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
2018-02-06 09:54:02	ga_ls8c_ard_3-0-0_096076_2018-02-06_final
2018-02-06 09:54:26	ga_ls8c_ard_3-0-0_096077_2018-02-06_final
2018-02-06 09:54:50	ga_ls8c_ard_3-0-0_096078_2018-02-06_final
2018-02-06 09:55:14	ga_ls8c_ard_3-0-0_096079_2018-02-06_final
2018-02-06 09:55:38	ga_ls8c_ard_3-0-0_096080_2018-02-06_final
2018-02-06 09:56:02	ga_ls8c_ard_3-0-0_096081_2018-02-06_final
2018-02-08 09:44:51	ga_ls8c_ard_3-0-0_094084_2018-02-08_final
2018-02-08 09:45:15	ga_ls8c_ard_3-0-0_094085_2018-02-08_final
2018-02-08 09:45:39	ga_ls8c_ard_3-0-0_094086_2018-02-08_final
2018-02-08 09:46:03	ga_ls8c_ard_3-0-0_094087_2018-02-08_final
2018-02-08 09:46:27	ga_ls8c_ard_3-0-0_094088_2018-02-08_final
2018-02-22 09:53:56	ga_ls8c_ard_3-0-0_096076_2018-02-22_final
2018-02-22 09:54:20	ga_ls8c_ard_3-0-0_096077_2018-02-22_final
2018-02-22 09:54:44	ga_ls8c_ard_3-0-0_096078_2018-02-22_final
2018-02-22 09:55:08	ga_ls8c_ard_3-0-0_096079_2018-02-22_final
2018-02-22 09:55:32	ga_ls8c_ard_3-0-0_096080_2018-02-22_final
2018-02-22 09:55:56	ga_ls8c_ard_3-0-0_096081_2018-02-22_final
2018-02-24 09:44:45	ga_ls8c_ard_3-0-0_094084_2018-02-24_final
2018-02-24 09:45:09	ga_ls8c_ard_3-0-0_094085_2018-02-24_final
2018-02-24 09:45:33	ga_ls8c_ard_3-0-0_094086_2018-02-24_final
2018-02-24 09:45:57	ga_ls8c_ard_3-0-0_094087_2018-02-24_final
2018-02-24 09:46:21	ga_ls8c_ard_3-0-0_094088_2018-02-24_final
2018-03-12 09:44:37	ga_ls8c_ard_3-0-0_094084_2018-03-12_final
2018-03-12 09:45:01	ga_ls8c_ard_3-0-0_094085_2018-03-12_final
2018-03-12 09:45:24	ga_ls8c_ard_3-0-0_094086_2018-03-12_final
2018-03-12 09:45:48	ga_ls8c_ard_3-0-0_094087_2018-03-12_final
2018-03-26 09:53:40	ga_ls8c_ard_3-0-0_096076_2018-03-26_final
2018-03-26 09:54:04	ga_ls8c_ard_3-0-0_096077_2018-03-26_final
2018-03-26 09:54:28	ga_ls8c_ard_3-0-0_096078_2018-03-26_final
2018-03-26 09:54:52	ga_ls8c_ard_3-0-0_096079_2018-03-26_final
2018-03-26 09:55:16	ga_ls8c_ard_3-0-0_096080_2018-03-26_final
2018-03-26 09:55:40	ga_ls8c_ard_3-0-0_096081_2018-03-26_final
2018-03-28 09:44:29	ga_ls8c_ard_3-0-0_094084_2018-03-28_final
2018-03-28 09:44:53	ga_ls8c_ard_3-0-0_094085_2018-03-28_final
2018-03-28 09:45:17	ga_ls8c_ard_3-0-0_094086_2018-03-28_final
2018-03-28 09:45:41	ga_ls8c_ard_3-0-0_094087_2018-03-28_final
2018-03-28 09:46:05	ga_ls8c_ard_3-0-0_094088_2018-03-28_final
2018-05-18 10:08:07	ga_ls8c_ard_3-0-0_099067_2018-05-18_final
2018-05-20 09:57:19	ga_ls8c_ard_3-0-0_097071_2018-05-20_final
2018-05-20 09:57:43	ga_ls8c_ard_3-0-0_097072_2018-05-20_final
2018-05-20 09:58:07	ga_ls8c_ard_3-0-0_097073_2018-05-20_final
2018-05-20 09:58:31	ga_ls8c_ard_3-0-0_097074_2018-05-20_final
2018-05-20 09:58:55	ga_ls8c_ard_3-0-0_097075_2018-05-20_final
2018-05-20 09:59:19	ga_ls8c_ard_3-0-0_097076_2018-05-20_final
2018-05-20 09:59:43	ga_ls8c_ard_3-0-0_097077_2018-05-20_final
2020-03-19 09:34:52	ga_ls8c_ard_3-1-0_092090_2020-03-19_final
2020-03-20 10:08:57	ga_ls8c_ard_3-1-0_099067_2020-03-20_final
2020-03-22 09:58:10	ga_ls8c_ard_3-1-0_097071_2020-03-22_final
2020-03-22 09:58:34	ga_ls8c_ard_3-1-0_097072_2020-03-22_final
2020-03-22 09:58:58	ga_ls8c_ard_3-1-0_097073_2020-03-22_final
