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
2015-12-28 09:23:00	ga_ls8c_ard_3-0-0_091075_2015-12-27_final
2016-01-29 09:22:57	ga_ls8c_ard_3-0-0_091075_2016-01-28_final
2016-05-20 09:22:28	ga_ls8c_ard_3-0-0_091075_2016-05-19_final
2016-10-27 09:23:14	ga_ls8c_ard_3-0-0_091075_2016-10-26_final
2017-03-20 09:22:33	ga_ls8c_ard_3-0-0_091075_2017-03-19_final
2017-04-21 09:22:16	ga_ls8c_ard_3-0-0_091075_2017-04-20_final
2017-08-11 09:22:54	ga_ls8c_ard_3-0-0_091075_2017-08-10_final
2017-10-30 09:23:11	ga_ls8c_ard_3-0-0_091075_2017-10-29_final
2017-11-15 09:23:08	ga_ls8c_ard_3-0-0_091075_2017-11-14_final
2017-12-01 09:23:01	ga_ls8c_ard_3-0-0_091075_2017-11-30_final
2017-12-17 09:23:04	ga_ls8c_ard_3-0-0_091075_2017-12-16_final
2018-01-18 09:22:54	ga_ls8c_ard_3-0-0_091075_2018-01-17_final
2018-02-03 09:22:45	ga_ls8c_ard_3-0-0_091075_2018-02-02_final
2018-05-10 09:21:57	ga_ls8c_ard_3-0-0_091075_2018-05-09_final
2018-06-11 09:21:43	ga_ls8c_ard_3-0-0_091075_2018-06-10_final
2018-06-27 09:21:54	ga_ls8c_ard_3-0-0_091075_2018-06-26_final
2018-07-13 09:22:02	ga_ls8c_ard_3-0-0_091075_2018-07-12_final
2018-08-30 09:22:25	ga_ls8c_ard_3-0-0_091075_2018-08-29_final
2018-10-17 09:22:44	ga_ls8c_ard_3-0-0_091075_2018-10-16_final
2018-12-20 09:22:45	ga_ls8c_ard_3-0-0_091075_2018-12-19_final
2019-06-30 09:22:47	ga_ls8c_ard_3-1-0_091075_2019-06-29_final
2019-07-16 09:22:49	ga_ls8c_ard_3-1-0_091075_2019-07-15_final
2019-08-01 09:22:56	ga_ls8c_ard_3-1-0_091075_2019-07-31_final
2020-08-19 09:22:56	ga_ls8c_ard_3-1-0_091075_2020-08-18_final
2020-12-09 09:23:14	ga_ls8c_ard_3-1-0_091075_2020-12-08_final
2020-12-25 09:23:12	ga_ls8c_ard_3-2-0_091075_2020-12-24_final
2021-01-10 09:23:06	ga_ls8c_ard_3-2-0_091075_2021-01-09_final
2021-01-26 09:23:01	ga_ls8c_ard_3-2-0_091075_2021-01-25_final
2021-02-11 09:22:59	ga_ls8c_ard_3-2-0_091075_2021-02-10_final
2021-02-27 09:22:53	ga_ls8c_ard_3-2-0_091075_2021-02-26_final
2021-03-15 09:22:44	ga_ls8c_ard_3-2-0_091075_2021-03-14_final
2021-03-31 09:22:40	ga_ls8c_ard_3-2-0_091075_2021-03-30_final
2021-04-16 09:22:34	ga_ls8c_ard_3-2-0_091075_2021-04-15_final
2021-05-02 09:22:25	ga_ls8c_ard_3-2-0_091075_2021-05-01_final
2021-05-18 09:22:30	ga_ls8c_ard_3-2-0_091075_2021-05-17_final
2021-06-03 09:22:38	ga_ls8c_ard_3-2-0_091075_2021-06-02_final
2021-06-19 09:22:44	ga_ls8c_ard_3-2-0_091075_2021-06-18_final
2021-07-05 09:22:47	ga_ls8c_ard_3-2-0_091075_2021-07-04_final
2021-07-21 09:22:50	ga_ls8c_ard_3-2-0_091075_2021-07-20_final
2021-08-06 09:22:58	ga_ls8c_ard_3-2-0_091075_2021-08-05_final
2021-08-22 09:23:03	ga_ls8c_ard_3-2-0_091075_2021-08-21_final
2021-09-07 09:23:08	ga_ls8c_ard_3-2-0_091075_2021-09-06_final
2021-09-23 09:23:11	ga_ls8c_ard_3-2-0_091075_2021-09-22_final
2021-10-09 09:23:17	ga_ls8c_ard_3-2-0_091075_2021-10-08_final
2021-10-25 09:23:19	ga_ls8c_ard_3-2-0_091075_2021-10-24_final
2021-11-10 09:23:16	ga_ls8c_ard_3-2-0_091075_2021-11-09_final
2021-11-26 09:23:14	ga_ls8c_ard_3-2-0_091075_2021-11-25_final
2021-12-12 09:23:14	ga_ls8c_ard_3-2-1_091075_2021-12-11_final
2021-12-28 09:23:09	ga_ls8c_ard_3-2-1_091075_2021-12-27_final
2022-01-13 09:23:06	ga_ls8c_ard_3-2-1_091075_2022-01-12_final
