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
2013-04-29 11:33:38	ga_ls8c_ard_3-0-0_112073_2013-04-29_final
2013-04-29 11:34:02	ga_ls8c_ard_3-0-0_112074_2013-04-29_final
2013-04-29 11:34:26	ga_ls8c_ard_3-0-0_112075_2013-04-29_final
2013-04-29 11:34:50	ga_ls8c_ard_3-0-0_112076_2013-04-29_final
2013-04-29 11:35:14	ga_ls8c_ard_3-0-0_112077_2013-04-29_final
2013-04-29 11:35:38	ga_ls8c_ard_3-0-0_112078_2013-04-29_final
2013-06-14 11:43:49	ga_ls8c_ard_3-0-0_114067_2013-06-14_final
2013-06-16 11:33:26	ga_ls8c_ard_3-0-0_112072_2013-06-16_final
2013-06-16 11:33:50	ga_ls8c_ard_3-0-0_112073_2013-06-16_final
2013-06-16 11:34:14	ga_ls8c_ard_3-0-0_112074_2013-06-16_final
2013-06-16 11:34:38	ga_ls8c_ard_3-0-0_112075_2013-06-16_final
2013-06-16 11:35:02	ga_ls8c_ard_3-0-0_112076_2013-06-16_final
2013-06-16 11:35:26	ga_ls8c_ard_3-0-0_112077_2013-06-16_final
2013-06-16 11:35:50	ga_ls8c_ard_3-0-0_112078_2013-06-16_final
2013-06-18 11:24:39	ga_ls8c_ard_3-0-0_110081_2013-06-18_final
2013-06-18 11:25:02	ga_ls8c_ard_3-0-0_110082_2013-06-18_final
2013-06-18 11:25:26	ga_ls8c_ard_3-0-0_110083_2013-06-18_final
2013-06-18 11:25:50	ga_ls8c_ard_3-0-0_110084_2013-06-18_final
2017-10-24 11:35:57	ga_ls8c_ard_3-0-0_113067_2017-10-24_final
2017-10-24 11:37:57	ga_ls8c_ard_3-0-0_113072_2017-10-24_final
2017-10-24 11:38:21	ga_ls8c_ard_3-0-0_113073_2017-10-24_final
2018-01-12 11:35:44	ga_ls8c_ard_3-0-0_113067_2018-01-12_final
2018-01-12 11:37:43	ga_ls8c_ard_3-0-0_113072_2018-01-12_final
2018-01-12 11:38:07	ga_ls8c_ard_3-0-0_113073_2018-01-12_final
2018-10-18 11:41:41	ga_ls8c_ard_3-0-0_114067_2018-10-18_final
2018-11-03 11:41:45	ga_ls8c_ard_3-0-0_114067_2018-11-03_final
2018-11-19 11:41:46	ga_ls8c_ard_3-0-0_114067_2018-11-19_final
2019-11-08 11:31:50	ga_ls8c_ard_3-1-0_112072_2019-11-08_final
2019-11-08 11:32:14	ga_ls8c_ard_3-1-0_112073_2019-11-08_final
2019-11-08 11:32:38	ga_ls8c_ard_3-1-0_112074_2019-11-08_final
2019-11-08 11:33:02	ga_ls8c_ard_3-1-0_112075_2019-11-08_final
2019-11-08 11:33:26	ga_ls8c_ard_3-1-0_112076_2019-11-08_final
2019-11-08 11:33:50	ga_ls8c_ard_3-1-0_112077_2019-11-08_final
2019-11-08 11:34:14	ga_ls8c_ard_3-1-0_112078_2019-11-08_final
2019-11-10 11:23:04	ga_ls8c_ard_3-1-0_110081_2019-11-10_final
2019-11-10 11:23:28	ga_ls8c_ard_3-1-0_110082_2019-11-10_final
2019-11-10 11:23:52	ga_ls8c_ard_3-1-0_110083_2019-11-10_final
2019-11-10 11:24:16	ga_ls8c_ard_3-1-0_110084_2019-11-10_final
2019-11-10 11:24:40	ga_ls8c_ard_3-1-0_110085_2019-11-10_final
2019-11-24 11:31:47	ga_ls8c_ard_3-1-0_112072_2019-11-24_final
2019-11-24 11:32:11	ga_ls8c_ard_3-1-0_112073_2019-11-24_final
2019-11-24 11:32:35	ga_ls8c_ard_3-1-0_112074_2019-11-24_final
2019-11-24 11:32:59	ga_ls8c_ard_3-1-0_112075_2019-11-24_final
2019-11-24 11:33:23	ga_ls8c_ard_3-1-0_112076_2019-11-24_final
2019-11-24 11:33:47	ga_ls8c_ard_3-1-0_112077_2019-11-24_final
2019-11-24 11:34:11	ga_ls8c_ard_3-1-0_112078_2019-11-24_final
2019-11-26 11:23:01	ga_ls8c_ard_3-1-0_110081_2019-11-26_final
2019-11-26 11:23:25	ga_ls8c_ard_3-1-0_110082_2019-11-26_final
2019-11-26 11:23:49	ga_ls8c_ard_3-1-0_110083_2019-11-26_final
2019-11-26 11:24:13	ga_ls8c_ard_3-1-0_110084_2019-11-26_final
