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
2013-04-27 10:04:42	ga_ls8c_ard_3-0-0_098067_2013-04-27_final
2013-04-27 10:05:06	ga_ls8c_ard_3-0-0_098068_2013-04-27_final
2013-04-27 10:05:30	ga_ls8c_ard_3-0-0_098069_2013-04-27_final
2013-04-27 10:05:54	ga_ls8c_ard_3-0-0_098070_2013-04-27_final
2013-04-27 10:06:17	ga_ls8c_ard_3-0-0_098071_2013-04-27_final
2013-04-27 10:06:41	ga_ls8c_ard_3-0-0_098072_2013-04-27_final
2013-04-29 09:55:57	ga_ls8c_ard_3-0-0_096076_2013-04-29_final
2013-04-29 09:56:21	ga_ls8c_ard_3-0-0_096077_2013-04-29_final
2013-04-29 09:56:45	ga_ls8c_ard_3-0-0_096078_2013-04-29_final
2013-04-29 09:57:09	ga_ls8c_ard_3-0-0_096079_2013-04-29_final
2013-04-29 09:57:33	ga_ls8c_ard_3-0-0_096080_2013-04-29_final
2013-05-01 09:46:48	ga_ls8c_ard_3-0-0_094084_2013-05-01_final
2013-05-01 09:47:12	ga_ls8c_ard_3-0-0_094085_2013-05-01_final
2013-05-01 09:47:36	ga_ls8c_ard_3-0-0_094086_2013-05-01_final
2013-05-22 10:00:24	ga_ls8c_ard_3-0-0_097071_2013-05-22_final
2013-05-22 10:00:48	ga_ls8c_ard_3-0-0_097072_2013-05-22_final
2013-05-22 10:01:12	ga_ls8c_ard_3-0-0_097073_2013-05-22_final
2013-05-22 10:01:36	ga_ls8c_ard_3-0-0_097074_2013-05-22_final
2013-05-22 10:02:00	ga_ls8c_ard_3-0-0_097075_2013-05-22_final
2013-05-22 10:02:24	ga_ls8c_ard_3-0-0_097076_2013-05-22_final
2013-05-22 10:02:48	ga_ls8c_ard_3-0-0_097077_2013-05-22_final
2013-05-24 09:51:38	ga_ls8c_ard_3-0-0_095080_2013-05-24_final
2013-05-24 09:52:02	ga_ls8c_ard_3-0-0_095081_2013-05-24_final
2013-05-24 09:52:26	ga_ls8c_ard_3-0-0_095082_2013-05-24_final
2013-05-24 09:52:50	ga_ls8c_ard_3-0-0_095083_2013-05-24_final
2013-05-24 09:53:14	ga_ls8c_ard_3-0-0_095084_2013-05-24_final
2013-07-02 09:56:09	ga_ls8c_ard_3-0-0_096076_2013-07-02_final
2013-07-02 09:56:33	ga_ls8c_ard_3-0-0_096077_2013-07-02_final
2013-07-02 09:56:57	ga_ls8c_ard_3-0-0_096078_2013-07-02_final
2013-07-02 09:57:21	ga_ls8c_ard_3-0-0_096079_2013-07-02_final
2013-07-02 09:57:45	ga_ls8c_ard_3-0-0_096080_2013-07-02_final
2013-07-02 09:58:09	ga_ls8c_ard_3-0-0_096081_2013-07-02_final
2013-07-04 09:46:59	ga_ls8c_ard_3-0-0_094084_2013-07-04_final
2013-07-04 09:47:23	ga_ls8c_ard_3-0-0_094085_2013-07-04_final
2013-07-04 09:47:47	ga_ls8c_ard_3-0-0_094086_2013-07-04_final
2013-07-04 09:48:11	ga_ls8c_ard_3-0-0_094087_2013-07-04_final
2013-08-26 10:00:25	ga_ls8c_ard_3-0-0_097071_2013-08-26_final
2013-08-26 10:00:49	ga_ls8c_ard_3-0-0_097072_2013-08-26_final
2013-08-26 10:01:13	ga_ls8c_ard_3-0-0_097073_2013-08-26_final
2013-08-26 10:01:37	ga_ls8c_ard_3-0-0_097074_2013-08-26_final
2013-08-26 10:02:00	ga_ls8c_ard_3-0-0_097075_2013-08-26_final
2013-08-26 10:02:24	ga_ls8c_ard_3-0-0_097076_2013-08-26_final
2013-08-28 09:51:39	ga_ls8c_ard_3-0-0_095080_2013-08-28_final
2013-08-28 09:52:03	ga_ls8c_ard_3-0-0_095081_2013-08-28_final
2013-08-28 09:52:27	ga_ls8c_ard_3-0-0_095082_2013-08-28_final
2013-08-28 09:52:51	ga_ls8c_ard_3-0-0_095083_2013-08-28_final
2013-08-28 09:53:14	ga_ls8c_ard_3-0-0_095084_2013-08-28_final
2013-08-28 09:53:38	ga_ls8c_ard_3-0-0_095085_2013-08-28_final
2013-08-28 09:54:02	ga_ls8c_ard_3-0-0_095086_2013-08-28_final
2014-08-20 10:03:01	ga_ls8c_ard_3-0-0_098067_2014-08-20_final
