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
2019-04-06 10:41:33	ga_ls8c_ard_3-1-0_104072_2019-04-06_final
2019-05-08 10:41:31	ga_ls8c_ard_3-0-0_104072_2019-05-08_final
2019-05-24 10:41:41	ga_ls8c_ard_3-0-0_104072_2019-05-24_final
2019-06-09 10:41:49	ga_ls8c_ard_3-0-0_104072_2019-06-09_final
2019-06-25 10:41:54	ga_ls8c_ard_3-1-0_104072_2019-06-25_final
2019-07-11 10:41:58	ga_ls8c_ard_3-1-0_104072_2019-07-11_final
2019-07-27 10:42:02	ga_ls8c_ard_3-1-0_104072_2019-07-27_final
2019-08-12 10:42:09	ga_ls8c_ard_3-1-0_104072_2019-08-12_final
2019-08-28 10:42:13	ga_ls8c_ard_3-1-0_104072_2019-08-28_final
2019-09-13 10:42:17	ga_ls8c_ard_3-1-0_104072_2019-09-13_final
2019-09-29 10:42:22	ga_ls8c_ard_3-1-0_104072_2019-09-29_final
2019-10-31 10:42:25	ga_ls8c_ard_3-1-0_104072_2019-10-31_final
2019-11-16 10:42:22	ga_ls8c_ard_3-1-0_104072_2019-11-16_final
2019-12-02 10:42:21	ga_ls8c_ard_3-1-0_104072_2019-12-02_final
2020-01-19 10:42:11	ga_ls8c_ard_3-1-0_104072_2020-01-19_final
2020-02-04 10:42:05	ga_ls8c_ard_3-1-0_104072_2020-02-04_final
2020-03-07 10:41:57	ga_ls8c_ard_3-1-0_104072_2020-03-07_final
2020-03-23 10:41:49	ga_ls8c_ard_3-1-0_104072_2020-03-23_final
2020-04-08 10:41:40	ga_ls8c_ard_3-1-0_104072_2020-04-08_final
2020-04-24 10:41:33	ga_ls8c_ard_3-1-0_104072_2020-04-24_final
2020-05-10 10:41:25	ga_ls8c_ard_3-1-0_104072_2020-05-10_final
2020-05-26 10:41:29	ga_ls8c_ard_3-1-0_104072_2020-05-26_final
2020-06-11 10:41:38	ga_ls8c_ard_3-1-0_104072_2020-06-11_final
2020-06-27 10:41:46	ga_ls8c_ard_3-1-0_104072_2020-06-27_final
2020-07-13 10:41:53	ga_ls8c_ard_3-1-0_104072_2020-07-13_final
2020-07-29 10:41:58	ga_ls8c_ard_3-1-0_104072_2020-07-29_final
2020-08-14 10:42:01	ga_ls8c_ard_3-1-0_104072_2020-08-14_final
2020-08-30 10:42:10	ga_ls8c_ard_3-1-0_104072_2020-08-30_final
2020-09-15 10:42:16	ga_ls8c_ard_3-1-0_104072_2020-09-15_final
2020-10-01 10:42:20	ga_ls8c_ard_3-1-0_104072_2020-10-01_final
2020-12-04 10:42:23	ga_ls8c_ard_3-1-0_104072_2020-12-04_final
2021-03-10 10:41:56	ga_ls8c_ard_3-2-0_104072_2021-03-10_final
2021-03-26 10:41:49	ga_ls8c_ard_3-2-0_104072_2021-03-26_final
2021-04-11 10:41:45	ga_ls8c_ard_3-2-0_104072_2021-04-11_final
2021-04-27 10:41:37	ga_ls8c_ard_3-2-0_104072_2021-04-27_final
2021-05-13 10:41:35	ga_ls8c_ard_3-2-0_104072_2021-05-13_final
2021-05-29 10:41:45	ga_ls8c_ard_3-2-0_104072_2021-05-29_final
2021-06-14 10:41:51	ga_ls8c_ard_3-2-0_104072_2021-06-14_final
2021-06-30 10:41:55	ga_ls8c_ard_3-2-0_104072_2021-06-30_final
2021-07-16 10:41:56	ga_ls8c_ard_3-2-0_104072_2021-07-16_final
2021-08-01 10:42:05	ga_ls8c_ard_3-2-0_104072_2021-08-01_final
2021-08-17 10:42:11	ga_ls8c_ard_3-2-0_104072_2021-08-17_final
2021-09-02 10:42:15	ga_ls8c_ard_3-2-0_104072_2021-09-02_final
2021-09-18 10:42:19	ga_ls8c_ard_3-2-0_104072_2021-09-18_final
2021-10-04 10:42:24	ga_ls8c_ard_3-2-0_104072_2021-10-04_final
2021-10-20 10:42:27	ga_ls8c_ard_3-2-0_104072_2021-10-20_final
2021-11-05 10:42:26	ga_ls8c_ard_3-2-0_104072_2021-11-05_final
2021-11-21 10:42:22	ga_ls8c_ard_3-2-0_104072_2021-11-21_final
2021-12-07 10:42:23	ga_ls8c_ard_3-2-1_104072_2021-12-07_final
2021-12-23 10:42:20	ga_ls8c_ard_3-2-1_104072_2021-12-23_final
