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
2015-06-28 09:21:15	ga_ls8c_ard_3-0-0_090088_2015-06-27_final
2015-07-01 09:52:11	ga_ls8c_ard_3-0-0_095088_2015-07-01_final
2015-07-14 09:21:26	ga_ls8c_ard_3-0-0_090088_2015-07-13_final
2015-07-17 09:52:21	ga_ls8c_ard_3-0-0_095088_2015-07-17_final
2015-07-30 09:21:30	ga_ls8c_ard_3-0-0_090088_2015-07-29_final
2015-08-02 09:52:25	ga_ls8c_ard_3-0-0_095088_2015-08-02_final
2015-08-15 09:21:36	ga_ls8c_ard_3-0-0_090088_2015-08-14_final
2015-08-18 09:52:31	ga_ls8c_ard_3-0-0_095088_2015-08-18_final
2015-08-31 09:21:42	ga_ls8c_ard_3-0-0_090088_2015-08-30_final
2015-09-03 09:52:36	ga_ls8c_ard_3-0-0_095088_2015-09-03_final
2015-09-12 09:46:31	ga_ls8c_ard_3-0-0_094088_2015-09-12_final
2015-10-05 09:52:48	ga_ls8c_ard_3-0-0_095088_2015-10-05_final
2015-10-07 09:40:27	ga_ls8c_ard_3-0-0_093088_2015-10-07_final
2015-11-06 09:52:54	ga_ls8c_ard_3-0-0_095088_2015-11-06_final
2015-11-08 09:40:32	ga_ls8c_ard_3-0-0_093088_2015-11-08_final
2015-11-19 09:22:01	ga_ls8c_ard_3-0-0_090088_2015-11-18_final
2015-11-22 09:52:56	ga_ls8c_ard_3-0-0_095088_2015-11-22_final
2018-02-17 09:40:13	ga_ls8c_ard_3-0-0_093088_2018-02-17_final
2018-04-17 09:21:11	ga_ls8c_ard_3-0-0_090088_2018-04-16_final
2018-06-04 09:20:40	ga_ls8c_ard_3-0-0_090088_2018-06-03_final
2021-07-23 09:15:41	ga_ls8c_ard_3-2-0_089088_2021-07-22_final
2021-07-26 09:46:37	ga_ls8c_ard_3-2-0_094088_2021-07-26_final
2021-07-28 09:34:16	ga_ls8c_ard_3-2-0_092088_2021-07-28_final
2021-07-30 09:21:56	ga_ls8c_ard_3-2-0_090088_2021-07-29_final
2021-08-02 09:52:51	ga_ls8c_ard_3-2-0_095088_2021-08-02_final
2021-08-04 09:40:30	ga_ls8c_ard_3-2-0_093088_2021-08-04_final
2021-08-06 09:28:10	ga_ls8c_ard_3-2-0_091088_2021-08-05_final
2021-09-05 09:40:41	ga_ls8c_ard_3-2-0_093088_2021-09-05_final
2021-09-07 09:28:19	ga_ls8c_ard_3-2-0_091088_2021-09-06_final
2021-09-09 09:15:58	ga_ls8c_ard_3-2-0_089088_2021-09-08_final
2021-09-12 09:46:53	ga_ls8c_ard_3-2-0_094088_2021-09-12_final
2021-09-14 09:34:32	ga_ls8c_ard_3-2-0_092088_2021-09-14_final
2021-09-16 09:22:10	ga_ls8c_ard_3-2-0_090088_2021-09-15_final
2021-09-19 09:53:05	ga_ls8c_ard_3-2-0_095088_2021-09-19_final
2021-09-21 09:40:43	ga_ls8c_ard_3-2-0_093088_2021-09-21_final
2021-09-23 09:28:22	ga_ls8c_ard_3-2-0_091088_2021-09-22_final
2021-09-25 09:16:01	ga_ls8c_ard_3-2-0_089088_2021-09-24_final
2021-09-28 09:46:57	ga_ls8c_ard_3-2-0_094088_2021-09-28_final
2021-09-30 09:34:36	ga_ls8c_ard_3-2-0_092088_2021-09-30_final
2021-10-02 09:22:15	ga_ls8c_ard_3-2-0_090088_2021-10-01_final
2021-10-05 09:53:10	ga_ls8c_ard_3-2-0_095088_2021-10-05_final
2021-10-07 09:40:49	ga_ls8c_ard_3-2-0_093088_2021-10-07_final
2021-10-09 09:28:28	ga_ls8c_ard_3-2-0_091088_2021-10-08_final
2021-10-11 09:16:07	ga_ls8c_ard_3-2-0_089088_2021-10-10_final
2021-10-14 09:47:02	ga_ls8c_ard_3-2-0_094088_2021-10-14_final
2021-10-16 09:34:40	ga_ls8c_ard_3-2-0_092088_2021-10-16_final
2021-10-18 09:22:19	ga_ls8c_ard_3-2-0_090088_2021-10-17_final
2021-10-21 09:53:13	ga_ls8c_ard_3-2-0_095088_2021-10-21_final
2021-10-23 09:40:52	ga_ls8c_ard_3-2-0_093088_2021-10-23_final
2021-10-25 09:28:30	ga_ls8c_ard_3-2-0_091088_2021-10-24_final
