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
2014-01-14 11:07:32	ga_ls8c_ard_3-0-0_108071_2014-01-14_final
2014-01-14 11:07:55	ga_ls8c_ard_3-0-0_108072_2014-01-14_final
2014-01-14 11:08:19	ga_ls8c_ard_3-0-0_108073_2014-01-14_final
2014-01-14 11:08:43	ga_ls8c_ard_3-0-0_108074_2014-01-14_final
2014-01-16 10:58:19	ga_ls8c_ard_3-0-0_106079_2014-01-16_final
2014-01-16 10:58:43	ga_ls8c_ard_3-0-0_106080_2014-01-16_final
2014-01-16 10:59:07	ga_ls8c_ard_3-0-0_106081_2014-01-16_final
2014-01-16 10:59:31	ga_ls8c_ard_3-0-0_106082_2014-01-16_final
2014-01-16 10:59:55	ga_ls8c_ard_3-0-0_106083_2014-01-16_final
2014-02-01 10:57:51	ga_ls8c_ard_3-0-0_106078_2014-02-01_final
2014-02-01 10:58:14	ga_ls8c_ard_3-0-0_106079_2014-02-01_final
2014-02-01 10:58:38	ga_ls8c_ard_3-0-0_106080_2014-02-01_final
2014-02-01 10:59:02	ga_ls8c_ard_3-0-0_106081_2014-02-01_final
2014-02-01 10:59:26	ga_ls8c_ard_3-0-0_106082_2014-02-01_final
2014-02-01 10:59:50	ga_ls8c_ard_3-0-0_106083_2014-02-01_final
2021-02-18 11:05:37	ga_ls8c_ard_3-2-0_108069_2021-02-18_final
2021-02-18 11:06:01	ga_ls8c_ard_3-2-0_108070_2021-02-18_final
2021-02-18 11:06:24	ga_ls8c_ard_3-2-0_108071_2021-02-18_final
2021-02-18 11:06:48	ga_ls8c_ard_3-2-0_108072_2021-02-18_final
2021-02-18 11:07:12	ga_ls8c_ard_3-2-0_108073_2021-02-18_final
2021-02-18 11:07:36	ga_ls8c_ard_3-2-0_108074_2021-02-18_final
2021-02-20 10:56:50	ga_ls8c_ard_3-2-0_106078_2021-02-20_final
2021-02-20 10:57:14	ga_ls8c_ard_3-2-0_106079_2021-02-20_final
2021-02-20 10:57:38	ga_ls8c_ard_3-2-0_106080_2021-02-20_final
2021-02-20 10:58:02	ga_ls8c_ard_3-2-0_106081_2021-02-20_final
2021-02-20 10:58:25	ga_ls8c_ard_3-2-0_106082_2021-02-20_final
2021-02-20 10:58:49	ga_ls8c_ard_3-2-0_106083_2021-02-20_final
2021-03-06 11:05:29	ga_ls8c_ard_3-2-0_108069_2021-03-06_final
2021-03-06 11:05:53	ga_ls8c_ard_3-2-0_108070_2021-03-06_final
2021-03-06 11:06:17	ga_ls8c_ard_3-2-0_108071_2021-03-06_final
2021-03-06 11:06:41	ga_ls8c_ard_3-2-0_108072_2021-03-06_final
2021-03-06 11:07:05	ga_ls8c_ard_3-2-0_108073_2021-03-06_final
2021-03-06 11:07:29	ga_ls8c_ard_3-2-0_108074_2021-03-06_final
2021-03-08 10:56:42	ga_ls8c_ard_3-2-0_106078_2021-03-08_final
2021-03-08 10:57:06	ga_ls8c_ard_3-2-0_106079_2021-03-08_final
2021-03-08 10:57:30	ga_ls8c_ard_3-2-0_106080_2021-03-08_final
2021-03-08 10:57:54	ga_ls8c_ard_3-2-0_106081_2021-03-08_final
2021-03-08 10:58:18	ga_ls8c_ard_3-2-0_106082_2021-03-08_final
2021-03-08 10:58:42	ga_ls8c_ard_3-2-0_106083_2021-03-08_final
2022-02-14 11:01:03	ga_ls8c_ard_3-2-1_107073_2022-02-14_final
2022-02-14 11:01:27	ga_ls8c_ard_3-2-1_107074_2022-02-14_final
2022-02-14 11:01:51	ga_ls8c_ard_3-2-1_107075_2022-02-14_final
2022-02-14 11:02:15	ga_ls8c_ard_3-2-1_107076_2022-02-14_final
2022-02-14 11:02:39	ga_ls8c_ard_3-2-1_107077_2022-02-14_final
2022-02-14 11:03:03	ga_ls8c_ard_3-2-1_107078_2022-02-14_final
2022-02-14 11:03:26	ga_ls8c_ard_3-2-1_107079_2022-02-14_final
2022-02-16 10:52:16	ga_ls8c_ard_3-2-1_105082_2022-02-16_final
2022-02-16 10:52:40	ga_ls8c_ard_3-2-1_105083_2022-02-16_final
2022-02-21 11:05:35	ga_ls8c_ard_3-2-1_108069_2022-02-21_final
2022-02-21 11:05:59	ga_ls8c_ard_3-2-1_108070_2022-02-21_final
