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
2019-12-19 08:11:00	ga_ls8c_ard_3-2-1_079080_2019-12-18_final
2021-03-24 12:31:05	ga_ls8c_ard_3-2-1_122067_2021-03-24_final
2023-02-16 08:42:40	ga_ls8c_ard_3-2-1_084082_2023-02-15_final
2023-02-17 12:37:41	ga_ls8c_ard_3-2-1_123067_2023-02-17_final
2023-03-15 10:00:43	ga_ls8c_ard_3-2-1_097077_2023-03-15_final
2023-03-24 11:32:06	ga_ls8c_ard_3-2-1_112074_2023-03-24_final
2023-06-30 09:42:13	ga_ls8c_ard_3-2-1_094078_2023-06-30_final
2023-06-30 11:21:30	ga_ls8c_ard_3-2-1_110079_2023-06-30_final
2023-07-02 09:29:53	ga_ls8c_ard_3-2-1_092078_2023-07-01_final
2023-07-02 11:08:22	ga_ls8c_ard_3-2-1_108077_2023-07-02_final
2023-07-07 11:26:57	ga_ls8c_ard_3-2-1_111077_2023-07-07_final
2023-07-08 10:31:44	ga_ls8c_ard_3-2-1_102078_2023-07-08_final
2023-07-08 10:32:08	ga_ls8c_ard_3-2-1_102079_2023-07-08_final
2023-07-09 11:15:24	ga_ls8c_ard_3-2-1_109079_2023-07-09_final
2023-07-10 11:57:52	ga_ls8c_ard_3-2-1_116077_2023-07-10_final
2023-07-14 11:33:10	ga_ls8c_ard_3-2-1_112077_2023-07-14_final
2023-07-14 11:33:34	ga_ls8c_ard_3-2-1_112078_2023-07-14_final
2023-07-18 11:08:27	ga_ls8c_ard_3-2-1_108077_2023-07-18_final
2023-07-19 10:14:25	ga_ls8c_ard_3-2-1_099081_2023-07-19_final
2023-07-19 11:50:30	ga_ls8c_ard_3-2-1_115074_2023-07-19_final
2023-07-20 09:19:11	ga_ls8c_ard_3-2-1_090082_2023-07-19_final
2023-07-21 11:39:45	ga_ls8c_ard_3-2-1_113078_2023-07-21_final
2023-07-23 11:27:01	ga_ls8c_ard_3-2-1_111077_2023-07-23_final
2023-07-24 10:31:49	ga_ls8c_ard_3-2-1_102078_2023-07-24_final
2023-07-24 10:32:13	ga_ls8c_ard_3-2-1_102079_2023-07-24_final
2023-07-30 09:54:00	ga_ls8c_ard_3-2-1_096076_2023-07-30_final
2023-07-30 09:54:24	ga_ls8c_ard_3-2-1_096077_2023-07-30_final
2023-08-01 09:42:51	ga_ls8c_ard_3-2-1_094079_2023-08-01_final
2023-08-01 11:21:21	ga_ls8c_ard_3-2-1_110078_2023-08-01_final
2023-08-03 11:08:36	ga_ls8c_ard_3-2-1_108077_2023-08-03_final
2023-08-09 10:31:07	ga_ls8c_ard_3-2-1_102076_2023-08-09_final
2023-08-09 10:31:55	ga_ls8c_ard_3-2-1_102078_2023-08-09_final
2023-08-10 09:36:41	ga_ls8c_ard_3-2-1_093079_2023-08-10_final
2023-08-15 09:54:06	ga_ls8c_ard_3-2-1_096076_2023-08-15_final
2023-08-15 09:54:30	ga_ls8c_ard_3-2-1_096077_2023-08-15_final
2023-08-15 11:32:59	ga_ls8c_ard_3-2-1_112076_2023-08-15_final
2023-08-17 09:42:33	ga_ls8c_ard_3-2-1_094078_2023-08-17_final
2023-08-20 10:14:41	ga_ls8c_ard_3-2-1_099081_2023-08-20_final
2023-08-22 11:40:02	ga_ls8c_ard_3-2-1_113078_2023-08-22_final
2023-08-24 09:49:11	ga_ls8c_ard_3-2-1_095079_2023-08-24_final
2023-08-24 11:27:17	ga_ls8c_ard_3-2-1_111077_2023-08-24_final
2023-08-24 11:28:04	ga_ls8c_ard_3-2-1_111079_2023-08-24_final
2023-08-25 10:32:27	ga_ls8c_ard_3-2-1_102079_2023-08-25_final
2023-08-26 11:15:43	ga_ls8c_ard_3-2-1_109079_2023-08-26_final
2023-08-31 09:54:11	ga_ls8c_ard_3-2-1_096076_2023-08-31_final
2023-08-31 09:55:46	ga_ls8c_ard_3-2-1_096080_2023-08-31_final
2023-08-31 11:33:04	ga_ls8c_ard_3-2-1_112076_2023-08-31_final
2023-09-02 09:42:36	ga_ls8c_ard_3-2-1_094078_2023-09-02_final
2023-09-02 11:21:29	ga_ls8c_ard_3-2-1_110078_2023-09-02_final
2023-09-02 11:21:53	ga_ls8c_ard_3-2-1_110079_2023-09-02_final