2022-01-08 10:42:16	ga_ls8c_ard_3-2-1_104072_2022-01-08_final
2022-01-24 10:42:11	ga_ls8c_ard_3-2-1_104072_2022-01-24_final
2022-02-09 10:42:08	ga_ls8c_ard_3-2-1_104072_2022-02-09_final
2022-02-25 10:42:03	ga_ls8c_ard_3-2-1_104072_2022-02-25_final
2022-03-13 10:41:59	ga_ls8c_ard_3-2-1_104072_2022-03-13_final
2022-03-29 10:41:46	ga_ls8c_ard_3-2-1_104072_2022-03-29_final
2022-04-14 10:41:52	ga_ls8c_ard_3-2-1_104072_2022-04-14_final
2022-04-30 10:41:48	ga_ls8c_ard_3-2-1_104072_2022-04-30_final
2022-05-16 10:41:57	ga_ls8c_ard_3-2-1_104072_2022-05-16_final
2022-06-01 10:42:01	ga_ls8c_ard_3-2-1_104072_2022-06-01_final
2022-06-17 10:42:13	ga_ls8c_ard_3-2-1_104072_2022-06-17_final
2022-07-03 10:42:16	ga_ls8c_ard_3-2-1_104072_2022-07-03_final
2022-07-19 10:42:18	ga_ls8c_ard_3-2-1_104072_2022-07-19_final
2022-08-04 10:42:29	ga_ls8c_ard_3-2-1_104072_2022-08-04_final
2022-09-05 10:42:34	ga_ls8c_ard_3-2-1_104072_2022-09-05_final
2022-09-21 10:42:40	ga_ls8c_ard_3-2-1_104072_2022-09-21_final
2022-10-07 10:42:37	ga_ls8c_ard_3-2-1_104072_2022-10-07_final
2022-10-23 10:42:37	ga_ls8c_ard_3-2-1_104072_2022-10-23_final
2022-11-08 10:42:39	ga_ls8c_ard_3-2-1_104072_2022-11-08_final
2022-11-24 10:42:34	ga_ls8c_ard_3-2-1_104072_2022-11-24_final
2022-12-10 10:42:34	ga_ls8c_ard_3-2-1_104072_2022-12-10_final
2022-12-26 10:42:25	ga_ls8c_ard_3-2-1_104072_2022-12-26_final
2023-01-11 10:42:24	ga_ls8c_ard_3-2-1_104072_2023-01-11_final
2023-02-12 10:42:20	ga_ls8c_ard_3-2-1_104072_2023-02-12_final
2023-02-28 10:42:05	ga_ls8c_ard_3-2-1_104072_2023-02-28_final
2023-03-16 10:41:59	ga_ls8c_ard_3-2-1_104072_2023-03-16_final
2023-04-01 10:41:48	ga_ls8c_ard_3-2-1_104072_2023-04-01_final
2023-04-17 10:41:34	ga_ls8c_ard_3-2-1_104072_2023-04-17_final
2023-05-03 10:41:29	ga_ls8c_ard_3-2-1_104072_2023-05-03_final
2023-05-19 10:41:17	ga_ls8c_ard_3-2-1_104072_2023-05-19_final
2023-06-04 10:41:22	ga_ls8c_ard_3-2-1_104072_2023-06-04_final
2023-06-20 10:41:30	ga_ls8c_ard_3-2-1_104072_2023-06-20_final
2023-07-06 10:41:41	ga_ls8c_ard_3-2-1_104072_2023-07-06_final
2023-07-22 10:41:45	ga_ls8c_ard_3-2-1_104072_2023-07-22_final
2023-08-07 10:41:53	ga_ls8c_ard_3-2-1_104072_2023-08-07_final
2023-08-23 10:42:01	ga_ls8c_ard_3-2-1_104072_2023-08-23_final
2023-09-08 10:42:00	ga_ls8c_ard_3-2-1_104072_2023-09-08_final
2023-09-24 10:42:06	ga_ls8c_ard_3-2-1_104072_2023-09-24_final
2023-10-10 10:42:11	ga_ls8c_ard_3-2-1_104072_2023-10-10_final
2023-10-26 10:42:14	ga_ls8c_ard_3-2-1_104072_2023-10-26_final
2023-11-11 10:42:10	ga_ls8c_ard_3-2-1_104072_2023-11-11_final
2023-11-27 10:42:16	ga_ls8c_ard_3-2-1_104072_2023-11-27_final
2023-12-13 10:42:11	ga_ls8c_ard_3-2-1_104072_2023-12-13_final
2023-12-29 10:42:12	ga_ls8c_ard_3-2-1_104072_2023-12-29_final
2024-01-14 10:42:09	ga_ls8c_ard_3-2-1_104072_2024-01-14_final
2024-01-30 10:42:04	ga_ls8c_ard_3-2-1_104072_2024-01-30_final
2024-02-15 10:42:05	ga_ls8c_ard_3-2-1_104072_2024-02-15_final
2024-03-02 10:41:59	ga_ls8c_ard_3-2-1_104072_2024-03-02_final
2024-03-18 10:41:49	ga_ls8c_ard_3-2-1_104072_2024-03-18_final
2024-04-03 10:41:38	ga_ls8c_ard_3-2-1_104072_2024-04-03_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