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
2019-12-17 10:00:15	ga_ls8c_ard_3-2-0_097075_2019-12-17_final
2019-12-19 09:48:41	ga_ls8c_ard_3-2-0_095077_2019-12-19_final
2019-12-19 09:49:05	ga_ls8c_ard_3-2-0_095078_2019-12-19_final
2020-08-21 09:15:46	ga_ls8c_ard_3-1-0_089088_2020-08-20_final
2020-11-10 09:54:28	ga_ls8c_ard_3-1-0_096076_2020-11-10_final
2020-11-12 09:42:53	ga_ls8c_ard_3-1-0_094078_2020-11-12_final
2021-01-01 11:09:01	ga_ls8c_ard_3-2-0_108077_2021-01-01_final
2021-01-15 11:18:29	ga_ls8c_ard_3-2-0_110070_2021-01-15_final
2021-01-20 10:00:06	ga_ls8c_ard_3-2-0_097075_2021-01-20_final
2021-01-20 11:39:47	ga_ls8c_ard_3-2-0_113077_2021-01-20_final
2021-03-02 11:33:02	ga_ls8c_ard_3-2-0_112076_2021-03-02_final
2021-03-11 09:48:18	ga_ls8c_ard_3-2-0_095077_2021-03-11_final
2021-04-01 10:08:19	ga_ls8c_ard_3-2-0_098081_2021-04-01_final
2021-04-03 11:33:14	ga_ls8c_ard_3-2-0_112077_2021-04-03_final
2021-04-10 09:59:41	ga_ls8c_ard_3-2-0_097075_2021-04-10_final
2021-04-12 09:48:07	ga_ls8c_ard_3-2-0_095077_2021-04-12_final
2021-04-12 09:48:31	ga_ls8c_ard_3-2-0_095078_2021-04-12_final
2021-04-19 11:33:07	ga_ls8c_ard_3-2-0_112077_2021-04-19_final
2021-04-28 09:48:22	ga_ls8c_ard_3-2-0_095078_2021-04-28_final
2021-04-28 11:27:15	ga_ls8c_ard_3-2-0_111078_2021-04-28_final
2021-05-09 11:08:39	ga_ls8c_ard_3-2-0_108078_2021-05-09_final
2021-05-12 09:59:31	ga_ls8c_ard_3-2-0_097075_2021-05-12_final
2021-05-12 11:39:12	ga_ls8c_ard_3-2-0_113077_2021-05-12_final
2021-05-23 11:21:10	ga_ls8c_ard_3-2-0_110078_2021-05-23_final
2021-05-28 09:59:40	ga_ls8c_ard_3-2-0_097075_2021-05-28_final
2021-06-15 09:48:38	ga_ls8c_ard_3-2-0_095078_2021-06-15_final
2021-06-18 11:58:02	ga_ls8c_ard_3-2-0_116077_2021-06-18_final
2021-06-22 11:34:08	ga_ls8c_ard_3-2-0_112079_2021-06-22_final
2021-07-05 11:04:27	ga_ls8c_ard_3-2-0_107082_2021-07-05_final
2021-07-15 09:59:52	ga_ls8c_ard_3-2-0_097075_2021-07-15_final
2021-07-15 10:00:16	ga_ls8c_ard_3-2-0_097076_2021-07-15_final
2021-07-24 09:54:10	ga_ls8c_ard_3-2-0_096076_2021-07-24_final
2021-07-26 11:21:31	ga_ls8c_ard_3-2-0_110078_2021-07-26_final
2021-07-26 11:21:54	ga_ls8c_ard_3-2-0_110079_2021-07-26_final
2021-07-28 11:09:10	ga_ls8c_ard_3-2-0_108078_2021-07-28_final
2021-07-31 10:00:01	ga_ls8c_ard_3-2-0_097075_2021-07-31_final
2021-07-31 10:00:24	ga_ls8c_ard_3-2-0_097076_2021-07-31_final
2021-07-31 11:39:18	ga_ls8c_ard_3-2-0_113076_2021-07-31_final
2021-08-05 11:58:16	ga_ls8c_ard_3-2-0_116077_2021-08-05_final
2021-08-07 10:06:38	ga_ls8c_ard_3-2-0_098076_2021-08-07_final
2021-08-11 11:21:37	ga_ls8c_ard_3-2-0_110078_2021-08-11_final
2021-08-11 11:22:01	ga_ls8c_ard_3-2-0_110079_2021-08-11_final
2021-08-16 11:40:12	ga_ls8c_ard_3-2-0_113078_2021-08-16_final
2021-08-20 09:38:12	ga_ls8c_ard_3-2-0_093082_2021-08-20_final
2021-08-25 09:54:22	ga_ls8c_ard_3-2-0_096076_2021-08-25_final
2021-08-27 09:42:49	ga_ls8c_ard_3-2-0_094078_2021-08-27_final
2021-08-27 11:22:06	ga_ls8c_ard_3-2-0_110079_2021-08-27_final
2021-09-01 10:00:11	ga_ls8c_ard_3-2-0_097075_2021-09-01_final
2021-09-08 10:06:48	ga_ls8c_ard_3-2-0_098076_2021-09-08_final
2021-09-10 09:54:27	ga_ls8c_ard_3-2-0_096076_2021-09-10_final
