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
2013-05-29 10:05:00	ga_ls8c_ard_3-0-0_098067_2013-05-29_final
2013-05-29 10:05:24	ga_ls8c_ard_3-0-0_098068_2013-05-29_final
2013-05-29 10:05:48	ga_ls8c_ard_3-0-0_098069_2013-05-29_final
2013-05-29 10:06:12	ga_ls8c_ard_3-0-0_098070_2013-05-29_final
2013-05-29 10:06:36	ga_ls8c_ard_3-0-0_098071_2013-05-29_final
2013-05-31 09:56:38	ga_ls8c_ard_3-0-0_096077_2013-05-31_final
2013-05-31 09:57:02	ga_ls8c_ard_3-0-0_096078_2013-05-31_final
2013-05-31 09:57:26	ga_ls8c_ard_3-0-0_096079_2013-05-31_final
2013-05-31 09:57:50	ga_ls8c_ard_3-0-0_096080_2013-05-31_final
2013-05-31 09:58:14	ga_ls8c_ard_3-0-0_096081_2013-05-31_final
2013-05-31 09:58:38	ga_ls8c_ard_3-0-0_096082_2013-05-31_final
2013-06-02 09:47:28	ga_ls8c_ard_3-0-0_094085_2013-06-02_final
2013-06-02 09:47:52	ga_ls8c_ard_3-0-0_094086_2013-06-02_final
2013-09-25 10:11:01	ga_ls8c_ard_3-0-0_099067_2013-09-25_final
2013-09-25 10:11:25	ga_ls8c_ard_3-0-0_099068_2013-09-25_final
2013-11-23 09:56:10	ga_ls8c_ard_3-0-0_096077_2013-11-23_final
2013-11-23 09:56:34	ga_ls8c_ard_3-0-0_096078_2013-11-23_final
2013-11-23 09:56:58	ga_ls8c_ard_3-0-0_096079_2013-11-23_final
2013-11-23 09:57:22	ga_ls8c_ard_3-0-0_096080_2013-11-23_final
2013-11-23 09:57:46	ga_ls8c_ard_3-0-0_096081_2013-11-23_final
2013-11-23 09:58:10	ga_ls8c_ard_3-0-0_096082_2013-11-23_final
2013-11-25 09:47:01	ga_ls8c_ard_3-0-0_094085_2013-11-25_final
2013-11-25 09:47:25	ga_ls8c_ard_3-0-0_094086_2013-11-25_final
2013-11-25 09:47:49	ga_ls8c_ard_3-0-0_094087_2013-11-25_final
2013-11-30 10:01:11	ga_ls8c_ard_3-0-0_097074_2013-11-30_final
2013-11-30 10:01:35	ga_ls8c_ard_3-0-0_097075_2013-11-30_final
2013-11-30 10:01:59	ga_ls8c_ard_3-0-0_097076_2013-11-30_final
2014-01-28 09:46:31	ga_ls8c_ard_3-0-0_094085_2014-01-28_final
2014-01-28 09:46:55	ga_ls8c_ard_3-0-0_094086_2014-01-28_final
2014-01-28 09:47:19	ga_ls8c_ard_3-0-0_094087_2014-01-28_final
2014-01-31 10:10:12	ga_ls8c_ard_3-0-0_099067_2014-01-31_final
2014-01-31 10:10:36	ga_ls8c_ard_3-0-0_099068_2014-01-31_final
2014-03-31 09:54:48	ga_ls8c_ard_3-0-0_096077_2014-03-31_final
2014-03-31 09:55:12	ga_ls8c_ard_3-0-0_096078_2014-03-31_final
2014-03-31 09:55:36	ga_ls8c_ard_3-0-0_096079_2014-03-31_final
2014-03-31 09:56:00	ga_ls8c_ard_3-0-0_096080_2014-03-31_final
2014-03-31 09:56:24	ga_ls8c_ard_3-0-0_096081_2014-03-31_final
2014-03-31 09:56:48	ga_ls8c_ard_3-0-0_096082_2014-03-31_final
2014-05-04 09:45:05	ga_ls8c_ard_3-0-0_094085_2014-05-04_final
2014-05-04 09:45:29	ga_ls8c_ard_3-0-0_094086_2014-05-04_final
2014-05-04 09:45:53	ga_ls8c_ard_3-0-0_094087_2014-05-04_final
2014-05-07 10:08:45	ga_ls8c_ard_3-0-0_099067_2014-05-07_final
2014-05-07 10:09:09	ga_ls8c_ard_3-0-0_099068_2014-05-07_final
2014-05-18 09:54:06	ga_ls8c_ard_3-0-0_096077_2014-05-18_final
2014-05-18 09:54:30	ga_ls8c_ard_3-0-0_096078_2014-05-18_final
2014-05-18 09:54:54	ga_ls8c_ard_3-0-0_096079_2014-05-18_final
2014-05-18 09:55:18	ga_ls8c_ard_3-0-0_096080_2014-05-18_final
2014-05-18 09:55:42	ga_ls8c_ard_3-0-0_096081_2014-05-18_final
