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
2014-06-30 11:11:29	ga_ls8c_ard_3-0-0_109069_2014-06-30_final
2014-06-30 11:11:53	ga_ls8c_ard_3-0-0_109070_2014-06-30_final
2014-06-30 11:12:17	ga_ls8c_ard_3-0-0_109071_2014-06-30_final
2014-06-30 11:12:41	ga_ls8c_ard_3-0-0_109072_2014-06-30_final
2014-06-30 11:13:05	ga_ls8c_ard_3-0-0_109073_2014-06-30_final
2014-06-30 11:13:29	ga_ls8c_ard_3-0-0_109074_2014-06-30_final
2014-07-02 11:02:44	ga_ls8c_ard_3-0-0_107078_2014-07-02_final
2014-07-02 11:03:08	ga_ls8c_ard_3-0-0_107079_2014-07-02_final
2014-07-02 11:03:32	ga_ls8c_ard_3-0-0_107080_2014-07-02_final
2014-07-02 11:03:56	ga_ls8c_ard_3-0-0_107081_2014-07-02_final
2014-07-02 11:04:20	ga_ls8c_ard_3-1-0_107082_2014-07-02_final
2014-07-02 11:04:44	ga_ls8c_ard_3-0-0_107083_2014-07-02_final
2014-09-11 11:07:17	ga_ls8c_ard_3-0-0_108073_2014-09-11_final
2014-09-11 11:07:41	ga_ls8c_ard_3-0-0_108074_2014-09-11_final
2014-09-11 11:08:05	ga_ls8c_ard_3-0-0_108075_2014-09-11_final
2014-09-11 11:08:29	ga_ls8c_ard_3-0-0_108076_2014-09-11_final
2014-09-11 11:08:53	ga_ls8c_ard_3-0-0_108077_2014-09-11_final
2014-09-11 11:09:17	ga_ls8c_ard_3-0-0_108078_2014-09-11_final
2014-09-11 11:09:41	ga_ls8c_ard_3-0-0_108079_2014-09-11_final
2014-09-13 10:58:31	ga_ls8c_ard_3-0-0_106082_2014-09-13_final
2014-09-13 10:58:55	ga_ls8c_ard_3-0-0_106083_2014-09-13_final
2014-10-11 11:17:19	ga_ls8c_ard_3-0-0_110067_2014-10-11_final
2014-10-11 11:17:43	ga_ls8c_ard_3-0-0_110068_2014-10-11_final
2014-10-11 11:18:07	ga_ls8c_ard_3-0-0_110069_2014-10-11_final
2014-10-11 11:18:31	ga_ls8c_ard_3-0-0_110070_2014-10-11_final
2014-12-16 11:07:39	ga_ls8c_ard_3-0-0_108074_2014-12-16_final
2014-12-16 11:08:03	ga_ls8c_ard_3-0-0_108075_2014-12-16_final
2014-12-16 11:08:27	ga_ls8c_ard_3-0-0_108076_2014-12-16_final
2014-12-16 11:08:51	ga_ls8c_ard_3-0-0_108077_2014-12-16_final
2014-12-16 11:09:15	ga_ls8c_ard_3-0-0_108078_2014-12-16_final
2014-12-16 11:09:39	ga_ls8c_ard_3-0-0_108079_2014-12-16_final
2014-12-18 10:58:30	ga_ls8c_ard_3-0-0_106082_2014-12-18_final
2014-12-18 10:58:54	ga_ls8c_ard_3-0-0_106083_2014-12-18_final
2017-07-08 11:11:32	ga_ls8c_ard_3-0-0_109069_2017-07-08_final
2017-07-08 11:11:56	ga_ls8c_ard_3-0-0_109070_2017-07-08_final
2017-07-08 11:12:19	ga_ls8c_ard_3-0-0_109071_2017-07-08_final
2017-07-08 11:12:43	ga_ls8c_ard_3-0-0_109072_2017-07-08_final
2017-07-08 11:13:07	ga_ls8c_ard_3-0-0_109073_2017-07-08_final
2017-07-08 11:13:31	ga_ls8c_ard_3-0-0_109074_2017-07-08_final
2017-07-15 11:16:56	ga_ls8c_ard_3-0-0_110067_2017-07-15_final
2017-07-15 11:17:20	ga_ls8c_ard_3-0-0_110068_2017-07-15_final
2017-07-15 11:17:44	ga_ls8c_ard_3-0-0_110069_2017-07-15_final
2017-07-15 11:18:08	ga_ls8c_ard_3-0-0_110070_2017-07-15_final
2018-03-07 11:02:36	ga_ls8c_ard_3-0-0_107078_2018-03-07_final
2018-04-22 11:10:59	ga_ls8c_ard_3-0-0_109069_2018-04-22_final
2018-04-22 11:11:22	ga_ls8c_ard_3-0-0_109070_2018-04-22_final
2018-04-22 11:11:46	ga_ls8c_ard_3-0-0_109071_2018-04-22_final
2018-04-22 11:12:10	ga_ls8c_ard_3-0-0_109072_2018-04-22_final
2018-04-22 11:12:34	ga_ls8c_ard_3-0-0_109073_2018-04-22_final
2018-04-22 11:12:58	ga_ls8c_ard_3-0-0_109074_2018-04-22_final
