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
2014-07-09 09:34:30	ga_ls8c_ard_3-0-0_092089_2014-07-09_final
2014-07-11 09:21:45	ga_ls8c_ard_3-0-0_090088_2014-07-10_final
2014-07-11 09:22:09	ga_ls8c_ard_3-0-0_090089_2014-07-10_final
2014-07-25 09:34:07	ga_ls8c_ard_3-0-0_092088_2014-07-25_final
2014-07-25 09:34:31	ga_ls8c_ard_3-0-0_092089_2014-07-25_final
2014-07-27 09:22:12	ga_ls8c_ard_3-0-0_090089_2014-07-26_final
2014-08-01 09:40:24	ga_ls8c_ard_3-0-0_093088_2014-08-01_final
2014-08-03 09:28:27	ga_ls8c_ard_3-0-0_091089_2014-08-02_final
2014-08-05 09:16:07	ga_ls8c_ard_3-0-0_089089_2014-08-04_final
2014-08-19 09:28:32	ga_ls8c_ard_3-0-0_091089_2014-08-18_final
2014-08-21 09:16:11	ga_ls8c_ard_3-0-0_089089_2014-08-20_final
2014-09-04 09:28:35	ga_ls8c_ard_3-0-0_091089_2014-09-03_final
2014-09-06 09:16:14	ga_ls8c_ard_3-0-0_089089_2014-09-05_final
2014-09-20 09:28:35	ga_ls8c_ard_3-0-0_091089_2014-09-19_final
2014-09-22 09:16:12	ga_ls8c_ard_3-0-0_089089_2014-09-21_final
2014-10-04 09:40:37	ga_ls8c_ard_3-0-0_093088_2014-10-04_final
2014-10-06 09:28:40	ga_ls8c_ard_3-0-0_091089_2014-10-05_final
2014-10-08 09:16:18	ga_ls8c_ard_3-0-0_089089_2014-10-07_final
2014-10-13 09:34:52	ga_ls8c_ard_3-0-0_092089_2014-10-13_final
2014-10-15 09:22:31	ga_ls8c_ard_3-0-0_090089_2014-10-14_final
2014-10-22 09:28:42	ga_ls8c_ard_3-0-0_091089_2014-10-21_final
2014-11-07 09:28:42	ga_ls8c_ard_3-0-0_091089_2014-11-06_final
2014-11-09 09:16:20	ga_ls8c_ard_3-0-0_089089_2014-11-08_final
2014-11-14 09:34:52	ga_ls8c_ard_3-0-0_092089_2014-11-14_final
2014-11-16 09:22:06	ga_ls8c_ard_3-0-0_090088_2014-11-15_final
2014-11-16 09:22:30	ga_ls8c_ard_3-0-0_090089_2014-11-15_final
2014-11-23 09:28:38	ga_ls8c_ard_3-0-0_091089_2014-11-22_final
2014-12-02 09:22:29	ga_ls8c_ard_3-0-0_090089_2014-12-01_final
2014-12-16 09:34:45	ga_ls8c_ard_3-0-0_092089_2014-12-16_final
2014-12-18 09:22:25	ga_ls8c_ard_3-0-0_090089_2014-12-17_final
2014-12-25 09:28:34	ga_ls8c_ard_3-0-0_091089_2014-12-24_final
2014-12-27 09:16:11	ga_ls8c_ard_3-0-0_089089_2014-12-26_final
2015-01-01 09:34:40	ga_ls8c_ard_3-0-0_092089_2015-01-01_final
2015-01-03 09:22:19	ga_ls8c_ard_3-0-0_090089_2015-01-02_final
2015-07-07 09:15:11	ga_ls8c_ard_3-0-0_089088_2015-07-06_final
2015-07-07 09:15:35	ga_ls8c_ard_3-0-0_089089_2015-07-06_final
2015-08-24 09:15:29	ga_ls8c_ard_3-0-0_089088_2015-08-23_final
2015-08-24 09:15:53	ga_ls8c_ard_3-0-0_089089_2015-08-23_final
2015-08-29 09:34:27	ga_ls8c_ard_3-0-0_092089_2015-08-29_final
2015-09-12 09:46:31	ga_ls8c_ard_3-0-0_094088_2015-09-12_final
2015-09-19 09:52:45	ga_ls8c_ard_3-0-0_095088_2015-09-19_final
2015-09-25 09:15:42	ga_ls8c_ard_3-0-0_089088_2015-09-24_final
2015-09-25 09:16:06	ga_ls8c_ard_3-0-0_089089_2015-09-24_final
2015-10-02 09:21:54	ga_ls8c_ard_3-0-0_090088_2015-10-01_final
2015-10-02 09:22:18	ga_ls8c_ard_3-1-0_090089_2015-10-01_final
2015-10-09 09:28:29	ga_ls8c_ard_3-0-0_091089_2015-10-08_final
2015-10-11 09:15:43	ga_ls8c_ard_3-0-0_089088_2015-10-10_final
2015-10-11 09:16:07	ga_ls8c_ard_3-0-0_089089_2015-10-10_final
2015-10-27 09:15:48	ga_ls8c_ard_3-0-0_089088_2015-10-26_final
2015-10-27 09:16:12	ga_ls8c_ard_3-0-0_089089_2015-10-26_final