2021-10-27 09:16:08	ga_ls8c_ard_3-2-0_089088_2021-10-26_final
2021-10-30 09:47:02	ga_ls8c_ard_3-2-0_094088_2021-10-30_final
2021-11-01 09:34:40	ga_ls8c_ard_3-2-0_092088_2021-11-01_final
2021-12-03 09:34:37	ga_ls8c_ard_3-2-0_092088_2021-12-03_final
2021-12-05 09:22:15	ga_ls8c_ard_3-2-0_090088_2021-12-04_final
2022-01-20 09:34:27	ga_ls8c_ard_3-2-1_092088_2022-01-20_final
2022-01-22 09:22:04	ga_ls8c_ard_3-2-1_090088_2022-01-21_final
2022-02-16 09:15:46	ga_ls8c_ard_3-2-1_089088_2022-02-15_final
2022-05-14 09:21:49	ga_ls8c_ard_3-2-1_090088_2022-05-13_final
2022-05-19 09:40:22	ga_ls8c_ard_3-2-1_093088_2022-05-19_final
2022-07-22 09:40:44	ga_ls8c_ard_3-2-1_093088_2022-07-22_final
2022-07-24 09:28:24	ga_ls8c_ard_3-2-1_091088_2022-07-23_final
2022-07-26 09:16:04	ga_ls8c_ard_3-2-1_089088_2022-07-25_final
2022-08-02 09:22:19	ga_ls8c_ard_3-2-1_090088_2022-08-01_final
2022-08-07 09:40:54	ga_ls8c_ard_3-2-1_093088_2022-08-07_final
2022-08-09 09:28:34	ga_ls8c_ard_3-2-1_091088_2022-08-08_final
2022-08-11 09:16:13	ga_ls8c_ard_3-2-1_089088_2022-08-10_final
2022-08-16 09:34:46	ga_ls8c_ard_3-2-1_092088_2022-08-16_final
2022-08-18 09:22:25	ga_ls8c_ard_3-2-1_090088_2022-08-17_final
2022-08-23 09:40:58	ga_ls8c_ard_3-2-1_093088_2022-08-23_final
2022-08-25 09:28:36	ga_ls8c_ard_3-2-1_091088_2022-08-24_final
2022-08-27 09:16:15	ga_ls8c_ard_3-2-1_089088_2022-08-26_final
2022-09-01 09:34:47	ga_ls8c_ard_3-2-1_092088_2022-09-01_final
2022-09-08 09:41:00	ga_ls8c_ard_3-2-1_093088_2022-09-08_final
2022-09-10 09:28:40	ga_ls8c_ard_3-2-1_091088_2022-09-09_final
2022-09-12 09:16:19	ga_ls8c_ard_3-2-1_089088_2022-09-11_final
2022-09-17 09:34:53	ga_ls8c_ard_3-2-1_092088_2022-09-17_final
2022-09-19 09:22:32	ga_ls8c_ard_3-2-1_090088_2022-09-18_final
2022-09-24 09:41:05	ga_ls8c_ard_3-2-1_093088_2022-09-24_final
2022-09-26 09:28:43	ga_ls8c_ard_3-2-1_091088_2022-09-25_final
2022-09-28 09:16:21	ga_ls8c_ard_3-2-1_089088_2022-09-27_final
2022-11-27 09:40:59	ga_ls8c_ard_3-2-1_093088_2022-11-27_final
2022-11-29 09:28:38	ga_ls8c_ard_3-2-1_091088_2022-11-28_final
2022-12-01 09:16:16	ga_ls8c_ard_3-2-1_089088_2022-11-30_final
2022-12-06 09:34:48	ga_ls8c_ard_3-2-1_092088_2022-12-06_final
2022-12-08 09:22:26	ga_ls8c_ard_3-2-1_090088_2022-12-07_final
2022-12-13 09:40:56	ga_ls8c_ard_3-2-1_093088_2022-12-13_final
2022-12-15 09:28:33	ga_ls8c_ard_3-2-1_091088_2022-12-14_final
2022-12-17 09:16:10	ga_ls8c_ard_3-2-1_089088_2022-12-16_final
2022-12-22 09:34:38	ga_ls8c_ard_3-2-1_092088_2022-12-22_final
2022-12-24 09:22:16	ga_ls8c_ard_3-2-1_090088_2022-12-23_final
2022-12-29 09:40:50	ga_ls8c_ard_3-2-1_093088_2022-12-29_final
2022-12-31 09:28:29	ga_ls8c_ard_3-2-1_091088_2022-12-30_final
2023-01-02 09:16:08	ga_ls8c_ard_3-2-1_089088_2023-01-01_final
2023-01-07 09:34:39	ga_ls8c_ard_3-2-1_092088_2023-01-07_final
2023-01-09 09:22:17	ga_ls8c_ard_3-2-1_090088_2023-01-08_final
2023-01-14 09:40:46	ga_ls8c_ard_3-2-1_093088_2023-01-14_final
2023-01-16 09:28:22	ga_ls8c_ard_3-2-1_091088_2023-01-15_final
2023-01-18 09:15:59	ga_ls8c_ard_3-2-1_089088_2023-01-17_final
2023-01-23 09:34:36	ga_ls8c_ard_3-2-1_092088_2023-01-23_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