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
2021-01-06 08:10:58	ga_ls8c_ard_3-2-1_079080_2021-01-05_final
2022-03-11 12:31:15	ga_ls8c_ard_3-2-1_122067_2022-03-11_final
2022-10-28 12:38:05	ga_ls8c_ard_3-2-1_123067_2022-10-28_final
2023-01-24 10:09:05	ga_ls8c_ard_3-2-1_099066_2023-01-24_final
2023-03-20 11:57:17	ga_ls8c_ard_3-2-1_116075_2023-03-20_final
2023-06-21 08:10:11	ga_ls8c_ard_3-2-1_079080_2023-06-20_final
2023-07-05 11:42:05	ga_ls8c_ard_3-2-1_113084_2023-07-05_final
2023-10-01 09:14:14	ga_ls8c_ard_3-2-1_089084_2023-09-30_final
2023-10-02 11:35:59	ga_ls8c_ard_3-2-1_112083_2023-10-02_final
2023-10-06 11:11:15	ga_ls8c_ard_3-2-1_108083_2023-10-06_final
2023-10-13 11:12:18	ga_ls8c_ard_3-2-1_109070_2023-10-13_final
2023-10-19 10:39:11	ga_ls8c_ard_3-2-1_103080_2023-10-19_final
2023-11-01 10:07:09	ga_ls8c_ard_3-2-1_098077_2023-11-01_final
2023-11-01 11:47:14	ga_ls8c_ard_3-2-1_114080_2023-11-01_final
2023-11-03 11:35:40	ga_ls8c_ard_3-2-1_112082_2023-11-03_final
2023-11-04 10:34:51	ga_ls8c_ard_3-2-1_103069_2023-11-04_final
2023-11-05 11:24:29	ga_ls8c_ard_3-2-1_110085_2023-11-05_final
2023-11-07 09:32:01	ga_ls8c_ard_3-2-1_092082_2023-11-07_final
2023-11-07 11:10:54	ga_ls8c_ard_3-2-1_108082_2023-11-07_final
2023-11-08 11:51:45	ga_ls8c_ard_3-2-1_115076_2023-11-08_final
2023-11-09 10:55:43	ga_ls8c_ard_3-2-1_106075_2023-11-09_final
2023-11-09 10:57:43	ga_ls8c_ard_3-2-1_106080_2023-11-09_final
2023-11-14 11:12:18	ga_ls8c_ard_3-2-1_109070_2023-11-14_final
2023-11-17 10:03:57	ga_ls8c_ard_3-2-1_098069_2023-11-17_final
2023-11-19 11:32:54	ga_ls8c_ard_3-2-1_112075_2023-11-19_final
2023-11-20 10:35:17	ga_ls8c_ard_3-2-1_103070_2023-11-20_final
2023-11-20 10:37:41	ga_ls8c_ard_3-2-1_103076_2023-11-20_final
2023-11-22 10:25:20	ga_ls8c_ard_3-2-1_101076_2023-11-22_final
2023-11-25 10:57:50	ga_ls8c_ard_3-2-1_106080_2023-11-25_final
2023-11-26 09:59:49	ga_ls8c_ard_3-2-1_097074_2023-11-26_final
2023-11-26 11:39:06	ga_ls8c_ard_3-2-1_113075_2023-11-26_final
2023-11-28 09:47:50	ga_ls8c_ard_3-2-1_095075_2023-11-28_final
2023-11-30 09:36:39	ga_ls8c_ard_3-2-1_093078_2023-11-30_final
2023-11-30 11:16:20	ga_ls8c_ard_3-2-1_109080_2023-11-30_final
2023-12-03 10:03:07	ga_ls8c_ard_3-2-1_098067_2023-12-03_final
2023-12-03 11:46:47	ga_ls8c_ard_3-2-1_114079_2023-12-03_final
2023-12-04 10:47:57	ga_ls8c_ard_3-2-1_105071_2023-12-04_final
2023-12-04 10:52:44	ga_ls8c_ard_3-2-1_105083_2023-12-04_final
2023-12-06 10:39:08	ga_ls8c_ard_3-2-1_103080_2023-12-06_final
2023-12-07 11:23:35	ga_ls8c_ard_3-2-1_110083_2023-12-07_final
2023-12-11 09:18:50	ga_ls8c_ard_3-2-1_090080_2023-12-10_final
2023-12-15 10:31:51	ga_ls8c_ard_3-2-1_102077_2023-12-15_final
2023-12-15 10:33:51	ga_ls8c_ard_3-2-1_102082_2023-12-15_final
2023-12-16 09:35:50	ga_ls8c_ard_3-2-1_093076_2023-12-16_final
2023-12-16 11:13:31	ga_ls8c_ard_3-2-1_109073_2023-12-16_final
2023-12-25 11:07:45	ga_ls8c_ard_3-2-1_108074_2023-12-25_final
2023-12-28 09:59:21	ga_ls8c_ard_3-2-1_097073_2023-12-28_final
2023-12-28 11:41:25	ga_ls8c_ard_3-2-1_113081_2023-12-28_final
2023-12-29 10:44:35	ga_ls8c_ard_3-2-1_104078_2023-12-29_final
2024-01-01 09:36:10	ga_ls8c_ard_3-2-1_093077_2024-01-01_final
