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
2018-03-08 11:41:28	ga_ls8c_ard_3-0-0_114067_2018-03-08_final
2018-03-28 11:22:11	ga_ls8c_ard_3-0-0_110081_2018-03-28_final
2018-03-28 11:22:35	ga_ls8c_ard_3-0-0_110082_2018-03-28_final
2018-03-28 11:22:59	ga_ls8c_ard_3-0-0_110083_2018-03-28_final
2018-03-28 11:23:22	ga_ls8c_ard_3-0-0_110084_2018-03-28_final
2018-03-28 11:23:46	ga_ls8c_ard_3-0-0_110085_2018-03-28_final
2018-04-13 11:22:02	ga_ls8c_ard_3-0-0_110081_2018-04-13_final
2018-04-13 11:22:26	ga_ls8c_ard_3-0-0_110082_2018-04-13_final
2018-04-13 11:22:50	ga_ls8c_ard_3-0-0_110083_2018-04-13_final
2018-04-13 11:23:14	ga_ls8c_ard_3-0-0_110084_2018-04-13_final
2018-04-13 11:23:38	ga_ls8c_ard_3-0-0_110085_2018-04-13_final
2018-04-27 11:30:40	ga_ls8c_ard_3-0-0_112072_2018-04-27_final
2018-04-27 11:31:04	ga_ls8c_ard_3-0-0_112073_2018-04-27_final
2018-04-27 11:31:28	ga_ls8c_ard_3-0-0_112074_2018-04-27_final
2018-04-27 11:31:52	ga_ls8c_ard_3-0-0_112075_2018-04-27_final
2018-04-27 11:32:16	ga_ls8c_ard_3-0-0_112076_2018-04-27_final
2018-04-27 11:32:40	ga_ls8c_ard_3-0-0_112077_2018-04-27_final
2018-04-27 11:33:04	ga_ls8c_ard_3-0-0_112078_2018-04-27_final
2018-04-29 11:21:53	ga_ls8c_ard_3-0-0_110081_2018-04-29_final
2018-04-29 11:22:17	ga_ls8c_ard_3-0-0_110082_2018-04-29_final
2018-04-29 11:22:41	ga_ls8c_ard_3-0-0_110083_2018-04-29_final
2018-04-29 11:23:05	ga_ls8c_ard_3-0-0_110084_2018-04-29_final
2018-04-29 11:23:29	ga_ls8c_ard_3-0-0_110085_2018-04-29_final
2018-05-31 11:21:30	ga_ls8c_ard_3-0-0_110081_2018-05-31_final
2018-05-31 11:21:54	ga_ls8c_ard_3-0-0_110082_2018-05-31_final
2018-05-31 11:22:18	ga_ls8c_ard_3-0-0_110083_2018-05-31_final
2018-05-31 11:22:42	ga_ls8c_ard_3-0-0_110084_2018-05-31_final
2018-05-31 11:23:06	ga_ls8c_ard_3-0-0_110085_2018-05-31_final
2018-07-16 11:30:39	ga_ls8c_ard_3-0-0_112072_2018-07-16_final
2018-07-16 11:31:02	ga_ls8c_ard_3-0-0_112073_2018-07-16_final
2018-07-16 11:31:26	ga_ls8c_ard_3-0-0_112074_2018-07-16_final
2018-07-16 11:31:50	ga_ls8c_ard_3-0-0_112075_2018-07-16_final
2018-07-16 11:32:14	ga_ls8c_ard_3-0-0_112076_2018-07-16_final
2018-07-16 11:32:38	ga_ls8c_ard_3-0-0_112077_2018-07-16_final
2018-07-16 11:33:02	ga_ls8c_ard_3-0-0_112078_2018-07-16_final
2020-06-03 11:30:59	ga_ls8c_ard_3-1-0_112072_2020-06-03_final
2020-06-03 11:31:23	ga_ls8c_ard_3-1-0_112073_2020-06-03_final
2020-06-03 11:31:47	ga_ls8c_ard_3-1-0_112074_2020-06-03_final
2020-06-03 11:32:11	ga_ls8c_ard_3-1-0_112075_2020-06-03_final
2020-06-03 11:32:35	ga_ls8c_ard_3-1-0_112076_2020-06-03_final
2020-06-10 11:35:15	ga_ls8c_ard_3-1-0_113067_2020-06-10_final
2020-06-10 11:37:15	ga_ls8c_ard_3-1-0_113072_2020-06-10_final
2020-06-10 11:37:39	ga_ls8c_ard_3-1-0_113073_2020-06-10_final
2020-06-17 11:41:30	ga_ls8c_ard_3-1-0_114067_2020-06-17_final
2020-06-19 11:31:09	ga_ls8c_ard_3-1-0_112072_2020-06-19_final
2020-06-19 11:31:33	ga_ls8c_ard_3-1-0_112073_2020-06-19_final
2020-06-19 11:31:57	ga_ls8c_ard_3-1-0_112074_2020-06-19_final
2020-06-19 11:32:21	ga_ls8c_ard_3-1-0_112075_2020-06-19_final
2020-06-19 11:32:45	ga_ls8c_ard_3-1-0_112076_2020-06-19_final
