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
2013-06-15 09:13:41	ga_ls8c_ard_3-0-0_089078_2013-06-14_final
2013-06-15 09:14:05	ga_ls8c_ard_3-0-0_089079_2013-06-14_final
2013-06-15 09:14:29	ga_ls8c_ard_3-0-0_089080_2013-06-14_final
2013-06-15 09:14:53	ga_ls8c_ard_3-0-0_089081_2013-06-14_final
2013-08-11 09:08:21	ga_ls8c_ard_3-0-0_088080_2013-08-10_final
2013-08-11 09:08:45	ga_ls8c_ard_3-1-0_088081_2013-08-10_final
2013-08-11 09:09:09	ga_ls8c_ard_3-0-0_088082_2013-08-10_final
2013-10-28 09:18:25	ga_ls8c_ard_3-0-0_090075_2013-10-27_final
2013-10-28 09:18:49	ga_ls8c_ard_3-0-0_090076_2013-10-27_final
2013-10-28 09:19:13	ga_ls8c_ard_3-0-0_090077_2013-10-27_final
2013-10-30 09:08:03	ga_ls8c_ard_3-0-0_088080_2013-10-29_final
2013-10-30 09:08:27	ga_ls8c_ard_3-1-0_088081_2013-10-29_final
2013-11-22 09:12:55	ga_ls8c_ard_3-0-0_089077_2013-11-21_final
2013-11-22 09:13:18	ga_ls8c_ard_3-0-0_089078_2013-11-21_final
2013-11-22 09:13:42	ga_ls8c_ard_3-0-0_089079_2013-11-21_final
2013-11-27 09:27:29	ga_ls8c_ard_3-0-0_092067_2013-11-26_final
2013-12-08 09:12:56	ga_ls8c_ard_3-0-0_089077_2013-12-07_final
2013-12-08 09:13:20	ga_ls8c_ard_3-0-0_089078_2013-12-07_final
2013-12-08 09:13:44	ga_ls8c_ard_3-0-0_089079_2013-12-07_final
2013-12-08 09:14:08	ga_ls8c_ard_3-0-0_089080_2013-12-07_final
2013-12-08 09:14:31	ga_ls8c_ard_3-0-0_089081_2013-12-07_final
2013-12-24 09:12:46	ga_ls8c_ard_3-0-0_089077_2013-12-23_final
2013-12-24 09:13:10	ga_ls8c_ard_3-0-0_089078_2013-12-23_final
2013-12-24 09:13:34	ga_ls8c_ard_3-0-0_089079_2013-12-23_final
2013-12-24 09:13:58	ga_ls8c_ard_3-0-0_089080_2013-12-23_final
2013-12-24 09:14:22	ga_ls8c_ard_3-0-0_089081_2013-12-23_final
2013-12-29 09:27:17	ga_ls8c_ard_3-0-0_092067_2013-12-28_final
2014-01-09 09:13:00	ga_ls8c_ard_3-0-0_089078_2014-01-08_final
2014-01-14 09:27:03	ga_ls8c_ard_3-0-0_092067_2014-01-13_final
2014-01-25 09:12:26	ga_ls8c_ard_3-0-0_089077_2014-01-24_final
2014-01-25 09:12:50	ga_ls8c_ard_3-0-0_089078_2014-01-24_final
2014-01-25 09:13:14	ga_ls8c_ard_3-0-0_089079_2014-01-24_final
2014-01-25 09:13:38	ga_ls8c_ard_3-0-0_089080_2014-01-24_final
2014-01-25 09:14:02	ga_ls8c_ard_3-0-0_089081_2014-01-24_final
2014-03-21 09:17:07	ga_ls8c_ard_3-0-0_090075_2014-03-20_final
2014-03-21 09:17:31	ga_ls8c_ard_3-0-0_090076_2014-03-20_final
2014-03-21 09:17:55	ga_ls8c_ard_3-0-0_090077_2014-03-20_final
2014-03-23 09:06:42	ga_ls8c_ard_3-0-0_088080_2014-03-22_final
2014-03-23 09:07:06	ga_ls8c_ard_3-1-0_088081_2014-03-22_final
2014-03-23 09:07:30	ga_ls8c_ard_3-0-0_088082_2014-03-22_final
2014-04-08 09:06:28	ga_ls8c_ard_3-0-0_088080_2014-04-07_final
2014-04-08 09:06:52	ga_ls8c_ard_3-1-0_088081_2014-04-07_final
2014-04-08 09:07:16	ga_ls8c_ard_3-0-0_088082_2014-04-07_final
2014-04-13 09:20:07	ga_ls8c_ard_3-0-0_091068_2014-04-12_final
2014-04-24 09:06:12	ga_ls8c_ard_3-0-0_088080_2014-04-23_final
2014-04-24 09:06:36	ga_ls8c_ard_3-1-0_088081_2014-04-23_final
2014-04-24 09:07:00	ga_ls8c_ard_3-0-0_088082_2014-04-23_final
2014-05-31 09:21:16	ga_ls8c_ard_3-0-0_091072_2014-05-30_final
2014-06-25 09:16:25	ga_ls8c_ard_3-0-0_090075_2014-06-24_final
2014-06-25 09:16:49	ga_ls8c_ard_3-0-0_090076_2014-06-24_final
