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
2015-02-12 10:02:47	ga_ls8c_ard_3-0-0_098067_2015-02-12_final
2015-02-12 10:03:11	ga_ls8c_ard_3-0-0_098068_2015-02-12_final
2015-02-12 10:03:35	ga_ls8c_ard_3-0-0_098069_2015-02-12_final
2015-02-12 10:03:59	ga_ls8c_ard_3-0-0_098070_2015-02-12_final
2015-02-14 09:54:47	ga_ls8c_ard_3-0-0_096078_2015-02-14_final
2015-02-14 09:55:11	ga_ls8c_ard_3-0-0_096079_2015-02-14_final
2015-02-14 09:55:34	ga_ls8c_ard_3-0-0_096080_2015-02-14_final
2015-02-25 09:39:26	ga_ls8c_ard_3-0-0_093086_2015-02-25_final
2015-02-25 09:39:50	ga_ls8c_ard_3-0-0_093087_2015-02-25_final
2015-02-25 09:40:14	ga_ls8c_ard_3-0-0_093088_2015-02-25_final
2015-03-22 09:34:12	ga_ls8c_ard_3-0-0_092089_2015-03-22_final
2015-04-07 09:34:01	ga_ls8c_ard_3-0-0_092089_2015-04-07_final
2015-04-17 10:02:20	ga_ls8c_ard_3-0-0_098067_2015-04-17_final
2015-04-17 10:02:44	ga_ls8c_ard_3-0-0_098068_2015-04-17_final
2015-04-17 10:03:08	ga_ls8c_ard_3-0-0_098069_2015-04-17_final
2015-04-17 10:03:32	ga_ls8c_ard_3-0-0_098070_2015-04-17_final
2015-04-19 09:52:45	ga_ls8c_ard_3-0-0_096074_2015-04-19_final
2015-04-19 09:53:09	ga_ls8c_ard_3-0-0_096075_2015-04-19_final
2015-04-19 09:53:33	ga_ls8c_ard_3-0-0_096076_2015-04-19_final
2015-04-19 09:53:57	ga_ls8c_ard_3-0-0_096077_2015-04-19_final
2015-04-19 09:54:21	ga_ls8c_ard_3-0-0_096078_2015-04-19_final
2015-04-19 09:54:45	ga_ls8c_ard_3-0-0_096079_2015-04-19_final
2015-04-19 09:55:09	ga_ls8c_ard_3-0-0_096080_2015-04-19_final
2015-05-03 10:02:09	ga_ls8c_ard_3-0-0_098067_2015-05-03_final
2015-05-03 10:02:33	ga_ls8c_ard_3-0-0_098068_2015-05-03_final
2015-05-03 10:02:57	ga_ls8c_ard_3-0-0_098069_2015-05-03_final
2015-05-03 10:03:20	ga_ls8c_ard_3-0-0_098070_2015-05-03_final
2015-05-05 09:52:32	ga_ls8c_ard_3-0-0_096074_2015-05-05_final
2015-05-05 09:52:56	ga_ls8c_ard_3-0-0_096075_2015-05-05_final
2015-05-05 09:53:20	ga_ls8c_ard_3-0-0_096076_2015-05-05_final
2015-05-05 09:53:44	ga_ls8c_ard_3-0-0_096077_2015-05-05_final
2015-05-05 09:54:08	ga_ls8c_ard_3-0-0_096078_2015-05-05_final
2015-05-05 09:54:32	ga_ls8c_ard_3-0-0_096079_2015-05-05_final
2015-05-05 09:54:56	ga_ls8c_ard_3-0-0_096080_2015-05-05_final
2019-08-06 09:44:42	ga_ls8c_ard_3-1-0_094083_2019-08-06_final
2019-08-06 09:45:06	ga_ls8c_ard_3-1-0_094084_2019-08-06_final
2019-08-06 09:45:30	ga_ls8c_ard_3-1-0_094085_2019-08-06_final
2019-08-06 09:45:54	ga_ls8c_ard_3-1-0_094086_2019-08-06_final
2019-08-06 09:46:18	ga_ls8c_ard_3-1-0_094087_2019-08-06_final
2019-08-06 09:46:42	ga_ls8c_ard_3-1-0_094088_2019-08-06_final
2019-08-08 09:34:45	ga_ls8c_ard_3-1-0_092089_2019-08-08_final
2019-08-08 09:35:09	ga_ls8c_ard_3-1-0_092090_2019-08-08_final
2021-01-04 09:58:14	ga_ls8c_ard_3-2-0_097070_2021-01-04_final
2021-01-04 09:58:38	ga_ls8c_ard_3-2-0_097071_2021-01-04_final
2021-01-04 09:59:01	ga_ls8c_ard_3-2-0_097072_2021-01-04_final
2021-01-04 09:59:25	ga_ls8c_ard_3-2-0_097073_2021-01-04_final
2021-01-04 09:59:49	ga_ls8c_ard_3-2-0_097074_2021-01-04_final
2021-01-04 10:00:13	ga_ls8c_ard_3-2-0_097075_2021-01-04_final
2021-01-06 09:49:27	ga_ls8c_ard_3-2-0_095079_2021-01-06_final
2021-01-06 09:49:51	ga_ls8c_ard_3-2-0_095080_2021-01-06_final
