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
2014-08-22 09:57:27	ga_ls8c_ard_3-0-0_096084_2014-08-22_final
2014-08-22 09:57:51	ga_ls8c_ard_3-0-0_096085_2014-08-22_final
2014-08-22 09:58:15	ga_ls8c_ard_3-0-0_096086_2014-08-22_final
2014-09-23 09:57:28	ga_ls8c_ard_3-0-0_096084_2014-09-23_final
2014-09-23 09:57:52	ga_ls8c_ard_3-0-0_096085_2014-09-23_final
2014-09-23 09:58:16	ga_ls8c_ard_3-0-0_096086_2014-09-23_final
2014-11-10 09:57:36	ga_ls8c_ard_3-0-0_096084_2014-11-10_final
2014-11-10 09:58:00	ga_ls8c_ard_3-0-0_096085_2014-11-10_final
2014-11-10 09:58:24	ga_ls8c_ard_3-0-0_096086_2014-11-10_final
2014-12-28 09:57:26	ga_ls8c_ard_3-0-0_096084_2014-12-28_final
2014-12-28 09:57:50	ga_ls8c_ard_3-0-0_096085_2014-12-28_final
2014-12-28 09:58:14	ga_ls8c_ard_3-0-0_096086_2014-12-28_final
2017-07-09 10:15:07	ga_ls8c_ard_3-0-0_100067_2017-07-09_final
2017-07-09 10:15:30	ga_ls8c_ard_3-0-0_100068_2017-07-09_final
2017-07-09 10:15:54	ga_ls8c_ard_3-0-0_100069_2017-07-09_final
2017-07-09 10:16:18	ga_ls8c_ard_3-0-0_100070_2017-07-09_final
2017-07-09 10:16:42	ga_ls8c_ard_3-0-0_100071_2017-07-09_final
2017-07-09 10:17:06	ga_ls8c_ard_3-0-0_100072_2017-07-09_final
2017-07-09 10:17:30	ga_ls8c_ard_3-0-0_100073_2017-07-09_final
2017-07-16 10:21:19	ga_ls8c_ard_3-0-0_101067_2017-07-16_final
2017-07-16 10:21:43	ga_ls8c_ard_3-0-0_101068_2017-07-16_final
2017-08-26 10:15:24	ga_ls8c_ard_3-0-0_100067_2017-08-26_final
2017-08-26 10:15:48	ga_ls8c_ard_3-0-0_100068_2017-08-26_final
2017-08-26 10:16:12	ga_ls8c_ard_3-0-0_100069_2017-08-26_final
2017-08-26 10:16:36	ga_ls8c_ard_3-0-0_100070_2017-08-26_final
2017-08-26 10:17:00	ga_ls8c_ard_3-0-0_100071_2017-08-26_final
2017-08-26 10:17:24	ga_ls8c_ard_3-0-0_100072_2017-08-26_final
2017-08-26 10:17:48	ga_ls8c_ard_3-0-0_100073_2017-08-26_final
2021-04-28 09:52:22	ga_ls8c_ard_3-2-0_095088_2021-04-28_final
2021-05-01 10:14:51	ga_ls8c_ard_3-2-0_100067_2021-05-01_final
2021-05-01 10:15:15	ga_ls8c_ard_3-2-0_100068_2021-05-01_final
2021-05-01 10:15:39	ga_ls8c_ard_3-2-0_100069_2021-05-01_final
2021-05-01 10:16:03	ga_ls8c_ard_3-2-0_100070_2021-05-01_final
2021-05-01 10:16:27	ga_ls8c_ard_3-2-0_100071_2021-05-01_final
2021-05-01 10:16:51	ga_ls8c_ard_3-2-0_100072_2021-05-01_final
2021-05-01 10:17:15	ga_ls8c_ard_3-2-0_100073_2021-05-01_final
2021-05-03 10:06:04	ga_ls8c_ard_3-2-0_098076_2021-05-03_final
2021-05-03 10:06:28	ga_ls8c_ard_3-2-0_098077_2021-05-03_final
2021-05-03 10:06:52	ga_ls8c_ard_3-2-0_098078_2021-05-03_final
2021-05-03 10:07:15	ga_ls8c_ard_3-2-0_098079_2021-05-03_final
2021-05-03 10:07:39	ga_ls8c_ard_3-2-0_098080_2021-05-03_final
2021-05-03 10:08:03	ga_ls8c_ard_3-2-0_098081_2021-05-03_final
2021-05-03 10:08:27	ga_ls8c_ard_3-2-0_098082_2021-05-03_final
2021-05-14 09:52:22	ga_ls8c_ard_3-2-0_095088_2021-05-14_final
2021-05-17 10:14:55	ga_ls8c_ard_3-2-0_100067_2021-05-17_final
2021-05-17 10:15:19	ga_ls8c_ard_3-2-0_100068_2021-05-17_final
2021-05-17 10:15:43	ga_ls8c_ard_3-2-0_100069_2021-05-17_final
2021-05-17 10:16:07	ga_ls8c_ard_3-2-0_100070_2021-05-17_final
2021-05-17 10:16:31	ga_ls8c_ard_3-2-0_100071_2021-05-17_final
2021-05-17 10:16:55	ga_ls8c_ard_3-2-0_100072_2021-05-17_final
