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
2016-12-23 12:31:31	ga_ls8c_ard_3-2-1_122067_2016-12-23_final
2018-10-09 10:08:32	ga_ls8c_ard_3-2-1_099066_2018-10-09_final
2019-09-27 12:31:37	ga_ls8c_ard_3-2-1_122067_2019-09-27_final
2020-08-18 08:42:27	ga_ls8c_ard_3-2-1_084082_2020-08-17_final
2022-05-07 09:15:34	ga_ls8c_ard_3-2-1_089088_2022-05-06_final
2022-05-30 12:31:14	ga_ls8c_ard_3-2-1_122067_2022-05-30_final
2022-07-24 12:37:48	ga_ls8c_ard_3-2-1_123067_2022-07-24_final
2022-08-25 12:38:00	ga_ls8c_ard_3-2-1_123067_2022-08-25_final
2022-10-22 11:43:02	ga_ls8c_ard_3-2-1_113084_2022-10-22_final
2023-07-05 11:42:05	ga_ls8c_ard_3-2-1_113084_2023-07-05_final
2023-10-01 09:15:50	ga_ls8c_ard_3-2-1_089088_2023-09-30_final
2023-10-06 09:31:34	ga_ls8c_ard_3-2-1_092081_2023-10-06_final
2023-10-13 09:34:37	ga_ls8c_ard_3-2-1_093073_2023-10-13_final
2023-10-15 11:00:44	ga_ls8c_ard_3-2-1_107072_2023-10-15_final
2023-10-23 11:51:23	ga_ls8c_ard_3-2-1_115075_2023-10-23_final
2023-11-03 09:53:35	ga_ls8c_ard_3-2-1_096074_2023-11-03_final
2023-11-03 09:53:59	ga_ls8c_ard_3-2-1_096075_2023-11-03_final
2023-11-04 10:36:51	ga_ls8c_ard_3-2-1_103074_2023-11-04_final
2023-11-09 09:21:13	ga_ls8c_ard_3-2-1_090086_2023-11-08_final
2023-11-11 10:40:58	ga_ls8c_ard_3-2-1_104069_2023-11-11_final
2023-11-12 09:48:09	ga_ls8c_ard_3-2-1_095076_2023-11-12_final
2023-11-14 09:36:37	ga_ls8c_ard_3-2-1_093078_2023-11-14_final
2023-11-15 10:18:18	ga_ls8c_ard_3-2-1_100074_2023-11-15_final
2023-11-15 10:21:29	ga_ls8c_ard_3-2-1_100082_2023-11-15_final
2023-11-20 10:34:29	ga_ls8c_ard_3-2-1_103068_2023-11-20_final
2023-11-21 09:44:03	ga_ls8c_ard_3-2-1_094081_2023-11-21_final
2023-11-21 11:20:33	ga_ls8c_ard_3-2-1_110075_2023-11-21_final
2023-11-23 11:10:11	ga_ls8c_ard_3-2-1_108080_2023-11-23_final
2023-11-23 11:11:47	ga_ls8c_ard_3-2-1_108084_2023-11-23_final
2023-11-25 10:56:38	ga_ls8c_ard_3-2-1_106077_2023-11-25_final
2023-11-26 10:01:48	ga_ls8c_ard_3-2-1_097079_2023-11-26_final
2023-11-27 10:43:28	ga_ls8c_ard_3-2-1_104075_2023-11-27_final
2023-11-28 09:51:50	ga_ls8c_ard_3-2-1_095085_2023-11-28_final
2023-11-30 09:38:15	ga_ls8c_ard_3-2-1_093082_2023-11-30_final
2023-11-30 11:14:44	ga_ls8c_ard_3-2-1_109076_2023-11-30_final
2023-12-01 10:21:30	ga_ls8c_ard_3-2-1_100082_2023-12-01_final
2023-12-02 11:04:20	ga_ls8c_ard_3-2-1_107081_2023-12-02_final
2023-12-07 11:22:23	ga_ls8c_ard_3-2-1_110080_2023-12-07_final
2023-12-09 09:33:34	ga_ls8c_ard_3-2-1_092086_2023-12-09_final
2023-12-11 09:20:02	ga_ls8c_ard_3-2-1_090083_2023-12-10_final
2023-12-19 10:05:57	ga_ls8c_ard_3-2-1_098074_2023-12-19_final
2023-12-21 09:57:59	ga_ls8c_ard_3-2-1_096085_2023-12-21_final
2023-12-22 10:40:03	ga_ls8c_ard_3-2-1_103082_2023-12-22_final
2023-12-24 10:23:42	ga_ls8c_ard_3-2-1_101072_2023-12-24_final
2023-12-25 09:31:40	ga_ls8c_ard_3-2-1_092081_2023-12-25_final
2023-12-27 10:55:23	ga_ls8c_ard_3-2-1_106074_2023-12-27_final
2023-12-27 10:56:58	ga_ls8c_ard_3-2-1_106078_2023-12-27_final
2023-12-29 10:42:36	ga_ls8c_ard_3-2-1_104073_2023-12-29_final
2023-12-29 10:43:24	ga_ls8c_ard_3-2-1_104075_2023-12-29_final
2023-12-30 09:50:33	ga_ls8c_ard_3-2-1_095082_2023-12-30_final
