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
2019-12-15 10:09:02	ga_ls8c_ard_3-2-1_099066_2019-12-15_final
2022-05-14 12:31:12	ga_ls8c_ard_3-2-1_122067_2022-05-14_final
2022-05-30 12:31:14	ga_ls8c_ard_3-2-1_122067_2022-05-30_final
2023-01-10 11:42:49	ga_ls8c_ard_3-2-1_113084_2023-01-10_final
2023-11-26 11:42:41	ga_ls8c_ard_3-2-1_113084_2023-11-26_final
2024-01-07 10:38:44	ga_ls8c_ard_3-2-1_103079_2024-01-07_final
2024-01-09 10:26:47	ga_ls8c_ard_3-2-1_101080_2024-01-09_final
2024-01-10 09:33:58	ga_ls8c_ard_3-2-1_092087_2024-01-10_final
2024-01-11 10:10:27	ga_ls8c_ard_3-2-1_099070_2024-01-11_final
2024-01-13 10:02:53	ga_ls8c_ard_3-2-1_097082_2024-01-13_final
2024-01-15 11:26:13	ga_ls8c_ard_3-2-1_111074_2024-01-15_final
2024-01-17 09:36:33	ga_ls8c_ard_3-2-1_093078_2024-01-17_final
2024-01-19 09:25:47	ga_ls8c_ard_3-2-1_091082_2024-01-18_final
2024-01-23 10:38:42	ga_ls8c_ard_3-2-1_103079_2024-01-23_final
2024-01-24 09:41:28	ga_ls8c_ard_3-2-1_094075_2024-01-24_final
2024-01-26 09:33:03	ga_ls8c_ard_3-2-1_092085_2024-01-26_final
2024-01-28 09:19:54	ga_ls8c_ard_3-2-1_090083_2024-01-27_final
2024-01-29 10:01:59	ga_ls8c_ard_3-2-1_097080_2024-01-29_final
2024-01-29 11:38:52	ga_ls8c_ard_3-2-1_113075_2024-01-29_final
2024-01-31 11:29:44	ga_ls8c_ard_3-2-1_111083_2024-01-31_final
2024-02-02 09:36:54	ga_ls8c_ard_3-2-1_093079_2024-02-02_final
2024-02-02 09:38:30	ga_ls8c_ard_3-2-1_093083_2024-02-02_final
2024-02-02 11:16:35	ga_ls8c_ard_3-2-1_109081_2024-02-02_final
2024-02-02 11:16:59	ga_ls8c_ard_3-2-1_109082_2024-02-02_final
2024-02-03 10:21:46	ga_ls8c_ard_3-2-1_100083_2024-02-03_final
2024-02-04 09:23:46	ga_ls8c_ard_3-2-1_091077_2024-02-03_final
2024-02-04 09:27:45	ga_ls8c_ard_3-2-1_091087_2024-02-03_final
2024-02-04 09:28:33	ga_ls8c_ard_3-2-1_091089_2024-02-03_final
2024-02-04 11:00:15	ga_ls8c_ard_3-2-1_107071_2024-02-04_final
2024-02-07 09:54:17	ga_ls8c_ard_3-2-1_096076_2024-02-07_final
2024-02-07 11:34:22	ga_ls8c_ard_3-2-1_112079_2024-02-07_final
2024-02-09 09:42:19	ga_ls8c_ard_3-2-1_094077_2024-02-09_final
2024-02-09 11:19:37	ga_ls8c_ard_3-2-1_110073_2024-02-09_final
2024-02-09 11:21:12	ga_ls8c_ard_3-2-1_110077_2024-02-09_final
2024-02-10 10:27:35	ga_ls8c_ard_3-2-1_101082_2024-02-10_final
2024-02-12 10:15:36	ga_ls8c_ard_3-2-1_099083_2024-02-12_final
2024-02-13 09:19:35	ga_ls8c_ard_3-2-1_090082_2024-02-12_final
2024-02-13 09:19:59	ga_ls8c_ard_3-2-1_090083_2024-02-12_final
2024-02-13 09:20:47	ga_ls8c_ard_3-2-1_090085_2024-02-12_final
2024-02-14 10:02:50	ga_ls8c_ard_3-2-1_097082_2024-02-14_final
2024-02-14 10:04:02	ga_ls8c_ard_3-2-1_097085_2024-02-14_final
2024-02-14 11:41:43	ga_ls8c_ard_3-2-1_113082_2024-02-14_final
2024-02-15 10:41:42	ga_ls8c_ard_3-2-1_104071_2024-02-15_final
2024-02-16 09:50:03	ga_ls8c_ard_3-2-1_095081_2024-02-16_final
2024-02-16 11:27:21	ga_ls8c_ard_3-2-1_111077_2024-02-16_final
2024-02-16 11:27:45	ga_ls8c_ard_3-2-1_111078_2024-02-16_final
2024-02-16 11:29:44	ga_ls8c_ard_3-2-1_111083_2024-02-16_final
2024-02-18 11:16:59	ga_ls8c_ard_3-2-1_109082_2024-02-18_final
2024-02-19 11:58:15	ga_ls8c_ard_3-2-1_116077_2024-02-19_final
2024-02-22 10:48:16	ga_ls8c_ard_3-2-1_105072_2024-02-22_final
