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
2013-04-22 11:29:04	ga_ls8c_ard_3-0-0_111077_2013-04-22_final
2013-04-22 11:29:28	ga_ls8c_ard_3-0-0_111078_2013-04-22_final
2013-04-22 11:29:52	ga_ls8c_ard_3-0-0_111079_2013-04-22_final
2013-04-22 11:30:16	ga_ls8c_ard_3-0-0_111080_2013-04-22_final
2013-04-22 11:30:40	ga_ls8c_ard_3-0-0_111081_2013-04-22_final
2013-04-22 11:31:04	ga_ls8c_ard_3-0-0_111082_2013-04-22_final
2013-05-01 11:24:29	ga_ls8c_ard_3-0-0_110081_2013-05-01_final
2013-06-09 11:29:18	ga_ls8c_ard_3-0-0_111077_2013-06-09_final
2013-06-09 11:29:42	ga_ls8c_ard_3-0-0_111078_2013-06-09_final
2013-06-09 11:30:06	ga_ls8c_ard_3-0-0_111079_2013-06-09_final
2013-06-09 11:30:30	ga_ls8c_ard_3-0-0_111080_2013-06-09_final
2013-06-09 11:30:54	ga_ls8c_ard_3-0-0_111081_2013-06-09_final
2013-06-09 11:31:18	ga_ls8c_ard_3-0-0_111082_2013-06-09_final
2013-07-02 11:33:50	ga_ls8c_ard_3-0-0_112073_2013-07-02_final
2013-07-02 11:34:14	ga_ls8c_ard_3-0-0_112074_2013-07-02_final
2013-07-02 11:34:38	ga_ls8c_ard_3-0-0_112075_2013-07-02_final
2013-07-02 11:35:02	ga_ls8c_ard_3-0-0_112076_2013-07-02_final
2013-07-02 11:35:26	ga_ls8c_ard_3-0-0_112077_2013-07-02_final
2013-07-02 11:35:50	ga_ls8c_ard_3-0-0_112078_2013-07-02_final
2013-07-04 11:24:41	ga_ls8c_ard_3-0-0_110081_2013-07-04_final
2013-07-04 11:25:05	ga_ls8c_ard_3-0-0_110082_2013-07-04_final
2013-07-04 11:25:29	ga_ls8c_ard_3-0-0_110083_2013-07-04_final
2013-07-04 11:25:52	ga_ls8c_ard_3-0-0_110084_2013-07-04_final
2013-07-09 11:39:38	ga_ls8c_ard_3-0-0_113072_2013-07-09_final
2013-07-09 11:40:02	ga_ls8c_ard_3-0-0_113073_2013-07-09_final
2013-07-11 11:29:16	ga_ls8c_ard_3-0-0_111077_2013-07-11_final
2013-07-11 11:29:40	ga_ls8c_ard_3-0-0_111078_2013-07-11_final
2013-07-11 11:30:04	ga_ls8c_ard_3-0-0_111079_2013-07-11_final
2013-07-11 11:30:28	ga_ls8c_ard_3-0-0_111080_2013-07-11_final
2013-07-11 11:30:52	ga_ls8c_ard_3-0-0_111081_2013-07-11_final
2013-07-11 11:31:16	ga_ls8c_ard_3-0-0_111082_2013-07-11_final
2013-08-03 11:33:52	ga_ls8c_ard_3-0-0_112073_2013-08-03_final
2013-08-03 11:34:16	ga_ls8c_ard_3-0-0_112074_2013-08-03_final
2013-08-03 11:34:40	ga_ls8c_ard_3-0-0_112075_2013-08-03_final
2013-08-03 11:35:04	ga_ls8c_ard_3-0-0_112076_2013-08-03_final
2013-08-03 11:35:28	ga_ls8c_ard_3-0-0_112077_2013-08-03_final
2013-08-03 11:35:52	ga_ls8c_ard_3-0-0_112078_2013-08-03_final
2013-08-28 11:29:20	ga_ls8c_ard_3-0-0_111077_2013-08-28_final
2013-08-28 11:29:44	ga_ls8c_ard_3-0-0_111078_2013-08-28_final
2013-08-28 11:30:08	ga_ls8c_ard_3-0-0_111079_2013-08-28_final
2013-08-28 11:30:32	ga_ls8c_ard_3-0-0_111080_2013-08-28_final
2013-08-28 11:30:56	ga_ls8c_ard_3-0-0_111081_2013-08-28_final
2013-08-28 11:31:20	ga_ls8c_ard_3-0-0_111082_2013-08-28_final
2019-02-27 11:22:23	ga_ls8c_ard_3-0-0_110081_2019-02-27_final
2019-02-27 11:22:47	ga_ls8c_ard_3-0-0_110082_2019-02-27_final
2019-02-27 11:23:11	ga_ls8c_ard_3-0-0_110083_2019-02-27_final
2019-02-27 11:23:35	ga_ls8c_ard_3-0-0_110084_2019-02-27_final
2019-02-27 11:23:59	ga_ls8c_ard_3-0-0_110085_2019-02-27_final
2019-04-14 11:31:20	ga_ls8c_ard_3-1-0_112073_2019-04-14_final
2019-04-14 11:31:44	ga_ls8c_ard_3-1-0_112074_2019-04-14_final
