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
2014-07-27 09:16:36	ga_ls8c_ard_3-0-0_090075_2014-07-26_final
2014-07-27 09:17:00	ga_ls8c_ard_3-0-0_090076_2014-07-26_final
2014-08-05 09:10:32	ga_ls8c_ard_3-0-0_089075_2014-08-04_final
2014-08-05 09:10:55	ga_ls8c_ard_3-0-0_089076_2014-08-04_final
2014-08-05 09:11:19	ga_ls8c_ard_3-0-0_089077_2014-08-04_final
2014-08-05 09:11:43	ga_ls8c_ard_3-0-0_089078_2014-08-04_final
2014-08-05 09:12:07	ga_ls8c_ard_3-0-0_089079_2014-08-04_final
2014-08-05 09:12:31	ga_ls8c_ard_3-0-0_089080_2014-08-04_final
2014-08-05 09:12:55	ga_ls8c_ard_3-0-0_089081_2014-08-04_final
2014-08-19 09:20:10	ga_ls8c_ard_3-0-0_091068_2014-08-18_final
2014-10-15 09:16:56	ga_ls8c_ard_3-0-0_090075_2014-10-14_final
2014-10-15 09:17:20	ga_ls8c_ard_3-0-0_090076_2014-10-14_final
2014-11-16 09:16:55	ga_ls8c_ard_3-0-0_090075_2014-11-15_final
2014-11-16 09:17:18	ga_ls8c_ard_3-0-0_090076_2014-11-15_final
2014-11-18 09:06:31	ga_ls8c_ard_3-0-0_088080_2014-11-17_final
2014-11-18 09:06:55	ga_ls8c_ard_3-1-0_088081_2014-11-17_final
2014-11-18 09:07:19	ga_ls8c_ard_3-0-0_088082_2014-11-17_final
2014-12-04 09:06:31	ga_ls8c_ard_3-0-0_088080_2014-12-03_final
2014-12-04 09:06:55	ga_ls8c_ard_3-1-0_088081_2014-12-03_final
2014-12-04 09:07:18	ga_ls8c_ard_3-0-0_088082_2014-12-03_final
2014-12-16 09:25:59	ga_ls8c_ard_3-0-0_092067_2014-12-15_final
2015-02-06 09:06:15	ga_ls8c_ard_3-0-0_088080_2015-02-05_final
2015-02-06 09:06:39	ga_ls8c_ard_3-1-0_088081_2015-02-05_final
2015-02-06 09:07:03	ga_ls8c_ard_3-0-0_088082_2015-02-05_final
2015-04-11 09:05:19	ga_ls8c_ard_3-0-0_088079_2015-04-10_final
2015-04-11 09:05:42	ga_ls8c_ard_3-0-0_088080_2015-04-10_final
2015-04-11 09:06:06	ga_ls8c_ard_3-1-0_088081_2015-04-10_final
2015-04-11 09:06:30	ga_ls8c_ard_3-0-0_088082_2015-04-10_final
2015-04-11 09:06:54	ga_ls8c_ard_3-0-0_088083_2015-04-10_final
2015-04-11 09:07:18	ga_ls8c_ard_3-0-0_088084_2015-04-10_final
2015-05-25 09:24:56	ga_ls8c_ard_3-0-0_092067_2015-05-24_final
2015-07-05 09:19:32	ga_ls8c_ard_3-0-0_091068_2015-07-04_final
2015-08-06 09:19:42	ga_ls8c_ard_3-0-0_091068_2015-08-05_final
2015-08-29 09:25:40	ga_ls8c_ard_3-0-0_092067_2015-08-28_final
2015-09-18 09:05:53	ga_ls8c_ard_3-0-0_088079_2015-09-17_final
2015-09-18 09:06:17	ga_ls8c_ard_3-0-0_088080_2015-09-17_final
2015-09-18 09:06:41	ga_ls8c_ard_3-1-0_088081_2015-09-17_final
2015-09-18 09:07:05	ga_ls8c_ard_3-0-0_088082_2015-09-17_final
2015-09-18 09:07:29	ga_ls8c_ard_3-0-0_088083_2015-09-17_final
2015-09-18 09:07:53	ga_ls8c_ard_3-0-0_088084_2015-09-17_final
2015-09-23 09:20:04	ga_ls8c_ard_3-0-0_091068_2015-09-22_final
2015-10-04 09:05:57	ga_ls8c_ard_3-0-0_088079_2015-10-03_final
2015-10-04 09:06:21	ga_ls8c_ard_3-0-0_088080_2015-10-03_final
2015-10-04 09:06:45	ga_ls8c_ard_3-0-0_088081_2015-10-03_final
2015-10-04 09:07:09	ga_ls8c_ard_3-0-0_088082_2015-10-03_final
2015-10-04 09:07:33	ga_ls8c_ard_3-0-0_088083_2015-10-03_final
2015-10-04 09:07:57	ga_ls8c_ard_3-0-0_088084_2015-10-03_final
2015-10-16 09:25:52	ga_ls8c_ard_3-0-0_092067_2015-10-15_final
2015-10-18 09:16:20	ga_ls8c_ard_3-0-0_090074_2015-10-17_final
2015-10-18 09:16:43	ga_ls8c_ard_3-0-0_090075_2015-10-17_final
