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
2014-02-18 11:36:29	ga_ls8c_ard_3-0-0_113067_2014-02-18_final
2014-02-20 11:26:53	ga_ls8c_ard_3-0-0_111074_2014-02-20_final
2014-02-20 11:27:17	ga_ls8c_ard_3-0-0_111075_2014-02-20_final
2014-02-20 11:27:41	ga_ls8c_ard_3-0-0_111076_2014-02-20_final
2014-02-20 11:28:05	ga_ls8c_ard_3-0-0_111077_2014-02-20_final
2014-02-20 11:28:29	ga_ls8c_ard_3-0-0_111078_2014-02-20_final
2014-02-20 11:28:53	ga_ls8c_ard_3-0-0_111079_2014-02-20_final
2014-02-22 11:17:41	ga_ls8c_ard_3-0-0_109082_2014-02-22_final
2014-02-22 11:18:05	ga_ls8c_ard_3-0-0_109083_2014-02-22_final
2014-02-22 11:18:29	ga_ls8c_ard_3-0-0_109084_2014-02-22_final
2014-03-17 11:21:59	ga_ls8c_ard_3-0-0_110078_2014-03-17_final
2014-03-17 11:22:23	ga_ls8c_ard_3-0-0_110079_2014-03-17_final
2014-03-17 11:22:47	ga_ls8c_ard_3-0-0_110080_2014-03-17_final
2014-03-17 11:23:11	ga_ls8c_ard_3-0-0_110081_2014-03-17_final
2014-03-17 11:23:35	ga_ls8c_ard_3-0-0_110082_2014-03-17_final
2014-03-17 11:23:59	ga_ls8c_ard_3-0-0_110083_2014-03-17_final
2014-03-22 11:36:03	ga_ls8c_ard_3-0-0_113067_2014-03-22_final
2014-03-24 11:26:26	ga_ls8c_ard_3-0-0_111074_2014-03-24_final
2014-03-24 11:26:50	ga_ls8c_ard_3-0-0_111075_2014-03-24_final
2014-03-24 11:27:14	ga_ls8c_ard_3-0-0_111076_2014-03-24_final
2014-03-24 11:27:37	ga_ls8c_ard_3-0-0_111077_2014-03-24_final
2014-03-24 11:28:01	ga_ls8c_ard_3-0-0_111078_2014-03-24_final
2014-03-24 11:28:25	ga_ls8c_ard_3-0-0_111079_2014-03-24_final
2014-06-05 11:21:09	ga_ls8c_ard_3-0-0_110078_2014-06-05_final
2014-06-05 11:21:33	ga_ls8c_ard_3-0-0_110079_2014-06-05_final
2014-06-05 11:21:57	ga_ls8c_ard_3-0-0_110080_2014-06-05_final
2014-06-05 11:22:20	ga_ls8c_ard_3-0-0_110081_2014-06-05_final
2014-06-05 11:22:44	ga_ls8c_ard_3-0-0_110082_2014-06-05_final
2014-07-05 11:30:05	ga_ls8c_ard_3-0-0_112069_2014-07-05_final
2014-07-05 11:30:29	ga_ls8c_ard_3-0-0_112070_2014-07-05_final
2014-07-05 11:30:53	ga_ls8c_ard_3-0-0_112071_2014-07-05_final
2014-07-05 11:31:17	ga_ls8c_ard_3-0-0_112072_2014-07-05_final
2014-07-05 11:31:41	ga_ls8c_ard_3-0-0_112073_2014-07-05_final
2014-07-05 11:32:05	ga_ls8c_ard_3-0-0_112074_2014-07-05_final
2014-07-05 11:32:29	ga_ls8c_ard_3-0-0_112075_2014-07-05_final
2019-01-26 11:21:17	ga_ls8c_ard_3-0-0_110078_2019-01-26_final
2019-01-26 11:21:41	ga_ls8c_ard_3-0-0_110079_2019-01-26_final
2019-01-26 11:22:05	ga_ls8c_ard_3-0-0_110080_2019-01-26_final
2019-01-26 11:22:29	ga_ls8c_ard_3-0-0_110081_2019-01-26_final
2019-01-26 11:22:53	ga_ls8c_ard_3-0-0_110082_2019-01-26_final
2019-01-26 11:23:17	ga_ls8c_ard_3-0-0_110083_2019-01-26_final
2019-02-16 11:35:24	ga_ls8c_ard_3-0-0_113067_2019-02-16_final
2019-05-07 11:35:08	ga_ls8c_ard_3-0-0_113067_2019-05-07_final
2019-05-23 11:35:18	ga_ls8c_ard_3-0-0_113067_2019-05-23_final
2019-12-19 11:26:22	ga_ls8c_ard_3-2-0_111074_2019-12-19_final
2019-12-19 11:26:46	ga_ls8c_ard_3-2-0_111075_2019-12-19_final
2019-12-19 11:27:10	ga_ls8c_ard_3-2-0_111076_2019-12-19_final
2019-12-19 11:27:34	ga_ls8c_ard_3-2-0_111077_2019-12-19_final
2019-12-19 11:27:58	ga_ls8c_ard_3-2-0_111078_2019-12-19_final
2019-12-19 11:28:22	ga_ls8c_ard_3-2-0_111079_2019-12-19_final
