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
2019-10-13 12:31:40	ga_ls8c_ard_3-2-1_122067_2019-10-13_final
2021-02-11 12:37:33	ga_ls8c_ard_3-2-1_123067_2021-02-11_final
2021-09-06 08:42:40	ga_ls8c_ard_3-2-1_084082_2021-09-05_final
2022-11-12 08:43:00	ga_ls8c_ard_3-2-1_084082_2022-11-11_final
2023-09-26 10:32:10	ga_ls8c_ard_3-2-1_102078_2023-09-26_final
2023-09-27 11:15:26	ga_ls8c_ard_3-2-1_109078_2023-09-27_final
2023-09-30 10:06:40	ga_ls8c_ard_3-2-1_098076_2023-09-30_final
2023-10-04 09:42:20	ga_ls8c_ard_3-2-1_094077_2023-10-04_final
2023-10-07 10:12:27	ga_ls8c_ard_3-2-1_099075_2023-10-07_final
2023-10-09 11:40:35	ga_ls8c_ard_3-2-1_113079_2023-10-09_final
2023-10-11 11:27:27	ga_ls8c_ard_3-2-1_111077_2023-10-11_final
2023-10-11 11:28:15	ga_ls8c_ard_3-2-1_111079_2023-10-11_final
2023-10-11 11:29:02	ga_ls8c_ard_3-2-1_111081_2023-10-11_final
2023-10-12 10:32:13	ga_ls8c_ard_3-2-1_102078_2023-10-12_final
2023-10-12 10:32:37	ga_ls8c_ard_3-2-1_102079_2023-10-12_final
2023-10-13 11:15:29	ga_ls8c_ard_3-2-1_109078_2023-10-13_final
2023-10-14 10:21:04	ga_ls8c_ard_3-2-1_100081_2023-10-14_final
2023-10-15 09:24:38	ga_ls8c_ard_3-2-1_091079_2023-10-14_final
2023-10-17 10:50:45	ga_ls8c_ard_3-2-1_105078_2023-10-17_final
2023-10-20 11:22:02	ga_ls8c_ard_3-2-1_110079_2023-10-20_final
2023-10-20 11:22:50	ga_ls8c_ard_3-2-1_110081_2023-10-20_final
2023-10-21 10:27:14	ga_ls8c_ard_3-2-1_101081_2023-10-21_final
2023-10-23 10:12:30	ga_ls8c_ard_3-2-1_099075_2023-10-23_final
2023-10-23 10:14:53	ga_ls8c_ard_3-2-1_099081_2023-10-23_final
2023-10-25 10:00:09	ga_ls8c_ard_3-2-1_097075_2023-10-25_final
2023-10-25 11:39:26	ga_ls8c_ard_3-2-1_113076_2023-10-25_final
2023-10-25 11:40:14	ga_ls8c_ard_3-2-1_113078_2023-10-25_final
2023-10-26 10:45:01	ga_ls8c_ard_3-2-1_104079_2023-10-26_final
2023-10-27 11:27:29	ga_ls8c_ard_3-2-1_111077_2023-10-27_final
2023-10-28 10:31:28	ga_ls8c_ard_3-2-1_102076_2023-10-28_final
2023-10-28 10:32:40	ga_ls8c_ard_3-2-1_102079_2023-10-28_final
2023-10-29 11:15:32	ga_ls8c_ard_3-2-1_109078_2023-10-29_final
2023-10-30 10:21:07	ga_ls8c_ard_3-2-1_100081_2023-10-30_final
2023-10-30 11:58:24	ga_ls8c_ard_3-2-1_116077_2023-10-30_final
2023-11-01 10:06:45	ga_ls8c_ard_3-2-1_098076_2023-11-01_final
2023-11-02 10:50:49	ga_ls8c_ard_3-2-1_105078_2023-11-02_final
2023-11-03 09:55:11	ga_ls8c_ard_3-2-1_096078_2023-11-03_final
2023-11-03 11:33:16	ga_ls8c_ard_3-2-1_112076_2023-11-03_final
2023-11-03 11:33:40	ga_ls8c_ard_3-2-1_112077_2023-11-03_final
2023-11-05 09:43:13	ga_ls8c_ard_3-2-1_094079_2023-11-05_final
2023-11-10 11:40:10	ga_ls8c_ard_3-2-1_113078_2023-11-10_final
2023-11-11 10:45:45	ga_ls8c_ard_3-2-1_104081_2023-11-11_final
2023-11-12 09:49:21	ga_ls8c_ard_3-2-1_095079_2023-11-12_final
2023-11-19 11:33:18	ga_ls8c_ard_3-2-1_112076_2023-11-19_final
2023-11-22 10:26:31	ga_ls8c_ard_3-2-1_101079_2023-11-22_final
2023-11-26 11:40:17	ga_ls8c_ard_3-2-1_113078_2023-11-26_final
2023-11-26 11:40:41	ga_ls8c_ard_3-2-1_113079_2023-11-26_final
2023-11-28 11:28:19	ga_ls8c_ard_3-2-1_111079_2023-11-28_final
2023-11-30 11:15:32	ga_ls8c_ard_3-2-1_109078_2023-11-30_final
2023-12-03 10:06:42	ga_ls8c_ard_3-2-1_098076_2023-12-03_final
