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
2015-07-19 11:10:30	ga_ls8c_ard_3-0-0_109067_2015-07-19_final
2015-07-19 11:10:54	ga_ls8c_ard_3-0-0_109068_2015-07-19_final
2015-07-19 11:11:18	ga_ls8c_ard_3-0-0_109069_2015-07-19_final
2015-07-19 11:11:42	ga_ls8c_ard_3-0-0_109070_2015-07-19_final
2015-07-19 11:12:06	ga_ls8c_ard_3-0-0_109071_2015-07-19_final
2015-07-19 11:12:30	ga_ls8c_ard_3-1-0_109072_2015-07-19_final
2015-07-21 11:01:45	ga_ls8c_ard_3-0-0_107076_2015-07-21_final
2015-07-21 11:02:09	ga_ls8c_ard_3-0-0_107077_2015-07-21_final
2015-07-21 11:02:32	ga_ls8c_ard_3-0-0_107078_2015-07-21_final
2015-07-21 11:02:56	ga_ls8c_ard_3-0-0_107079_2015-07-21_final
2015-07-21 11:03:20	ga_ls8c_ard_3-0-0_107080_2015-07-21_final
2015-07-21 11:03:44	ga_ls8c_ard_3-0-0_107081_2015-07-21_final
2015-08-20 11:10:41	ga_ls8c_ard_3-0-0_109067_2015-08-20_final
2015-08-20 11:11:05	ga_ls8c_ard_3-0-0_109068_2015-08-20_final
2015-08-20 11:11:29	ga_ls8c_ard_3-0-0_109069_2015-08-20_final
2015-08-20 11:11:53	ga_ls8c_ard_3-0-0_109070_2015-08-20_final
2015-08-20 11:12:17	ga_ls8c_ard_3-0-0_109071_2015-08-20_final
2015-08-20 11:12:41	ga_ls8c_ard_3-1-0_109072_2015-08-20_final
2015-08-22 11:01:55	ga_ls8c_ard_3-0-0_107076_2015-08-22_final
2015-08-22 11:02:19	ga_ls8c_ard_3-0-0_107077_2015-08-22_final
2015-08-22 11:02:43	ga_ls8c_ard_3-0-0_107078_2015-08-22_final
2015-08-22 11:03:07	ga_ls8c_ard_3-0-0_107079_2015-08-22_final
2015-08-22 11:03:31	ga_ls8c_ard_3-0-0_107080_2015-08-22_final
2015-08-22 11:03:55	ga_ls8c_ard_3-0-0_107081_2015-08-22_final
2015-09-21 11:10:54	ga_ls8c_ard_3-0-0_109067_2015-09-21_final
2015-09-21 11:11:18	ga_ls8c_ard_3-0-0_109068_2015-09-21_final
2015-09-21 11:11:42	ga_ls8c_ard_3-0-0_109069_2015-09-21_final
2015-09-21 11:12:06	ga_ls8c_ard_3-0-0_109070_2015-09-21_final
2015-09-21 11:12:30	ga_ls8c_ard_3-0-0_109071_2015-09-21_final
2015-09-21 11:12:54	ga_ls8c_ard_3-0-0_109072_2015-09-21_final
2015-09-23 11:02:09	ga_ls8c_ard_3-0-0_107076_2015-09-23_final
2015-09-23 11:02:33	ga_ls8c_ard_3-0-0_107077_2015-09-23_final
2015-09-23 11:02:57	ga_ls8c_ard_3-0-0_107078_2015-09-23_final
2015-09-23 11:03:21	ga_ls8c_ard_3-0-0_107079_2015-09-23_final
2015-09-23 11:03:45	ga_ls8c_ard_3-0-0_107080_2015-09-23_final
2015-09-23 11:04:08	ga_ls8c_ard_3-0-0_107081_2015-09-23_final
2015-11-26 11:02:19	ga_ls8c_ard_3-1-0_107076_2015-11-26_final
2015-11-26 11:02:43	ga_ls8c_ard_3-0-0_107077_2015-11-26_final
2015-11-26 11:03:07	ga_ls8c_ard_3-0-0_107078_2015-11-26_final
2015-11-26 11:03:31	ga_ls8c_ard_3-0-0_107079_2015-11-26_final
2015-11-26 11:03:55	ga_ls8c_ard_3-0-0_107080_2015-11-26_final
2015-11-26 11:04:19	ga_ls8c_ard_3-0-0_107081_2015-11-26_final
2019-03-01 11:06:26	ga_ls8c_ard_3-0-0_108072_2019-03-01_final
2019-03-03 10:57:15	ga_ls8c_ard_3-0-0_106080_2019-03-03_final
2019-03-03 10:57:39	ga_ls8c_ard_3-0-0_106081_2019-03-03_final
2019-03-03 10:58:03	ga_ls8c_ard_3-0-0_106082_2019-03-03_final
2019-03-03 10:58:27	ga_ls8c_ard_3-0-0_106083_2019-03-03_final
2019-03-03 10:58:51	ga_ls8c_ard_3-0-0_106084_2019-03-03_final
2019-04-11 11:01:39	ga_ls8c_ard_3-1-0_107076_2019-04-11_final
2019-04-11 11:02:03	ga_ls8c_ard_3-1-0_107077_2019-04-11_final
