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
2016-01-04 09:27:33	ga_ls8c_ard_3-0-0_092071_2016-01-03_final
2016-01-06 09:16:46	ga_ls8c_ard_3-0-0_090075_2016-01-05_final
2016-01-06 09:17:10	ga_ls8c_ard_3-0-0_090076_2016-01-05_final
2016-01-06 09:17:34	ga_ls8c_ard_3-0-0_090077_2016-01-05_final
2016-01-06 09:17:58	ga_ls8c_ard_3-0-0_090078_2016-01-05_final
2016-01-06 09:18:22	ga_ls8c_ard_3-0-0_090079_2016-01-05_final
2016-01-06 09:18:46	ga_ls8c_ard_3-0-0_090080_2016-01-05_final
2016-01-06 09:19:10	ga_ls8c_ard_3-0-0_090081_2016-01-05_final
2016-02-21 09:27:21	ga_ls8c_ard_3-0-0_092071_2016-02-20_final
2016-02-21 09:27:45	ga_ls8c_ard_3-0-0_092072_2016-02-20_final
2016-02-23 09:16:36	ga_ls8c_ard_3-0-0_090075_2016-02-22_final
2016-02-23 09:16:59	ga_ls8c_ard_3-0-0_090076_2016-02-22_final
2016-02-23 09:17:23	ga_ls8c_ard_3-0-0_090077_2016-02-22_final
2016-02-23 09:17:47	ga_ls8c_ard_3-0-0_090078_2016-02-22_final
2016-02-23 09:18:11	ga_ls8c_ard_3-0-0_090079_2016-02-22_final
2016-02-23 09:18:35	ga_ls8c_ard_3-0-0_090080_2016-02-22_final
2016-02-23 09:18:59	ga_ls8c_ard_3-0-0_090081_2016-02-22_final
2016-04-09 09:27:05	ga_ls8c_ard_3-0-0_092071_2016-04-08_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
2016-04-11 09:18:42	ga_ls8c_ard_3-0-0_090081_2016-04-10_final
2016-04-13 09:07:08	ga_ls8c_ard_3-0-0_088083_2016-04-12_final
2016-04-13 09:07:32	ga_ls8c_ard_3-0-0_088084_2016-04-12_final
2016-04-18 09:21:15	ga_ls8c_ard_3-0-0_091072_2016-04-17_final
2016-04-18 09:21:39	ga_ls8c_ard_3-0-0_091073_2016-04-17_final
2016-04-18 09:22:03	ga_ls8c_ard_3-0-0_091074_2016-04-17_final
2016-04-18 09:22:27	ga_ls8c_ard_3-0-0_091075_2016-04-17_final
2016-04-18 09:22:51	ga_ls8c_ard_3-0-0_091076_2016-04-17_final
2016-04-25 09:26:58	ga_ls8c_ard_3-0-0_092071_2016-04-24_final
2016-04-27 09:16:14	ga_ls8c_ard_3-0-0_090075_2016-04-26_final
2016-04-27 09:16:38	ga_ls8c_ard_3-0-0_090076_2016-04-26_final
2016-04-27 09:17:02	ga_ls8c_ard_3-0-0_090077_2016-04-26_final
2016-04-27 09:17:26	ga_ls8c_ard_3-0-0_090078_2016-04-26_final
2016-04-27 09:17:50	ga_ls8c_ard_3-0-0_090079_2016-04-26_final
2016-04-27 09:18:14	ga_ls8c_ard_3-0-0_090080_2016-04-26_final
2016-04-27 09:18:38	ga_ls8c_ard_3-0-0_090081_2016-04-26_final
2016-04-29 09:07:06	ga_ls8c_ard_3-0-0_088083_2016-04-28_final
2016-04-29 09:07:30	ga_ls8c_ard_3-0-0_088084_2016-04-28_final
2018-11-25 09:27:24	ga_ls8c_ard_3-0-0_092071_2018-11-24_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
2018-11-27 09:19:01	ga_ls8c_ard_3-0-0_090081_2018-11-26_final
2018-12-15 09:07:24	ga_ls8c_ard_3-0-0_088083_2018-12-14_final
2018-12-15 09:07:48	ga_ls8c_ard_3-0-0_088084_2018-12-14_final
2018-12-27 09:27:20	ga_ls8c_ard_3-0-0_092071_2018-12-26_final
2018-12-27 09:27:44	ga_ls8c_ard_3-0-0_092072_2018-12-26_final
2018-12-29 09:16:34	ga_ls8c_ard_3-0-0_090075_2018-12-28_final
