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
2015-09-12 11:22:36	ga_ls8c_ard_3-0-0_110081_2015-09-12_final
2015-09-12 11:23:00	ga_ls8c_ard_3-0-0_110082_2015-09-12_final
2015-09-12 11:23:24	ga_ls8c_ard_3-0-0_110083_2015-09-12_final
2015-09-12 11:23:48	ga_ls8c_ard_3-0-0_110084_2015-09-12_final
2015-09-12 11:24:12	ga_ls8c_ard_3-0-0_110085_2015-09-12_final
2015-09-28 11:22:42	ga_ls8c_ard_3-0-0_110081_2015-09-28_final
2015-09-28 11:23:06	ga_ls8c_ard_3-0-0_110082_2015-09-28_final
2015-09-28 11:23:30	ga_ls8c_ard_3-0-0_110083_2015-09-28_final
2015-09-28 11:23:54	ga_ls8c_ard_3-0-0_110084_2015-09-28_final
2015-09-28 11:24:18	ga_ls8c_ard_3-0-0_110085_2015-09-28_final
2015-10-03 11:35:40	ga_ls8c_ard_3-0-0_113067_2015-10-03_final
2015-10-03 11:37:40	ga_ls8c_ard_3-0-0_113072_2015-10-03_final
2015-10-03 11:38:04	ga_ls8c_ard_3-1-0_113073_2015-10-03_final
2015-10-05 11:27:18	ga_ls8c_ard_3-0-0_111077_2015-10-05_final
2015-10-05 11:27:42	ga_ls8c_ard_3-0-0_111078_2015-10-05_final
2015-10-05 11:28:06	ga_ls8c_ard_3-0-0_111079_2015-10-05_final
2015-10-05 11:28:30	ga_ls8c_ard_3-0-0_111080_2015-10-05_final
2015-10-05 11:28:54	ga_ls8c_ard_3-0-0_111081_2015-10-05_final
2015-10-05 11:29:18	ga_ls8c_ard_3-0-0_111082_2015-10-05_final
2015-10-07 11:18:08	ga_ls8c_ard_3-0-0_109085_2015-10-07_final
2015-10-10 11:41:51	ga_ls8c_ard_3-0-0_114067_2015-10-10_final
2015-10-12 11:31:29	ga_ls8c_ard_3-0-0_112072_2015-10-12_final
2015-10-12 11:31:53	ga_ls8c_ard_3-0-0_112073_2015-10-12_final
2015-10-12 11:32:17	ga_ls8c_ard_3-0-0_112074_2015-10-12_final
2015-10-12 11:32:41	ga_ls8c_ard_3-0-0_112075_2015-10-12_final
2015-10-12 11:33:04	ga_ls8c_ard_3-0-0_112076_2015-10-12_final
2015-10-12 11:33:28	ga_ls8c_ard_3-0-0_112077_2015-10-12_final
2015-10-19 11:35:41	ga_ls8c_ard_3-0-0_113067_2015-10-19_final
2015-10-19 11:37:41	ga_ls8c_ard_3-0-0_113072_2015-10-19_final
2015-10-19 11:38:05	ga_ls8c_ard_3-1-0_113073_2015-10-19_final
2015-10-21 11:27:20	ga_ls8c_ard_3-0-0_111077_2015-10-21_final
2015-10-21 11:27:44	ga_ls8c_ard_3-0-0_111078_2015-10-21_final
2015-10-21 11:28:08	ga_ls8c_ard_3-0-0_111079_2015-10-21_final
2015-10-21 11:28:32	ga_ls8c_ard_3-0-0_111080_2015-10-21_final
2015-10-21 11:28:56	ga_ls8c_ard_3-0-0_111081_2015-10-21_final
2015-10-21 11:29:20	ga_ls8c_ard_3-0-0_111082_2015-10-21_final
2015-10-30 11:22:48	ga_ls8c_ard_3-0-0_110081_2015-10-30_final
2015-10-30 11:23:12	ga_ls8c_ard_3-0-0_110082_2015-10-30_final
2015-10-30 11:23:36	ga_ls8c_ard_3-0-0_110083_2015-10-30_final
2015-10-30 11:24:00	ga_ls8c_ard_3-0-0_110084_2015-10-30_final
2015-10-30 11:24:24	ga_ls8c_ard_3-0-0_110085_2015-10-30_final
2015-11-04 11:35:46	ga_ls8c_ard_3-0-0_113067_2015-11-04_final
2015-11-04 11:37:46	ga_ls8c_ard_3-0-0_113072_2015-11-04_final
2015-11-04 11:38:10	ga_ls8c_ard_3-1-0_113073_2015-11-04_final
2015-11-06 11:27:24	ga_ls8c_ard_3-0-0_111077_2015-11-06_final
2015-11-06 11:27:48	ga_ls8c_ard_3-0-0_111078_2015-11-06_final
2015-11-06 11:28:12	ga_ls8c_ard_3-0-0_111079_2015-11-06_final
2015-11-06 11:28:36	ga_ls8c_ard_3-0-0_111080_2015-11-06_final
2015-11-06 11:29:00	ga_ls8c_ard_3-0-0_111081_2015-11-06_final
2015-11-06 11:29:24	ga_ls8c_ard_3-0-0_111082_2015-11-06_final