2014-08-20 10:03:25	ga_ls8c_ard_3-0-0_098068_2014-08-20_final
2014-08-20 10:03:49	ga_ls8c_ard_3-0-0_098069_2014-08-20_final
2014-08-22 09:54:15	ga_ls8c_ard_3-0-0_096076_2014-08-22_final
2014-08-22 09:54:39	ga_ls8c_ard_3-0-0_096077_2014-08-22_final
2014-08-22 09:55:03	ga_ls8c_ard_3-0-0_096078_2014-08-22_final
2014-08-22 09:55:27	ga_ls8c_ard_3-0-0_096079_2014-08-22_final
2014-08-22 09:55:51	ga_ls8c_ard_3-0-0_096080_2014-08-22_final
2014-08-22 09:56:15	ga_ls8c_ard_3-0-0_096081_2014-08-22_final
2014-08-24 09:45:05	ga_ls8c_ard_3-0-0_094084_2014-08-24_final
2014-08-24 09:45:29	ga_ls8c_ard_3-0-0_094085_2014-08-24_final
2014-08-24 09:45:53	ga_ls8c_ard_3-0-0_094086_2014-08-24_final
2014-08-24 09:46:17	ga_ls8c_ard_3-0-0_094087_2014-08-24_final
2015-01-15 09:45:02	ga_ls8c_ard_3-0-0_094084_2015-01-15_final
2015-01-15 09:45:26	ga_ls8c_ard_3-0-0_094085_2015-01-15_final
2015-01-15 09:45:50	ga_ls8c_ard_3-0-0_094086_2015-01-15_final
2015-01-15 09:46:14	ga_ls8c_ard_3-0-0_094087_2015-01-15_final
2015-02-16 09:44:49	ga_ls8c_ard_3-0-0_094084_2015-02-16_final
2015-02-16 09:45:13	ga_ls8c_ard_3-0-0_094085_2015-02-16_final
2015-02-16 09:45:37	ga_ls8c_ard_3-0-0_094086_2015-02-16_final
2015-02-16 09:46:01	ga_ls8c_ard_3-0-0_094087_2015-02-16_final
2015-02-19 10:08:57	ga_ls8c_ard_3-0-0_099067_2015-02-19_final
2015-03-20 09:44:35	ga_ls8c_ard_3-0-0_094084_2015-03-20_final
2015-03-20 09:44:59	ga_ls8c_ard_3-0-0_094085_2015-03-20_final
2015-03-20 09:45:23	ga_ls8c_ard_3-0-0_094086_2015-03-20_final
2015-03-20 09:45:47	ga_ls8c_ard_3-0-0_094087_2015-03-20_final
2015-03-20 09:46:11	ga_ls8c_ard_3-0-0_094088_2015-03-20_final
2015-04-05 09:44:23	ga_ls8c_ard_3-0-0_094084_2015-04-05_final
2015-04-05 09:44:47	ga_ls8c_ard_3-0-0_094085_2015-04-05_final
2015-04-05 09:45:11	ga_ls8c_ard_3-1-0_094086_2015-04-05_final
2015-04-05 09:45:35	ga_ls8c_ard_3-0-0_094087_2015-04-05_final
2015-04-05 09:45:59	ga_ls8c_ard_3-0-0_094088_2015-04-05_final
2017-07-08 09:39:50	ga_ls8c_ard_3-0-0_093087_2017-07-08_final
2017-07-08 09:40:14	ga_ls8c_ard_3-0-0_093088_2017-07-08_final
2017-07-15 09:44:50	ga_ls8c_ard_3-0-0_094084_2017-07-15_final
2017-07-15 09:45:14	ga_ls8c_ard_3-0-0_094085_2017-07-15_final
2017-07-15 09:45:38	ga_ls8c_ard_3-0-0_094086_2017-07-15_final
2017-07-15 09:46:02	ga_ls8c_ard_3-0-0_094087_2017-07-15_final
2017-07-15 09:46:26	ga_ls8c_ard_3-0-0_094088_2017-07-15_final
2023-02-04 09:54:33	ga_ls8c_ard_3-2-1_096076_2023-02-04_final
2023-02-04 09:54:57	ga_ls8c_ard_3-2-1_096077_2023-02-04_final
2023-02-04 09:55:21	ga_ls8c_ard_3-2-1_096078_2023-02-04_final
2023-02-04 09:55:45	ga_ls8c_ard_3-2-1_096079_2023-02-04_final
2023-02-04 09:56:09	ga_ls8c_ard_3-2-1_096080_2023-02-04_final
2023-02-04 09:56:33	ga_ls8c_ard_3-2-1_096081_2023-02-04_final
2023-03-24 09:54:01	ga_ls8c_ard_3-2-1_096076_2023-03-24_final
2023-03-24 09:54:25	ga_ls8c_ard_3-2-1_096077_2023-03-24_final
2023-03-24 09:54:49	ga_ls8c_ard_3-2-1_096078_2023-03-24_final
2023-03-24 09:55:13	ga_ls8c_ard_3-2-1_096079_2023-03-24_final
2023-03-24 09:55:37	ga_ls8c_ard_3-2-1_096080_2023-03-24_final
2023-03-24 09:56:00	ga_ls8c_ard_3-2-1_096081_2023-03-24_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