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
2013-05-30 09:13:46	ga_ls8c_ard_3-0-0_089078_2013-05-29_final
2013-05-30 09:14:10	ga_ls8c_ard_3-0-0_089079_2013-05-29_final
2013-05-30 09:14:34	ga_ls8c_ard_3-0-0_089080_2013-05-29_final
2013-06-22 09:19:24	ga_ls8c_ard_3-0-0_090077_2013-06-21_final
2013-08-09 09:19:31	ga_ls8c_ard_3-0-0_090077_2013-08-08_final
2013-08-23 09:27:55	ga_ls8c_ard_3-0-0_092067_2013-08-22_final
2013-08-23 09:28:18	ga_ls8c_ard_3-0-0_092068_2013-08-22_final
2013-09-12 09:08:20	ga_ls8c_ard_3-0-0_088080_2013-09-11_final
2013-09-12 09:08:44	ga_ls8c_ard_3-1-0_088081_2013-09-11_final
2013-09-12 09:09:08	ga_ls8c_ard_3-0-0_088082_2013-09-11_final
2013-09-12 09:09:32	ga_ls8c_ard_3-0-0_088083_2013-09-11_final
2013-10-05 09:13:36	ga_ls8c_ard_3-0-0_089078_2013-10-04_final
2013-10-05 09:14:00	ga_ls8c_ard_3-0-0_089079_2013-10-04_final
2013-10-05 09:14:24	ga_ls8c_ard_3-0-0_089080_2013-10-04_final
2013-10-05 09:14:48	ga_ls8c_ard_3-0-0_089081_2013-10-04_final
2013-10-05 09:15:12	ga_ls8c_ard_3-0-0_089082_2013-10-04_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
2013-11-22 09:14:54	ga_ls8c_ard_3-0-0_089082_2013-11-21_final
2013-11-27 09:27:29	ga_ls8c_ard_3-0-0_092067_2013-11-26_final
2013-11-27 09:27:53	ga_ls8c_ard_3-0-0_092068_2013-11-26_final
2013-11-29 09:18:19	ga_ls8c_ard_3-0-0_090075_2013-11-28_final
2013-11-29 09:18:43	ga_ls8c_ard_3-0-0_090076_2013-11-28_final
2013-11-29 09:19:07	ga_ls8c_ard_3-0-0_090077_2013-11-28_final
2013-12-31 09:18:06	ga_ls8c_ard_3-0-0_090075_2013-12-30_final
2013-12-31 09:18:30	ga_ls8c_ard_3-0-0_090076_2013-12-30_final
2013-12-31 09:18:54	ga_ls8c_ard_3-0-0_090077_2013-12-30_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
2014-01-25 09:14:26	ga_ls8c_ard_3-0-0_089082_2014-01-24_final
2014-02-10 09:13:02	ga_ls8c_ard_3-0-0_089079_2014-02-09_final
2014-02-10 09:13:26	ga_ls8c_ard_3-0-0_089080_2014-02-09_final
2014-02-10 09:13:50	ga_ls8c_ard_3-0-0_089081_2014-02-09_final
2014-02-10 09:14:14	ga_ls8c_ard_3-0-0_089082_2014-02-09_final
2016-05-11 09:25:25	ga_ls8c_ard_3-0-0_092067_2016-05-10_final
2016-05-11 09:25:49	ga_ls8c_ard_3-0-0_092068_2016-05-10_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
2016-05-20 09:21:40	ga_ls8c_ard_3-0-0_091073_2016-05-19_final
2016-05-27 09:25:30	ga_ls8c_ard_3-0-0_092067_2016-05-26_final
2016-05-27 09:25:54	ga_ls8c_ard_3-0-0_092068_2016-05-26_final
2016-06-05 09:19:46	ga_ls8c_ard_3-0-0_091068_2016-06-04_final
2016-06-05 09:21:22	ga_ls8c_ard_3-0-0_091072_2016-06-04_final
2016-06-05 09:21:45	ga_ls8c_ard_3-0-0_091073_2016-06-04_final
2016-06-12 09:25:34	ga_ls8c_ard_3-0-0_092067_2016-06-11_final
2016-06-12 09:25:58	ga_ls8c_ard_3-0-0_092068_2016-06-11_final
2016-06-30 09:16:08	ga_ls8c_ard_3-0-0_090074_2016-06-29_final
2016-06-30 09:16:32	ga_ls8c_ard_3-0-0_090075_2016-06-29_final
2016-06-30 09:16:56	ga_ls8c_ard_3-0-0_090076_2016-06-29_final
2016-06-30 09:17:20	ga_ls8c_ard_3-0-0_090077_2016-06-29_final