2014-06-25 09:17:12	ga_ls8c_ard_3-0-0_090077_2014-06-24_final
2016-05-20 09:19:41	ga_ls8c_ard_3-0-0_091068_2016-05-19_final
2016-05-20 09:21:16	ga_ls8c_ard_3-0-0_091072_2016-05-19_final
2016-05-27 09:25:30	ga_ls8c_ard_3-0-0_092067_2016-05-26_final
2016-05-29 09:15:57	ga_ls8c_ard_3-0-0_090074_2016-05-28_final
2016-05-29 09:16:21	ga_ls8c_ard_3-0-0_090075_2016-05-28_final
2016-05-29 09:16:45	ga_ls8c_ard_3-0-0_090076_2016-05-28_final
2016-06-05 09:21:22	ga_ls8c_ard_3-0-0_091072_2016-06-04_final
2016-06-07 09:10:12	ga_ls8c_ard_3-0-0_089075_2016-06-06_final
2016-06-07 09:10:36	ga_ls8c_ard_3-0-0_089076_2016-06-06_final
2016-06-07 09:11:00	ga_ls8c_ard_3-0-0_089077_2016-06-06_final
2016-06-07 09:11:24	ga_ls8c_ard_3-0-0_089078_2016-06-06_final
2016-06-07 09:11:48	ga_ls8c_ard_3-0-0_089079_2016-06-06_final
2016-06-07 09:12:12	ga_ls8c_ard_3-0-0_089080_2016-06-06_final
2016-06-07 09:12:36	ga_ls8c_ard_3-0-0_089081_2016-06-06_final
2016-06-16 09:06:02	ga_ls8c_ard_3-0-0_088080_2016-06-15_final
2016-06-16 09:06:26	ga_ls8c_ard_3-1-0_088081_2016-06-15_final
2016-06-16 09:06:50	ga_ls8c_ard_3-0-0_088082_2016-06-15_final
2016-06-16 09:07:14	ga_ls8c_ard_3-0-0_088083_2016-06-15_final
2016-06-16 09:07:38	ga_ls8c_ard_3-0-0_088084_2016-06-15_final
2016-06-21 09:19:50	ga_ls8c_ard_3-0-0_091068_2016-06-20_final
2016-06-21 09:21:26	ga_ls8c_ard_3-0-0_091072_2016-06-20_final
2016-06-28 09:25:41	ga_ls8c_ard_3-0-0_092067_2016-06-27_final
2016-07-23 09:20:05	ga_ls8c_ard_3-0-0_091068_2016-07-22_final
2016-07-23 09:21:40	ga_ls8c_ard_3-0-0_091072_2016-07-22_final
2016-08-08 09:20:07	ga_ls8c_ard_3-0-0_091068_2016-08-07_final
2016-08-08 09:21:43	ga_ls8c_ard_3-0-0_091072_2016-08-07_final
2016-08-26 09:10:40	ga_ls8c_ard_3-0-0_089075_2016-08-25_final
2016-08-26 09:11:04	ga_ls8c_ard_3-0-0_089076_2016-08-25_final
2016-08-26 09:11:28	ga_ls8c_ard_3-0-0_089077_2016-08-25_final
2016-08-26 09:11:52	ga_ls8c_ard_3-0-0_089078_2016-08-25_final
2016-08-26 09:12:16	ga_ls8c_ard_3-0-0_089079_2016-08-25_final
2016-08-26 09:12:40	ga_ls8c_ard_3-0-0_089080_2016-08-25_final
2016-08-26 09:13:04	ga_ls8c_ard_3-0-0_089081_2016-08-25_final
2016-09-25 09:21:55	ga_ls8c_ard_3-0-0_091072_2016-09-24_final
2016-10-02 09:26:07	ga_ls8c_ard_3-0-0_092067_2016-10-01_final
2016-10-11 09:20:24	ga_ls8c_ard_3-0-0_091068_2016-10-10_final
2016-10-11 09:21:59	ga_ls8c_ard_3-0-0_091072_2016-10-10_final
2021-02-06 09:06:27	ga_ls8c_ard_3-2-0_088080_2021-02-05_final
2021-02-06 09:06:51	ga_ls8c_ard_3-2-0_088081_2021-02-05_final
2021-02-06 09:07:15	ga_ls8c_ard_3-2-0_088082_2021-02-05_final
2021-02-06 09:07:39	ga_ls8c_ard_3-2-0_088083_2021-02-05_final
2021-02-06 09:08:03	ga_ls8c_ard_3-2-0_088084_2021-02-05_final
2021-02-11 09:20:11	ga_ls8c_ard_3-2-0_091068_2021-02-10_final
2021-02-11 09:21:47	ga_ls8c_ard_3-2-0_091072_2021-02-10_final
2021-02-13 09:11:00	ga_ls8c_ard_3-2-0_089076_2021-02-12_final
2021-02-13 09:11:24	ga_ls8c_ard_3-2-0_089077_2021-02-12_final
2021-02-13 09:11:48	ga_ls8c_ard_3-2-0_089078_2021-02-12_final
2021-02-13 09:12:12	ga_ls8c_ard_3-2-0_089079_2021-02-12_final
2021-02-13 09:12:36	ga_ls8c_ard_3-2-0_089080_2021-02-12_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