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
2019-03-18 11:51:35	ga_ls8c_ard_3-1-0_115077_2019-03-18_final
2019-04-03 11:51:32	ga_ls8c_ard_3-1-0_115077_2019-04-03_final
2019-04-19 11:51:26	ga_ls8c_ard_3-1-0_115077_2019-04-19_final
2019-06-06 11:51:46	ga_ls8c_ard_3-0-0_115077_2019-06-06_final
2019-06-22 11:51:52	ga_ls8c_ard_3-1-0_115077_2019-06-22_final
2019-07-24 11:52:00	ga_ls8c_ard_3-1-0_115077_2019-07-24_final
2019-08-09 11:52:06	ga_ls8c_ard_3-1-0_115077_2019-08-09_final
2019-08-25 11:52:11	ga_ls8c_ard_3-1-0_115077_2019-08-25_final
2019-09-10 11:52:15	ga_ls8c_ard_3-1-0_115077_2019-09-10_final
2019-09-26 11:52:20	ga_ls8c_ard_3-1-0_115077_2019-09-26_final
2019-10-12 11:52:23	ga_ls8c_ard_3-1-0_115077_2019-10-12_final
2019-10-28 11:52:24	ga_ls8c_ard_3-1-0_115077_2019-10-28_final
2019-11-13 11:52:22	ga_ls8c_ard_3-1-0_115077_2019-11-13_final
2019-11-29 11:52:19	ga_ls8c_ard_3-1-0_115077_2019-11-29_final
2019-12-15 11:52:18	ga_ls8c_ard_3-2-0_115077_2019-12-15_final
2019-12-31 11:52:14	ga_ls8c_ard_3-1-0_115077_2019-12-31_final
2020-01-16 11:52:10	ga_ls8c_ard_3-1-0_115077_2020-01-16_final
2020-02-01 11:52:05	ga_ls8c_ard_3-1-0_115077_2020-02-01_final
2020-03-04 11:51:57	ga_ls8c_ard_3-1-0_115077_2020-03-04_final
2020-04-05 11:51:40	ga_ls8c_ard_3-1-0_115077_2020-04-05_final
2020-05-07 11:51:24	ga_ls8c_ard_3-1-0_115077_2020-05-07_final
2020-05-23 11:51:27	ga_ls8c_ard_3-1-0_115077_2020-05-23_final
2020-06-08 11:51:35	ga_ls8c_ard_3-1-0_115077_2020-06-08_final
2020-07-26 11:51:56	ga_ls8c_ard_3-1-0_115077_2020-07-26_final
2020-08-11 11:51:59	ga_ls8c_ard_3-1-0_115077_2020-08-11_final
2020-08-27 11:52:07	ga_ls8c_ard_3-1-0_115077_2020-08-27_final
2020-09-28 11:52:18	ga_ls8c_ard_3-1-0_115077_2020-09-28_final
2020-11-15 11:52:17	ga_ls8c_ard_3-1-0_115077_2020-11-15_final
2021-01-02 11:52:17	ga_ls8c_ard_3-2-0_115077_2021-01-02_final
2021-01-18 11:52:09	ga_ls8c_ard_3-2-0_115077_2021-01-18_final
2021-02-03 11:52:08	ga_ls8c_ard_3-2-0_115077_2021-02-03_final
2021-02-19 11:52:04	ga_ls8c_ard_3-2-0_115077_2021-02-19_final
2021-03-07 11:51:56	ga_ls8c_ard_3-2-0_115077_2021-03-07_final
2021-03-23 11:51:49	ga_ls8c_ard_3-2-0_115077_2021-03-23_final
2021-04-08 11:51:44	ga_ls8c_ard_3-2-0_115077_2021-04-08_final
2021-04-24 11:51:37	ga_ls8c_ard_3-2-0_115077_2021-04-24_final
2021-05-10 11:51:32	ga_ls8c_ard_3-2-0_115077_2021-05-10_final
2021-05-26 11:51:42	ga_ls8c_ard_3-2-0_115077_2021-05-26_final
2021-06-11 11:51:49	ga_ls8c_ard_3-2-0_115077_2021-06-11_final
2021-06-27 11:51:53	ga_ls8c_ard_3-2-0_115077_2021-06-27_final
2021-07-13 11:51:55	ga_ls8c_ard_3-2-0_115077_2021-07-13_final
2021-07-29 11:52:02	ga_ls8c_ard_3-2-0_115077_2021-07-29_final
2021-08-14 11:52:09	ga_ls8c_ard_3-2-0_115077_2021-08-14_final
2021-08-30 11:52:13	ga_ls8c_ard_3-2-0_115077_2021-08-30_final
2021-09-15 11:52:17	ga_ls8c_ard_3-2-0_115077_2021-09-15_final
2021-10-01 11:52:22	ga_ls8c_ard_3-2-0_115077_2021-10-01_final
2021-10-17 11:52:26	ga_ls8c_ard_3-2-0_115077_2021-10-17_final
2021-11-02 11:52:26	ga_ls8c_ard_3-2-0_115077_2021-11-02_final
2021-12-04 11:52:22	ga_ls8c_ard_3-2-0_115077_2021-12-04_final
2021-12-20 11:52:20	ga_ls8c_ard_3-2-1_115077_2021-12-20_final
