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
2014-07-23 11:21:23	ga_ls8c_ard_3-0-0_110078_2014-07-23_final
2014-07-23 11:21:47	ga_ls8c_ard_3-0-0_110079_2014-07-23_final
2014-07-23 11:22:10	ga_ls8c_ard_3-0-0_110080_2014-07-23_final
2014-07-23 11:22:34	ga_ls8c_ard_3-0-0_110081_2014-07-23_final
2014-07-23 11:22:58	ga_ls8c_ard_3-0-0_110082_2014-07-23_final
2014-07-23 11:23:22	ga_ls8c_ard_3-0-0_110083_2014-07-23_final
2014-08-13 11:35:43	ga_ls8c_ard_3-0-0_113067_2014-08-13_final
2014-09-07 11:30:24	ga_ls8c_ard_3-0-0_112069_2014-09-07_final
2014-09-07 11:30:48	ga_ls8c_ard_3-0-0_112070_2014-09-07_final
2014-09-07 11:31:12	ga_ls8c_ard_3-0-0_112071_2014-09-07_final
2014-09-07 11:31:36	ga_ls8c_ard_3-0-0_112072_2014-09-07_final
2014-09-07 11:32:00	ga_ls8c_ard_3-0-0_112073_2014-09-07_final
2014-09-07 11:32:24	ga_ls8c_ard_3-0-0_112074_2014-09-07_final
2014-09-09 11:21:39	ga_ls8c_ard_3-0-0_110078_2014-09-09_final
2014-09-09 11:22:02	ga_ls8c_ard_3-0-0_110079_2014-09-09_final
2014-09-09 11:22:26	ga_ls8c_ard_3-0-0_110080_2014-09-09_final
2014-09-09 11:22:50	ga_ls8c_ard_3-0-0_110081_2014-09-09_final
2014-09-09 11:23:14	ga_ls8c_ard_3-0-0_110082_2014-09-09_final
2014-09-09 11:23:38	ga_ls8c_ard_3-0-0_110083_2014-09-09_final
2014-09-16 11:25:49	ga_ls8c_ard_3-0-0_111073_2014-09-16_final
2014-09-16 11:26:13	ga_ls8c_ard_3-0-0_111074_2014-09-16_final
2014-09-16 11:26:37	ga_ls8c_ard_3-0-0_111075_2014-09-16_final
2014-09-16 11:27:01	ga_ls8c_ard_3-0-0_111076_2014-09-16_final
2014-09-16 11:27:25	ga_ls8c_ard_3-0-0_111077_2014-09-16_final
2014-09-16 11:27:49	ga_ls8c_ard_3-0-0_111078_2014-09-16_final
2014-09-16 11:28:13	ga_ls8c_ard_3-0-0_111079_2014-09-16_final
2014-11-03 11:25:53	ga_ls8c_ard_3-0-0_111073_2014-11-03_final
2014-11-03 11:26:17	ga_ls8c_ard_3-0-0_111074_2014-11-03_final
2014-11-03 11:26:41	ga_ls8c_ard_3-0-0_111075_2014-11-03_final
2014-11-03 11:27:05	ga_ls8c_ard_3-0-0_111076_2014-11-03_final
2014-11-03 11:27:29	ga_ls8c_ard_3-0-0_111077_2014-11-03_final
2014-11-03 11:27:53	ga_ls8c_ard_3-0-0_111078_2014-11-03_final
2014-11-03 11:28:17	ga_ls8c_ard_3-0-0_111079_2014-11-03_final
2014-11-05 11:17:08	ga_ls8c_ard_3-0-0_109082_2014-11-05_final
2014-11-05 11:17:32	ga_ls8c_ard_3-0-0_109083_2014-11-05_final
2014-11-05 11:17:56	ga_ls8c_ard_3-0-0_109084_2014-11-05_final
2014-11-19 11:25:52	ga_ls8c_ard_3-0-0_111073_2014-11-19_final
2014-11-19 11:26:16	ga_ls8c_ard_3-0-0_111074_2014-11-19_final
2014-11-19 11:26:40	ga_ls8c_ard_3-0-0_111075_2014-11-19_final
2014-11-19 11:27:03	ga_ls8c_ard_3-0-0_111076_2014-11-19_final
2014-11-19 11:27:27	ga_ls8c_ard_3-0-0_111077_2014-11-19_final
2014-11-19 11:27:51	ga_ls8c_ard_3-0-0_111078_2014-11-19_final
2014-11-19 11:28:15	ga_ls8c_ard_3-0-0_111079_2014-11-19_final
2017-04-10 11:21:00	ga_ls8c_ard_3-0-0_110078_2017-04-10_final
2017-04-10 11:21:24	ga_ls8c_ard_3-0-0_110079_2017-04-10_final
2017-04-10 11:21:48	ga_ls8c_ard_3-0-0_110080_2017-04-10_final
2017-04-10 11:22:12	ga_ls8c_ard_3-0-0_110081_2017-04-10_final
2017-04-10 11:22:36	ga_ls8c_ard_3-0-0_110082_2017-04-10_final
2017-05-10 11:29:38	ga_ls8c_ard_3-0-0_112069_2017-05-10_final
2017-05-10 11:30:02	ga_ls8c_ard_3-0-0_112070_2017-05-10_final
