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
2013-09-17 09:30:26	ga_ls8c_ard_3-0-0_091089_2013-09-17_final
2013-12-24 09:17:34	ga_ls8c_ard_3-0-0_089089_2013-12-23_final
2014-01-30 09:35:44	ga_ls8c_ard_3-0-0_092089_2014-01-30_final
2014-02-01 09:23:21	ga_ls8c_ard_3-0-0_090089_2014-01-31_final
2015-04-23 09:34:00	ga_ls8c_ard_3-0-0_092089_2015-04-23_final
2015-05-16 09:39:26	ga_ls8c_ard_3-0-0_093088_2015-05-16_final
2015-05-25 09:33:43	ga_ls8c_ard_3-0-0_092089_2015-05-25_final
2015-05-30 09:51:52	ga_ls8c_ard_3-0-0_095088_2015-05-30_final
2015-06-15 09:52:04	ga_ls8c_ard_3-0-0_095088_2015-06-15_final
2015-06-17 09:39:44	ga_ls8c_ard_3-0-0_093088_2015-06-17_final
2015-06-26 09:33:58	ga_ls8c_ard_3-0-0_092089_2015-06-26_final
2015-07-01 09:52:11	ga_ls8c_ard_3-0-0_095088_2015-07-01_final
2015-07-03 09:39:51	ga_ls8c_ard_3-0-0_093088_2015-07-03_final
2015-07-19 09:40:00	ga_ls8c_ard_3-0-0_093088_2015-07-19_final
2018-09-11 09:52:24	ga_ls8c_ard_3-0-0_095088_2018-09-11_final
2018-09-13 09:40:03	ga_ls8c_ard_3-0-0_093088_2018-09-13_final
2018-09-15 09:28:05	ga_ls8c_ard_3-0-0_091089_2018-09-14_final
2018-09-17 09:15:44	ga_ls8c_ard_3-0-0_089089_2018-09-16_final
2018-09-22 09:34:18	ga_ls8c_ard_3-0-0_092089_2018-09-22_final
2018-09-24 09:21:34	ga_ls8c_ard_3-0-0_090088_2018-09-23_final
2018-09-24 09:21:58	ga_ls8c_ard_3-0-0_090089_2018-09-23_final
2018-10-01 09:28:12	ga_ls8c_ard_3-0-0_091089_2018-09-30_final
2018-10-03 09:15:52	ga_ls8c_ard_3-0-0_089089_2018-10-02_final
2018-10-08 09:34:26	ga_ls8c_ard_3-0-0_092089_2018-10-08_final
2018-10-10 09:22:06	ga_ls8c_ard_3-0-0_090089_2018-10-09_final
2018-10-17 09:28:19	ga_ls8c_ard_3-0-0_091089_2018-10-16_final
2018-11-02 09:28:23	ga_ls8c_ard_3-0-0_091089_2018-11-01_final
2018-11-09 09:34:35	ga_ls8c_ard_3-0-0_092089_2018-11-09_final
2018-11-11 09:22:13	ga_ls8c_ard_3-0-0_090089_2018-11-10_final
2018-11-14 09:52:44	ga_ls8c_ard_3-0-0_095088_2018-11-14_final
2018-11-18 09:28:24	ga_ls8c_ard_3-0-0_091089_2018-11-17_final
2018-12-02 09:40:20	ga_ls8c_ard_3-0-0_093088_2018-12-02_final
2018-12-04 09:28:22	ga_ls8c_ard_3-0-0_091089_2018-12-03_final
2018-12-11 09:34:32	ga_ls8c_ard_3-0-0_092089_2018-12-11_final
2018-12-13 09:22:09	ga_ls8c_ard_3-0-0_090089_2018-12-12_final
2018-12-20 09:28:21	ga_ls8c_ard_3-0-0_091089_2018-12-19_final
2018-12-22 09:15:59	ga_ls8c_ard_3-0-0_089089_2018-12-21_final
2018-12-27 09:34:31	ga_ls8c_ard_3-0-0_092089_2018-12-27_final
2018-12-29 09:22:10	ga_ls8c_ard_3-0-0_090089_2018-12-28_final
2019-01-05 09:28:20	ga_ls8c_ard_3-0-0_091089_2019-01-04_final
2019-01-07 09:15:58	ga_ls8c_ard_3-0-0_089089_2019-01-06_final
2019-01-12 09:34:30	ga_ls8c_ard_3-0-0_092089_2019-01-12_final
2019-01-14 09:22:08	ga_ls8c_ard_3-0-0_090089_2019-01-13_final
2020-10-22 09:28:48	ga_ls8c_ard_3-1-0_091089_2020-10-21_final
2020-10-31 09:22:36	ga_ls8c_ard_3-1-0_090089_2020-10-30_final
2020-11-16 09:22:35	ga_ls8c_ard_3-1-0_090089_2020-11-15_final
2020-11-25 09:16:26	ga_ls8c_ard_3-1-0_089089_2020-11-24_final
2020-12-25 09:28:47	ga_ls8c_ard_3-2-0_091089_2020-12-24_final
2020-12-27 09:16:01	ga_ls8c_ard_3-2-0_089088_2020-12-26_final
2020-12-27 09:16:25	ga_ls8c_ard_3-2-0_089089_2020-12-26_final
