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
2015-01-01 09:25:53	ga_ls8c_ard_3-0-0_092067_2014-12-31_final
2015-01-17 09:25:53	ga_ls8c_ard_3-0-0_092067_2015-01-16_final
2015-01-21 09:06:18	ga_ls8c_ard_3-0-0_088080_2015-01-20_final
2015-01-21 09:06:42	ga_ls8c_ard_3-1-0_088081_2015-01-20_final
2015-01-21 09:07:06	ga_ls8c_ard_3-0-0_088082_2015-01-20_final
2015-02-02 09:25:49	ga_ls8c_ard_3-0-0_092067_2015-02-01_final
2015-02-27 09:19:52	ga_ls8c_ard_3-0-0_091068_2015-02-26_final
2015-03-15 09:19:41	ga_ls8c_ard_3-0-0_091068_2015-03-14_final
2015-04-11 09:05:19	ga_ls8c_ard_3-0-0_088079_2015-04-10_final
2015-04-11 09:05:42	ga_ls8c_ard_3-0-0_088080_2015-04-10_final
2015-04-11 09:06:06	ga_ls8c_ard_3-1-0_088081_2015-04-10_final
2015-04-11 09:06:30	ga_ls8c_ard_3-0-0_088082_2015-04-10_final
2015-04-11 09:06:54	ga_ls8c_ard_3-0-0_088083_2015-04-10_final
2015-04-11 09:07:18	ga_ls8c_ard_3-0-0_088084_2015-04-10_final
2016-01-13 09:20:10	ga_ls8c_ard_3-0-0_091068_2016-01-12_final
2016-01-13 09:21:46	ga_ls8c_ard_3-0-0_091072_2016-01-12_final
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
2016-01-22 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
2016-01-22 09:17:11	ga_ls8c_ard_3-0-0_090076_2016-01-21_final
2016-01-24 09:06:01	ga_ls8c_ard_3-0-0_088079_2016-01-23_final
2016-01-24 09:06:25	ga_ls8c_ard_3-0-0_088080_2016-01-23_final
2016-01-24 09:06:49	ga_ls8c_ard_3-1-0_088081_2016-01-23_final
2016-01-24 09:07:13	ga_ls8c_ard_3-0-0_088082_2016-01-23_final
2016-01-24 09:07:37	ga_ls8c_ard_3-0-0_088083_2016-01-23_final
2016-01-24 09:08:01	ga_ls8c_ard_3-0-0_088084_2016-01-23_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 09:05:56	ga_ls8c_ard_3-0-0_088079_2016-02-08_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
2016-02-14 09:20:02	ga_ls8c_ard_3-0-0_091068_2016-02-13_final
2016-02-14 09:21:38	ga_ls8c_ard_3-0-0_091072_2016-02-13_final
2016-03-01 09:19:59	ga_ls8c_ard_3-0-0_091068_2016-02-29_final
2016-03-01 09:21:35	ga_ls8c_ard_3-0-0_091072_2016-02-29_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
2016-03-10 09:16:10	ga_ls8c_ard_3-0-0_090074_2016-03-09_final
2016-03-10 09:16:34	ga_ls8c_ard_3-0-0_090075_2016-03-09_final
2016-03-10 09:16:58	ga_ls8c_ard_3-0-0_090076_2016-03-09_final
2016-03-12 09:05:47	ga_ls8c_ard_3-0-0_088079_2016-03-11_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
2016-03-12 09:07:23	ga_ls8c_ard_3-0-0_088083_2016-03-11_final
2016-03-12 09:07:47	ga_ls8c_ard_3-0-0_088084_2016-03-11_final
2016-03-17 09:19:54	ga_ls8c_ard_3-0-0_091068_2016-03-16_final
2016-03-26 09:16:01	ga_ls8c_ard_3-0-0_090074_2016-03-25_final
2016-03-26 09:16:25	ga_ls8c_ard_3-0-0_090075_2016-03-25_final
2016-03-26 09:16:49	ga_ls8c_ard_3-0-0_090076_2016-03-25_final
2016-03-28 09:06:02	ga_ls8c_ard_3-0-0_088080_2016-03-27_final
2016-03-28 09:06:26	ga_ls8c_ard_3-1-0_088081_2016-03-27_final
2016-03-28 09:06:50	ga_ls8c_ard_3-0-0_088082_2016-03-27_final
2016-03-28 09:07:14	ga_ls8c_ard_3-0-0_088083_2016-03-27_final
2016-03-28 09:07:38	ga_ls8c_ard_3-0-0_088084_2016-03-27_final
2018-09-24 09:15:58	ga_ls8c_ard_3-0-0_090074_2018-09-23_final
2018-09-24 09:16:22	ga_ls8c_ard_3-0-0_090075_2018-09-23_final
2018-09-24 09:16:46	ga_ls8c_ard_3-0-0_090076_2018-09-23_final
2018-10-26 09:16:12	ga_ls8c_ard_3-0-0_090074_2018-10-25_final
2018-10-26 09:16:36	ga_ls8c_ard_3-0-0_090075_2018-10-25_final
2018-10-26 09:16:59	ga_ls8c_ard_3-0-0_090076_2018-10-25_final
2018-10-28 09:05:50	ga_ls8c_ard_3-0-0_088079_2018-10-27_final
2018-10-28 09:06:14	ga_ls8c_ard_3-0-0_088080_2018-10-27_final
2018-10-28 09:06:38	ga_ls8c_ard_3-1-0_088081_2018-10-27_final
2018-10-28 09:07:02	ga_ls8c_ard_3-0-0_088082_2018-10-27_final
2018-10-28 09:07:26	ga_ls8c_ard_3-0-0_088083_2018-10-27_final
2018-10-28 09:07:50	ga_ls8c_ard_3-0-0_088084_2018-10-27_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
2019-06-16 09:10:21	ga_ls8c_ard_3-1-0_089075_2019-06-15_final
2019-06-16 09:10:45	ga_ls8c_ard_3-1-0_089076_2019-06-15_final
2019-06-16 09:11:09	ga_ls8c_ard_3-1-0_089077_2019-06-15_final
2019-06-16 09:11:33	ga_ls8c_ard_3-1-0_089078_2019-06-15_final
2019-06-16 09:11:57	ga_ls8c_ard_3-1-0_089079_2019-06-15_final
2019-06-16 09:12:21	ga_ls8c_ard_3-1-0_089080_2019-06-15_final
2019-10-04 09:20:27	ga_ls8c_ard_3-1-0_091068_2019-10-03_final
2019-11-12 09:26:14	ga_ls8c_ard_3-1-0_092067_2019-11-11_final
2019-11-28 09:26:11	ga_ls8c_ard_3-1-0_092067_2019-11-27_final
2019-12-30 09:26:06	ga_ls8c_ard_3-1-0_092067_2019-12-29_final
2020-01-15 09:26:03	ga_ls8c_ard_3-1-0_092067_2020-01-14_final
2020-01-31 09:25:58	ga_ls8c_ard_3-1-0_092067_2020-01-30_final
2020-02-25 09:20:05	ga_ls8c_ard_3-1-0_091068_2020-02-24_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