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
2018-11-27 09:16:14	ga_ls8c_ard_3-0-0_090074_2018-11-26_final
2018-11-27 09:16:37	ga_ls8c_ard_3-0-0_090075_2018-11-26_final
2018-11-27 09:17:01	ga_ls8c_ard_3-0-0_090076_2018-11-26_final
2018-11-27 09:17:25	ga_ls8c_ard_3-0-0_090077_2018-11-26_final
2018-11-27 09:17:49	ga_ls8c_ard_3-1-0_090078_2018-11-26_final
2018-11-27 09:18:13	ga_ls8c_ard_3-0-0_090079_2018-11-26_final
2018-11-27 09:18:37	ga_ls8c_ard_3-0-0_090080_2018-11-26_final
2018-12-31 09:07:00	ga_ls8c_ard_3-0-0_088082_2018-12-30_final
2018-12-31 09:07:24	ga_ls8c_ard_3-0-0_088083_2018-12-30_final
2018-12-31 09:07:48	ga_ls8c_ard_3-0-0_088084_2018-12-30_final
2021-05-04 09:11:14	ga_ls8c_ard_3-2-0_089078_2021-05-03_final
2021-05-04 09:11:38	ga_ls8c_ard_3-2-0_089079_2021-05-03_final
2021-05-04 09:12:01	ga_ls8c_ard_3-2-0_089080_2021-05-03_final
2021-05-04 09:12:25	ga_ls8c_ard_3-2-0_089081_2021-05-03_final
2021-05-04 09:12:49	ga_ls8c_ard_3-2-0_089082_2021-05-03_final
2021-05-04 09:13:13	ga_ls8c_ard_3-2-0_089083_2021-05-03_final
2021-05-04 09:13:37	ga_ls8c_ard_3-2-0_089084_2021-05-03_final
2021-05-09 09:25:23	ga_ls8c_ard_3-2-0_092067_2021-05-08_final
2021-05-09 09:25:47	ga_ls8c_ard_3-2-0_092068_2021-05-08_final
2021-05-11 09:15:50	ga_ls8c_ard_3-2-0_090074_2021-05-10_final
2021-05-11 09:16:14	ga_ls8c_ard_3-2-0_090075_2021-05-10_final
2021-05-11 09:16:38	ga_ls8c_ard_3-2-0_090076_2021-05-10_final
2021-05-11 09:17:02	ga_ls8c_ard_3-2-0_090077_2021-05-10_final
2021-05-11 09:17:26	ga_ls8c_ard_3-2-0_090078_2021-05-10_final
2021-05-11 09:17:50	ga_ls8c_ard_3-2-0_090079_2021-05-10_final
2021-05-27 09:16:00	ga_ls8c_ard_3-2-0_090074_2021-05-26_final
2021-05-27 09:16:24	ga_ls8c_ard_3-2-0_090075_2021-05-26_final
2021-05-27 09:16:48	ga_ls8c_ard_3-2-0_090076_2021-05-26_final
2021-05-27 09:17:12	ga_ls8c_ard_3-2-0_090077_2021-05-26_final
2021-05-27 09:17:36	ga_ls8c_ard_3-2-0_090078_2021-05-26_final
2021-05-27 09:18:00	ga_ls8c_ard_3-2-0_090079_2021-05-26_final
2021-05-27 09:18:24	ga_ls8c_ard_3-2-0_090080_2021-05-26_final
2021-07-28 09:25:54	ga_ls8c_ard_3-2-0_092067_2021-07-27_final
2021-07-28 09:26:17	ga_ls8c_ard_3-2-0_092068_2021-07-27_final
2021-07-30 09:16:20	ga_ls8c_ard_3-2-0_090074_2021-07-29_final
2021-07-30 09:16:44	ga_ls8c_ard_3-2-0_090075_2021-07-29_final
2021-07-30 09:17:08	ga_ls8c_ard_3-2-0_090076_2021-07-29_final
2021-07-30 09:17:32	ga_ls8c_ard_3-2-0_090077_2021-07-29_final
2021-07-30 09:17:56	ga_ls8c_ard_3-2-0_090078_2021-07-29_final
2021-07-30 09:18:20	ga_ls8c_ard_3-2-0_090079_2021-07-29_final
2021-07-30 09:18:44	ga_ls8c_ard_3-2-0_090080_2021-07-29_final
2021-10-16 09:26:18	ga_ls8c_ard_3-2-0_092067_2021-10-15_final
2021-10-16 09:26:41	ga_ls8c_ard_3-2-0_092068_2021-10-15_final
2021-10-18 09:16:44	ga_ls8c_ard_3-2-0_090074_2021-10-17_final
2021-10-18 09:17:08	ga_ls8c_ard_3-2-0_090075_2021-10-17_final
2021-10-18 09:17:32	ga_ls8c_ard_3-2-0_090076_2021-10-17_final
2021-10-18 09:17:55	ga_ls8c_ard_3-2-0_090077_2021-10-17_final
2021-10-18 09:18:19	ga_ls8c_ard_3-2-0_090078_2021-10-17_final
2021-10-18 09:18:43	ga_ls8c_ard_3-2-0_090079_2021-10-17_final
2021-10-18 09:19:07	ga_ls8c_ard_3-2-0_090080_2021-10-17_final
