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
2015-12-28 09:28:36	ga_ls8c_ard_3-0-0_091089_2015-12-27_final
2015-12-30 09:16:13	ga_ls8c_ard_3-0-0_089089_2015-12-29_final
2016-01-04 09:34:44	ga_ls8c_ard_3-0-0_092089_2016-01-04_final
2016-01-06 09:22:22	ga_ls8c_ard_3-0-0_090089_2016-01-05_final
2016-01-29 09:28:32	ga_ls8c_ard_3-0-0_091089_2016-01-28_final
2016-01-31 09:16:10	ga_ls8c_ard_3-0-0_089089_2016-01-30_final
2016-02-05 09:34:41	ga_ls8c_ard_3-0-0_092089_2016-02-05_final
2016-02-16 09:16:02	ga_ls8c_ard_3-0-0_089089_2016-02-15_final
2016-02-21 09:34:32	ga_ls8c_ard_3-0-0_092089_2016-02-21_final
2016-02-23 09:22:11	ga_ls8c_ard_3-0-0_090089_2016-02-22_final
2016-03-08 09:34:31	ga_ls8c_ard_3-0-0_092089_2016-03-08_final
2016-03-17 09:28:17	ga_ls8c_ard_3-0-0_091089_2016-03-16_final
2016-03-19 09:15:54	ga_ls8c_ard_3-0-0_089089_2016-03-18_final
2016-03-24 09:34:24	ga_ls8c_ard_3-0-0_092089_2016-03-24_final
2016-04-02 09:28:07	ga_ls8c_ard_3-0-0_091089_2016-04-01_final
2016-04-04 09:15:45	ga_ls8c_ard_3-0-0_089089_2016-04-03_final
2016-04-09 09:34:16	ga_ls8c_ard_3-0-0_092089_2016-04-09_final
2016-04-11 09:21:54	ga_ls8c_ard_3-0-0_090089_2016-04-10_final
2016-04-18 09:28:02	ga_ls8c_ard_3-0-0_091089_2016-04-17_final
2016-04-20 09:15:39	ga_ls8c_ard_3-0-0_089089_2016-04-19_final
2016-04-25 09:34:09	ga_ls8c_ard_3-0-0_092089_2016-04-25_final
2016-04-27 09:21:50	ga_ls8c_ard_3-0-0_090089_2016-04-26_final
2016-12-16 09:15:58	ga_ls8c_ard_3-0-0_089088_2016-12-15_final
2016-12-16 09:16:22	ga_ls8c_ard_3-0-0_089089_2016-12-15_final
2017-01-15 09:28:38	ga_ls8c_ard_3-0-0_091089_2017-01-14_final
2017-01-17 09:15:51	ga_ls8c_ard_3-0-0_089088_2017-01-16_final
2017-01-17 09:16:15	ga_ls8c_ard_3-0-0_089089_2017-01-16_final
2017-01-22 09:34:46	ga_ls8c_ard_3-0-0_092089_2017-01-22_final
2017-02-02 09:16:08	ga_ls8c_ard_3-0-0_089089_2017-02-01_final
2017-05-03 09:52:04	ga_ls8c_ard_3-0-0_095088_2017-05-03_final
2017-05-05 09:39:44	ga_ls8c_ard_3-0-0_093088_2017-05-05_final
2017-05-19 09:52:16	ga_ls8c_ard_3-0-0_095088_2017-05-19_final
2017-05-23 09:27:59	ga_ls8c_ard_3-0-0_091089_2017-05-22_final
2017-06-04 09:52:25	ga_ls8c_ard_3-0-0_095088_2017-06-04_final
2017-06-06 09:40:04	ga_ls8c_ard_3-0-0_093088_2017-06-06_final
2017-06-08 09:28:08	ga_ls8c_ard_3-0-0_091089_2017-06-07_final
2017-06-20 09:52:31	ga_ls8c_ard_3-0-0_095088_2017-06-20_final
2017-06-24 09:28:13	ga_ls8c_ard_3-0-0_091089_2017-06-23_final
2017-07-06 09:52:35	ga_ls8c_ard_3-0-0_095088_2017-07-06_final
2017-07-08 09:40:14	ga_ls8c_ard_3-0-0_093088_2017-07-08_final
2019-01-07 09:15:58	ga_ls8c_ard_3-0-0_089089_2019-01-06_final
2021-12-19 09:34:59	ga_ls8c_ard_3-2-1_092089_2021-12-19_final
2021-12-21 09:22:13	ga_ls8c_ard_3-2-1_090088_2021-12-20_final
2021-12-21 09:22:36	ga_ls8c_ard_3-2-1_090089_2021-12-20_final
2022-01-06 09:22:08	ga_ls8c_ard_3-2-1_090088_2022-01-05_final
2022-01-06 09:22:32	ga_ls8c_ard_3-2-1_090089_2022-01-05_final
2022-01-20 09:34:51	ga_ls8c_ard_3-2-1_092089_2022-01-20_final
2022-01-22 09:22:28	ga_ls8c_ard_3-2-1_090089_2022-01-21_final
2022-01-29 09:28:36	ga_ls8c_ard_3-2-1_091089_2022-01-28_final
