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
2014-02-22 11:18:29	ga_ls8c_ard_3-0-0_109084_2014-02-22_final
2014-03-31 11:31:42	ga_ls8c_ard_3-0-0_112072_2014-03-31_final
2014-03-31 11:32:05	ga_ls8c_ard_3-0-0_112073_2014-03-31_final
2014-03-31 11:32:29	ga_ls8c_ard_3-0-0_112074_2014-03-31_final
2014-03-31 11:32:53	ga_ls8c_ard_3-0-0_112075_2014-03-31_final
2014-03-31 11:33:17	ga_ls8c_ard_3-0-0_112076_2014-03-31_final
2014-03-31 11:33:41	ga_ls8c_ard_3-0-0_112077_2014-03-31_final
2014-03-31 11:34:05	ga_ls8c_ard_3-0-0_112078_2014-03-31_final
2014-05-04 11:22:46	ga_ls8c_ard_3-0-0_110082_2014-05-04_final
2014-05-04 11:23:10	ga_ls8c_ard_3-0-0_110083_2014-05-04_final
2014-05-18 11:30:59	ga_ls8c_ard_3-0-0_112072_2014-05-18_final
2014-05-18 11:31:23	ga_ls8c_ard_3-0-0_112073_2014-05-18_final
2014-05-18 11:31:47	ga_ls8c_ard_3-0-0_112074_2014-05-18_final
2014-05-18 11:32:11	ga_ls8c_ard_3-0-0_112075_2014-05-18_final
2014-05-18 11:32:35	ga_ls8c_ard_3-0-0_112076_2014-05-18_final
2014-05-18 11:32:59	ga_ls8c_ard_3-0-0_112077_2014-05-18_final
2014-05-20 11:22:13	ga_ls8c_ard_3-0-0_110081_2014-05-20_final
2014-05-20 11:22:37	ga_ls8c_ard_3-0-0_110082_2014-05-20_final
2014-05-20 11:23:01	ga_ls8c_ard_3-0-0_110083_2014-05-20_final
2014-05-20 11:23:25	ga_ls8c_ard_3-0-0_110084_2014-05-20_final
2014-07-03 11:41:37	ga_ls8c_ard_3-0-0_114067_2014-07-03_final
2014-07-30 11:26:50	ga_ls8c_ard_3-0-0_111076_2014-07-30_final
2014-07-30 11:27:14	ga_ls8c_ard_3-0-0_111077_2014-07-30_final
2014-07-30 11:27:38	ga_ls8c_ard_3-0-0_111078_2014-07-30_final
2014-07-30 11:28:01	ga_ls8c_ard_3-0-0_111079_2014-07-30_final
2014-07-30 11:28:25	ga_ls8c_ard_3-0-0_111080_2014-07-30_final
2014-07-30 11:28:49	ga_ls8c_ard_3-0-0_111081_2014-07-30_final
2014-07-30 11:29:13	ga_ls8c_ard_3-0-0_111082_2014-07-30_final
2014-08-15 11:26:57	ga_ls8c_ard_3-0-0_111076_2014-08-15_final
2014-08-15 11:27:21	ga_ls8c_ard_3-0-0_111077_2014-08-15_final
2014-08-15 11:27:45	ga_ls8c_ard_3-0-0_111078_2014-08-15_final
2014-08-15 11:28:09	ga_ls8c_ard_3-0-0_111079_2014-08-15_final
2014-08-15 11:28:32	ga_ls8c_ard_3-0-0_111080_2014-08-15_final
2014-08-15 11:28:56	ga_ls8c_ard_3-0-0_111081_2014-08-15_final
2014-08-15 11:29:20	ga_ls8c_ard_3-0-0_111082_2014-08-15_final
2014-09-16 11:27:01	ga_ls8c_ard_3-0-0_111076_2014-09-16_final
2014-09-16 11:27:25	ga_ls8c_ard_3-0-0_111077_2014-09-16_final
2014-09-16 11:27:49	ga_ls8c_ard_3-0-0_111078_2014-09-16_final
2014-09-16 11:28:13	ga_ls8c_ard_3-0-0_111079_2014-09-16_final
2014-09-16 11:28:37	ga_ls8c_ard_3-0-0_111080_2014-09-16_final
2014-09-16 11:29:01	ga_ls8c_ard_3-0-0_111081_2014-09-16_final
2014-09-18 11:17:51	ga_ls8c_ard_3-0-0_109084_2014-09-18_final
2014-10-02 11:27:03	ga_ls8c_ard_3-0-0_111076_2014-10-02_final
2014-10-02 11:27:27	ga_ls8c_ard_3-0-0_111077_2014-10-02_final
2014-10-02 11:27:51	ga_ls8c_ard_3-0-0_111078_2014-10-02_final
2014-10-02 11:28:15	ga_ls8c_ard_3-0-0_111079_2014-10-02_final
2014-10-02 11:28:39	ga_ls8c_ard_3-0-0_111080_2014-10-02_final
2014-10-02 11:29:03	ga_ls8c_ard_3-0-0_111081_2014-10-02_final
2014-10-02 11:29:27	ga_ls8c_ard_3-0-0_111082_2014-10-02_final
2014-10-27 11:22:53	ga_ls8c_ard_3-0-0_110081_2014-10-27_final
