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
2015-01-17 11:10:21	ga_ls8c_ard_3-0-0_108081_2015-01-17_final
2015-01-17 11:10:45	ga_ls8c_ard_3-0-0_108082_2015-01-17_final
2015-01-17 11:11:09	ga_ls8c_ard_3-0-0_108083_2015-01-17_final
2015-01-17 11:11:33	ga_ls8c_ard_3-0-0_108084_2015-01-17_final
2015-01-22 11:23:39	ga_ls8c_ard_3-0-0_111068_2015-01-22_final
2015-01-22 11:24:03	ga_ls8c_ard_3-0-0_111069_2015-01-22_final
2015-01-22 11:24:27	ga_ls8c_ard_3-0-0_111070_2015-01-22_final
2015-01-22 11:24:51	ga_ls8c_ard_3-0-0_111071_2015-01-22_final
2015-01-22 11:25:15	ga_ls8c_ard_3-0-0_111072_2015-01-22_final
2015-01-22 11:25:39	ga_ls8c_ard_3-0-0_111073_2015-01-22_final
2015-01-22 11:26:03	ga_ls8c_ard_3-0-0_111074_2015-01-22_final
2015-01-31 11:19:27	ga_ls8c_ard_3-0-0_110073_2015-01-31_final
2015-01-31 11:19:51	ga_ls8c_ard_3-0-0_110074_2015-01-31_final
2015-01-31 11:20:15	ga_ls8c_ard_3-0-0_110075_2015-01-31_final
2015-01-31 11:20:39	ga_ls8c_ard_3-0-0_110076_2015-01-31_final
2015-01-31 11:21:03	ga_ls8c_ard_3-0-0_110077_2015-01-31_final
2015-01-31 11:21:27	ga_ls8c_ard_3-0-0_110078_2015-01-31_final
2015-02-02 11:10:17	ga_ls8c_ard_3-0-0_108081_2015-02-02_final
2015-02-02 11:10:41	ga_ls8c_ard_3-0-0_108082_2015-02-02_final
2015-02-02 11:11:05	ga_ls8c_ard_3-0-0_108083_2015-02-02_final
2015-02-02 11:11:29	ga_ls8c_ard_3-0-0_108084_2015-02-02_final
2015-04-12 11:23:04	ga_ls8c_ard_3-0-0_111068_2015-04-12_final
2015-04-12 11:23:28	ga_ls8c_ard_3-0-0_111069_2015-04-12_final
2015-04-12 11:23:52	ga_ls8c_ard_3-0-0_111070_2015-04-12_final
2015-04-12 11:24:16	ga_ls8c_ard_3-0-0_111071_2015-04-12_final
2015-04-12 11:24:40	ga_ls8c_ard_3-0-0_111072_2015-04-12_final
2015-04-12 11:25:04	ga_ls8c_ard_3-0-0_111073_2015-04-12_final
2015-04-12 11:25:28	ga_ls8c_ard_3-0-0_111074_2015-04-12_final
2015-05-14 11:22:42	ga_ls8c_ard_3-0-0_111068_2015-05-14_final
2015-05-14 11:23:06	ga_ls8c_ard_3-0-0_111069_2015-05-14_final
2015-05-14 11:23:30	ga_ls8c_ard_3-0-0_111070_2015-05-14_final
2015-05-14 11:23:54	ga_ls8c_ard_3-0-0_111071_2015-05-14_final
2015-05-14 11:24:18	ga_ls8c_ard_3-0-0_111072_2015-05-14_final
2015-05-14 11:24:42	ga_ls8c_ard_3-0-0_111073_2015-05-14_final
2015-05-14 11:25:06	ga_ls8c_ard_3-0-0_111074_2015-05-14_final
2015-05-23 11:18:34	ga_ls8c_ard_3-0-0_110073_2015-05-23_final
2015-05-23 11:18:58	ga_ls8c_ard_3-0-0_110074_2015-05-23_final
2015-05-23 11:19:22	ga_ls8c_ard_3-0-0_110075_2015-05-23_final
2015-05-23 11:19:46	ga_ls8c_ard_3-0-0_110076_2015-05-23_final
2015-05-23 11:20:10	ga_ls8c_ard_3-0-0_110077_2015-05-23_final
2015-05-23 11:20:33	ga_ls8c_ard_3-0-0_110078_2015-05-23_final
2015-05-25 11:09:24	ga_ls8c_ard_3-0-0_108081_2015-05-25_final
2015-05-25 11:09:48	ga_ls8c_ard_3-0-0_108082_2015-05-25_final
2015-05-25 11:10:12	ga_ls8c_ard_3-0-0_108083_2015-05-25_final
2015-05-25 11:10:36	ga_ls8c_ard_3-0-0_108084_2015-05-25_final
2015-05-25 11:11:00	ga_ls8c_ard_3-0-0_108085_2015-05-25_final
2016-01-20 11:10:25	ga_ls8c_ard_3-0-0_108081_2016-01-20_final
2016-01-20 11:10:49	ga_ls8c_ard_3-0-0_108082_2016-01-20_final
2016-01-20 11:11:13	ga_ls8c_ard_3-0-0_108083_2016-01-20_final
2016-01-20 11:11:37	ga_ls8c_ard_3-0-0_108084_2016-01-20_final
