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
2013-09-11 11:37:40	ga_ls8c_ard_3-0-0_113067_2013-09-11_final
2013-10-22 11:33:40	ga_ls8c_ard_3-0-0_112073_2013-10-22_final
2013-10-22 11:34:04	ga_ls8c_ard_3-0-0_112074_2013-10-22_final
2013-10-24 11:22:53	ga_ls8c_ard_3-0-0_110077_2013-10-24_final
2013-10-24 11:23:16	ga_ls8c_ard_3-0-0_110078_2013-10-24_final
2013-10-24 11:23:40	ga_ls8c_ard_3-0-0_110079_2013-10-24_final
2013-10-24 11:24:04	ga_ls8c_ard_3-0-0_110080_2013-10-24_final
2013-10-24 11:24:28	ga_ls8c_ard_3-0-0_110081_2013-10-24_final
2013-10-24 11:24:52	ga_ls8c_ard_3-0-0_110082_2013-10-24_final
2013-10-24 11:25:16	ga_ls8c_ard_3-0-0_110083_2013-10-24_final
2013-10-31 11:27:25	ga_ls8c_ard_3-0-0_111073_2013-10-31_final
2013-10-31 11:27:49	ga_ls8c_ard_3-0-0_111074_2013-10-31_final
2013-10-31 11:28:13	ga_ls8c_ard_3-0-0_111075_2013-10-31_final
2013-10-31 11:28:37	ga_ls8c_ard_3-0-0_111076_2013-10-31_final
2013-10-31 11:29:00	ga_ls8c_ard_3-0-0_111077_2013-10-31_final
2013-10-31 11:29:24	ga_ls8c_ard_3-0-0_111078_2013-10-31_final
2013-10-31 11:29:48	ga_ls8c_ard_3-0-0_111079_2013-10-31_final
2013-11-02 11:18:15	ga_ls8c_ard_3-0-0_109081_2013-11-02_final
2013-11-02 11:18:39	ga_ls8c_ard_3-0-0_109082_2013-11-02_final
2013-11-02 11:19:03	ga_ls8c_ard_3-0-0_109083_2013-11-02_final
2013-11-02 11:19:27	ga_ls8c_ard_3-0-0_109084_2013-11-02_final
2013-11-18 11:18:11	ga_ls8c_ard_3-0-0_109081_2013-11-18_final
2013-12-09 11:33:04	ga_ls8c_ard_3-0-0_112072_2013-12-09_final
2013-12-09 11:33:28	ga_ls8c_ard_3-0-0_112073_2013-12-09_final
2013-12-09 11:33:52	ga_ls8c_ard_3-0-0_112074_2013-12-09_final
2013-12-11 11:22:41	ga_ls8c_ard_3-0-0_110077_2013-12-11_final
2013-12-11 11:23:05	ga_ls8c_ard_3-0-0_110078_2013-12-11_final
2013-12-11 11:23:29	ga_ls8c_ard_3-0-0_110079_2013-12-11_final
2013-12-11 11:23:53	ga_ls8c_ard_3-0-0_110080_2013-12-11_final
2013-12-11 11:24:17	ga_ls8c_ard_3-0-0_110081_2013-12-11_final
2013-12-11 11:24:41	ga_ls8c_ard_3-0-0_110082_2013-12-11_final
2013-12-11 11:25:05	ga_ls8c_ard_3-0-0_110083_2013-12-11_final
2014-01-01 11:37:03	ga_ls8c_ard_3-0-0_113067_2014-01-01_final
2014-01-03 11:27:04	ga_ls8c_ard_3-0-0_111073_2014-01-03_final
2014-01-03 11:27:27	ga_ls8c_ard_3-0-0_111074_2014-01-03_final
2014-01-03 11:27:51	ga_ls8c_ard_3-0-0_111075_2014-01-03_final
2014-01-03 11:28:15	ga_ls8c_ard_3-0-0_111076_2014-01-03_final
2014-01-03 11:28:39	ga_ls8c_ard_3-0-0_111077_2014-01-03_final
2014-01-03 11:29:03	ga_ls8c_ard_3-0-0_111078_2014-01-03_final
2014-01-05 11:17:52	ga_ls8c_ard_3-0-0_109081_2014-01-05_final
2014-01-05 11:18:16	ga_ls8c_ard_3-0-0_109082_2014-01-05_final
2014-01-05 11:18:40	ga_ls8c_ard_3-0-0_109083_2014-01-05_final
2014-01-05 11:19:04	ga_ls8c_ard_3-0-0_109084_2014-01-05_final
2017-09-17 11:21:14	ga_ls8c_ard_3-0-0_110077_2017-09-17_final
2017-09-17 11:21:38	ga_ls8c_ard_3-0-0_110078_2017-09-17_final
2017-09-17 11:22:02	ga_ls8c_ard_3-0-0_110079_2017-09-17_final
2017-09-17 11:22:26	ga_ls8c_ard_3-0-0_110080_2017-09-17_final
2017-09-19 11:12:05	ga_ls8c_ard_3-0-0_108085_2017-09-19_final
2021-02-18 11:12:00	ga_ls8c_ard_3-2-0_108085_2021-02-18_final
2021-03-04 11:21:04	ga_ls8c_ard_3-2-0_110077_2021-03-04_final
