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
2014-03-01 11:21:20	ga_ls8c_ard_3-0-0_110076_2014-03-01_final
2014-03-01 11:21:44	ga_ls8c_ard_3-0-0_110077_2014-03-01_final
2014-03-01 11:22:08	ga_ls8c_ard_3-0-0_110078_2014-03-01_final
2014-03-01 11:22:32	ga_ls8c_ard_3-0-0_110079_2014-03-01_final
2014-03-01 11:22:56	ga_ls8c_ard_3-0-0_110080_2014-03-01_final
2014-03-01 11:23:20	ga_ls8c_ard_3-0-0_110081_2014-03-01_final
2014-03-01 11:23:44	ga_ls8c_ard_3-0-0_110082_2014-03-01_final
2014-03-03 11:12:07	ga_ls8c_ard_3-0-0_108084_2014-03-03_final
2014-03-17 11:21:11	ga_ls8c_ard_3-0-0_110076_2014-03-17_final
2014-03-17 11:21:35	ga_ls8c_ard_3-0-0_110077_2014-03-17_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
2014-03-19 11:11:59	ga_ls8c_ard_3-0-0_108084_2014-03-19_final
2014-04-16 11:29:25	ga_ls8c_ard_3-0-0_112067_2014-04-16_final
2014-04-16 11:30:37	ga_ls8c_ard_3-0-0_112070_2014-04-16_final
2014-04-16 11:31:01	ga_ls8c_ard_3-0-0_112071_2014-04-16_final
2014-04-16 11:31:25	ga_ls8c_ard_3-0-0_112072_2014-04-16_final
2014-04-16 11:31:49	ga_ls8c_ard_3-0-0_112073_2014-04-16_final
2020-10-18 11:25:37	ga_ls8c_ard_3-1-0_111072_2020-10-18_final
2020-10-18 11:26:01	ga_ls8c_ard_3-1-0_111073_2020-10-18_final
2020-10-18 11:26:25	ga_ls8c_ard_3-1-0_111074_2020-10-18_final
2020-10-18 11:26:49	ga_ls8c_ard_3-1-0_111075_2020-10-18_final
2020-10-18 11:27:13	ga_ls8c_ard_3-1-0_111076_2020-10-18_final
2020-10-18 11:27:37	ga_ls8c_ard_3-1-0_111077_2020-10-18_final
2020-10-20 11:16:51	ga_ls8c_ard_3-1-0_109081_2020-10-20_final
2020-10-20 11:17:15	ga_ls8c_ard_3-1-0_109082_2020-10-20_final
2020-10-20 11:17:39	ga_ls8c_ard_3-1-0_109083_2020-10-20_final
2020-10-20 11:18:03	ga_ls8c_ard_3-1-0_109084_2020-10-20_final
2020-10-20 11:18:27	ga_ls8c_ard_3-1-0_109085_2020-10-20_final
2020-10-29 11:11:52	ga_ls8c_ard_3-1-0_108084_2020-10-29_final
2020-10-29 11:12:15	ga_ls8c_ard_3-1-0_108085_2020-10-29_final
2020-11-01 11:35:58	ga_ls8c_ard_3-1-0_113067_2020-11-01_final
2020-11-10 11:29:45	ga_ls8c_ard_3-1-0_112067_2020-11-10_final
2020-11-10 11:30:09	ga_ls8c_ard_3-1-0_112068_2020-11-10_final
2020-11-10 11:30:33	ga_ls8c_ard_3-1-0_112069_2020-11-10_final
2020-11-10 11:30:57	ga_ls8c_ard_3-1-0_112070_2020-11-10_final
2020-11-10 11:31:21	ga_ls8c_ard_3-1-0_112071_2020-11-10_final
2020-11-10 11:31:45	ga_ls8c_ard_3-1-0_112072_2020-11-10_final
2020-11-10 11:32:09	ga_ls8c_ard_3-1-0_112073_2020-11-10_final
2020-11-12 11:20:58	ga_ls8c_ard_3-1-0_110076_2020-11-12_final
2020-11-12 11:21:22	ga_ls8c_ard_3-1-0_110077_2020-11-12_final
2020-11-12 11:21:46	ga_ls8c_ard_3-1-0_110078_2020-11-12_final
2020-11-12 11:22:10	ga_ls8c_ard_3-1-0_110079_2020-11-12_final
2020-11-12 11:22:34	ga_ls8c_ard_3-1-0_110080_2020-11-12_final
2020-11-12 11:22:58	ga_ls8c_ard_3-1-0_110081_2020-11-12_final
2020-11-12 11:23:22	ga_ls8c_ard_3-1-0_110082_2020-11-12_final
2020-11-19 11:25:36	ga_ls8c_ard_3-1-0_111072_2020-11-19_final
2020-11-19 11:26:00	ga_ls8c_ard_3-1-0_111073_2020-11-19_final
2020-11-19 11:26:23	ga_ls8c_ard_3-1-0_111074_2020-11-19_final
