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
2014-02-27 09:56:04	ga_ls8c_ard_3-0-0_096079_2014-02-27_final
2014-02-27 09:56:28	ga_ls8c_ard_3-0-0_096080_2014-02-27_final
2014-02-27 09:56:51	ga_ls8c_ard_3-0-0_096081_2014-02-27_final
2014-03-01 09:45:15	ga_ls8c_ard_3-0-0_094083_2014-03-01_final
2014-03-01 09:45:39	ga_ls8c_ard_3-0-0_094084_2014-03-01_final
2014-03-01 09:46:03	ga_ls8c_ard_3-0-0_094085_2014-03-01_final
2014-03-01 09:46:27	ga_ls8c_ard_3-0-0_094086_2014-03-01_final
2014-03-01 09:46:51	ga_ls8c_ard_3-0-0_094087_2014-03-01_final
2014-04-14 10:02:57	ga_ls8c_ard_3-0-0_098067_2014-04-14_final
2014-04-14 10:03:21	ga_ls8c_ard_3-0-0_098068_2014-04-14_final
2014-04-14 10:03:45	ga_ls8c_ard_3-0-0_098069_2014-04-14_final
2014-04-14 10:04:09	ga_ls8c_ard_3-0-0_098070_2014-04-14_final
2014-04-14 10:04:33	ga_ls8c_ard_3-0-0_098071_2014-04-14_final
2014-04-16 09:53:44	ga_ls8c_ard_3-0-0_096075_2014-04-16_final
2014-04-16 09:54:08	ga_ls8c_ard_3-0-0_096076_2014-04-16_final
2014-04-16 09:54:32	ga_ls8c_ard_3-0-0_096077_2014-04-16_final
2014-04-16 09:54:55	ga_ls8c_ard_3-0-0_096078_2014-04-16_final
2014-04-16 09:55:19	ga_ls8c_ard_3-0-0_096079_2014-04-16_final
2014-04-16 09:55:43	ga_ls8c_ard_3-0-0_096080_2014-04-16_final
2014-04-16 09:56:07	ga_ls8c_ard_3-0-0_096081_2014-04-16_final
2014-05-16 10:02:29	ga_ls8c_ard_3-0-0_098067_2014-05-16_final
2014-05-16 10:02:53	ga_ls8c_ard_3-0-0_098068_2014-05-16_final
2014-05-20 09:44:08	ga_ls8c_ard_3-0-0_094083_2014-05-20_final
2014-05-20 09:44:32	ga_ls8c_ard_3-0-0_094084_2014-05-20_final
2014-05-20 09:44:55	ga_ls8c_ard_3-0-0_094085_2014-05-20_final
2014-05-20 09:45:19	ga_ls8c_ard_3-0-0_094086_2014-05-20_final
2014-05-20 09:45:43	ga_ls8c_ard_3-0-0_094087_2014-05-20_final
2014-06-05 09:44:15	ga_ls8c_ard_3-0-0_094083_2014-06-05_final
2014-06-05 09:44:39	ga_ls8c_ard_3-0-0_094084_2014-06-05_final
2014-06-05 09:45:03	ga_ls8c_ard_3-0-0_094085_2014-06-05_final
2014-06-05 09:45:27	ga_ls8c_ard_3-0-0_094086_2014-06-05_final
2014-06-05 09:45:51	ga_ls8c_ard_3-0-0_094087_2014-06-05_final
2015-05-30 09:48:17	ga_ls8c_ard_3-0-0_095079_2015-05-30_final
2015-05-30 09:48:41	ga_ls8c_ard_3-0-0_095080_2015-05-30_final
2015-05-30 09:49:05	ga_ls8c_ard_3-0-0_095081_2015-05-30_final
2015-05-30 09:49:29	ga_ls8c_ard_3-0-0_095082_2015-05-30_final
2015-05-30 09:49:52	ga_ls8c_ard_3-0-0_095083_2015-05-30_final
2015-05-30 09:50:16	ga_ls8c_ard_3-0-0_095084_2015-05-30_final
2015-05-30 09:50:40	ga_ls8c_ard_3-0-0_095085_2015-05-30_final
2015-06-01 09:39:09	ga_ls8c_ard_3-0-0_093087_2015-06-01_final
2015-06-01 09:39:33	ga_ls8c_ard_3-0-0_093088_2015-06-01_final
2015-06-15 09:48:29	ga_ls8c_ard_3-0-0_095079_2015-06-15_final
2015-06-15 09:48:53	ga_ls8c_ard_3-0-0_095080_2015-06-15_final
2015-06-15 09:49:17	ga_ls8c_ard_3-0-0_095081_2015-06-15_final
2015-06-15 09:49:41	ga_ls8c_ard_3-0-0_095082_2015-06-15_final
2015-06-15 09:50:05	ga_ls8c_ard_3-0-0_095083_2015-06-15_final
2015-06-15 09:50:29	ga_ls8c_ard_3-0-0_095084_2015-06-15_final
2015-06-15 09:50:53	ga_ls8c_ard_3-0-0_095085_2015-06-15_final
2015-06-17 09:39:20	ga_ls8c_ard_3-0-0_093087_2015-06-17_final
2015-06-17 09:39:44	ga_ls8c_ard_3-0-0_093088_2015-06-17_final
