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
2018-08-06 10:10:28	ga_ls8c_ard_3-0-0_099072_2018-08-06_final
2018-09-07 10:10:43	ga_ls8c_ard_3-0-0_099072_2018-09-07_final
2018-09-23 10:10:47	ga_ls8c_ard_3-0-0_099072_2018-09-23_final
2018-10-09 10:10:55	ga_ls8c_ard_3-0-0_099072_2018-10-09_final
2018-12-12 10:11:00	ga_ls8c_ard_3-0-0_099072_2018-12-12_final
2018-12-28 10:11:00	ga_ls8c_ard_3-0-0_099072_2018-12-28_final
2019-01-13 10:10:58	ga_ls8c_ard_3-0-0_099072_2019-01-13_final
2019-01-29 10:10:54	ga_ls8c_ard_3-0-0_099072_2019-01-29_final
2019-02-14 10:10:52	ga_ls8c_ard_3-0-0_099072_2019-02-14_final
2019-10-12 10:11:31	ga_ls8c_ard_3-1-0_099072_2019-10-12_final
2019-10-28 10:11:31	ga_ls8c_ard_3-1-0_099072_2019-10-28_final
2019-11-13 10:11:29	ga_ls8c_ard_3-1-0_099072_2019-11-13_final
2019-11-29 10:11:27	ga_ls8c_ard_3-1-0_099072_2019-11-29_final
2019-12-15 10:11:25	ga_ls8c_ard_3-2-0_099072_2019-12-15_final
2019-12-31 10:11:21	ga_ls8c_ard_3-1-0_099072_2019-12-31_final
2020-02-01 10:11:13	ga_ls8c_ard_3-1-0_099072_2020-02-01_final
2020-04-05 10:10:47	ga_ls8c_ard_3-1-0_099072_2020-04-05_final
2020-04-21 10:10:41	ga_ls8c_ard_3-1-0_099072_2020-04-21_final
2020-05-23 10:10:34	ga_ls8c_ard_3-1-0_099072_2020-05-23_final
2020-07-26 10:11:03	ga_ls8c_ard_3-1-0_099072_2020-07-26_final
2020-08-11 10:11:06	ga_ls8c_ard_3-1-0_099072_2020-08-11_final
2020-08-27 10:11:14	ga_ls8c_ard_3-1-0_099072_2020-08-27_final
2020-09-12 10:11:21	ga_ls8c_ard_3-1-0_099072_2020-09-12_final
2020-09-28 10:11:26	ga_ls8c_ard_3-1-0_099072_2020-09-28_final
2020-10-14 10:11:28	ga_ls8c_ard_3-1-0_099072_2020-10-14_final
2020-10-30 10:11:27	ga_ls8c_ard_3-1-0_099072_2020-10-30_final
2020-11-15 10:11:24	ga_ls8c_ard_3-1-0_099072_2020-11-15_final
2020-12-01 10:11:28	ga_ls8c_ard_3-1-0_099072_2020-12-01_final
2020-12-17 10:11:28	ga_ls8c_ard_3-2-0_099072_2020-12-17_final
2021-01-02 10:11:24	ga_ls8c_ard_3-2-0_099072_2021-01-02_final
2021-01-18 10:11:16	ga_ls8c_ard_3-2-0_099072_2021-01-18_final
2021-02-03 10:11:15	ga_ls8c_ard_3-2-0_099072_2021-02-03_final
2021-02-19 10:11:11	ga_ls8c_ard_3-2-0_099072_2021-02-19_final
2021-03-07 10:11:03	ga_ls8c_ard_3-2-0_099072_2021-03-07_final
2021-03-23 10:10:56	ga_ls8c_ard_3-2-0_099072_2021-03-23_final
2021-04-08 10:10:52	ga_ls8c_ard_3-2-0_099072_2021-04-08_final
2021-04-24 10:10:44	ga_ls8c_ard_3-2-0_099072_2021-04-24_final
2021-05-10 10:10:39	ga_ls8c_ard_3-2-0_099072_2021-05-10_final
2021-05-26 10:10:49	ga_ls8c_ard_3-2-0_099072_2021-05-26_final
2021-06-11 10:10:56	ga_ls8c_ard_3-2-0_099072_2021-06-11_final
2021-06-27 10:11:00	ga_ls8c_ard_3-2-0_099072_2021-06-27_final
2021-07-13 10:11:02	ga_ls8c_ard_3-2-0_099072_2021-07-13_final
2021-07-29 10:11:09	ga_ls8c_ard_3-2-0_099072_2021-07-29_final
2021-08-14 10:11:16	ga_ls8c_ard_3-2-0_099072_2021-08-14_final
2021-08-30 10:11:20	ga_ls8c_ard_3-2-0_099072_2021-08-30_final
2021-09-15 10:11:24	ga_ls8c_ard_3-2-0_099072_2021-09-15_final
2021-10-01 10:11:29	ga_ls8c_ard_3-2-0_099072_2021-10-01_final
2021-10-17 10:11:33	ga_ls8c_ard_3-2-0_099072_2021-10-17_final
2021-11-02 10:11:33	ga_ls8c_ard_3-2-0_099072_2021-11-02_final
2021-11-18 10:11:27	ga_ls8c_ard_3-2-0_099072_2021-11-18_final
