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
2016-04-05 09:54:37	ga_ls8c_ard_3-0-0_096078_2016-04-05_final
2016-04-05 09:55:01	ga_ls8c_ard_3-0-0_096079_2016-04-05_final
2016-04-05 09:55:25	ga_ls8c_ard_3-0-0_096080_2016-04-05_final
2016-04-05 09:55:49	ga_ls8c_ard_3-0-0_096081_2016-04-05_final
2016-04-05 09:56:13	ga_ls8c_ard_3-0-0_096082_2016-04-05_final
2016-04-05 09:56:37	ga_ls8c_ard_3-0-0_096083_2016-04-05_final
2016-04-07 09:45:02	ga_ls8c_ard_3-0-0_094085_2016-04-07_final
2016-04-07 09:45:26	ga_ls8c_ard_3-0-0_094086_2016-04-07_final
2016-04-07 09:45:50	ga_ls8c_ard_3-0-0_094087_2016-04-07_final
2016-04-07 09:46:14	ga_ls8c_ard_3-0-0_094088_2016-04-07_final
2016-04-23 09:44:56	ga_ls8c_ard_3-0-0_094085_2016-04-23_final
2016-04-23 09:45:20	ga_ls8c_ard_3-0-0_094086_2016-04-23_final
2016-04-23 09:45:44	ga_ls8c_ard_3-0-0_094087_2016-04-23_final
2016-04-23 09:46:08	ga_ls8c_ard_3-0-0_094088_2016-04-23_final
2018-10-13 09:50:13	ga_ls8c_ard_3-0-0_095082_2018-10-13_final
2018-10-13 09:50:37	ga_ls8c_ard_3-0-0_095083_2018-10-13_final
2018-10-13 09:51:01	ga_ls8c_ard_3-0-0_095084_2018-10-13_final
2018-10-13 09:51:25	ga_ls8c_ard_3-0-0_095085_2018-10-13_final
2018-10-13 09:51:49	ga_ls8c_ard_3-0-0_095086_2018-10-13_final
2018-10-13 09:52:13	ga_ls8c_ard_3-0-0_095087_2018-10-13_final
2018-10-20 09:54:51	ga_ls8c_ard_3-0-0_096078_2018-10-20_final
2018-10-20 09:55:15	ga_ls8c_ard_3-0-0_096079_2018-10-20_final
2018-10-20 09:55:38	ga_ls8c_ard_3-0-0_096080_2018-10-20_final
2018-10-20 09:56:02	ga_ls8c_ard_3-0-0_096081_2018-10-20_final
2018-10-20 09:56:26	ga_ls8c_ard_3-0-0_096082_2018-10-20_final
2018-10-20 09:56:50	ga_ls8c_ard_3-0-0_096083_2018-10-20_final
2018-10-22 09:45:17	ga_ls8c_ard_3-0-0_094085_2018-10-22_final
2018-10-22 09:45:41	ga_ls8c_ard_3-0-0_094086_2018-10-22_final
2018-10-22 09:46:05	ga_ls8c_ard_3-0-0_094087_2018-10-22_final
2018-10-22 09:46:29	ga_ls8c_ard_3-0-0_094088_2018-10-22_final
2018-12-09 09:45:18	ga_ls8c_ard_3-0-0_094085_2018-12-09_final
2018-12-09 09:45:42	ga_ls8c_ard_3-0-0_094086_2018-12-09_final
2018-12-09 09:46:06	ga_ls8c_ard_3-0-0_094087_2018-12-09_final
2018-12-09 09:46:30	ga_ls8c_ard_3-0-0_094088_2018-12-09_final
2018-12-25 09:45:17	ga_ls8c_ard_3-0-0_094085_2018-12-25_final
2018-12-25 09:45:41	ga_ls8c_ard_3-0-0_094086_2018-12-25_final
2018-12-25 09:46:05	ga_ls8c_ard_3-0-0_094087_2018-12-25_final
2018-12-25 09:46:29	ga_ls8c_ard_3-0-0_094088_2018-12-25_final
2019-06-26 09:50:17	ga_ls8c_ard_3-1-0_095082_2019-06-26_final
2019-06-26 09:50:40	ga_ls8c_ard_3-1-0_095083_2019-06-26_final
2019-06-26 09:51:04	ga_ls8c_ard_3-1-0_095084_2019-06-26_final
2019-06-26 09:51:28	ga_ls8c_ard_3-1-0_095085_2019-06-26_final
2019-06-26 09:51:52	ga_ls8c_ard_3-1-0_095086_2019-06-26_final
2019-06-26 09:52:16	ga_ls8c_ard_3-1-0_095087_2019-06-26_final
2019-07-12 09:50:20	ga_ls8c_ard_3-1-0_095082_2019-07-12_final
2019-07-12 09:50:44	ga_ls8c_ard_3-1-0_095083_2019-07-12_final
2019-07-12 09:51:08	ga_ls8c_ard_3-1-0_095084_2019-07-12_final
2019-07-12 09:51:32	ga_ls8c_ard_3-1-0_095085_2019-07-12_final
2019-07-12 09:51:56	ga_ls8c_ard_3-1-0_095086_2019-07-12_final
2019-07-12 09:52:20	ga_ls8c_ard_3-1-0_095087_2019-07-12_final
