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
2013-08-12 08:12:43	ga_ls8c_ard_3-2-1_079080_2013-08-11_final
2013-08-28 08:12:46	ga_ls8c_ard_3-2-1_079080_2013-08-27_final
2013-09-13 08:12:42	ga_ls8c_ard_3-2-1_079080_2013-09-12_final
2013-10-15 08:12:35	ga_ls8c_ard_3-2-1_079080_2013-10-14_final
2013-10-31 08:12:26	ga_ls8c_ard_3-2-1_079080_2013-10-30_final
2013-11-16 08:12:24	ga_ls8c_ard_3-2-1_079080_2013-11-15_final
2013-12-02 08:12:20	ga_ls8c_ard_3-2-1_079080_2013-12-01_final
2013-12-18 08:12:12	ga_ls8c_ard_3-2-1_079080_2013-12-17_final
2014-10-18 08:10:57	ga_ls8c_ard_3-2-1_079080_2014-10-17_final
2014-12-05 08:10:53	ga_ls8c_ard_3-2-1_079080_2014-12-04_final
2014-12-21 08:10:50	ga_ls8c_ard_3-2-1_079080_2014-12-20_final
2015-09-19 08:10:40	ga_ls8c_ard_3-2-1_079080_2015-09-18_final
2015-10-05 08:10:44	ga_ls8c_ard_3-2-1_079080_2015-10-04_final
2015-11-06 08:10:50	ga_ls8c_ard_3-2-1_079080_2015-11-05_final
2015-11-22 08:10:52	ga_ls8c_ard_3-2-1_079080_2015-11-21_final
2015-12-08 08:10:50	ga_ls8c_ard_3-2-1_079080_2015-12-07_final
2015-12-24 08:10:51	ga_ls8c_ard_3-2-1_079080_2015-12-23_final
2016-09-21 08:10:57	ga_ls8c_ard_3-2-1_079080_2016-09-20_final
2016-10-23 08:11:04	ga_ls8c_ard_3-2-1_079080_2016-10-22_final
2016-11-08 08:11:03	ga_ls8c_ard_3-2-1_079080_2016-11-07_final
2016-11-24 08:11:03	ga_ls8c_ard_3-2-1_079080_2016-11-23_final
2016-12-10 08:11:01	ga_ls8c_ard_3-2-1_079080_2016-12-09_final
2016-12-26 08:10:57	ga_ls8c_ard_3-2-1_079080_2016-12-25_final
2017-09-24 08:10:54	ga_ls8c_ard_3-2-1_079080_2017-09-23_final
2017-10-10 08:10:59	ga_ls8c_ard_3-2-1_079080_2017-10-09_final
2017-10-26 08:11:01	ga_ls8c_ard_3-2-1_079080_2017-10-25_final
2017-11-27 08:10:53	ga_ls8c_ard_3-2-1_079080_2017-11-26_final
2017-12-13 08:10:52	ga_ls8c_ard_3-2-1_079080_2017-12-12_final
2017-12-29 08:10:53	ga_ls8c_ard_3-2-1_079080_2017-12-28_final
2018-09-27 08:10:25	ga_ls8c_ard_3-2-1_079080_2018-09-26_final
2018-10-13 08:10:32	ga_ls8c_ard_3-2-1_079080_2018-10-12_final
2018-11-14 08:10:39	ga_ls8c_ard_3-2-1_079080_2018-11-13_final
2018-11-30 08:10:38	ga_ls8c_ard_3-2-1_079080_2018-11-29_final
2018-12-16 08:10:35	ga_ls8c_ard_3-2-1_079080_2018-12-15_final
2019-01-01 08:10:35	ga_ls8c_ard_3-2-1_079080_2018-12-31_final
2019-10-16 08:11:06	ga_ls8c_ard_3-2-1_079080_2019-10-15_final
2019-11-01 08:11:06	ga_ls8c_ard_3-2-1_079080_2019-10-31_final
2019-11-17 08:11:03	ga_ls8c_ard_3-2-1_079080_2019-11-16_final
2019-12-03 08:11:02	ga_ls8c_ard_3-2-1_079080_2019-12-02_final
2019-12-19 08:11:00	ga_ls8c_ard_3-2-1_079080_2019-12-18_final
2020-03-08 08:10:38	ga_ls8c_ard_3-2-1_079080_2020-03-07_final
2020-04-09 08:10:21	ga_ls8c_ard_3-2-1_079080_2020-04-08_final
2020-04-25 08:10:14	ga_ls8c_ard_3-2-1_079080_2020-04-24_final
2020-05-11 08:10:07	ga_ls8c_ard_3-2-1_079080_2020-05-10_final
2020-05-27 08:10:10	ga_ls8c_ard_3-2-1_079080_2020-05-26_final
2020-06-12 08:10:20	ga_ls8c_ard_3-2-1_079080_2020-06-11_final
2020-06-28 08:10:28	ga_ls8c_ard_3-2-1_079080_2020-06-27_final
2020-07-30 08:10:39	ga_ls8c_ard_3-2-1_079080_2020-07-29_final
2020-10-02 08:11:02	ga_ls8c_ard_3-2-1_079080_2020-10-01_final
2020-10-18 08:11:03	ga_ls8c_ard_3-2-1_079080_2020-10-17_final