2020-11-19 11:26:47	ga_ls8c_ard_3-1-0_111075_2020-11-19_final
2020-11-19 11:27:11	ga_ls8c_ard_3-1-0_111076_2020-11-19_final
2020-11-19 11:27:35	ga_ls8c_ard_3-1-0_111077_2020-11-19_final
2020-11-21 11:16:50	ga_ls8c_ard_3-1-0_109081_2020-11-21_final
2020-11-21 11:17:14	ga_ls8c_ard_3-1-0_109082_2020-11-21_final
2020-11-21 11:17:38	ga_ls8c_ard_3-1-0_109083_2020-11-21_final
2020-11-21 11:18:02	ga_ls8c_ard_3-1-0_109084_2020-11-21_final
2020-11-21 11:18:26	ga_ls8c_ard_3-1-0_109085_2020-11-21_final
2020-12-03 11:36:00	ga_ls8c_ard_3-1-0_113067_2020-12-03_final
2020-12-07 11:16:52	ga_ls8c_ard_3-1-0_109081_2020-12-07_final
2020-12-07 11:17:16	ga_ls8c_ard_3-1-0_109082_2020-12-07_final
2020-12-07 11:17:40	ga_ls8c_ard_3-1-0_109083_2020-12-07_final
2020-12-07 11:18:04	ga_ls8c_ard_3-1-0_109084_2020-12-07_final
2020-12-07 11:18:28	ga_ls8c_ard_3-1-0_109085_2020-12-07_final
2020-12-12 11:29:49	ga_ls8c_ard_3-1-0_112067_2020-12-12_final
2020-12-12 11:30:13	ga_ls8c_ard_3-1-0_112068_2020-12-12_final
2020-12-12 11:30:37	ga_ls8c_ard_3-1-0_112069_2020-12-12_final
2020-12-12 11:31:01	ga_ls8c_ard_3-1-0_112070_2020-12-12_final
2020-12-12 11:31:25	ga_ls8c_ard_3-1-0_112071_2020-12-12_final
2020-12-12 11:31:49	ga_ls8c_ard_3-1-0_112072_2020-12-12_final
2020-12-12 11:32:13	ga_ls8c_ard_3-1-0_112073_2020-12-12_final
2020-12-14 11:21:03	ga_ls8c_ard_3-1-0_110076_2020-12-14_final
2020-12-14 11:21:27	ga_ls8c_ard_3-1-0_110077_2020-12-14_final
2020-12-14 11:21:51	ga_ls8c_ard_3-1-0_110078_2020-12-14_final
2020-12-14 11:22:15	ga_ls8c_ard_3-1-0_110079_2020-12-14_final
2020-12-14 11:22:39	ga_ls8c_ard_3-1-0_110080_2020-12-14_final
2020-12-14 11:23:03	ga_ls8c_ard_3-1-0_110081_2020-12-14_final
2020-12-14 11:23:27	ga_ls8c_ard_3-1-0_110082_2020-12-14_final
2021-01-24 11:16:40	ga_ls8c_ard_3-2-0_109081_2021-01-24_final
2021-01-24 11:17:03	ga_ls8c_ard_3-2-0_109082_2021-01-24_final
2021-01-24 11:17:27	ga_ls8c_ard_3-2-0_109083_2021-01-24_final
2021-01-24 11:17:51	ga_ls8c_ard_3-2-0_109084_2021-01-24_final
2021-01-24 11:18:15	ga_ls8c_ard_3-2-0_109085_2021-01-24_final
2021-02-05 11:35:46	ga_ls8c_ard_3-2-0_113067_2021-02-05_final
2021-02-09 11:18:13	ga_ls8c_ard_3-2-0_109085_2021-02-09_final
2021-02-14 11:29:33	ga_ls8c_ard_3-2-0_112067_2021-02-14_final
2021-02-14 11:29:57	ga_ls8c_ard_3-2-0_112068_2021-02-14_final
2021-02-14 11:30:21	ga_ls8c_ard_3-2-0_112069_2021-02-14_final
2021-02-14 11:30:45	ga_ls8c_ard_3-2-0_112070_2021-02-14_final
2021-02-14 11:31:09	ga_ls8c_ard_3-2-0_112071_2021-02-14_final
2021-02-14 11:31:33	ga_ls8c_ard_3-2-0_112072_2021-02-14_final
2021-02-14 11:31:57	ga_ls8c_ard_3-2-0_112073_2021-02-14_final
2021-02-16 11:20:46	ga_ls8c_ard_3-2-0_110076_2021-02-16_final
2021-02-16 11:21:10	ga_ls8c_ard_3-2-0_110077_2021-02-16_final
2021-02-16 11:21:34	ga_ls8c_ard_3-2-0_110078_2021-02-16_final
2021-02-16 11:21:58	ga_ls8c_ard_3-2-0_110079_2021-02-16_final
2021-02-16 11:22:22	ga_ls8c_ard_3-2-0_110080_2021-02-16_final
2021-02-16 11:22:46	ga_ls8c_ard_3-2-0_110081_2021-02-16_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