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
2017-11-07 10:09:01	ga_ls8c_ard_3-2-1_099066_2017-11-07_final
2019-12-16 12:31:34	ga_ls8c_ard_3-2-1_122067_2019-12-16_final
2020-01-24 12:37:35	ga_ls8c_ard_3-2-1_123067_2020-01-24_final
2022-01-23 11:42:37	ga_ls8c_ard_3-2-1_113084_2022-01-23_final
2022-09-28 09:16:21	ga_ls8c_ard_3-2-1_089088_2022-09-27_final
2022-11-12 11:57:58	ga_ls8c_ard_3-2-1_116075_2022-11-12_final
2023-02-17 12:37:41	ga_ls8c_ard_3-2-1_123067_2023-02-17_final
2023-10-05 10:23:12	ga_ls8c_ard_3-2-1_101071_2023-10-05_final
2023-10-08 09:20:26	ga_ls8c_ard_3-2-1_090084_2023-10-07_final
2023-10-11 09:47:22	ga_ls8c_ard_3-2-1_095074_2023-10-11_final
2023-10-13 09:40:36	ga_ls8c_ard_3-2-1_093088_2023-10-13_final
2023-10-13 11:12:18	ga_ls8c_ard_3-2-1_109070_2023-10-13_final
2023-10-22 11:06:31	ga_ls8c_ard_3-2-1_108071_2023-10-22_final
2023-10-23 11:51:47	ga_ls8c_ard_3-2-1_115076_2023-10-23_final
2023-10-24 12:31:28	ga_ls8c_ard_3-2-1_122067_2023-10-24_final
2023-10-26 10:43:01	ga_ls8c_ard_3-2-1_104074_2023-10-26_final
2023-10-31 09:27:05	ga_ls8c_ard_3-2-1_091085_2023-10-30_final
2023-11-01 10:03:34	ga_ls8c_ard_3-2-1_098068_2023-11-01_final
2023-11-05 11:18:54	ga_ls8c_ard_3-2-1_110071_2023-11-05_final
2023-11-06 10:23:16	ga_ls8c_ard_3-2-1_101071_2023-11-06_final
2023-11-06 10:23:40	ga_ls8c_ard_3-2-1_101072_2023-11-06_final
2023-11-07 09:33:13	ga_ls8c_ard_3-2-1_092085_2023-11-07_final
2023-11-09 10:55:19	ga_ls8c_ard_3-2-1_106074_2023-11-09_final
2023-11-09 10:56:07	ga_ls8c_ard_3-2-1_106076_2023-11-09_final
2023-11-20 10:35:17	ga_ls8c_ard_3-2-1_103070_2023-11-20_final
2023-11-20 10:39:16	ga_ls8c_ard_3-2-1_103080_2023-11-20_final
2023-11-22 10:26:07	ga_ls8c_ard_3-2-1_101078_2023-11-22_final
2023-11-26 09:59:01	ga_ls8c_ard_3-2-1_097072_2023-11-26_final
2023-11-26 09:59:25	ga_ls8c_ard_3-2-1_097073_2023-11-26_final
2023-11-26 09:59:49	ga_ls8c_ard_3-2-1_097074_2023-11-26_final
2023-11-27 10:41:04	ga_ls8c_ard_3-2-1_104069_2023-11-27_final
2023-11-30 09:39:03	ga_ls8c_ard_3-2-1_093084_2023-11-30_final
2023-12-03 10:07:06	ga_ls8c_ard_3-2-1_098077_2023-12-03_final
2023-12-03 11:46:23	ga_ls8c_ard_3-2-1_114078_2023-12-03_final
2023-12-04 10:50:21	ga_ls8c_ard_3-2-1_105077_2023-12-04_final
2023-12-05 09:57:54	ga_ls8c_ard_3-2-1_096085_2023-12-05_final
2023-12-09 11:10:03	ga_ls8c_ard_3-2-1_108080_2023-12-09_final
2023-12-11 09:22:26	ga_ls8c_ard_3-2-1_090089_2023-12-10_final
2023-12-13 10:42:59	ga_ls8c_ard_3-2-1_104074_2023-12-13_final
2023-12-16 11:12:20	ga_ls8c_ard_3-2-1_109070_2023-12-16_final
2023-12-21 11:35:41	ga_ls8c_ard_3-2-1_112082_2023-12-21_final
2023-12-23 11:18:56	ga_ls8c_ard_3-2-1_110071_2023-12-23_final
2023-12-28 10:03:44	ga_ls8c_ard_3-2-1_097084_2023-12-28_final
2023-12-28 11:41:49	ga_ls8c_ard_3-2-1_113082_2023-12-28_final
2023-12-29 10:43:00	ga_ls8c_ard_3-2-1_104074_2023-12-29_final
2024-01-04 11:46:18	ga_ls8c_ard_3-2-1_114078_2024-01-04_final
2024-01-06 09:57:51	ga_ls8c_ard_3-2-1_096085_2024-01-06_final
2024-01-07 10:35:32	ga_ls8c_ard_3-2-1_103071_2024-01-07_final
2024-01-08 09:41:31	ga_ls8c_ard_3-2-1_094075_2024-01-08_final
2024-01-11 10:12:50	ga_ls8c_ard_3-2-1_099076_2024-01-11_final