2020-12-21 08:11:03	ga_ls8c_ard_3-2-1_079080_2020-12-20_final
2021-01-06 08:10:58	ga_ls8c_ard_3-2-1_079080_2021-01-05_final
2021-04-12 08:10:26	ga_ls8c_ard_3-2-1_079080_2021-04-11_final
2021-04-28 08:10:17	ga_ls8c_ard_3-2-1_079080_2021-04-27_final
2021-05-30 08:10:26	ga_ls8c_ard_3-2-1_079080_2021-05-29_final
2021-07-01 08:10:36	ga_ls8c_ard_3-2-1_079080_2021-06-30_final
2021-07-17 08:10:38	ga_ls8c_ard_3-2-1_079080_2021-07-16_final
2021-11-06 08:11:07	ga_ls8c_ard_3-2-1_079080_2021-11-05_final
2021-11-22 08:11:03	ga_ls8c_ard_3-2-1_079080_2021-11-21_final
2022-01-09 08:10:57	ga_ls8c_ard_3-2-1_079080_2022-01-08_final
2022-02-10 08:10:49	ga_ls8c_ard_3-2-1_079080_2022-02-09_final
2022-02-26 08:10:44	ga_ls8c_ard_3-2-1_079080_2022-02-25_final
2022-03-14 08:10:40	ga_ls8c_ard_3-2-1_079080_2022-03-13_final
2022-04-15 08:10:33	ga_ls8c_ard_3-2-1_079080_2022-04-14_final
2022-05-01 08:10:30	ga_ls8c_ard_3-2-1_079080_2022-04-30_final
2022-05-17 08:10:39	ga_ls8c_ard_3-2-1_079080_2022-05-16_final
2022-06-02 08:10:43	ga_ls8c_ard_3-2-1_079080_2022-06-01_final
2022-08-21 08:11:15	ga_ls8c_ard_3-2-1_079080_2022-08-20_final
2022-09-06 08:11:16	ga_ls8c_ard_3-2-1_079080_2022-09-05_final
2022-10-24 08:11:19	ga_ls8c_ard_3-2-1_079080_2022-10-23_final
2022-11-09 08:11:20	ga_ls8c_ard_3-2-1_079080_2022-11-08_final
2022-11-25 08:11:16	ga_ls8c_ard_3-2-1_079080_2022-11-24_final
2022-12-11 08:11:14	ga_ls8c_ard_3-2-1_079080_2022-12-10_final
2022-12-27 08:11:07	ga_ls8c_ard_3-2-1_079080_2022-12-26_final
2023-01-12 08:11:04	ga_ls8c_ard_3-2-1_079080_2023-01-11_final
2023-02-13 08:11:00	ga_ls8c_ard_3-2-1_079080_2023-02-12_final
2023-03-01 08:10:46	ga_ls8c_ard_3-2-1_079080_2023-02-28_final
2023-03-17 08:10:39	ga_ls8c_ard_3-2-1_079080_2023-03-16_final
2023-04-02 08:10:28	ga_ls8c_ard_3-2-1_079080_2023-04-01_final
2023-05-04 08:10:09	ga_ls8c_ard_3-2-1_079080_2023-05-03_final
2023-05-20 08:09:59	ga_ls8c_ard_3-2-1_079080_2023-05-19_final
2023-06-05 08:10:04	ga_ls8c_ard_3-2-1_079080_2023-06-04_final
2023-06-21 08:10:11	ga_ls8c_ard_3-2-1_079080_2023-06-20_final
2023-07-07 08:10:23	ga_ls8c_ard_3-2-1_079080_2023-07-06_final
2023-07-23 08:10:27	ga_ls8c_ard_3-2-1_079080_2023-07-22_final
2023-08-08 08:10:34	ga_ls8c_ard_3-2-1_079080_2023-08-07_final
2023-08-24 08:10:42	ga_ls8c_ard_3-2-1_079080_2023-08-23_final
2023-09-09 08:10:42	ga_ls8c_ard_3-2-1_079080_2023-09-08_final
2023-09-25 08:10:48	ga_ls8c_ard_3-2-1_079080_2023-09-24_final
2023-10-11 08:10:52	ga_ls8c_ard_3-2-1_079080_2023-10-10_final
2023-10-27 08:10:55	ga_ls8c_ard_3-2-1_079080_2023-10-26_final
2023-11-12 08:10:52	ga_ls8c_ard_3-2-1_079080_2023-11-11_final
2023-11-28 08:10:57	ga_ls8c_ard_3-2-1_079080_2023-11-27_final
2023-12-14 08:10:53	ga_ls8c_ard_3-2-1_079080_2023-12-13_final
2023-12-30 08:10:52	ga_ls8c_ard_3-2-1_079080_2023-12-29_final
2024-01-15 08:10:50	ga_ls8c_ard_3-2-1_079080_2024-01-14_final
2024-01-31 08:10:46	ga_ls8c_ard_3-2-1_079080_2024-01-30_final
2024-02-16 08:10:47	ga_ls8c_ard_3-2-1_079080_2024-02-15_final
2024-03-03 08:10:39	ga_ls8c_ard_3-2-1_079080_2024-03-02_final
2024-03-19 08:10:30	ga_ls8c_ard_3-2-1_079080_2024-03-18_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