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 09:25:57	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
2016-01-13 09:21:46	ga_ls8c_ard_3-0-0_091072_2016-01-12_final
2016-01-13 09:22:10	ga_ls8c_ard_3-0-0_091073_2016-01-12_final
2016-01-13 09:22:33	ga_ls8c_ard_3-0-0_091074_2016-01-12_final
2016-01-13 09:22:57	ga_ls8c_ard_3-0-0_091075_2016-01-12_final
2016-01-22 09:16:23	ga_ls8c_ard_3-0-0_090074_2016-01-21_final
2016-01-22 09:16:47	ga_ls8c_ard_3-0-0_090075_2016-01-21_final
2016-02-25 09:07:26	ga_ls8c_ard_3-0-0_088083_2016-02-24_final
2016-02-25 09:07:50	ga_ls8c_ard_3-0-0_088084_2016-02-24_final
2016-03-01 09:21:35	ga_ls8c_ard_3-0-0_091072_2016-02-29_final
2016-03-01 09:21:58	ga_ls8c_ard_3-0-0_091073_2016-02-29_final
2016-03-01 09:22:22	ga_ls8c_ard_3-0-0_091074_2016-02-29_final
2016-03-01 09:22:46	ga_ls8c_ard_3-0-0_091075_2016-02-29_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
2016-04-27 09:15:50	ga_ls8c_ard_3-0-0_090074_2016-04-26_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
2016-04-29 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
2019-02-08 09:11:52	ga_ls8c_ard_3-0-0_089079_2019-02-07_final
2019-02-08 09:12:16	ga_ls8c_ard_3-0-0_089080_2019-02-07_final
2019-02-08 09:12:40	ga_ls8c_ard_3-0-0_089081_2019-02-07_final
2019-02-08 09:13:04	ga_ls8c_ard_3-0-0_089082_2019-02-07_final
2019-02-08 09:13:28	ga_ls8c_ard_3-0-0_089083_2019-02-07_final
2019-02-08 09:13:52	ga_ls8c_ard_3-0-0_089084_2019-02-07_final
2019-03-19 09:15:53	ga_ls8c_ard_3-1-0_090074_2019-03-18_final
2019-03-19 09:16:17	ga_ls8c_ard_3-1-0_090075_2019-03-18_final
2019-03-19 09:16:41	ga_ls8c_ard_3-1-0_090076_2019-03-18_final
2019-03-19 09:17:05	ga_ls8c_ard_3-1-0_090077_2019-03-18_final
2019-03-19 09:17:29	ga_ls8c_ard_3-1-0_090078_2019-03-18_final
2019-03-19 09:17:53	ga_ls8c_ard_3-1-0_090079_2019-03-18_final
2019-03-19 09:18:17	ga_ls8c_ard_3-1-0_090080_2019-03-18_final
2019-04-04 09:15:50	ga_ls8c_ard_3-1-0_090074_2019-04-03_final
2019-04-04 09:16:14	ga_ls8c_ard_3-1-0_090075_2019-04-03_final
2019-04-04 09:16:38	ga_ls8c_ard_3-1-0_090076_2019-04-03_final
2019-04-04 09:17:02	ga_ls8c_ard_3-1-0_090077_2019-04-03_final
2019-04-04 09:17:25	ga_ls8c_ard_3-1-0_090078_2019-04-03_final
2019-04-04 09:17:49	ga_ls8c_ard_3-1-0_090079_2019-04-03_final
2019-04-04 09:18:13	ga_ls8c_ard_3-1-0_090080_2019-04-03_final
2019-04-06 09:07:03	ga_ls8c_ard_3-1-0_088083_2019-04-05_final
2019-04-06 09:07:27	ga_ls8c_ard_3-1-0_088084_2019-04-05_final
2021-03-06 09:25:49	ga_ls8c_ard_3-2-0_092067_2021-03-05_final
2021-03-06 09:26:13	ga_ls8c_ard_3-2-0_092068_2021-03-05_final
2021-03-06 09:27:24	ga_ls8c_ard_3-2-0_092071_2021-03-05_final
2021-03-08 09:16:13	ga_ls8c_ard_3-2-0_090074_2021-03-07_final
2021-03-08 09:16:37	ga_ls8c_ard_3-2-0_090075_2021-03-07_final
2021-03-08 09:17:01	ga_ls8c_ard_3-2-0_090076_2021-03-07_final
