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
2016-01-06 09:23:09	ga_ls8c_ard_3-0-0_090091_2016-01-05_final
2016-01-13 09:28:57	ga_ls8c_ard_3-0-0_091090_2016-01-12_final
2016-01-13 09:29:21	ga_ls8c_ard_3-0-0_091091_2016-01-12_final
2016-01-15 09:16:35	ga_ls8c_ard_3-0-0_089090_2016-01-14_final
2016-01-22 09:22:46	ga_ls8c_ard_3-0-0_090090_2016-01-21_final
2016-01-22 09:23:10	ga_ls8c_ard_3-0-0_090091_2016-01-21_final
2016-02-07 09:22:42	ga_ls8c_ard_3-0-0_090090_2016-02-06_final
2016-02-07 09:23:06	ga_ls8c_ard_3-0-0_090091_2016-02-06_final
2016-02-14 09:29:13	ga_ls8c_ard_3-0-0_091091_2016-02-13_final
2016-02-21 09:34:56	ga_ls8c_ard_3-0-0_092090_2016-02-21_final
2016-02-23 09:22:35	ga_ls8c_ard_3-0-0_090090_2016-02-22_final
2016-02-23 09:22:59	ga_ls8c_ard_3-0-0_090091_2016-02-22_final
2016-03-01 09:28:46	ga_ls8c_ard_3-0-0_091090_2016-02-29_final
2016-03-01 09:29:10	ga_ls8c_ard_3-0-0_091091_2016-02-29_final
2016-03-10 09:22:57	ga_ls8c_ard_3-0-0_090091_2016-03-09_final
2016-03-26 09:22:48	ga_ls8c_ard_3-0-0_090091_2016-03-25_final
2018-09-17 09:16:08	ga_ls8c_ard_3-0-0_089090_2018-09-16_final
2018-11-20 09:16:27	ga_ls8c_ard_3-0-0_089090_2018-11-19_final
2019-02-06 09:28:38	ga_ls8c_ard_3-0-0_091090_2019-02-05_final
2019-02-06 09:29:02	ga_ls8c_ard_3-0-0_091091_2019-02-05_final
2019-03-01 09:34:44	ga_ls8c_ard_3-0-0_092090_2019-03-01_final
2019-03-03 09:22:22	ga_ls8c_ard_3-0-0_090090_2019-03-02_final
2019-03-03 09:22:45	ga_ls8c_ard_3-0-0_090091_2019-03-02_final
2019-03-26 09:28:26	ga_ls8c_ard_3-1-0_091090_2019-03-25_final
2019-03-26 09:28:50	ga_ls8c_ard_3-1-0_091091_2019-03-25_final
2019-04-20 09:22:31	ga_ls8c_ard_3-0-0_090091_2019-04-19_final
2019-06-05 09:34:48	ga_ls8c_ard_3-0-0_092090_2019-06-05_final
2019-06-07 09:22:28	ga_ls8c_ard_3-0-0_090090_2019-06-06_final
2019-06-07 09:22:52	ga_ls8c_ard_3-0-0_090091_2019-06-06_final
2019-07-18 09:16:27	ga_ls8c_ard_3-1-0_089090_2019-07-17_final
2019-08-08 09:35:09	ga_ls8c_ard_3-1-0_092090_2019-08-08_final
2019-08-26 09:22:52	ga_ls8c_ard_3-1-0_090090_2019-08-25_final
2019-08-26 09:23:16	ga_ls8c_ard_3-1-0_090091_2019-08-25_final
2019-09-02 09:29:04	ga_ls8c_ard_3-1-0_091090_2019-09-01_final
2019-09-02 09:29:28	ga_ls8c_ard_3-1-0_091091_2019-09-01_final
2019-09-09 09:35:17	ga_ls8c_ard_3-1-0_092090_2019-09-09_final
2019-09-11 09:22:56	ga_ls8c_ard_3-1-0_090090_2019-09-10_final
2019-09-11 09:23:20	ga_ls8c_ard_3-1-0_090091_2019-09-10_final
2019-09-18 09:29:10	ga_ls8c_ard_3-1-0_091090_2019-09-17_final
2019-09-18 09:29:33	ga_ls8c_ard_3-1-0_091091_2019-09-17_final
2019-09-25 09:35:23	ga_ls8c_ard_3-1-0_092090_2019-09-25_final
2019-09-27 09:23:01	ga_ls8c_ard_3-1-0_090090_2019-09-26_final
2019-09-27 09:23:25	ga_ls8c_ard_3-1-0_090091_2019-09-26_final
2019-10-13 09:23:04	ga_ls8c_ard_3-1-0_090090_2019-10-12_final
2019-10-13 09:23:28	ga_ls8c_ard_3-1-0_090091_2019-10-12_final
2019-10-22 09:16:54	ga_ls8c_ard_3-1-0_089090_2019-10-21_final
2019-10-29 09:23:05	ga_ls8c_ard_3-1-0_090090_2019-10-28_final