2023-09-03 10:27:04	ga_ls8c_ard_3-2-1_101081_2023-09-03_final
2023-09-07 11:40:00	ga_ls8c_ard_3-2-1_113078_2023-09-07_final
2023-09-09 09:49:11	ga_ls8c_ard_3-2-1_095079_2023-09-09_final
2023-09-10 10:31:16	ga_ls8c_ard_3-2-1_102076_2023-09-10_final
2023-09-10 10:32:28	ga_ls8c_ard_3-2-1_102079_2023-09-10_final
2023-09-14 10:08:35	ga_ls8c_ard_3-2-1_098081_2023-09-14_final
2023-09-16 11:33:31	ga_ls8c_ard_3-2-1_112077_2023-09-16_final
2023-09-17 10:38:42	ga_ls8c_ard_3-2-1_103079_2023-09-17_final
2023-09-19 10:26:21	ga_ls8c_ard_3-2-1_101079_2023-09-19_final
2023-09-23 11:39:19	ga_ls8c_ard_3-2-1_113076_2023-09-23_final
2023-09-23 11:40:07	ga_ls8c_ard_3-2-1_113078_2023-09-23_final
2023-09-23 11:40:31	ga_ls8c_ard_3-2-1_113079_2023-09-23_final
2023-09-26 10:31:22	ga_ls8c_ard_3-2-1_102076_2023-09-26_final
2023-09-30 10:08:40	ga_ls8c_ard_3-2-1_098081_2023-09-30_final
2023-10-02 09:54:18	ga_ls8c_ard_3-2-1_096076_2023-10-02_final
2023-10-02 11:33:35	ga_ls8c_ard_3-2-1_112077_2023-10-02_final
2023-10-02 11:33:59	ga_ls8c_ard_3-2-1_112078_2023-10-02_final
2023-10-03 10:37:10	ga_ls8c_ard_3-2-1_103075_2023-10-03_final
2023-10-04 11:21:37	ga_ls8c_ard_3-2-1_110078_2023-10-04_final
2023-10-06 11:08:51	ga_ls8c_ard_3-2-1_108077_2023-10-06_final
2023-10-09 11:40:11	ga_ls8c_ard_3-2-1_113078_2023-10-09_final
2023-10-11 11:27:51	ga_ls8c_ard_3-2-1_111078_2023-10-11_final
2023-10-19 10:38:47	ga_ls8c_ard_3-2-1_103079_2023-10-19_final
2023-10-20 09:43:09	ga_ls8c_ard_3-2-1_094079_2023-10-20_final
2023-10-21 10:26:26	ga_ls8c_ard_3-2-1_101079_2023-10-21_final
2023-10-21 10:26:50	ga_ls8c_ard_3-2-1_101080_2023-10-21_final
2023-11-01 10:08:45	ga_ls8c_ard_3-2-1_098081_2023-11-01_final
2023-11-05 09:42:49	ga_ls8c_ard_3-2-1_094078_2023-11-05_final
2023-11-06 10:26:28	ga_ls8c_ard_3-2-1_101079_2023-11-06_final
2023-11-12 09:48:33	ga_ls8c_ard_3-2-1_095077_2023-11-12_final
2023-11-19 11:33:41	ga_ls8c_ard_3-2-1_112077_2023-11-19_final
2023-11-26 11:39:53	ga_ls8c_ard_3-2-1_113077_2023-11-26_final
2023-12-07 11:21:35	ga_ls8c_ard_3-2-1_110078_2023-12-07_final
2023-12-14 09:48:35	ga_ls8c_ard_3-2-1_095077_2023-12-14_final
2023-12-14 09:48:58	ga_ls8c_ard_3-2-1_095078_2023-12-14_final
2023-12-28 11:39:50	ga_ls8c_ard_3-2-1_113077_2023-12-28_final
2024-01-03 11:00:40	ga_ls8c_ard_3-2-1_107072_2024-01-03_final
2024-01-22 11:33:56	ga_ls8c_ard_3-2-1_112078_2024-01-22_final
2024-01-24 09:42:40	ga_ls8c_ard_3-2-1_094078_2024-01-24_final
2024-01-29 09:58:47	ga_ls8c_ard_3-2-1_097072_2024-01-29_final
2024-02-07 11:33:34	ga_ls8c_ard_3-2-1_112077_2024-02-07_final
2024-02-07 11:34:22	ga_ls8c_ard_3-2-1_112079_2024-02-07_final
2024-02-10 10:26:23	ga_ls8c_ard_3-2-1_101079_2024-02-10_final
2024-02-14 09:58:50	ga_ls8c_ard_3-2-1_097072_2024-02-14_final
2024-02-16 11:27:45	ga_ls8c_ard_3-2-1_111078_2024-02-16_final
2024-02-19 11:58:15	ga_ls8c_ard_3-2-1_116077_2024-02-19_final
2024-02-23 11:34:19	ga_ls8c_ard_3-2-1_112079_2024-02-23_final
2024-02-26 10:26:18	ga_ls8c_ard_3-2-1_101079_2024-02-26_final
2024-02-27 11:08:45	ga_ls8c_ard_3-2-1_108077_2024-02-27_final
2024-03-01 10:00:44	ga_ls8c_ard_3-2-1_097077_2024-03-01_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