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
2013-11-13 09:18:25	ga_ls8c_ard_3-0-0_090075_2013-11-12_final
2013-11-13 09:18:49	ga_ls8c_ard_3-0-0_090076_2013-11-12_final
2015-07-07 09:11:35	ga_ls8c_ard_3-0-0_089079_2015-07-06_final
2015-07-07 09:11:59	ga_ls8c_ard_3-0-0_089080_2015-07-06_final
2015-07-07 09:12:23	ga_ls8c_ard_3-0-0_089081_2015-07-06_final
2015-07-07 09:12:47	ga_ls8c_ard_3-0-0_089082_2015-07-06_final
2015-07-07 09:13:11	ga_ls8c_ard_3-0-0_089083_2015-07-06_final
2015-07-07 09:13:35	ga_ls8c_ard_3-0-0_089084_2015-07-06_final
2015-07-07 09:13:59	ga_ls8c_ard_3-0-0_089085_2015-07-06_final
2015-08-08 09:11:45	ga_ls8c_ard_3-0-0_089079_2015-08-07_final
2015-08-08 09:12:09	ga_ls8c_ard_3-0-0_089080_2015-08-07_final
2015-08-08 09:12:33	ga_ls8c_ard_3-0-0_089081_2015-08-07_final
2015-08-08 09:12:57	ga_ls8c_ard_3-0-0_089082_2015-08-07_final
2015-08-08 09:13:21	ga_ls8c_ard_3-0-0_089083_2015-08-07_final
2015-08-08 09:13:45	ga_ls8c_ard_3-0-0_089084_2015-08-07_final
2015-08-08 09:14:09	ga_ls8c_ard_3-0-0_089085_2015-08-07_final
2015-09-09 09:11:59	ga_ls8c_ard_3-0-0_089079_2015-09-08_final
2015-09-09 09:12:23	ga_ls8c_ard_3-0-0_089080_2015-09-08_final
2015-09-09 09:12:47	ga_ls8c_ard_3-0-0_089081_2015-09-08_final
2015-09-09 09:13:11	ga_ls8c_ard_3-0-0_089082_2015-09-08_final
2015-09-09 09:13:35	ga_ls8c_ard_3-0-0_089083_2015-09-08_final
2015-09-09 09:13:59	ga_ls8c_ard_3-0-0_089084_2015-09-08_final
2015-09-09 09:14:23	ga_ls8c_ard_3-0-0_089085_2015-09-08_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
2015-10-18 09:17:31	ga_ls8c_ard_3-0-0_090077_2015-10-17_final
2015-10-18 09:17:55	ga_ls8c_ard_3-0-0_090078_2015-10-17_final
2015-10-18 09:18:19	ga_ls8c_ard_3-0-0_090079_2015-10-17_final
2015-10-18 09:18:43	ga_ls8c_ard_3-0-0_090080_2015-10-17_final
2015-10-18 09:19:07	ga_ls8c_ard_3-0-0_090081_2015-10-17_final
2015-10-27 09:12:13	ga_ls8c_ard_3-0-0_089079_2015-10-26_final
2015-10-27 09:12:37	ga_ls8c_ard_3-0-0_089080_2015-10-26_final
2015-10-27 09:13:00	ga_ls8c_ard_3-0-0_089081_2015-10-26_final
2015-10-27 09:13:24	ga_ls8c_ard_3-0-0_089082_2015-10-26_final
2015-10-27 09:13:48	ga_ls8c_ard_3-0-0_089083_2015-10-26_final
2015-10-27 09:14:12	ga_ls8c_ard_3-0-0_089084_2015-10-26_final
2015-10-27 09:14:36	ga_ls8c_ard_3-0-0_089085_2015-10-26_final
2015-11-19 09:16:50	ga_ls8c_ard_3-0-0_090075_2015-11-18_final
2015-11-19 09:17:14	ga_ls8c_ard_3-0-0_090076_2015-11-18_final
2015-11-19 09:17:38	ga_ls8c_ard_3-0-0_090077_2015-11-18_final
2015-11-19 09:18:02	ga_ls8c_ard_3-0-0_090078_2015-11-18_final
2015-11-19 09:18:26	ga_ls8c_ard_3-0-0_090079_2015-11-18_final
2015-11-19 09:18:50	ga_ls8c_ard_3-0-0_090080_2015-11-18_final
2015-11-19 09:19:14	ga_ls8c_ard_3-0-0_090081_2015-11-18_final
2018-02-21 09:12:17	ga_ls8c_ard_3-0-0_089080_2018-02-20_final
2018-02-21 09:12:41	ga_ls8c_ard_3-0-0_089081_2018-02-20_final
2018-02-21 09:13:05	ga_ls8c_ard_3-0-0_089082_2018-02-20_final
2018-02-21 09:13:29	ga_ls8c_ard_3-0-0_089083_2018-02-20_final
2018-02-21 09:13:53	ga_ls8c_ard_3-0-0_089084_2018-02-20_final
2018-02-21 09:14:17	ga_ls8c_ard_3-0-0_089085_2018-02-20_final
2018-02-26 09:25:36	ga_ls8c_ard_3-0-0_092067_2018-02-25_final
