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
2017-09-28 11:00:47	ga_ls8c_ard_3-0-0_107072_2017-09-28_final
2017-09-28 11:01:11	ga_ls8c_ard_3-0-0_107073_2017-09-28_final
2017-09-28 11:01:35	ga_ls8c_ard_3-0-0_107074_2017-09-28_final
2017-09-28 11:01:59	ga_ls8c_ard_3-0-0_107075_2017-09-28_final
2017-09-28 11:02:23	ga_ls8c_ard_3-0-0_107076_2017-09-28_final
2017-09-28 11:02:47	ga_ls8c_ard_3-0-0_107077_2017-09-28_final
2017-09-28 11:03:10	ga_ls8c_ard_3-0-0_107078_2017-09-28_final
2017-11-15 11:00:49	ga_ls8c_ard_3-0-0_107072_2017-11-15_final
2017-11-15 11:01:13	ga_ls8c_ard_3-0-0_107073_2017-11-15_final
2017-11-15 11:01:37	ga_ls8c_ard_3-0-0_107074_2017-11-15_final
2017-11-15 11:02:01	ga_ls8c_ard_3-0-0_107075_2017-11-15_final
2017-11-15 11:02:25	ga_ls8c_ard_3-0-0_107076_2017-11-15_final
2017-11-15 11:02:48	ga_ls8c_ard_3-0-0_107077_2017-11-15_final
2017-11-15 11:03:12	ga_ls8c_ard_3-0-0_107078_2017-11-15_final
2017-11-24 10:56:34	ga_ls8c_ard_3-0-0_106077_2017-11-24_final
2017-11-24 10:56:58	ga_ls8c_ard_3-0-0_106078_2017-11-24_final
2017-11-24 10:57:22	ga_ls8c_ard_3-0-0_106079_2017-11-24_final
2017-11-24 10:57:46	ga_ls8c_ard_3-0-0_106080_2017-11-24_final
2017-11-24 10:58:10	ga_ls8c_ard_3-0-0_106081_2017-11-24_final
2017-11-24 10:58:34	ga_ls8c_ard_3-0-0_106082_2017-11-24_final
2017-12-03 10:51:57	ga_ls8c_ard_3-0-0_105081_2017-12-03_final
2017-12-03 10:52:21	ga_ls8c_ard_3-0-0_105082_2017-12-03_final
2017-12-03 10:52:44	ga_ls8c_ard_3-0-0_105083_2017-12-03_final
2017-12-15 11:11:06	ga_ls8c_ard_3-0-0_109067_2017-12-15_final
2017-12-15 11:11:30	ga_ls8c_ard_3-0-0_109068_2017-12-15_final
2017-12-15 11:11:54	ga_ls8c_ard_3-0-0_109069_2017-12-15_final
2017-12-17 11:01:09	ga_ls8c_ard_3-0-0_107073_2017-12-17_final
2017-12-17 11:01:33	ga_ls8c_ard_3-0-0_107074_2017-12-17_final
2017-12-17 11:01:57	ga_ls8c_ard_3-0-0_107075_2017-12-17_final
2017-12-17 11:02:21	ga_ls8c_ard_3-0-0_107076_2017-12-17_final
2017-12-17 11:02:45	ga_ls8c_ard_3-0-0_107077_2017-12-17_final
2017-12-17 11:03:09	ga_ls8c_ard_3-0-0_107078_2017-12-17_final
2017-12-19 10:51:59	ga_ls8c_ard_3-0-0_105081_2017-12-19_final
2017-12-19 10:52:23	ga_ls8c_ard_3-0-0_105082_2017-12-19_final
2017-12-19 10:52:47	ga_ls8c_ard_3-0-0_105083_2017-12-19_final
2017-12-26 10:56:34	ga_ls8c_ard_3-0-0_106077_2017-12-26_final
2017-12-26 10:56:58	ga_ls8c_ard_3-0-0_106078_2017-12-26_final
2017-12-26 10:57:22	ga_ls8c_ard_3-0-0_106079_2017-12-26_final
2017-12-26 10:57:46	ga_ls8c_ard_3-0-0_106080_2017-12-26_final
2017-12-26 10:58:10	ga_ls8c_ard_3-0-0_106081_2017-12-26_final
2017-12-26 10:58:34	ga_ls8c_ard_3-0-0_106082_2017-12-26_final
2018-02-01 11:10:49	ga_ls8c_ard_3-0-0_109067_2018-02-01_final
2018-02-01 11:11:13	ga_ls8c_ard_3-0-0_109068_2018-02-01_final
2018-02-01 11:11:37	ga_ls8c_ard_3-0-0_109069_2018-02-01_final
2018-02-03 11:00:50	ga_ls8c_ard_3-0-0_107073_2018-02-03_final
2018-02-03 11:01:14	ga_ls8c_ard_3-0-0_107074_2018-02-03_final
2018-02-03 11:01:38	ga_ls8c_ard_3-0-0_107075_2018-02-03_final
2018-02-03 11:02:02	ga_ls8c_ard_3-0-0_107076_2018-02-03_final
2018-02-03 11:02:26	ga_ls8c_ard_3-0-0_107077_2018-02-03_final
2018-02-03 11:02:50	ga_ls8c_ard_3-0-0_107078_2018-02-03_final