2021-09-17 10:00:15	ga_ls8c_ard_3-2-0_097075_2021-09-17_final
2021-09-24 10:06:51	ga_ls8c_ard_3-2-0_098076_2021-09-24_final
2021-09-28 09:42:57	ga_ls8c_ard_3-2-0_094078_2021-09-28_final
2021-09-29 10:27:25	ga_ls8c_ard_3-2-0_101081_2021-09-29_final
2021-10-03 10:00:20	ga_ls8c_ard_3-2-0_097075_2021-10-03_final
2021-10-03 10:00:44	ga_ls8c_ard_3-2-0_097076_2021-10-03_final
2021-10-12 11:33:53	ga_ls8c_ard_3-2-0_112077_2021-10-12_final
2021-10-14 09:43:02	ga_ls8c_ard_3-2-0_094078_2021-10-14_final
2021-10-19 10:00:23	ga_ls8c_ard_3-2-0_097075_2021-10-19_final
2021-10-21 09:49:14	ga_ls8c_ard_3-2-0_095078_2021-10-21_final
2021-10-25 09:29:18	ga_ls8c_ard_3-2-0_091090_2021-10-24_final
2021-10-26 10:06:58	ga_ls8c_ard_3-2-0_098076_2021-10-26_final
2021-10-28 11:33:54	ga_ls8c_ard_3-2-0_112077_2021-10-28_final
2021-11-06 09:48:48	ga_ls8c_ard_3-2-0_095077_2021-11-06_final
2021-12-03 11:09:30	ga_ls8c_ard_3-2-0_108078_2021-12-03_final
2022-01-09 09:49:02	ga_ls8c_ard_3-2-1_095078_2022-01-09_final
2022-02-01 09:53:31	ga_ls8c_ard_3-2-1_096074_2022-02-01_final
2022-03-21 11:33:44	ga_ls8c_ard_3-2-1_112078_2022-03-21_final
2022-03-25 11:08:57	ga_ls8c_ard_3-2-1_108078_2022-03-25_final
2022-03-30 09:48:32	ga_ls8c_ard_3-2-1_095078_2022-03-30_final
2022-04-06 09:53:57	ga_ls8c_ard_3-2-1_096076_2022-04-06_final
2022-04-06 11:33:14	ga_ls8c_ard_3-2-1_112077_2022-04-06_final
2022-04-08 09:42:49	ga_ls8c_ard_3-2-1_094079_2022-04-08_final
2022-04-15 09:48:38	ga_ls8c_ard_3-2-1_095078_2022-04-15_final
2022-04-22 09:53:35	ga_ls8c_ard_3-2-1_096075_2022-04-22_final
2022-04-22 11:33:16	ga_ls8c_ard_3-2-1_112077_2022-04-22_final
2022-04-26 11:08:55	ga_ls8c_ard_3-2-1_108078_2022-04-26_final
2022-05-26 09:42:57	ga_ls8c_ard_3-2-1_094079_2022-05-26_final
2022-06-28 10:26:31	ga_ls8c_ard_3-2-1_101079_2022-06-28_final
2022-07-11 11:33:42	ga_ls8c_ard_3-2-1_112077_2022-07-11_final
2022-07-13 11:18:32	ga_ls8c_ard_3-2-1_110070_2022-07-13_final
2022-07-13 11:24:31	ga_ls8c_ard_3-2-1_110085_2022-07-13_final
2022-07-15 11:09:21	ga_ls8c_ard_3-2-1_108078_2022-07-15_final
2022-07-20 09:49:05	ga_ls8c_ard_3-2-1_095078_2022-07-20_final
2022-08-12 11:34:22	ga_ls8c_ard_3-2-1_112078_2022-08-12_final
2022-08-21 09:49:20	ga_ls8c_ard_3-2-1_095078_2022-08-21_final
2022-08-23 11:12:40	ga_ls8c_ard_3-2-1_109070_2022-08-23_final
2022-08-28 11:34:00	ga_ls8c_ard_3-2-1_112077_2022-08-28_final
2022-09-06 09:48:57	ga_ls8c_ard_3-2-1_095077_2022-09-06_final
2022-09-17 11:09:47	ga_ls8c_ard_3-2-1_108078_2022-09-17_final
2022-09-22 09:49:03	ga_ls8c_ard_3-2-1_095077_2022-09-22_final
2022-10-15 11:33:58	ga_ls8c_ard_3-2-1_112077_2022-10-15_final
2022-10-19 11:09:42	ga_ls8c_ard_3-2-1_108078_2022-10-19_final
2022-10-25 10:32:16	ga_ls8c_ard_3-2-1_102077_2022-10-25_final
2022-11-04 11:09:47	ga_ls8c_ard_3-2-1_108078_2022-11-04_final
2023-01-07 11:09:33	ga_ls8c_ard_3-2-1_108078_2023-01-07_final
2023-01-23 11:09:29	ga_ls8c_ard_3-2-1_108078_2023-01-23_final
2023-02-08 11:09:30	ga_ls8c_ard_3-2-1_108078_2023-02-08_final
2023-02-20 11:33:38	ga_ls8c_ard_3-2-1_112077_2023-02-20_final
2023-02-24 11:09:13	ga_ls8c_ard_3-2-1_108078_2023-02-24_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