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
2015-01-31 11:23:03	ga_ls8c_ard_3-0-0_110082_2015-01-31_final
2015-01-31 11:23:27	ga_ls8c_ard_3-0-0_110083_2015-01-31_final
2015-01-31 11:23:51	ga_ls8c_ard_3-0-0_110084_2015-01-31_final
2015-02-23 11:27:29	ga_ls8c_ard_3-0-0_111078_2015-02-23_final
2015-02-23 11:27:53	ga_ls8c_ard_3-0-0_111079_2015-02-23_final
2015-02-23 11:28:17	ga_ls8c_ard_3-0-0_111080_2015-02-23_final
2015-02-23 11:28:41	ga_ls8c_ard_3-0-0_111081_2015-02-23_final
2015-02-23 11:29:05	ga_ls8c_ard_3-0-0_111082_2015-02-23_final
2015-02-23 11:29:29	ga_ls8c_ard_3-0-0_111083_2015-02-23_final
2015-03-25 11:37:10	ga_ls8c_ard_3-0-0_113072_2015-03-25_final
2015-03-25 11:37:34	ga_ls8c_ard_3-0-0_113073_2015-03-25_final
2015-03-25 11:37:58	ga_ls8c_ard_3-0-0_113074_2015-03-25_final
2015-04-10 11:37:01	ga_ls8c_ard_3-0-0_113072_2015-04-10_final
2015-04-10 11:37:25	ga_ls8c_ard_3-0-0_113073_2015-04-10_final
2015-04-10 11:37:49	ga_ls8c_ard_3-0-0_113074_2015-04-10_final
2015-04-12 11:27:04	ga_ls8c_ard_3-0-0_111078_2015-04-12_final
2015-04-12 11:27:27	ga_ls8c_ard_3-0-0_111079_2015-04-12_final
2015-04-12 11:27:51	ga_ls8c_ard_3-0-0_111080_2015-04-12_final
2015-04-12 11:28:15	ga_ls8c_ard_3-0-0_111081_2015-04-12_final
2015-04-12 11:28:39	ga_ls8c_ard_3-0-0_111082_2015-04-12_final
2015-04-12 11:29:03	ga_ls8c_ard_3-0-0_111083_2015-04-12_final
2015-05-12 11:36:41	ga_ls8c_ard_3-0-0_113072_2015-05-12_final
2015-05-12 11:37:05	ga_ls8c_ard_3-0-0_113073_2015-05-12_final
2015-05-12 11:37:29	ga_ls8c_ard_3-0-0_113074_2015-05-12_final
2016-05-14 11:37:11	ga_ls8c_ard_3-0-0_113072_2016-05-14_final
2016-05-16 11:27:14	ga_ls8c_ard_3-0-0_111078_2016-05-16_final
2016-05-16 11:27:38	ga_ls8c_ard_3-0-0_111079_2016-05-16_final
2016-05-16 11:28:02	ga_ls8c_ard_3-0-0_111080_2016-05-16_final
2016-05-16 11:28:26	ga_ls8c_ard_3-0-0_111081_2016-05-16_final
2016-05-16 11:28:50	ga_ls8c_ard_3-0-0_111082_2016-05-16_final
2016-05-16 11:29:14	ga_ls8c_ard_3-0-0_111083_2016-05-16_final
2016-05-21 11:41:26	ga_ls8c_ard_3-0-0_114067_2016-05-21_final
2016-06-22 11:41:36	ga_ls8c_ard_3-0-0_114067_2016-06-22_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
2016-06-24 11:33:38	ga_ls8c_ard_3-0-0_112078_2016-06-24_final
2016-06-24 11:34:02	ga_ls8c_ard_3-0-0_112079_2016-06-24_final
2016-07-21 11:18:06	ga_ls8c_ard_3-0-0_109085_2016-07-21_final
2016-07-24 11:41:50	ga_ls8c_ard_3-0-0_114067_2016-07-24_final
2016-08-02 11:37:40	ga_ls8c_ard_3-0-0_113072_2016-08-02_final
2016-08-02 11:38:04	ga_ls8c_ard_3-1-0_113073_2016-08-02_final
2016-08-02 11:38:28	ga_ls8c_ard_3-0-0_113074_2016-08-02_final
2016-08-04 11:27:42	ga_ls8c_ard_3-0-0_111078_2016-08-04_final
2016-08-04 11:28:06	ga_ls8c_ard_3-0-0_111079_2016-08-04_final
2016-08-04 11:28:30	ga_ls8c_ard_3-0-0_111080_2016-08-04_final
2016-08-04 11:28:54	ga_ls8c_ard_3-0-0_111081_2016-08-04_final
2016-08-04 11:29:18	ga_ls8c_ard_3-0-0_111082_2016-08-04_final
2016-08-04 11:29:42	ga_ls8c_ard_3-0-0_111083_2016-08-04_final
2016-08-06 11:18:08	ga_ls8c_ard_3-0-0_109085_2016-08-06_final