2022-01-05 11:52:15	ga_ls8c_ard_3-2-1_115077_2022-01-05_final
2022-01-21 11:52:12	ga_ls8c_ard_3-2-1_115077_2022-01-21_final
2022-02-06 11:52:08	ga_ls8c_ard_3-2-1_115077_2022-02-06_final
2022-02-22 11:52:02	ga_ls8c_ard_3-2-1_115077_2022-02-22_final
2022-03-10 11:51:59	ga_ls8c_ard_3-2-1_115077_2022-03-10_final
2022-03-26 11:51:48	ga_ls8c_ard_3-2-1_115077_2022-03-26_final
2022-04-11 11:51:49	ga_ls8c_ard_3-2-1_115077_2022-04-11_final
2022-04-27 11:51:46	ga_ls8c_ard_3-2-1_115077_2022-04-27_final
2022-05-13 11:51:55	ga_ls8c_ard_3-2-1_115077_2022-05-13_final
2022-05-29 11:51:57	ga_ls8c_ard_3-2-1_115077_2022-05-29_final
2022-06-30 11:52:15	ga_ls8c_ard_3-2-1_115077_2022-06-30_final
2022-07-16 11:52:13	ga_ls8c_ard_3-2-1_115077_2022-07-16_final
2022-08-01 11:52:26	ga_ls8c_ard_3-2-1_115077_2022-08-01_final
2022-08-17 11:52:32	ga_ls8c_ard_3-2-1_115077_2022-08-17_final
2022-09-02 11:52:32	ga_ls8c_ard_3-2-1_115077_2022-09-02_final
2022-09-18 11:52:39	ga_ls8c_ard_3-2-1_115077_2022-09-18_final
2022-10-04 11:52:37	ga_ls8c_ard_3-2-1_115077_2022-10-04_final
2022-10-20 11:52:34	ga_ls8c_ard_3-2-1_115077_2022-10-20_final
2022-11-05 11:52:39	ga_ls8c_ard_3-2-1_115077_2022-11-05_final
2022-11-21 11:52:32	ga_ls8c_ard_3-2-1_115077_2022-11-21_final
2022-12-07 11:52:33	ga_ls8c_ard_3-2-1_115077_2022-12-07_final
2022-12-23 11:52:23	ga_ls8c_ard_3-2-1_115077_2022-12-23_final
2023-01-08 11:52:24	ga_ls8c_ard_3-2-1_115077_2023-01-08_final
2023-01-24 11:52:22	ga_ls8c_ard_3-2-1_115077_2023-01-24_final
2023-02-09 11:52:21	ga_ls8c_ard_3-2-1_115077_2023-02-09_final
2023-02-25 11:52:03	ga_ls8c_ard_3-2-1_115077_2023-02-25_final
2023-03-13 11:51:59	ga_ls8c_ard_3-2-1_115077_2023-03-13_final
2023-03-29 11:51:49	ga_ls8c_ard_3-2-1_115077_2023-03-29_final
2023-04-14 11:51:34	ga_ls8c_ard_3-2-1_115077_2023-04-14_final
2023-04-30 11:51:29	ga_ls8c_ard_3-2-1_115077_2023-04-30_final
2023-05-16 11:51:16	ga_ls8c_ard_3-2-1_115077_2023-05-16_final
2023-06-01 11:51:19	ga_ls8c_ard_3-2-1_115077_2023-06-01_final
2023-06-17 11:51:28	ga_ls8c_ard_3-2-1_115077_2023-06-17_final
2023-07-03 11:51:38	ga_ls8c_ard_3-2-1_115077_2023-07-03_final
2023-07-19 11:51:42	ga_ls8c_ard_3-2-1_115077_2023-07-19_final
2023-08-04 11:51:52	ga_ls8c_ard_3-2-1_115077_2023-08-04_final
2023-08-20 11:51:58	ga_ls8c_ard_3-2-1_115077_2023-08-20_final
2023-09-05 11:51:58	ga_ls8c_ard_3-2-1_115077_2023-09-05_final
2023-09-21 11:52:04	ga_ls8c_ard_3-2-1_115077_2023-09-21_final
2023-10-07 11:52:08	ga_ls8c_ard_3-2-1_115077_2023-10-07_final
2023-10-23 11:52:11	ga_ls8c_ard_3-2-1_115077_2023-10-23_final
2023-11-08 11:52:09	ga_ls8c_ard_3-2-1_115077_2023-11-08_final
2023-11-24 11:52:15	ga_ls8c_ard_3-2-1_115077_2023-11-24_final
2023-12-10 11:52:08	ga_ls8c_ard_3-2-1_115077_2023-12-10_final
2023-12-26 11:52:12	ga_ls8c_ard_3-2-1_115077_2023-12-26_final
2024-01-11 11:52:07	ga_ls8c_ard_3-2-1_115077_2024-01-11_final
2024-01-27 11:52:00	ga_ls8c_ard_3-2-1_115077_2024-01-27_final
2024-02-12 11:52:06	ga_ls8c_ard_3-2-1_115077_2024-02-12_final
2024-02-28 11:52:00	ga_ls8c_ard_3-2-1_115077_2024-02-28_final
2024-03-15 11:51:50	ga_ls8c_ard_3-2-1_115077_2024-03-15_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