2021-10-20 09:07:34	ga_ls8c_ard_3-2-0_088082_2021-10-19_final
2021-10-20 09:07:58	ga_ls8c_ard_3-2-0_088083_2021-10-19_final
2021-10-20 09:08:22	ga_ls8c_ard_3-2-0_088084_2021-10-19_final
2021-10-25 09:22:07	ga_ls8c_ard_3-2-0_091072_2021-10-24_final
2021-10-25 09:22:31	ga_ls8c_ard_3-2-0_091073_2021-10-24_final
2021-10-25 09:22:55	ga_ls8c_ard_3-2-0_091074_2021-10-24_final
2021-10-25 09:23:19	ga_ls8c_ard_3-2-0_091075_2021-10-24_final
2022-01-06 09:17:44	ga_ls8c_ard_3-2-1_090077_2022-01-05_final
2022-01-06 09:18:08	ga_ls8c_ard_3-2-1_090078_2022-01-05_final
2022-01-06 09:18:32	ga_ls8c_ard_3-2-1_090079_2022-01-05_final
2022-01-06 09:18:56	ga_ls8c_ard_3-2-1_090080_2022-01-05_final
2022-01-29 09:21:49	ga_ls8c_ard_3-2-1_091072_2022-01-28_final
2022-01-29 09:22:13	ga_ls8c_ard_3-2-1_091073_2022-01-28_final
2022-01-29 09:22:37	ga_ls8c_ard_3-2-1_091074_2022-01-28_final
2022-01-29 09:23:01	ga_ls8c_ard_3-2-1_091075_2022-01-28_final
2022-01-31 09:12:15	ga_ls8c_ard_3-2-1_089079_2022-01-30_final
2022-01-31 09:12:39	ga_ls8c_ard_3-2-1_089080_2022-01-30_final
2022-01-31 09:13:03	ga_ls8c_ard_3-2-1_089081_2022-01-30_final
2022-01-31 09:13:27	ga_ls8c_ard_3-2-1_089082_2022-01-30_final
2022-01-31 09:13:51	ga_ls8c_ard_3-2-1_089083_2022-01-30_final
2022-01-31 09:14:15	ga_ls8c_ard_3-2-1_089084_2022-01-30_final
2022-05-14 09:16:13	ga_ls8c_ard_3-2-1_090074_2022-05-13_final
2022-05-14 09:16:37	ga_ls8c_ard_3-2-1_090075_2022-05-13_final
2022-05-14 09:17:01	ga_ls8c_ard_3-2-1_090076_2022-05-13_final
2022-05-14 09:17:25	ga_ls8c_ard_3-2-1_090077_2022-05-13_final
2022-05-14 09:17:49	ga_ls8c_ard_3-2-1_090078_2022-05-13_final
2022-05-14 09:18:13	ga_ls8c_ard_3-2-1_090079_2022-05-13_final
2022-05-14 09:18:37	ga_ls8c_ard_3-2-1_090080_2022-05-13_final
2022-09-21 09:07:47	ga_ls8c_ard_3-2-1_088082_2022-09-20_final
2022-09-21 09:08:11	ga_ls8c_ard_3-2-1_088083_2022-09-20_final
2022-10-23 09:07:44	ga_ls8c_ard_3-2-1_088082_2022-10-22_final
2022-10-23 09:08:08	ga_ls8c_ard_3-2-1_088083_2022-10-22_final
2022-10-28 09:22:19	ga_ls8c_ard_3-2-1_091072_2022-10-27_final
2022-10-28 09:22:43	ga_ls8c_ard_3-2-1_091073_2022-10-27_final
2022-10-28 09:23:07	ga_ls8c_ard_3-2-1_091074_2022-10-27_final
2022-10-28 09:23:31	ga_ls8c_ard_3-2-1_091075_2022-10-27_final
2022-10-30 09:12:21	ga_ls8c_ard_3-2-1_089078_2022-10-29_final
2022-10-30 09:12:45	ga_ls8c_ard_3-2-1_089079_2022-10-29_final
2022-10-30 09:13:09	ga_ls8c_ard_3-2-1_089080_2022-10-29_final
2022-10-30 09:13:33	ga_ls8c_ard_3-2-1_089081_2022-10-29_final
2022-10-30 09:13:57	ga_ls8c_ard_3-2-1_089082_2022-10-29_final
2022-10-30 09:14:21	ga_ls8c_ard_3-2-1_089083_2022-10-29_final
2022-10-30 09:14:45	ga_ls8c_ard_3-2-1_089084_2022-10-29_final
2022-11-06 09:16:56	ga_ls8c_ard_3-2-1_090074_2022-11-05_final
2022-11-06 09:17:20	ga_ls8c_ard_3-2-1_090075_2022-11-05_final
2022-11-06 09:17:44	ga_ls8c_ard_3-2-1_090076_2022-11-05_final
2022-11-06 09:18:08	ga_ls8c_ard_3-2-1_090077_2022-11-05_final
2022-11-06 09:18:32	ga_ls8c_ard_3-2-1_090078_2022-11-05_final
2022-11-06 09:18:56	ga_ls8c_ard_3-2-1_090079_2022-11-05_final
2022-11-06 09:19:20	ga_ls8c_ard_3-2-1_090080_2022-11-05_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