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
2015-07-03 11:10:21	ga_ls8c_ard_3-0-0_109067_2015-07-03_final
2015-07-03 11:10:45	ga_ls8c_ard_3-0-0_109068_2015-07-03_final
2015-07-03 11:11:09	ga_ls8c_ard_3-0-0_109069_2015-07-03_final
2015-07-03 11:11:33	ga_ls8c_ard_3-0-0_109070_2015-07-03_final
2015-07-03 11:11:57	ga_ls8c_ard_3-0-0_109071_2015-07-03_final
2015-07-03 11:12:21	ga_ls8c_ard_3-0-0_109072_2015-07-03_final
2015-07-05 11:01:36	ga_ls8c_ard_3-0-0_107076_2015-07-05_final
2015-07-05 11:02:00	ga_ls8c_ard_3-0-0_107077_2015-07-05_final
2015-07-05 11:02:24	ga_ls8c_ard_3-0-0_107078_2015-07-05_final
2015-07-05 11:02:48	ga_ls8c_ard_3-0-0_107079_2015-07-05_final
2015-07-05 11:03:12	ga_ls8c_ard_3-0-0_107080_2015-07-05_final
2015-07-05 11:03:36	ga_ls8c_ard_3-0-0_107081_2015-07-05_final
2015-08-04 11:10:33	ga_ls8c_ard_3-0-0_109067_2015-08-04_final
2015-08-04 11:10:57	ga_ls8c_ard_3-0-0_109068_2015-08-04_final
2015-08-04 11:11:21	ga_ls8c_ard_3-0-0_109069_2015-08-04_final
2015-08-04 11:11:45	ga_ls8c_ard_3-0-0_109070_2015-08-04_final
2015-08-04 11:12:09	ga_ls8c_ard_3-0-0_109071_2015-08-04_final
2015-08-04 11:12:33	ga_ls8c_ard_3-1-0_109072_2015-08-04_final
2015-08-06 11:01:47	ga_ls8c_ard_3-0-0_107076_2015-08-06_final
2015-08-06 11:02:11	ga_ls8c_ard_3-0-0_107077_2015-08-06_final
2015-08-06 11:02:35	ga_ls8c_ard_3-0-0_107078_2015-08-06_final
2015-08-06 11:02:59	ga_ls8c_ard_3-0-0_107079_2015-08-06_final
2015-08-06 11:03:23	ga_ls8c_ard_3-0-0_107080_2015-08-06_final
2015-08-06 11:03:47	ga_ls8c_ard_3-0-0_107081_2015-08-06_final
2015-08-06 11:04:11	ga_ls8c_ard_3-1-0_107082_2015-08-06_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
2015-11-24 11:11:05	ga_ls8c_ard_3-0-0_109067_2015-11-24_final
2015-11-24 11:11:29	ga_ls8c_ard_3-0-0_109068_2015-11-24_final
2015-11-24 11:11:53	ga_ls8c_ard_3-0-0_109069_2015-11-24_final
2015-11-24 11:12:17	ga_ls8c_ard_3-0-0_109070_2015-11-24_final
2015-11-24 11:12:41	ga_ls8c_ard_3-0-0_109071_2015-11-24_final
2015-11-24 11:13:05	ga_ls8c_ard_3-0-0_109072_2015-11-24_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
2015-11-26 11:04:43	ga_ls8c_ard_3-1-0_107082_2015-11-26_final
2016-03-31 11:10:35	ga_ls8c_ard_3-0-0_109067_2016-03-31_final
2016-03-31 11:10:59	ga_ls8c_ard_3-0-0_109068_2016-03-31_final
2016-03-31 11:11:23	ga_ls8c_ard_3-0-0_109069_2016-03-31_final
2016-03-31 11:11:47	ga_ls8c_ard_3-0-0_109070_2016-03-31_final
2016-03-31 11:12:11	ga_ls8c_ard_3-0-0_109071_2016-03-31_final
2016-03-31 11:12:35	ga_ls8c_ard_3-0-0_109072_2016-03-31_final
2016-04-11 10:57:11	ga_ls8c_ard_3-0-0_106080_2016-04-11_final
2016-04-11 10:57:35	ga_ls8c_ard_3-0-0_106081_2016-04-11_final
