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
2013-06-07 11:39:41	ga_ls8c_ard_3-0-0_113072_2013-06-07_final
2013-06-07 11:40:05	ga_ls8c_ard_3-0-0_113073_2013-06-07_final
2013-08-10 11:37:40	ga_ls8c_ard_3-0-0_113067_2013-08-10_final
2013-08-10 11:39:40	ga_ls8c_ard_3-0-0_113072_2013-08-10_final
2013-08-10 11:40:03	ga_ls8c_ard_3-0-0_113073_2013-08-10_final
2013-08-12 11:28:53	ga_ls8c_ard_3-0-0_111076_2013-08-12_final
2013-08-12 11:29:17	ga_ls8c_ard_3-0-0_111077_2013-08-12_final
2013-08-12 11:29:41	ga_ls8c_ard_3-0-0_111078_2013-08-12_final
2013-08-12 11:30:05	ga_ls8c_ard_3-0-0_111079_2013-08-12_final
2013-08-12 11:30:29	ga_ls8c_ard_3-0-0_111080_2013-08-12_final
2013-08-12 11:30:53	ga_ls8c_ard_3-0-0_111081_2013-08-12_final
2013-08-12 11:31:17	ga_ls8c_ard_3-0-0_111082_2013-08-12_final
2013-10-29 11:37:22	ga_ls8c_ard_3-0-0_113067_2013-10-29_final
2013-10-29 11:39:21	ga_ls8c_ard_3-0-0_113072_2013-10-29_final
2013-10-29 11:39:45	ga_ls8c_ard_3-1-0_113073_2013-10-29_final
2013-10-31 11:28:37	ga_ls8c_ard_3-0-0_111076_2013-10-31_final
2013-10-31 11:29:00	ga_ls8c_ard_3-0-0_111077_2013-10-31_final
2013-10-31 11:29:24	ga_ls8c_ard_3-0-0_111078_2013-10-31_final
2013-10-31 11:29:48	ga_ls8c_ard_3-0-0_111079_2013-10-31_final
2013-10-31 11:30:12	ga_ls8c_ard_3-0-0_111080_2013-10-31_final
2013-10-31 11:30:36	ga_ls8c_ard_3-0-0_111081_2013-10-31_final
2013-10-31 11:31:00	ga_ls8c_ard_3-0-0_111082_2013-10-31_final
2013-11-14 11:37:22	ga_ls8c_ard_3-0-0_113067_2013-11-14_final
2013-11-14 11:39:22	ga_ls8c_ard_3-0-0_113072_2013-11-14_final
2013-11-14 11:39:45	ga_ls8c_ard_3-1-0_113073_2013-11-14_final
2016-06-24 11:31:15	ga_ls8c_ard_3-0-0_112072_2016-06-24_final
2016-06-24 11:31:39	ga_ls8c_ard_3-0-0_112073_2016-06-24_final
2016-06-24 11:32:03	ga_ls8c_ard_3-0-0_112074_2016-06-24_final
2016-06-24 11:32:27	ga_ls8c_ard_3-0-0_112075_2016-06-24_final
2016-06-24 11:32:51	ga_ls8c_ard_3-0-0_112076_2016-06-24_final
2016-06-24 11:33:14	ga_ls8c_ard_3-0-0_112077_2016-06-24_final
2016-07-24 11:41:50	ga_ls8c_ard_3-0-0_114067_2016-07-24_final
2016-08-09 11:41:52	ga_ls8c_ard_3-0-0_114067_2016-08-09_final
2016-09-19 11:35:53	ga_ls8c_ard_3-0-0_113067_2016-09-19_final
2016-09-19 11:37:53	ga_ls8c_ard_3-0-0_113072_2016-09-19_final
2016-09-19 11:38:17	ga_ls8c_ard_3-0-0_113073_2016-09-19_final
2016-09-21 11:27:07	ga_ls8c_ard_3-0-0_111076_2016-09-21_final
2016-09-21 11:27:31	ga_ls8c_ard_3-0-0_111077_2016-09-21_final
2016-09-21 11:27:55	ga_ls8c_ard_3-0-0_111078_2016-09-21_final
2016-09-21 11:28:19	ga_ls8c_ard_3-0-0_111079_2016-09-21_final
2016-09-21 11:28:43	ga_ls8c_ard_3-0-0_111080_2016-09-21_final
2016-09-21 11:29:07	ga_ls8c_ard_3-0-0_111081_2016-09-21_final
2016-09-21 11:29:31	ga_ls8c_ard_3-0-0_111082_2016-09-21_final
2017-02-10 11:35:37	ga_ls8c_ard_3-0-0_113067_2017-02-10_final
2017-02-10 11:37:36	ga_ls8c_ard_3-0-0_113072_2017-02-10_final
2017-02-10 11:38:00	ga_ls8c_ard_3-0-0_113073_2017-02-10_final
2017-02-12 11:26:50	ga_ls8c_ard_3-0-0_111076_2017-02-12_final
2017-02-12 11:27:14	ga_ls8c_ard_3-0-0_111077_2017-02-12_final
2017-02-12 11:27:38	ga_ls8c_ard_3-0-0_111078_2017-02-12_final
2017-02-12 11:28:02	ga_ls8c_ard_3-0-0_111079_2017-02-12_final