2024-01-11 10:14:26	ga_ls8c_ard_3-2-1_099080_2024-01-11_final
2024-01-13 11:42:34	ga_ls8c_ard_3-2-1_113084_2024-01-13_final
2024-01-19 11:04:16	ga_ls8c_ard_3-2-1_107081_2024-01-19_final
2024-01-20 10:05:26	ga_ls8c_ard_3-2-1_098073_2024-01-20_final
2024-01-20 10:07:50	ga_ls8c_ard_3-2-1_098079_2024-01-20_final
2024-01-21 10:52:17	ga_ls8c_ard_3-2-1_105082_2024-01-21_final
2024-01-23 10:39:30	ga_ls8c_ard_3-2-1_103081_2024-01-23_final
2024-01-24 11:20:21	ga_ls8c_ard_3-2-1_110075_2024-01-24_final
2024-01-25 10:27:30	ga_ls8c_ard_3-2-1_101082_2024-01-25_final
2024-01-26 09:34:15	ga_ls8c_ard_3-2-1_092088_2024-01-26_final
2024-01-31 11:30:08	ga_ls8c_ard_3-2-1_111084_2024-01-31_final
2024-02-03 10:21:46	ga_ls8c_ard_3-2-1_100083_2024-02-03_final
2024-02-04 11:05:27	ga_ls8c_ard_3-2-1_107084_2024-02-04_final
2024-02-05 10:06:38	ga_ls8c_ard_3-2-1_098076_2024-02-05_final
2024-02-05 11:46:19	ga_ls8c_ard_3-2-1_114078_2024-02-05_final
2024-02-06 09:13:01	ga_ls8c_ard_3-2-1_089081_2024-02-05_final
2024-02-12 10:14:25	ga_ls8c_ard_3-2-1_099080_2024-02-12_final
2024-02-12 10:15:36	ga_ls8c_ard_3-2-1_099083_2024-02-12_final
2024-02-13 09:22:22	ga_ls8c_ard_3-2-1_090089_2024-02-12_final
2024-02-14 11:42:07	ga_ls8c_ard_3-2-1_113083_2024-02-14_final
2024-02-18 11:13:24	ga_ls8c_ard_3-2-1_109073_2024-02-18_final
2024-02-18 11:14:35	ga_ls8c_ard_3-2-1_109076_2024-02-18_final
2024-02-19 10:18:34	ga_ls8c_ard_3-2-1_100075_2024-02-19_final
2024-02-20 09:26:32	ga_ls8c_ard_3-2-1_091084_2024-02-19_final
2024-02-21 11:47:29	ga_ls8c_ard_3-2-1_114081_2024-02-21_final
2024-02-23 11:35:54	ga_ls8c_ard_3-2-1_112083_2024-02-23_final
2024-02-28 10:14:19	ga_ls8c_ard_3-2-1_099080_2024-02-28_final
2024-02-29 09:17:53	ga_ls8c_ard_3-2-1_090078_2024-02-28_final
2024-03-01 10:01:32	ga_ls8c_ard_3-2-1_097079_2024-03-01_final
2024-03-05 09:39:08	ga_ls8c_ard_3-2-1_093085_2024-03-05_final
2024-03-06 10:17:35	ga_ls8c_ard_3-2-1_100073_2024-03-06_final
2024-03-07 11:05:13	ga_ls8c_ard_3-2-1_107084_2024-03-07_final
2024-03-08 10:05:12	ga_ls8c_ard_3-2-1_098073_2024-03-08_final
2024-03-08 10:07:36	ga_ls8c_ard_3-2-1_098079_2024-03-08_final
2024-03-08 11:46:29	ga_ls8c_ard_3-2-1_114079_2024-03-08_final
2024-03-11 10:36:06	ga_ls8c_ard_3-2-1_103073_2024-03-11_final
2024-03-13 10:27:19	ga_ls8c_ard_3-2-1_101082_2024-03-13_final
2024-03-15 11:51:50	ga_ls8c_ard_3-2-1_115077_2024-03-15_final
2024-03-16 09:22:06	ga_ls8c_ard_3-2-1_090089_2024-03-15_final
2024-03-18 10:41:25	ga_ls8c_ard_3-2-1_104071_2024-03-18_final
2024-03-21 11:12:41	ga_ls8c_ard_3-2-1_109072_2024-03-21_final
2024-03-25 09:13:23	ga_ls8c_ard_3-2-1_089083_2024-03-24_final
2024-03-26 09:52:37	ga_ls8c_ard_3-2-1_096073_2024-03-26_final
2024-03-26 11:35:29	ga_ls8c_ard_3-2-1_112083_2024-03-26_final
2024-03-27 10:39:02	ga_ls8c_ard_3-2-1_103081_2024-03-27_final
2024-03-29 10:22:41	ga_ls8c_ard_3-2-1_101071_2024-03-29_final
2024-03-29 10:23:29	ga_ls8c_ard_3-2-1_101073_2024-03-29_final
2024-03-31 10:11:08	ga_ls8c_ard_3-2-1_099073_2024-03-31_final
2024-03-31 11:50:49	ga_ls8c_ard_3-2-1_115075_2024-03-31_final
2024-04-02 11:42:03	ga_ls8c_ard_3-2-1_113084_2024-04-02_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