2024-01-01 09:39:46	ga_ls8c_ard_3-2-1_093086_2024-01-01_final
2024-01-04 10:06:13	ga_ls8c_ard_3-2-1_098075_2024-01-04_final
2024-01-05 10:49:04	ga_ls8c_ard_3-2-1_105074_2024-01-05_final
2024-01-06 11:31:57	ga_ls8c_ard_3-2-1_112073_2024-01-06_final
2024-01-09 10:27:11	ga_ls8c_ard_3-2-1_101081_2024-01-09_final
2024-01-10 09:32:22	ga_ls8c_ard_3-2-1_092083_2024-01-10_final
2024-01-11 10:15:14	ga_ls8c_ard_3-2-1_099082_2024-01-11_final
2024-01-13 10:00:05	ga_ls8c_ard_3-2-1_097075_2024-01-13_final
2024-01-15 09:49:43	ga_ls8c_ard_3-2-1_095080_2024-01-15_final
2024-01-15 09:50:31	ga_ls8c_ard_3-2-1_095082_2024-01-15_final
2024-01-16 10:32:59	ga_ls8c_ard_3-2-1_102080_2024-01-16_final
2024-01-17 11:14:15	ga_ls8c_ard_3-2-1_109075_2024-01-17_final
2024-01-17 11:17:26	ga_ls8c_ard_3-2-1_109083_2024-01-17_final
2024-01-21 09:11:24	ga_ls8c_ard_3-2-1_089077_2024-01-20_final
2024-01-21 10:52:17	ga_ls8c_ard_3-2-1_105082_2024-01-21_final
2024-01-24 09:41:28	ga_ls8c_ard_3-2-1_094075_2024-01-24_final
2024-01-24 11:22:20	ga_ls8c_ard_3-2-1_110080_2024-01-24_final
2024-01-27 10:12:19	ga_ls8c_ard_3-2-1_099075_2024-01-27_final
2024-01-29 09:59:35	ga_ls8c_ard_3-2-1_097074_2024-01-29_final
2024-02-01 10:30:08	ga_ls8c_ard_3-2-1_102073_2024-02-01_final
2024-02-02 09:35:19	ga_ls8c_ard_3-2-1_093075_2024-02-02_final
2024-02-02 09:37:42	ga_ls8c_ard_3-2-1_093081_2024-02-02_final
2024-02-04 09:25:46	ga_ls8c_ard_3-2-1_091082_2024-02-03_final
2024-02-07 11:35:10	ga_ls8c_ard_3-2-1_112081_2024-02-07_final
2024-02-09 09:45:55	ga_ls8c_ard_3-2-1_094086_2024-02-09_final
2024-02-09 11:20:48	ga_ls8c_ard_3-2-1_110076_2024-02-09_final
2024-02-11 09:33:09	ga_ls8c_ard_3-2-1_092085_2024-02-11_final
2024-02-11 09:33:33	ga_ls8c_ard_3-2-1_092086_2024-02-11_final
2024-02-14 10:02:50	ga_ls8c_ard_3-2-1_097082_2024-02-14_final
2024-02-15 09:06:48	ga_ls8c_ard_3-2-1_088081_2024-02-14_final
2024-02-15 10:43:17	ga_ls8c_ard_3-2-1_104075_2024-02-15_final
2024-02-16 09:51:39	ga_ls8c_ard_3-2-1_095085_2024-02-16_final
2024-02-17 10:31:20	ga_ls8c_ard_3-2-1_102076_2024-02-17_final
2024-02-21 10:08:12	ga_ls8c_ard_3-2-1_098080_2024-02-21_final
2024-02-22 09:12:10	ga_ls8c_ard_3-2-1_089079_2024-02-21_final
2024-02-22 10:46:40	ga_ls8c_ard_3-2-1_105068_2024-02-22_final
2024-02-22 10:47:04	ga_ls8c_ard_3-2-1_105069_2024-02-22_final
2024-02-22 10:51:03	ga_ls8c_ard_3-2-1_105079_2024-02-22_final
2024-02-25 09:46:15	ga_ls8c_ard_3-2-1_094087_2024-02-25_final
2024-02-26 10:27:06	ga_ls8c_ard_3-2-1_101081_2024-02-26_final
2024-02-27 11:06:46	ga_ls8c_ard_3-2-1_108072_2024-02-27_final
2024-02-28 10:15:07	ga_ls8c_ard_3-2-1_099082_2024-02-28_final
2024-02-29 09:22:16	ga_ls8c_ard_3-2-1_090089_2024-02-28_final
2024-03-03 09:47:08	ga_ls8c_ard_3-2-1_095074_2024-03-03_final
2024-03-03 09:50:44	ga_ls8c_ard_3-2-1_095083_2024-03-03_final
2024-03-03 09:51:32	ga_ls8c_ard_3-2-1_095085_2024-03-03_final
2024-03-03 11:24:02	ga_ls8c_ard_3-2-1_111069_2024-03-03_final
2024-03-06 10:17:35	ga_ls8c_ard_3-2-1_100073_2024-03-06_final
2024-03-08 10:05:36	ga_ls8c_ard_3-2-1_098074_2024-03-08_final
2024-03-10 11:34:55	ga_ls8c_ard_3-2-1_112081_2024-03-10_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