2015-07-01 09:48:35	ga_ls8c_ard_3-0-0_095079_2015-07-01_final
2015-07-01 09:48:59	ga_ls8c_ard_3-0-0_095080_2015-07-01_final
2015-07-01 09:49:23	ga_ls8c_ard_3-0-0_095081_2015-07-01_final
2015-07-01 09:49:47	ga_ls8c_ard_3-0-0_095082_2015-07-01_final
2015-07-01 09:50:11	ga_ls8c_ard_3-0-0_095083_2015-07-01_final
2015-07-01 09:50:35	ga_ls8c_ard_3-0-0_095084_2015-07-01_final
2015-07-01 09:50:59	ga_ls8c_ard_3-0-0_095085_2015-07-01_final
2015-07-03 09:39:27	ga_ls8c_ard_3-0-0_093087_2015-07-03_final
2015-07-03 09:39:51	ga_ls8c_ard_3-0-0_093088_2015-07-03_final
2015-07-17 09:48:45	ga_ls8c_ard_3-0-0_095079_2015-07-17_final
2015-07-17 09:49:09	ga_ls8c_ard_3-0-0_095080_2015-07-17_final
2015-07-17 09:49:33	ga_ls8c_ard_3-0-0_095081_2015-07-17_final
2015-07-17 09:49:57	ga_ls8c_ard_3-0-0_095082_2015-07-17_final
2015-07-17 09:50:21	ga_ls8c_ard_3-0-0_095083_2015-07-17_final
2015-07-17 09:50:45	ga_ls8c_ard_3-0-0_095084_2015-07-17_final
2015-07-17 09:51:09	ga_ls8c_ard_3-0-0_095085_2015-07-17_final
2015-07-19 09:39:36	ga_ls8c_ard_3-0-0_093087_2015-07-19_final
2015-07-19 09:40:00	ga_ls8c_ard_3-0-0_093088_2015-07-19_final
2015-08-02 09:48:49	ga_ls8c_ard_3-0-0_095079_2015-08-02_final
2015-08-02 09:49:13	ga_ls8c_ard_3-0-0_095080_2015-08-02_final
2015-08-02 09:49:37	ga_ls8c_ard_3-0-0_095081_2015-08-02_final
2015-08-02 09:50:01	ga_ls8c_ard_3-0-0_095082_2015-08-02_final
2015-08-02 09:50:25	ga_ls8c_ard_3-0-0_095083_2015-08-02_final
2015-08-02 09:50:49	ga_ls8c_ard_3-0-0_095084_2015-08-02_final
2015-08-02 09:51:13	ga_ls8c_ard_3-0-0_095085_2015-08-02_final
2015-08-04 09:39:39	ga_ls8c_ard_3-0-0_093087_2015-08-04_final
2015-08-04 09:40:03	ga_ls8c_ard_3-0-0_093088_2015-08-04_final
2019-01-06 10:02:49	ga_ls8c_ard_3-0-0_098067_2019-01-06_final
2019-01-06 10:03:13	ga_ls8c_ard_3-0-0_098068_2019-01-06_final
2019-01-06 10:03:37	ga_ls8c_ard_3-0-0_098069_2019-01-06_final
2019-01-06 10:04:01	ga_ls8c_ard_3-0-0_098070_2019-01-06_final
2019-01-06 10:04:25	ga_ls8c_ard_3-0-0_098071_2019-01-06_final
2020-06-21 09:44:19	ga_ls8c_ard_3-1-0_094083_2020-06-21_final
2020-06-21 09:44:43	ga_ls8c_ard_3-1-0_094084_2020-06-21_final
2020-06-21 09:45:07	ga_ls8c_ard_3-1-0_094085_2020-06-21_final
2020-06-21 09:45:31	ga_ls8c_ard_3-1-0_094086_2020-06-21_final
2020-06-21 09:45:54	ga_ls8c_ard_3-1-0_094087_2020-06-21_final
2020-06-21 09:46:18	ga_ls8c_ard_3-1-0_094088_2020-06-21_final
2020-06-23 09:34:46	ga_ls8c_ard_3-1-0_092090_2020-06-23_final
2020-07-09 09:34:53	ga_ls8c_ard_3-1-0_092090_2020-07-09_final
2020-07-10 10:08:34	ga_ls8c_ard_3-2-1_099066_2020-07-10_final
2020-07-16 09:39:54	ga_ls8c_ard_3-1-0_093087_2020-07-16_final
2020-07-16 09:40:18	ga_ls8c_ard_3-1-0_093088_2020-07-16_final
2020-09-28 10:09:02	ga_ls8c_ard_3-2-1_099066_2020-09-28_final
2020-09-30 09:58:17	ga_ls8c_ard_3-1-0_097070_2020-09-30_final
2020-09-30 09:58:40	ga_ls8c_ard_3-1-0_097071_2020-09-30_final
2020-09-30 09:59:04	ga_ls8c_ard_3-1-0_097072_2020-09-30_final
2020-09-30 09:59:28	ga_ls8c_ard_3-1-0_097073_2020-09-30_final
2020-09-30 09:59:52	ga_ls8c_ard_3-1-0_097074_2020-09-30_final
2020-09-30 10:00:16	ga_ls8c_ard_3-1-0_097075_2020-09-30_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