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
2013-07-08 09:24:40	ga_ls8c_ard_3-0-0_090090_2013-07-07_final
2013-07-17 09:18:29	ga_ls8c_ard_3-0-0_089090_2013-07-16_final
2013-08-16 09:30:52	ga_ls8c_ard_3-0-0_091090_2013-08-16_final
2013-09-03 09:18:33	ga_ls8c_ard_3-0-0_089090_2013-09-02_final
2013-09-17 09:30:50	ga_ls8c_ard_3-0-0_091090_2013-09-17_final
2013-10-05 09:18:24	ga_ls8c_ard_3-0-0_089090_2013-10-04_final
2013-10-12 09:24:34	ga_ls8c_ard_3-0-0_090090_2013-10-11_final
2013-12-22 09:30:20	ga_ls8c_ard_3-0-0_091090_2013-12-22_final
2013-12-24 09:17:58	ga_ls8c_ard_3-0-0_089090_2013-12-23_final
2014-01-16 09:23:50	ga_ls8c_ard_3-0-0_090090_2014-01-15_final
2015-04-23 09:34:24	ga_ls8c_ard_3-0-0_092090_2015-04-23_final
2015-05-02 09:28:05	ga_ls8c_ard_3-0-0_091090_2015-05-01_final
2015-05-04 09:15:41	ga_ls8c_ard_3-0-0_089090_2015-05-03_final
2015-05-11 09:21:45	ga_ls8c_ard_3-0-0_090090_2015-05-10_final
2015-05-25 09:34:07	ga_ls8c_ard_3-0-0_092090_2015-05-25_final
2015-06-26 09:34:22	ga_ls8c_ard_3-0-0_092090_2015-06-26_final
2019-01-07 09:16:22	ga_ls8c_ard_3-0-0_089090_2019-01-06_final
2020-10-06 09:29:11	ga_ls8c_ard_3-1-0_091090_2020-10-05_final
2020-10-06 09:29:35	ga_ls8c_ard_3-1-0_091091_2020-10-05_final
2020-10-22 09:29:12	ga_ls8c_ard_3-1-0_091090_2020-10-21_final
2020-10-24 09:16:50	ga_ls8c_ard_3-1-0_089090_2020-10-23_final
2020-10-29 09:35:22	ga_ls8c_ard_3-1-0_092090_2020-10-29_final
2020-10-31 09:23:00	ga_ls8c_ard_3-1-0_090090_2020-10-30_final
2020-10-31 09:23:24	ga_ls8c_ard_3-1-0_090091_2020-10-30_final
2020-11-23 09:29:11	ga_ls8c_ard_3-1-0_091090_2020-11-22_final
2020-11-30 09:35:24	ga_ls8c_ard_3-1-0_092090_2020-11-30_final
2020-12-02 09:23:02	ga_ls8c_ard_3-1-0_090090_2020-12-01_final
2020-12-09 09:29:13	ga_ls8c_ard_3-1-0_091090_2020-12-08_final
2020-12-11 09:16:52	ga_ls8c_ard_3-1-0_089090_2020-12-10_final
2020-12-25 09:29:11	ga_ls8c_ard_3-2-0_091090_2020-12-24_final
2020-12-27 09:16:49	ga_ls8c_ard_3-2-0_089090_2020-12-26_final
2021-01-01 09:35:20	ga_ls8c_ard_3-2-0_092090_2021-01-01_final
2021-01-03 09:22:57	ga_ls8c_ard_3-2-0_090090_2021-01-02_final
2021-01-10 09:29:05	ga_ls8c_ard_3-2-0_091090_2021-01-09_final
2021-01-12 09:16:42	ga_ls8c_ard_3-2-0_089090_2021-01-11_final
2021-01-17 09:35:12	ga_ls8c_ard_3-2-0_092090_2021-01-17_final
2021-01-19 09:22:50	ga_ls8c_ard_3-2-0_090090_2021-01-18_final
2021-02-11 09:28:58	ga_ls8c_ard_3-2-0_091090_2021-02-10_final
2021-04-16 09:28:33	ga_ls8c_ard_3-2-0_091090_2021-04-15_final
2021-04-18 09:16:10	ga_ls8c_ard_3-2-0_089090_2021-04-17_final
2021-04-23 09:34:40	ga_ls8c_ard_3-2-0_092090_2021-04-23_final
2021-05-02 09:28:24	ga_ls8c_ard_3-2-0_091090_2021-05-01_final
2021-05-04 09:16:01	ga_ls8c_ard_3-2-0_089090_2021-05-03_final
2021-05-25 09:34:44	ga_ls8c_ard_3-2-0_092090_2021-05-25_final
2021-05-27 09:22:23	ga_ls8c_ard_3-2-0_090090_2021-05-26_final
2021-05-27 09:22:47	ga_ls8c_ard_3-2-0_090091_2021-05-26_final
2021-08-06 09:28:58	ga_ls8c_ard_3-2-0_091090_2021-08-05_final
2021-08-08 09:16:37	ga_ls8c_ard_3-2-0_089090_2021-08-07_final
2021-08-13 09:35:11	ga_ls8c_ard_3-2-0_092090_2021-08-13_final
2021-08-15 09:22:50	ga_ls8c_ard_3-2-0_090090_2021-08-14_final