2018-04-24 11:02:11	ga_ls8c_ard_3-0-0_107078_2018-04-24_final
2018-04-24 11:02:35	ga_ls8c_ard_3-0-0_107079_2018-04-24_final
2018-04-24 11:02:59	ga_ls8c_ard_3-0-0_107080_2018-04-24_final
2018-04-24 11:03:23	ga_ls8c_ard_3-0-0_107081_2018-04-24_final
2018-04-24 11:03:47	ga_ls8c_ard_3-1-0_107082_2018-04-24_final
2018-04-24 11:04:11	ga_ls8c_ard_3-0-0_107083_2018-04-24_final
2018-06-25 11:10:44	ga_ls8c_ard_3-0-0_109069_2018-06-25_final
2018-06-25 11:11:08	ga_ls8c_ard_3-0-0_109070_2018-06-25_final
2018-06-25 11:11:32	ga_ls8c_ard_3-0-0_109071_2018-06-25_final
2018-06-25 11:11:55	ga_ls8c_ard_3-0-0_109072_2018-06-25_final
2018-06-25 11:12:19	ga_ls8c_ard_3-0-0_109073_2018-06-25_final
2018-06-25 11:12:43	ga_ls8c_ard_3-0-0_109074_2018-06-25_final
2018-06-27 11:01:59	ga_ls8c_ard_3-0-0_107078_2018-06-27_final
2018-06-27 11:02:23	ga_ls8c_ard_3-0-0_107079_2018-06-27_final
2018-06-27 11:02:47	ga_ls8c_ard_3-0-0_107080_2018-06-27_final
2018-06-27 11:03:10	ga_ls8c_ard_3-0-0_107081_2018-06-27_final
2018-06-27 11:03:34	ga_ls8c_ard_3-1-0_107082_2018-06-27_final
2018-06-27 11:03:58	ga_ls8c_ard_3-0-0_107083_2018-06-27_final
2018-07-20 11:06:45	ga_ls8c_ard_3-0-0_108074_2018-07-20_final
2018-07-20 11:07:09	ga_ls8c_ard_3-0-0_108075_2018-07-20_final
2018-07-20 11:07:33	ga_ls8c_ard_3-0-0_108076_2018-07-20_final
2018-07-20 11:07:56	ga_ls8c_ard_3-0-0_108077_2018-07-20_final
2018-07-20 11:08:20	ga_ls8c_ard_3-0-0_108078_2018-07-20_final
2018-07-20 11:08:44	ga_ls8c_ard_3-0-0_108079_2018-07-20_final
2018-07-22 10:57:35	ga_ls8c_ard_3-0-0_106082_2018-07-22_final
2018-07-22 10:57:59	ga_ls8c_ard_3-0-0_106083_2018-07-22_final
2018-07-22 10:58:23	ga_ls8c_ard_3-0-0_106084_2018-07-22_final
2023-02-26 10:58:26	ga_ls8c_ard_3-2-1_106082_2023-02-26_final
2023-02-26 10:58:50	ga_ls8c_ard_3-2-1_106083_2023-02-26_final
2023-03-19 11:11:39	ga_ls8c_ard_3-2-1_109069_2023-03-19_final
2023-03-19 11:12:03	ga_ls8c_ard_3-2-1_109070_2023-03-19_final
2023-03-19 11:12:27	ga_ls8c_ard_3-2-1_109071_2023-03-19_final
2023-03-19 11:12:50	ga_ls8c_ard_3-2-1_109072_2023-03-19_final
2023-03-19 11:13:14	ga_ls8c_ard_3-2-1_109073_2023-03-19_final
2023-03-19 11:13:38	ga_ls8c_ard_3-2-1_109074_2023-03-19_final
2023-10-13 11:11:54	ga_ls8c_ard_3-2-1_109069_2023-10-13_final
2023-10-13 11:12:18	ga_ls8c_ard_3-2-1_109070_2023-10-13_final
2023-10-13 11:12:42	ga_ls8c_ard_3-2-1_109071_2023-10-13_final
2023-10-13 11:13:06	ga_ls8c_ard_3-2-1_109072_2023-10-13_final
2023-10-15 11:03:07	ga_ls8c_ard_3-2-1_107078_2023-10-15_final
2023-10-15 11:03:07	ga_ls8c_ard_3-2-1_107078_2023-10-15_nrt
2023-10-15 11:03:31	ga_ls8c_ard_3-2-1_107079_2023-10-15_final
2023-10-15 11:03:31	ga_ls8c_ard_3-2-1_107079_2023-10-15_nrt
2023-10-15 11:03:55	ga_ls8c_ard_3-2-1_107080_2023-10-15_final
2023-10-15 11:03:55	ga_ls8c_ard_3-2-1_107080_2023-10-15_nrt
2023-10-15 11:04:19	ga_ls8c_ard_3-2-1_107081_2023-10-15_final
2023-10-15 11:04:19	ga_ls8c_ard_3-2-1_107081_2023-10-15_nrt
2023-10-15 11:04:43	ga_ls8c_ard_3-2-1_107082_2023-10-15_final
2023-10-15 11:04:43	ga_ls8c_ard_3-2-1_107082_2023-10-15_nrt
2023-10-15 11:05:07	ga_ls8c_ard_3-2-1_107083_2023-10-15_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