2021-12-04 10:11:29	ga_ls8c_ard_3-2-0_099072_2021-12-04_final
2021-12-20 10:11:27	ga_ls8c_ard_3-2-1_099072_2021-12-20_final
2022-01-05 10:11:22	ga_ls8c_ard_3-2-1_099072_2022-01-05_final
2022-01-21 10:11:19	ga_ls8c_ard_3-2-1_099072_2022-01-21_final
2022-02-06 10:11:15	ga_ls8c_ard_3-2-1_099072_2022-02-06_final
2022-02-22 10:11:09	ga_ls8c_ard_3-2-1_099072_2022-02-22_final
2022-03-10 10:11:06	ga_ls8c_ard_3-2-1_099072_2022-03-10_final
2022-03-26 10:10:55	ga_ls8c_ard_3-2-1_099072_2022-03-26_final
2022-04-11 10:10:57	ga_ls8c_ard_3-2-1_099072_2022-04-11_final
2022-04-27 10:10:54	ga_ls8c_ard_3-2-1_099072_2022-04-27_final
2022-05-13 10:11:02	ga_ls8c_ard_3-2-1_099072_2022-05-13_final
2022-05-29 10:11:04	ga_ls8c_ard_3-2-1_099072_2022-05-29_final
2022-06-30 10:11:22	ga_ls8c_ard_3-2-1_099072_2022-06-30_final
2022-07-16 10:11:21	ga_ls8c_ard_3-2-1_099072_2022-07-16_final
2022-08-01 10:11:33	ga_ls8c_ard_3-2-1_099072_2022-08-01_final
2022-08-17 10:11:39	ga_ls8c_ard_3-2-1_099072_2022-08-17_final
2022-09-02 10:11:39	ga_ls8c_ard_3-2-1_099072_2022-09-02_final
2022-09-18 10:11:46	ga_ls8c_ard_3-2-1_099072_2022-09-18_final
2022-10-04 10:11:44	ga_ls8c_ard_3-2-1_099072_2022-10-04_final
2022-10-20 10:11:42	ga_ls8c_ard_3-2-1_099072_2022-10-20_final
2022-11-05 10:11:46	ga_ls8c_ard_3-2-1_099072_2022-11-05_final
2022-11-21 10:11:39	ga_ls8c_ard_3-2-1_099072_2022-11-21_final
2022-12-07 10:11:41	ga_ls8c_ard_3-2-1_099072_2022-12-07_final
2022-12-23 10:11:30	ga_ls8c_ard_3-2-1_099072_2022-12-23_final
2023-01-08 10:11:31	ga_ls8c_ard_3-2-1_099072_2023-01-08_final
2023-01-24 10:11:29	ga_ls8c_ard_3-2-1_099072_2023-01-24_final
2023-02-09 10:11:28	ga_ls8c_ard_3-2-1_099072_2023-02-09_final
2023-02-25 10:11:11	ga_ls8c_ard_3-2-1_099072_2023-02-25_final
2023-03-13 10:11:06	ga_ls8c_ard_3-2-1_099072_2023-03-13_final
2023-03-29 10:10:56	ga_ls8c_ard_3-2-1_099072_2023-03-29_final
2023-04-14 10:10:41	ga_ls8c_ard_3-2-1_099072_2023-04-14_final
2023-04-30 10:10:37	ga_ls8c_ard_3-2-1_099072_2023-04-30_final
2023-05-16 10:10:23	ga_ls8c_ard_3-2-1_099072_2023-05-16_final
2023-06-01 10:10:26	ga_ls8c_ard_3-2-1_099072_2023-06-01_final
2023-06-17 10:10:35	ga_ls8c_ard_3-2-1_099072_2023-06-17_final
2023-07-03 10:10:45	ga_ls8c_ard_3-2-1_099072_2023-07-03_final
2023-07-19 10:10:49	ga_ls8c_ard_3-2-1_099072_2023-07-19_final
2023-08-04 10:10:59	ga_ls8c_ard_3-2-1_099072_2023-08-04_final
2023-08-20 10:11:06	ga_ls8c_ard_3-2-1_099072_2023-08-20_final
2023-09-05 10:11:06	ga_ls8c_ard_3-2-1_099072_2023-09-05_final
2023-09-21 10:11:12	ga_ls8c_ard_3-2-1_099072_2023-09-21_final
2023-10-07 10:11:15	ga_ls8c_ard_3-2-1_099072_2023-10-07_final
2023-10-23 10:11:18	ga_ls8c_ard_3-2-1_099072_2023-10-23_final
2023-11-08 10:11:17	ga_ls8c_ard_3-2-1_099072_2023-11-08_final
2023-11-24 10:11:22	ga_ls8c_ard_3-2-1_099072_2023-11-24_final
2023-12-10 10:11:15	ga_ls8c_ard_3-2-1_099072_2023-12-10_final
2023-12-26 10:11:20	ga_ls8c_ard_3-2-1_099072_2023-12-26_final
2024-01-11 10:11:15	ga_ls8c_ard_3-2-1_099072_2024-01-11_final
2024-01-27 10:11:07	ga_ls8c_ard_3-2-1_099072_2024-01-27_final
2024-02-12 10:11:13	ga_ls8c_ard_3-2-1_099072_2024-02-12_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