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
2015-10-18 09:16:20	ga_ls8c_ard_3-0-0_090074_2015-10-17_final
2015-10-18 09:16:43	ga_ls8c_ard_3-0-0_090075_2015-10-17_final
2015-10-18 09:17:07	ga_ls8c_ard_3-0-0_090076_2015-10-17_final
2015-10-18 09:17:31	ga_ls8c_ard_3-0-0_090077_2015-10-17_final
2015-10-18 09:17:55	ga_ls8c_ard_3-0-0_090078_2015-10-17_final
2015-11-01 09:25:59	ga_ls8c_ard_3-0-0_092067_2015-10-31_final
2015-11-01 09:26:23	ga_ls8c_ard_3-0-0_092068_2015-10-31_final
2015-12-05 09:16:26	ga_ls8c_ard_3-0-0_090074_2015-12-04_final
2015-12-05 09:16:50	ga_ls8c_ard_3-0-0_090075_2015-12-04_final
2015-12-05 09:17:14	ga_ls8c_ard_3-0-0_090076_2015-12-04_final
2015-12-05 09:17:38	ga_ls8c_ard_3-0-0_090077_2015-12-04_final
2015-12-05 09:18:02	ga_ls8c_ard_3-0-0_090078_2015-12-04_final
2015-12-07 09:06:52	ga_ls8c_ard_3-1-0_088081_2015-12-06_final
2015-12-07 09:07:16	ga_ls8c_ard_3-0-0_088082_2015-12-06_final
2015-12-07 09:07:40	ga_ls8c_ard_3-0-0_088083_2015-12-06_final
2015-12-07 09:08:04	ga_ls8c_ard_3-0-0_088084_2015-12-06_final
2016-01-20 09:25:57	ga_ls8c_ard_3-0-0_092067_2016-01-19_final
2016-01-20 09:26:21	ga_ls8c_ard_3-0-0_092068_2016-01-19_final
2016-02-07 09:16:43	ga_ls8c_ard_3-0-0_090075_2016-02-06_final
2016-02-07 09:17:07	ga_ls8c_ard_3-0-0_090076_2016-02-06_final
2016-02-07 09:17:31	ga_ls8c_ard_3-0-0_090077_2016-02-06_final
2016-02-07 09:17:55	ga_ls8c_ard_3-1-0_090078_2016-02-06_final
2016-02-09 09:06:44	ga_ls8c_ard_3-1-0_088081_2016-02-08_final
2016-02-09 09:07:08	ga_ls8c_ard_3-0-0_088082_2016-02-08_final
2016-02-23 09:16:12	ga_ls8c_ard_3-0-0_090074_2016-02-22_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
2016-02-25 09:06:38	ga_ls8c_ard_3-1-0_088081_2016-02-24_final
2016-02-25 09:07:02	ga_ls8c_ard_3-0-0_088082_2016-02-24_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
2016-04-27 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
2016-04-29 09:06:18	ga_ls8c_ard_3-1-0_088081_2016-04-28_final
2016-04-29 09:06:42	ga_ls8c_ard_3-0-0_088082_2016-04-28_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
2018-11-27 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
2018-12-31 09:06:36	ga_ls8c_ard_3-1-0_088081_2018-12-30_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
2019-11-12 09:26:14	ga_ls8c_ard_3-1-0_092067_2019-11-11_final
2019-11-12 09:26:38	ga_ls8c_ard_3-1-0_092068_2019-11-11_final
2019-11-23 09:11:38	ga_ls8c_ard_3-1-0_089077_2019-11-22_final
2019-11-23 09:12:02	ga_ls8c_ard_3-1-0_089078_2019-11-22_final
2019-11-23 09:12:26	ga_ls8c_ard_3-1-0_089079_2019-11-22_final
2019-11-23 09:12:50	ga_ls8c_ard_3-1-0_089080_2019-11-22_final
2019-11-23 09:13:14	ga_ls8c_ard_3-1-0_089081_2019-11-22_final
