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
2022-04-02 11:57:07	ga_ls8c_ard_3-2-1_116075_2022-04-02_final
2022-05-04 11:57:13	ga_ls8c_ard_3-2-1_116075_2022-05-04_final
2022-06-06 09:23:21	ga_ls8c_ard_3-2-1_091076_2022-06-05_final
2022-06-13 11:07:42	ga_ls8c_ard_3-2-1_108074_2022-06-13_final
2022-06-20 09:40:38	ga_ls8c_ard_3-2-1_093088_2022-06-20_final
2022-06-27 11:20:56	ga_ls8c_ard_3-2-1_110076_2022-06-27_final
2022-08-05 09:52:51	ga_ls8c_ard_3-2-1_095087_2022-08-05_final
2022-08-09 09:28:34	ga_ls8c_ard_3-2-1_091088_2022-08-08_final
2022-08-09 09:29:21	ga_ls8c_ard_3-2-1_091090_2022-08-08_final
2022-08-17 10:14:27	ga_ls8c_ard_3-2-1_099079_2022-08-17_final
2022-08-18 10:53:19	ga_ls8c_ard_3-2-1_106068_2022-08-18_final
2022-08-29 10:37:35	ga_ls8c_ard_3-2-1_103075_2022-08-29_final
2022-09-03 09:21:37	ga_ls8c_ard_3-2-1_090086_2022-09-02_final
2022-09-06 11:24:39	ga_ls8c_ard_3-2-1_111069_2022-09-06_final
2022-09-11 10:04:21	ga_ls8c_ard_3-2-1_098069_2022-09-11_final
2022-09-22 11:26:44	ga_ls8c_ard_3-2-1_111074_2022-09-22_final
2022-09-27 10:05:12	ga_ls8c_ard_3-2-1_098071_2022-09-27_final
2022-09-29 11:35:18	ga_ls8c_ard_3-2-1_112080_2022-09-29_final
2022-10-01 11:19:44	ga_ls8c_ard_3-2-1_110072_2022-10-01_final
2022-10-08 09:51:46	ga_ls8c_ard_3-2-1_095084_2022-10-08_final
2022-10-12 09:29:23	ga_ls8c_ard_3-2-1_091090_2022-10-11_final
2022-10-13 10:07:50	ga_ls8c_ard_3-2-1_098078_2022-10-13_final
2022-10-20 10:11:18	ga_ls8c_ard_3-2-1_099071_2022-10-20_final
2022-10-20 10:14:53	ga_ls8c_ard_3-2-1_099080_2022-10-20_final
2022-10-21 10:59:21	ga_ls8c_ard_3-2-1_106083_2022-10-21_final
2022-10-25 10:28:41	ga_ls8c_ard_3-2-1_102068_2022-10-25_final
2022-10-31 11:32:55	ga_ls8c_ard_3-2-1_112074_2022-10-31_final
2022-11-10 10:34:16	ga_ls8c_ard_3-2-1_102082_2022-11-10_final
2022-11-13 09:28:15	ga_ls8c_ard_3-2-1_091087_2022-11-12_final
2022-11-21 10:16:03	ga_ls8c_ard_3-2-1_099083_2022-11-21_final
2022-11-24 09:07:17	ga_ls8c_ard_3-2-1_088081_2022-11-23_final
2022-12-07 10:11:41	ga_ls8c_ard_3-2-1_099072_2022-12-07_final
2023-01-10 10:04:20	ga_ls8c_ard_3-2-1_097085_2023-01-10_final
2023-01-16 09:27:10	ga_ls8c_ard_3-2-1_091085_2023-01-15_final
2023-01-22 10:27:49	ga_ls8c_ard_3-2-1_101082_2023-01-22_final
2023-01-26 11:38:49	ga_ls8c_ard_3-2-1_113074_2023-01-26_final
2023-02-13 09:47:05	ga_ls8c_ard_3-2-1_095073_2023-02-13_final
2023-02-13 09:50:41	ga_ls8c_ard_3-2-1_095082_2023-02-13_final
2023-02-18 10:09:33	ga_ls8c_ard_3-2-1_098083_2023-02-18_final
2023-03-23 09:15:57	ga_ls8c_ard_3-2-1_089089_2023-03-22_final
2023-03-31 11:41:02	ga_ls8c_ard_3-2-1_113081_2023-03-31_final
2023-04-02 11:25:51	ga_ls8c_ard_3-2-1_111074_2023-04-02_final
2023-04-03 10:29:48	ga_ls8c_ard_3-2-1_102073_2023-04-03_final
2023-04-09 09:51:24	ga_ls8c_ard_3-2-1_096070_2023-04-09_final
2023-04-09 11:31:52	ga_ls8c_ard_3-2-1_112074_2023-04-09_final
2023-04-16 11:41:35	ga_ls8c_ard_3-2-1_113083_2023-04-16_final
2023-04-19 10:27:59	ga_ls8c_ard_3-2-1_102069_2023-04-19_final
2023-04-25 11:31:47	ga_ls8c_ard_3-2-1_112074_2023-04-25_final
2023-05-22 09:32:56	ga_ls8c_ard_3-2-1_093071_2023-05-22_final
2023-05-27 11:30:47	ga_ls8c_ard_3-2-1_112072_2023-05-27_final