2015-10-18 09:17:07	ga_ls8c_ard_3-0-0_090076_2015-10-17_final
2015-11-03 09:16:25	ga_ls8c_ard_3-0-0_090074_2015-11-02_final
2015-11-03 09:16:49	ga_ls8c_ard_3-0-0_090075_2015-11-02_final
2015-11-03 09:17:13	ga_ls8c_ard_3-0-0_090076_2015-11-02_final
2015-11-05 09:06:03	ga_ls8c_ard_3-0-0_088079_2015-11-04_final
2015-11-05 09:06:27	ga_ls8c_ard_3-0-0_088080_2015-11-04_final
2015-11-05 09:06:51	ga_ls8c_ard_3-1-0_088081_2015-11-04_final
2015-11-12 09:10:37	ga_ls8c_ard_3-0-0_089075_2015-11-11_final
2015-11-12 09:11:01	ga_ls8c_ard_3-0-0_089076_2015-11-11_final
2015-11-12 09:11:25	ga_ls8c_ard_3-0-0_089077_2015-11-11_final
2015-11-12 09:11:49	ga_ls8c_ard_3-0-0_089078_2015-11-11_final
2015-11-12 09:12:13	ga_ls8c_ard_3-0-0_089079_2015-11-11_final
2015-11-12 09:12:37	ga_ls8c_ard_3-0-0_089080_2015-11-11_final
2015-11-12 09:13:01	ga_ls8c_ard_3-0-0_089081_2015-11-11_final
2015-11-17 09:26:00	ga_ls8c_ard_3-0-0_092067_2015-11-16_final
2015-11-26 09:20:14	ga_ls8c_ard_3-0-0_091068_2015-11-25_final
2017-09-19 09:26:01	ga_ls8c_ard_3-0-0_092067_2017-09-18_final
2017-10-09 09:06:12	ga_ls8c_ard_3-0-0_088079_2017-10-08_final
2017-10-09 09:06:36	ga_ls8c_ard_3-0-0_088080_2017-10-08_final
2017-10-09 09:07:00	ga_ls8c_ard_3-1-0_088081_2017-10-08_final
2017-10-09 09:07:24	ga_ls8c_ard_3-0-0_088082_2017-10-08_final
2017-10-09 09:07:48	ga_ls8c_ard_3-0-0_088083_2017-10-08_final
2017-10-09 09:08:12	ga_ls8c_ard_3-0-0_088084_2017-10-08_final
2017-10-23 09:16:36	ga_ls8c_ard_3-0-0_090074_2017-10-22_final
2017-10-23 09:17:00	ga_ls8c_ard_3-0-0_090075_2017-10-22_final
2017-10-23 09:17:24	ga_ls8c_ard_3-0-0_090076_2017-10-22_final
2017-10-30 09:20:23	ga_ls8c_ard_3-0-0_091068_2017-10-29_final
2017-11-01 09:10:49	ga_ls8c_ard_3-0-0_089075_2017-10-31_final
2017-11-01 09:11:13	ga_ls8c_ard_3-0-0_089076_2017-10-31_final
2017-11-01 09:11:37	ga_ls8c_ard_3-0-0_089077_2017-10-31_final
2017-11-01 09:12:01	ga_ls8c_ard_3-0-0_089078_2017-10-31_final
2017-11-01 09:12:25	ga_ls8c_ard_3-0-0_089079_2017-10-31_final
2017-11-01 09:12:49	ga_ls8c_ard_3-0-0_089080_2017-10-31_final
2017-11-01 09:13:13	ga_ls8c_ard_3-0-0_089081_2017-10-31_final
2017-11-24 09:16:29	ga_ls8c_ard_3-0-0_090074_2017-11-23_final
2017-11-24 09:16:53	ga_ls8c_ard_3-0-0_090075_2017-11-23_final
2017-11-24 09:17:17	ga_ls8c_ard_3-0-0_090076_2017-11-23_final
2017-12-03 09:10:40	ga_ls8c_ard_3-0-0_089075_2017-12-02_final
2017-12-03 09:11:04	ga_ls8c_ard_3-0-0_089076_2017-12-02_final
2017-12-03 09:11:28	ga_ls8c_ard_3-0-0_089077_2017-12-02_final
2017-12-03 09:11:52	ga_ls8c_ard_3-0-0_089078_2017-12-02_final
2017-12-03 09:12:16	ga_ls8c_ard_3-0-0_089079_2017-12-02_final
2017-12-03 09:12:40	ga_ls8c_ard_3-0-0_089080_2017-12-02_final
2017-12-03 09:13:04	ga_ls8c_ard_3-0-0_089081_2017-12-02_final
2017-12-17 09:20:16	ga_ls8c_ard_3-0-0_091068_2017-12-16_final
2017-12-26 09:16:29	ga_ls8c_ard_3-0-0_090074_2017-12-25_final
2017-12-26 09:16:53	ga_ls8c_ard_3-0-0_090075_2017-12-25_final
2017-12-26 09:17:17	ga_ls8c_ard_3-0-0_090076_2017-12-25_final
2018-01-27 09:16:14	ga_ls8c_ard_3-0-0_090074_2018-01-26_final
2018-01-27 09:16:38	ga_ls8c_ard_3-0-0_090075_2018-01-26_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