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
2015-02-18 11:04:58	ga_ls8c_ard_3-0-0_108068_2015-02-18_final
2015-02-18 11:05:22	ga_ls8c_ard_3-0-0_108069_2015-02-18_final
2015-02-18 11:05:46	ga_ls8c_ard_3-0-0_108070_2015-02-18_final
2015-02-18 11:06:10	ga_ls8c_ard_3-0-0_108071_2015-02-18_final
2015-02-18 11:06:33	ga_ls8c_ard_3-0-0_108072_2015-02-18_final
2015-02-18 11:06:57	ga_ls8c_ard_3-0-0_108073_2015-02-18_final
2015-02-18 11:07:21	ga_ls8c_ard_3-0-0_108074_2015-02-18_final
2015-02-20 10:56:12	ga_ls8c_ard_3-0-0_106077_2015-02-20_final
2015-02-20 10:56:36	ga_ls8c_ard_3-0-0_106078_2015-02-20_final
2015-02-20 10:56:59	ga_ls8c_ard_3-0-0_106079_2015-02-20_final
2015-02-20 10:57:23	ga_ls8c_ard_3-0-0_106080_2015-02-20_final
2015-02-20 10:57:47	ga_ls8c_ard_3-0-0_106081_2015-02-20_final
2015-02-20 10:58:11	ga_ls8c_ard_3-0-0_106082_2015-02-20_final
2015-02-20 10:58:35	ga_ls8c_ard_3-0-0_106083_2015-02-20_final
2015-03-01 10:51:34	ga_ls8c_ard_3-0-0_105081_2015-03-01_final
2015-03-01 10:51:58	ga_ls8c_ard_3-0-0_105082_2015-03-01_final
2015-03-01 10:52:22	ga_ls8c_ard_3-0-0_105083_2015-03-01_final
2017-03-22 10:51:50	ga_ls8c_ard_3-0-0_105082_2017-03-22_final
2017-03-22 10:52:14	ga_ls8c_ard_3-0-0_105083_2017-03-22_final
2017-04-28 11:04:28	ga_ls8c_ard_3-0-0_108068_2017-04-28_final
2017-04-28 11:04:51	ga_ls8c_ard_3-0-0_108069_2017-04-28_final
2017-04-28 11:05:15	ga_ls8c_ard_3-0-0_108070_2017-04-28_final
2017-04-28 11:05:39	ga_ls8c_ard_3-0-0_108071_2017-04-28_final
2017-04-28 11:06:03	ga_ls8c_ard_3-0-0_108072_2017-04-28_final
2017-04-28 11:06:27	ga_ls8c_ard_3-0-0_108073_2017-04-28_final
2017-04-28 11:06:51	ga_ls8c_ard_3-1-0_108074_2017-04-28_final
2017-07-17 11:04:59	ga_ls8c_ard_3-0-0_108068_2017-07-17_final
2017-07-17 11:05:23	ga_ls8c_ard_3-0-0_108069_2017-07-17_final
2017-07-17 11:05:47	ga_ls8c_ard_3-0-0_108070_2017-07-17_final
2017-07-17 11:06:11	ga_ls8c_ard_3-0-0_108071_2017-07-17_final
2017-07-17 11:06:35	ga_ls8c_ard_3-0-0_108072_2017-07-17_final
2017-07-17 11:06:59	ga_ls8c_ard_3-0-0_108073_2017-07-17_final
2017-07-17 11:07:23	ga_ls8c_ard_3-0-0_108074_2017-07-17_final
2017-07-19 10:56:14	ga_ls8c_ard_3-0-0_106077_2017-07-19_final
2017-07-19 10:56:38	ga_ls8c_ard_3-0-0_106078_2017-07-19_final
2017-07-19 10:57:02	ga_ls8c_ard_3-0-0_106079_2017-07-19_final
2017-07-19 10:57:26	ga_ls8c_ard_3-0-0_106080_2017-07-19_final
2017-07-19 10:57:50	ga_ls8c_ard_3-0-0_106081_2017-07-19_final
2017-07-19 10:58:14	ga_ls8c_ard_3-0-0_106082_2017-07-19_final
2017-07-19 10:58:38	ga_ls8c_ard_3-0-0_106083_2017-07-19_final
2017-07-28 10:51:44	ga_ls8c_ard_3-0-0_105081_2017-07-28_final
2017-07-28 10:52:08	ga_ls8c_ard_3-0-0_105082_2017-07-28_final
2017-07-28 10:52:32	ga_ls8c_ard_3-0-0_105083_2017-07-28_final
2017-08-09 11:10:57	ga_ls8c_ard_3-0-0_109067_2017-08-09_final
2017-08-09 11:11:21	ga_ls8c_ard_3-0-0_109068_2017-08-09_final
2017-08-09 11:11:45	ga_ls8c_ard_3-0-0_109069_2017-08-09_final
2017-08-11 11:00:59	ga_ls8c_ard_3-0-0_107073_2017-08-11_final
2017-08-11 11:01:23	ga_ls8c_ard_3-0-0_107074_2017-08-11_final
2017-08-11 11:01:47	ga_ls8c_ard_3-0-0_107075_2017-08-11_final
2017-08-11 11:02:11	ga_ls8c_ard_3-0-0_107076_2017-08-11_final
