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
2016-08-22 11:11:03	ga_ls8c_ard_3-0-0_109067_2016-08-22_final
2016-08-22 11:11:27	ga_ls8c_ard_3-0-0_109068_2016-08-22_final
2016-08-22 11:11:51	ga_ls8c_ard_3-0-0_109069_2016-08-22_final
2016-08-22 11:12:15	ga_ls8c_ard_3-0-0_109070_2016-08-22_final
2016-09-07 11:11:09	ga_ls8c_ard_3-0-0_109067_2016-09-07_final
2016-09-07 11:11:33	ga_ls8c_ard_3-0-0_109068_2016-09-07_final
2016-09-07 11:11:56	ga_ls8c_ard_3-0-0_109069_2016-09-07_final
2016-09-07 11:12:20	ga_ls8c_ard_3-0-0_109070_2016-09-07_final
2016-09-23 11:11:10	ga_ls8c_ard_3-0-0_109067_2016-09-23_final
2016-09-23 11:11:34	ga_ls8c_ard_3-0-0_109068_2016-09-23_final
2016-09-23 11:11:58	ga_ls8c_ard_3-0-0_109069_2016-09-23_final
2016-09-23 11:12:22	ga_ls8c_ard_3-0-0_109070_2016-09-23_final
2016-10-09 11:11:14	ga_ls8c_ard_3-0-0_109067_2016-10-09_final
2016-10-09 11:11:38	ga_ls8c_ard_3-0-0_109068_2016-10-09_final
2016-10-09 11:12:02	ga_ls8c_ard_3-0-0_109069_2016-10-09_final
2016-10-09 11:12:26	ga_ls8c_ard_3-0-0_109070_2016-10-09_final
2016-10-18 11:05:53	ga_ls8c_ard_3-0-0_108069_2016-10-18_final
2016-10-18 11:06:17	ga_ls8c_ard_3-0-0_108070_2016-10-18_final
2016-10-18 11:06:41	ga_ls8c_ard_3-0-0_108071_2016-10-18_final
2016-10-18 11:07:05	ga_ls8c_ard_3-0-0_108072_2016-10-18_final
2016-10-18 11:07:29	ga_ls8c_ard_3-0-0_108073_2016-10-18_final
2016-10-18 11:07:53	ga_ls8c_ard_3-0-0_108074_2016-10-18_final
2016-10-25 11:11:17	ga_ls8c_ard_3-0-0_109067_2016-10-25_final
2016-10-25 11:11:41	ga_ls8c_ard_3-0-0_109068_2016-10-25_final
2016-10-25 11:12:05	ga_ls8c_ard_3-0-0_109069_2016-10-25_final
2016-10-25 11:12:29	ga_ls8c_ard_3-0-0_109070_2016-10-25_final
2016-11-21 10:57:07	ga_ls8c_ard_3-0-0_106078_2016-11-21_final
2016-11-21 10:57:31	ga_ls8c_ard_3-0-0_106079_2016-11-21_final
2016-11-21 10:57:55	ga_ls8c_ard_3-0-0_106080_2016-11-21_final
2016-11-21 10:58:19	ga_ls8c_ard_3-0-0_106081_2016-11-21_final
2016-11-21 10:58:43	ga_ls8c_ard_3-0-0_106082_2016-11-21_final
2016-11-21 10:59:07	ga_ls8c_ard_3-0-0_106083_2016-11-21_final
2017-07-26 11:01:17	ga_ls8c_ard_3-0-0_107074_2017-07-26_final
2017-07-26 11:01:41	ga_ls8c_ard_3-0-0_107075_2017-07-26_final
2017-07-26 11:02:05	ga_ls8c_ard_3-0-0_107076_2017-07-26_final
2017-07-26 11:02:29	ga_ls8c_ard_3-0-0_107077_2017-07-26_final
2017-07-26 11:02:53	ga_ls8c_ard_3-0-0_107078_2017-07-26_final
2017-07-26 11:03:17	ga_ls8c_ard_3-0-0_107079_2017-07-26_final
2017-08-20 10:56:51	ga_ls8c_ard_3-0-0_106078_2017-08-20_final
2017-08-20 10:57:15	ga_ls8c_ard_3-0-0_106079_2017-08-20_final
2017-08-20 10:57:39	ga_ls8c_ard_3-0-0_106080_2017-08-20_final
2017-08-20 10:58:03	ga_ls8c_ard_3-0-0_106081_2017-08-20_final
2017-08-20 10:58:27	ga_ls8c_ard_3-0-0_106082_2017-08-20_final
2017-08-20 10:58:51	ga_ls8c_ard_3-0-0_106083_2017-08-20_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
2017-08-27 11:03:27	ga_ls8c_ard_3-0-0_107079_2017-08-27_final
2017-08-29 10:52:18	ga_ls8c_ard_3-0-0_105082_2017-08-29_final