2019-04-14 11:32:08	ga_ls8c_ard_3-1-0_112075_2019-04-14_final
2019-04-14 11:32:32	ga_ls8c_ard_3-1-0_112076_2019-04-14_final
2019-04-14 11:32:56	ga_ls8c_ard_3-1-0_112077_2019-04-14_final
2019-04-14 11:33:20	ga_ls8c_ard_3-1-0_112078_2019-04-14_final
2019-04-16 11:22:09	ga_ls8c_ard_3-1-0_110081_2019-04-16_final
2019-04-16 11:22:33	ga_ls8c_ard_3-1-0_110082_2019-04-16_final
2019-04-16 11:22:57	ga_ls8c_ard_3-1-0_110083_2019-04-16_final
2019-04-16 11:23:21	ga_ls8c_ard_3-1-0_110084_2019-04-16_final
2019-04-16 11:23:45	ga_ls8c_ard_3-1-0_110085_2019-04-16_final
2019-04-23 11:26:41	ga_ls8c_ard_3-0-0_111077_2019-04-23_final
2019-04-23 11:27:05	ga_ls8c_ard_3-0-0_111078_2019-04-23_final
2019-04-23 11:27:29	ga_ls8c_ard_3-0-0_111079_2019-04-23_final
2019-04-23 11:27:53	ga_ls8c_ard_3-0-0_111080_2019-04-23_final
2019-04-23 11:28:17	ga_ls8c_ard_3-0-0_111081_2019-04-23_final
2019-04-23 11:28:41	ga_ls8c_ard_3-0-0_111082_2019-04-23_final
2019-04-25 11:17:30	ga_ls8c_ard_3-0-0_109085_2019-04-25_final
2019-06-01 11:31:12	ga_ls8c_ard_3-0-0_112072_2019-06-01_final
2019-06-01 11:31:36	ga_ls8c_ard_3-0-0_112073_2019-06-01_final
2019-06-01 11:32:00	ga_ls8c_ard_3-0-0_112074_2019-06-01_final
2019-06-01 11:32:24	ga_ls8c_ard_3-0-0_112075_2019-06-01_final
2019-06-01 11:32:47	ga_ls8c_ard_3-0-0_112076_2019-06-01_final
2019-06-01 11:33:11	ga_ls8c_ard_3-0-0_112077_2019-06-01_final
2019-06-01 11:33:35	ga_ls8c_ard_3-0-0_112078_2019-06-01_final
2019-06-03 11:22:26	ga_ls8c_ard_3-0-0_110081_2019-06-03_final
2019-06-03 11:22:50	ga_ls8c_ard_3-0-0_110082_2019-06-03_final
2019-06-03 11:23:14	ga_ls8c_ard_3-0-0_110083_2019-06-03_final
2019-06-03 11:23:38	ga_ls8c_ard_3-0-0_110084_2019-06-03_final
2019-06-03 11:24:02	ga_ls8c_ard_3-0-0_110085_2019-06-03_final
2019-12-12 11:23:00	ga_ls8c_ard_3-1-0_110081_2019-12-12_final
2019-12-12 11:23:24	ga_ls8c_ard_3-1-0_110082_2019-12-12_final
2019-12-12 11:23:48	ga_ls8c_ard_3-1-0_110083_2019-12-12_final
2019-12-12 11:24:12	ga_ls8c_ard_3-1-0_110084_2019-12-12_final
2019-12-12 11:24:36	ga_ls8c_ard_3-1-0_110085_2019-12-12_final
2019-12-17 11:37:32	ga_ls8c_ard_3-2-0_113071_2019-12-17_final
2019-12-17 11:37:56	ga_ls8c_ard_3-2-0_113072_2019-12-17_final
2019-12-17 11:38:20	ga_ls8c_ard_3-2-0_113073_2019-12-17_final
2020-12-23 11:18:26	ga_ls8c_ard_3-2-0_109085_2020-12-23_final
2020-12-26 11:42:09	ga_ls8c_ard_3-2-0_114067_2020-12-26_final
2020-12-28 11:32:10	ga_ls8c_ard_3-2-0_112073_2020-12-28_final
2020-12-28 11:32:34	ga_ls8c_ard_3-2-0_112074_2020-12-28_final
2020-12-28 11:32:58	ga_ls8c_ard_3-2-0_112075_2020-12-28_final
2020-12-28 11:33:22	ga_ls8c_ard_3-2-0_112076_2020-12-28_final
2020-12-28 11:33:46	ga_ls8c_ard_3-2-0_112077_2020-12-28_final
2020-12-28 11:34:10	ga_ls8c_ard_3-2-0_112078_2020-12-28_final
2020-12-30 11:22:59	ga_ls8c_ard_3-2-0_110081_2020-12-30_final
2020-12-30 11:23:23	ga_ls8c_ard_3-2-0_110082_2020-12-30_final
2020-12-30 11:23:47	ga_ls8c_ard_3-2-0_110083_2020-12-30_final
2020-12-30 11:24:11	ga_ls8c_ard_3-2-0_110084_2020-12-30_final
2020-12-30 11:24:35	ga_ls8c_ard_3-2-0_110085_2020-12-30_final
2021-01-04 11:37:55	ga_ls8c_ard_3-2-0_113072_2021-01-04_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years