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
2017-05-14 09:25:17	ga_ls8c_ard_3-0-0_092067_2017-05-13_final
2017-05-14 09:25:41	ga_ls8c_ard_3-0-0_092068_2017-05-13_final
2017-11-06 09:26:09	ga_ls8c_ard_3-0-0_092067_2017-11-05_final
2017-11-06 09:26:33	ga_ls8c_ard_3-0-0_092068_2017-11-05_final
2017-11-15 09:21:56	ga_ls8c_ard_3-0-0_091072_2017-11-14_final
2017-11-15 09:22:20	ga_ls8c_ard_3-0-0_091073_2017-11-14_final
2017-11-15 09:22:44	ga_ls8c_ard_3-0-0_091074_2017-11-14_final
2017-11-15 09:23:08	ga_ls8c_ard_3-0-0_091075_2017-11-14_final
2017-11-15 09:23:32	ga_ls8c_ard_3-0-0_091076_2017-11-14_final
2017-12-01 09:21:50	ga_ls8c_ard_3-0-0_091072_2017-11-30_final
2017-12-01 09:22:14	ga_ls8c_ard_3-0-0_091073_2017-11-30_final
2017-12-01 09:22:37	ga_ls8c_ard_3-0-0_091074_2017-11-30_final
2017-12-01 09:23:01	ga_ls8c_ard_3-0-0_091075_2017-11-30_final
2017-12-01 09:23:25	ga_ls8c_ard_3-0-0_091076_2017-11-30_final
2017-12-08 09:26:01	ga_ls8c_ard_3-0-0_092067_2017-12-07_final
2017-12-08 09:26:25	ga_ls8c_ard_3-0-0_092068_2017-12-07_final
2017-12-15 09:32:13	ga_ls8c_ard_3-0-0_093067_2017-12-15_final
2017-12-17 09:21:52	ga_ls8c_ard_3-0-0_091072_2017-12-16_final
2017-12-17 09:22:16	ga_ls8c_ard_3-0-0_091073_2017-12-16_final
2017-12-17 09:22:40	ga_ls8c_ard_3-0-0_091074_2017-12-16_final
2017-12-17 09:23:04	ga_ls8c_ard_3-0-0_091075_2017-12-16_final
2017-12-17 09:23:28	ga_ls8c_ard_3-0-0_091076_2017-12-16_final
2018-01-16 09:32:06	ga_ls8c_ard_3-0-0_093067_2018-01-16_final
2020-10-04 09:32:22	ga_ls8c_ard_3-1-0_093067_2020-10-04_final
2020-10-08 09:12:27	ga_ls8c_ard_3-1-0_089079_2020-10-07_final
2020-10-08 09:12:51	ga_ls8c_ard_3-1-0_089080_2020-10-07_final
2020-10-08 09:13:14	ga_ls8c_ard_3-1-0_089081_2020-10-07_final
2020-10-08 09:13:38	ga_ls8c_ard_3-1-0_089082_2020-10-07_final
2020-10-08 09:14:02	ga_ls8c_ard_3-1-0_089083_2020-10-07_final
2020-10-08 09:14:26	ga_ls8c_ard_3-1-0_089084_2020-10-07_final
2020-10-08 09:14:50	ga_ls8c_ard_3-1-0_089085_2020-10-07_final
2020-10-24 09:12:27	ga_ls8c_ard_3-1-0_089079_2020-10-23_final
2020-10-24 09:12:51	ga_ls8c_ard_3-1-0_089080_2020-10-23_final
2020-10-24 09:13:15	ga_ls8c_ard_3-1-0_089081_2020-10-23_final
2020-10-24 09:13:39	ga_ls8c_ard_3-1-0_089082_2020-10-23_final
2020-10-24 09:14:03	ga_ls8c_ard_3-1-0_089083_2020-10-23_final
2020-10-24 09:14:27	ga_ls8c_ard_3-1-0_089084_2020-10-23_final
2020-10-24 09:14:51	ga_ls8c_ard_3-1-0_089085_2020-10-23_final
2020-11-23 09:22:00	ga_ls8c_ard_3-1-0_091072_2020-11-22_final
2020-11-23 09:22:24	ga_ls8c_ard_3-1-0_091073_2020-11-22_final
2020-11-23 09:22:48	ga_ls8c_ard_3-1-0_091074_2020-11-22_final
2020-11-23 09:23:12	ga_ls8c_ard_3-1-0_091075_2020-11-22_final
2020-11-23 09:23:36	ga_ls8c_ard_3-1-0_091076_2020-11-22_final
2021-01-01 09:26:09	ga_ls8c_ard_3-2-0_092067_2020-12-31_final
2021-01-01 09:26:33	ga_ls8c_ard_3-2-0_092068_2020-12-31_final
2021-01-01 09:27:45	ga_ls8c_ard_3-2-0_092071_2020-12-31_final
2021-01-03 09:16:58	ga_ls8c_ard_3-2-0_090075_2021-01-02_final