2020-03-22 09:59:22	ga_ls8c_ard_3-1-0_097074_2020-03-22_final
2020-03-22 09:59:45	ga_ls8c_ard_3-1-0_097075_2020-03-22_final
2020-03-22 10:00:09	ga_ls8c_ard_3-1-0_097076_2020-03-22_final
2020-03-22 10:00:33	ga_ls8c_ard_3-1-0_097077_2020-03-22_final
2020-05-06 09:34:28	ga_ls8c_ard_3-1-0_092090_2020-05-06_final
2020-05-07 10:08:32	ga_ls8c_ard_3-1-0_099067_2020-05-07_final
2020-05-09 09:57:45	ga_ls8c_ard_3-1-0_097071_2020-05-09_final
2020-05-09 09:58:09	ga_ls8c_ard_3-1-0_097072_2020-05-09_final
2020-05-09 09:58:33	ga_ls8c_ard_3-1-0_097073_2020-05-09_final
2020-05-09 09:58:57	ga_ls8c_ard_3-1-0_097074_2020-05-09_final
2020-05-09 09:59:21	ga_ls8c_ard_3-1-0_097075_2020-05-09_final
2020-05-09 09:59:45	ga_ls8c_ard_3-1-0_097076_2020-05-09_final
2020-05-25 09:57:49	ga_ls8c_ard_3-1-0_097071_2020-05-25_final
2020-05-25 09:58:13	ga_ls8c_ard_3-1-0_097072_2020-05-25_final
2020-05-25 09:58:37	ga_ls8c_ard_3-1-0_097073_2020-05-25_final
2020-05-25 09:59:01	ga_ls8c_ard_3-1-0_097074_2020-05-25_final
2020-05-25 09:59:25	ga_ls8c_ard_3-1-0_097075_2020-05-25_final
2020-05-25 09:59:49	ga_ls8c_ard_3-1-0_097076_2020-05-25_final
2020-05-25 10:00:13	ga_ls8c_ard_3-1-0_097077_2020-05-25_final
2020-06-19 09:53:28	ga_ls8c_ard_3-1-0_096075_2020-06-19_final
2020-06-19 09:53:52	ga_ls8c_ard_3-1-0_096076_2020-06-19_final
2020-06-19 09:54:16	ga_ls8c_ard_3-1-0_096077_2020-06-19_final
2020-06-19 09:54:39	ga_ls8c_ard_3-1-0_096078_2020-06-19_final
2020-06-19 09:55:03	ga_ls8c_ard_3-1-0_096079_2020-06-19_final
2020-06-19 09:55:27	ga_ls8c_ard_3-1-0_096080_2020-06-19_final
2020-06-19 09:55:51	ga_ls8c_ard_3-1-0_096081_2020-06-19_final
2020-10-13 09:35:23	ga_ls8c_ard_3-1-0_092090_2020-10-13_final
2020-10-14 10:09:28	ga_ls8c_ard_3-1-0_099067_2020-10-14_final
2020-10-16 09:58:42	ga_ls8c_ard_3-1-0_097071_2020-10-16_final
2020-10-16 09:59:06	ga_ls8c_ard_3-1-0_097072_2020-10-16_final
2020-10-16 09:59:30	ga_ls8c_ard_3-1-0_097073_2020-10-16_final
2020-10-16 09:59:54	ga_ls8c_ard_3-1-0_097074_2020-10-16_final
2020-10-16 10:00:18	ga_ls8c_ard_3-1-0_097075_2020-10-16_final
2020-10-16 10:00:42	ga_ls8c_ard_3-1-0_097076_2020-10-16_final
2020-10-16 10:01:06	ga_ls8c_ard_3-1-0_097077_2020-10-16_final
2020-11-01 09:58:41	ga_ls8c_ard_3-1-0_097071_2020-11-01_final
2020-11-01 09:59:05	ga_ls8c_ard_3-1-0_097072_2020-11-01_final
2020-11-01 09:59:29	ga_ls8c_ard_3-1-0_097073_2020-11-01_final
2020-11-01 09:59:53	ga_ls8c_ard_3-1-0_097074_2020-11-01_final
2020-11-01 10:00:17	ga_ls8c_ard_3-1-0_097075_2020-11-01_final
2020-11-01 10:00:41	ga_ls8c_ard_3-1-0_097076_2020-11-01_final
2020-11-01 10:01:05	ga_ls8c_ard_3-1-0_097077_2020-11-01_final
2020-11-30 09:35:24	ga_ls8c_ard_3-1-0_092090_2020-11-30_final
2020-12-01 10:09:29	ga_ls8c_ard_3-1-0_099067_2020-12-01_final
2020-12-03 09:58:43	ga_ls8c_ard_3-1-0_097071_2020-12-03_final
2020-12-03 09:59:07	ga_ls8c_ard_3-1-0_097072_2020-12-03_final
2020-12-03 09:59:31	ga_ls8c_ard_3-1-0_097073_2020-12-03_final
2020-12-03 09:59:55	ga_ls8c_ard_3-1-0_097074_2020-12-03_final
2020-12-03 10:00:19	ga_ls8c_ard_3-1-0_097075_2020-12-03_final
2020-12-03 10:00:43	ga_ls8c_ard_3-1-0_097076_2020-12-03_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years