2021-01-06 09:50:14	ga_ls8c_ard_3-2-0_095081_2021-01-06_final
2021-01-06 09:50:38	ga_ls8c_ard_3-2-0_095082_2021-01-06_final
2021-01-06 09:51:02	ga_ls8c_ard_3-2-0_095083_2021-01-06_final
2021-01-06 09:51:26	ga_ls8c_ard_3-2-0_095084_2021-01-06_final
2021-01-15 09:44:47	ga_ls8c_ard_3-2-0_094083_2021-01-15_final
2021-01-15 09:45:11	ga_ls8c_ard_3-2-0_094084_2021-01-15_final
2021-01-15 09:45:35	ga_ls8c_ard_3-2-0_094085_2021-01-15_final
2021-01-15 09:45:59	ga_ls8c_ard_3-2-0_094086_2021-01-15_final
2021-01-15 09:46:23	ga_ls8c_ard_3-2-0_094087_2021-01-15_final
2021-01-15 09:46:47	ga_ls8c_ard_3-2-0_094088_2021-01-15_final
2021-02-02 09:34:46	ga_ls8c_ard_3-2-0_092089_2021-02-02_final
2021-02-02 09:35:10	ga_ls8c_ard_3-2-0_092090_2021-02-02_final
2021-02-03 10:08:51	ga_ls8c_ard_3-2-1_099066_2021-02-03_final
2021-02-12 10:02:39	ga_ls8c_ard_3-2-1_098066_2021-02-12_final
2021-02-12 10:03:02	ga_ls8c_ard_3-2-0_098067_2021-02-12_final
2021-02-12 10:03:26	ga_ls8c_ard_3-2-0_098068_2021-02-12_final
2021-02-12 10:03:50	ga_ls8c_ard_3-2-0_098069_2021-02-12_final
2021-02-12 10:04:14	ga_ls8c_ard_3-2-0_098070_2021-02-12_final
2021-03-29 09:39:25	ga_ls8c_ard_3-2-0_093086_2021-03-29_final
2021-03-29 09:39:49	ga_ls8c_ard_3-2-0_093087_2021-03-29_final
2021-03-29 09:40:13	ga_ls8c_ard_3-2-0_093088_2021-03-29_final
2021-04-01 10:02:20	ga_ls8c_ard_3-2-1_098066_2021-04-01_final
2021-04-01 10:02:43	ga_ls8c_ard_3-2-0_098067_2021-04-01_final
2021-04-01 10:03:07	ga_ls8c_ard_3-2-0_098068_2021-04-01_final
2021-04-01 10:03:31	ga_ls8c_ard_3-2-0_098069_2021-04-01_final
2021-04-01 10:03:55	ga_ls8c_ard_3-2-0_098070_2021-04-01_final
2021-04-10 09:57:41	ga_ls8c_ard_3-2-0_097070_2021-04-10_final
2021-04-10 09:59:17	ga_ls8c_ard_3-2-0_097074_2021-04-10_final
2021-04-10 09:59:41	ga_ls8c_ard_3-2-0_097075_2021-04-10_final
2021-05-07 09:44:30	ga_ls8c_ard_3-2-0_094084_2021-05-07_final
2021-05-07 09:44:54	ga_ls8c_ard_3-2-0_094085_2021-05-07_final
2021-05-07 09:45:18	ga_ls8c_ard_3-2-0_094086_2021-05-07_final
2021-05-07 09:45:42	ga_ls8c_ard_3-2-0_094087_2021-05-07_final
2021-05-07 09:46:06	ga_ls8c_ard_3-2-0_094088_2021-05-07_final
2021-05-09 09:34:10	ga_ls8c_ard_3-2-0_092089_2021-05-09_final
2021-05-09 09:34:34	ga_ls8c_ard_3-2-0_092090_2021-05-09_final
2021-07-15 09:57:52	ga_ls8c_ard_3-2-0_097070_2021-07-15_final
2021-07-15 09:58:16	ga_ls8c_ard_3-2-0_097071_2021-07-15_final
2021-07-15 09:58:40	ga_ls8c_ard_3-2-0_097072_2021-07-15_final
2021-07-15 09:59:04	ga_ls8c_ard_3-2-0_097073_2021-07-15_final
2021-07-15 09:59:28	ga_ls8c_ard_3-2-0_097074_2021-07-15_final
2021-07-15 09:59:52	ga_ls8c_ard_3-2-0_097075_2021-07-15_final
2021-07-17 09:49:07	ga_ls8c_ard_3-2-0_095079_2021-07-17_final
2021-07-17 09:49:31	ga_ls8c_ard_3-2-0_095080_2021-07-17_final
2021-07-17 09:49:55	ga_ls8c_ard_3-2-0_095081_2021-07-17_final
2021-07-17 09:50:19	ga_ls8c_ard_3-2-0_095082_2021-07-17_final
2021-07-17 09:50:43	ga_ls8c_ard_3-2-0_095083_2021-07-17_final
2021-07-17 09:51:07	ga_ls8c_ard_3-2-0_095084_2021-07-17_final
2021-07-19 09:39:34	ga_ls8c_ard_3-2-0_093086_2021-07-19_final
2021-07-19 09:39:58	ga_ls8c_ard_3-2-0_093087_2021-07-19_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