2022-01-31 09:15:51	ga_ls8c_ard_3-2-1_089088_2022-01-30_final
2022-01-31 09:16:15	ga_ls8c_ard_3-2-1_089089_2022-01-30_final
2022-02-05 09:34:47	ga_ls8c_ard_3-2-1_092089_2022-02-05_final
2022-08-07 09:40:54	ga_ls8c_ard_3-2-1_093088_2022-08-07_final
2022-08-09 09:28:57	ga_ls8c_ard_3-2-1_091089_2022-08-08_final
2022-08-11 09:16:13	ga_ls8c_ard_3-2-1_089088_2022-08-10_final
2022-08-11 09:16:37	ga_ls8c_ard_3-2-1_089089_2022-08-10_final
2022-08-16 09:34:46	ga_ls8c_ard_3-2-1_092088_2022-08-16_final
2022-08-16 09:35:10	ga_ls8c_ard_3-2-1_092089_2022-08-16_final
2022-08-18 09:22:25	ga_ls8c_ard_3-2-1_090088_2022-08-17_final
2022-08-18 09:22:49	ga_ls8c_ard_3-2-1_090089_2022-08-17_final
2022-08-23 09:40:58	ga_ls8c_ard_3-2-1_093088_2022-08-23_final
2022-08-25 09:29:00	ga_ls8c_ard_3-2-1_091089_2022-08-24_final
2022-08-27 09:16:15	ga_ls8c_ard_3-2-1_089088_2022-08-26_final
2022-08-27 09:16:39	ga_ls8c_ard_3-2-1_089089_2022-08-26_final
2022-09-01 09:35:11	ga_ls8c_ard_3-2-1_092089_2022-09-01_final
2022-09-03 09:22:49	ga_ls8c_ard_3-2-1_090089_2022-09-02_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
2022-09-10 09:29:04	ga_ls8c_ard_3-2-1_091089_2022-09-09_final
2022-09-12 09:16:43	ga_ls8c_ard_3-2-1_089089_2022-09-11_final
2022-09-17 09:35:17	ga_ls8c_ard_3-2-1_092089_2022-09-17_final
2022-12-29 09:40:50	ga_ls8c_ard_3-2-1_093088_2022-12-29_final
2022-12-31 09:28:53	ga_ls8c_ard_3-2-1_091089_2022-12-30_final
2023-01-02 09:16:31	ga_ls8c_ard_3-2-1_089089_2023-01-01_final
2023-01-14 09:40:46	ga_ls8c_ard_3-2-1_093088_2023-01-14_final
2023-02-10 09:22:37	ga_ls8c_ard_3-2-1_090089_2023-02-09_final
2023-03-05 09:28:30	ga_ls8c_ard_3-2-1_091089_2023-03-04_final
2023-03-07 09:16:06	ga_ls8c_ard_3-2-1_089089_2023-03-06_final
2023-03-12 09:34:38	ga_ls8c_ard_3-2-1_092089_2023-03-12_final
2023-03-14 09:22:15	ga_ls8c_ard_3-2-1_090089_2023-03-13_final
2023-03-28 09:34:28	ga_ls8c_ard_3-2-1_092089_2023-03-28_final
2023-03-30 09:22:05	ga_ls8c_ard_3-2-1_090089_2023-03-29_final
2023-04-06 09:28:09	ga_ls8c_ard_3-2-1_091089_2023-04-05_final
2023-04-08 09:15:44	ga_ls8c_ard_3-2-1_089089_2023-04-07_final
2023-04-15 09:21:50	ga_ls8c_ard_3-2-1_090089_2023-04-14_final
2023-05-01 09:21:46	ga_ls8c_ard_3-2-1_090089_2023-04-30_final
2023-05-08 09:27:51	ga_ls8c_ard_3-2-1_091089_2023-05-07_final
2023-05-10 09:15:27	ga_ls8c_ard_3-2-1_089089_2023-05-09_final
2023-05-15 09:33:55	ga_ls8c_ard_3-2-1_092089_2023-05-15_final
2023-05-17 09:21:33	ga_ls8c_ard_3-2-1_090089_2023-05-16_final
2023-05-26 09:15:01	ga_ls8c_ard_3-2-1_089088_2023-05-25_final
2023-05-26 09:15:25	ga_ls8c_ard_3-2-1_089089_2023-05-25_final
2023-05-31 09:33:34	ga_ls8c_ard_3-2-1_092088_2023-05-31_final
2023-05-31 09:33:57	ga_ls8c_ard_3-2-1_092089_2023-05-31_final
2023-06-02 09:21:12	ga_ls8c_ard_3-2-1_090088_2023-06-01_final
2023-06-02 09:21:36	ga_ls8c_ard_3-2-1_090089_2023-06-01_final
2024-02-04 09:28:33	ga_ls8c_ard_3-2-1_091089_2024-02-03_final
2024-02-06 09:15:48	ga_ls8c_ard_3-2-1_089088_2024-02-05_final
2024-02-06 09:16:12	ga_ls8c_ard_3-2-1_089089_2024-02-05_final
2024-04-24 09:27:55	ga_ls8c_ard_3-2-1_091089_2024-04-23_nrt

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