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
2016-05-14 11:37:11	ga_ls8c_ard_3-0-0_113072_2016-05-14_final
2016-05-14 11:37:35	ga_ls8c_ard_3-0-0_113073_2016-05-14_final
2016-05-14 11:37:59	ga_ls8c_ard_3-0-0_113074_2016-05-14_final
2016-05-14 11:38:23	ga_ls8c_ard_3-0-0_113075_2016-05-14_final
2016-05-14 11:38:47	ga_ls8c_ard_3-0-0_113076_2016-05-14_final
2016-05-14 11:39:11	ga_ls8c_ard_3-0-0_113077_2016-05-14_final
2016-05-14 11:39:35	ga_ls8c_ard_3-0-0_113078_2016-05-14_final
2016-05-16 11:28:26	ga_ls8c_ard_3-0-0_111081_2016-05-16_final
2016-05-16 11:28:50	ga_ls8c_ard_3-0-0_111082_2016-05-16_final
2016-05-16 11:29:14	ga_ls8c_ard_3-0-0_111083_2016-05-16_final
2016-05-16 11:29:38	ga_ls8c_ard_3-0-0_111084_2016-05-16_final
2016-05-16 11:30:02	ga_ls8c_ard_3-0-0_111085_2016-05-16_final
2016-05-21 11:41:26	ga_ls8c_ard_3-0-0_114067_2016-05-21_final
2016-06-10 11:23:59	ga_ls8c_ard_3-0-0_110085_2016-06-10_final
2016-07-12 11:24:14	ga_ls8c_ard_3-0-0_110085_2016-07-12_final
2016-08-02 11:37:40	ga_ls8c_ard_3-0-0_113072_2016-08-02_final
2016-08-02 11:38:04	ga_ls8c_ard_3-1-0_113073_2016-08-02_final
2016-08-02 11:38:28	ga_ls8c_ard_3-0-0_113074_2016-08-02_final
2016-08-02 11:38:52	ga_ls8c_ard_3-0-0_113075_2016-08-02_final
2016-08-02 11:39:16	ga_ls8c_ard_3-0-0_113076_2016-08-02_final
2016-08-02 11:39:40	ga_ls8c_ard_3-0-0_113077_2016-08-02_final
2016-08-02 11:40:04	ga_ls8c_ard_3-0-0_113078_2016-08-02_final
2016-08-04 11:28:54	ga_ls8c_ard_3-0-0_111081_2016-08-04_final
2016-08-04 11:29:18	ga_ls8c_ard_3-0-0_111082_2016-08-04_final
2016-08-04 11:29:42	ga_ls8c_ard_3-0-0_111083_2016-08-04_final
2016-08-04 11:30:06	ga_ls8c_ard_3-0-0_111084_2016-08-04_final
2016-08-04 11:30:30	ga_ls8c_ard_3-0-0_111085_2016-08-04_final
2016-08-29 11:24:28	ga_ls8c_ard_3-0-0_110085_2016-08-29_final
2018-02-22 11:33:13	ga_ls8c_ard_3-0-0_112077_2018-02-22_final
2018-02-22 11:33:37	ga_ls8c_ard_3-0-0_112078_2018-02-22_final
2018-02-22 11:34:01	ga_ls8c_ard_3-0-0_112079_2018-02-22_final
2018-02-22 11:34:25	ga_ls8c_ard_3-0-0_112080_2018-02-22_final
2018-02-22 11:34:49	ga_ls8c_ard_3-0-0_112081_2018-02-22_final
2018-02-22 11:35:13	ga_ls8c_ard_3-0-0_112082_2018-02-22_final
2018-02-24 11:24:02	ga_ls8c_ard_3-0-0_110085_2018-02-24_final
2018-03-01 11:37:21	ga_ls8c_ard_3-0-0_113072_2018-03-01_final
2018-03-01 11:37:45	ga_ls8c_ard_3-1-0_113073_2018-03-01_final
2018-03-01 11:38:09	ga_ls8c_ard_3-0-0_113074_2018-03-01_final
2018-03-01 11:38:33	ga_ls8c_ard_3-0-0_113075_2018-03-01_final
2018-03-01 11:38:57	ga_ls8c_ard_3-0-0_113076_2018-03-01_final
2018-03-01 11:39:21	ga_ls8c_ard_3-0-0_113077_2018-03-01_final
2018-03-01 11:39:45	ga_ls8c_ard_3-0-0_113078_2018-03-01_final
2018-03-03 11:28:34	ga_ls8c_ard_3-0-0_111081_2018-03-03_final
2018-03-03 11:28:58	ga_ls8c_ard_3-0-0_111082_2018-03-03_final
2018-03-03 11:29:22	ga_ls8c_ard_3-0-0_111083_2018-03-03_final
2018-03-03 11:29:46	ga_ls8c_ard_3-0-0_111084_2018-03-03_final
2018-03-03 11:30:10	ga_ls8c_ard_3-0-0_111085_2018-03-03_final
2018-04-02 11:37:05	ga_ls8c_ard_3-0-0_113072_2018-04-02_final
2018-04-02 11:37:29	ga_ls8c_ard_3-0-0_113073_2018-04-02_final
2018-04-02 11:37:53	ga_ls8c_ard_3-0-0_113074_2018-04-02_final