2019-07-17 10:03:42	ga_ls8c_ard_3-1-0_098069_2019-07-17_final
2019-07-17 10:04:06	ga_ls8c_ard_3-1-0_098070_2019-07-17_final
2019-07-17 10:04:30	ga_ls8c_ard_3-1-0_098071_2019-07-17_final
2019-07-17 10:04:53	ga_ls8c_ard_3-1-0_098072_2019-07-17_final
2019-07-17 10:05:17	ga_ls8c_ard_3-1-0_098073_2019-07-17_final
2019-07-17 10:05:41	ga_ls8c_ard_3-1-0_098074_2019-07-17_final
2019-07-24 10:09:07	ga_ls8c_ard_3-1-0_099067_2019-07-24_final
2019-07-24 10:09:31	ga_ls8c_ard_3-1-0_099068_2019-07-24_final
2019-07-24 10:09:55	ga_ls8c_ard_3-1-0_099069_2019-07-24_final
2019-07-26 09:59:10	ga_ls8c_ard_3-1-0_097073_2019-07-26_final
2019-07-26 09:59:34	ga_ls8c_ard_3-1-0_097074_2019-07-26_final
2019-07-26 09:59:58	ga_ls8c_ard_3-1-0_097075_2019-07-26_final
2019-07-26 10:00:22	ga_ls8c_ard_3-1-0_097076_2019-07-26_final
2019-07-26 10:00:46	ga_ls8c_ard_3-1-0_097077_2019-07-26_final
2019-07-26 10:01:10	ga_ls8c_ard_3-1-0_097078_2019-07-26_final
2019-07-26 10:01:34	ga_ls8c_ard_3-1-0_097079_2019-07-26_final
2019-08-13 09:50:31	ga_ls8c_ard_3-1-0_095082_2019-08-13_final
2019-08-13 09:50:55	ga_ls8c_ard_3-1-0_095083_2019-08-13_final
2019-08-13 09:51:19	ga_ls8c_ard_3-1-0_095084_2019-08-13_final
2019-08-13 09:51:43	ga_ls8c_ard_3-1-0_095085_2019-08-13_final
2019-08-13 09:52:07	ga_ls8c_ard_3-1-0_095086_2019-08-13_final
2019-08-13 09:52:31	ga_ls8c_ard_3-1-0_095087_2019-08-13_final
2019-09-10 10:09:22	ga_ls8c_ard_3-1-0_099067_2019-09-10_final
2019-09-10 10:09:46	ga_ls8c_ard_3-1-0_099068_2019-09-10_final
2019-09-10 10:10:10	ga_ls8c_ard_3-1-0_099069_2019-09-10_final
2019-09-23 09:45:44	ga_ls8c_ard_3-1-0_094085_2019-09-23_final
2019-09-23 09:46:08	ga_ls8c_ard_3-1-0_094086_2019-09-23_final
2019-09-23 09:46:32	ga_ls8c_ard_3-1-0_094087_2019-09-23_final
2019-09-23 09:46:56	ga_ls8c_ard_3-1-0_094088_2019-09-23_final
2019-09-28 09:59:30	ga_ls8c_ard_3-1-0_097073_2019-09-28_final
2019-09-28 09:59:54	ga_ls8c_ard_3-1-0_097074_2019-09-28_final
2019-09-28 10:00:18	ga_ls8c_ard_3-1-0_097075_2019-09-28_final
2019-09-28 10:00:42	ga_ls8c_ard_3-1-0_097076_2019-09-28_final
2019-09-28 10:01:06	ga_ls8c_ard_3-1-0_097077_2019-09-28_final
2019-09-28 10:01:30	ga_ls8c_ard_3-1-0_097078_2019-09-28_final
2019-09-28 10:01:54	ga_ls8c_ard_3-1-0_097079_2019-09-28_final
2019-09-30 09:50:45	ga_ls8c_ard_3-1-0_095082_2019-09-30_final
2019-09-30 09:51:09	ga_ls8c_ard_3-1-0_095083_2019-09-30_final
2019-09-30 09:51:33	ga_ls8c_ard_3-1-0_095084_2019-09-30_final
2019-09-30 09:51:56	ga_ls8c_ard_3-1-0_095085_2019-09-30_final
2019-09-30 09:52:20	ga_ls8c_ard_3-1-0_095086_2019-09-30_final
2019-09-30 09:52:44	ga_ls8c_ard_3-1-0_095087_2019-09-30_final
2019-11-24 09:55:18	ga_ls8c_ard_3-1-0_096078_2019-11-24_final
2019-11-26 09:45:44	ga_ls8c_ard_3-1-0_094085_2019-11-26_final
2019-11-26 09:46:08	ga_ls8c_ard_3-1-0_094086_2019-11-26_final
2019-11-26 09:46:32	ga_ls8c_ard_3-1-0_094087_2019-11-26_final
2019-11-26 09:46:56	ga_ls8c_ard_3-1-0_094088_2019-11-26_final
2019-12-28 09:45:39	ga_ls8c_ard_3-1-0_094085_2019-12-28_final
2019-12-28 09:46:03	ga_ls8c_ard_3-1-0_094086_2019-12-28_final
2019-12-28 09:46:27	ga_ls8c_ard_3-1-0_094087_2019-12-28_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