2022-01-29 09:23:01	ga_ls8c_ard_3-2-1_091075_2022-01-28_final
2022-02-14 09:22:58	ga_ls8c_ard_3-2-1_091075_2022-02-13_final
2022-03-02 09:22:54	ga_ls8c_ard_3-2-1_091075_2022-03-01_final
2022-03-18 09:22:47	ga_ls8c_ard_3-2-1_091075_2022-03-17_final
2022-04-03 09:22:37	ga_ls8c_ard_3-2-1_091075_2022-04-02_final
2022-04-19 09:22:42	ga_ls8c_ard_3-2-1_091075_2022-04-18_final
2022-05-05 09:22:43	ga_ls8c_ard_3-2-1_091075_2022-05-04_final
2022-05-21 09:22:49	ga_ls8c_ard_3-2-1_091075_2022-05-20_final
2022-06-06 09:22:57	ga_ls8c_ard_3-2-1_091075_2022-06-05_final
2022-06-22 09:23:06	ga_ls8c_ard_3-2-1_091075_2022-06-21_final
2022-07-08 09:23:07	ga_ls8c_ard_3-2-1_091075_2022-07-07_final
2022-07-24 09:23:13	ga_ls8c_ard_3-2-1_091075_2022-07-23_final
2022-08-09 09:23:22	ga_ls8c_ard_3-2-1_091075_2022-08-08_final
2022-08-25 09:23:25	ga_ls8c_ard_3-2-1_091075_2022-08-24_final
2022-09-10 09:23:29	ga_ls8c_ard_3-2-1_091075_2022-09-09_final
2022-09-26 09:23:32	ga_ls8c_ard_3-2-1_091075_2022-09-25_final
2022-10-12 09:23:24	ga_ls8c_ard_3-2-1_091075_2022-10-11_final
2022-10-28 09:23:31	ga_ls8c_ard_3-2-1_091075_2022-10-27_final
2022-11-13 09:23:27	ga_ls8c_ard_3-2-1_091075_2022-11-12_final
2022-11-29 09:23:26	ga_ls8c_ard_3-2-1_091075_2022-11-28_final
2022-12-15 09:23:22	ga_ls8c_ard_3-2-1_091075_2022-12-14_final
2022-12-31 09:23:18	ga_ls8c_ard_3-2-1_091075_2022-12-30_final
2023-01-16 09:23:11	ga_ls8c_ard_3-2-1_091075_2023-01-15_final
2023-02-01 09:23:16	ga_ls8c_ard_3-2-1_091075_2023-01-31_final
2023-02-17 09:23:07	ga_ls8c_ard_3-2-1_091075_2023-02-16_final
2023-03-05 09:22:54	ga_ls8c_ard_3-2-1_091075_2023-03-04_final
2023-03-21 09:22:46	ga_ls8c_ard_3-2-1_091075_2023-03-20_final
2023-04-06 09:22:34	ga_ls8c_ard_3-2-1_091075_2023-04-05_final
2023-05-08 09:22:15	ga_ls8c_ard_3-2-1_091075_2023-05-07_final
2023-05-24 09:22:11	ga_ls8c_ard_3-2-1_091075_2023-05-23_final
2023-06-09 09:22:17	ga_ls8c_ard_3-2-1_091075_2023-06-08_final
2023-06-25 09:22:23	ga_ls8c_ard_3-2-1_091075_2023-06-24_final
2023-07-11 09:22:34	ga_ls8c_ard_3-2-1_091075_2023-07-10_final
2023-07-27 09:22:40	ga_ls8c_ard_3-2-1_091075_2023-07-26_final
2023-08-12 09:22:45	ga_ls8c_ard_3-2-1_091075_2023-08-11_final
2023-08-28 09:22:53	ga_ls8c_ard_3-2-1_091075_2023-08-27_final
2023-09-13 09:22:55	ga_ls8c_ard_3-2-1_091075_2023-09-12_final
2023-09-29 09:23:00	ga_ls8c_ard_3-2-1_091075_2023-09-28_final
2023-10-15 09:23:03	ga_ls8c_ard_3-2-1_091075_2023-10-14_final
2023-10-15 09:23:03	ga_ls8c_ard_3-2-1_091075_2023-10-14_nrt
2023-10-31 09:23:06	ga_ls8c_ard_3-2-1_091075_2023-10-30_final
2023-11-16 09:23:05	ga_ls8c_ard_3-2-1_091075_2023-11-15_final
2023-12-02 09:23:04	ga_ls8c_ard_3-2-1_091075_2023-12-01_final
2023-12-18 09:23:05	ga_ls8c_ard_3-2-1_091075_2023-12-17_final
2024-01-03 09:22:59	ga_ls8c_ard_3-2-1_091075_2024-01-02_final
2024-01-19 09:22:59	ga_ls8c_ard_3-2-1_091075_2024-01-18_final
2024-02-04 09:22:58	ga_ls8c_ard_3-2-1_091075_2024-02-03_final
2024-02-20 09:22:57	ga_ls8c_ard_3-2-1_091075_2024-02-19_final
2024-03-07 09:22:44	ga_ls8c_ard_3-2-1_091075_2024-03-06_final
2024-03-23 09:22:36	ga_ls8c_ard_3-2-1_091075_2024-03-22_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