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
2018-05-28 10:49:50	ga_ls8c_ard_3-0-0_105079_2018-05-28_final
2018-06-13 10:49:52	ga_ls8c_ard_3-0-0_105079_2018-06-13_final
2018-06-29 10:50:02	ga_ls8c_ard_3-0-0_105079_2018-06-29_final
2019-02-08 10:50:45	ga_ls8c_ard_3-0-0_105079_2019-02-08_final
2019-04-13 10:50:28	ga_ls8c_ard_3-1-0_105079_2019-04-13_final
2019-04-29 10:50:24	ga_ls8c_ard_3-0-0_105079_2019-04-29_final
2019-08-19 10:51:09	ga_ls8c_ard_3-1-0_105079_2019-08-19_final
2019-09-20 10:51:18	ga_ls8c_ard_3-1-0_105079_2019-09-20_final
2020-02-27 10:50:59	ga_ls8c_ard_3-1-0_105079_2020-02-27_final
2020-03-14 10:50:52	ga_ls8c_ard_3-1-0_105079_2020-03-14_final
2020-03-30 10:50:43	ga_ls8c_ard_3-1-0_105079_2020-03-30_final
2020-04-15 10:50:36	ga_ls8c_ard_3-1-0_105079_2020-04-15_final
2020-05-01 10:50:28	ga_ls8c_ard_3-1-0_105079_2020-05-01_final
2020-05-17 10:50:25	ga_ls8c_ard_3-1-0_105079_2020-05-17_final
2020-06-02 10:50:30	ga_ls8c_ard_3-1-0_105079_2020-06-02_final
2020-06-18 10:50:40	ga_ls8c_ard_3-1-0_105079_2020-06-18_final
2020-07-04 10:50:48	ga_ls8c_ard_3-1-0_105079_2020-07-04_final
2020-07-20 10:50:54	ga_ls8c_ard_3-1-0_105079_2020-07-20_final
2020-08-05 10:50:57	ga_ls8c_ard_3-1-0_105079_2020-08-05_final
2020-08-21 10:51:04	ga_ls8c_ard_3-1-0_105079_2020-08-21_final
2020-09-06 10:51:11	ga_ls8c_ard_3-1-0_105079_2020-09-06_final
2020-09-22 10:51:17	ga_ls8c_ard_3-1-0_105079_2020-09-22_final
2020-10-08 10:51:20	ga_ls8c_ard_3-1-0_105079_2020-10-08_final
2020-10-24 10:51:20	ga_ls8c_ard_3-1-0_105079_2020-10-24_final
2020-11-25 10:51:20	ga_ls8c_ard_3-1-0_105079_2020-11-25_final
2020-12-11 10:51:21	ga_ls8c_ard_3-1-0_105079_2020-12-11_final
2020-12-27 10:51:18	ga_ls8c_ard_3-2-0_105079_2020-12-27_final
2021-01-12 10:51:12	ga_ls8c_ard_3-2-0_105079_2021-01-12_final
2021-01-28 10:51:08	ga_ls8c_ard_3-2-0_105079_2021-01-28_final
2021-02-13 10:51:05	ga_ls8c_ard_3-2-0_105079_2021-02-13_final
2021-03-01 10:50:59	ga_ls8c_ard_3-2-0_105079_2021-03-01_final
2021-03-17 10:50:50	ga_ls8c_ard_3-2-0_105079_2021-03-17_final
2021-04-02 10:50:46	ga_ls8c_ard_3-2-0_105079_2021-04-02_final
2021-04-18 10:50:40	ga_ls8c_ard_3-2-0_105079_2021-04-18_final
2021-05-04 10:50:30	ga_ls8c_ard_3-2-0_105079_2021-05-04_final
2021-05-20 10:50:38	ga_ls8c_ard_3-2-0_105079_2021-05-20_final
2021-06-05 10:50:46	ga_ls8c_ard_3-2-0_105079_2021-06-05_final
2021-06-21 10:50:52	ga_ls8c_ard_3-2-0_105079_2021-06-21_final
2021-07-07 10:50:54	ga_ls8c_ard_3-2-0_105079_2021-07-07_final
2021-07-23 10:50:59	ga_ls8c_ard_3-2-0_105079_2021-07-23_final
2021-08-08 10:51:06	ga_ls8c_ard_3-2-0_105079_2021-08-08_final
2021-08-24 10:51:11	ga_ls8c_ard_3-2-0_105079_2021-08-24_final
2021-09-09 10:51:16	ga_ls8c_ard_3-2-0_105079_2021-09-09_final
2021-09-25 10:51:19	ga_ls8c_ard_3-2-0_105079_2021-09-25_final
2021-10-11 10:51:24	ga_ls8c_ard_3-2-0_105079_2021-10-11_final
2021-10-27 10:51:26	ga_ls8c_ard_3-2-0_105079_2021-10-27_final
2021-11-12 10:51:22	ga_ls8c_ard_3-2-0_105079_2021-11-12_final
2021-11-28 10:51:21	ga_ls8c_ard_3-2-0_105079_2021-11-28_final
2021-12-14 10:51:21	ga_ls8c_ard_3-2-1_105079_2021-12-14_final
2021-12-30 10:51:15	ga_ls8c_ard_3-2-1_105079_2021-12-30_final
