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
2016-12-15 10:10:48	ga_ls8c_ard_3-0-0_098086_2016-12-15_final
2016-12-31 10:10:46	ga_ls8c_ard_3-0-0_098086_2016-12-31_final
2017-01-16 10:10:41	ga_ls8c_ard_3-0-0_098086_2017-01-16_final
2017-02-01 10:10:34	ga_ls8c_ard_3-0-0_098086_2017-02-01_final
2017-02-17 10:10:28	ga_ls8c_ard_3-0-0_098086_2017-02-17_final
2017-03-05 10:10:21	ga_ls8c_ard_3-0-0_098086_2017-03-05_final
2017-03-21 10:10:11	ga_ls8c_ard_3-0-0_098086_2017-03-21_final
2017-04-06 10:10:04	ga_ls8c_ard_3-0-0_098086_2017-04-06_final
2017-04-22 10:09:55	ga_ls8c_ard_3-0-0_098086_2017-04-22_final
2017-05-08 10:09:52	ga_ls8c_ard_3-0-0_098086_2017-05-08_final
2017-06-25 10:10:17	ga_ls8c_ard_3-0-0_098086_2017-06-25_final
2017-07-11 10:10:20	ga_ls8c_ard_3-0-0_098086_2017-07-11_final
2017-07-27 10:10:27	ga_ls8c_ard_3-0-0_098086_2017-07-27_final
2017-08-28 10:10:38	ga_ls8c_ard_3-0-0_098086_2017-08-28_final
2017-09-29 10:10:45	ga_ls8c_ard_3-0-0_098086_2017-09-29_final
2017-10-15 10:10:49	ga_ls8c_ard_3-0-0_098086_2017-10-15_final
2017-10-31 10:10:50	ga_ls8c_ard_3-0-0_098086_2017-10-31_final
2017-11-16 10:10:46	ga_ls8c_ard_3-0-0_098086_2017-11-16_final
2017-12-02 10:10:41	ga_ls8c_ard_3-0-0_098086_2017-12-02_final
2017-12-18 10:10:43	ga_ls8c_ard_3-0-0_098086_2017-12-18_final
2018-01-03 10:10:40	ga_ls8c_ard_3-0-0_098086_2018-01-03_final
2018-01-19 10:10:33	ga_ls8c_ard_3-0-0_098086_2018-01-19_final
2018-02-20 10:10:18	ga_ls8c_ard_3-0-0_098086_2018-02-20_final
2018-03-08 10:10:10	ga_ls8c_ard_3-0-0_098086_2018-03-08_final
2018-03-24 10:10:02	ga_ls8c_ard_3-0-0_098086_2018-03-24_final
2018-04-09 10:09:54	ga_ls8c_ard_3-0-0_098086_2018-04-09_final
2018-04-25 10:09:45	ga_ls8c_ard_3-0-0_098086_2018-04-25_final
2018-05-11 10:09:36	ga_ls8c_ard_3-0-0_098086_2018-05-11_final
2018-05-27 10:09:23	ga_ls8c_ard_3-0-0_098086_2018-05-27_final
2018-06-12 10:09:23	ga_ls8c_ard_3-0-0_098086_2018-06-12_final
2018-06-28 10:09:33	ga_ls8c_ard_3-0-0_098086_2018-06-28_final
2018-07-30 10:09:48	ga_ls8c_ard_3-0-0_098086_2018-07-30_final
2018-08-15 10:09:58	ga_ls8c_ard_3-0-0_098086_2018-08-15_final
2018-09-16 10:10:09	ga_ls8c_ard_3-0-0_098086_2018-09-16_final
2018-10-02 10:10:17	ga_ls8c_ard_3-0-0_098086_2018-10-02_final
2018-10-18 10:10:23	ga_ls8c_ard_3-0-0_098086_2018-10-18_final
2018-11-03 10:10:27	ga_ls8c_ard_3-0-0_098086_2018-11-03_final
2018-11-19 10:10:28	ga_ls8c_ard_3-0-0_098086_2018-11-19_final
2018-12-05 10:10:26	ga_ls8c_ard_3-0-0_098086_2018-12-05_final
2018-12-21 10:10:24	ga_ls8c_ard_3-0-0_098086_2018-12-21_final
2019-01-06 10:10:24	ga_ls8c_ard_3-0-0_098086_2019-01-06_final
2019-01-22 10:10:20	ga_ls8c_ard_3-0-0_098086_2019-01-22_final
2019-02-07 10:10:18	ga_ls8c_ard_3-0-0_098086_2019-02-07_final
2019-02-23 10:10:15	ga_ls8c_ard_3-0-0_098086_2019-02-23_final
2019-03-11 10:10:09	ga_ls8c_ard_3-1-0_098086_2019-03-11_final
2019-03-27 10:10:06	ga_ls8c_ard_3-1-0_098086_2019-03-27_final
2019-04-12 10:10:01	ga_ls8c_ard_3-1-0_098086_2019-04-12_final
2019-04-28 10:09:56	ga_ls8c_ard_3-0-0_098086_2019-04-28_final
2019-05-14 10:10:05	ga_ls8c_ard_3-0-0_098086_2019-05-14_final
2019-05-30 10:10:15	ga_ls8c_ard_3-0-0_098086_2019-05-30_final
