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
2014-02-08 11:01:55	ga_ls8c_ard_3-0-0_107073_2014-02-08_final
2014-02-08 11:03:31	ga_ls8c_ard_3-0-0_107077_2014-02-08_final
2014-02-08 11:03:55	ga_ls8c_ard_3-0-0_107078_2014-02-08_final
2014-02-08 11:04:19	ga_ls8c_ard_3-0-0_107079_2014-02-08_final
2014-02-10 10:53:07	ga_ls8c_ard_3-0-0_105082_2014-02-10_final
2014-05-13 11:10:54	ga_ls8c_ard_3-0-0_109068_2014-05-13_final
2014-05-13 11:11:18	ga_ls8c_ard_3-0-0_109069_2014-05-13_final
2014-05-15 11:00:31	ga_ls8c_ard_3-0-0_107073_2014-05-15_final
2014-05-15 11:00:55	ga_ls8c_ard_3-0-0_107074_2014-05-15_final
2014-05-15 11:01:19	ga_ls8c_ard_3-0-0_107075_2014-05-15_final
2014-05-15 11:01:43	ga_ls8c_ard_3-0-0_107076_2014-05-15_final
2014-05-15 11:02:07	ga_ls8c_ard_3-0-0_107077_2014-05-15_final
2014-05-15 11:02:31	ga_ls8c_ard_3-0-0_107078_2014-05-15_final
2014-05-15 11:02:55	ga_ls8c_ard_3-0-0_107079_2014-05-15_final
2014-05-17 10:51:19	ga_ls8c_ard_3-0-0_105081_2014-05-17_final
2014-05-17 10:51:43	ga_ls8c_ard_3-0-0_105082_2014-05-17_final
2020-06-02 10:51:18	ga_ls8c_ard_3-1-0_105081_2020-06-02_final
2020-06-02 10:51:42	ga_ls8c_ard_3-1-0_105082_2020-06-02_final
2020-06-02 10:52:06	ga_ls8c_ard_3-1-0_105083_2020-06-02_final
2020-06-18 10:51:28	ga_ls8c_ard_3-1-0_105081_2020-06-18_final
2020-06-18 10:51:52	ga_ls8c_ard_3-1-0_105082_2020-06-18_final
2020-06-18 10:52:16	ga_ls8c_ard_3-1-0_105083_2020-06-18_final
2020-07-25 11:05:04	ga_ls8c_ard_3-1-0_108068_2020-07-25_final
2020-07-25 11:05:28	ga_ls8c_ard_3-1-0_108069_2020-07-25_final
2020-07-25 11:05:52	ga_ls8c_ard_3-1-0_108070_2020-07-25_final
2020-07-25 11:06:16	ga_ls8c_ard_3-1-0_108071_2020-07-25_final
2020-07-25 11:06:40	ga_ls8c_ard_3-1-0_108072_2020-07-25_final
2020-07-25 11:07:04	ga_ls8c_ard_3-1-0_108073_2020-07-25_final
2020-07-25 11:07:28	ga_ls8c_ard_3-1-0_108074_2020-07-25_final
2020-08-01 11:10:53	ga_ls8c_ard_3-1-0_109067_2020-08-01_final
2020-08-01 11:11:17	ga_ls8c_ard_3-1-0_109068_2020-08-01_final
2020-08-01 11:11:41	ga_ls8c_ard_3-1-0_109069_2020-08-01_final
2020-08-03 11:00:55	ga_ls8c_ard_3-1-0_107073_2020-08-03_final
2020-08-03 11:01:19	ga_ls8c_ard_3-1-0_107074_2020-08-03_final
2020-08-03 11:01:43	ga_ls8c_ard_3-1-0_107075_2020-08-03_final
2020-08-03 11:02:07	ga_ls8c_ard_3-1-0_107076_2020-08-03_final
2020-08-03 11:02:31	ga_ls8c_ard_3-1-0_107077_2020-08-03_final
2020-08-03 11:02:55	ga_ls8c_ard_3-1-0_107078_2020-08-03_final
2020-08-03 11:03:19	ga_ls8c_ard_3-1-0_107079_2020-08-03_final
2020-08-12 10:56:22	ga_ls8c_ard_3-1-0_106077_2020-08-12_final
2020-08-12 10:56:46	ga_ls8c_ard_3-1-0_106078_2020-08-12_final
2020-08-12 10:57:09	ga_ls8c_ard_3-1-0_106079_2020-08-12_final
2020-08-12 10:57:33	ga_ls8c_ard_3-1-0_106080_2020-08-12_final
2020-08-12 10:57:57	ga_ls8c_ard_3-1-0_106081_2020-08-12_final
2020-08-12 10:58:21	ga_ls8c_ard_3-1-0_106082_2020-08-12_final
2020-08-12 10:58:45	ga_ls8c_ard_3-1-0_106083_2020-08-12_final
2020-08-28 10:56:30	ga_ls8c_ard_3-1-0_106077_2020-08-28_final
2020-08-28 10:56:54	ga_ls8c_ard_3-1-0_106078_2020-08-28_final
2020-08-28 10:57:18	ga_ls8c_ard_3-1-0_106079_2020-08-28_final