2017-02-12 11:28:26	ga_ls8c_ard_3-0-0_111080_2017-02-12_final
2017-02-12 11:28:50	ga_ls8c_ard_3-0-0_111081_2017-02-12_final
2017-02-12 11:29:14	ga_ls8c_ard_3-0-0_111082_2017-02-12_final
2017-03-30 11:35:15	ga_ls8c_ard_3-0-0_113067_2017-03-30_final
2017-03-30 11:37:14	ga_ls8c_ard_3-0-0_113072_2017-03-30_final
2017-03-30 11:37:38	ga_ls8c_ard_3-0-0_113073_2017-03-30_final
2017-04-01 11:26:28	ga_ls8c_ard_3-0-0_111076_2017-04-01_final
2017-04-01 11:26:51	ga_ls8c_ard_3-0-0_111077_2017-04-01_final
2017-04-01 11:27:15	ga_ls8c_ard_3-0-0_111078_2017-04-01_final
2017-04-01 11:27:39	ga_ls8c_ard_3-0-0_111079_2017-04-01_final
2017-04-01 11:28:03	ga_ls8c_ard_3-0-0_111080_2017-04-01_final
2017-04-01 11:28:27	ga_ls8c_ard_3-0-0_111081_2017-04-01_final
2017-04-01 11:28:51	ga_ls8c_ard_3-0-0_111082_2017-04-01_final
2017-05-21 11:17:13	ga_ls8c_ard_3-0-0_109084_2017-05-21_final
2017-05-21 11:17:37	ga_ls8c_ard_3-0-0_109085_2017-05-21_final
2017-07-04 11:35:26	ga_ls8c_ard_3-0-0_113067_2017-07-04_final
2017-07-04 11:37:26	ga_ls8c_ard_3-0-0_113072_2017-07-04_final
2017-07-04 11:37:50	ga_ls8c_ard_3-1-0_113073_2017-07-04_final
2017-07-06 11:26:41	ga_ls8c_ard_3-0-0_111076_2017-07-06_final
2017-07-06 11:27:04	ga_ls8c_ard_3-0-0_111077_2017-07-06_final
2017-07-06 11:27:28	ga_ls8c_ard_3-0-0_111078_2017-07-06_final
2017-07-06 11:27:52	ga_ls8c_ard_3-0-0_111079_2017-07-06_final
2017-07-06 11:28:16	ga_ls8c_ard_3-0-0_111080_2017-07-06_final
2017-07-06 11:28:40	ga_ls8c_ard_3-0-0_111081_2017-07-06_final
2017-07-06 11:29:04	ga_ls8c_ard_3-0-0_111082_2017-07-06_final
2021-09-17 11:35:57	ga_ls8c_ard_3-2-0_113067_2021-09-17_final
2021-09-17 11:37:56	ga_ls8c_ard_3-2-0_113072_2021-09-17_final
2021-09-17 11:38:20	ga_ls8c_ard_3-2-0_113073_2021-09-17_final
2021-09-19 11:28:46	ga_ls8c_ard_3-2-0_111080_2021-09-19_final
2021-09-19 11:29:34	ga_ls8c_ard_3-2-0_111082_2021-09-19_final
2021-09-21 11:18:01	ga_ls8c_ard_3-2-0_109084_2021-09-21_final
2021-09-21 11:18:25	ga_ls8c_ard_3-2-0_109085_2021-09-21_final
2021-09-26 11:31:47	ga_ls8c_ard_3-2-0_112072_2021-09-26_final
2021-09-26 11:32:11	ga_ls8c_ard_3-2-0_112073_2021-09-26_final
2021-09-26 11:32:35	ga_ls8c_ard_3-2-0_112074_2021-09-26_final
2021-09-26 11:32:59	ga_ls8c_ard_3-2-0_112075_2021-09-26_final
2021-09-26 11:33:23	ga_ls8c_ard_3-2-0_112076_2021-09-26_final
2021-09-26 11:33:47	ga_ls8c_ard_3-2-0_112077_2021-09-26_final
2021-09-28 11:22:38	ga_ls8c_ard_3-2-0_110080_2021-09-28_final
2021-09-28 11:23:02	ga_ls8c_ard_3-2-0_110081_2021-09-28_final
2021-09-28 11:23:26	ga_ls8c_ard_3-2-0_110082_2021-09-28_final
2021-09-28 11:23:50	ga_ls8c_ard_3-2-0_110083_2021-09-28_final
2021-09-28 11:24:14	ga_ls8c_ard_3-2-0_110084_2021-09-28_final
2021-09-28 11:24:38	ga_ls8c_ard_3-2-0_110085_2021-09-28_final
2021-10-10 11:42:14	ga_ls8c_ard_3-2-0_114067_2021-10-10_final
2021-10-14 11:22:43	ga_ls8c_ard_3-2-0_110080_2021-10-14_final
2021-10-14 11:23:07	ga_ls8c_ard_3-2-0_110081_2021-10-14_final
2021-10-14 11:23:31	ga_ls8c_ard_3-2-0_110082_2021-10-14_final
2021-10-14 11:23:55	ga_ls8c_ard_3-2-0_110083_2021-10-14_final
2021-10-14 11:24:19	ga_ls8c_ard_3-2-0_110084_2021-10-14_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