2015-11-15 09:46:43	ga_ls8c_ard_3-0-0_094088_2015-11-15_final
2017-03-27 09:34:15	ga_ls8c_ard_3-0-0_092089_2017-03-27_final
2017-04-30 09:21:35	ga_ls8c_ard_3-0-0_090089_2017-04-29_final
2017-05-03 09:52:04	ga_ls8c_ard_3-0-0_095088_2017-05-03_final
2017-05-19 09:52:16	ga_ls8c_ard_3-0-0_095088_2017-05-19_final
2017-06-17 09:22:00	ga_ls8c_ard_3-0-0_090089_2017-06-16_final
2017-06-20 09:52:31	ga_ls8c_ard_3-0-0_095088_2017-06-20_final
2017-07-06 09:52:35	ga_ls8c_ard_3-0-0_095088_2017-07-06_final
2017-07-15 09:46:26	ga_ls8c_ard_3-0-0_094088_2017-07-15_final
2017-07-17 09:34:29	ga_ls8c_ard_3-0-0_092089_2017-07-17_final
2017-07-28 09:16:02	ga_ls8c_ard_3-0-0_089089_2017-07-27_final
2017-08-04 09:22:16	ga_ls8c_ard_3-0-0_090089_2017-08-03_final
2017-08-07 09:52:48	ga_ls8c_ard_3-0-0_095088_2017-08-07_final
2017-08-13 09:15:45	ga_ls8c_ard_3-0-0_089088_2017-08-12_final
2017-08-13 09:16:09	ga_ls8c_ard_3-0-0_089089_2017-08-12_final
2017-08-20 09:22:21	ga_ls8c_ard_3-0-0_090089_2017-08-19_final
2017-08-23 09:52:52	ga_ls8c_ard_3-0-0_095088_2017-08-23_final
2018-04-17 09:21:35	ga_ls8c_ard_3-0-0_090089_2018-04-16_final
2018-11-09 09:34:35	ga_ls8c_ard_3-0-0_092089_2018-11-09_final
2018-11-14 09:52:44	ga_ls8c_ard_3-0-0_095088_2018-11-14_final
2018-11-23 09:46:32	ga_ls8c_ard_3-0-0_094088_2018-11-23_final
2018-11-30 09:52:42	ga_ls8c_ard_3-0-0_095088_2018-11-30_final
2018-12-11 09:34:08	ga_ls8c_ard_3-0-0_092088_2018-12-11_final
2018-12-11 09:34:32	ga_ls8c_ard_3-0-0_092089_2018-12-11_final
2018-12-18 09:40:18	ga_ls8c_ard_3-0-0_093088_2018-12-18_final
2018-12-20 09:28:21	ga_ls8c_ard_3-0-0_091089_2018-12-19_final
2018-12-22 09:15:59	ga_ls8c_ard_3-0-0_089089_2018-12-21_final
2018-12-29 09:22:10	ga_ls8c_ard_3-0-0_090089_2018-12-28_final
2019-01-07 09:15:58	ga_ls8c_ard_3-0-0_089089_2019-01-06_final
2019-01-12 09:34:30	ga_ls8c_ard_3-0-0_092089_2019-01-12_final
2019-01-14 09:22:08	ga_ls8c_ard_3-0-0_090089_2019-01-13_final
2019-01-28 09:34:26	ga_ls8c_ard_3-0-0_092089_2019-01-28_final
2019-01-30 09:22:04	ga_ls8c_ard_3-0-0_090089_2019-01-29_final
2022-04-03 09:28:12	ga_ls8c_ard_3-2-1_091089_2022-04-02_final
2022-04-05 09:15:52	ga_ls8c_ard_3-2-1_089089_2022-04-04_final
2022-04-10 09:34:27	ga_ls8c_ard_3-2-1_092089_2022-04-10_final
2022-04-12 09:22:07	ga_ls8c_ard_3-2-1_090089_2022-04-11_final
2022-04-17 09:40:16	ga_ls8c_ard_3-2-1_093088_2022-04-17_final
2022-04-19 09:28:18	ga_ls8c_ard_3-2-1_091089_2022-04-18_final
2022-04-21 09:15:56	ga_ls8c_ard_3-2-1_089089_2022-04-20_final
2022-04-26 09:34:26	ga_ls8c_ard_3-2-1_092089_2022-04-26_final
2022-04-28 09:21:39	ga_ls8c_ard_3-2-1_090088_2022-04-27_final
2022-04-28 09:22:03	ga_ls8c_ard_3-2-1_090089_2022-04-27_final
2022-05-05 09:28:18	ga_ls8c_ard_3-2-1_091089_2022-05-04_final
2023-03-21 09:28:21	ga_ls8c_ard_3-2-1_091089_2023-03-20_final
2023-03-23 09:15:57	ga_ls8c_ard_3-2-1_089089_2023-03-22_final
2023-04-24 09:15:37	ga_ls8c_ard_3-2-1_089089_2023-04-23_final
2024-01-19 09:28:34	ga_ls8c_ard_3-2-1_091089_2024-01-18_final
2024-02-20 09:28:32	ga_ls8c_ard_3-2-1_091089_2024-02-19_final
2024-02-22 09:16:10	ga_ls8c_ard_3-2-1_089089_2024-02-21_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