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
2013-04-01 10:10:02	ga_ls8c_ard_3-0-0_099073_2013-04-01_final
2013-04-01 10:10:26	ga_ls8c_ard_3-0-0_099074_2013-04-01_final
2013-04-01 10:10:50	ga_ls8c_ard_3-0-0_099075_2013-04-01_final
2013-04-01 10:11:14	ga_ls8c_ard_3-0-0_099076_2013-04-01_final
2013-04-01 10:11:38	ga_ls8c_ard_3-0-0_099077_2013-04-01_final
2013-04-01 10:12:02	ga_ls8c_ard_3-0-0_099078_2013-04-01_final
2013-04-27 10:07:53	ga_ls8c_ard_3-0-0_098075_2013-04-27_final
2013-04-27 10:08:17	ga_ls8c_ard_3-0-0_098076_2013-04-27_final
2013-04-27 10:08:41	ga_ls8c_ard_3-0-0_098077_2013-04-27_final
2013-04-27 10:09:05	ga_ls8c_ard_3-0-0_098078_2013-04-27_final
2013-04-27 10:09:29	ga_ls8c_ard_3-0-0_098079_2013-04-27_final
2013-04-27 10:09:53	ga_ls8c_ard_3-0-0_098080_2013-04-27_final
2013-04-27 10:10:17	ga_ls8c_ard_3-0-0_098081_2013-04-27_final
2013-04-29 09:59:08	ga_ls8c_ard_3-0-0_096084_2013-04-29_final
2013-04-29 09:59:32	ga_ls8c_ard_3-0-0_096085_2013-04-29_final
2013-04-29 09:59:56	ga_ls8c_ard_3-0-0_096086_2013-04-29_final
2013-05-22 10:03:59	ga_ls8c_ard_3-0-0_097080_2013-05-22_final
2013-05-22 10:04:23	ga_ls8c_ard_3-0-0_097081_2013-05-22_final
2013-05-22 10:04:47	ga_ls8c_ard_3-0-0_097082_2013-05-22_final
2013-05-22 10:05:11	ga_ls8c_ard_3-0-0_097083_2013-05-22_final
2013-05-22 10:05:35	ga_ls8c_ard_3-0-0_097084_2013-05-22_final
2013-07-02 09:58:57	ga_ls8c_ard_3-0-0_096083_2013-07-02_final
2013-07-02 09:59:21	ga_ls8c_ard_3-0-0_096084_2013-07-02_final
2013-07-02 09:59:45	ga_ls8c_ard_3-0-0_096085_2013-07-02_final
2013-07-02 10:00:09	ga_ls8c_ard_3-0-0_096086_2013-07-02_final
2013-07-16 10:08:07	ga_ls8c_ard_3-0-0_098075_2013-07-16_final
2013-07-16 10:08:31	ga_ls8c_ard_3-0-0_098076_2013-07-16_final
2013-07-16 10:08:55	ga_ls8c_ard_3-0-0_098077_2013-07-16_final
2013-07-16 10:09:19	ga_ls8c_ard_3-0-0_098078_2013-07-16_final
2013-07-16 10:09:43	ga_ls8c_ard_3-0-0_098079_2013-07-16_final
2013-07-16 10:10:07	ga_ls8c_ard_3-0-0_098080_2013-07-16_final
2013-07-16 10:10:31	ga_ls8c_ard_3-0-0_098081_2013-07-16_final
2013-07-18 09:58:57	ga_ls8c_ard_3-0-0_096083_2013-07-18_final
2013-07-18 09:59:20	ga_ls8c_ard_3-0-0_096084_2013-07-18_final
2013-07-18 09:59:44	ga_ls8c_ard_3-0-0_096085_2013-07-18_final
2013-07-18 10:00:08	ga_ls8c_ard_3-0-0_096086_2013-07-18_final
2013-08-24 10:12:46	ga_ls8c_ard_3-0-0_099071_2013-08-24_final
2013-08-24 10:13:10	ga_ls8c_ard_3-0-0_099072_2013-08-24_final
2013-08-24 10:13:34	ga_ls8c_ard_3-0-0_099073_2013-08-24_final
2013-08-24 10:14:46	ga_ls8c_ard_3-0-0_099076_2013-08-24_final
2013-09-11 10:03:58	ga_ls8c_ard_3-0-0_097080_2013-09-11_final
2013-09-11 10:04:22	ga_ls8c_ard_3-0-0_097081_2013-09-11_final
2013-09-11 10:04:46	ga_ls8c_ard_3-0-0_097082_2013-09-11_final
2013-09-11 10:05:10	ga_ls8c_ard_3-0-0_097083_2013-09-11_final
2013-09-11 10:05:33	ga_ls8c_ard_3-0-0_097084_2013-09-11_final
2013-09-11 10:05:57	ga_ls8c_ard_3-0-0_097085_2013-09-11_final
2013-09-13 09:54:23	ga_ls8c_ard_3-0-0_095087_2013-09-13_final
2015-06-09 10:20:43	ga_ls8c_ard_3-0-0_101067_2015-06-09_final
2017-05-06 10:14:37	ga_ls8c_ard_3-0-0_100067_2017-05-06_final
2017-05-06 10:15:01	ga_ls8c_ard_3-0-0_100068_2017-05-06_final
