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
2020-01-23 08:42:33	ga_ls8c_ard_3-2-1_084082_2020-01-22_final
2020-03-28 12:37:12	ga_ls8c_ard_3-2-1_123067_2020-03-28_final
2022-08-24 11:57:55	ga_ls8c_ard_3-2-1_116075_2022-08-24_final
2022-10-06 11:43:02	ga_ls8c_ard_3-2-1_113084_2022-10-06_final
2022-11-12 11:57:58	ga_ls8c_ard_3-2-1_116075_2022-11-12_final
2023-04-05 11:57:05	ga_ls8c_ard_3-2-1_116075_2023-04-05_final
2023-08-01 09:40:52	ga_ls8c_ard_3-2-1_094074_2023-08-01_final
2023-08-03 09:29:19	ga_ls8c_ard_3-2-1_092076_2023-08-02_final
2023-08-03 09:30:54	ga_ls8c_ard_3-2-1_092080_2023-08-03_final
2023-08-03 11:05:24	ga_ls8c_ard_3-2-1_108069_2023-08-03_final
2023-08-05 10:53:51	ga_ls8c_ard_3-2-1_106071_2023-08-05_final
2023-08-10 11:17:34	ga_ls8c_ard_3-2-1_109084_2023-08-10_final
2023-08-13 10:06:49	ga_ls8c_ard_3-2-1_098077_2023-08-13_final
2023-08-19 11:07:30	ga_ls8c_ard_3-2-1_108074_2023-08-19_final
2023-08-29 10:09:20	ga_ls8c_ard_3-2-1_098083_2023-08-29_final
2023-08-30 09:11:19	ga_ls8c_ard_3-2-1_089077_2023-08-29_final
2023-09-02 09:41:01	ga_ls8c_ard_3-2-1_094074_2023-09-02_final
2023-09-03 10:25:52	ga_ls8c_ard_3-2-1_101078_2023-09-03_final
2023-09-04 09:33:26	ga_ls8c_ard_3-2-1_092086_2023-09-04_final
2023-09-04 11:06:20	ga_ls8c_ard_3-2-1_108071_2023-09-04_final
2023-09-05 11:50:47	ga_ls8c_ard_3-2-1_115074_2023-09-05_final
2023-09-06 10:58:44	ga_ls8c_ard_3-2-1_106083_2023-09-06_final
2023-09-11 11:11:45	ga_ls8c_ard_3-2-1_109069_2023-09-11_final
2023-09-13 09:28:30	ga_ls8c_ard_3-2-1_091089_2023-09-12_final
2023-09-15 09:12:34	ga_ls8c_ard_3-2-1_089080_2023-09-14_final
2023-09-15 10:47:04	ga_ls8c_ard_3-2-1_105069_2023-09-15_final
2023-09-18 09:46:17	ga_ls8c_ard_3-2-1_094087_2023-09-18_final
2023-09-19 10:27:33	ga_ls8c_ard_3-2-1_101082_2023-09-19_final
2023-10-01 09:12:38	ga_ls8c_ard_3-2-1_089080_2023-09-30_final
2023-10-01 10:46:20	ga_ls8c_ard_3-2-1_105067_2023-10-01_final
2023-10-01 10:48:44	ga_ls8c_ard_3-2-1_105073_2023-10-01_final
2023-10-07 11:52:08	ga_ls8c_ard_3-2-1_115077_2023-10-07_final
2023-10-08 09:20:26	ga_ls8c_ard_3-2-1_090084_2023-10-07_final
2023-10-09 09:58:55	ga_ls8c_ard_3-2-1_097072_2023-10-09_final
2023-10-09 11:42:35	ga_ls8c_ard_3-2-1_113084_2023-10-09_final
2023-10-13 11:12:18	ga_ls8c_ard_3-2-1_109070_2023-10-13_final
2023-10-13 11:12:42	ga_ls8c_ard_3-2-1_109071_2023-10-13_final
2023-10-14 08:42:35	ga_ls8c_ard_3-2-1_084082_2023-10-13_final
2023-10-15 11:01:56	ga_ls8c_ard_3-2-1_107075_2023-10-15_final
2023-10-16 10:03:31	ga_ls8c_ard_3-2-1_098068_2023-10-16_final
2023-10-16 10:07:54	ga_ls8c_ard_3-2-1_098079_2023-10-16_final
2023-10-22 09:29:13	ga_ls8c_ard_3-2-1_092075_2023-10-21_final
2023-10-22 11:05:43	ga_ls8c_ard_3-2-1_108069_2023-10-22_final
2023-10-23 10:12:54	ga_ls8c_ard_3-2-1_099076_2023-10-23_final
2023-10-29 09:40:15	ga_ls8c_ard_3-2-1_093087_2023-10-29_final
2023-10-29 11:12:21	ga_ls8c_ard_3-2-1_109070_2023-10-29_final
2023-10-30 10:21:31	ga_ls8c_ard_3-2-1_100082_2023-10-30_final
2023-11-06 10:23:40	ga_ls8c_ard_3-2-1_101072_2023-11-06_final
2023-11-08 11:50:57	ga_ls8c_ard_3-2-1_115074_2023-11-08_final