2024-02-23 09:56:13	ga_ls8c_ard_3-2-1_096081_2024-02-23_final
2024-02-23 11:35:06	ga_ls8c_ard_3-2-1_112081_2024-02-23_final
2024-02-25 09:43:27	ga_ls8c_ard_3-2-1_094080_2024-02-25_final
2024-02-25 09:45:51	ga_ls8c_ard_3-2-1_094086_2024-02-25_final
2024-02-25 11:22:44	ga_ls8c_ard_3-2-1_110081_2024-02-25_final
2024-02-27 09:33:04	ga_ls8c_ard_3-2-1_092085_2024-02-27_final
2024-02-29 09:17:29	ga_ls8c_ard_3-2-1_090077_2024-02-28_final
2024-02-29 09:19:53	ga_ls8c_ard_3-2-1_090083_2024-02-28_final
2024-03-03 09:51:56	ga_ls8c_ard_3-2-1_095086_2024-03-03_final
2024-03-03 11:26:49	ga_ls8c_ard_3-2-1_111076_2024-03-03_final
2024-03-04 10:32:47	ga_ls8c_ard_3-2-1_102080_2024-03-04_final
2024-03-05 09:38:20	ga_ls8c_ard_3-2-1_093083_2024-03-05_final
2024-03-07 11:01:37	ga_ls8c_ard_3-2-1_107075_2024-03-07_final
2024-03-09 09:14:46	ga_ls8c_ard_3-2-1_089086_2024-03-08_final
2024-03-10 09:53:38	ga_ls8c_ard_3-2-1_096075_2024-03-10_final
2024-03-10 09:56:02	ga_ls8c_ard_3-2-1_096081_2024-03-10_final
2024-03-10 11:33:43	ga_ls8c_ard_3-2-1_112078_2024-03-10_final
2024-03-13 10:22:56	ga_ls8c_ard_3-2-1_101071_2024-03-13_final
2024-03-14 09:29:18	ga_ls8c_ard_3-2-1_092076_2024-03-13_final
2024-03-14 11:07:47	ga_ls8c_ard_3-2-1_108075_2024-03-14_final
2024-03-14 11:08:11	ga_ls8c_ard_3-2-1_108076_2024-03-14_final
2024-03-16 09:18:31	ga_ls8c_ard_3-2-1_090080_2024-03-15_final
2024-03-16 09:19:19	ga_ls8c_ard_3-2-1_090082_2024-03-15_final
2024-03-16 09:20:54	ga_ls8c_ard_3-2-1_090086_2024-03-15_final
2024-03-16 10:52:36	ga_ls8c_ard_3-2-1_106068_2024-03-16_final
2024-03-17 11:38:39	ga_ls8c_ard_3-2-1_113075_2024-03-17_final
2024-03-20 10:29:02	ga_ls8c_ard_3-2-1_102071_2024-03-20_final
2024-03-21 09:34:35	ga_ls8c_ard_3-2-1_093074_2024-03-21_final
2024-03-21 09:38:11	ga_ls8c_ard_3-2-1_093083_2024-03-21_final
2024-03-21 11:16:16	ga_ls8c_ard_3-2-1_109081_2024-03-21_final
2024-03-22 10:21:26	ga_ls8c_ard_3-2-1_100083_2024-03-22_final
2024-03-23 09:26:11	ga_ls8c_ard_3-2-1_091084_2024-03-22_final
2024-03-23 09:28:35	ga_ls8c_ard_3-2-1_091090_2024-03-22_final
2024-03-24 11:44:43	ga_ls8c_ard_3-2-1_114075_2024-03-24_final
2024-03-24 11:46:42	ga_ls8c_ard_3-2-1_114080_2024-03-24_final
2024-03-26 09:55:48	ga_ls8c_ard_3-2-1_096081_2024-03-26_final
2024-03-26 11:34:41	ga_ls8c_ard_3-2-1_112081_2024-03-26_final
2024-03-28 09:43:00	ga_ls8c_ard_3-2-1_094080_2024-03-28_final
2024-03-28 09:45:24	ga_ls8c_ard_3-2-1_094086_2024-03-28_final
2024-03-28 11:23:05	ga_ls8c_ard_3-2-1_110083_2024-03-28_final
2024-03-29 10:26:40	ga_ls8c_ard_3-2-1_101081_2024-03-29_final
2024-03-30 09:32:39	ga_ls8c_ard_3-2-1_092085_2024-03-30_final
2024-03-31 10:11:32	ga_ls8c_ard_3-2-1_099074_2024-03-31_final
2024-04-01 09:18:18	ga_ls8c_ard_3-2-1_090080_2024-03-31_final
2024-04-01 09:19:30	ga_ls8c_ard_3-2-1_090083_2024-03-31_final
2024-04-01 10:55:12	ga_ls8c_ard_3-2-1_106075_2024-04-01_final
2024-04-02 09:59:34	ga_ls8c_ard_3-2-1_097075_2024-04-02_final
2024-04-04 09:47:37	ga_ls8c_ard_3-2-1_095076_2024-04-04_final
2024-04-04 11:24:30	ga_ls8c_ard_3-2-1_111071_2024-04-04_final
2024-04-06 09:36:03	ga_ls8c_ard_3-2-1_093078_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years