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
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
2015-10-09 09:22:06	ga_ls8c_ard_3-0-0_091073_2015-10-08_final
2015-10-11 09:12:08	ga_ls8c_ard_3-0-0_089079_2015-10-10_final
2015-10-11 09:12:32	ga_ls8c_ard_3-0-0_089080_2015-10-10_final
2015-10-11 09:12:56	ga_ls8c_ard_3-0-0_089081_2015-10-10_final
2015-10-11 09:13:20	ga_ls8c_ard_3-0-0_089082_2015-10-10_final
2015-10-11 09:13:44	ga_ls8c_ard_3-0-0_089083_2015-10-10_final
2015-10-11 09:14:07	ga_ls8c_ard_3-0-0_089084_2015-10-10_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
2015-11-03 09:17:37	ga_ls8c_ard_3-0-0_090077_2015-11-02_final
2015-11-03 09:18:01	ga_ls8c_ard_3-0-0_090078_2015-11-02_final
2015-11-03 09:18:25	ga_ls8c_ard_3-0-0_090079_2015-11-02_final
2015-11-03 09:18:49	ga_ls8c_ard_3-0-0_090080_2015-11-02_final
2015-11-05 09:07:39	ga_ls8c_ard_3-0-0_088083_2015-11-04_final
2015-12-30 09:12:14	ga_ls8c_ard_3-0-0_089079_2015-12-29_final
2015-12-30 09:12:38	ga_ls8c_ard_3-0-0_089080_2015-12-29_final
2015-12-30 09:13:02	ga_ls8c_ard_3-0-0_089081_2015-12-29_final
2015-12-30 09:13:26	ga_ls8c_ard_3-0-0_089082_2015-12-29_final
2015-12-30 09:13:50	ga_ls8c_ard_3-0-0_089083_2015-12-29_final
2015-12-30 09:14:14	ga_ls8c_ard_3-0-0_089084_2015-12-29_final
2016-01-04 09:25:57	ga_ls8c_ard_3-0-0_092067_2016-01-03_final
2016-01-04 09:26:21	ga_ls8c_ard_3-0-0_092068_2016-01-03_final
2016-01-29 09:21:45	ga_ls8c_ard_3-0-0_091072_2016-01-28_final
2016-01-29 09:22:09	ga_ls8c_ard_3-0-0_091073_2016-01-28_final
2016-01-29 09:22:33	ga_ls8c_ard_3-0-0_091074_2016-01-28_final
2016-01-29 09:22:57	ga_ls8c_ard_3-0-0_091075_2016-01-28_final
2016-01-31 09:12:10	ga_ls8c_ard_3-0-0_089079_2016-01-30_final
2016-01-31 09:12:34	ga_ls8c_ard_3-0-0_089080_2016-01-30_final
2016-01-31 09:12:58	ga_ls8c_ard_3-0-0_089081_2016-01-30_final
2016-01-31 09:13:22	ga_ls8c_ard_3-0-0_089082_2016-01-30_final
2016-01-31 09:13:46	ga_ls8c_ard_3-0-0_089083_2016-01-30_final
2016-01-31 09:14:10	ga_ls8c_ard_3-0-0_089084_2016-01-30_final
2016-02-05 09:25:54	ga_ls8c_ard_3-0-0_092067_2016-02-04_final
2016-02-05 09:26:18	ga_ls8c_ard_3-0-0_092068_2016-02-04_final
2016-02-05 09:27:30	ga_ls8c_ard_3-0-0_092071_2016-02-04_final
2016-02-21 09:25:46	ga_ls8c_ard_3-0-0_092067_2016-02-20_final
2016-02-21 09:26:09	ga_ls8c_ard_3-0-0_092068_2016-02-20_final
2016-03-17 09:21:30	ga_ls8c_ard_3-0-0_091072_2016-03-16_final
2016-03-17 09:21:54	ga_ls8c_ard_3-0-0_091073_2016-03-16_final
2016-03-17 09:22:18	ga_ls8c_ard_3-0-0_091074_2016-03-16_final
2016-03-17 09:22:42	ga_ls8c_ard_3-0-0_091075_2016-03-16_final
2016-03-19 09:11:55	ga_ls8c_ard_3-0-0_089079_2016-03-18_final
2016-03-19 09:12:19	ga_ls8c_ard_3-0-0_089080_2016-03-18_final
2016-03-19 09:12:43	ga_ls8c_ard_3-0-0_089081_2016-03-18_final
2016-03-19 09:13:07	ga_ls8c_ard_3-0-0_089082_2016-03-18_final
2016-03-19 09:13:31	ga_ls8c_ard_3-0-0_089083_2016-03-18_final
2016-03-19 09:13:54	ga_ls8c_ard_3-0-0_089084_2016-03-18_final
2016-03-26 09:16:01	ga_ls8c_ard_3-0-0_090074_2016-03-25_final
2016-03-26 09:16:25	ga_ls8c_ard_3-0-0_090075_2016-03-25_final
