_3-2-1_111079_2023-09-25_final
2023-09-25 11:28:34	ga_ls8c_ard_3-2-1_111080_2023-09-25_final
2023-09-27 11:17:26	ga_ls8c_ard_3-2-1_109083_2023-09-27_final
2023-09-27 11:17:50	ga_ls8c_ard_3-2-1_109084_2023-09-27_final
2023-10-02 11:31:36	ga_ls8c_ard_3-2-1_112072_2023-10-02_final
2023-10-02 11:31:59	ga_ls8c_ard_3-2-1_112073_2023-10-02_final
2023-10-02 11:32:23	ga_ls8c_ard_3-2-1_112074_2023-10-02_final
2023-10-02 11:32:47	ga_ls8c_ard_3-2-1_112075_2023-10-02_final
2023-10-04 11:22:01	ga_ls8c_ard_3-2-1_110079_2023-10-04_final
2023-10-04 11:22:25	ga_ls8c_ard_3-2-1_110080_2023-10-04_final
2023-10-04 11:22:49	ga_ls8c_ard_3-2-1_110081_2023-10-04_final
2023-10-04 11:23:13	ga_ls8c_ard_3-2-1_110082_2023-10-04_final
2023-10-04 11:23:37	ga_ls8c_ard_3-2-1_110083_2023-10-04_final
2023-10-04 11:24:01	ga_ls8c_ard_3-2-1_110084_2023-10-04_final
2023-10-13 11:17:29	ga_ls8c_ard_3-2-1_109083_2023-10-13_final
2023-10-13 11:17:53	ga_ls8c_ard_3-2-1_109084_2023-10-13_final
2023-11-12 11:26:14	ga_ls8c_ard_3-2-1_111074_2023-11-12_final
2023-11-12 11:26:38	ga_ls8c_ard_3-2-1_111075_2023-11-12_final
2023-11-12 11:27:02	ga_ls8c_ard_3-2-1_111076_2023-11-12_final
2023-11-12 11:27:26	ga_ls8c_ard_3-2-1_111077_2023-11-12_final
2023-11-12 11:27:50	ga_ls8c_ard_3-2-1_111078_2023-11-12_final
2023-11-12 11:28:14	ga_ls8c_ard_3-2-1_111079_2023-11-12_final
2023-11-12 11:28:38	ga_ls8c_ard_3-2-1_111080_2023-11-12_final
2023-11-14 11:17:30	ga_ls8c_ard_3-2-1_109083_2023-11-14_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