2019-10-29 09:23:29	ga_ls8c_ard_3-1-0_090091_2019-10-28_final
2019-11-05 09:29:15	ga_ls8c_ard_3-1-0_091090_2019-11-04_final
2019-11-05 09:29:39	ga_ls8c_ard_3-1-0_091091_2019-11-04_final
2019-11-12 09:35:24	ga_ls8c_ard_3-1-0_092090_2019-11-12_final
2019-11-14 09:23:26	ga_ls8c_ard_3-1-0_090091_2019-11-13_final
2019-11-21 09:29:11	ga_ls8c_ard_3-1-0_091090_2019-11-20_final
2019-11-21 09:29:35	ga_ls8c_ard_3-1-0_091091_2019-11-20_final
2019-12-09 09:16:49	ga_ls8c_ard_3-1-0_089090_2019-12-08_final
2019-12-30 09:35:17	ga_ls8c_ard_3-1-0_092090_2019-12-30_final
2020-01-01 09:22:54	ga_ls8c_ard_3-1-0_090090_2019-12-31_final
2020-01-01 09:23:18	ga_ls8c_ard_3-1-0_090091_2019-12-31_final
2020-01-15 09:35:13	ga_ls8c_ard_3-1-0_092090_2020-01-15_final
2020-01-17 09:22:51	ga_ls8c_ard_3-1-0_090090_2020-01-16_final
2020-01-17 09:23:15	ga_ls8c_ard_3-1-0_090091_2020-01-16_final
2020-02-02 09:23:10	ga_ls8c_ard_3-1-0_090091_2020-02-01_final
2020-02-11 09:16:33	ga_ls8c_ard_3-1-0_089090_2020-02-10_final
2020-02-16 09:35:05	ga_ls8c_ard_3-1-0_092090_2020-02-16_final
2020-02-25 09:29:15	ga_ls8c_ard_3-1-0_091091_2020-02-24_final
2022-12-06 09:35:36	ga_ls8c_ard_3-2-1_092090_2022-12-06_final
2022-12-15 09:29:21	ga_ls8c_ard_3-2-1_091090_2022-12-14_final
2022-12-17 09:16:58	ga_ls8c_ard_3-2-1_089090_2022-12-16_final
2022-12-22 09:35:26	ga_ls8c_ard_3-2-1_092090_2022-12-22_final
2022-12-31 09:29:17	ga_ls8c_ard_3-2-1_091090_2022-12-30_final
2023-03-05 09:28:54	ga_ls8c_ard_3-2-1_091090_2023-03-04_final
2023-03-14 09:23:03	ga_ls8c_ard_3-2-1_090091_2023-03-13_final
2023-03-30 09:22:53	ga_ls8c_ard_3-2-1_090091_2023-03-29_final
2023-04-15 09:22:38	ga_ls8c_ard_3-2-1_090091_2023-04-14_final
2023-05-01 09:22:34	ga_ls8c_ard_3-2-1_090091_2023-04-30_final
2023-05-24 09:28:10	ga_ls8c_ard_3-2-1_091090_2023-05-23_final
2023-05-26 09:15:49	ga_ls8c_ard_3-2-1_089090_2023-05-25_final
2023-06-02 09:22:00	ga_ls8c_ard_3-2-1_090090_2023-06-01_final
2023-06-02 09:22:24	ga_ls8c_ard_3-2-1_090091_2023-06-01_final
2023-06-09 09:28:17	ga_ls8c_ard_3-2-1_091090_2023-06-08_final
2023-06-11 09:15:56	ga_ls8c_ard_3-2-1_089090_2023-06-10_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
2023-07-04 09:22:44	ga_ls8c_ard_3-2-1_090091_2023-07-03_final
2023-07-11 09:28:34	ga_ls8c_ard_3-2-1_091090_2023-07-10_final
2023-07-13 09:16:13	ga_ls8c_ard_3-2-1_089090_2023-07-12_final
2023-07-18 09:34:45	ga_ls8c_ard_3-2-1_092090_2023-07-18_final
2023-09-15 09:16:34	ga_ls8c_ard_3-2-1_089090_2023-09-14_final
2023-09-20 09:35:07	ga_ls8c_ard_3-2-1_092090_2023-09-20_final
2023-09-22 09:22:45	ga_ls8c_ard_3-2-1_090090_2023-09-21_final
2023-09-22 09:23:09	ga_ls8c_ard_3-2-1_090091_2023-09-21_final
2023-09-29 09:28:59	ga_ls8c_ard_3-2-1_091090_2023-09-28_final
2023-10-06 09:35:09	ga_ls8c_ard_3-2-1_092090_2023-10-06_final
2023-10-08 09:22:49	ga_ls8c_ard_3-2-1_090090_2023-10-07_final
2023-10-08 09:23:13	ga_ls8c_ard_3-2-1_090091_2023-10-07_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