2019-11-23 09:13:38	ga_ls8c_ard_3-1-0_089082_2019-11-22_final
2019-12-23 09:20:21	ga_ls8c_ard_3-1-0_091068_2019-12-22_final
2019-12-30 09:26:06	ga_ls8c_ard_3-1-0_092067_2019-12-29_final
2019-12-30 09:26:30	ga_ls8c_ard_3-1-0_092068_2019-12-29_final
2023-07-29 09:10:44	ga_ls8c_ard_3-2-1_089076_2023-07-28_final
2023-07-29 09:11:08	ga_ls8c_ard_3-2-1_089077_2023-07-28_final
2023-07-29 09:11:32	ga_ls8c_ard_3-2-1_089078_2023-07-28_final
2023-07-29 09:11:56	ga_ls8c_ard_3-2-1_089079_2023-07-28_final
2023-07-29 09:12:20	ga_ls8c_ard_3-2-1_089080_2023-07-28_final
2023-07-29 09:12:44	ga_ls8c_ard_3-2-1_089081_2023-07-28_final
2023-07-29 09:13:08	ga_ls8c_ard_3-2-1_089082_2023-07-28_final
2023-08-28 09:21:41	ga_ls8c_ard_3-2-1_091072_2023-08-27_final
2023-08-28 09:22:05	ga_ls8c_ard_3-2-1_091073_2023-08-27_final
2023-08-30 09:10:55	ga_ls8c_ard_3-2-1_089076_2023-08-29_final
2023-08-30 09:11:19	ga_ls8c_ard_3-2-1_089077_2023-08-29_final
2023-08-30 09:11:43	ga_ls8c_ard_3-2-1_089078_2023-08-29_final
2023-08-30 09:12:07	ga_ls8c_ard_3-2-1_089079_2023-08-29_final
2023-08-30 09:12:31	ga_ls8c_ard_3-2-1_089080_2023-08-29_final
2023-08-30 09:12:55	ga_ls8c_ard_3-2-1_089081_2023-08-29_final
2023-08-30 09:13:19	ga_ls8c_ard_3-2-1_089082_2023-08-29_final
2023-10-26 09:06:56	ga_ls8c_ard_3-2-1_088081_2023-10-25_final
2023-10-26 09:07:20	ga_ls8c_ard_3-2-1_088082_2023-10-25_final
2023-10-26 09:07:44	ga_ls8c_ard_3-2-1_088083_2023-10-25_final
2023-10-31 09:21:54	ga_ls8c_ard_3-2-1_091072_2023-10-30_final
2023-10-31 09:22:18	ga_ls8c_ard_3-2-1_091073_2023-10-30_final
2023-12-04 09:11:28	ga_ls8c_ard_3-2-1_089077_2023-12-03_final
2023-12-04 09:11:52	ga_ls8c_ard_3-2-1_089078_2023-12-03_final
2023-12-04 09:12:16	ga_ls8c_ard_3-2-1_089079_2023-12-03_final
2023-12-04 09:12:40	ga_ls8c_ard_3-2-1_089080_2023-12-03_final
2023-12-04 09:13:04	ga_ls8c_ard_3-2-1_089081_2023-12-03_final
2023-12-04 09:13:27	ga_ls8c_ard_3-2-1_089082_2023-12-03_final
2023-12-18 09:21:54	ga_ls8c_ard_3-2-1_091072_2023-12-17_final
2023-12-18 09:22:17	ga_ls8c_ard_3-2-1_091073_2023-12-17_final
2023-12-20 09:11:08	ga_ls8c_ard_3-2-1_089076_2023-12-19_final
2023-12-20 09:11:32	ga_ls8c_ard_3-2-1_089077_2023-12-19_final
2023-12-20 09:11:56	ga_ls8c_ard_3-2-1_089078_2023-12-19_final
2023-12-20 09:12:20	ga_ls8c_ard_3-2-1_089079_2023-12-19_final
2023-12-20 09:13:08	ga_ls8c_ard_3-2-1_089081_2023-12-19_final
2024-01-12 09:16:25	ga_ls8c_ard_3-2-1_090074_2024-01-11_final
2024-01-12 09:16:49	ga_ls8c_ard_3-2-1_090075_2024-01-11_final
2024-01-12 09:17:13	ga_ls8c_ard_3-2-1_090076_2024-01-11_final
2024-01-12 09:17:37	ga_ls8c_ard_3-2-1_090077_2024-01-11_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