2015-11-08 11:18:14	ga_ls8c_ard_3-0-0_109085_2015-11-08_final
2015-11-11 11:41:56	ga_ls8c_ard_3-0-0_114067_2015-11-11_final
2015-11-13 11:31:34	ga_ls8c_ard_3-0-0_112072_2015-11-13_final
2015-11-13 11:31:58	ga_ls8c_ard_3-0-0_112073_2015-11-13_final
2015-11-13 11:32:22	ga_ls8c_ard_3-0-0_112074_2015-11-13_final
2015-11-13 11:32:46	ga_ls8c_ard_3-0-0_112075_2015-11-13_final
2015-11-13 11:33:10	ga_ls8c_ard_3-0-0_112076_2015-11-13_final
2015-11-13 11:33:34	ga_ls8c_ard_3-0-0_112077_2015-11-13_final
2015-11-13 11:33:58	ga_ls8c_ard_3-0-0_112078_2015-11-13_final
2018-05-11 11:40:54	ga_ls8c_ard_3-0-0_114067_2018-05-11_final
2018-06-14 11:30:21	ga_ls8c_ard_3-0-0_112072_2018-06-14_final
2018-06-14 11:30:45	ga_ls8c_ard_3-0-0_112073_2018-06-14_final
2018-06-14 11:31:09	ga_ls8c_ard_3-0-0_112074_2018-06-14_final
2018-06-14 11:31:33	ga_ls8c_ard_3-0-0_112075_2018-06-14_final
2018-06-14 11:31:56	ga_ls8c_ard_3-0-0_112076_2018-06-14_final
2018-06-14 11:32:20	ga_ls8c_ard_3-0-0_112077_2018-06-14_final
2018-06-14 11:32:44	ga_ls8c_ard_3-0-0_112078_2018-06-14_final
2018-06-28 11:40:52	ga_ls8c_ard_3-0-0_114067_2018-06-28_final
2018-06-30 11:30:31	ga_ls8c_ard_3-0-0_112072_2018-06-30_final
2018-06-30 11:30:55	ga_ls8c_ard_3-0-0_112073_2018-06-30_final
2018-06-30 11:31:19	ga_ls8c_ard_3-0-0_112074_2018-06-30_final
2018-06-30 11:31:43	ga_ls8c_ard_3-0-0_112075_2018-06-30_final
2018-06-30 11:32:07	ga_ls8c_ard_3-0-0_112076_2018-06-30_final
2018-06-30 11:32:31	ga_ls8c_ard_3-0-0_112077_2018-06-30_final
2018-06-30 11:32:54	ga_ls8c_ard_3-0-0_112078_2018-06-30_final
2022-01-23 11:37:49	ga_ls8c_ard_3-2-1_113072_2022-01-23_final
2022-01-23 11:38:13	ga_ls8c_ard_3-2-1_113073_2022-01-23_final
2022-01-25 11:27:26	ga_ls8c_ard_3-2-1_111077_2022-01-25_final
2022-01-25 11:27:50	ga_ls8c_ard_3-2-1_111078_2022-01-25_final
2022-01-25 11:28:14	ga_ls8c_ard_3-2-1_111079_2022-01-25_final
2022-01-25 11:28:38	ga_ls8c_ard_3-2-1_111080_2022-01-25_final
2022-02-17 11:31:31	ga_ls8c_ard_3-2-1_112072_2022-02-17_final
2022-02-17 11:31:55	ga_ls8c_ard_3-2-1_112073_2022-02-17_final
2022-02-17 11:32:19	ga_ls8c_ard_3-2-1_112074_2022-02-17_final
2022-02-17 11:32:43	ga_ls8c_ard_3-2-1_112075_2022-02-17_final
2022-02-17 11:33:07	ga_ls8c_ard_3-2-1_112076_2022-02-17_final
2022-02-17 11:33:31	ga_ls8c_ard_3-2-1_112077_2022-02-17_final
2022-02-17 11:33:55	ga_ls8c_ard_3-2-1_112078_2022-02-17_final
2022-02-19 11:22:44	ga_ls8c_ard_3-2-1_110081_2022-02-19_final
2022-02-19 11:23:08	ga_ls8c_ard_3-2-1_110082_2022-02-19_final
2022-02-19 11:23:32	ga_ls8c_ard_3-2-1_110083_2022-02-19_final
2022-02-19 11:23:56	ga_ls8c_ard_3-2-1_110084_2022-02-19_final
2022-02-19 11:24:20	ga_ls8c_ard_3-2-1_110085_2022-02-19_final
2022-03-05 11:31:52	ga_ls8c_ard_3-2-1_112073_2022-03-05_final
2022-03-05 11:32:16	ga_ls8c_ard_3-2-1_112074_2022-03-05_final
2022-03-05 11:33:28	ga_ls8c_ard_3-2-1_112077_2022-03-05_final
2022-03-07 11:23:06	ga_ls8c_ard_3-2-1_110082_2022-03-07_final
2022-03-07 11:24:17	ga_ls8c_ard_3-2-1_110085_2022-03-07_final
2022-03-28 11:37:25	ga_ls8c_ard_3-2-1_113072_2022-03-28_final
2022-03-28 11:37:49	ga_ls8c_ard_3-2-1_113073_2022-03-28_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