2019-12-14 11:05:27	ga_ls8c_ard_3-2-0_108068_2019-12-14_final
2019-12-14 11:05:51	ga_ls8c_ard_3-2-0_108069_2019-12-14_final
2019-12-14 11:06:15	ga_ls8c_ard_3-2-0_108070_2019-12-14_final
2019-12-14 11:06:39	ga_ls8c_ard_3-2-0_108071_2019-12-14_final
2019-12-14 11:07:03	ga_ls8c_ard_3-2-0_108072_2019-12-14_final
2019-12-14 11:07:27	ga_ls8c_ard_3-2-0_108073_2019-12-14_final
2019-12-30 11:05:23	ga_ls8c_ard_3-1-0_108068_2019-12-30_final
2019-12-30 11:05:47	ga_ls8c_ard_3-1-0_108069_2019-12-30_final
2019-12-30 11:06:11	ga_ls8c_ard_3-1-0_108070_2019-12-30_final
2019-12-30 11:06:35	ga_ls8c_ard_3-1-0_108071_2019-12-30_final
2019-12-30 11:06:59	ga_ls8c_ard_3-1-0_108072_2019-12-30_final
2019-12-30 11:07:23	ga_ls8c_ard_3-1-0_108073_2019-12-30_final
2020-01-01 10:56:36	ga_ls8c_ard_3-1-0_106077_2020-01-01_final
2020-01-01 10:57:00	ga_ls8c_ard_3-1-0_106078_2020-01-01_final
2020-01-01 10:57:24	ga_ls8c_ard_3-1-0_106079_2020-01-01_final
2020-01-01 10:57:48	ga_ls8c_ard_3-1-0_106080_2020-01-01_final
2020-01-01 10:58:12	ga_ls8c_ard_3-1-0_106081_2020-01-01_final
2020-01-01 10:58:36	ga_ls8c_ard_3-1-0_106082_2020-01-01_final
2020-01-10 10:51:59	ga_ls8c_ard_3-1-0_105081_2020-01-10_final
2020-01-10 10:52:23	ga_ls8c_ard_3-1-0_105082_2020-01-10_final
2020-01-10 10:52:47	ga_ls8c_ard_3-1-0_105083_2020-01-10_final
2020-01-26 10:51:55	ga_ls8c_ard_3-1-0_105081_2020-01-26_final
2020-01-26 10:52:19	ga_ls8c_ard_3-1-0_105082_2020-01-26_final
2020-01-26 10:52:43	ga_ls8c_ard_3-1-0_105083_2020-01-26_final
2020-02-16 11:05:11	ga_ls8c_ard_3-1-0_108068_2020-02-16_final
2020-02-16 11:05:35	ga_ls8c_ard_3-1-0_108069_2020-02-16_final
2020-02-16 11:05:59	ga_ls8c_ard_3-1-0_108070_2020-02-16_final
2020-02-16 11:06:23	ga_ls8c_ard_3-1-0_108071_2020-02-16_final
2020-02-16 11:06:47	ga_ls8c_ard_3-1-0_108072_2020-02-16_final
2020-02-16 11:07:10	ga_ls8c_ard_3-1-0_108073_2020-02-16_final
2020-04-20 11:04:43	ga_ls8c_ard_3-1-0_108068_2020-04-20_final
2020-04-20 11:05:07	ga_ls8c_ard_3-1-0_108069_2020-04-20_final
2020-04-20 11:05:31	ga_ls8c_ard_3-1-0_108070_2020-04-20_final
2023-05-08 10:59:57	ga_ls8c_ard_3-2-1_107072_2023-05-08_final
2023-05-08 11:00:20	ga_ls8c_ard_3-2-1_107073_2023-05-08_final
2023-05-08 11:00:44	ga_ls8c_ard_3-2-1_107074_2023-05-08_final
2023-05-08 11:01:08	ga_ls8c_ard_3-2-1_107075_2023-05-08_final
2023-05-08 11:01:32	ga_ls8c_ard_3-2-1_107076_2023-05-08_final
2023-05-08 11:01:56	ga_ls8c_ard_3-2-1_107077_2023-05-08_final
2023-05-08 11:02:20	ga_ls8c_ard_3-2-1_107078_2023-05-08_final
2024-05-01 11:04:54	ga_ls8c_ard_3-2-1_108069_2024-05-01_final
2024-05-01 11:05:18	ga_ls8c_ard_3-2-1_108070_2024-05-01_final
2024-05-01 11:05:41	ga_ls8c_ard_3-2-1_108071_2024-05-01_final
2024-05-01 11:06:05	ga_ls8c_ard_3-2-1_108072_2024-05-01_final
2024-05-01 11:06:29	ga_ls8c_ard_3-2-1_108073_2024-05-01_final
2024-05-03 10:55:42	ga_ls8c_ard_3-2-1_106077_2024-05-03_final
2024-05-03 10:56:06	ga_ls8c_ard_3-2-1_106078_2024-05-03_final
2024-05-03 10:56:30	ga_ls8c_ard_3-2-1_106079_2024-05-03_final
2024-05-03 10:56:54	ga_ls8c_ard_3-2-1_106080_2024-05-03_final
2024-05-03 10:57:18	ga_ls8c_ard_3-2-1_106081_2024-05-03_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