2023-12-04 10:50:45	ga_ls8c_ard_3-2-1_105078_2023-12-04_final
2023-12-05 11:34:23	ga_ls8c_ard_3-2-1_112079_2023-12-05_final
2023-12-06 10:37:08	ga_ls8c_ard_3-2-1_103075_2023-12-06_final
2023-12-12 10:00:55	ga_ls8c_ard_3-2-1_097077_2023-12-12_final
2023-12-15 10:32:39	ga_ls8c_ard_3-2-1_102079_2023-12-15_final
2023-12-19 10:06:45	ga_ls8c_ard_3-2-1_098076_2023-12-19_final
2023-12-21 09:54:24	ga_ls8c_ard_3-2-1_096076_2023-12-21_final
2023-12-21 11:33:17	ga_ls8c_ard_3-2-1_112076_2023-12-21_final
2023-12-23 11:21:43	ga_ls8c_ard_3-2-1_110078_2023-12-23_final
2023-12-24 10:26:53	ga_ls8c_ard_3-2-1_101080_2023-12-24_final
2023-12-28 10:00:09	ga_ls8c_ard_3-2-1_097075_2023-12-28_final
2023-12-28 10:00:56	ga_ls8c_ard_3-2-1_097077_2023-12-28_final
2024-01-06 11:33:08	ga_ls8c_ard_3-2-1_112076_2024-01-06_final
2024-01-07 10:37:08	ga_ls8c_ard_3-2-1_103075_2024-01-07_final
2024-01-13 11:39:46	ga_ls8c_ard_3-2-1_113077_2024-01-13_final
2024-01-15 09:48:56	ga_ls8c_ard_3-2-1_095078_2024-01-15_final
2024-01-15 09:49:19	ga_ls8c_ard_3-2-1_095079_2024-01-15_final
2024-01-15 11:27:49	ga_ls8c_ard_3-2-1_111078_2024-01-15_final
2024-01-15 11:28:12	ga_ls8c_ard_3-2-1_111079_2024-01-15_final
2024-01-18 11:58:18	ga_ls8c_ard_3-2-1_116077_2024-01-18_final
2024-01-20 10:08:38	ga_ls8c_ard_3-2-1_098081_2024-01-20_final
2024-01-22 09:54:15	ga_ls8c_ard_3-2-1_096076_2024-01-22_final
2024-01-22 09:54:39	ga_ls8c_ard_3-2-1_096077_2024-01-22_final
2024-01-22 11:33:08	ga_ls8c_ard_3-2-1_112076_2024-01-22_final
2024-01-29 11:40:28	ga_ls8c_ard_3-2-1_113079_2024-01-29_final
2024-01-31 09:48:27	ga_ls8c_ard_3-2-1_095077_2024-01-31_final
2024-01-31 09:48:51	ga_ls8c_ard_3-2-1_095078_2024-01-31_final
2024-01-31 09:49:15	ga_ls8c_ard_3-2-1_095079_2024-01-31_final
2024-01-31 11:28:32	ga_ls8c_ard_3-2-1_111080_2024-01-31_final
2024-02-01 10:32:31	ga_ls8c_ard_3-2-1_102079_2024-02-01_final
2024-02-03 11:58:16	ga_ls8c_ard_3-2-1_116077_2024-02-03_final
2024-02-07 09:54:17	ga_ls8c_ard_3-2-1_096076_2024-02-07_final
2024-02-10 10:26:47	ga_ls8c_ard_3-2-1_101080_2024-02-10_final
2024-02-14 11:40:07	ga_ls8c_ard_3-2-1_113078_2024-02-14_final
2024-02-16 11:28:09	ga_ls8c_ard_3-2-1_111079_2024-02-16_final
2024-02-18 11:15:23	ga_ls8c_ard_3-2-1_109078_2024-02-18_final
2024-02-18 11:15:47	ga_ls8c_ard_3-2-1_109079_2024-02-18_final
2024-02-23 11:33:31	ga_ls8c_ard_3-2-1_112077_2024-02-23_final
2024-02-24 10:37:05	ga_ls8c_ard_3-2-1_103075_2024-02-24_final
2024-02-24 10:38:41	ga_ls8c_ard_3-2-1_103079_2024-02-24_final
2024-02-25 09:44:39	ga_ls8c_ard_3-2-1_094083_2024-02-25_final
2024-02-25 11:21:32	ga_ls8c_ard_3-2-1_110078_2024-02-25_final
2024-02-26 10:26:42	ga_ls8c_ard_3-2-1_101080_2024-02-26_final
2024-03-01 09:58:44	ga_ls8c_ard_3-2-1_097072_2024-03-01_final
2024-03-01 11:40:01	ga_ls8c_ard_3-2-1_113078_2024-03-01_final
2024-03-01 11:40:25	ga_ls8c_ard_3-2-1_113079_2024-03-01_final
2024-03-11 10:38:29	ga_ls8c_ard_3-2-1_103079_2024-03-11_final
2024-04-02 10:00:22	ga_ls8c_ard_3-2-1_097077_2024-04-02_final
2024-04-02 10:01:58	ga_ls8c_ard_3-2-1_097081_2024-04-02_final
2024-04-04 09:46:49	ga_ls8c_ard_3-2-1_095074_2024-04-04_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years