2016-01-20 11:12:01	ga_ls8c_ard_3-0-0_108085_2016-01-20_final
2016-03-04 11:29:22	ga_ls8c_ard_3-0-0_112067_2016-03-04_final
2016-03-04 11:29:46	ga_ls8c_ard_3-0-0_112068_2016-03-04_final
2016-03-04 11:30:10	ga_ls8c_ard_3-0-0_112069_2016-03-04_final
2016-04-18 11:05:19	ga_ls8c_ard_3-0-0_107085_2016-04-18_final
2016-04-21 11:29:01	ga_ls8c_ard_3-0-0_112067_2016-04-21_final
2016-04-21 11:29:25	ga_ls8c_ard_3-0-0_112068_2016-04-21_final
2016-04-21 11:29:49	ga_ls8c_ard_3-0-0_112069_2016-04-21_final
2016-05-07 11:29:04	ga_ls8c_ard_3-0-0_112067_2016-05-07_final
2016-05-07 11:29:28	ga_ls8c_ard_3-0-0_112068_2016-05-07_final
2016-05-07 11:29:52	ga_ls8c_ard_3-0-0_112069_2016-05-07_final
2017-09-01 11:19:37	ga_ls8c_ard_3-0-0_110073_2017-09-01_final
2017-09-01 11:20:01	ga_ls8c_ard_3-0-0_110074_2017-09-01_final
2017-09-01 11:20:24	ga_ls8c_ard_3-0-0_110075_2017-09-01_final
2017-09-03 11:10:27	ga_ls8c_ard_3-0-0_108081_2017-09-03_final
2017-09-03 11:10:51	ga_ls8c_ard_3-0-0_108082_2017-09-03_final
2017-09-03 11:11:15	ga_ls8c_ard_3-0-0_108083_2017-09-03_final
2017-09-03 11:11:39	ga_ls8c_ard_3-0-0_108084_2017-09-03_final
2017-09-03 11:12:03	ga_ls8c_ard_3-0-0_108085_2017-09-03_final
2017-09-12 11:05:52	ga_ls8c_ard_3-0-0_107085_2017-09-12_final
2017-09-17 11:19:38	ga_ls8c_ard_3-0-0_110073_2017-09-17_final
2017-09-17 11:20:02	ga_ls8c_ard_3-0-0_110074_2017-09-17_final
2017-09-17 11:20:26	ga_ls8c_ard_3-0-0_110075_2017-09-17_final
2017-09-17 11:20:50	ga_ls8c_ard_3-0-0_110076_2017-09-17_final
2017-09-17 11:21:14	ga_ls8c_ard_3-0-0_110077_2017-09-17_final
2017-09-17 11:21:38	ga_ls8c_ard_3-0-0_110078_2017-09-17_final
2017-09-19 11:10:29	ga_ls8c_ard_3-0-0_108081_2017-09-19_final
2017-09-19 11:10:53	ga_ls8c_ard_3-0-0_108082_2017-09-19_final
2017-09-19 11:11:17	ga_ls8c_ard_3-0-0_108083_2017-09-19_final
2017-09-19 11:11:41	ga_ls8c_ard_3-0-0_108084_2017-09-19_final
2017-09-19 11:12:05	ga_ls8c_ard_3-0-0_108085_2017-09-19_final
2020-01-04 11:23:54	ga_ls8c_ard_3-1-0_111068_2020-01-04_final
2020-01-04 11:24:18	ga_ls8c_ard_3-1-0_111069_2020-01-04_final
2020-01-04 11:24:42	ga_ls8c_ard_3-1-0_111070_2020-01-04_final
2020-01-04 11:25:06	ga_ls8c_ard_3-1-0_111071_2020-01-04_final
2020-01-04 11:25:30	ga_ls8c_ard_3-1-0_111072_2020-01-04_final
2020-01-04 11:25:54	ga_ls8c_ard_3-1-0_111073_2020-01-04_final
2020-01-04 11:26:18	ga_ls8c_ard_3-1-0_111074_2020-01-04_final
2020-01-13 11:19:41	ga_ls8c_ard_3-1-0_110073_2020-01-13_final
2020-01-13 11:20:05	ga_ls8c_ard_3-1-0_110074_2020-01-13_final
2020-01-13 11:20:29	ga_ls8c_ard_3-1-0_110075_2020-01-13_final
2020-01-13 11:20:53	ga_ls8c_ard_3-1-0_110076_2020-01-13_final
2020-01-13 11:21:17	ga_ls8c_ard_3-1-0_110077_2020-01-13_final
2020-01-13 11:21:41	ga_ls8c_ard_3-1-0_110078_2020-01-13_final
2020-01-13 11:22:05	ga_ls8c_ard_3-1-0_110079_2020-01-13_final
2020-05-20 11:18:56	ga_ls8c_ard_3-1-0_110073_2020-05-20_final
2020-05-20 11:19:20	ga_ls8c_ard_3-1-0_110074_2020-05-20_final
2020-05-20 11:19:44	ga_ls8c_ard_3-1-0_110075_2020-05-20_final
2020-05-20 11:20:08	ga_ls8c_ard_3-1-0_110076_2020-05-20_final
2020-05-20 11:20:32	ga_ls8c_ard_3-1-0_110077_2020-05-20_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