2016-08-09 11:41:52	ga_ls8c_ard_3-0-0_114067_2016-08-09_final
2016-08-11 11:31:54	ga_ls8c_ard_3-0-0_112073_2016-08-11_final
2016-08-11 11:32:18	ga_ls8c_ard_3-0-0_112074_2016-08-11_final
2016-08-11 11:32:42	ga_ls8c_ard_3-0-0_112075_2016-08-11_final
2016-08-11 11:33:06	ga_ls8c_ard_3-0-0_112076_2016-08-11_final
2016-08-11 11:33:30	ga_ls8c_ard_3-0-0_112077_2016-08-11_final
2016-08-11 11:33:53	ga_ls8c_ard_3-0-0_112078_2016-08-11_final
2016-08-11 11:34:17	ga_ls8c_ard_3-0-0_112079_2016-08-11_final
2016-09-10 11:42:03	ga_ls8c_ard_3-0-0_114067_2016-09-10_final
2016-09-12 11:32:06	ga_ls8c_ard_3-0-0_112073_2016-09-12_final
2016-09-12 11:32:29	ga_ls8c_ard_3-0-0_112074_2016-09-12_final
2016-09-12 11:32:53	ga_ls8c_ard_3-0-0_112075_2016-09-12_final
2016-09-12 11:33:17	ga_ls8c_ard_3-0-0_112076_2016-09-12_final
2016-09-12 11:33:41	ga_ls8c_ard_3-0-0_112077_2016-09-12_final
2016-09-12 11:34:05	ga_ls8c_ard_3-0-0_112078_2016-09-12_final
2016-09-12 11:34:29	ga_ls8c_ard_3-0-0_112079_2016-09-12_final
2016-10-14 11:32:11	ga_ls8c_ard_3-0-0_112073_2016-10-14_final
2016-10-14 11:32:35	ga_ls8c_ard_3-0-0_112074_2016-10-14_final
2016-10-14 11:32:59	ga_ls8c_ard_3-0-0_112075_2016-10-14_final
2016-10-14 11:33:23	ga_ls8c_ard_3-0-0_112076_2016-10-14_final
2016-10-14 11:33:47	ga_ls8c_ard_3-0-0_112077_2016-10-14_final
2016-10-14 11:34:11	ga_ls8c_ard_3-0-0_112078_2016-10-14_final
2016-10-14 11:34:35	ga_ls8c_ard_3-0-0_112079_2016-10-14_final
2016-10-25 11:18:28	ga_ls8c_ard_3-0-0_109085_2016-10-25_final
2016-11-22 11:37:59	ga_ls8c_ard_3-0-0_113072_2016-11-22_final
2016-11-22 11:38:23	ga_ls8c_ard_3-1-0_113073_2016-11-22_final
2016-11-22 11:38:47	ga_ls8c_ard_3-0-0_113074_2016-11-22_final
2016-12-10 11:27:59	ga_ls8c_ard_3-0-0_111078_2016-12-10_final
2016-12-10 11:28:23	ga_ls8c_ard_3-0-0_111079_2016-12-10_final
2016-12-10 11:28:47	ga_ls8c_ard_3-0-0_111080_2016-12-10_final
2016-12-10 11:29:11	ga_ls8c_ard_3-0-0_111081_2016-12-10_final
2016-12-10 11:29:35	ga_ls8c_ard_3-0-0_111082_2016-12-10_final
2016-12-10 11:29:59	ga_ls8c_ard_3-0-0_111083_2016-12-10_final
2016-12-12 11:18:24	ga_ls8c_ard_3-0-0_109085_2016-12-12_final
2016-12-28 11:18:21	ga_ls8c_ard_3-0-0_109085_2016-12-28_final
2021-05-12 11:37:12	ga_ls8c_ard_3-2-0_113072_2021-05-12_final
2021-05-12 11:37:36	ga_ls8c_ard_3-2-0_113073_2021-05-12_final
2021-05-12 11:38:00	ga_ls8c_ard_3-2-0_113074_2021-05-12_final
2021-07-01 11:27:35	ga_ls8c_ard_3-2-0_111078_2021-07-01_final
2021-07-01 11:27:59	ga_ls8c_ard_3-2-0_111079_2021-07-01_final
2021-07-01 11:28:22	ga_ls8c_ard_3-2-0_111080_2021-07-01_final
2021-07-01 11:28:46	ga_ls8c_ard_3-2-0_111081_2021-07-01_final
2021-07-01 11:29:10	ga_ls8c_ard_3-2-0_111082_2021-07-01_final
2021-07-01 11:29:34	ga_ls8c_ard_3-2-0_111083_2021-07-01_final
2021-07-03 11:18:01	ga_ls8c_ard_3-2-0_109085_2021-07-03_final
2021-07-06 11:41:44	ga_ls8c_ard_3-2-0_114067_2021-07-06_final
2021-07-15 11:37:33	ga_ls8c_ard_3-2-0_113072_2021-07-15_final
2021-07-15 11:37:57	ga_ls8c_ard_3-2-0_113073_2021-07-15_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