2021-05-17 10:17:18	ga_ls8c_ard_3-2-0_100073_2021-05-17_final
2021-05-19 10:06:10	ga_ls8c_ard_3-2-0_098076_2021-05-19_final
2021-05-19 10:06:34	ga_ls8c_ard_3-2-0_098077_2021-05-19_final
2021-05-19 10:06:58	ga_ls8c_ard_3-2-0_098078_2021-05-19_final
2021-05-19 10:07:22	ga_ls8c_ard_3-2-0_098079_2021-05-19_final
2021-05-19 10:07:46	ga_ls8c_ard_3-2-0_098080_2021-05-19_final
2021-05-19 10:08:10	ga_ls8c_ard_3-2-0_098081_2021-05-19_final
2021-05-19 10:08:34	ga_ls8c_ard_3-2-0_098082_2021-05-19_final
2021-05-28 10:03:40	ga_ls8c_ard_3-2-0_097085_2021-05-28_final
2021-09-06 10:15:34	ga_ls8c_ard_3-2-0_100067_2021-09-06_final
2021-09-06 10:15:58	ga_ls8c_ard_3-2-0_100068_2021-09-06_final
2021-09-06 10:16:22	ga_ls8c_ard_3-2-0_100069_2021-09-06_final
2021-09-06 10:16:46	ga_ls8c_ard_3-2-0_100070_2021-09-06_final
2021-09-06 10:17:09	ga_ls8c_ard_3-2-0_100071_2021-09-06_final
2021-09-06 10:17:33	ga_ls8c_ard_3-2-0_100072_2021-09-06_final
2021-09-06 10:17:57	ga_ls8c_ard_3-2-0_100073_2021-09-06_final
2021-09-08 10:06:48	ga_ls8c_ard_3-2-0_098076_2021-09-08_final
2021-09-08 10:07:12	ga_ls8c_ard_3-2-0_098077_2021-09-08_final
2021-09-08 10:07:36	ga_ls8c_ard_3-2-0_098078_2021-09-08_final
2021-09-08 10:08:00	ga_ls8c_ard_3-2-0_098079_2021-09-08_final
2021-09-08 10:08:24	ga_ls8c_ard_3-2-0_098080_2021-09-08_final
2021-09-08 10:08:48	ga_ls8c_ard_3-2-0_098081_2021-09-08_final
2021-09-08 10:09:12	ga_ls8c_ard_3-2-0_098082_2021-09-08_final
2021-09-10 09:57:38	ga_ls8c_ard_3-2-0_096084_2021-09-10_final
2021-09-10 09:58:02	ga_ls8c_ard_3-2-0_096085_2021-09-10_final
2021-09-10 09:58:26	ga_ls8c_ard_3-2-0_096086_2021-09-10_final
2021-09-10 09:58:50	ga_ls8c_ard_3-2-0_096087_2021-09-10_final
2021-09-13 10:21:46	ga_ls8c_ard_3-2-0_101067_2021-09-13_final
2021-09-13 10:22:10	ga_ls8c_ard_3-2-0_101068_2021-09-13_final
2021-09-15 10:11:24	ga_ls8c_ard_3-2-0_099072_2021-09-15_final
2021-09-15 10:11:48	ga_ls8c_ard_3-2-0_099073_2021-09-15_final
2021-09-15 10:12:12	ga_ls8c_ard_3-2-0_099074_2021-09-15_final
2021-09-15 10:12:36	ga_ls8c_ard_3-2-0_099075_2021-09-15_final
2021-09-15 10:13:00	ga_ls8c_ard_3-2-0_099076_2021-09-15_final
2021-09-15 10:13:24	ga_ls8c_ard_3-2-0_099077_2021-09-15_final
2021-09-17 10:02:39	ga_ls8c_ard_3-2-0_097081_2021-09-17_final
2021-09-17 10:03:03	ga_ls8c_ard_3-2-0_097082_2021-09-17_final
2021-09-17 10:03:26	ga_ls8c_ard_3-2-0_097083_2021-09-17_final
2021-09-17 10:03:50	ga_ls8c_ard_3-2-0_097084_2021-09-17_final
2021-09-17 10:04:14	ga_ls8c_ard_3-2-0_097085_2021-09-17_final
2021-09-17 10:04:38	ga_ls8c_ard_3-2-0_097086_2021-09-17_final
2021-09-19 09:53:05	ga_ls8c_ard_3-2-0_095088_2021-09-19_final
2021-09-22 10:18:00	ga_ls8c_ard_3-2-0_100073_2021-09-22_final
2021-09-29 10:21:50	ga_ls8c_ard_3-2-0_101067_2021-09-29_final
2021-09-29 10:22:14	ga_ls8c_ard_3-2-0_101068_2021-09-29_final
2021-10-12 09:57:47	ga_ls8c_ard_3-2-0_096084_2021-10-12_final
2021-10-12 09:58:11	ga_ls8c_ard_3-2-0_096085_2021-10-12_final
2021-10-12 09:58:35	ga_ls8c_ard_3-2-0_096086_2021-10-12_final
2021-10-12 09:58:59	ga_ls8c_ard_3-2-0_096087_2021-10-12_final
2021-10-15 10:21:55	ga_ls8c_ard_3-2-0_101067_2021-10-15_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