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
2015-12-15 09:50:43	ga_ls8c_ard_3-0-0_096067_2015-12-15_final
2015-12-31 09:50:42	ga_ls8c_ard_3-0-0_096067_2015-12-31_final
2016-04-21 09:50:08	ga_ls8c_ard_3-0-0_096067_2016-04-21_final
2017-01-02 09:50:48	ga_ls8c_ard_3-0-0_096067_2017-01-02_final
2017-01-18 09:50:44	ga_ls8c_ard_3-0-0_096067_2017-01-18_final
2017-03-23 09:50:13	ga_ls8c_ard_3-0-0_096067_2017-03-23_final
2017-05-10 09:49:57	ga_ls8c_ard_3-0-0_096067_2017-05-10_final
2017-08-14 09:50:38	ga_ls8c_ard_3-0-0_096067_2017-08-14_final
2017-08-30 09:50:41	ga_ls8c_ard_3-0-0_096067_2017-08-30_final
2017-09-15 09:50:42	ga_ls8c_ard_3-0-0_096067_2017-09-15_final
2017-10-01 09:50:49	ga_ls8c_ard_3-0-0_096067_2017-10-01_final
2017-10-17 09:50:53	ga_ls8c_ard_3-0-0_096067_2017-10-17_final
2017-11-02 09:50:53	ga_ls8c_ard_3-0-0_096067_2017-11-02_final
2017-11-18 09:50:49	ga_ls8c_ard_3-0-0_096067_2017-11-18_final
2017-12-04 09:50:44	ga_ls8c_ard_3-0-0_096067_2017-12-04_final
2017-12-20 09:50:47	ga_ls8c_ard_3-0-0_096067_2017-12-20_final
2018-01-05 09:50:43	ga_ls8c_ard_3-0-0_096067_2018-01-05_final
2018-01-21 09:50:35	ga_ls8c_ard_3-0-0_096067_2018-01-21_final
2018-02-06 09:50:27	ga_ls8c_ard_3-0-0_096067_2018-02-06_final
2018-02-22 09:50:21	ga_ls8c_ard_3-0-0_096067_2018-02-22_final
2018-03-10 09:50:12	ga_ls8c_ard_3-0-0_096067_2018-03-10_final
2018-03-26 09:50:05	ga_ls8c_ard_3-0-0_096067_2018-03-26_final
2018-04-11 09:49:57	ga_ls8c_ard_3-0-0_096067_2018-04-11_final
2018-04-27 09:49:48	ga_ls8c_ard_3-0-0_096067_2018-04-27_final
2018-05-13 09:49:38	ga_ls8c_ard_3-0-0_096067_2018-05-13_final
2018-05-29 09:49:25	ga_ls8c_ard_3-0-0_096067_2018-05-29_final
2018-06-14 09:49:28	ga_ls8c_ard_3-0-0_096067_2018-06-14_final
2018-06-30 09:49:38	ga_ls8c_ard_3-0-0_096067_2018-06-30_final
2018-07-16 09:49:46	ga_ls8c_ard_3-0-0_096067_2018-07-16_final
2018-08-01 09:49:53	ga_ls8c_ard_3-0-0_096067_2018-08-01_final
2018-08-17 09:50:02	ga_ls8c_ard_3-0-0_096067_2018-08-17_final
2018-09-02 09:50:09	ga_ls8c_ard_3-0-0_096067_2018-09-02_final
2018-09-18 09:50:13	ga_ls8c_ard_3-0-0_096067_2018-09-18_final
2018-10-04 09:50:21	ga_ls8c_ard_3-0-0_096067_2018-10-04_final
2018-10-20 09:50:27	ga_ls8c_ard_3-0-0_096067_2018-10-20_final
2018-11-05 09:50:31	ga_ls8c_ard_3-0-0_096067_2018-11-05_final
2018-11-21 09:50:31	ga_ls8c_ard_3-0-0_096067_2018-11-21_final
2018-12-07 09:50:29	ga_ls8c_ard_3-0-0_096067_2018-12-07_final
2018-12-23 09:50:28	ga_ls8c_ard_3-0-0_096067_2018-12-23_final
2019-01-08 09:50:27	ga_ls8c_ard_3-0-0_096067_2019-01-08_final
2019-01-24 09:50:23	ga_ls8c_ard_3-0-0_096067_2019-01-24_final
2019-02-09 09:50:21	ga_ls8c_ard_3-0-0_096067_2019-02-09_final
2019-02-25 09:50:18	ga_ls8c_ard_3-0-0_096067_2019-02-25_final
2019-03-13 09:50:12	ga_ls8c_ard_3-1-0_096067_2019-03-13_final
2019-03-29 09:50:09	ga_ls8c_ard_3-1-0_096067_2019-03-29_final
2019-04-14 09:50:04	ga_ls8c_ard_3-1-0_096067_2019-04-14_final
2019-04-30 09:50:00	ga_ls8c_ard_3-0-0_096067_2019-04-30_final
2019-05-16 09:50:10	ga_ls8c_ard_3-0-0_096067_2019-05-16_final
2019-06-01 09:50:19	ga_ls8c_ard_3-0-0_096067_2019-06-01_final
2019-06-17 09:50:25	ga_ls8c_ard_3-1-0_096067_2019-06-17_final