2020-01-02 11:35:52	ga_ls8c_ard_3-1-0_113067_2020-01-02_final
2020-02-14 11:21:32	ga_ls8c_ard_3-1-0_110078_2020-02-14_final
2020-02-14 11:21:56	ga_ls8c_ard_3-1-0_110079_2020-02-14_final
2020-02-14 11:22:20	ga_ls8c_ard_3-1-0_110080_2020-02-14_final
2020-02-14 11:22:44	ga_ls8c_ard_3-1-0_110081_2020-02-14_final
2020-02-14 11:23:08	ga_ls8c_ard_3-1-0_110082_2020-02-14_final
2020-02-14 11:23:32	ga_ls8c_ard_3-1-0_110083_2020-02-14_final
2020-06-21 11:21:12	ga_ls8c_ard_3-1-0_110078_2020-06-21_final
2020-06-21 11:21:36	ga_ls8c_ard_3-1-0_110079_2020-06-21_final
2020-06-21 11:22:00	ga_ls8c_ard_3-1-0_110080_2020-06-21_final
2020-06-21 11:22:24	ga_ls8c_ard_3-1-0_110081_2020-06-21_final
2020-06-21 11:22:48	ga_ls8c_ard_3-1-0_110082_2020-06-21_final
2020-06-21 11:23:12	ga_ls8c_ard_3-1-0_110083_2020-06-21_final
2020-06-30 11:16:41	ga_ls8c_ard_3-1-0_109082_2020-06-30_final
2020-06-30 11:17:05	ga_ls8c_ard_3-1-0_109083_2020-06-30_final
2020-06-30 11:17:29	ga_ls8c_ard_3-1-0_109084_2020-06-30_final
2020-06-30 11:17:53	ga_ls8c_ard_3-1-0_109085_2020-06-30_final
2020-07-07 11:21:19	ga_ls8c_ard_3-1-0_110078_2020-07-07_final
2020-07-07 11:21:43	ga_ls8c_ard_3-1-0_110079_2020-07-07_final
2020-07-07 11:22:07	ga_ls8c_ard_3-1-0_110080_2020-07-07_final
2020-07-07 11:22:31	ga_ls8c_ard_3-1-0_110081_2020-07-07_final
2020-07-07 11:22:55	ga_ls8c_ard_3-1-0_110082_2020-07-07_final
2020-07-07 11:23:19	ga_ls8c_ard_3-1-0_110083_2020-07-07_final
2020-07-16 11:16:48	ga_ls8c_ard_3-1-0_109082_2020-07-16_final
2020-07-16 11:17:12	ga_ls8c_ard_3-1-0_109083_2020-07-16_final
2020-07-16 11:17:35	ga_ls8c_ard_3-1-0_109084_2020-07-16_final
2020-07-16 11:17:59	ga_ls8c_ard_3-1-0_109085_2020-07-16_final
2020-07-28 11:35:35	ga_ls8c_ard_3-1-0_113067_2020-07-28_final
2020-09-09 11:21:43	ga_ls8c_ard_3-1-0_110078_2020-09-09_final
2020-09-09 11:22:07	ga_ls8c_ard_3-1-0_110079_2020-09-09_final
2020-09-09 11:22:31	ga_ls8c_ard_3-1-0_110080_2020-09-09_final
2020-09-09 11:22:54	ga_ls8c_ard_3-1-0_110081_2020-09-09_final
2020-09-09 11:23:18	ga_ls8c_ard_3-1-0_110082_2020-09-09_final
2020-09-09 11:23:42	ga_ls8c_ard_3-1-0_110083_2020-09-09_final
2020-09-18 11:17:11	ga_ls8c_ard_3-1-0_109082_2020-09-18_final
2020-09-18 11:17:35	ga_ls8c_ard_3-1-0_109083_2020-09-18_final
2020-09-18 11:17:59	ga_ls8c_ard_3-1-0_109084_2020-09-18_final
2020-09-18 11:18:23	ga_ls8c_ard_3-1-0_109085_2020-09-18_final
2020-09-23 11:30:33	ga_ls8c_ard_3-1-0_112069_2020-09-23_final
2020-09-23 11:30:57	ga_ls8c_ard_3-1-0_112070_2020-09-23_final
2020-09-23 11:31:21	ga_ls8c_ard_3-1-0_112071_2020-09-23_final
2020-09-23 11:31:45	ga_ls8c_ard_3-1-0_112072_2020-09-23_final
2020-09-23 11:32:09	ga_ls8c_ard_3-1-0_112073_2020-09-23_final
2020-09-23 11:32:33	ga_ls8c_ard_3-1-0_112074_2020-09-23_final
2020-09-25 11:21:48	ga_ls8c_ard_3-1-0_110078_2020-09-25_final
2020-09-25 11:22:12	ga_ls8c_ard_3-1-0_110079_2020-09-25_final
2020-09-25 11:22:35	ga_ls8c_ard_3-1-0_110080_2020-09-25_final
2020-09-25 11:22:59	ga_ls8c_ard_3-1-0_110081_2020-09-25_final
2020-09-25 11:23:23	ga_ls8c_ard_3-1-0_110082_2020-09-25_final
2020-09-25 11:23:47	ga_ls8c_ard_3-1-0_110083_2020-09-25_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