2021-03-04 11:21:28	ga_ls8c_ard_3-2-0_110078_2021-03-04_final
2021-03-04 11:21:52	ga_ls8c_ard_3-2-0_110079_2021-03-04_final
2021-03-04 11:22:16	ga_ls8c_ard_3-2-0_110080_2021-03-04_final
2021-03-04 11:22:39	ga_ls8c_ard_3-2-0_110081_2021-03-04_final
2021-03-04 11:23:03	ga_ls8c_ard_3-2-0_110082_2021-03-04_final
2021-03-04 11:23:27	ga_ls8c_ard_3-2-0_110083_2021-03-04_final
2021-03-09 11:35:34	ga_ls8c_ard_3-2-0_113067_2021-03-09_final
2021-03-13 11:16:47	ga_ls8c_ard_3-2-0_109082_2021-03-13_final
2021-03-13 11:17:11	ga_ls8c_ard_3-2-0_109083_2021-03-13_final
2021-03-13 11:17:35	ga_ls8c_ard_3-2-0_109084_2021-03-13_final
2021-03-13 11:17:59	ga_ls8c_ard_3-2-0_109085_2021-03-13_final
2021-03-18 11:29:42	ga_ls8c_ard_3-2-0_112068_2021-03-18_final
2021-03-18 11:30:05	ga_ls8c_ard_3-2-0_112069_2021-03-18_final
2021-03-18 11:30:29	ga_ls8c_ard_3-2-0_112070_2021-03-18_final
2021-03-18 11:30:53	ga_ls8c_ard_3-2-0_112071_2021-03-18_final
2021-03-18 11:31:17	ga_ls8c_ard_3-2-0_112072_2021-03-18_final
2021-03-18 11:31:41	ga_ls8c_ard_3-2-0_112073_2021-03-18_final
2021-03-18 11:32:05	ga_ls8c_ard_3-2-0_112074_2021-03-18_final
2021-03-20 11:20:55	ga_ls8c_ard_3-2-0_110077_2021-03-20_final
2021-03-20 11:21:19	ga_ls8c_ard_3-2-0_110078_2021-03-20_final
2021-03-20 11:21:43	ga_ls8c_ard_3-2-0_110079_2021-03-20_final
2021-03-20 11:22:07	ga_ls8c_ard_3-2-0_110080_2021-03-20_final
2021-03-20 11:22:31	ga_ls8c_ard_3-2-0_110081_2021-03-20_final
2021-03-20 11:22:55	ga_ls8c_ard_3-2-0_110082_2021-03-20_final
2021-03-20 11:23:19	ga_ls8c_ard_3-2-0_110083_2021-03-20_final
2021-03-22 11:11:45	ga_ls8c_ard_3-2-0_108085_2021-03-22_final
2021-03-25 11:35:27	ga_ls8c_ard_3-2-0_113067_2021-03-25_final
2021-03-27 11:25:29	ga_ls8c_ard_3-2-0_111073_2021-03-27_final
2021-03-27 11:25:53	ga_ls8c_ard_3-2-0_111074_2021-03-27_final
2021-03-27 11:26:17	ga_ls8c_ard_3-2-0_111075_2021-03-27_final
2021-03-27 11:26:41	ga_ls8c_ard_3-2-0_111076_2021-03-27_final
2021-03-27 11:27:05	ga_ls8c_ard_3-2-0_111077_2021-03-27_final
2021-03-27 11:27:29	ga_ls8c_ard_3-2-0_111078_2021-03-27_final
2021-03-27 11:27:53	ga_ls8c_ard_3-2-0_111079_2021-03-27_final
2021-03-29 11:16:42	ga_ls8c_ard_3-2-0_109082_2021-03-29_final
2021-03-29 11:17:06	ga_ls8c_ard_3-2-0_109083_2021-03-29_final
2021-03-29 11:17:30	ga_ls8c_ard_3-2-0_109084_2021-03-29_final
2021-03-29 11:17:54	ga_ls8c_ard_3-2-0_109085_2021-03-29_final
2021-04-10 11:35:23	ga_ls8c_ard_3-2-0_113067_2021-04-10_final
2021-04-12 11:25:24	ga_ls8c_ard_3-2-0_111073_2021-04-12_final
2021-04-12 11:25:48	ga_ls8c_ard_3-2-0_111074_2021-04-12_final
2021-04-12 11:26:12	ga_ls8c_ard_3-2-0_111075_2021-04-12_final
2021-04-12 11:26:36	ga_ls8c_ard_3-2-0_111076_2021-04-12_final
2021-04-12 11:27:00	ga_ls8c_ard_3-2-0_111077_2021-04-12_final
2021-04-12 11:27:24	ga_ls8c_ard_3-2-0_111078_2021-04-12_final
2021-04-12 11:27:48	ga_ls8c_ard_3-2-0_111079_2021-04-12_final
2021-04-14 11:16:13	ga_ls8c_ard_3-2-0_109081_2021-04-14_final
2021-04-14 11:16:37	ga_ls8c_ard_3-2-0_109082_2021-04-14_final
2021-04-14 11:17:01	ga_ls8c_ard_3-2-0_109083_2021-04-14_final
2021-04-14 11:17:25	ga_ls8c_ard_3-2-0_109084_2021-04-14_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years