2017-09-05 10:56:53	ga_ls8c_ard_3-0-0_106078_2017-09-05_final
2017-09-05 10:57:17	ga_ls8c_ard_3-0-0_106079_2017-09-05_final
2017-09-05 10:57:41	ga_ls8c_ard_3-0-0_106080_2017-09-05_final
2017-09-05 10:58:05	ga_ls8c_ard_3-0-0_106081_2017-09-05_final
2017-09-05 10:58:29	ga_ls8c_ard_3-0-0_106082_2017-09-05_final
2017-09-05 10:58:53	ga_ls8c_ard_3-0-0_106083_2017-09-05_final
2017-09-21 10:56:56	ga_ls8c_ard_3-0-0_106078_2017-09-21_final
2017-09-21 10:57:20	ga_ls8c_ard_3-0-0_106079_2017-09-21_final
2017-09-21 10:57:44	ga_ls8c_ard_3-0-0_106080_2017-09-21_final
2017-09-21 10:58:08	ga_ls8c_ard_3-0-0_106081_2017-09-21_final
2017-09-21 10:58:32	ga_ls8c_ard_3-0-0_106082_2017-09-21_final
2017-09-21 10:58:56	ga_ls8c_ard_3-0-0_106083_2017-09-21_final
2017-10-14 11:01:39	ga_ls8c_ard_3-0-0_107074_2017-10-14_final
2017-10-14 11:02:03	ga_ls8c_ard_3-0-0_107075_2017-10-14_final
2017-10-14 11:02:27	ga_ls8c_ard_3-0-0_107076_2017-10-14_final
2017-10-14 11:02:51	ga_ls8c_ard_3-0-0_107077_2017-10-14_final
2017-10-14 11:03:15	ga_ls8c_ard_3-0-0_107078_2017-10-14_final
2017-10-14 11:03:39	ga_ls8c_ard_3-0-0_107079_2017-10-14_final
2018-09-17 10:51:49	ga_ls8c_ard_3-0-0_105082_2018-09-17_final
2018-09-17 10:52:13	ga_ls8c_ard_3-0-0_105083_2018-09-17_final
2019-01-07 10:52:03	ga_ls8c_ard_3-0-0_105082_2019-01-07_final
2019-01-07 10:52:27	ga_ls8c_ard_3-0-0_105083_2019-01-07_final
2020-02-07 11:10:59	ga_ls8c_ard_3-1-0_109067_2020-02-07_final
2020-02-07 11:11:23	ga_ls8c_ard_3-1-0_109068_2020-02-07_final
2020-02-07 11:11:47	ga_ls8c_ard_3-1-0_109069_2020-02-07_final
2020-02-07 11:12:11	ga_ls8c_ard_3-1-0_109070_2020-02-07_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
2022-06-29 11:05:47	ga_ls8c_ard_3-2-1_108069_2022-06-29_final
2022-06-29 11:06:11	ga_ls8c_ard_3-2-1_108070_2022-06-29_final
2022-06-29 11:06:35	ga_ls8c_ard_3-2-1_108071_2022-06-29_final
2022-06-29 11:06:59	ga_ls8c_ard_3-2-1_108072_2022-06-29_final
2022-06-29 11:07:23	ga_ls8c_ard_3-2-1_108073_2022-06-29_final
2022-06-29 11:07:47	ga_ls8c_ard_3-2-1_108074_2022-06-29_final
2022-07-01 10:57:01	ga_ls8c_ard_3-2-1_106078_2022-07-01_final
2022-07-01 10:57:25	ga_ls8c_ard_3-2-1_106079_2022-07-01_final
2022-07-01 10:57:49	ga_ls8c_ard_3-2-1_106080_2022-07-01_final
2022-07-01 10:58:13	ga_ls8c_ard_3-2-1_106081_2022-07-01_final
2022-07-01 10:58:37	ga_ls8c_ard_3-2-1_106082_2022-07-01_final
2022-07-01 10:59:01	ga_ls8c_ard_3-2-1_106083_2022-07-01_final
2022-07-06 11:11:58	ga_ls8c_ard_3-2-1_109069_2022-07-06_final
2022-07-06 11:12:22	ga_ls8c_ard_3-2-1_109070_2022-07-06_final
2022-07-08 11:01:36	ga_ls8c_ard_3-2-1_107074_2022-07-08_final
2022-07-08 11:02:00	ga_ls8c_ard_3-2-1_107075_2022-07-08_final
2022-07-08 11:02:24	ga_ls8c_ard_3-2-1_107076_2022-07-08_final
2022-07-08 11:02:48	ga_ls8c_ard_3-2-1_107077_2022-07-08_final
2022-07-08 11:03:12	ga_ls8c_ard_3-2-1_107078_2022-07-08_final
2022-07-08 11:03:36	ga_ls8c_ard_3-2-1_107079_2022-07-08_final
2022-07-10 10:52:26	ga_ls8c_ard_3-2-1_105082_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