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
2014-10-07 10:04:20	ga_ls8c_ard_3-0-0_098070_2014-10-07_final
2014-10-07 10:04:44	ga_ls8c_ard_3-0-0_098071_2014-10-07_final
2014-10-07 10:05:08	ga_ls8c_ard_3-0-0_098072_2014-10-07_final
2014-10-07 10:05:32	ga_ls8c_ard_3-0-0_098073_2014-10-07_final
2014-10-07 10:05:56	ga_ls8c_ard_3-0-0_098074_2014-10-07_final
2014-10-07 10:06:20	ga_ls8c_ard_3-0-0_098075_2014-10-07_final
2014-10-09 09:55:11	ga_ls8c_ard_3-0-0_096078_2014-10-09_final
2014-10-09 09:55:34	ga_ls8c_ard_3-0-0_096079_2014-10-09_final
2014-10-09 09:55:58	ga_ls8c_ard_3-0-0_096080_2014-10-09_final
2014-10-09 09:56:22	ga_ls8c_ard_3-0-0_096081_2014-10-09_final
2014-10-09 09:56:46	ga_ls8c_ard_3-0-0_096082_2014-10-09_final
2014-10-09 09:57:10	ga_ls8c_ard_3-0-0_096083_2014-10-09_final
2014-10-09 09:57:34	ga_ls8c_ard_3-0-0_096084_2014-10-09_final
2014-10-11 09:46:01	ga_ls8c_ard_3-0-0_094086_2014-10-11_final
2014-10-11 09:46:25	ga_ls8c_ard_3-0-0_094087_2014-10-11_final
2014-12-14 09:45:54	ga_ls8c_ard_3-0-0_094086_2014-12-14_final
2014-12-14 09:46:18	ga_ls8c_ard_3-0-0_094087_2014-12-14_final
2014-12-17 10:09:15	ga_ls8c_ard_3-0-0_099067_2014-12-17_final
2014-12-17 10:09:39	ga_ls8c_ard_3-0-0_099068_2014-12-17_final
2014-12-17 10:10:03	ga_ls8c_ard_3-0-0_099069_2014-12-17_final
2014-12-17 10:10:27	ga_ls8c_ard_3-0-0_099070_2014-12-17_final
2017-03-07 09:54:47	ga_ls8c_ard_3-0-0_096078_2017-03-07_final
2017-03-07 09:55:11	ga_ls8c_ard_3-0-0_096079_2017-03-07_final
2017-03-07 09:55:35	ga_ls8c_ard_3-0-0_096080_2017-03-07_final
2017-03-07 09:55:59	ga_ls8c_ard_3-0-0_096081_2017-03-07_final
2020-06-01 10:03:39	ga_ls8c_ard_3-1-0_098070_2020-06-01_final
2020-06-01 10:04:03	ga_ls8c_ard_3-1-0_098071_2020-06-01_final
2020-06-01 10:04:26	ga_ls8c_ard_3-1-0_098072_2020-06-01_final
2020-06-01 10:04:50	ga_ls8c_ard_3-1-0_098073_2020-06-01_final
2020-06-01 10:05:14	ga_ls8c_ard_3-1-0_098074_2020-06-01_final
2020-06-01 10:05:38	ga_ls8c_ard_3-1-0_098075_2020-06-01_final
2020-06-03 09:54:30	ga_ls8c_ard_3-1-0_096078_2020-06-03_final
2020-06-03 09:54:54	ga_ls8c_ard_3-1-0_096079_2020-06-03_final
2020-06-03 09:55:18	ga_ls8c_ard_3-1-0_096080_2020-06-03_final
2020-06-03 09:55:42	ga_ls8c_ard_3-1-0_096081_2020-06-03_final
2020-06-03 09:56:06	ga_ls8c_ard_3-1-0_096082_2020-06-03_final
2020-06-03 09:56:30	ga_ls8c_ard_3-1-0_096083_2020-06-03_final
2020-06-03 09:56:54	ga_ls8c_ard_3-1-0_096084_2020-06-03_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
2020-06-19 09:56:15	ga_ls8c_ard_3-1-0_096082_2020-06-19_final
2020-06-19 09:56:39	ga_ls8c_ard_3-1-0_096083_2020-06-19_final
2020-06-19 09:57:03	ga_ls8c_ard_3-1-0_096084_2020-06-19_final
2020-07-23 09:45:43	ga_ls8c_ard_3-1-0_094086_2020-07-23_final
2020-07-23 09:46:07	ga_ls8c_ard_3-1-0_094087_2020-07-23_final
2020-07-23 09:46:31	ga_ls8c_ard_3-1-0_094088_2020-07-23_final
2021-12-06 09:59:55	ga_ls8c_ard_3-2-1_097074_2021-12-06_final
2021-12-06 10:00:19	ga_ls8c_ard_3-2-1_097075_2021-12-06_final
2021-12-06 10:00:43	ga_ls8c_ard_3-2-1_097076_2021-12-06_final
2021-12-06 10:01:07	ga_ls8c_ard_3-2-1_097077_2021-12-06_final