2023-11-08 11:52:09	ga_ls8c_ard_3-2-1_115077_2023-11-08_final
2023-11-11 10:40:58	ga_ls8c_ard_3-2-1_104069_2023-11-11_final
2023-12-01 10:17:54	ga_ls8c_ard_3-2-1_100073_2023-12-01_final
2023-12-03 11:45:11	ga_ls8c_ard_3-2-1_114075_2023-12-03_final
2023-12-03 11:46:23	ga_ls8c_ard_3-2-1_114078_2023-12-03_final
2023-12-09 11:08:27	ga_ls8c_ard_3-2-1_108076_2023-12-09_final
2023-12-09 11:11:15	ga_ls8c_ard_3-2-1_108083_2023-12-09_final
2023-12-13 10:41:00	ga_ls8c_ard_3-2-1_104069_2023-12-13_final
2023-12-13 10:43:47	ga_ls8c_ard_3-2-1_104076_2023-12-13_final
2023-12-14 09:49:22	ga_ls8c_ard_3-2-1_095079_2023-12-14_final
2023-12-14 11:30:15	ga_ls8c_ard_3-2-1_111084_2023-12-14_final
2023-12-16 11:17:31	ga_ls8c_ard_3-2-1_109083_2023-12-16_final
2023-12-21 09:57:59	ga_ls8c_ard_3-2-1_096085_2023-12-21_final
2023-12-24 10:27:17	ga_ls8c_ard_3-2-1_101081_2023-12-24_final
2023-12-27 10:55:47	ga_ls8c_ard_3-2-1_106075_2023-12-27_final
2023-12-27 10:56:58	ga_ls8c_ard_3-2-1_106078_2023-12-27_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
2024-01-07 10:35:32	ga_ls8c_ard_3-2-1_103071_2024-01-07_final
2024-01-07 10:39:07	ga_ls8c_ard_3-2-1_103080_2024-01-07_final
2024-01-08 09:40:43	ga_ls8c_ard_3-2-1_094073_2024-01-08_final
2024-01-17 11:17:50	ga_ls8c_ard_3-2-1_109084_2024-01-17_final
2024-01-22 11:32:44	ga_ls8c_ard_3-2-1_112075_2024-01-22_final
2024-01-24 11:20:21	ga_ls8c_ard_3-2-1_110075_2024-01-24_final
2024-01-26 11:10:44	ga_ls8c_ard_3-2-1_108082_2024-01-26_final
2024-01-29 10:01:35	ga_ls8c_ard_3-2-1_097079_2024-01-29_final
2024-01-29 10:03:59	ga_ls8c_ard_3-2-1_097085_2024-01-29_final
2024-02-02 11:17:47	ga_ls8c_ard_3-2-1_109084_2024-02-02_final
2024-02-04 11:02:15	ga_ls8c_ard_3-2-1_107076_2024-02-04_final
2024-02-09 11:20:48	ga_ls8c_ard_3-2-1_110076_2024-02-09_final
2024-02-11 09:33:57	ga_ls8c_ard_3-2-1_092087_2024-02-11_final
2024-02-12 11:50:54	ga_ls8c_ard_3-2-1_115074_2024-02-12_final
2024-02-13 09:22:46	ga_ls8c_ard_3-2-1_090090_2024-02-12_final
2024-02-13 10:55:40	ga_ls8c_ard_3-2-1_106075_2024-02-13_final
2024-02-21 10:10:12	ga_ls8c_ard_3-2-1_098085_2024-02-21_final
2024-02-22 09:14:58	ga_ls8c_ard_3-2-1_089086_2024-02-21_final
2024-02-26 10:24:18	ga_ls8c_ard_3-2-1_101074_2024-02-26_final
2024-03-01 11:41:13	ga_ls8c_ard_3-2-1_113081_2024-03-01_final
2024-03-03 11:26:25	ga_ls8c_ard_3-2-1_111075_2024-03-03_final
2024-03-16 10:55:48	ga_ls8c_ard_3-2-1_106076_2024-03-16_final
2024-03-17 10:01:46	ga_ls8c_ard_3-2-1_097080_2024-03-17_final
2024-03-19 09:51:22	ga_ls8c_ard_3-2-1_095085_2024-03-19_final
2024-03-21 09:40:11	ga_ls8c_ard_3-2-1_093088_2024-03-21_final
2024-03-21 11:12:17	ga_ls8c_ard_3-2-1_109071_2024-03-21_final
2024-03-22 10:21:50	ga_ls8c_ard_3-2-1_100084_2024-03-22_final
2024-03-22 11:57:31	ga_ls8c_ard_3-2-1_116076_2024-03-22_final
2024-03-23 09:26:35	ga_ls8c_ard_3-2-1_091085_2024-03-22_final
2024-03-23 09:28:11	ga_ls8c_ard_3-2-1_091089_2024-03-22_final
2024-04-01 10:54:48	ga_ls8c_ard_3-2-1_106074_2024-04-01_final
2024-04-01 10:57:11	ga_ls8c_ard_3-2-1_106080_2024-04-01_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