2020-08-28 10:57:42	ga_ls8c_ard_3-1-0_106080_2020-08-28_final
2020-08-28 10:58:06	ga_ls8c_ard_3-1-0_106081_2020-08-28_final
2020-08-28 10:58:30	ga_ls8c_ard_3-1-0_106082_2020-08-28_final
2020-08-28 10:58:54	ga_ls8c_ard_3-1-0_106083_2020-08-28_final
2020-10-20 11:11:16	ga_ls8c_ard_3-1-0_109067_2020-10-20_final
2020-10-20 11:11:40	ga_ls8c_ard_3-1-0_109068_2020-10-20_final
2020-10-20 11:12:04	ga_ls8c_ard_3-1-0_109069_2020-10-20_final
2020-10-22 11:01:18	ga_ls8c_ard_3-1-0_107073_2020-10-22_final
2021-10-16 11:05:34	ga_ls8c_ard_3-2-0_108068_2021-10-16_final
2021-10-16 11:05:58	ga_ls8c_ard_3-2-0_108069_2021-10-16_final
2021-10-16 11:06:22	ga_ls8c_ard_3-2-0_108070_2021-10-16_final
2021-10-16 11:06:46	ga_ls8c_ard_3-2-0_108071_2021-10-16_final
2021-10-16 11:07:10	ga_ls8c_ard_3-2-0_108072_2021-10-16_final
2021-10-16 11:07:34	ga_ls8c_ard_3-2-0_108073_2021-10-16_final
2021-10-16 11:07:58	ga_ls8c_ard_3-2-0_108074_2021-10-16_final
2021-10-25 11:01:24	ga_ls8c_ard_3-2-0_107073_2021-10-25_final
2021-10-25 11:01:48	ga_ls8c_ard_3-2-0_107074_2021-10-25_final
2021-10-25 11:02:12	ga_ls8c_ard_3-2-0_107075_2021-10-25_final
2021-10-25 11:02:36	ga_ls8c_ard_3-2-0_107076_2021-10-25_final
2021-10-25 11:03:00	ga_ls8c_ard_3-2-0_107077_2021-10-25_final
2021-10-25 11:03:24	ga_ls8c_ard_3-2-0_107078_2021-10-25_final
2021-10-25 11:03:48	ga_ls8c_ard_3-2-0_107079_2021-10-25_final
2021-10-27 10:52:14	ga_ls8c_ard_3-2-0_105081_2021-10-27_final
2021-10-27 10:52:38	ga_ls8c_ard_3-2-0_105082_2021-10-27_final
2021-10-27 10:53:02	ga_ls8c_ard_3-2-0_105083_2021-10-27_final
2021-11-26 11:01:19	ga_ls8c_ard_3-2-0_107073_2021-11-26_final
2021-11-26 11:01:43	ga_ls8c_ard_3-2-0_107074_2021-11-26_final
2021-11-26 11:02:07	ga_ls8c_ard_3-2-0_107075_2021-11-26_final
2021-11-26 11:02:31	ga_ls8c_ard_3-2-0_107076_2021-11-26_final
2021-11-26 11:02:55	ga_ls8c_ard_3-2-0_107077_2021-11-26_final
2021-11-26 11:03:19	ga_ls8c_ard_3-2-0_107078_2021-11-26_final
2021-11-26 11:03:43	ga_ls8c_ard_3-2-0_107079_2021-11-26_final
2021-11-28 10:52:33	ga_ls8c_ard_3-2-0_105082_2021-11-28_final
2021-11-28 10:52:57	ga_ls8c_ard_3-2-0_105083_2021-11-28_final
2023-02-01 11:01:21	ga_ls8c_ard_3-2-1_107073_2023-02-01_final
2023-02-01 11:01:45	ga_ls8c_ard_3-2-1_107074_2023-02-01_final
2023-02-01 11:02:09	ga_ls8c_ard_3-2-1_107075_2023-02-01_final
2023-02-01 11:02:33	ga_ls8c_ard_3-2-1_107076_2023-02-01_final
2023-02-01 11:02:57	ga_ls8c_ard_3-2-1_107077_2023-02-01_final
2023-02-01 11:03:21	ga_ls8c_ard_3-2-1_107078_2023-02-01_final
2023-03-21 11:00:51	ga_ls8c_ard_3-2-1_107073_2023-03-21_final
2023-03-21 11:01:15	ga_ls8c_ard_3-2-1_107074_2023-03-21_final
2023-03-21 11:01:39	ga_ls8c_ard_3-2-1_107075_2023-03-21_final
2023-03-21 11:02:03	ga_ls8c_ard_3-2-1_107076_2023-03-21_final
2023-03-21 11:02:27	ga_ls8c_ard_3-2-1_107077_2023-03-21_final
2023-03-21 11:02:50	ga_ls8c_ard_3-2-1_107078_2023-03-21_final
2023-03-21 11:03:14	ga_ls8c_ard_3-2-1_107079_2023-03-21_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
2023-04-20 11:11:14	ga_ls8c_ard_3-2-1_109069_2023-04-20_final
2023-04-24 10:51:43	ga_ls8c_ard_3-2-1_105082_2023-04-24_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