2018-02-26 09:26:00	ga_ls8c_ard_3-0-0_092068_2018-02-25_final
2018-02-26 09:27:12	ga_ls8c_ard_3-0-0_092071_2018-02-25_final
2018-02-26 09:27:36	ga_ls8c_ard_3-0-0_092072_2018-02-25_final
2018-03-14 09:25:27	ga_ls8c_ard_3-0-0_092067_2018-03-13_final
2018-03-14 09:25:51	ga_ls8c_ard_3-0-0_092068_2018-03-13_final
2018-03-14 09:27:02	ga_ls8c_ard_3-0-0_092071_2018-03-13_final
2018-03-14 09:27:26	ga_ls8c_ard_3-0-0_092072_2018-03-13_final
2018-03-30 09:25:20	ga_ls8c_ard_3-0-0_092067_2018-03-29_final
2018-03-30 09:25:44	ga_ls8c_ard_3-0-0_092068_2018-03-29_final
2018-03-30 09:26:56	ga_ls8c_ard_3-0-0_092071_2018-03-29_final
2018-03-30 09:27:20	ga_ls8c_ard_3-0-0_092072_2018-03-29_final
2018-04-08 09:21:04	ga_ls8c_ard_3-0-0_091072_2018-04-07_final
2018-04-08 09:21:28	ga_ls8c_ard_3-0-0_091073_2018-04-07_final
2018-04-08 09:21:52	ga_ls8c_ard_3-0-0_091074_2018-04-07_final
2018-04-08 09:22:16	ga_ls8c_ard_3-0-0_091075_2018-04-07_final
2018-04-08 09:22:40	ga_ls8c_ard_3-0-0_091076_2018-04-07_final
2018-04-15 09:25:11	ga_ls8c_ard_3-0-0_092067_2018-04-14_final
2018-04-15 09:25:35	ga_ls8c_ard_3-0-0_092068_2018-04-14_final
2018-04-15 09:26:47	ga_ls8c_ard_3-0-0_092071_2018-04-14_final
2018-04-15 09:27:11	ga_ls8c_ard_3-0-0_092072_2018-04-14_final
2018-05-01 09:25:02	ga_ls8c_ard_3-0-0_092067_2018-04-30_final
2018-05-01 09:25:26	ga_ls8c_ard_3-0-0_092068_2018-04-30_final
2018-05-01 09:26:38	ga_ls8c_ard_3-0-0_092071_2018-04-30_final
2018-05-01 09:27:02	ga_ls8c_ard_3-0-0_092072_2018-04-30_final
2018-05-17 09:24:52	ga_ls8c_ard_3-0-0_092067_2018-05-16_final
2018-05-17 09:25:16	ga_ls8c_ard_3-0-0_092068_2018-05-16_final
2018-05-17 09:26:27	ga_ls8c_ard_3-0-0_092071_2018-05-16_final
2018-05-17 09:26:51	ga_ls8c_ard_3-0-0_092072_2018-05-16_final
2018-06-11 09:20:31	ga_ls8c_ard_3-0-0_091072_2018-06-10_final
2018-06-11 09:20:55	ga_ls8c_ard_3-0-0_091073_2018-06-10_final
2018-06-11 09:21:19	ga_ls8c_ard_3-0-0_091074_2018-06-10_final
2018-06-11 09:21:43	ga_ls8c_ard_3-0-0_091075_2018-06-10_final
2018-06-11 09:22:07	ga_ls8c_ard_3-0-0_091076_2018-06-10_final
2018-06-13 09:10:59	ga_ls8c_ard_3-0-0_089079_2018-06-12_final
2018-06-13 09:11:23	ga_ls8c_ard_3-0-0_089080_2018-06-12_final
2018-06-13 09:11:47	ga_ls8c_ard_3-0-0_089081_2018-06-12_final
2018-06-13 09:12:11	ga_ls8c_ard_3-0-0_089082_2018-06-12_final
2018-06-13 09:12:35	ga_ls8c_ard_3-0-0_089083_2018-06-12_final
2018-06-13 09:12:59	ga_ls8c_ard_3-0-0_089084_2018-06-12_final
2018-06-13 09:13:23	ga_ls8c_ard_3-0-0_089085_2018-06-12_final
2018-06-29 09:11:09	ga_ls8c_ard_3-0-0_089079_2018-06-28_final
2018-06-29 09:11:33	ga_ls8c_ard_3-0-0_089080_2018-06-28_final
2018-06-29 09:11:57	ga_ls8c_ard_3-0-0_089081_2018-06-28_final
2018-06-29 09:12:21	ga_ls8c_ard_3-0-0_089082_2018-06-28_final
2018-06-29 09:12:45	ga_ls8c_ard_3-0-0_089083_2018-06-28_final
2018-06-29 09:13:09	ga_ls8c_ard_3-0-0_089084_2018-06-28_final
2018-06-29 09:13:33	ga_ls8c_ard_3-0-0_089085_2018-06-28_final
2018-07-04 09:24:57	ga_ls8c_ard_3-0-0_092067_2018-07-03_final
2018-07-04 09:25:21	ga_ls8c_ard_3-0-0_092068_2018-07-03_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