2021-12-06 10:01:31	ga_ls8c_ard_3-2-1_097078_2021-12-06_final
2021-12-06 10:01:55	ga_ls8c_ard_3-2-1_097079_2021-12-06_final
2021-12-06 10:02:19	ga_ls8c_ard_3-2-1_097080_2021-12-06_final
2021-12-08 09:50:45	ga_ls8c_ard_3-2-1_095082_2021-12-08_final
2021-12-08 09:51:09	ga_ls8c_ard_3-2-1_095083_2021-12-08_final
2021-12-08 09:51:33	ga_ls8c_ard_3-2-1_095084_2021-12-08_final
2021-12-08 09:51:57	ga_ls8c_ard_3-2-1_095085_2021-12-08_final
2021-12-08 09:52:21	ga_ls8c_ard_3-2-1_095086_2021-12-08_final
2021-12-08 09:52:45	ga_ls8c_ard_3-2-1_095087_2021-12-08_final
2021-12-13 10:04:30	ga_ls8c_ard_3-2-1_098070_2021-12-13_final
2021-12-13 10:04:54	ga_ls8c_ard_3-2-1_098071_2021-12-13_final
2021-12-13 10:05:18	ga_ls8c_ard_3-2-1_098072_2021-12-13_final
2021-12-13 10:05:42	ga_ls8c_ard_3-2-1_098073_2021-12-13_final
2021-12-13 10:06:05	ga_ls8c_ard_3-2-1_098074_2021-12-13_final
2021-12-13 10:06:29	ga_ls8c_ard_3-2-1_098075_2021-12-13_final
2021-12-15 09:55:19	ga_ls8c_ard_3-2-1_096078_2021-12-15_final
2021-12-15 09:55:43	ga_ls8c_ard_3-2-1_096079_2021-12-15_final
2021-12-15 09:56:07	ga_ls8c_ard_3-2-1_096080_2021-12-15_final
2021-12-15 09:56:31	ga_ls8c_ard_3-2-1_096081_2021-12-15_final
2021-12-15 09:56:55	ga_ls8c_ard_3-2-1_096082_2021-12-15_final
2021-12-15 09:57:19	ga_ls8c_ard_3-2-1_096083_2021-12-15_final
2021-12-15 09:57:43	ga_ls8c_ard_3-2-1_096084_2021-12-15_final
2021-12-17 09:46:09	ga_ls8c_ard_3-2-1_094086_2021-12-17_final
2021-12-17 09:46:33	ga_ls8c_ard_3-2-1_094087_2021-12-17_final
2021-12-20 10:09:03	ga_ls8c_ard_3-2-1_099066_2021-12-20_final
2021-12-20 10:09:27	ga_ls8c_ard_3-2-1_099067_2021-12-20_final
2021-12-20 10:09:51	ga_ls8c_ard_3-2-1_099068_2021-12-20_final
2021-12-20 10:10:15	ga_ls8c_ard_3-2-1_099069_2021-12-20_final
2021-12-20 10:10:39	ga_ls8c_ard_3-2-1_099070_2021-12-20_final
2021-12-22 09:59:53	ga_ls8c_ard_3-2-1_097074_2021-12-22_final
2021-12-22 10:00:17	ga_ls8c_ard_3-2-1_097075_2021-12-22_final
2021-12-22 10:00:40	ga_ls8c_ard_3-2-1_097076_2021-12-22_final
2021-12-22 10:01:04	ga_ls8c_ard_3-2-1_097077_2021-12-22_final
2021-12-22 10:01:28	ga_ls8c_ard_3-2-1_097078_2021-12-22_final
2021-12-22 10:01:52	ga_ls8c_ard_3-2-1_097079_2021-12-22_final
2021-12-22 10:02:16	ga_ls8c_ard_3-2-1_097080_2021-12-22_final
2021-12-24 09:50:42	ga_ls8c_ard_3-2-1_095082_2021-12-24_final
2021-12-24 09:51:06	ga_ls8c_ard_3-2-1_095083_2021-12-24_final
2021-12-24 09:51:30	ga_ls8c_ard_3-2-1_095084_2021-12-24_final
2021-12-24 09:51:54	ga_ls8c_ard_3-2-1_095085_2021-12-24_final
2021-12-24 09:52:18	ga_ls8c_ard_3-2-1_095086_2021-12-24_final
2021-12-24 09:52:41	ga_ls8c_ard_3-2-1_095087_2021-12-24_final
2021-12-31 09:55:13	ga_ls8c_ard_3-2-1_096078_2021-12-31_final
2021-12-31 09:55:37	ga_ls8c_ard_3-2-1_096079_2021-12-31_final
2021-12-31 09:56:01	ga_ls8c_ard_3-2-1_096080_2021-12-31_final
2021-12-31 09:56:25	ga_ls8c_ard_3-2-1_096081_2021-12-31_final
2021-12-31 09:56:49	ga_ls8c_ard_3-2-1_096082_2021-12-31_final
2021-12-31 09:57:13	ga_ls8c_ard_3-2-1_096083_2021-12-31_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