2019-06-15 10:10:21	ga_ls8c_ard_3-1-0_098086_2019-06-15_final
2019-07-01 10:10:26	ga_ls8c_ard_3-1-0_098086_2019-07-01_final
2019-07-17 10:10:29	ga_ls8c_ard_3-1-0_098086_2019-07-17_final
2019-08-02 10:10:35	ga_ls8c_ard_3-1-0_098086_2019-08-02_final
2019-08-18 10:10:41	ga_ls8c_ard_3-1-0_098086_2019-08-18_final
2019-09-03 10:10:44	ga_ls8c_ard_3-1-0_098086_2019-09-03_final
2019-09-19 10:10:50	ga_ls8c_ard_3-1-0_098086_2019-09-19_final
2019-10-05 10:10:54	ga_ls8c_ard_3-1-0_098086_2019-10-05_final
2019-10-21 10:10:56	ga_ls8c_ard_3-1-0_098086_2019-10-21_final
2019-11-06 10:10:55	ga_ls8c_ard_3-1-0_098086_2019-11-06_final
2019-11-22 10:10:51	ga_ls8c_ard_3-1-0_098086_2019-11-22_final
2019-12-08 10:10:51	ga_ls8c_ard_3-1-0_098086_2019-12-08_final
2019-12-24 10:10:48	ga_ls8c_ard_3-1-0_098086_2019-12-24_final
2020-01-09 10:10:44	ga_ls8c_ard_3-1-0_098086_2020-01-09_final
2020-01-25 10:10:40	ga_ls8c_ard_3-1-0_098086_2020-01-25_final
2020-02-10 10:10:35	ga_ls8c_ard_3-1-0_098086_2020-02-10_final
2020-02-26 10:10:31	ga_ls8c_ard_3-1-0_098086_2020-02-26_final
2020-03-13 10:10:24	ga_ls8c_ard_3-1-0_098086_2020-03-13_final
2020-03-29 10:10:15	ga_ls8c_ard_3-1-0_098086_2020-03-29_final
2020-04-14 10:10:08	ga_ls8c_ard_3-1-0_098086_2020-04-14_final
2020-04-30 10:10:00	ga_ls8c_ard_3-1-0_098086_2020-04-30_final
2020-05-16 10:09:57	ga_ls8c_ard_3-1-0_098086_2020-05-16_final
2020-06-01 10:10:02	ga_ls8c_ard_3-1-0_098086_2020-06-01_final
2020-06-17 10:10:12	ga_ls8c_ard_3-1-0_098086_2020-06-17_final
2020-07-03 10:10:19	ga_ls8c_ard_3-1-0_098086_2020-07-03_final
2020-07-19 10:10:25	ga_ls8c_ard_3-1-0_098086_2020-07-19_final
2020-08-04 10:10:29	ga_ls8c_ard_3-1-0_098086_2020-08-04_final
2020-09-05 10:10:43	ga_ls8c_ard_3-1-0_098086_2020-09-05_final
2020-09-21 10:10:48	ga_ls8c_ard_3-1-0_098086_2020-09-21_final
2020-10-07 10:10:51	ga_ls8c_ard_3-1-0_098086_2020-10-07_final
2020-10-23 10:10:52	ga_ls8c_ard_3-1-0_098086_2020-10-23_final
2020-12-10 10:10:53	ga_ls8c_ard_3-1-0_098086_2020-12-10_final
2021-01-11 10:10:44	ga_ls8c_ard_3-2-0_098086_2021-01-11_final
2021-01-27 10:10:40	ga_ls8c_ard_3-2-0_098086_2021-01-27_final
2021-03-16 10:10:22	ga_ls8c_ard_3-2-0_098086_2021-03-16_final
2021-04-01 10:10:18	ga_ls8c_ard_3-2-0_098086_2021-04-01_final
2021-04-17 10:10:12	ga_ls8c_ard_3-2-0_098086_2021-04-17_final
2021-05-03 10:10:03	ga_ls8c_ard_3-2-0_098086_2021-05-03_final
2021-05-19 10:10:09	ga_ls8c_ard_3-2-0_098086_2021-05-19_final
2021-06-04 10:10:18	ga_ls8c_ard_3-2-0_098086_2021-06-04_final
2021-06-20 10:10:23	ga_ls8c_ard_3-2-0_098086_2021-06-20_final
2021-07-06 10:10:26	ga_ls8c_ard_3-2-0_098086_2021-07-06_final
2021-07-22 10:10:30	ga_ls8c_ard_3-2-0_098086_2021-07-22_final
2021-08-07 10:10:38	ga_ls8c_ard_3-2-0_098086_2021-08-07_final
2021-08-23 10:10:43	ga_ls8c_ard_3-2-0_098086_2021-08-23_final
2021-09-08 10:10:48	ga_ls8c_ard_3-2-0_098086_2021-09-08_final
2021-09-24 10:10:50	ga_ls8c_ard_3-2-0_098086_2021-09-24_final
2021-10-10 10:10:56	ga_ls8c_ard_3-2-0_098086_2021-10-10_final
2021-10-26 10:10:58	ga_ls8c_ard_3-2-0_098086_2021-10-26_final
2021-11-11 10:10:55	ga_ls8c_ard_3-2-0_098086_2021-11-11_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