2018-12-29 09:16:58	ga_ls8c_ard_3-0-0_090076_2018-12-28_final
2018-12-29 09:17:22	ga_ls8c_ard_3-0-0_090077_2018-12-28_final
2018-12-29 09:17:46	ga_ls8c_ard_3-0-0_090078_2018-12-28_final
2018-12-29 09:18:10	ga_ls8c_ard_3-0-0_090079_2018-12-28_final
2018-12-29 09:18:34	ga_ls8c_ard_3-0-0_090080_2018-12-28_final
2018-12-29 09:18:58	ga_ls8c_ard_3-0-0_090081_2018-12-28_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
2019-01-12 09:27:19	ga_ls8c_ard_3-0-0_092071_2019-01-11_final
2019-01-12 09:27:43	ga_ls8c_ard_3-0-0_092072_2019-01-11_final
2019-01-14 09:16:32	ga_ls8c_ard_3-0-0_090075_2019-01-13_final
2019-01-14 09:16:56	ga_ls8c_ard_3-0-0_090076_2019-01-13_final
2019-01-14 09:17:20	ga_ls8c_ard_3-0-0_090077_2019-01-13_final
2019-01-14 09:17:44	ga_ls8c_ard_3-0-0_090078_2019-01-13_final
2019-01-14 09:18:08	ga_ls8c_ard_3-0-0_090079_2019-01-13_final
2019-01-14 09:18:32	ga_ls8c_ard_3-0-0_090080_2019-01-13_final
2019-01-14 09:18:56	ga_ls8c_ard_3-0-0_090081_2019-01-13_final
2020-03-05 09:16:38	ga_ls8c_ard_3-1-0_090075_2020-03-04_final
2020-03-05 09:17:02	ga_ls8c_ard_3-1-0_090076_2020-03-04_final
2020-03-05 09:17:26	ga_ls8c_ard_3-1-0_090077_2020-03-04_final
2020-03-05 09:17:50	ga_ls8c_ard_3-1-0_090078_2020-03-04_final
2020-03-05 09:18:14	ga_ls8c_ard_3-1-0_090079_2020-03-04_final
2020-03-05 09:18:38	ga_ls8c_ard_3-1-0_090080_2020-03-04_final
2020-03-07 09:07:27	ga_ls8c_ard_3-1-0_088083_2020-03-06_final
2020-03-07 09:07:51	ga_ls8c_ard_3-1-0_088084_2020-03-06_final
2020-06-23 09:25:35	ga_ls8c_ard_3-1-0_092067_2020-06-22_final
2020-06-23 09:25:59	ga_ls8c_ard_3-1-0_092068_2020-06-22_final
2020-06-23 09:27:11	ga_ls8c_ard_3-1-0_092071_2020-06-22_final
2020-07-09 09:25:42	ga_ls8c_ard_3-1-0_092067_2020-07-08_final
2020-07-09 09:26:06	ga_ls8c_ard_3-1-0_092068_2020-07-08_final
2020-07-09 09:27:18	ga_ls8c_ard_3-1-0_092071_2020-07-08_final
2020-07-18 09:21:34	ga_ls8c_ard_3-1-0_091072_2020-07-17_final
2020-07-18 09:21:58	ga_ls8c_ard_3-1-0_091073_2020-07-17_final
2020-07-18 09:22:22	ga_ls8c_ard_3-1-0_091074_2020-07-17_final
2020-07-18 09:22:46	ga_ls8c_ard_3-1-0_091075_2020-07-17_final
2020-07-18 09:23:10	ga_ls8c_ard_3-1-0_091076_2020-07-17_final
2020-09-11 09:27:41	ga_ls8c_ard_3-1-0_092071_2020-09-10_final
2020-09-29 09:17:00	ga_ls8c_ard_3-1-0_090075_2020-09-28_final
2020-09-29 09:17:24	ga_ls8c_ard_3-1-0_090076_2020-09-28_final
2020-09-29 09:17:48	ga_ls8c_ard_3-1-0_090077_2020-09-28_final
2020-09-29 09:18:12	ga_ls8c_ard_3-1-0_090078_2020-09-28_final
2020-09-29 09:18:36	ga_ls8c_ard_3-1-0_090079_2020-09-28_final
2020-09-29 09:19:00	ga_ls8c_ard_3-1-0_090080_2020-09-28_final
2020-09-29 09:19:24	ga_ls8c_ard_3-1-0_090081_2020-09-28_final
2020-10-01 09:07:51	ga_ls8c_ard_3-1-0_088083_2020-09-30_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