2024-01-01 11:13:03	ga_ls8c_ard_3-2-1_109072_2024-01-01_final
2024-01-02 11:58:42	ga_ls8c_ard_3-2-1_116078_2024-01-02_final
2024-01-04 11:45:30	ga_ls8c_ard_3-2-1_114076_2024-01-04_final
2024-01-04 11:46:18	ga_ls8c_ard_3-2-1_114078_2024-01-04_final
2024-01-08 11:21:12	ga_ls8c_ard_3-2-1_110077_2024-01-08_final
2024-01-09 10:25:35	ga_ls8c_ard_3-2-1_101077_2024-01-09_final
2024-01-10 09:33:10	ga_ls8c_ard_3-2-1_092085_2024-01-10_final
2024-01-11 10:15:38	ga_ls8c_ard_3-2-1_099083_2024-01-11_final
2024-01-11 10:16:26	ga_ls8c_ard_3-2-1_099085_2024-01-11_final
2024-01-13 09:59:41	ga_ls8c_ard_3-2-1_097074_2024-01-13_final
2024-01-13 11:41:22	ga_ls8c_ard_3-2-1_113081_2024-01-13_final
2024-01-13 11:42:34	ga_ls8c_ard_3-2-1_113084_2024-01-13_final
2024-01-14 10:43:45	ga_ls8c_ard_3-2-1_104076_2024-01-14_final
2024-01-15 09:50:31	ga_ls8c_ard_3-2-1_095082_2024-01-15_final
2024-01-15 09:52:07	ga_ls8c_ard_3-2-1_095086_2024-01-15_final
2024-01-16 10:29:47	ga_ls8c_ard_3-2-1_102072_2024-01-16_final
2024-01-19 09:25:47	ga_ls8c_ard_3-2-1_091082_2024-01-18_final
2024-01-20 10:08:14	ga_ls8c_ard_3-2-1_098080_2024-01-20_final
2024-01-26 09:33:03	ga_ls8c_ard_3-2-1_092085_2024-01-26_final
2024-01-26 09:34:15	ga_ls8c_ard_3-2-1_092088_2024-01-26_final
2024-01-29 11:42:04	ga_ls8c_ard_3-2-1_113083_2024-01-29_final
2024-02-02 11:17:23	ga_ls8c_ard_3-2-1_109083_2024-02-02_final
2024-02-04 11:00:39	ga_ls8c_ard_3-2-1_107072_2024-02-04_final
2024-02-04 11:01:27	ga_ls8c_ard_3-2-1_107074_2024-02-04_final
2024-02-05 10:05:50	ga_ls8c_ard_3-2-1_098074_2024-02-05_final
2024-02-06 10:50:18	ga_ls8c_ard_3-2-1_105077_2024-02-06_final
2024-02-09 11:24:00	ga_ls8c_ard_3-2-1_110084_2024-02-09_final
2024-02-16 09:52:03	ga_ls8c_ard_3-2-1_095086_2024-02-16_final
2024-02-17 10:33:43	ga_ls8c_ard_3-2-1_102082_2024-02-17_final
2024-02-18 09:39:18	ga_ls8c_ard_3-2-1_093085_2024-02-18_final
2024-02-18 11:13:00	ga_ls8c_ard_3-2-1_109072_2024-02-18_final
2024-02-19 10:20:10	ga_ls8c_ard_3-2-1_100079_2024-02-19_final
2024-02-20 09:26:32	ga_ls8c_ard_3-2-1_091084_2024-02-19_final
2024-02-20 11:04:13	ga_ls8c_ard_3-2-1_107081_2024-02-20_final
2024-02-21 11:47:29	ga_ls8c_ard_3-2-1_114081_2024-02-21_final
2024-02-23 11:35:30	ga_ls8c_ard_3-2-1_112082_2024-02-23_final
2024-02-24 10:35:29	ga_ls8c_ard_3-2-1_103071_2024-02-24_final
2024-02-24 10:36:17	ga_ls8c_ard_3-2-1_103073_2024-02-24_final
2024-02-25 11:18:45	ga_ls8c_ard_3-2-1_110071_2024-02-25_final
2024-02-25 11:20:20	ga_ls8c_ard_3-2-1_110075_2024-02-25_final
2024-03-01 09:59:08	ga_ls8c_ard_3-2-1_097073_2024-03-01_final
2024-03-04 10:29:35	ga_ls8c_ard_3-2-1_102072_2024-03-04_final
2024-03-04 10:30:23	ga_ls8c_ard_3-2-1_102074_2024-03-04_final
2024-03-07 09:26:44	ga_ls8c_ard_3-2-1_091085_2024-03-06_final
2024-03-07 09:28:44	ga_ls8c_ard_3-2-1_091090_2024-03-06_final
2024-03-08 10:05:12	ga_ls8c_ard_3-2-1_098073_2024-03-08_final
2024-03-08 10:06:00	ga_ls8c_ard_3-2-1_098075_2024-03-08_final
2024-03-08 10:06:48	ga_ls8c_ard_3-2-1_098077_2024-03-08_final
2024-04-02 11:37:16	ga_ls8c_ard_3-2-1_113072_2024-04-02_final
2024-04-06 11:16:55	ga_ls8c_ard_3-2-1_109083_2024-04-06_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