2018-04-04 11:28:18	ga_ls8c_ard_3-0-0_111081_2018-04-04_final
2018-04-04 11:28:42	ga_ls8c_ard_3-0-0_111082_2018-04-04_final
2018-04-04 11:29:06	ga_ls8c_ard_3-0-0_111083_2018-04-04_final
2018-04-04 11:29:30	ga_ls8c_ard_3-0-0_111084_2018-04-04_final
2018-04-04 11:29:54	ga_ls8c_ard_3-0-0_111085_2018-04-04_final
2018-05-20 11:36:36	ga_ls8c_ard_3-0-0_113072_2018-05-20_final
2018-05-20 11:37:00	ga_ls8c_ard_3-0-0_113073_2018-05-20_final
2018-05-20 11:37:24	ga_ls8c_ard_3-0-0_113074_2018-05-20_final
2018-05-20 11:37:48	ga_ls8c_ard_3-0-0_113075_2018-05-20_final
2018-05-20 11:38:12	ga_ls8c_ard_3-0-0_113076_2018-05-20_final
2018-05-20 11:38:36	ga_ls8c_ard_3-0-0_113077_2018-05-20_final
2018-05-20 11:39:00	ga_ls8c_ard_3-0-0_113078_2018-05-20_final
2018-05-22 11:27:48	ga_ls8c_ard_3-0-0_111081_2018-05-22_final
2018-05-22 11:28:12	ga_ls8c_ard_3-0-0_111082_2018-05-22_final
2018-05-22 11:28:36	ga_ls8c_ard_3-0-0_111083_2018-05-22_final
2018-05-22 11:29:00	ga_ls8c_ard_3-0-0_111084_2018-05-22_final
2018-05-22 11:29:24	ga_ls8c_ard_3-0-0_111085_2018-05-22_final
2018-07-07 11:36:45	ga_ls8c_ard_3-0-0_113072_2018-07-07_final
2018-07-07 11:37:09	ga_ls8c_ard_3-0-0_113073_2018-07-07_final
2018-07-07 11:37:33	ga_ls8c_ard_3-0-0_113074_2018-07-07_final
2018-07-07 11:37:57	ga_ls8c_ard_3-0-0_113075_2018-07-07_final
2018-07-07 11:38:21	ga_ls8c_ard_3-0-0_113076_2018-07-07_final
2018-07-07 11:38:45	ga_ls8c_ard_3-0-0_113077_2018-07-07_final
2018-07-07 11:39:09	ga_ls8c_ard_3-0-0_113078_2018-07-07_final
2018-07-09 11:28:00	ga_ls8c_ard_3-0-0_111081_2018-07-09_final
2018-07-09 11:28:24	ga_ls8c_ard_3-0-0_111082_2018-07-09_final
2018-07-09 11:28:48	ga_ls8c_ard_3-0-0_111083_2018-07-09_final
2018-07-09 11:29:12	ga_ls8c_ard_3-0-0_111084_2018-07-09_final
2018-07-09 11:29:36	ga_ls8c_ard_3-0-0_111085_2018-07-09_final
2018-07-18 11:23:29	ga_ls8c_ard_3-0-0_110085_2018-07-18_final
2019-07-10 11:37:35	ga_ls8c_ard_3-1-0_113072_2019-07-10_final
2019-07-10 11:37:59	ga_ls8c_ard_3-1-0_113073_2019-07-10_final
2019-07-10 11:38:23	ga_ls8c_ard_3-1-0_113074_2019-07-10_final
2019-07-10 11:38:47	ga_ls8c_ard_3-1-0_113075_2019-07-10_final
2019-07-10 11:39:11	ga_ls8c_ard_3-1-0_113076_2019-07-10_final
2019-07-10 11:39:35	ga_ls8c_ard_3-1-0_113077_2019-07-10_final
2019-07-10 11:39:58	ga_ls8c_ard_3-1-0_113078_2019-07-10_final
2019-08-27 11:37:50	ga_ls8c_ard_3-1-0_113072_2019-08-27_final
2019-08-27 11:38:14	ga_ls8c_ard_3-1-0_113073_2019-08-27_final
2019-08-27 11:38:38	ga_ls8c_ard_3-1-0_113074_2019-08-27_final
2019-08-27 11:39:02	ga_ls8c_ard_3-1-0_113075_2019-08-27_final
2019-08-27 11:39:26	ga_ls8c_ard_3-1-0_113076_2019-08-27_final
2019-08-27 11:39:50	ga_ls8c_ard_3-1-0_113077_2019-08-27_final
2019-08-27 11:40:14	ga_ls8c_ard_3-1-0_113078_2019-08-27_final
2019-11-15 11:38:00	ga_ls8c_ard_3-1-0_113072_2019-11-15_final
2019-11-15 11:38:24	ga_ls8c_ard_3-1-0_113073_2019-11-15_final
2019-11-15 11:38:48	ga_ls8c_ard_3-1-0_113074_2019-11-15_final
2019-11-15 11:39:12	ga_ls8c_ard_3-1-0_113075_2019-11-15_final
2019-11-15 11:39:35	ga_ls8c_ard_3-1-0_113076_2019-11-15_final
2019-11-15 11:39:59	ga_ls8c_ard_3-1-0_113077_2019-11-15_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