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
2016-11-12 09:22:01	ga_ls8c_ard_3-0-0_091072_2016-11-11_final
2016-11-12 09:22:24	ga_ls8c_ard_3-0-0_091073_2016-11-11_final
2016-11-12 09:22:48	ga_ls8c_ard_3-0-0_091074_2016-11-11_final
2016-11-12 09:23:12	ga_ls8c_ard_3-0-0_091075_2016-11-11_final
2016-11-14 09:12:27	ga_ls8c_ard_3-0-0_089079_2016-11-13_final
2016-11-14 09:12:51	ga_ls8c_ard_3-0-0_089080_2016-11-13_final
2016-11-14 09:13:15	ga_ls8c_ard_3-0-0_089081_2016-11-13_final
2016-11-14 09:13:39	ga_ls8c_ard_3-0-0_089082_2016-11-13_final
2016-11-14 09:14:03	ga_ls8c_ard_3-0-0_089083_2016-11-13_final
2016-11-14 09:14:27	ga_ls8c_ard_3-0-0_089084_2016-11-13_final
2016-11-21 09:16:38	ga_ls8c_ard_3-0-0_090074_2016-11-20_final
2016-11-21 09:17:02	ga_ls8c_ard_3-0-0_090075_2016-11-20_final
2016-11-21 09:17:26	ga_ls8c_ard_3-0-0_090076_2016-11-20_final
2016-11-21 09:17:50	ga_ls8c_ard_3-0-0_090077_2016-11-20_final
2016-11-21 09:18:14	ga_ls8c_ard_3-0-0_090078_2016-11-20_final
2016-11-21 09:18:38	ga_ls8c_ard_3-0-0_090079_2016-11-20_final
2016-11-21 09:19:02	ga_ls8c_ard_3-0-0_090080_2016-11-20_final
2016-12-16 09:12:23	ga_ls8c_ard_3-0-0_089079_2016-12-15_final
2016-12-16 09:12:47	ga_ls8c_ard_3-0-0_089080_2016-12-15_final
2016-12-16 09:13:11	ga_ls8c_ard_3-0-0_089081_2016-12-15_final
2016-12-16 09:13:35	ga_ls8c_ard_3-0-0_089082_2016-12-15_final
2016-12-16 09:13:59	ga_ls8c_ard_3-0-0_089083_2016-12-15_final
2016-12-16 09:14:23	ga_ls8c_ard_3-0-0_089084_2016-12-15_final
2016-12-23 09:16:32	ga_ls8c_ard_3-0-0_090074_2016-12-22_final
2016-12-23 09:16:56	ga_ls8c_ard_3-0-0_090075_2016-12-22_final
2016-12-23 09:17:20	ga_ls8c_ard_3-0-0_090076_2016-12-22_final
2016-12-23 09:17:44	ga_ls8c_ard_3-0-0_090077_2016-12-22_final
2016-12-23 09:18:08	ga_ls8c_ard_3-0-0_090078_2016-12-22_final
2016-12-23 09:18:32	ga_ls8c_ard_3-0-0_090079_2016-12-22_final
2016-12-23 09:18:56	ga_ls8c_ard_3-0-0_090080_2016-12-22_final
2016-12-30 09:21:55	ga_ls8c_ard_3-0-0_091072_2016-12-29_final
2016-12-30 09:22:19	ga_ls8c_ard_3-0-0_091073_2016-12-29_final
2016-12-30 09:22:43	ga_ls8c_ard_3-0-0_091074_2016-12-29_final
2016-12-30 09:23:07	ga_ls8c_ard_3-0-0_091075_2016-12-29_final
2017-02-02 09:12:09	ga_ls8c_ard_3-0-0_089079_2017-02-01_final
2017-02-02 09:12:33	ga_ls8c_ard_3-0-0_089080_2017-02-01_final
2017-02-02 09:12:57	ga_ls8c_ard_3-0-0_089081_2017-02-01_final
2017-02-02 09:13:21	ga_ls8c_ard_3-0-0_089082_2017-02-01_final
2017-02-02 09:13:45	ga_ls8c_ard_3-0-0_089083_2017-02-01_final
2017-02-25 09:16:11	ga_ls8c_ard_3-0-0_090074_2017-02-24_final
2017-02-25 09:16:35	ga_ls8c_ard_3-0-0_090075_2017-02-24_final
2017-02-25 09:16:59	ga_ls8c_ard_3-0-0_090076_2017-02-24_final
2017-02-25 09:17:23	ga_ls8c_ard_3-0-0_090077_2017-02-24_final
2017-02-25 09:17:47	ga_ls8c_ard_3-0-0_090078_2017-02-24_final
2017-02-25 09:18:11	ga_ls8c_ard_3-0-0_090079_2017-02-24_final
2017-02-25 09:18:35	ga_ls8c_ard_3-0-0_090080_2017-02-24_final
2018-03-25 09:11:37	ga_ls8c_ard_3-0-0_089079_2018-03-24_final
2018-03-25 09:12:01	ga_ls8c_ard_3-0-0_089080_2018-03-24_final
2018-03-25 09:12:25	ga_ls8c_ard_3-0-0_089081_2018-03-24_final
2018-03-25 09:12:49	ga_ls8c_ard_3-0-0_089082_2018-03-24_final