2014-05-18 09:56:06	ga_ls8c_ard_3-0-0_096082_2014-05-18_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
2017-09-22 09:58:56	ga_ls8c_ard_3-0-0_097072_2017-09-22_final
2017-09-22 09:59:20	ga_ls8c_ard_3-0-0_097073_2017-09-22_final
2017-09-22 09:59:44	ga_ls8c_ard_3-0-0_097074_2017-09-22_final
2017-09-22 10:00:08	ga_ls8c_ard_3-0-0_097075_2017-09-22_final
2017-09-22 10:00:32	ga_ls8c_ard_3-0-0_097076_2017-09-22_final
2017-09-22 10:00:56	ga_ls8c_ard_3-0-0_097077_2017-09-22_final
2017-09-22 10:01:20	ga_ls8c_ard_3-0-0_097078_2017-09-22_final
2017-09-24 09:50:11	ga_ls8c_ard_3-0-0_095081_2017-09-24_final
2017-09-24 09:50:35	ga_ls8c_ard_3-0-0_095082_2017-09-24_final
2017-09-24 09:50:59	ga_ls8c_ard_3-0-0_095083_2017-09-24_final
2017-09-24 09:51:23	ga_ls8c_ard_3-0-0_095084_2017-09-24_final
2017-09-24 09:51:47	ga_ls8c_ard_3-0-0_095085_2017-09-24_final
2017-09-24 09:52:11	ga_ls8c_ard_3-0-0_095086_2017-09-24_final
2017-11-23 10:08:56	ga_ls8c_ard_3-2-1_099066_2017-11-23_final
2017-11-23 10:09:20	ga_ls8c_ard_3-0-0_099067_2017-11-23_final
2017-11-23 10:09:44	ga_ls8c_ard_3-0-0_099068_2017-11-23_final
2017-11-25 09:58:57	ga_ls8c_ard_3-0-0_097072_2017-11-25_final
2017-11-25 09:59:21	ga_ls8c_ard_3-0-0_097073_2017-11-25_final
2017-11-25 09:59:45	ga_ls8c_ard_3-0-0_097074_2017-11-25_final
2017-11-25 10:00:09	ga_ls8c_ard_3-0-0_097075_2017-11-25_final
2017-11-25 10:00:32	ga_ls8c_ard_3-0-0_097076_2017-11-25_final
2017-11-25 10:00:56	ga_ls8c_ard_3-0-0_097077_2017-11-25_final
2017-11-25 10:01:20	ga_ls8c_ard_3-0-0_097078_2017-11-25_final
2017-12-02 10:03:30	ga_ls8c_ard_3-0-0_098068_2017-12-02_final
2017-12-02 10:03:54	ga_ls8c_ard_3-0-0_098069_2017-12-02_final
2017-12-02 10:04:17	ga_ls8c_ard_3-0-0_098070_2017-12-02_final
2017-12-02 10:04:41	ga_ls8c_ard_3-0-0_098071_2017-12-02_final
2017-12-02 10:05:05	ga_ls8c_ard_3-0-0_098072_2017-12-02_final
2017-12-02 10:05:29	ga_ls8c_ard_3-0-0_098073_2017-12-02_final
2017-12-04 09:54:43	ga_ls8c_ard_3-0-0_096077_2017-12-04_final
2017-12-04 09:55:07	ga_ls8c_ard_3-0-0_096078_2017-12-04_final
2017-12-04 09:55:31	ga_ls8c_ard_3-0-0_096079_2017-12-04_final
2017-12-04 09:55:55	ga_ls8c_ard_3-0-0_096080_2017-12-04_final
2017-12-04 09:56:19	ga_ls8c_ard_3-0-0_096081_2017-12-04_final
2017-12-04 09:56:43	ga_ls8c_ard_3-0-0_096082_2017-12-04_final
2017-12-06 09:45:33	ga_ls8c_ard_3-0-0_094085_2017-12-06_final
2017-12-06 09:45:57	ga_ls8c_ard_3-0-0_094086_2017-12-06_final
2017-12-06 09:46:21	ga_ls8c_ard_3-0-0_094087_2017-12-06_final
2017-12-06 09:46:45	ga_ls8c_ard_3-0-0_094088_2017-12-06_final
2017-12-25 10:08:55	ga_ls8c_ard_3-2-1_099066_2017-12-25_final
2017-12-25 10:09:19	ga_ls8c_ard_3-0-0_099067_2017-12-25_final
2017-12-25 10:09:43	ga_ls8c_ard_3-0-0_099068_2017-12-25_final
2017-12-27 09:58:57	ga_ls8c_ard_3-0-0_097072_2017-12-27_final
2017-12-27 09:59:20	ga_ls8c_ard_3-0-0_097073_2017-12-27_final
2017-12-27 09:59:44	ga_ls8c_ard_3-0-0_097074_2017-12-27_final
2017-12-27 10:00:08	ga_ls8c_ard_3-0-0_097075_2017-12-27_final
2017-12-27 10:00:32	ga_ls8c_ard_3-0-0_097076_2017-12-27_final
2017-12-27 10:00:56	ga_ls8c_ard_3-0-0_097077_2017-12-27_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