2018-02-25 10:21:14	ga_ls8c_ard_3-0-0_101067_2018-02-25_final
2018-03-13 10:21:05	ga_ls8c_ard_3-0-0_101067_2018-03-13_final
2018-07-03 10:20:34	ga_ls8c_ard_3-0-0_101067_2018-07-03_final
2019-07-06 10:21:25	ga_ls8c_ard_3-1-0_101067_2019-07-06_final
2019-07-15 10:15:15	ga_ls8c_ard_3-1-0_100067_2019-07-15_final
2019-07-15 10:15:39	ga_ls8c_ard_3-1-0_100068_2019-07-15_final
2019-07-15 10:16:03	ga_ls8c_ard_3-1-0_100069_2019-07-15_final
2019-07-15 10:16:27	ga_ls8c_ard_3-1-0_100070_2019-07-15_final
2019-07-15 10:16:51	ga_ls8c_ard_3-1-0_100071_2019-07-15_final
2019-07-15 10:17:15	ga_ls8c_ard_3-1-0_100072_2019-07-15_final
2019-07-26 10:01:58	ga_ls8c_ard_3-1-0_097080_2019-07-26_final
2019-07-26 10:02:22	ga_ls8c_ard_3-1-0_097081_2019-07-26_final
2019-07-26 10:02:46	ga_ls8c_ard_3-1-0_097082_2019-07-26_final
2019-07-26 10:03:10	ga_ls8c_ard_3-1-0_097083_2019-07-26_final
2019-07-26 10:03:34	ga_ls8c_ard_3-1-0_097084_2019-07-26_final
2019-07-26 10:03:58	ga_ls8c_ard_3-1-0_097085_2019-07-26_final
2019-07-28 09:52:25	ga_ls8c_ard_3-1-0_095087_2019-07-28_final
2019-07-28 09:52:49	ga_ls8c_ard_3-1-0_095088_2019-07-28_final
2019-09-14 09:52:39	ga_ls8c_ard_3-1-0_095087_2019-09-14_final
2019-09-14 09:53:03	ga_ls8c_ard_3-1-0_095088_2019-09-14_final
2019-10-03 10:15:40	ga_ls8c_ard_3-1-0_100067_2019-10-03_final
2019-10-03 10:16:04	ga_ls8c_ard_3-1-0_100068_2019-10-03_final
2019-10-03 10:16:28	ga_ls8c_ard_3-1-0_100069_2019-10-03_final
2019-10-03 10:16:52	ga_ls8c_ard_3-1-0_100070_2019-10-03_final
2019-10-03 10:17:16	ga_ls8c_ard_3-1-0_100071_2019-10-03_final
2019-10-03 10:17:40	ga_ls8c_ard_3-1-0_100072_2019-10-03_final
2019-10-05 10:06:30	ga_ls8c_ard_3-1-0_098075_2019-10-05_final
2019-10-05 10:06:54	ga_ls8c_ard_3-1-0_098076_2019-10-05_final
2019-10-05 10:07:18	ga_ls8c_ard_3-1-0_098077_2019-10-05_final
2019-10-05 10:07:42	ga_ls8c_ard_3-1-0_098078_2019-10-05_final
2019-10-05 10:08:06	ga_ls8c_ard_3-1-0_098079_2019-10-05_final
2019-10-05 10:08:30	ga_ls8c_ard_3-1-0_098080_2019-10-05_final
2019-10-05 10:08:54	ga_ls8c_ard_3-1-0_098081_2019-10-05_final
2019-10-07 09:57:21	ga_ls8c_ard_3-1-0_096083_2019-10-07_final
2019-10-07 09:57:45	ga_ls8c_ard_3-1-0_096084_2019-10-07_final
2019-10-07 09:58:09	ga_ls8c_ard_3-1-0_096085_2019-10-07_final
2019-10-07 09:58:33	ga_ls8c_ard_3-1-0_096086_2019-10-07_final
2019-10-07 09:58:57	ga_ls8c_ard_3-1-0_096087_2019-10-07_final
2019-11-11 10:21:51	ga_ls8c_ard_3-1-0_101067_2019-11-11_final
2019-11-22 10:06:27	ga_ls8c_ard_3-1-0_098075_2019-11-22_final
2019-11-22 10:06:51	ga_ls8c_ard_3-1-0_098076_2019-11-22_final
2019-11-22 10:07:15	ga_ls8c_ard_3-1-0_098077_2019-11-22_final
2019-11-22 10:07:39	ga_ls8c_ard_3-1-0_098078_2019-11-22_final
2019-11-22 10:08:03	ga_ls8c_ard_3-1-0_098079_2019-11-22_final
2019-11-22 10:08:27	ga_ls8c_ard_3-1-0_098080_2019-11-22_final
2019-11-22 10:08:51	ga_ls8c_ard_3-1-0_098081_2019-11-22_final
2019-11-24 09:57:17	ga_ls8c_ard_3-1-0_096083_2019-11-24_final
2019-11-24 09:57:41	ga_ls8c_ard_3-1-0_096084_2019-11-24_final
2019-11-24 09:58:05	ga_ls8c_ard_3-1-0_096085_2019-11-24_final
2019-11-24 09:58:29	ga_ls8c_ard_3-1-0_096086_2019-11-24_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