2021-09-16 09:22:34	ga_ls8c_ard_3-2-0_090089_2021-09-15_final
2021-09-23 09:28:46	ga_ls8c_ard_3-2-0_091089_2021-09-22_final
2021-09-25 09:16:25	ga_ls8c_ard_3-2-0_089089_2021-09-24_final
2021-09-30 09:35:00	ga_ls8c_ard_3-2-0_092089_2021-09-30_final
2021-10-02 09:22:15	ga_ls8c_ard_3-2-0_090088_2021-10-01_final
2021-10-02 09:22:39	ga_ls8c_ard_3-2-0_090089_2021-10-01_final
2021-10-05 09:53:10	ga_ls8c_ard_3-2-0_095088_2021-10-05_final
2021-10-09 09:28:52	ga_ls8c_ard_3-2-0_091089_2021-10-08_final
2021-10-11 09:16:31	ga_ls8c_ard_3-2-0_089089_2021-10-10_final
2021-10-14 09:47:02	ga_ls8c_ard_3-2-0_094088_2021-10-14_final
2021-10-16 09:35:04	ga_ls8c_ard_3-2-0_092089_2021-10-16_final
2021-10-25 09:28:54	ga_ls8c_ard_3-2-0_091089_2021-10-24_final
2022-02-07 09:22:25	ga_ls8c_ard_3-2-1_090089_2022-02-06_final
2022-02-14 09:28:33	ga_ls8c_ard_3-2-1_091089_2022-02-13_final
2022-02-21 09:34:41	ga_ls8c_ard_3-2-1_092089_2022-02-21_final
2022-03-04 09:16:07	ga_ls8c_ard_3-2-1_089089_2022-03-03_final
2022-03-09 09:34:38	ga_ls8c_ard_3-2-1_092089_2022-03-09_final
2022-03-11 09:22:16	ga_ls8c_ard_3-2-1_090089_2022-03-10_final
2022-03-18 09:28:22	ga_ls8c_ard_3-2-1_091089_2022-03-17_final
2022-03-20 09:15:59	ga_ls8c_ard_3-2-1_089089_2022-03-19_final
2022-03-25 09:34:27	ga_ls8c_ard_3-2-1_092089_2022-03-25_final
2022-03-27 09:22:04	ga_ls8c_ard_3-2-1_090089_2022-03-26_final
2022-04-03 09:28:12	ga_ls8c_ard_3-2-1_091089_2022-04-02_final
2022-04-05 09:15:52	ga_ls8c_ard_3-2-1_089089_2022-04-04_final
2022-05-21 09:28:25	ga_ls8c_ard_3-2-1_091089_2022-05-20_final
2022-05-23 09:16:03	ga_ls8c_ard_3-2-1_089089_2022-05-22_final
2022-05-28 09:34:34	ga_ls8c_ard_3-2-1_092089_2022-05-28_final
2022-05-30 09:22:15	ga_ls8c_ard_3-2-1_090089_2022-05-29_final
2022-07-26 09:16:28	ga_ls8c_ard_3-2-1_089089_2022-07-25_final
2022-07-31 09:35:04	ga_ls8c_ard_3-2-1_092089_2022-07-31_final
2023-12-18 09:28:41	ga_ls8c_ard_3-2-1_091089_2023-12-17_final
2023-12-25 09:34:51	ga_ls8c_ard_3-2-1_092089_2023-12-25_final
2023-12-27 09:22:29	ga_ls8c_ard_3-2-1_090089_2023-12-26_final
2024-01-03 09:28:34	ga_ls8c_ard_3-2-1_091089_2024-01-02_final
2024-01-05 09:16:10	ga_ls8c_ard_3-2-1_089089_2024-01-04_final
2024-01-10 09:34:46	ga_ls8c_ard_3-2-1_092089_2024-01-10_final
2024-01-12 09:22:25	ga_ls8c_ard_3-2-1_090089_2024-01-11_final
2024-01-19 09:28:34	ga_ls8c_ard_3-2-1_091089_2024-01-18_final
2024-01-28 09:22:18	ga_ls8c_ard_3-2-1_090089_2024-01-27_final
2024-02-04 09:28:33	ga_ls8c_ard_3-2-1_091089_2024-02-03_final
2024-02-06 09:16:12	ga_ls8c_ard_3-2-1_089089_2024-02-05_final
2024-02-13 09:22:22	ga_ls8c_ard_3-2-1_090089_2024-02-12_final
2024-02-20 09:28:32	ga_ls8c_ard_3-2-1_091089_2024-02-19_final
2024-02-22 09:16:10	ga_ls8c_ard_3-2-1_089089_2024-02-21_final
2024-04-15 09:34:11	ga_ls8c_ard_3-2-1_092089_2024-04-15_final
2024-04-17 09:21:47	ga_ls8c_ard_3-2-1_090089_2024-04-16_final
2024-04-26 09:15:33	ga_ls8c_ard_3-2-1_089089_2024-04-25_final
2024-05-01 09:34:00	ga_ls8c_ard_3-2-1_092089_2024-05-01_nrt
2024-05-03 09:21:37	ga_ls8c_ard_3-2-1_090089_2024-05-02_nrt
2024-05-10 09:27:44	ga_ls8c_ard_3-2-1_091089_2024-05-09_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