2019-11-26 11:24:37	ga_ls8c_ard_3-1-0_110085_2019-11-26_final
2019-12-28 11:22:56	ga_ls8c_ard_3-1-0_110081_2019-12-28_final
2019-12-28 11:23:20	ga_ls8c_ard_3-1-0_110082_2019-12-28_final
2019-12-28 11:23:44	ga_ls8c_ard_3-1-0_110083_2019-12-28_final
2019-12-28 11:24:08	ga_ls8c_ard_3-1-0_110084_2019-12-28_final
2019-12-28 11:24:32	ga_ls8c_ard_3-1-0_110085_2019-12-28_final
2020-01-11 11:31:39	ga_ls8c_ard_3-1-0_112072_2020-01-11_final
2020-01-11 11:32:03	ga_ls8c_ard_3-1-0_112073_2020-01-11_final
2020-01-11 11:32:27	ga_ls8c_ard_3-1-0_112074_2020-01-11_final
2020-01-11 11:32:51	ga_ls8c_ard_3-1-0_112075_2020-01-11_final
2020-01-11 11:33:15	ga_ls8c_ard_3-1-0_112076_2020-01-11_final
2020-01-11 11:33:39	ga_ls8c_ard_3-1-0_112077_2020-01-11_final
2020-01-11 11:34:03	ga_ls8c_ard_3-1-0_112078_2020-01-11_final
2020-01-22 11:18:16	ga_ls8c_ard_3-1-0_109085_2020-01-22_final
2020-01-27 11:31:35	ga_ls8c_ard_3-1-0_112072_2020-01-27_final
2020-01-27 11:31:59	ga_ls8c_ard_3-1-0_112073_2020-01-27_final
2020-01-27 11:32:23	ga_ls8c_ard_3-1-0_112074_2020-01-27_final
2020-01-27 11:32:47	ga_ls8c_ard_3-1-0_112075_2020-01-27_final
2020-01-27 11:33:11	ga_ls8c_ard_3-1-0_112076_2020-01-27_final
2020-01-27 11:33:35	ga_ls8c_ard_3-1-0_112077_2020-01-27_final
2020-01-27 11:33:59	ga_ls8c_ard_3-1-0_112078_2020-01-27_final
2020-01-29 11:22:48	ga_ls8c_ard_3-1-0_110081_2020-01-29_final
2020-01-29 11:23:12	ga_ls8c_ard_3-1-0_110082_2020-01-29_final
2020-01-29 11:23:36	ga_ls8c_ard_3-1-0_110083_2020-01-29_final
2020-01-29 11:24:00	ga_ls8c_ard_3-1-0_110084_2020-01-29_final
2020-01-29 11:24:24	ga_ls8c_ard_3-1-0_110085_2020-01-29_final
2020-02-05 11:27:21	ga_ls8c_ard_3-1-0_111077_2020-02-05_final
2020-02-05 11:27:44	ga_ls8c_ard_3-1-0_111078_2020-02-05_final
2020-02-05 11:28:08	ga_ls8c_ard_3-1-0_111079_2020-02-05_final
2020-02-05 11:28:32	ga_ls8c_ard_3-1-0_111080_2020-02-05_final
2020-02-05 11:28:56	ga_ls8c_ard_3-1-0_111081_2020-02-05_final
2020-02-05 11:29:20	ga_ls8c_ard_3-1-0_111082_2020-02-05_final
2020-02-07 11:18:10	ga_ls8c_ard_3-1-0_109085_2020-02-07_final
2022-08-21 11:27:25	ga_ls8c_ard_3-2-1_111076_2022-08-21_final
2022-08-21 11:27:49	ga_ls8c_ard_3-2-1_111077_2022-08-21_final
2022-08-21 11:28:13	ga_ls8c_ard_3-2-1_111078_2022-08-21_final
2022-08-21 11:28:37	ga_ls8c_ard_3-2-1_111079_2022-08-21_final
2022-08-21 11:29:01	ga_ls8c_ard_3-2-1_111080_2022-08-21_final
2022-08-21 11:29:25	ga_ls8c_ard_3-2-1_111081_2022-08-21_final
2022-08-21 11:29:49	ga_ls8c_ard_3-2-1_111082_2022-08-21_final
2022-10-24 11:27:29	ga_ls8c_ard_3-2-1_111076_2022-10-24_final
2022-10-24 11:27:53	ga_ls8c_ard_3-2-1_111077_2022-10-24_final
2022-10-24 11:28:17	ga_ls8c_ard_3-2-1_111078_2022-10-24_final
2022-10-24 11:28:41	ga_ls8c_ard_3-2-1_111079_2022-10-24_final
2022-10-24 11:29:05	ga_ls8c_ard_3-2-1_111080_2022-10-24_final
2022-10-24 11:29:29	ga_ls8c_ard_3-2-1_111081_2022-10-24_final
2022-10-24 11:29:53	ga_ls8c_ard_3-2-1_111082_2022-10-24_final
2022-11-02 11:23:45	ga_ls8c_ard_3-2-1_110082_2022-11-02_final
2022-11-02 11:24:32	ga_ls8c_ard_3-2-1_110084_2022-11-02_final
2022-11-07 11:38:17	ga_ls8c_ard_3-2-1_113072_2022-11-07_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