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
2014-07-19 10:07:13	ga_ls8c_ard_3-0-0_098078_2014-07-19_final
2014-07-19 10:07:37	ga_ls8c_ard_3-0-0_098079_2014-07-19_final
2014-07-19 10:08:01	ga_ls8c_ard_3-0-0_098080_2014-07-19_final
2014-07-19 10:08:25	ga_ls8c_ard_3-0-0_098081_2014-07-19_final
2014-07-19 10:08:49	ga_ls8c_ard_3-0-0_098082_2014-07-19_final
2014-07-19 10:09:12	ga_ls8c_ard_3-0-0_098083_2014-07-19_final
2014-07-21 09:57:39	ga_ls8c_ard_3-0-0_096085_2014-07-21_final
2014-07-21 09:58:03	ga_ls8c_ard_3-0-0_096086_2014-07-21_final
2014-07-26 10:11:25	ga_ls8c_ard_3-0-0_099073_2014-07-26_final
2014-07-26 10:11:49	ga_ls8c_ard_3-0-0_099074_2014-07-26_final
2014-07-26 10:12:13	ga_ls8c_ard_3-0-0_099075_2014-07-26_final
2014-07-26 10:12:37	ga_ls8c_ard_3-0-0_099076_2014-07-26_final
2014-07-26 10:13:01	ga_ls8c_ard_3-0-0_099077_2014-07-26_final
2014-07-26 10:13:25	ga_ls8c_ard_3-0-0_099078_2014-07-26_final
2014-07-26 10:13:48	ga_ls8c_ard_3-0-0_099079_2014-07-26_final
2014-09-12 10:11:40	ga_ls8c_ard_3-0-0_099073_2014-09-12_final
2014-09-12 10:12:04	ga_ls8c_ard_3-0-0_099074_2014-09-12_final
2014-09-12 10:12:28	ga_ls8c_ard_3-0-0_099075_2014-09-12_final
2014-09-12 10:12:52	ga_ls8c_ard_3-0-0_099076_2014-09-12_final
2014-09-12 10:13:16	ga_ls8c_ard_3-0-0_099077_2014-09-12_final
2014-09-12 10:13:40	ga_ls8c_ard_3-0-0_099078_2014-09-12_final
2014-09-12 10:14:04	ga_ls8c_ard_3-0-0_099079_2014-09-12_final
2014-09-28 10:11:39	ga_ls8c_ard_3-0-0_099073_2014-09-28_final
2014-09-28 10:12:03	ga_ls8c_ard_3-0-0_099074_2014-09-28_final
2014-09-28 10:12:26	ga_ls8c_ard_3-0-0_099075_2014-09-28_final
2014-09-28 10:12:50	ga_ls8c_ard_3-0-0_099076_2014-09-28_final
2014-09-28 10:13:14	ga_ls8c_ard_3-0-0_099077_2014-09-28_final
2014-09-28 10:13:38	ga_ls8c_ard_3-0-0_099078_2014-09-28_final
2014-09-28 10:14:02	ga_ls8c_ard_3-0-0_099079_2014-09-28_final
2014-10-07 10:07:32	ga_ls8c_ard_3-0-0_098078_2014-10-07_final
2014-10-07 10:07:56	ga_ls8c_ard_3-0-0_098079_2014-10-07_final
2014-10-07 10:08:20	ga_ls8c_ard_3-0-0_098080_2014-10-07_final
2014-10-07 10:08:44	ga_ls8c_ard_3-0-0_098081_2014-10-07_final
2014-10-07 10:09:08	ga_ls8c_ard_3-0-0_098082_2014-10-07_final
2014-10-07 10:09:32	ga_ls8c_ard_3-0-0_098083_2014-10-07_final
2014-10-09 09:57:58	ga_ls8c_ard_3-0-0_096085_2014-10-09_final
2014-10-09 09:58:22	ga_ls8c_ard_3-0-0_096086_2014-10-09_final
2014-12-08 10:17:50	ga_ls8c_ard_3-0-0_100073_2014-12-08_final
2014-12-08 10:18:14	ga_ls8c_ard_3-0-0_100074_2014-12-08_final
2014-12-10 10:07:26	ga_ls8c_ard_3-0-0_098078_2014-12-10_final
2014-12-10 10:07:50	ga_ls8c_ard_3-0-0_098079_2014-12-10_final
2014-12-10 10:08:14	ga_ls8c_ard_3-0-0_098080_2014-12-10_final
2014-12-10 10:08:38	ga_ls8c_ard_3-0-0_098081_2014-12-10_final
2014-12-10 10:09:02	ga_ls8c_ard_3-0-0_098082_2014-12-10_final
2014-12-10 10:09:26	ga_ls8c_ard_3-0-0_098083_2014-12-10_final
2014-12-12 09:57:50	ga_ls8c_ard_3-0-0_096085_2014-12-12_final
2014-12-12 09:58:14	ga_ls8c_ard_3-0-0_096086_2014-12-12_final
2015-08-09 09:57:25	ga_ls8c_ard_3-0-0_096085_2015-08-09_final
2015-08-09 09:57:49	ga_ls8c_ard_3-0-0_096086_2015-08-09_final
2015-08-09 09:58:13	ga_ls8c_ard_3-0-0_096087_2015-08-09_final