2017-05-10 11:30:26	ga_ls8c_ard_3-0-0_112071_2017-05-10_final
2017-05-10 11:30:50	ga_ls8c_ard_3-0-0_112072_2017-05-10_final
2017-05-10 11:31:14	ga_ls8c_ard_3-0-0_112073_2017-05-10_final
2017-05-10 11:31:38	ga_ls8c_ard_3-0-0_112074_2017-05-10_final
2017-05-12 11:20:54	ga_ls8c_ard_3-0-0_110078_2017-05-12_final
2017-05-12 11:21:18	ga_ls8c_ard_3-0-0_110079_2017-05-12_final
2017-05-12 11:21:42	ga_ls8c_ard_3-0-0_110080_2017-05-12_final
2017-05-12 11:22:05	ga_ls8c_ard_3-0-0_110081_2017-05-12_final
2017-05-12 11:22:29	ga_ls8c_ard_3-0-0_110082_2017-05-12_final
2017-05-12 11:22:53	ga_ls8c_ard_3-0-0_110083_2017-05-12_final
2017-06-11 11:29:57	ga_ls8c_ard_3-0-0_112069_2017-06-11_final
2017-06-11 11:30:21	ga_ls8c_ard_3-0-0_112070_2017-06-11_final
2017-06-11 11:30:45	ga_ls8c_ard_3-0-0_112071_2017-06-11_final
2017-06-11 11:31:09	ga_ls8c_ard_3-0-0_112072_2017-06-11_final
2017-06-11 11:31:33	ga_ls8c_ard_3-0-0_112073_2017-06-11_final
2017-06-11 11:31:57	ga_ls8c_ard_3-0-0_112074_2017-06-11_final
2017-06-13 11:21:12	ga_ls8c_ard_3-0-0_110078_2017-06-13_final
2017-06-13 11:21:35	ga_ls8c_ard_3-0-0_110079_2017-06-13_final
2017-06-13 11:21:59	ga_ls8c_ard_3-0-0_110080_2017-06-13_final
2017-06-13 11:22:23	ga_ls8c_ard_3-0-0_110081_2017-06-13_final
2017-06-13 11:22:47	ga_ls8c_ard_3-0-0_110082_2017-06-13_final
2017-06-13 11:23:11	ga_ls8c_ard_3-0-0_110083_2017-06-13_final
2020-07-05 11:30:05	ga_ls8c_ard_3-1-0_112069_2020-07-05_final
2020-07-05 11:30:29	ga_ls8c_ard_3-1-0_112070_2020-07-05_final
2020-07-05 11:30:53	ga_ls8c_ard_3-1-0_112071_2020-07-05_final
2020-07-05 11:31:17	ga_ls8c_ard_3-1-0_112072_2020-07-05_final
2020-07-05 11:31:40	ga_ls8c_ard_3-1-0_112073_2020-07-05_final
2020-07-05 11:32:04	ga_ls8c_ard_3-1-0_112074_2020-07-05_final
2020-08-06 11:30:14	ga_ls8c_ard_3-1-0_112069_2020-08-06_final
2020-08-06 11:30:38	ga_ls8c_ard_3-1-0_112070_2020-08-06_final
2020-08-06 11:31:02	ga_ls8c_ard_3-1-0_112071_2020-08-06_final
2020-08-06 11:31:26	ga_ls8c_ard_3-1-0_112072_2020-08-06_final
2020-08-06 11:31:50	ga_ls8c_ard_3-1-0_112073_2020-08-06_final
2020-08-06 11:32:14	ga_ls8c_ard_3-1-0_112074_2020-08-06_final
2020-08-15 11:25:42	ga_ls8c_ard_3-1-0_111073_2020-08-15_final
2020-08-15 11:26:06	ga_ls8c_ard_3-1-0_111074_2020-08-15_final
2020-08-15 11:26:30	ga_ls8c_ard_3-1-0_111075_2020-08-15_final
2020-08-15 11:26:54	ga_ls8c_ard_3-1-0_111076_2020-08-15_final
2020-08-15 11:27:17	ga_ls8c_ard_3-1-0_111077_2020-08-15_final
2020-08-15 11:27:41	ga_ls8c_ard_3-1-0_111078_2020-08-15_final
2020-08-15 11:28:05	ga_ls8c_ard_3-1-0_111079_2020-08-15_final
2020-08-17 11:16:57	ga_ls8c_ard_3-1-0_109082_2020-08-17_final
2020-08-17 11:17:21	ga_ls8c_ard_3-1-0_109083_2020-08-17_final
2020-08-17 11:17:45	ga_ls8c_ard_3-1-0_109084_2020-08-17_final
2020-08-17 11:18:09	ga_ls8c_ard_3-1-0_109085_2020-08-17_final
2020-09-07 11:30:28	ga_ls8c_ard_3-1-0_112069_2020-09-07_final
2020-09-07 11:30:52	ga_ls8c_ard_3-1-0_112070_2020-09-07_final
2020-09-07 11:31:16	ga_ls8c_ard_3-1-0_112071_2020-09-07_final
2020-09-07 11:31:40	ga_ls8c_ard_3-1-0_112072_2020-09-07_final
2020-09-07 11:32:04	ga_ls8c_ard_3-1-0_112073_2020-09-07_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