2021-01-03 09:17:22	ga_ls8c_ard_3-2-0_090076_2021-01-02_final
2021-01-03 09:17:46	ga_ls8c_ard_3-2-0_090077_2021-01-02_final
2021-01-03 09:18:10	ga_ls8c_ard_3-2-0_090078_2021-01-02_final
2021-01-03 09:18:34	ga_ls8c_ard_3-2-0_090079_2021-01-02_final
2021-01-03 09:18:58	ga_ls8c_ard_3-2-0_090080_2021-01-02_final
2021-01-03 09:19:22	ga_ls8c_ard_3-2-0_090081_2021-01-02_final
2021-01-10 09:21:54	ga_ls8c_ard_3-2-0_091072_2021-01-09_final
2021-01-10 09:22:18	ga_ls8c_ard_3-2-0_091073_2021-01-09_final
2021-01-10 09:22:42	ga_ls8c_ard_3-2-0_091074_2021-01-09_final
2021-01-10 09:23:06	ga_ls8c_ard_3-2-0_091075_2021-01-09_final
2021-01-10 09:23:30	ga_ls8c_ard_3-2-0_091076_2021-01-09_final
2021-01-12 09:12:43	ga_ls8c_ard_3-2-0_089080_2021-01-11_final
2021-01-12 09:13:07	ga_ls8c_ard_3-2-0_089081_2021-01-11_final
2021-01-12 09:13:31	ga_ls8c_ard_3-2-0_089082_2021-01-11_final
2021-01-12 09:13:55	ga_ls8c_ard_3-2-0_089083_2021-01-11_final
2021-01-12 09:14:19	ga_ls8c_ard_3-2-0_089084_2021-01-11_final
2021-01-12 09:14:43	ga_ls8c_ard_3-2-0_089085_2021-01-11_final
2021-01-19 09:16:50	ga_ls8c_ard_3-2-0_090075_2021-01-18_final
2021-01-19 09:17:14	ga_ls8c_ard_3-2-0_090076_2021-01-18_final
2021-01-19 09:17:38	ga_ls8c_ard_3-2-0_090077_2021-01-18_final
2021-01-19 09:18:02	ga_ls8c_ard_3-2-0_090078_2021-01-18_final
2021-01-19 09:18:26	ga_ls8c_ard_3-2-0_090079_2021-01-18_final
2021-01-19 09:18:50	ga_ls8c_ard_3-2-0_090080_2021-01-18_final
2021-01-19 09:19:14	ga_ls8c_ard_3-2-0_090081_2021-01-18_final
2021-06-26 09:25:45	ga_ls8c_ard_3-2-0_092067_2021-06-25_final
2021-06-26 09:26:09	ga_ls8c_ard_3-2-0_092068_2021-06-25_final
2021-06-26 09:27:21	ga_ls8c_ard_3-2-0_092071_2021-06-25_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
2021-07-28 09:27:29	ga_ls8c_ard_3-2-0_092071_2021-07-27_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
2021-07-30 09:19:08	ga_ls8c_ard_3-2-0_090081_2021-07-29_final
2021-10-27 09:12:33	ga_ls8c_ard_3-2-0_089079_2021-10-26_final
2021-10-27 09:12:57	ga_ls8c_ard_3-2-0_089080_2021-10-26_final
2021-10-27 09:13:21	ga_ls8c_ard_3-2-0_089081_2021-10-26_final
2021-10-27 09:13:45	ga_ls8c_ard_3-2-0_089082_2021-10-26_final
2021-10-27 09:14:09	ga_ls8c_ard_3-2-0_089083_2021-10-26_final
2021-10-27 09:14:33	ga_ls8c_ard_3-2-0_089084_2021-10-26_final
2021-10-27 09:14:57	ga_ls8c_ard_3-2-0_089085_2021-10-26_final
2021-11-01 09:26:18	ga_ls8c_ard_3-2-0_092067_2021-10-31_final
2021-11-01 09:26:42	ga_ls8c_ard_3-2-0_092068_2021-10-31_final
2021-11-01 09:27:53	ga_ls8c_ard_3-2-0_092071_2021-10-31_final
2021-11-03 09:17:07	ga_ls8c_ard_3-2-0_090075_2021-11-02_final
2021-11-03 09:17:31	ga_ls8c_ard_3-2-0_090076_2021-11-02_final
2021-11-03 09:17:55	ga_ls8c_ard_3-2-0_090077_2021-11-02_final
2021-11-03 09:18:19	ga_ls8c_ard_3-2-0_090078_2021-11-02_final
2021-11-03 09:18:43	ga_ls8c_ard_3-2-0_090079_2021-11-02_final
2021-11-03 09:19:07	ga_ls8c_ard_3-2-0_090080_2021-11-02_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