2022-02-21 11:06:22	ga_ls8c_ard_3-2-1_108071_2022-02-21_final
2022-02-21 11:06:46	ga_ls8c_ard_3-2-1_108072_2022-02-21_final
2022-02-21 11:07:10	ga_ls8c_ard_3-2-1_108073_2022-02-21_final
2022-02-21 11:07:34	ga_ls8c_ard_3-2-1_108074_2022-02-21_final
2022-02-23 10:56:48	ga_ls8c_ard_3-2-1_106078_2022-02-23_final
2022-02-23 10:57:12	ga_ls8c_ard_3-2-1_106079_2022-02-23_final
2022-02-23 10:57:36	ga_ls8c_ard_3-2-1_106080_2022-02-23_final
2022-02-23 10:58:00	ga_ls8c_ard_3-2-1_106081_2022-02-23_final
2022-02-23 10:58:24	ga_ls8c_ard_3-2-1_106082_2022-02-23_final
2022-02-23 10:58:48	ga_ls8c_ard_3-2-1_106083_2022-02-23_final
2022-05-28 11:05:28	ga_ls8c_ard_3-2-1_108069_2022-05-28_final
2022-05-28 11:05:52	ga_ls8c_ard_3-2-1_108070_2022-05-28_final
2022-05-28 11:06:16	ga_ls8c_ard_3-2-1_108071_2022-05-28_final
2022-05-28 11:06:40	ga_ls8c_ard_3-2-1_108072_2022-05-28_final
2022-05-28 11:07:04	ga_ls8c_ard_3-2-1_108073_2022-05-28_final
2022-05-28 11:07:28	ga_ls8c_ard_3-2-1_108074_2022-05-28_final
2022-05-30 10:56:44	ga_ls8c_ard_3-2-1_106078_2022-05-30_final
2022-05-30 10:57:08	ga_ls8c_ard_3-2-1_106079_2022-05-30_final
2022-05-30 10:57:32	ga_ls8c_ard_3-2-1_106080_2022-05-30_final
2022-05-30 10:57:56	ga_ls8c_ard_3-2-1_106081_2022-05-30_final
2022-05-30 10:58:20	ga_ls8c_ard_3-2-1_106082_2022-05-30_final
2022-05-30 10:58:44	ga_ls8c_ard_3-2-1_106083_2022-05-30_final
2022-06-04 11:11:46	ga_ls8c_ard_3-2-1_109069_2022-06-04_final
2022-06-06 11:01:02	ga_ls8c_ard_3-2-1_107073_2022-06-06_final
2022-06-06 11:01:26	ga_ls8c_ard_3-2-1_107074_2022-06-06_final
2022-06-06 11:01:50	ga_ls8c_ard_3-2-1_107075_2022-06-06_final
2022-06-06 11:02:14	ga_ls8c_ard_3-2-1_107076_2022-06-06_final
2022-06-06 11:02:38	ga_ls8c_ard_3-2-1_107077_2022-06-06_final
2022-06-06 11:03:02	ga_ls8c_ard_3-2-1_107078_2022-06-06_final
2022-06-06 11:03:25	ga_ls8c_ard_3-2-1_107079_2022-06-06_final
2022-06-08 10:52:17	ga_ls8c_ard_3-2-1_105082_2022-06-08_final
2022-06-08 10:52:41	ga_ls8c_ard_3-2-1_105083_2022-06-08_final
2022-06-15 10:56:33	ga_ls8c_ard_3-2-1_106077_2022-06-15_final
2022-06-15 10:56:57	ga_ls8c_ard_3-2-1_106078_2022-06-15_final
2022-06-15 10:57:21	ga_ls8c_ard_3-2-1_106079_2022-06-15_final
2022-06-15 10:57:45	ga_ls8c_ard_3-2-1_106080_2022-06-15_final
2022-06-15 10:58:33	ga_ls8c_ard_3-2-1_106082_2022-06-15_final
2022-06-20 11:11:56	ga_ls8c_ard_3-2-1_109069_2022-06-20_final
2022-06-22 11:01:11	ga_ls8c_ard_3-2-1_107073_2022-06-22_final
2022-06-22 11:01:35	ga_ls8c_ard_3-2-1_107074_2022-06-22_final
2022-06-22 11:01:59	ga_ls8c_ard_3-2-1_107075_2022-06-22_final
2022-06-22 11:02:23	ga_ls8c_ard_3-2-1_107076_2022-06-22_final
2022-06-22 11:02:47	ga_ls8c_ard_3-2-1_107077_2022-06-22_final
2022-06-22 11:03:11	ga_ls8c_ard_3-2-1_107078_2022-06-22_final
2022-06-22 11:03:35	ga_ls8c_ard_3-2-1_107079_2022-06-22_final
2022-06-24 10:52:25	ga_ls8c_ard_3-2-1_105082_2022-06-24_final
2022-06-24 10:52:49	ga_ls8c_ard_3-2-1_105083_2022-06-24_final
2022-07-06 11:11:58	ga_ls8c_ard_3-2-1_109069_2022-07-06_final
2022-07-10 10:52:26	ga_ls8c_ard_3-2-1_105082_2022-07-10_final
2022-07-10 10:52:50	ga_ls8c_ard_3-2-1_105083_2022-07-10_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years