2019-04-11 11:02:27	ga_ls8c_ard_3-1-0_107078_2019-04-11_final
2019-04-11 11:02:51	ga_ls8c_ard_3-1-0_107079_2019-04-11_final
2019-04-11 11:03:15	ga_ls8c_ard_3-1-0_107080_2019-04-11_final
2019-04-11 11:03:39	ga_ls8c_ard_3-1-0_107081_2019-04-11_final
2019-04-16 11:16:34	ga_ls8c_ard_3-1-0_110067_2019-04-16_final
2019-04-18 11:05:47	ga_ls8c_ard_3-1-0_108071_2019-04-18_final
2019-04-18 11:06:11	ga_ls8c_ard_3-1-0_108072_2019-04-18_final
2019-04-18 11:06:35	ga_ls8c_ard_3-1-0_108073_2019-04-18_final
2019-04-18 11:06:59	ga_ls8c_ard_3-1-0_108074_2019-04-18_final
2019-04-18 11:07:23	ga_ls8c_ard_3-1-0_108075_2019-04-18_final
2019-04-18 11:07:47	ga_ls8c_ard_3-1-0_108076_2019-04-18_final
2019-04-18 11:08:11	ga_ls8c_ard_3-1-0_108077_2019-04-18_final
2019-04-20 10:57:00	ga_ls8c_ard_3-0-0_106080_2019-04-20_final
2019-04-20 10:57:24	ga_ls8c_ard_3-0-0_106081_2019-04-20_final
2019-04-20 10:57:48	ga_ls8c_ard_3-0-0_106082_2019-04-20_final
2019-04-20 10:58:12	ga_ls8c_ard_3-0-0_106083_2019-04-20_final
2019-04-20 10:58:36	ga_ls8c_ard_3-0-0_106084_2019-04-20_final
2019-06-14 11:01:59	ga_ls8c_ard_3-1-0_107076_2019-06-14_final
2019-06-14 11:02:23	ga_ls8c_ard_3-1-0_107077_2019-06-14_final
2019-06-14 11:02:47	ga_ls8c_ard_3-1-0_107078_2019-06-14_final
2019-06-14 11:03:11	ga_ls8c_ard_3-1-0_107079_2019-06-14_final
2019-06-14 11:03:35	ga_ls8c_ard_3-1-0_107080_2019-06-14_final
2019-06-14 11:03:59	ga_ls8c_ard_3-1-0_107081_2019-06-14_final
2019-09-23 11:17:26	ga_ls8c_ard_3-1-0_110067_2019-09-23_final
2019-09-25 11:06:41	ga_ls8c_ard_3-1-0_108071_2019-09-25_final
2019-09-25 11:07:04	ga_ls8c_ard_3-1-0_108072_2019-09-25_final
2019-09-25 11:07:28	ga_ls8c_ard_3-1-0_108073_2019-09-25_final
2019-09-25 11:07:52	ga_ls8c_ard_3-1-0_108074_2019-09-25_final
2019-09-25 11:08:16	ga_ls8c_ard_3-1-0_108075_2019-09-25_final
2019-09-25 11:08:40	ga_ls8c_ard_3-1-0_108076_2019-09-25_final
2019-09-25 11:09:04	ga_ls8c_ard_3-1-0_108077_2019-09-25_final
2019-10-27 11:06:45	ga_ls8c_ard_3-1-0_108071_2019-10-27_final
2019-10-27 11:07:08	ga_ls8c_ard_3-1-0_108072_2019-10-27_final
2019-10-27 11:07:32	ga_ls8c_ard_3-1-0_108073_2019-10-27_final
2019-10-27 11:07:56	ga_ls8c_ard_3-1-0_108074_2019-10-27_final
2019-10-27 11:08:20	ga_ls8c_ard_3-1-0_108075_2019-10-27_final
2019-10-27 11:08:44	ga_ls8c_ard_3-1-0_108076_2019-10-27_final
2019-10-27 11:09:08	ga_ls8c_ard_3-1-0_108077_2019-10-27_final
2019-10-29 10:57:58	ga_ls8c_ard_3-1-0_106080_2019-10-29_final
2019-10-29 10:58:22	ga_ls8c_ard_3-1-0_106081_2019-10-29_final
2019-10-29 10:58:46	ga_ls8c_ard_3-1-0_106082_2019-10-29_final
2019-10-29 10:59:10	ga_ls8c_ard_3-1-0_106083_2019-10-29_final
2019-10-29 10:59:34	ga_ls8c_ard_3-1-0_106084_2019-10-29_final
2019-11-10 11:17:29	ga_ls8c_ard_3-1-0_110067_2019-11-10_final
2019-11-12 11:06:42	ga_ls8c_ard_3-1-0_108071_2019-11-12_final
2019-11-12 11:07:06	ga_ls8c_ard_3-1-0_108072_2019-11-12_final
2019-11-12 11:07:30	ga_ls8c_ard_3-1-0_108073_2019-11-12_final
2019-11-12 11:07:54	ga_ls8c_ard_3-1-0_108074_2019-11-12_final
2019-11-12 11:08:18	ga_ls8c_ard_3-1-0_108075_2019-11-12_final
2019-11-12 11:08:42	ga_ls8c_ard_3-1-0_108076_2019-11-12_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