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
2015-01-19 09:16:42	ga_ls8c_ard_3-0-0_090075_2015-01-18_final
2015-01-19 09:17:06	ga_ls8c_ard_3-0-0_090076_2015-01-18_final
2015-02-06 09:06:15	ga_ls8c_ard_3-0-0_088080_2015-02-05_final
2015-02-06 09:06:39	ga_ls8c_ard_3-1-0_088081_2015-02-05_final
2015-02-06 09:07:03	ga_ls8c_ard_3-0-0_088082_2015-02-05_final
2015-02-20 09:16:31	ga_ls8c_ard_3-0-0_090075_2015-02-19_final
2015-02-20 09:16:55	ga_ls8c_ard_3-0-0_090076_2015-02-19_final
2015-02-27 09:19:52	ga_ls8c_ard_3-0-0_091068_2015-02-26_final
2015-03-01 09:10:17	ga_ls8c_ard_3-0-0_089075_2015-02-28_final
2015-03-01 09:10:41	ga_ls8c_ard_3-0-0_089076_2015-02-28_final
2015-03-01 09:11:05	ga_ls8c_ard_3-0-0_089077_2015-02-28_final
2015-03-01 09:11:29	ga_ls8c_ard_3-0-0_089078_2015-02-28_final
2015-03-01 09:11:53	ga_ls8c_ard_3-0-0_089079_2015-02-28_final
2015-03-01 09:12:17	ga_ls8c_ard_3-0-0_089080_2015-02-28_final
2015-03-08 09:16:23	ga_ls8c_ard_3-0-0_090075_2015-03-07_final
2015-03-08 09:16:47	ga_ls8c_ard_3-0-0_090076_2015-03-07_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
2015-04-25 09:15:37	ga_ls8c_ard_3-0-0_090074_2015-04-24_final
2015-04-25 09:16:01	ga_ls8c_ard_3-0-0_090075_2015-04-24_final
2015-04-27 09:05:14	ga_ls8c_ard_3-0-0_088079_2015-04-26_final
2015-04-27 09:05:38	ga_ls8c_ard_3-0-0_088080_2015-04-26_final
2015-04-27 09:06:02	ga_ls8c_ard_3-1-0_088081_2015-04-26_final
2015-04-27 09:06:26	ga_ls8c_ard_3-0-0_088082_2015-04-26_final
2015-04-27 09:06:50	ga_ls8c_ard_3-0-0_088083_2015-04-26_final
2015-04-27 09:07:14	ga_ls8c_ard_3-0-0_088084_2015-04-26_final
2015-06-19 09:19:24	ga_ls8c_ard_3-0-0_091068_2015-06-18_final
2017-05-18 09:05:24	ga_ls8c_ard_3-0-0_088079_2017-05-17_final
2017-05-18 09:05:48	ga_ls8c_ard_3-0-0_088080_2017-05-17_final
2017-05-18 09:06:12	ga_ls8c_ard_3-1-0_088081_2017-05-17_final
2017-05-18 09:06:36	ga_ls8c_ard_3-0-0_088082_2017-05-17_final
2017-05-18 09:07:00	ga_ls8c_ard_3-0-0_088083_2017-05-17_final
2017-05-18 09:07:24	ga_ls8c_ard_3-0-0_088084_2017-05-17_final
2017-05-23 09:19:36	ga_ls8c_ard_3-0-0_091068_2017-05-22_final
2017-09-05 09:16:25	ga_ls8c_ard_3-0-0_090074_2017-09-04_final
2017-09-05 09:16:49	ga_ls8c_ard_3-0-0_090075_2017-09-04_final
2017-09-07 09:06:03	ga_ls8c_ard_3-0-0_088079_2017-09-06_final
2017-09-07 09:06:27	ga_ls8c_ard_3-0-0_088080_2017-09-06_final
2017-09-07 09:06:51	ga_ls8c_ard_3-1-0_088081_2017-09-06_final
2017-09-07 09:07:15	ga_ls8c_ard_3-0-0_088082_2017-09-06_final
2017-09-07 09:07:39	ga_ls8c_ard_3-0-0_088083_2017-09-06_final
2017-09-07 09:08:03	ga_ls8c_ard_3-0-0_088084_2017-09-06_final
2017-10-25 09:06:14	ga_ls8c_ard_3-0-0_088079_2017-10-24_final
2017-10-25 09:06:38	ga_ls8c_ard_3-0-0_088080_2017-10-24_final
2017-10-25 09:07:02	ga_ls8c_ard_3-1-0_088081_2017-10-24_final
2017-10-25 09:07:26	ga_ls8c_ard_3-0-0_088082_2017-10-24_final
2017-10-25 09:07:50	ga_ls8c_ard_3-0-0_088083_2017-10-24_final
2017-10-25 09:08:14	ga_ls8c_ard_3-0-0_088084_2017-10-24_final
2017-11-10 09:06:12	ga_ls8c_ard_3-0-0_088079_2017-11-09_final