2016-03-26 09:16:49	ga_ls8c_ard_3-0-0_090076_2016-03-25_final
2016-03-26 09:17:13	ga_ls8c_ard_3-0-0_090077_2016-03-25_final
2016-03-26 09:17:37	ga_ls8c_ard_3-0-0_090078_2016-03-25_final
2016-03-28 09:07:14	ga_ls8c_ard_3-0-0_088083_2016-03-27_final
2016-03-28 09:07:38	ga_ls8c_ard_3-0-0_088084_2016-03-27_final
2016-04-09 09:25:29	ga_ls8c_ard_3-0-0_092067_2016-04-08_final
2016-04-09 09:25:53	ga_ls8c_ard_3-0-0_092068_2016-04-08_final
2016-04-09 09:27:05	ga_ls8c_ard_3-0-0_092071_2016-04-08_final
2016-04-11 09:15:55	ga_ls8c_ard_3-0-0_090074_2016-04-10_final
2016-04-11 09:16:19	ga_ls8c_ard_3-0-0_090075_2016-04-10_final
2016-04-11 09:16:43	ga_ls8c_ard_3-0-0_090076_2016-04-10_final
2016-04-11 09:17:07	ga_ls8c_ard_3-0-0_090077_2016-04-10_final
2016-04-11 09:17:30	ga_ls8c_ard_3-0-0_090078_2016-04-10_final
2016-04-11 09:17:54	ga_ls8c_ard_3-0-0_090079_2016-04-10_final
2016-04-11 09:18:18	ga_ls8c_ard_3-0-0_090080_2016-04-10_final
2016-04-20 09:11:40	ga_ls8c_ard_3-0-0_089079_2016-04-19_final
2016-04-20 09:12:04	ga_ls8c_ard_3-0-0_089080_2016-04-19_final
2016-04-20 09:12:28	ga_ls8c_ard_3-0-0_089081_2016-04-19_final
2016-04-20 09:12:52	ga_ls8c_ard_3-0-0_089082_2016-04-19_final
2016-04-20 09:13:16	ga_ls8c_ard_3-0-0_089083_2016-04-19_final
2016-04-20 09:13:39	ga_ls8c_ard_3-0-0_089084_2016-04-19_final
2016-04-25 09:25:22	ga_ls8c_ard_3-0-0_092067_2016-04-24_final
2016-04-25 09:25:46	ga_ls8c_ard_3-0-0_092068_2016-04-24_final
2019-01-07 09:11:59	ga_ls8c_ard_3-0-0_089079_2019-01-06_final
2019-01-07 09:12:23	ga_ls8c_ard_3-0-0_089080_2019-01-06_final
2019-01-07 09:12:47	ga_ls8c_ard_3-0-0_089081_2019-01-06_final
2019-01-07 09:13:10	ga_ls8c_ard_3-0-0_089082_2019-01-06_final
2019-01-07 09:13:34	ga_ls8c_ard_3-0-0_089083_2019-01-06_final
2019-01-07 09:13:58	ga_ls8c_ard_3-0-0_089084_2019-01-06_final
2023-09-22 09:16:22	ga_ls8c_ard_3-2-1_090074_2023-09-21_final
2023-09-22 09:16:46	ga_ls8c_ard_3-2-1_090075_2023-09-21_final
2023-09-22 09:17:10	ga_ls8c_ard_3-2-1_090076_2023-09-21_final
2023-09-22 09:17:34	ga_ls8c_ard_3-2-1_090077_2023-09-21_final
2023-09-22 09:17:58	ga_ls8c_ard_3-2-1_090078_2023-09-21_final
2023-09-22 09:18:22	ga_ls8c_ard_3-2-1_090079_2023-09-21_final
2023-09-22 09:18:46	ga_ls8c_ard_3-2-1_090080_2023-09-21_final
2023-09-24 09:07:37	ga_ls8c_ard_3-2-1_088083_2023-09-23_final
2023-10-08 09:16:26	ga_ls8c_ard_3-2-1_090074_2023-10-07_final
2023-10-08 09:16:50	ga_ls8c_ard_3-2-1_090075_2023-10-07_final
2023-10-08 09:17:14	ga_ls8c_ard_3-2-1_090076_2023-10-07_final
2023-10-08 09:17:38	ga_ls8c_ard_3-2-1_090077_2023-10-07_final
2023-10-08 09:18:02	ga_ls8c_ard_3-2-1_090078_2023-10-07_final
2023-10-08 09:18:26	ga_ls8c_ard_3-2-1_090079_2023-10-07_final
2023-10-08 09:18:50	ga_ls8c_ard_3-2-1_090080_2023-10-07_final
2023-10-10 09:07:41	ga_ls8c_ard_3-2-1_088083_2023-10-09_final
2023-10-15 09:21:51	ga_ls8c_ard_3-2-1_091072_2023-10-14_final
2023-10-15 09:22:15	ga_ls8c_ard_3-2-1_091073_2023-10-14_final
2023-10-15 09:22:39	ga_ls8c_ard_3-2-1_091074_2023-10-14_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