2022-01-15 10:51:13	ga_ls8c_ard_3-2-1_105079_2022-01-15_final
2022-01-31 10:51:08	ga_ls8c_ard_3-2-1_105079_2022-01-31_final
2022-02-16 10:51:04	ga_ls8c_ard_3-2-1_105079_2022-02-16_final
2022-03-04 10:51:01	ga_ls8c_ard_3-2-1_105079_2022-03-04_final
2022-03-20 10:50:53	ga_ls8c_ard_3-2-1_105079_2022-03-20_final
2022-04-05 10:50:46	ga_ls8c_ard_3-2-1_105079_2022-04-05_final
2022-04-21 10:50:49	ga_ls8c_ard_3-2-1_105079_2022-04-21_final
2022-05-07 10:50:52	ga_ls8c_ard_3-2-1_105079_2022-05-07_final
2022-05-23 10:50:56	ga_ls8c_ard_3-2-1_105079_2022-05-23_final
2022-06-08 10:51:05	ga_ls8c_ard_3-2-1_105079_2022-06-08_final
2022-06-24 10:51:14	ga_ls8c_ard_3-2-1_105079_2022-06-24_final
2022-07-10 10:51:14	ga_ls8c_ard_3-2-1_105079_2022-07-10_final
2022-07-26 10:51:22	ga_ls8c_ard_3-2-1_105079_2022-07-26_final
2022-08-11 10:51:30	ga_ls8c_ard_3-2-1_105079_2022-08-11_final
2022-08-27 10:51:32	ga_ls8c_ard_3-2-1_105079_2022-08-27_final
2022-09-12 10:51:37	ga_ls8c_ard_3-2-1_105079_2022-09-12_final
2022-09-28 10:51:39	ga_ls8c_ard_3-2-1_105079_2022-09-28_final
2022-10-14 10:51:29	ga_ls8c_ard_3-2-1_105079_2022-10-14_final
2022-10-30 10:51:38	ga_ls8c_ard_3-2-1_105079_2022-10-30_final
2022-11-15 10:51:33	ga_ls8c_ard_3-2-1_105079_2022-11-15_final
2022-12-01 10:51:34	ga_ls8c_ard_3-2-1_105079_2022-12-01_final
2022-12-17 10:51:28	ga_ls8c_ard_3-2-1_105079_2022-12-17_final
2023-01-02 10:51:25	ga_ls8c_ard_3-2-1_105079_2023-01-02_final
2023-01-18 10:51:16	ga_ls8c_ard_3-2-1_105079_2023-01-18_final
2023-02-03 10:51:23	ga_ls8c_ard_3-2-1_105079_2023-02-03_final
2023-02-19 10:51:12	ga_ls8c_ard_3-2-1_105079_2023-02-19_final
2023-03-07 10:51:00	ga_ls8c_ard_3-2-1_105079_2023-03-07_final
2023-03-23 10:50:50	ga_ls8c_ard_3-2-1_105079_2023-03-23_final
2023-04-08 10:50:38	ga_ls8c_ard_3-2-1_105079_2023-04-08_final
2023-04-24 10:50:31	ga_ls8c_ard_3-2-1_105079_2023-04-24_final
2023-05-10 10:50:20	ga_ls8c_ard_3-2-1_105079_2023-05-10_final
2023-05-26 10:50:18	ga_ls8c_ard_3-2-1_105079_2023-05-26_final
2023-06-11 10:50:26	ga_ls8c_ard_3-2-1_105079_2023-06-11_final
2023-06-27 10:50:33	ga_ls8c_ard_3-2-1_105079_2023-06-27_final
2023-07-13 10:50:42	ga_ls8c_ard_3-2-1_105079_2023-07-13_final
2023-07-29 10:50:49	ga_ls8c_ard_3-2-1_105079_2023-07-29_final
2023-08-14 10:50:54	ga_ls8c_ard_3-2-1_105079_2023-08-14_final
2023-08-30 10:51:00	ga_ls8c_ard_3-2-1_105079_2023-08-30_final
2023-09-15 10:51:03	ga_ls8c_ard_3-2-1_105079_2023-09-15_final
2023-10-01 10:51:07	ga_ls8c_ard_3-2-1_105079_2023-10-01_final
2023-10-17 10:51:09	ga_ls8c_ard_3-2-1_105079_2023-10-17_final
2023-11-02 10:51:13	ga_ls8c_ard_3-2-1_105079_2023-11-02_final
2023-11-18 10:51:13	ga_ls8c_ard_3-2-1_105079_2023-11-18_final
2023-12-04 10:51:09	ga_ls8c_ard_3-2-1_105079_2023-12-04_final
2023-12-20 10:51:13	ga_ls8c_ard_3-2-1_105079_2023-12-20_final
2024-01-05 10:51:04	ga_ls8c_ard_3-2-1_105079_2024-01-05_final
2024-01-21 10:51:05	ga_ls8c_ard_3-2-1_105079_2024-01-21_final
2024-01-21 10:51:05	ga_ls8c_ard_3-2-1_105079_2024-01-21_nrt
2024-02-06 10:51:06	ga_ls8c_ard_3-2-1_105079_2024-02-06_final
2024-02-22 10:51:03	ga_ls8c_ard_3-2-1_105079_2024-02-22_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