2021-08-22 09:29:03	ga_ls8c_ard_3-2-0_091090_2021-08-21_final
2021-08-24 09:16:42	ga_ls8c_ard_3-2-0_089090_2021-08-23_final
2021-08-29 09:35:15	ga_ls8c_ard_3-2-0_092090_2021-08-29_final
2021-08-31 09:22:54	ga_ls8c_ard_3-2-0_090090_2021-08-30_final
2021-08-31 09:23:18	ga_ls8c_ard_3-2-0_090091_2021-08-30_final
2021-09-07 09:29:07	ga_ls8c_ard_3-2-0_091090_2021-09-06_final
2021-09-07 09:29:31	ga_ls8c_ard_3-2-0_091091_2021-09-06_final
2021-09-09 09:16:46	ga_ls8c_ard_3-2-0_089090_2021-09-08_final
2021-10-18 09:23:07	ga_ls8c_ard_3-2-0_090090_2021-10-17_final
2021-10-25 09:29:18	ga_ls8c_ard_3-2-0_091090_2021-10-24_final
2021-11-01 09:35:28	ga_ls8c_ard_3-2-0_092090_2021-11-01_final
2021-11-03 09:23:06	ga_ls8c_ard_3-2-0_090090_2021-11-02_final
2021-11-10 09:29:15	ga_ls8c_ard_3-2-0_091090_2021-11-09_final
2021-11-12 09:16:53	ga_ls8c_ard_3-2-0_089090_2021-11-11_final
2021-11-17 09:35:23	ga_ls8c_ard_3-2-0_092090_2021-11-17_final
2021-11-19 09:23:01	ga_ls8c_ard_3-2-0_090090_2021-11-18_final
2021-11-28 09:16:52	ga_ls8c_ard_3-2-0_089090_2021-11-27_final
2021-12-03 09:35:25	ga_ls8c_ard_3-2-0_092090_2021-12-03_final
2021-12-05 09:23:03	ga_ls8c_ard_3-2-0_090090_2021-12-04_final
2021-12-12 09:29:13	ga_ls8c_ard_3-2-1_091090_2021-12-11_final
2021-12-14 09:16:51	ga_ls8c_ard_3-2-1_089090_2021-12-13_final
2021-12-19 09:35:23	ga_ls8c_ard_3-2-1_092090_2021-12-19_final
2021-12-21 09:23:00	ga_ls8c_ard_3-2-1_090090_2021-12-20_final
2021-12-30 09:16:46	ga_ls8c_ard_3-2-1_089090_2021-12-29_final
2022-01-04 09:35:18	ga_ls8c_ard_3-2-1_092090_2022-01-04_final
2022-01-13 09:29:06	ga_ls8c_ard_3-2-1_091090_2022-01-12_final
2022-01-15 09:16:44	ga_ls8c_ard_3-2-1_089090_2022-01-14_final
2023-01-07 09:35:27	ga_ls8c_ard_3-2-1_092090_2023-01-07_final
2023-01-09 09:23:05	ga_ls8c_ard_3-2-1_090090_2023-01-08_final
2023-01-18 09:16:47	ga_ls8c_ard_3-2-1_089090_2023-01-17_final
2023-01-23 09:35:24	ga_ls8c_ard_3-2-1_092090_2023-01-23_final
2023-02-01 09:29:15	ga_ls8c_ard_3-2-1_091090_2023-01-31_final
2023-02-03 09:16:53	ga_ls8c_ard_3-2-1_089090_2023-02-02_final
2023-02-08 09:35:24	ga_ls8c_ard_3-2-1_092090_2023-02-08_final
2023-02-10 09:23:01	ga_ls8c_ard_3-2-1_090090_2023-02-09_final
2023-02-17 09:29:06	ga_ls8c_ard_3-2-1_091090_2023-02-16_final
2023-02-19 09:16:42	ga_ls8c_ard_3-2-1_089090_2023-02-18_final
2023-02-24 09:35:07	ga_ls8c_ard_3-2-1_092090_2023-02-24_final
2023-02-26 09:22:44	ga_ls8c_ard_3-2-1_090090_2023-02-25_final
2023-06-16 09:34:31	ga_ls8c_ard_3-2-1_092090_2023-06-16_final
2023-06-18 09:22:09	ga_ls8c_ard_3-2-1_090090_2023-06-17_final
2023-06-18 09:22:33	ga_ls8c_ard_3-2-1_090091_2023-06-17_final
2023-06-25 09:28:23	ga_ls8c_ard_3-2-1_091090_2023-06-24_final
2023-06-27 09:16:03	ga_ls8c_ard_3-2-1_089090_2023-06-26_final
2023-07-02 09:34:40	ga_ls8c_ard_3-2-1_092090_2023-07-02_final
2023-07-04 09:22:20	ga_ls8c_ard_3-2-1_090090_2023-07-03_final
2023-11-16 09:29:04	ga_ls8c_ard_3-2-1_091090_2023-11-15_final
2023-11-18 09:16:44	ga_ls8c_ard_3-2-1_089090_2023-11-17_final
2024-02-20 09:28:56	ga_ls8c_ard_3-2-1_091090_2024-02-19_final
2024-02-22 09:16:34	ga_ls8c_ard_3-2-1_089090_2024-02-21_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years