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
2016-01-15 09:10:36	ga_ls8c_ard_3-0-0_089075_2016-01-14_final
2016-01-15 09:11:00	ga_ls8c_ard_3-0-0_089076_2016-01-14_final
2016-01-15 09:11:24	ga_ls8c_ard_3-0-0_089077_2016-01-14_final
2016-01-15 09:11:48	ga_ls8c_ard_3-0-0_089078_2016-01-14_final
2016-01-15 09:12:12	ga_ls8c_ard_3-0-0_089079_2016-01-14_final
2016-01-15 09:12:36	ga_ls8c_ard_3-0-0_089080_2016-01-14_final
2016-01-15 09:13:00	ga_ls8c_ard_3-0-0_089081_2016-01-14_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
2016-02-09 09:06:20	ga_ls8c_ard_3-0-0_088080_2016-02-08_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
2016-03-03 09:10:25	ga_ls8c_ard_3-0-0_089075_2016-03-02_final
2016-03-03 09:10:48	ga_ls8c_ard_3-0-0_089076_2016-03-02_final
2016-03-03 09:11:12	ga_ls8c_ard_3-0-0_089077_2016-03-02_final
2016-03-03 09:11:36	ga_ls8c_ard_3-0-0_089078_2016-03-02_final
2016-03-03 09:12:00	ga_ls8c_ard_3-0-0_089079_2016-03-02_final
2016-03-03 09:12:24	ga_ls8c_ard_3-0-0_089080_2016-03-02_final
2016-03-03 09:12:48	ga_ls8c_ard_3-0-0_089081_2016-03-02_final
2016-03-12 09:06:11	ga_ls8c_ard_3-0-0_088080_2016-03-11_final
2016-03-12 09:06:35	ga_ls8c_ard_3-1-0_088081_2016-03-11_final
2016-03-12 09:06:59	ga_ls8c_ard_3-0-0_088082_2016-03-11_final
2016-04-09 09:25:29	ga_ls8c_ard_3-0-0_092067_2016-04-08_final
2016-04-25 09:25:22	ga_ls8c_ard_3-0-0_092067_2016-04-24_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
2018-12-31 09:06:12	ga_ls8c_ard_3-0-0_088080_2018-12-30_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
2019-11-23 09:10:50	ga_ls8c_ard_3-1-0_089075_2019-11-22_final
2019-11-23 09:11:14	ga_ls8c_ard_3-1-0_089076_2019-11-22_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
2019-12-14 09:26:10	ga_ls8c_ard_3-2-0_092067_2019-12-13_final
2019-12-16 09:16:36	ga_ls8c_ard_3-2-0_090074_2019-12-15_final
2019-12-16 09:17:00	ga_ls8c_ard_3-2-0_090075_2019-12-15_final
2019-12-16 09:17:23	ga_ls8c_ard_3-2-0_090076_2019-12-15_final
2019-12-18 09:06:37	ga_ls8c_ard_3-2-0_088080_2019-12-17_final
2019-12-18 09:07:01	ga_ls8c_ard_3-2-0_088081_2019-12-17_final
2019-12-18 09:07:25	ga_ls8c_ard_3-2-0_088082_2019-12-17_final
2019-12-18 09:07:49	ga_ls8c_ard_3-2-0_088083_2019-12-17_final
2019-12-18 09:08:13	ga_ls8c_ard_3-2-0_088084_2019-12-17_final
2023-07-22 09:06:03	ga_ls8c_ard_3-2-1_088080_2023-07-21_final
2023-07-29 09:10:20	ga_ls8c_ard_3-2-1_089075_2023-07-28_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
2023-08-05 09:16:33	ga_ls8c_ard_3-2-1_090075_2023-08-04_final
2023-08-05 09:16:57	ga_ls8c_ard_3-2-1_090076_2023-08-04_final
2023-08-12 09:21:33	ga_ls8c_ard_3-2-1_091072_2023-08-11_final
2023-08-14 09:10:25	ga_ls8c_ard_3-2-1_089075_2023-08-13_final
2023-08-14 09:10:49	ga_ls8c_ard_3-2-1_089076_2023-08-13_final
2023-08-14 09:11:13	ga_ls8c_ard_3-2-1_089077_2023-08-13_final
2023-08-14 09:11:37	ga_ls8c_ard_3-2-1_089078_2023-08-13_final
2023-08-14 09:12:01	ga_ls8c_ard_3-2-1_089079_2023-08-13_final
2023-08-14 09:12:25	ga_ls8c_ard_3-2-1_089080_2023-08-13_final
2023-08-14 09:12:49	ga_ls8c_ard_3-2-1_089081_2023-08-13_final
2023-08-21 09:16:17	ga_ls8c_ard_3-2-1_090074_2023-08-20_final
2023-08-21 09:16:41	ga_ls8c_ard_3-2-1_090075_2023-08-20_final
2023-08-21 09:17:04	ga_ls8c_ard_3-2-1_090076_2023-08-20_final
2023-08-23 09:06:19	ga_ls8c_ard_3-2-1_088080_2023-08-22_final
2023-08-23 09:06:43	ga_ls8c_ard_3-2-1_088081_2023-08-22_final
2023-08-23 09:07:07	ga_ls8c_ard_3-2-1_088082_2023-08-22_final
2023-08-23 09:07:31	ga_ls8c_ard_3-2-1_088083_2023-08-22_final
2023-08-30 09:10:31	ga_ls8c_ard_3-2-1_089075_2023-08-29_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
2023-10-17 09:10:40	ga_ls8c_ard_3-2-1_089075_2023-10-16_final
2023-10-17 09:11:04	ga_ls8c_ard_3-2-1_089076_2023-10-16_final
2023-10-17 09:11:28	ga_ls8c_ard_3-2-1_089077_2023-10-16_final
2023-10-17 09:11:52	ga_ls8c_ard_3-2-1_089078_2023-10-16_final
2023-10-17 09:12:16	ga_ls8c_ard_3-2-1_089079_2023-10-16_final
2023-10-17 09:12:40	ga_ls8c_ard_3-2-1_089080_2023-10-16_final
2023-10-17 09:13:04	ga_ls8c_ard_3-2-1_089081_2023-10-16_final
2023-12-11 09:16:26	ga_ls8c_ard_3-2-1_090074_2023-12-10_final
2023-12-11 09:16:50	ga_ls8c_ard_3-2-1_090075_2023-12-10_final
2023-12-11 09:17:14	ga_ls8c_ard_3-2-1_090076_2023-12-10_final
2023-12-13 09:06:30	ga_ls8c_ard_3-2-1_088080_2023-12-12_final
2023-12-13 09:06:54	ga_ls8c_ard_3-2-1_088081_2023-12-12_final
2023-12-13 09:07:18	ga_ls8c_ard_3-2-1_088082_2023-12-12_final
2023-12-13 09:07:42	ga_ls8c_ard_3-2-1_088083_2023-12-12_final
2023-12-20 09:10:44	ga_ls8c_ard_3-2-1_089075_2023-12-19_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 09:12:44	ga_ls8c_ard_3-2-1_089080_2023-12-19_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