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
2017-10-22 10:09:02	ga_ls8c_ard_3-2-1_099066_2017-10-22_final
2022-02-23 09:23:07	ga_ls8c_ard_3-2-1_090091_2022-02-22_final
2022-05-15 11:42:22	ga_ls8c_ard_3-2-1_113084_2022-05-15_final
2022-12-09 11:42:59	ga_ls8c_ard_3-2-1_113084_2022-12-09_final
2022-12-15 09:22:58	ga_ls8c_ard_3-2-1_091074_2022-12-14_final
2022-12-17 09:11:47	ga_ls8c_ard_3-2-1_089077_2022-12-16_final
2023-01-01 11:47:50	ga_ls8c_ard_3-2-1_114081_2023-01-01_final
2023-01-02 09:11:44	ga_ls8c_ard_3-2-1_089077_2023-01-01_final
2023-01-24 10:13:28	ga_ls8c_ard_3-2-1_099077_2023-01-24_final
2023-01-24 10:14:16	ga_ls8c_ard_3-2-1_099079_2023-01-24_final
2023-01-26 09:57:08	ga_ls8c_ard_3-2-1_097067_2023-01-26_final
2023-01-30 11:13:42	ga_ls8c_ard_3-2-1_109073_2023-01-30_final
2023-02-01 09:28:27	ga_ls8c_ard_3-2-1_091088_2023-01-31_final
2023-02-19 09:16:18	ga_ls8c_ard_3-2-1_089089_2023-02-18_final
2023-02-22 11:19:14	ga_ls8c_ard_3-2-1_110072_2023-02-22_final
2023-02-24 11:10:01	ga_ls8c_ard_3-2-1_108080_2023-02-24_final
2023-02-26 10:55:38	ga_ls8c_ard_3-2-1_106075_2023-02-26_final
2023-03-05 09:22:07	ga_ls8c_ard_3-2-1_091073_2023-03-04_final
2023-04-02 09:46:34	ga_ls8c_ard_3-2-1_095073_2023-04-02_final
2023-04-06 11:05:02	ga_ls8c_ard_3-2-1_107084_2023-04-06_final
2023-04-11 09:39:47	ga_ls8c_ard_3-2-1_094072_2023-04-11_final
2023-04-17 10:45:33	ga_ls8c_ard_3-2-1_104082_2023-04-17_final
2023-04-30 11:51:53	ga_ls8c_ard_3-2-1_115078_2023-04-30_final
2023-05-07 11:57:35	ga_ls8c_ard_3-2-1_116077_2023-05-07_final
2023-05-13 11:19:12	ga_ls8c_ard_3-2-1_110074_2023-05-13_final
2023-05-22 09:39:19	ga_ls8c_ard_3-2-1_093087_2023-05-22_final
2023-05-23 10:21:23	ga_ls8c_ard_3-2-1_100084_2023-05-23_final
2023-05-24 09:20:59	ga_ls8c_ard_3-2-1_091072_2023-05-23_final
2023-05-29 11:17:37	ga_ls8c_ard_3-2-1_110070_2023-05-29_final
2023-05-29 11:19:37	ga_ls8c_ard_3-2-1_110075_2023-05-29_final
2023-06-02 09:16:24	ga_ls8c_ard_3-2-1_090076_2023-06-01_final
2023-06-05 11:23:03	ga_ls8c_ard_3-2-1_111068_2023-06-05_final
2023-06-24 10:16:24	ga_ls8c_ard_3-2-1_100071_2023-06-24_final
2023-06-26 10:06:52	ga_ls8c_ard_3-2-1_098078_2023-06-26_final
2023-07-16 11:19:37	ga_ls8c_ard_3-2-1_110074_2023-07-16_final
2023-07-17 10:27:11	ga_ls8c_ard_3-2-1_101082_2023-07-17_final
2023-07-19 11:51:42	ga_ls8c_ard_3-2-1_115077_2023-07-19_final
2023-07-19 11:52:06	ga_ls8c_ard_3-2-1_115078_2023-07-19_final
2023-07-20 10:52:29	ga_ls8c_ard_3-2-1_106068_2023-07-20_final
2023-07-20 10:52:53	ga_ls8c_ard_3-2-1_106069_2023-07-20_final
2023-07-23 09:51:44	ga_ls8c_ard_3-2-1_095086_2023-07-23_final
2023-07-24 10:27:49	ga_ls8c_ard_3-2-1_102068_2023-07-24_final
2023-07-26 10:19:29	ga_ls8c_ard_3-2-1_100078_2023-07-26_final
2023-08-03 09:33:42	ga_ls8c_ard_3-2-1_092087_2023-08-03_final
2023-08-04 10:08:35	ga_ls8c_ard_3-2-1_099066_2023-08-04_final
2023-08-05 10:55:50	ga_ls8c_ard_3-2-1_106076_2023-08-05_final
2023-08-08 09:46:16	ga_ls8c_ard_3-2-1_095072_2023-08-08_final
2023-08-09 10:28:19	ga_ls8c_ard_3-2-1_102069_2023-08-09_final
2023-08-10 09:34:18	ga_ls8c_ard_3-2-1_093073_2023-08-10_final
2023-08-23 09:07:31	ga_ls8c_ard_3-2-1_088083_2023-08-22_final