2017-08-11 11:02:35	ga_ls8c_ard_3-0-0_107077_2017-08-11_final
2017-08-11 11:02:59	ga_ls8c_ard_3-0-0_107078_2017-08-11_final
2017-08-18 11:05:13	ga_ls8c_ard_3-0-0_108068_2017-08-18_final
2017-08-18 11:05:37	ga_ls8c_ard_3-0-0_108069_2017-08-18_final
2017-08-18 11:06:01	ga_ls8c_ard_3-0-0_108070_2017-08-18_final
2017-08-18 11:06:24	ga_ls8c_ard_3-0-0_108071_2017-08-18_final
2017-08-18 11:06:48	ga_ls8c_ard_3-0-0_108072_2017-08-18_final
2017-08-18 11:07:12	ga_ls8c_ard_3-0-0_108073_2017-08-18_final
2017-08-18 11:07:36	ga_ls8c_ard_3-0-0_108074_2017-08-18_final
2017-08-25 11:11:01	ga_ls8c_ard_3-0-0_109067_2017-08-25_final
2017-08-25 11:11:25	ga_ls8c_ard_3-0-0_109068_2017-08-25_final
2017-08-25 11:11:49	ga_ls8c_ard_3-0-0_109069_2017-08-25_final
2017-08-27 11:01:03	ga_ls8c_ard_3-0-0_107073_2017-08-27_final
2017-08-27 11:01:27	ga_ls8c_ard_3-0-0_107074_2017-08-27_final
2017-08-27 11:01:51	ga_ls8c_ard_3-0-0_107075_2017-08-27_final
2017-08-27 11:02:15	ga_ls8c_ard_3-0-0_107076_2017-08-27_final
2017-08-27 11:02:39	ga_ls8c_ard_3-0-0_107077_2017-08-27_final
2017-08-27 11:03:03	ga_ls8c_ard_3-0-0_107078_2017-08-27_final
2023-03-14 10:56:21	ga_ls8c_ard_3-2-1_106077_2023-03-14_final
2023-03-14 10:57:57	ga_ls8c_ard_3-2-1_106081_2023-03-14_final
2023-03-14 10:58:45	ga_ls8c_ard_3-2-1_106083_2023-03-14_final
2023-03-23 10:51:38	ga_ls8c_ard_3-2-1_105081_2023-03-23_final
2023-03-23 10:52:02	ga_ls8c_ard_3-2-1_105082_2023-03-23_final
2023-03-23 10:52:26	ga_ls8c_ard_3-2-1_105083_2023-03-23_final
2023-03-28 11:05:22	ga_ls8c_ard_3-2-1_108069_2023-03-28_final
2023-03-28 11:05:46	ga_ls8c_ard_3-2-1_108070_2023-03-28_final
2023-03-28 11:06:10	ga_ls8c_ard_3-2-1_108071_2023-03-28_final
2023-03-28 11:06:34	ga_ls8c_ard_3-2-1_108072_2023-03-28_final
2023-03-28 11:06:58	ga_ls8c_ard_3-2-1_108073_2023-03-28_final
2023-03-28 11:07:22	ga_ls8c_ard_3-2-1_108074_2023-03-28_final
2023-03-30 10:56:11	ga_ls8c_ard_3-2-1_106077_2023-03-30_final
2023-03-30 10:56:35	ga_ls8c_ard_3-2-1_106078_2023-03-30_final
2023-03-30 10:56:59	ga_ls8c_ard_3-2-1_106079_2023-03-30_final
2023-03-30 10:57:23	ga_ls8c_ard_3-2-1_106080_2023-03-30_final
2023-03-30 10:57:47	ga_ls8c_ard_3-2-1_106081_2023-03-30_final
2023-03-30 10:58:11	ga_ls8c_ard_3-2-1_106082_2023-03-30_final
2023-03-30 10:58:34	ga_ls8c_ard_3-2-1_106083_2023-03-30_final
2023-04-04 11:11:27	ga_ls8c_ard_3-2-1_109069_2023-04-04_final
2023-04-24 10:51:19	ga_ls8c_ard_3-2-1_105081_2023-04-24_final
2023-04-24 10:51:43	ga_ls8c_ard_3-2-1_105082_2023-04-24_final
2023-04-24 10:52:07	ga_ls8c_ard_3-2-1_105083_2023-04-24_final
2023-09-06 10:56:21	ga_ls8c_ard_3-2-1_106077_2023-09-06_final
2023-09-06 10:56:44	ga_ls8c_ard_3-2-1_106078_2023-09-06_final
2023-09-06 10:57:08	ga_ls8c_ard_3-2-1_106079_2023-09-06_final
2023-09-06 10:57:32	ga_ls8c_ard_3-2-1_106080_2023-09-06_final
2023-09-06 10:57:56	ga_ls8c_ard_3-2-1_106081_2023-09-06_final
2023-09-06 10:58:20	ga_ls8c_ard_3-2-1_106082_2023-09-06_final
2023-09-06 10:58:44	ga_ls8c_ard_3-2-1_106083_2023-09-06_final
2023-09-15 10:51:51	ga_ls8c_ard_3-2-1_105081_2023-09-15_final
2023-09-15 10:52:15	ga_ls8c_ard_3-2-1_105082_2023-09-15_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