2015-08-23 10:07:06	ga_ls8c_ard_3-0-0_098078_2015-08-23_final
2015-08-23 10:07:30	ga_ls8c_ard_3-0-0_098079_2015-08-23_final
2015-08-23 10:07:54	ga_ls8c_ard_3-0-0_098080_2015-08-23_final
2015-08-23 10:08:18	ga_ls8c_ard_3-0-0_098081_2015-08-23_final
2015-08-23 10:08:42	ga_ls8c_ard_3-0-0_098082_2015-08-23_final
2015-08-23 10:09:06	ga_ls8c_ard_3-0-0_098083_2015-08-23_final
2015-08-25 09:57:33	ga_ls8c_ard_3-0-0_096085_2015-08-25_final
2015-08-25 09:57:57	ga_ls8c_ard_3-0-0_096086_2015-08-25_final
2015-08-25 09:58:21	ga_ls8c_ard_3-0-0_096087_2015-08-25_final
2015-11-25 10:15:52	ga_ls8c_ard_3-0-0_100068_2015-11-25_final
2015-11-25 10:16:16	ga_ls8c_ard_3-0-0_100069_2015-11-25_final
2015-11-25 10:16:39	ga_ls8c_ard_3-0-0_100070_2015-11-25_final
2015-11-25 10:17:03	ga_ls8c_ard_3-0-0_100071_2015-11-25_final
2015-11-25 10:17:27	ga_ls8c_ard_3-0-0_100072_2015-11-25_final
2015-11-25 10:17:51	ga_ls8c_ard_3-0-0_100073_2015-11-25_final
2015-11-25 10:18:15	ga_ls8c_ard_3-0-0_100074_2015-11-25_final
2015-11-27 10:07:29	ga_ls8c_ard_3-0-0_098078_2015-11-27_final
2015-11-27 10:07:53	ga_ls8c_ard_3-0-0_098079_2015-11-27_final
2015-11-27 10:08:17	ga_ls8c_ard_3-0-0_098080_2015-11-27_final
2015-11-27 10:08:41	ga_ls8c_ard_3-0-0_098081_2015-11-27_final
2015-11-27 10:09:05	ga_ls8c_ard_3-0-0_098082_2015-11-27_final
2015-11-27 10:09:29	ga_ls8c_ard_3-0-0_098083_2015-11-27_final
2015-11-29 09:57:55	ga_ls8c_ard_3-0-0_096085_2015-11-29_final
2015-11-29 09:58:19	ga_ls8c_ard_3-0-0_096086_2015-11-29_final
2015-11-29 09:58:43	ga_ls8c_ard_3-0-0_096087_2015-11-29_final
2019-03-11 10:06:58	ga_ls8c_ard_3-1-0_098078_2019-03-11_final
2019-03-11 10:07:21	ga_ls8c_ard_3-1-0_098079_2019-03-11_final
2019-03-11 10:07:45	ga_ls8c_ard_3-1-0_098080_2019-03-11_final
2019-03-11 10:08:09	ga_ls8c_ard_3-1-0_098081_2019-03-11_final
2019-03-11 10:08:33	ga_ls8c_ard_3-1-0_098082_2019-03-11_final
2019-03-11 10:08:57	ga_ls8c_ard_3-1-0_098083_2019-03-11_final
2019-03-13 09:57:23	ga_ls8c_ard_3-1-0_096085_2019-03-13_final
2019-03-13 09:57:47	ga_ls8c_ard_3-1-0_096086_2019-03-13_final
2019-03-13 09:58:11	ga_ls8c_ard_3-1-0_096087_2019-03-13_final
2019-04-10 10:15:12	ga_ls8c_ard_3-1-0_100068_2019-04-10_final
2019-04-10 10:15:36	ga_ls8c_ard_3-1-0_100069_2019-04-10_final
2019-04-10 10:16:00	ga_ls8c_ard_3-1-0_100070_2019-04-10_final
2019-04-10 10:16:24	ga_ls8c_ard_3-1-0_100071_2019-04-10_final
2019-04-10 10:16:48	ga_ls8c_ard_3-1-0_100072_2019-04-10_final
2019-04-10 10:17:12	ga_ls8c_ard_3-1-0_100073_2019-04-10_final
2019-04-10 10:17:36	ga_ls8c_ard_3-1-0_100074_2019-04-10_final
2019-04-28 10:06:20	ga_ls8c_ard_3-0-0_098077_2019-04-28_final
2019-04-30 09:57:11	ga_ls8c_ard_3-0-0_096085_2019-04-30_final
2019-04-30 09:57:35	ga_ls8c_ard_3-0-0_096086_2019-04-30_final
2019-04-30 09:57:59	ga_ls8c_ard_3-0-0_096087_2019-04-30_final
2019-06-17 09:57:36	ga_ls8c_ard_3-1-0_096085_2019-06-17_final
2019-06-17 09:58:00	ga_ls8c_ard_3-1-0_096086_2019-06-17_final
2019-06-17 09:58:24	ga_ls8c_ard_3-1-0_096087_2019-06-17_final
2019-11-11 10:21:51	ga_ls8c_ard_3-1-0_101067_2019-11-11_final
2019-11-11 10:22:15	ga_ls8c_ard_3-1-0_101068_2019-11-11_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