2014-10-27 11:23:17	ga_ls8c_ard_3-0-0_110082_2014-10-27_final
2014-10-27 11:23:41	ga_ls8c_ard_3-0-0_110083_2014-10-27_final
2014-10-27 11:24:05	ga_ls8c_ard_3-0-0_110084_2014-10-27_final
2014-11-17 11:35:51	ga_ls8c_ard_3-0-0_113067_2014-11-17_final
2014-11-17 11:37:51	ga_ls8c_ard_3-0-0_113072_2014-11-17_final
2014-11-17 11:38:15	ga_ls8c_ard_3-0-0_113073_2014-11-17_final
2019-06-10 11:26:41	ga_ls8c_ard_3-0-0_111076_2019-06-10_final
2019-06-10 11:27:05	ga_ls8c_ard_3-0-0_111077_2019-06-10_final
2019-06-10 11:27:28	ga_ls8c_ard_3-0-0_111078_2019-06-10_final
2019-06-10 11:27:52	ga_ls8c_ard_3-0-0_111079_2019-06-10_final
2019-06-10 11:28:16	ga_ls8c_ard_3-0-0_111080_2019-06-10_final
2019-06-10 11:28:40	ga_ls8c_ard_3-0-0_111081_2019-06-10_final
2019-06-10 11:29:04	ga_ls8c_ard_3-0-0_111082_2019-06-10_final
2019-06-26 11:26:46	ga_ls8c_ard_3-1-0_111076_2019-06-26_final
2019-06-26 11:27:10	ga_ls8c_ard_3-1-0_111077_2019-06-26_final
2019-06-26 11:27:34	ga_ls8c_ard_3-1-0_111078_2019-06-26_final
2019-06-26 11:27:58	ga_ls8c_ard_3-1-0_111079_2019-06-26_final
2019-06-26 11:28:22	ga_ls8c_ard_3-1-0_111080_2019-06-26_final
2019-06-26 11:28:46	ga_ls8c_ard_3-1-0_111081_2019-06-26_final
2019-06-26 11:29:10	ga_ls8c_ard_3-1-0_111082_2019-06-26_final
2019-06-28 11:17:36	ga_ls8c_ard_3-1-0_109084_2019-06-28_final
2019-06-28 11:18:00	ga_ls8c_ard_3-1-0_109085_2019-06-28_final
2019-07-30 11:17:45	ga_ls8c_ard_3-1-0_109084_2019-07-30_final
2019-07-30 11:18:09	ga_ls8c_ard_3-1-0_109085_2019-07-30_final
2019-08-13 11:27:00	ga_ls8c_ard_3-1-0_111076_2019-08-13_final
2019-08-13 11:27:24	ga_ls8c_ard_3-1-0_111077_2019-08-13_final
2019-08-13 11:27:48	ga_ls8c_ard_3-1-0_111078_2019-08-13_final
2019-08-13 11:28:12	ga_ls8c_ard_3-1-0_111079_2019-08-13_final
2019-08-13 11:28:36	ga_ls8c_ard_3-1-0_111080_2019-08-13_final
2019-08-13 11:29:00	ga_ls8c_ard_3-1-0_111081_2019-08-13_final
2019-08-13 11:29:24	ga_ls8c_ard_3-1-0_111082_2019-08-13_final
2019-08-15 11:17:51	ga_ls8c_ard_3-1-0_109084_2019-08-15_final
2019-08-15 11:18:15	ga_ls8c_ard_3-1-0_109085_2019-08-15_final
2019-08-29 11:27:04	ga_ls8c_ard_3-1-0_111076_2019-08-29_final
2019-08-29 11:27:28	ga_ls8c_ard_3-1-0_111077_2019-08-29_final
2019-08-29 11:27:52	ga_ls8c_ard_3-1-0_111078_2019-08-29_final
2019-08-29 11:28:16	ga_ls8c_ard_3-1-0_111079_2019-08-29_final
2019-08-29 11:28:40	ga_ls8c_ard_3-1-0_111080_2019-08-29_final
2019-08-29 11:29:04	ga_ls8c_ard_3-1-0_111081_2019-08-29_final
2019-08-29 11:29:28	ga_ls8c_ard_3-1-0_111082_2019-08-29_final
2019-09-28 11:36:00	ga_ls8c_ard_3-1-0_113067_2019-09-28_final
2019-09-28 11:37:35	ga_ls8c_ard_3-1-0_113071_2019-09-28_final
2019-09-28 11:37:59	ga_ls8c_ard_3-1-0_113072_2019-09-28_final
2019-09-28 11:38:23	ga_ls8c_ard_3-1-0_113073_2019-09-28_final
2019-09-30 11:27:14	ga_ls8c_ard_3-1-0_111076_2019-09-30_final
2019-09-30 11:27:38	ga_ls8c_ard_3-1-0_111077_2019-09-30_final
2019-09-30 11:28:02	ga_ls8c_ard_3-1-0_111078_2019-09-30_final
2019-09-30 11:28:26	ga_ls8c_ard_3-1-0_111079_2019-09-30_final
2019-09-30 11:28:50	ga_ls8c_ard_3-1-0_111080_2019-09-30_final
2019-09-30 11:29:14	ga_ls8c_ard_3-1-0_111081_2019-09-30_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