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
2014-08-25 10:22:46	ga_ls8c_ard_3-0-0_101070_2014-08-25_final
2014-08-25 10:23:10	ga_ls8c_ard_3-0-0_101071_2014-08-25_final
2014-08-25 10:23:34	ga_ls8c_ard_3-1-0_101072_2014-08-25_final
2014-08-25 10:23:58	ga_ls8c_ard_3-0-0_101073_2014-08-25_final
2014-09-26 10:22:47	ga_ls8c_ard_3-0-0_101070_2014-09-26_final
2014-09-26 10:23:11	ga_ls8c_ard_3-0-0_101071_2014-09-26_final
2014-09-26 10:23:34	ga_ls8c_ard_3-0-0_101072_2014-09-26_final
2014-09-26 10:23:58	ga_ls8c_ard_3-0-0_101073_2014-09-26_final
2014-11-13 10:22:55	ga_ls8c_ard_3-0-0_101070_2014-11-13_final
2014-11-13 10:23:19	ga_ls8c_ard_3-0-0_101071_2014-11-13_final
2014-11-13 10:23:43	ga_ls8c_ard_3-0-0_101072_2014-11-13_final
2014-11-13 10:24:07	ga_ls8c_ard_3-0-0_101073_2014-11-13_final
2014-12-31 10:22:43	ga_ls8c_ard_3-0-0_101070_2014-12-31_final
2014-12-31 10:23:07	ga_ls8c_ard_3-0-0_101071_2014-12-31_final
2014-12-31 10:23:30	ga_ls8c_ard_3-0-0_101072_2014-12-31_final
2014-12-31 10:23:54	ga_ls8c_ard_3-0-0_101073_2014-12-31_final
2017-07-07 10:27:28	ga_ls8c_ard_3-0-0_102067_2017-07-07_final
2017-07-07 10:27:52	ga_ls8c_ard_3-0-0_102068_2017-07-07_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
2017-07-09 10:17:54	ga_ls8c_ard_3-0-0_100074_2017-07-09_final
2017-07-09 10:18:18	ga_ls8c_ard_3-0-0_100075_2017-07-09_final
2017-07-09 10:18:42	ga_ls8c_ard_3-0-0_100076_2017-07-09_final
2017-07-09 10:19:06	ga_ls8c_ard_3-0-0_100077_2017-07-09_final
2017-07-09 10:19:30	ga_ls8c_ard_3-0-0_100078_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
2017-07-16 10:22:07	ga_ls8c_ard_3-0-0_101069_2017-07-16_final
2017-07-16 10:22:31	ga_ls8c_ard_3-0-0_101070_2017-07-16_final
2017-07-16 10:22:55	ga_ls8c_ard_3-0-0_101071_2017-07-16_final
2017-07-16 10:23:19	ga_ls8c_ard_3-0-0_101072_2017-07-16_final
2017-07-16 10:23:43	ga_ls8c_ard_3-0-0_101073_2017-07-16_final
2017-08-24 10:27:45	ga_ls8c_ard_3-0-0_102067_2017-08-24_final
2017-08-24 10:28:09	ga_ls8c_ard_3-0-0_102068_2017-08-24_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
2017-08-26 10:18:12	ga_ls8c_ard_3-0-0_100074_2017-08-26_final
2017-08-26 10:18:35	ga_ls8c_ard_3-0-0_100075_2017-08-26_final
2017-08-26 10:18:59	ga_ls8c_ard_3-0-0_100076_2017-08-26_final
2017-08-26 10:19:23	ga_ls8c_ard_3-0-0_100077_2017-08-26_final
2017-08-26 10:19:47	ga_ls8c_ard_3-0-0_100078_2017-08-26_final
2021-04-29 10:27:14	ga_ls8c_ard_3-2-0_102067_2021-04-29_final
2021-04-29 10:27:38	ga_ls8c_ard_3-2-0_102068_2021-04-29_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
2021-05-01 10:17:39	ga_ls8c_ard_3-2-0_100074_2021-05-01_final
2021-05-01 10:18:03	ga_ls8c_ard_3-2-0_100075_2021-05-01_final
2021-05-01 10:18:27	ga_ls8c_ard_3-2-0_100076_2021-05-01_final