2023-06-06 10:29:26	ga_ls8c_ard_3-2-1_102073_2023-06-06_final
2023-06-10 10:03:10	ga_ls8c_ard_3-2-1_098069_2023-06-10_final
2023-06-19 10:03:25	ga_ls8c_ard_3-2-1_097085_2023-06-19_final
2023-06-20 10:44:41	ga_ls8c_ard_3-2-1_104080_2023-06-20_final
2023-06-21 09:46:16	ga_ls8c_ard_3-2-1_095073_2023-06-21_final
2023-07-04 10:54:26	ga_ls8c_ard_3-2-1_106073_2023-07-04_final
2023-08-13 10:08:01	ga_ls8c_ard_3-2-1_098080_2023-08-13_final
2023-08-28 09:22:53	ga_ls8c_ard_3-2-1_091075_2023-08-27_final
2023-09-08 10:46:00	ga_ls8c_ard_3-2-1_104082_2023-09-08_final
2023-09-23 11:38:31	ga_ls8c_ard_3-2-1_113074_2023-09-23_final
2023-09-27 11:17:50	ga_ls8c_ard_3-2-1_109084_2023-09-27_final
2023-09-29 09:27:47	ga_ls8c_ard_3-2-1_091087_2023-09-28_final
2023-10-04 11:24:01	ga_ls8c_ard_3-2-1_110084_2023-10-04_final
2023-10-08 09:21:14	ga_ls8c_ard_3-2-1_090086_2023-10-07_final
2023-10-15 10:59:56	ga_ls8c_ard_3-2-1_107070_2023-10-15_final
2023-10-31 09:23:06	ga_ls8c_ard_3-2-1_091075_2023-10-30_final
2023-10-31 10:59:59	ga_ls8c_ard_3-2-1_107070_2023-10-31_final
2023-11-02 10:52:49	ga_ls8c_ard_3-2-1_105083_2023-11-02_final
2023-11-08 10:16:04	ga_ls8c_ard_3-2-1_099084_2023-11-08_final
2023-11-17 10:09:33	ga_ls8c_ard_3-2-1_098083_2023-11-17_final
2023-11-18 10:48:49	ga_ls8c_ard_3-2-1_105073_2023-11-18_final
2023-12-02 11:01:33	ga_ls8c_ard_3-2-1_107074_2023-12-02_final
2023-12-02 11:05:32	ga_ls8c_ard_3-2-1_107084_2023-12-02_final
2023-12-07 09:40:42	ga_ls8c_ard_3-2-1_094073_2023-12-07_final
2023-12-07 11:20:47	ga_ls8c_ard_3-2-1_110076_2023-12-07_final
2023-12-10 11:51:20	ga_ls8c_ard_3-2-1_115075_2023-12-10_final
2023-12-11 09:20:50	ga_ls8c_ard_3-2-1_090085_2023-12-10_final
2023-12-11 10:56:07	ga_ls8c_ard_3-2-1_106076_2023-12-11_final
2024-01-02 10:22:12	ga_ls8c_ard_3-2-1_100084_2024-01-02_final
2024-01-09 10:24:47	ga_ls8c_ard_3-2-1_101075_2024-01-09_final
2024-01-11 10:11:15	ga_ls8c_ard_3-2-1_099072_2024-01-11_final
2024-01-11 11:51:44	ga_ls8c_ard_3-2-1_115076_2024-01-11_final
2024-01-15 11:24:37	ga_ls8c_ard_3-2-1_111070_2024-01-15_final
2024-01-25 10:23:07	ga_ls8c_ard_3-2-1_101071_2024-01-25_final
2024-01-25 10:23:54	ga_ls8c_ard_3-2-1_101073_2024-01-25_final
2024-01-27 11:51:12	ga_ls8c_ard_3-2-1_115075_2024-01-27_final
2024-01-28 09:22:42	ga_ls8c_ard_3-2-1_090090_2024-01-27_final
2024-02-04 09:28:57	ga_ls8c_ard_3-2-1_091090_2024-02-03_final
2024-02-04 11:02:15	ga_ls8c_ard_3-2-1_107076_2024-02-04_final
2024-02-14 09:56:51	ga_ls8c_ard_3-2-1_097067_2024-02-14_final
2024-02-15 09:06:24	ga_ls8c_ard_3-2-1_088080_2024-02-14_final
2024-02-22 09:11:46	ga_ls8c_ard_3-2-1_089078_2024-02-21_final
2024-02-25 11:18:45	ga_ls8c_ard_3-2-1_110071_2024-02-25_final
2024-02-27 09:27:53	ga_ls8c_ard_3-2-1_092072_2024-02-26_final
2024-03-01 10:03:55	ga_ls8c_ard_3-2-1_097085_2024-03-01_final
2024-03-02 10:45:58	ga_ls8c_ard_3-2-1_104082_2024-03-02_final
2024-03-06 10:21:10	ga_ls8c_ard_3-2-1_100082_2024-03-06_final
2024-03-19 11:25:04	ga_ls8c_ard_3-2-1_111072_2024-03-19_final
2024-03-21 09:40:11	ga_ls8c_ard_3-2-1_093088_2024-03-21_final
2024-03-22 10:21:50	ga_ls8c_ard_3-2-1_100084_2024-03-22_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