2020-06-19 11:33:09	ga_ls8c_ard_3-1-0_112077_2020-06-19_final
2020-06-19 11:33:33	ga_ls8c_ard_3-1-0_112078_2020-06-19_final
2020-06-26 11:35:24	ga_ls8c_ard_3-1-0_113067_2020-06-26_final
2020-06-26 11:37:23	ga_ls8c_ard_3-1-0_113072_2020-06-26_final
2020-06-26 11:37:47	ga_ls8c_ard_3-1-0_113073_2020-06-26_final
2020-07-12 11:35:30	ga_ls8c_ard_3-1-0_113067_2020-07-12_final
2020-07-12 11:37:30	ga_ls8c_ard_3-1-0_113072_2020-07-12_final
2020-07-12 11:37:54	ga_ls8c_ard_3-1-0_113073_2020-07-12_final
2020-07-19 11:41:44	ga_ls8c_ard_3-1-0_114067_2020-07-19_final
2020-07-21 11:31:22	ga_ls8c_ard_3-1-0_112072_2020-07-21_final
2020-07-21 11:31:46	ga_ls8c_ard_3-1-0_112073_2020-07-21_final
2020-07-21 11:32:10	ga_ls8c_ard_3-1-0_112074_2020-07-21_final
2020-07-21 11:32:34	ga_ls8c_ard_3-1-0_112075_2020-07-21_final
2020-07-21 11:32:58	ga_ls8c_ard_3-1-0_112076_2020-07-21_final
2020-07-21 11:33:22	ga_ls8c_ard_3-1-0_112077_2020-07-21_final
2020-07-21 11:33:46	ga_ls8c_ard_3-1-0_112078_2020-07-21_final
2020-07-23 11:22:37	ga_ls8c_ard_3-1-0_110081_2020-07-23_final
2020-07-23 11:23:01	ga_ls8c_ard_3-1-0_110082_2020-07-23_final
2020-07-23 11:23:24	ga_ls8c_ard_3-1-0_110083_2020-07-23_final
2020-07-23 11:23:48	ga_ls8c_ard_3-1-0_110084_2020-07-23_final
2020-07-23 11:24:12	ga_ls8c_ard_3-1-0_110085_2020-07-23_final
2020-08-13 11:35:39	ga_ls8c_ard_3-1-0_113067_2020-08-13_final
2020-08-13 11:37:38	ga_ls8c_ard_3-1-0_113072_2020-08-13_final
2020-08-13 11:38:02	ga_ls8c_ard_3-1-0_113073_2020-08-13_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
2020-09-07 11:32:28	ga_ls8c_ard_3-1-0_112074_2020-09-07_final
2020-09-07 11:32:52	ga_ls8c_ard_3-1-0_112075_2020-09-07_final
2020-09-07 11:33:16	ga_ls8c_ard_3-1-0_112076_2020-09-07_final
2020-09-07 11:33:40	ga_ls8c_ard_3-1-0_112077_2020-09-07_final
2020-09-07 11:34:04	ga_ls8c_ard_3-1-0_112078_2020-09-07_final
2020-10-04 11:18:02	ga_ls8c_ard_3-1-0_109084_2020-10-04_final
2020-10-04 11:18:26	ga_ls8c_ard_3-1-0_109085_2020-10-04_final
2020-10-07 11:42:10	ga_ls8c_ard_3-1-0_114067_2020-10-07_final
2020-10-09 11:31:48	ga_ls8c_ard_3-1-0_112072_2020-10-09_final
2020-10-09 11:32:12	ga_ls8c_ard_3-1-0_112073_2020-10-09_final
2020-10-09 11:32:36	ga_ls8c_ard_3-1-0_112074_2020-10-09_final
2020-10-09 11:33:00	ga_ls8c_ard_3-1-0_112075_2020-10-09_final
2020-10-09 11:33:24	ga_ls8c_ard_3-1-0_112076_2020-10-09_final
2020-10-09 11:33:48	ga_ls8c_ard_3-1-0_112077_2020-10-09_final
2020-10-09 11:34:11	ga_ls8c_ard_3-1-0_112078_2020-10-09_final
2020-10-23 11:42:10	ga_ls8c_ard_3-1-0_114067_2020-10-23_final
2020-10-25 11:31:48	ga_ls8c_ard_3-1-0_112072_2020-10-25_final
2020-10-25 11:32:12	ga_ls8c_ard_3-1-0_112073_2020-10-25_final
2020-10-25 11:32:36	ga_ls8c_ard_3-1-0_112074_2020-10-25_final
2020-10-25 11:33:00	ga_ls8c_ard_3-1-0_112075_2020-10-25_final
2020-10-25 11:33:24	ga_ls8c_ard_3-1-0_112076_2020-10-25_final
2020-10-25 11:33:48	ga_ls8c_ard_3-1-0_112077_2020-10-25_final
2020-10-25 11:34:12	ga_ls8c_ard_3-1-0_112078_2020-10-25_final
2020-12-03 11:36:00	ga_ls8c_ard_3-1-0_113067_2020-12-03_final
2020-12-03 11:38:00	ga_ls8c_ard_3-1-0_113072_2020-12-03_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