2016-04-11 10:57:59	ga_ls8c_ard_3-0-0_106082_2016-04-11_final
2016-04-11 10:58:23	ga_ls8c_ard_3-0-0_106083_2016-04-11_final
2016-04-11 10:58:47	ga_ls8c_ard_3-0-0_106084_2016-04-11_final
2016-04-27 10:57:07	ga_ls8c_ard_3-0-0_106080_2016-04-27_final
2016-04-27 10:57:31	ga_ls8c_ard_3-0-0_106081_2016-04-27_final
2016-04-27 10:57:55	ga_ls8c_ard_3-0-0_106082_2016-04-27_final
2016-04-27 10:58:19	ga_ls8c_ard_3-0-0_106083_2016-04-27_final
2016-04-27 10:58:43	ga_ls8c_ard_3-0-0_106084_2016-04-27_final
2016-06-30 10:57:25	ga_ls8c_ard_3-0-0_106080_2016-06-30_final
2016-06-30 10:57:49	ga_ls8c_ard_3-0-0_106081_2016-06-30_final
2016-08-29 11:17:17	ga_ls8c_ard_3-0-0_110067_2016-08-29_final
2016-08-29 11:17:41	ga_ls8c_ard_3-0-0_110068_2016-08-29_final
2016-08-31 11:06:56	ga_ls8c_ard_3-0-0_108072_2016-08-31_final
2016-08-31 11:07:19	ga_ls8c_ard_3-0-0_108073_2016-08-31_final
2016-08-31 11:07:43	ga_ls8c_ard_3-0-0_108074_2016-08-31_final
2016-08-31 11:08:07	ga_ls8c_ard_3-0-0_108075_2016-08-31_final
2016-08-31 11:08:31	ga_ls8c_ard_3-0-0_108076_2016-08-31_final
2016-08-31 11:08:55	ga_ls8c_ard_3-0-0_108077_2016-08-31_final
2016-09-18 10:57:49	ga_ls8c_ard_3-0-0_106080_2016-09-18_final
2016-09-18 10:58:13	ga_ls8c_ard_3-0-0_106081_2016-09-18_final
2016-09-18 10:58:37	ga_ls8c_ard_3-0-0_106082_2016-09-18_final
2016-09-18 10:59:01	ga_ls8c_ard_3-0-0_106083_2016-09-18_final
2016-09-18 10:59:25	ga_ls8c_ard_3-0-0_106084_2016-09-18_final
2019-07-16 11:02:06	ga_ls8c_ard_3-1-0_107076_2019-07-16_final
2019-07-16 11:02:30	ga_ls8c_ard_3-1-0_107077_2019-07-16_final
2019-07-16 11:02:54	ga_ls8c_ard_3-1-0_107078_2019-07-16_final
2019-07-16 11:03:18	ga_ls8c_ard_3-1-0_107079_2019-07-16_final
2019-07-16 11:03:42	ga_ls8c_ard_3-1-0_107080_2019-07-16_final
2019-07-16 11:04:06	ga_ls8c_ard_3-1-0_107081_2019-07-16_final
2019-07-16 11:04:30	ga_ls8c_ard_3-1-0_107082_2019-07-16_final
2019-11-19 11:11:16	ga_ls8c_ard_3-1-0_109067_2019-11-19_final
2019-11-19 11:11:40	ga_ls8c_ard_3-1-0_109068_2019-11-19_final
2019-11-19 11:12:04	ga_ls8c_ard_3-1-0_109069_2019-11-19_final
2019-11-19 11:12:27	ga_ls8c_ard_3-1-0_109070_2019-11-19_final
2019-11-19 11:12:51	ga_ls8c_ard_3-1-0_109071_2019-11-19_final
2019-11-19 11:13:15	ga_ls8c_ard_3-1-0_109072_2019-11-19_final
2019-11-21 11:02:29	ga_ls8c_ard_3-1-0_107076_2019-11-21_final
2019-11-21 11:02:53	ga_ls8c_ard_3-1-0_107077_2019-11-21_final
2019-11-21 11:03:17	ga_ls8c_ard_3-1-0_107078_2019-11-21_final
2019-11-21 11:03:41	ga_ls8c_ard_3-1-0_107079_2019-11-21_final
2019-11-21 11:04:05	ga_ls8c_ard_3-1-0_107080_2019-11-21_final
2019-11-21 11:04:28	ga_ls8c_ard_3-1-0_107081_2019-11-21_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