2018-03-25 09:13:13	ga_ls8c_ard_3-0-0_089083_2018-03-24_final
2018-03-25 09:13:37	ga_ls8c_ard_3-0-0_089084_2018-03-24_final
2018-04-17 09:15:36	ga_ls8c_ard_3-0-0_090074_2018-04-16_final
2018-04-17 09:16:00	ga_ls8c_ard_3-0-0_090075_2018-04-16_final
2018-04-17 09:16:24	ga_ls8c_ard_3-0-0_090076_2018-04-16_final
2018-04-17 09:16:47	ga_ls8c_ard_3-0-0_090077_2018-04-16_final
2018-04-17 09:17:11	ga_ls8c_ard_3-0-0_090078_2018-04-16_final
2018-04-17 09:17:35	ga_ls8c_ard_3-0-0_090079_2018-04-16_final
2018-04-17 09:17:59	ga_ls8c_ard_3-0-0_090080_2018-04-16_final
2018-05-12 09:11:10	ga_ls8c_ard_3-0-0_089079_2018-05-11_final
2018-05-12 09:11:34	ga_ls8c_ard_3-0-0_089080_2018-05-11_final
2018-05-12 09:11:58	ga_ls8c_ard_3-0-0_089081_2018-05-11_final
2018-05-12 09:12:22	ga_ls8c_ard_3-0-0_089082_2018-05-11_final
2018-05-12 09:12:46	ga_ls8c_ard_3-0-0_089083_2018-05-11_final
2018-05-12 09:13:10	ga_ls8c_ard_3-0-0_089084_2018-05-11_final
2018-05-19 09:15:16	ga_ls8c_ard_3-0-0_090074_2018-05-18_final
2018-05-19 09:15:40	ga_ls8c_ard_3-0-0_090075_2018-05-18_final
2018-05-19 09:16:04	ga_ls8c_ard_3-0-0_090076_2018-05-18_final
2018-05-19 09:16:28	ga_ls8c_ard_3-0-0_090077_2018-05-18_final
2018-05-19 09:16:52	ga_ls8c_ard_3-0-0_090078_2018-05-18_final
2018-05-19 09:17:16	ga_ls8c_ard_3-0-0_090079_2018-05-18_final
2018-05-19 09:17:40	ga_ls8c_ard_3-0-0_090080_2018-05-18_final
2018-06-04 09:15:05	ga_ls8c_ard_3-0-0_090074_2018-06-03_final
2018-06-04 09:15:29	ga_ls8c_ard_3-0-0_090075_2018-06-03_final
2018-06-04 09:15:53	ga_ls8c_ard_3-0-0_090076_2018-06-03_final
2018-06-04 09:16:17	ga_ls8c_ard_3-0-0_090077_2018-06-03_final
2018-06-04 09:16:41	ga_ls8c_ard_3-0-0_090078_2018-06-03_final
2018-06-04 09:17:04	ga_ls8c_ard_3-0-0_090079_2018-06-03_final
2018-06-04 09:17:28	ga_ls8c_ard_3-0-0_090080_2018-06-03_final
2018-06-22 09:06:06	ga_ls8c_ard_3-0-0_088082_2018-06-21_final
2018-06-22 09:06:30	ga_ls8c_ard_3-0-0_088083_2018-06-21_final
2018-06-22 09:06:54	ga_ls8c_ard_3-1-0_088084_2018-06-21_final
2018-07-15 09:11:17	ga_ls8c_ard_3-0-0_089079_2018-07-14_final
2018-07-15 09:11:41	ga_ls8c_ard_3-0-0_089080_2018-07-14_final
2018-07-15 09:12:05	ga_ls8c_ard_3-0-0_089081_2018-07-14_final
2018-07-15 09:12:29	ga_ls8c_ard_3-0-0_089082_2018-07-14_final
2018-07-15 09:12:53	ga_ls8c_ard_3-0-0_089083_2018-07-14_final
2018-07-15 09:13:17	ga_ls8c_ard_3-0-0_089084_2018-07-14_final
2020-01-01 09:16:31	ga_ls8c_ard_3-1-0_090074_2019-12-31_final
2020-01-01 09:16:55	ga_ls8c_ard_3-1-0_090075_2019-12-31_final
2020-01-01 09:17:19	ga_ls8c_ard_3-1-0_090076_2019-12-31_final
2020-01-01 09:17:43	ga_ls8c_ard_3-1-0_090077_2019-12-31_final
2020-01-01 09:18:07	ga_ls8c_ard_3-1-0_090078_2019-12-31_final
2020-01-01 09:18:31	ga_ls8c_ard_3-1-0_090079_2019-12-31_final
2020-01-01 09:18:55	ga_ls8c_ard_3-1-0_090080_2019-12-31_final
2020-01-08 09:21:53	ga_ls8c_ard_3-1-0_091072_2020-01-07_final
2020-01-08 09:22:17	ga_ls8c_ard_3-1-0_091073_2020-01-07_final
2020-01-08 09:22:41	ga_ls8c_ard_3-1-0_091074_2020-01-07_final
2020-01-08 09:23:05	ga_ls8c_ard_3-1-0_091075_2020-01-07_final
2020-03-03 09:25:49	ga_ls8c_ard_3-1-0_092067_2020-03-02_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years