2021-05-01 10:19:15	ga_ls8c_ard_3-2-0_100078_2021-05-01_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
2021-05-03 10:08:51	ga_ls8c_ard_3-2-0_098083_2021-05-03_final
2021-05-03 10:09:15	ga_ls8c_ard_3-2-0_098084_2021-05-03_final
2021-05-03 10:09:39	ga_ls8c_ard_3-2-0_098085_2021-05-03_final
2021-05-03 10:10:03	ga_ls8c_ard_3-2-0_098086_2021-05-03_final
2021-05-15 10:27:15	ga_ls8c_ard_3-2-0_102067_2021-05-15_final
2021-05-15 10:27:39	ga_ls8c_ard_3-2-0_102068_2021-05-15_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
2021-05-19 10:08:58	ga_ls8c_ard_3-2-0_098083_2021-05-19_final
2021-05-19 10:09:22	ga_ls8c_ard_3-2-0_098084_2021-05-19_final
2021-05-19 10:09:45	ga_ls8c_ard_3-2-0_098085_2021-05-19_final
2021-05-19 10:10:09	ga_ls8c_ard_3-2-0_098086_2021-05-19_final
2021-05-31 10:27:24	ga_ls8c_ard_3-2-0_102067_2021-05-31_final
2021-05-31 10:27:48	ga_ls8c_ard_3-2-0_102068_2021-05-31_final
2021-09-04 10:27:55	ga_ls8c_ard_3-2-0_102067_2021-09-04_final
2021-09-04 10:28:19	ga_ls8c_ard_3-2-0_102068_2021-09-04_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
2021-09-06 10:18:21	ga_ls8c_ard_3-2-0_100074_2021-09-06_final
2021-09-06 10:18:45	ga_ls8c_ard_3-2-0_100075_2021-09-06_final
2021-09-06 10:19:09	ga_ls8c_ard_3-2-0_100076_2021-09-06_final
2021-09-06 10:19:33	ga_ls8c_ard_3-2-0_100077_2021-09-06_final
2021-09-06 10:19:57	ga_ls8c_ard_3-2-0_100078_2021-09-06_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
2021-09-08 10:09:36	ga_ls8c_ard_3-2-0_098083_2021-09-08_final
2021-09-08 10:10:00	ga_ls8c_ard_3-2-0_098084_2021-09-08_final
2021-09-08 10:10:24	ga_ls8c_ard_3-2-0_098085_2021-09-08_final
2021-09-08 10:10:48	ga_ls8c_ard_3-2-0_098086_2021-09-08_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
2021-09-13 10:22:34	ga_ls8c_ard_3-2-0_101069_2021-09-13_final
2021-09-13 10:22:58	ga_ls8c_ard_3-2-0_101070_2021-09-13_final
2021-09-13 10:23:22	ga_ls8c_ard_3-2-0_101071_2021-09-13_final
2021-09-13 10:23:46	ga_ls8c_ard_3-2-0_101072_2021-09-13_final
2021-09-13 10:24:10	ga_ls8c_ard_3-2-0_101073_2021-09-13_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
2021-09-15 10:13:48	ga_ls8c_ard_3-2-0_099078_2021-09-15_final
2021-09-15 10:14:12	ga_ls8c_ard_3-2-0_099079_2021-09-15_final
2021-09-15 10:14:36	ga_ls8c_ard_3-2-0_099080_2021-09-15_final
2021-09-15 10:15:00	ga_ls8c_ard_3-2-0_099081_2021-09-15_final
2021-09-15 10:15:24	ga_ls8c_ard_3-2-0_099082_2021-09-15_final
2021-10-15 10:21:55	ga_ls8c_ard_3-2-0_101067_2021-10-15_final
2021-10-15 10:22:19	ga_ls8c_ard_3-2-0_101068_2021-10-15_final
2021-10-15 10:22:43	ga_ls8c_ard_3-2-0_101069_2021-10-15_final
2021-10-15 10:23:06	ga_ls8c_ard_3-2-0_101070_2021-10-15_final
2021-10-15 10:23:30	ga_ls8c_ard_3-2-0_101071_2021-10-15_final
2021-10-15 10:23:54	ga_ls8c_ard_3-2-0_101072_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