2017-11-10 09:06:36	ga_ls8c_ard_3-0-0_088080_2017-11-09_final
2017-11-10 09:07:00	ga_ls8c_ard_3-1-0_088081_2017-11-09_final
2017-11-10 09:07:24	ga_ls8c_ard_3-0-0_088082_2017-11-09_final
2017-11-10 09:07:48	ga_ls8c_ard_3-0-0_088083_2017-11-09_final
2017-11-10 09:08:12	ga_ls8c_ard_3-0-0_088084_2017-11-09_final
2017-11-26 09:06:07	ga_ls8c_ard_3-0-0_088079_2017-11-25_final
2017-11-26 09:06:31	ga_ls8c_ard_3-0-0_088080_2017-11-25_final
2017-12-10 09:16:27	ga_ls8c_ard_3-0-0_090074_2017-12-09_final
2017-12-10 09:16:51	ga_ls8c_ard_3-0-0_090075_2017-12-09_final
2017-12-10 09:17:14	ga_ls8c_ard_3-0-0_090076_2017-12-09_final
2017-12-12 09:06:05	ga_ls8c_ard_3-0-0_088079_2017-12-11_final
2017-12-12 09:06:29	ga_ls8c_ard_3-0-0_088080_2017-12-11_final
2017-12-12 09:06:53	ga_ls8c_ard_3-1-0_088081_2017-12-11_final
2017-12-12 09:07:17	ga_ls8c_ard_3-0-0_088082_2017-12-11_final
2017-12-12 09:07:41	ga_ls8c_ard_3-0-0_088083_2017-12-11_final
2017-12-12 09:08:05	ga_ls8c_ard_3-0-0_088084_2017-12-11_final
2017-12-28 09:06:07	ga_ls8c_ard_3-0-0_088079_2017-12-27_final
2017-12-28 09:06:31	ga_ls8c_ard_3-0-0_088080_2017-12-27_final
2017-12-28 09:06:54	ga_ls8c_ard_3-1-0_088081_2017-12-27_final
2017-12-28 09:07:18	ga_ls8c_ard_3-0-0_088082_2017-12-27_final
2017-12-28 09:07:42	ga_ls8c_ard_3-0-0_088083_2017-12-27_final
2017-12-28 09:08:06	ga_ls8c_ard_3-0-0_088084_2017-12-27_final
2018-02-14 09:05:45	ga_ls8c_ard_3-0-0_088079_2018-02-13_final
2018-02-14 09:06:09	ga_ls8c_ard_3-0-0_088080_2018-02-13_final
2018-02-14 09:06:33	ga_ls8c_ard_3-1-0_088081_2018-02-13_final
2018-02-14 09:06:57	ga_ls8c_ard_3-0-0_088082_2018-02-13_final
2018-02-14 09:07:21	ga_ls8c_ard_3-0-0_088083_2018-02-13_final
2018-02-14 09:07:45	ga_ls8c_ard_3-0-0_088084_2018-02-13_final
2018-02-19 09:19:52	ga_ls8c_ard_3-0-0_091068_2018-02-18_final
2018-04-17 09:15:36	ga_ls8c_ard_3-0-0_090074_2018-04-16_final
2018-04-17 09:16:00	ga_ls8c_ard_3-0-0_090075_2018-04-16_final
2018-04-17 09:16:24	ga_ls8c_ard_3-0-0_090076_2018-04-16_final
2018-04-19 09:05:12	ga_ls8c_ard_3-0-0_088079_2018-04-18_final
2018-04-19 09:05:36	ga_ls8c_ard_3-0-0_088080_2018-04-18_final
2018-04-19 09:06:00	ga_ls8c_ard_3-1-0_088081_2018-04-18_final
2018-04-19 09:06:24	ga_ls8c_ard_3-0-0_088082_2018-04-18_final
2018-04-19 09:06:48	ga_ls8c_ard_3-0-0_088083_2018-04-18_final
2018-04-19 09:07:12	ga_ls8c_ard_3-0-0_088084_2018-04-18_final
2019-12-23 09:20:21	ga_ls8c_ard_3-1-0_091068_2019-12-22_final
2020-01-24 09:20:13	ga_ls8c_ard_3-1-0_091068_2020-01-23_final
2020-04-22 09:15:51	ga_ls8c_ard_3-1-0_090074_2020-04-21_final
2020-04-22 09:16:15	ga_ls8c_ard_3-1-0_090075_2020-04-21_final
2020-05-10 09:05:20	ga_ls8c_ard_3-1-0_088079_2020-05-09_final
2020-05-10 09:05:44	ga_ls8c_ard_3-1-0_088080_2020-05-09_final
2020-05-10 09:06:08	ga_ls8c_ard_3-1-0_088081_2020-05-09_final
2020-05-10 09:06:32	ga_ls8c_ard_3-1-0_088082_2020-05-09_final
2020-05-10 09:06:56	ga_ls8c_ard_3-1-0_088083_2020-05-09_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years