2021-03-08 09:17:25	ga_ls8c_ard_3-2-0_090077_2021-03-07_final
2021-03-08 09:17:49	ga_ls8c_ard_3-2-0_090078_2021-03-07_final
2021-03-08 09:18:13	ga_ls8c_ard_3-2-0_090079_2021-03-07_final
2021-03-08 09:18:37	ga_ls8c_ard_3-2-0_090080_2021-03-07_final
2021-03-10 09:07:26	ga_ls8c_ard_3-2-0_088083_2021-03-09_final
2021-03-10 09:07:50	ga_ls8c_ard_3-2-0_088084_2021-03-09_final
2021-04-07 09:25:37	ga_ls8c_ard_3-2-0_092067_2021-04-06_final
2021-04-07 09:26:01	ga_ls8c_ard_3-2-0_092068_2021-04-06_final
2021-04-07 09:27:12	ga_ls8c_ard_3-2-0_092071_2021-04-06_final
2021-04-09 09:16:02	ga_ls8c_ard_3-2-0_090074_2021-04-08_final
2021-04-09 09:16:26	ga_ls8c_ard_3-2-0_090075_2021-04-08_final
2021-04-09 09:16:50	ga_ls8c_ard_3-2-0_090076_2021-04-08_final
2021-04-09 09:17:14	ga_ls8c_ard_3-2-0_090077_2021-04-08_final
2021-04-09 09:17:38	ga_ls8c_ard_3-2-0_090078_2021-04-08_final
2021-04-09 09:18:02	ga_ls8c_ard_3-2-0_090079_2021-04-08_final
2021-04-09 09:18:26	ga_ls8c_ard_3-2-0_090080_2021-04-08_final
2021-04-11 09:07:15	ga_ls8c_ard_3-2-0_088083_2021-04-10_final
2021-04-11 09:07:39	ga_ls8c_ard_3-2-0_088084_2021-04-10_final
2021-04-18 09:11:47	ga_ls8c_ard_3-2-0_089079_2021-04-17_final
2021-04-18 09:12:11	ga_ls8c_ard_3-2-0_089080_2021-04-17_final
2021-04-18 09:12:35	ga_ls8c_ard_3-2-0_089081_2021-04-17_final
2021-04-18 09:12:59	ga_ls8c_ard_3-2-0_089082_2021-04-17_final
2021-04-18 09:13:23	ga_ls8c_ard_3-2-0_089083_2021-04-17_final
2021-04-18 09:13:47	ga_ls8c_ard_3-2-0_089084_2021-04-17_final
2021-04-23 09:25:30	ga_ls8c_ard_3-2-0_092067_2021-04-22_final
2021-04-23 09:25:54	ga_ls8c_ard_3-2-0_092068_2021-04-22_final
2021-11-17 09:26:12	ga_ls8c_ard_3-2-0_092067_2021-11-16_final
2021-11-17 09:26:36	ga_ls8c_ard_3-2-0_092068_2021-11-16_final
2021-11-17 09:27:48	ga_ls8c_ard_3-2-0_092071_2021-11-16_final
2021-11-19 09:16:38	ga_ls8c_ard_3-2-0_090074_2021-11-18_final
2021-11-19 09:17:02	ga_ls8c_ard_3-2-0_090075_2021-11-18_final
2021-11-19 09:17:26	ga_ls8c_ard_3-2-0_090076_2021-11-18_final
2021-11-19 09:17:50	ga_ls8c_ard_3-2-0_090077_2021-11-18_final
2021-11-19 09:18:14	ga_ls8c_ard_3-2-0_090078_2021-11-18_final
2021-11-19 09:18:38	ga_ls8c_ard_3-2-0_090079_2021-11-18_final
2021-11-19 09:19:01	ga_ls8c_ard_3-2-0_090080_2021-11-18_final
2021-11-21 09:07:52	ga_ls8c_ard_3-2-0_088083_2021-11-20_final
2021-11-21 09:08:16	ga_ls8c_ard_3-2-0_088084_2021-11-20_final
2022-12-22 09:27:51	ga_ls8c_ard_3-2-1_092071_2022-12-21_final
2022-12-24 09:16:41	ga_ls8c_ard_3-2-1_090074_2022-12-23_final
2022-12-24 09:17:05	ga_ls8c_ard_3-2-1_090075_2022-12-23_final
2022-12-24 09:17:29	ga_ls8c_ard_3-2-1_090076_2022-12-23_final
2022-12-24 09:17:53	ga_ls8c_ard_3-2-1_090077_2022-12-23_final
2022-12-24 09:18:17	ga_ls8c_ard_3-2-1_090078_2022-12-23_final
2022-12-24 09:18:41	ga_ls8c_ard_3-2-1_090079_2022-12-23_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