2019-07-03 09:50:30	ga_ls8c_ard_3-1-0_096067_2019-07-03_final
2019-07-19 09:50:33	ga_ls8c_ard_3-1-0_096067_2019-07-19_final
2019-08-04 09:50:40	ga_ls8c_ard_3-1-0_096067_2019-08-04_final
2019-08-20 09:50:45	ga_ls8c_ard_3-1-0_096067_2019-08-20_final
2019-09-05 09:50:48	ga_ls8c_ard_3-1-0_096067_2019-09-05_final
2019-09-21 09:50:54	ga_ls8c_ard_3-1-0_096067_2019-09-21_final
2019-10-07 09:50:58	ga_ls8c_ard_3-1-0_096067_2019-10-07_final
2019-10-23 09:50:59	ga_ls8c_ard_3-1-0_096067_2019-10-23_final
2019-11-08 09:50:58	ga_ls8c_ard_3-1-0_096067_2019-11-08_final
2019-11-24 09:50:54	ga_ls8c_ard_3-1-0_096067_2019-11-24_final
2019-12-10 09:50:54	ga_ls8c_ard_3-1-0_096067_2019-12-10_final
2019-12-26 09:50:50	ga_ls8c_ard_3-1-0_096067_2019-12-26_final
2020-01-11 09:50:47	ga_ls8c_ard_3-1-0_096067_2020-01-11_final
2020-01-27 09:50:42	ga_ls8c_ard_3-1-0_096067_2020-01-27_final
2020-02-12 09:50:38	ga_ls8c_ard_3-1-0_096067_2020-02-12_final
2020-02-28 09:50:34	ga_ls8c_ard_3-1-0_096067_2020-02-28_final
2020-03-15 09:50:27	ga_ls8c_ard_3-1-0_096067_2020-03-15_final
2020-03-31 09:50:18	ga_ls8c_ard_3-1-0_096067_2020-03-31_final
2020-04-16 09:50:11	ga_ls8c_ard_3-1-0_096067_2020-04-16_final
2020-05-02 09:50:03	ga_ls8c_ard_3-1-0_096067_2020-05-02_final
2020-05-18 09:50:01	ga_ls8c_ard_3-1-0_096067_2020-05-18_final
2020-06-03 09:50:07	ga_ls8c_ard_3-1-0_096067_2020-06-03_final
2020-06-19 09:50:16	ga_ls8c_ard_3-1-0_096067_2020-06-19_final
2020-07-05 09:50:24	ga_ls8c_ard_3-1-0_096067_2020-07-05_final
2020-07-21 09:50:29	ga_ls8c_ard_3-1-0_096067_2020-07-21_final
2020-08-06 09:50:33	ga_ls8c_ard_3-1-0_096067_2020-08-06_final
2020-08-22 09:50:40	ga_ls8c_ard_3-1-0_096067_2020-08-22_final
2020-09-07 09:50:47	ga_ls8c_ard_3-1-0_096067_2020-09-07_final
2020-09-23 09:50:52	ga_ls8c_ard_3-1-0_096067_2020-09-23_final
2020-10-09 09:50:55	ga_ls8c_ard_3-1-0_096067_2020-10-09_final
2020-10-25 09:50:55	ga_ls8c_ard_3-1-0_096067_2020-10-25_final
2020-11-26 09:50:55	ga_ls8c_ard_3-1-0_096067_2020-11-26_final
2020-12-12 09:50:56	ga_ls8c_ard_3-1-0_096067_2020-12-12_final
2021-01-13 09:50:47	ga_ls8c_ard_3-2-0_096067_2021-01-13_final
2021-01-29 09:50:43	ga_ls8c_ard_3-2-0_096067_2021-01-29_final
2021-03-18 09:50:25	ga_ls8c_ard_3-2-0_096067_2021-03-18_final
2021-04-03 09:50:21	ga_ls8c_ard_3-2-0_096067_2021-04-03_final
2021-04-19 09:50:15	ga_ls8c_ard_3-2-0_096067_2021-04-19_final
2021-05-05 09:50:05	ga_ls8c_ard_3-2-0_096067_2021-05-05_final
2021-05-21 09:50:14	ga_ls8c_ard_3-2-0_096067_2021-05-21_final
2021-06-06 09:50:22	ga_ls8c_ard_3-2-0_096067_2021-06-06_final
2021-06-22 09:50:27	ga_ls8c_ard_3-2-0_096067_2021-06-22_final
2021-07-08 09:50:30	ga_ls8c_ard_3-2-0_096067_2021-07-08_final
2021-07-24 09:50:35	ga_ls8c_ard_3-2-0_096067_2021-07-24_final
2021-08-09 09:50:42	ga_ls8c_ard_3-2-0_096067_2021-08-09_final
2021-08-25 09:50:47	ga_ls8c_ard_3-2-0_096067_2021-08-25_final
2021-09-10 09:50:51	ga_ls8c_ard_3-2-0_096067_2021-09-10_final
2021-09-26 09:50:55	ga_ls8c_ard_3-2-0_096067_2021-09-26_final
2021-10-12 09:51:00	ga_ls8c_ard_3-2-0_096067_2021-10-12_final
2021-10-28 09:51:01	ga_ls8c_ard_3-2-0_096067_2021-10-28_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