2016-07-07 09:19:59	ga_ls8c_ard_3-0-0_091068_2016-07-06_final
2016-07-16 09:16:15	ga_ls8c_ard_3-0-0_090074_2016-07-15_final
2016-07-16 09:16:39	ga_ls8c_ard_3-0-0_090075_2016-07-15_final
2016-07-16 09:17:03	ga_ls8c_ard_3-0-0_090076_2016-07-15_final
2016-07-16 09:17:27	ga_ls8c_ard_3-0-0_090077_2016-07-15_final
2016-07-18 09:06:18	ga_ls8c_ard_3-0-0_088080_2016-07-17_final
2016-07-18 09:06:42	ga_ls8c_ard_3-1-0_088081_2016-07-17_final
2016-07-18 09:07:06	ga_ls8c_ard_3-0-0_088082_2016-07-17_final
2016-07-18 09:07:30	ga_ls8c_ard_3-0-0_088083_2016-07-17_final
2016-07-18 09:07:54	ga_ls8c_ard_3-0-0_088084_2016-07-17_final
2016-07-30 09:25:53	ga_ls8c_ard_3-0-0_092067_2016-07-29_final
2016-07-30 09:26:17	ga_ls8c_ard_3-0-0_092068_2016-07-29_final
2016-08-10 09:10:57	ga_ls8c_ard_3-0-0_089076_2016-08-09_final
2016-08-10 09:11:21	ga_ls8c_ard_3-0-0_089077_2016-08-09_final
2016-08-10 09:11:45	ga_ls8c_ard_3-0-0_089078_2016-08-09_final
2016-08-10 09:12:09	ga_ls8c_ard_3-0-0_089079_2016-08-09_final
2016-08-10 09:12:33	ga_ls8c_ard_3-0-0_089080_2016-08-09_final
2016-08-10 09:12:57	ga_ls8c_ard_3-0-0_089081_2016-08-09_final
2016-08-10 09:13:21	ga_ls8c_ard_3-0-0_089082_2016-08-09_final
2019-01-30 09:16:04	ga_ls8c_ard_3-0-0_090074_2019-01-29_final
2019-01-30 09:16:28	ga_ls8c_ard_3-0-0_090075_2019-01-29_final
2019-02-01 09:06:30	ga_ls8c_ard_3-1-0_088081_2019-01-31_final
2019-02-01 09:06:54	ga_ls8c_ard_3-0-0_088082_2019-01-31_final
2019-02-01 09:07:18	ga_ls8c_ard_3-0-0_088083_2019-01-31_final
2019-02-01 09:07:42	ga_ls8c_ard_3-0-0_088084_2019-01-31_final
2019-03-12 09:10:32	ga_ls8c_ard_3-1-0_089076_2019-03-11_final
2019-03-12 09:10:56	ga_ls8c_ard_3-1-0_089077_2019-03-11_final
2019-03-12 09:11:20	ga_ls8c_ard_3-1-0_089078_2019-03-11_final
2019-03-12 09:11:44	ga_ls8c_ard_3-1-0_089079_2019-03-11_final
2019-03-12 09:12:08	ga_ls8c_ard_3-1-0_089080_2019-03-11_final
2019-03-12 09:12:32	ga_ls8c_ard_3-1-0_089081_2019-03-11_final
2019-03-12 09:12:56	ga_ls8c_ard_3-1-0_089082_2019-03-11_final
2019-04-04 09:15:50	ga_ls8c_ard_3-1-0_090074_2019-04-03_final
2019-04-04 09:16:14	ga_ls8c_ard_3-1-0_090075_2019-04-03_final
2019-04-04 09:16:38	ga_ls8c_ard_3-1-0_090076_2019-04-03_final
2019-04-04 09:17:02	ga_ls8c_ard_3-1-0_090077_2019-04-03_final
2019-04-06 09:06:15	ga_ls8c_ard_3-1-0_088081_2019-04-05_final
2019-04-06 09:06:39	ga_ls8c_ard_3-1-0_088082_2019-04-05_final
2019-04-06 09:07:03	ga_ls8c_ard_3-1-0_088083_2019-04-05_final
2019-04-06 09:07:27	ga_ls8c_ard_3-1-0_088084_2019-04-05_final
2019-04-29 09:10:19	ga_ls8c_ard_3-0-0_089076_2019-04-28_final
2019-04-29 09:10:43	ga_ls8c_ard_3-0-0_089077_2019-04-28_final
2019-04-29 09:11:07	ga_ls8c_ard_3-0-0_089078_2019-04-28_final
2019-04-29 09:11:31	ga_ls8c_ard_3-0-0_089079_2019-04-28_final
2019-04-29 09:11:55	ga_ls8c_ard_3-0-0_089080_2019-04-28_final
2019-04-29 09:12:19	ga_ls8c_ard_3-0-0_089081_2019-04-28_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