2023-09-04 11:07:55	ga_ls8c_ard_3-2-1_108075_2023-09-04_final
2023-09-20 11:08:01	ga_ls8c_ard_3-2-1_108075_2023-09-20_final
2023-09-22 09:17:10	ga_ls8c_ard_3-2-1_090076_2023-09-21_final
2023-09-22 10:55:15	ga_ls8c_ard_3-2-1_106074_2023-09-22_final
2023-09-29 11:01:53	ga_ls8c_ard_3-2-1_107075_2023-09-29_final
2023-10-01 10:51:55	ga_ls8c_ard_3-2-1_105081_2023-10-01_final
2023-10-02 11:36:23	ga_ls8c_ard_3-2-1_112084_2023-10-02_final
2023-10-07 10:13:15	ga_ls8c_ard_3-2-1_099077_2023-10-07_final
2023-10-09 09:57:19	ga_ls8c_ard_3-2-1_097068_2023-10-09_final
2023-10-15 09:28:14	ga_ls8c_ard_3-2-1_091088_2023-10-14_final
2023-10-17 10:46:46	ga_ls8c_ard_3-2-1_105068_2023-10-17_final
2023-11-01 10:03:10	ga_ls8c_ard_3-2-1_098067_2023-11-01_final
2023-11-02 09:14:43	ga_ls8c_ard_3-2-1_089085_2023-11-01_final
2023-11-10 09:57:41	ga_ls8c_ard_3-2-1_097069_2023-11-10_final
2023-11-10 11:37:46	ga_ls8c_ard_3-2-1_113072_2023-11-10_final
2023-11-12 09:46:33	ga_ls8c_ard_3-2-1_095072_2023-11-12_final
2023-11-18 09:16:20	ga_ls8c_ard_3-2-1_089089_2023-11-17_final
2023-11-22 10:27:43	ga_ls8c_ard_3-2-1_101082_2023-11-22_final
2023-11-25 09:21:20	ga_ls8c_ard_3-2-1_090086_2023-11-24_final
2023-11-25 10:53:02	ga_ls8c_ard_3-2-1_106068_2023-11-25_final
2023-11-26 11:42:17	ga_ls8c_ard_3-2-1_113083_2023-11-26_final
2023-11-28 11:23:56	ga_ls8c_ard_3-2-1_111068_2023-11-28_final
2023-12-01 10:19:30	ga_ls8c_ard_3-2-1_100077_2023-12-01_final
2023-12-02 09:23:04	ga_ls8c_ard_3-2-1_091075_2023-12-01_final
2023-12-03 10:04:43	ga_ls8c_ard_3-2-1_098071_2023-12-03_final
2023-12-10 11:52:56	ga_ls8c_ard_3-2-1_115079_2023-12-10_final
2023-12-18 11:01:34	ga_ls8c_ard_3-2-1_107074_2023-12-18_final
2023-12-23 09:40:26	ga_ls8c_ard_3-2-1_094072_2023-12-23_final
2023-12-27 09:20:53	ga_ls8c_ard_3-2-1_090085_2023-12-26_final
2024-01-01 11:14:39	ga_ls8c_ard_3-2-1_109076_2024-01-01_final
2024-01-02 11:57:30	ga_ls8c_ard_3-2-1_116075_2024-01-02_final
2024-01-05 09:12:35	ga_ls8c_ard_3-2-1_089080_2024-01-04_final
2024-01-08 09:40:19	ga_ls8c_ard_3-2-1_094072_2024-01-08_final
2024-01-11 10:14:02	ga_ls8c_ard_3-2-1_099079_2024-01-11_final
2024-01-15 11:25:25	ga_ls8c_ard_3-2-1_111072_2024-01-15_final
2024-01-17 09:34:34	ga_ls8c_ard_3-2-1_093073_2024-01-17_final
2024-01-19 09:22:59	ga_ls8c_ard_3-2-1_091075_2024-01-18_final
2024-01-19 11:02:16	ga_ls8c_ard_3-2-1_107076_2024-01-19_final
2024-01-20 11:47:31	ga_ls8c_ard_3-2-1_114081_2024-01-20_final
2024-01-26 09:29:04	ga_ls8c_ard_3-2-1_092075_2024-01-25_final
2024-02-07 09:58:16	ga_ls8c_ard_3-2-1_096086_2024-02-07_final
2024-02-18 09:34:07	ga_ls8c_ard_3-2-1_093072_2024-02-18_final
2024-02-21 10:07:24	ga_ls8c_ard_3-2-1_098078_2024-02-21_final
2024-02-22 10:46:40	ga_ls8c_ard_3-2-1_105068_2024-02-22_final
2024-02-27 11:11:33	ga_ls8c_ard_3-2-1_108084_2024-02-27_final
2024-02-28 10:13:31	ga_ls8c_ard_3-2-1_099078_2024-02-28_final
2024-03-09 09:12:46	ga_ls8c_ard_3-2-1_089081_2024-03-08_final
2024-04-01 10:54:24	ga_ls8c_ard_3-2-1_106073_2024-04-01_final
2024-04-02 09:56:23	ga_ls8c_ard_3-2-1_097067_2024-04-02_final
2024-04-04 11:23:18	ga_ls8c_ard_3-2-1_111068_2024-04-04_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