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
2018-12-20 12:37:20	ga_ls8c_ard_3-2-1_123067_2018-12-20_final
2019-09-27 12:31:37	ga_ls8c_ard_3-2-1_122067_2019-09-27_final
2022-07-16 10:08:57	ga_ls8c_ard_3-2-1_099066_2022-07-16_final
2022-07-23 11:57:43	ga_ls8c_ard_3-2-1_116075_2022-07-23_final
2022-07-24 12:37:48	ga_ls8c_ard_3-2-1_123067_2022-07-24_final
2022-11-23 11:42:59	ga_ls8c_ard_3-2-1_113084_2022-11-23_final
2023-09-05 10:08:42	ga_ls8c_ard_3-2-1_099066_2023-09-05_final
2023-11-04 10:39:14	ga_ls8c_ard_3-2-1_103080_2023-11-04_final
2023-11-05 09:42:01	ga_ls8c_ard_3-2-1_094076_2023-11-05_final
2023-11-05 11:23:41	ga_ls8c_ard_3-2-1_110083_2023-11-05_final
2023-11-08 10:15:16	ga_ls8c_ard_3-2-1_099082_2023-11-08_final
2023-11-15 10:20:41	ga_ls8c_ard_3-2-1_100080_2023-11-15_final
2023-11-15 11:58:23	ga_ls8c_ard_3-2-1_116077_2023-11-15_final
2023-11-16 11:02:46	ga_ls8c_ard_3-2-1_107077_2023-11-16_final
2023-11-19 09:54:00	ga_ls8c_ard_3-2-1_096075_2023-11-19_final
2023-11-20 10:34:29	ga_ls8c_ard_3-2-1_103068_2023-11-20_final
2023-11-23 09:32:54	ga_ls8c_ard_3-2-1_092084_2023-11-23_final
2023-11-27 10:41:28	ga_ls8c_ard_3-2-1_104070_2023-11-27_final
2023-11-29 10:32:41	ga_ls8c_ard_3-2-1_102079_2023-11-29_final
2023-11-30 09:37:51	ga_ls8c_ard_3-2-1_093081_2023-11-30_final
2023-11-30 11:16:44	ga_ls8c_ard_3-2-1_109081_2023-11-30_final
2023-12-01 10:18:18	ga_ls8c_ard_3-2-1_100074_2023-12-01_final
2023-12-02 11:01:33	ga_ls8c_ard_3-2-1_107074_2023-12-02_final
2023-12-03 10:06:18	ga_ls8c_ard_3-2-1_098075_2023-12-03_final
2023-12-04 10:51:33	ga_ls8c_ard_3-2-1_105080_2023-12-04_final
2023-12-05 11:31:59	ga_ls8c_ard_3-2-1_112073_2023-12-05_final
2023-12-06 10:35:09	ga_ls8c_ard_3-2-1_103070_2023-12-06_final
2023-12-06 10:36:21	ga_ls8c_ard_3-2-1_103073_2023-12-06_final
2023-12-07 09:43:54	ga_ls8c_ard_3-2-1_094081_2023-12-07_final
2023-12-08 10:24:23	ga_ls8c_ard_3-2-1_101074_2023-12-08_final
2023-12-09 09:33:10	ga_ls8c_ard_3-2-1_092085_2023-12-09_final
2023-12-09 11:10:03	ga_ls8c_ard_3-2-1_108080_2023-12-09_final
2023-12-10 10:10:03	ga_ls8c_ard_3-2-1_099069_2023-12-10_final
2023-12-11 10:54:32	ga_ls8c_ard_3-2-1_106072_2023-12-11_final
2023-12-12 10:02:55	ga_ls8c_ard_3-2-1_097082_2023-12-12_final
2023-12-15 10:29:03	ga_ls8c_ard_3-2-1_102070_2023-12-15_final
2023-12-16 09:40:14	ga_ls8c_ard_3-2-1_093087_2023-12-16_final
2023-12-16 11:11:56	ga_ls8c_ard_3-2-1_109069_2023-12-16_final
2023-12-18 11:01:11	ga_ls8c_ard_3-2-1_107073_2023-12-18_final
2023-12-22 10:34:52	ga_ls8c_ard_3-2-1_103069_2023-12-22_final
2023-12-23 09:44:02	ga_ls8c_ard_3-2-1_094081_2023-12-23_final
2023-12-23 09:45:38	ga_ls8c_ard_3-2-1_094085_2023-12-23_final
2023-12-24 10:24:06	ga_ls8c_ard_3-2-1_101073_2023-12-24_final
2023-12-26 10:15:19	ga_ls8c_ard_3-2-1_099082_2023-12-26_final
2023-12-27 10:57:22	ga_ls8c_ard_3-2-1_106079_2023-12-27_final
2023-12-28 09:59:21	ga_ls8c_ard_3-2-1_097073_2023-12-28_final
2023-12-28 10:02:56	ga_ls8c_ard_3-2-1_097082_2023-12-28_final
2023-12-29 10:44:35	ga_ls8c_ard_3-2-1_104078_2023-12-29_final
2024-01-01 11:14:39	ga_ls8c_ard_3-2-1_109076_2024-01-01_final
2024-01-02 10:17:25	ga_ls8c_ard_3-2-1_100072_2024-01-02_final
2024-01-03 11:01:52	ga_ls8c_ard_3-2-1_107075_2024-01-03_final
2024-01-04 10:06:13	ga_ls8c_ard_3-2-1_098075_2024-01-04_final
2024-01-10 09:31:10	ga_ls8c_ard_3-2-1_092080_2024-01-10_final
2024-01-11 10:08:51	ga_ls8c_ard_3-2-1_099066_2024-01-11_final
2024-01-11 10:13:14	ga_ls8c_ard_3-2-1_099077_2024-01-11_final
2024-01-12 09:18:25	ga_ls8c_ard_3-2-1_090079_2024-01-11_final
2024-01-12 10:54:07	ga_ls8c_ard_3-2-1_106071_2024-01-12_final
2024-01-12 10:58:06	ga_ls8c_ard_3-2-1_106081_2024-01-12_final
2024-01-13 09:59:17	ga_ls8c_ard_3-2-1_097073_2024-01-13_final
2024-01-14 10:44:33	ga_ls8c_ard_3-2-1_104078_2024-01-14_final
2024-01-15 09:48:08	ga_ls8c_ard_3-2-1_095076_2024-01-15_final
2024-01-16 10:32:59	ga_ls8c_ard_3-2-1_102080_2024-01-16_final
2024-01-19 09:28:34	ga_ls8c_ard_3-2-1_091089_2024-01-18_final
2024-01-20 10:05:02	ga_ls8c_ard_3-2-1_098072_2024-01-20_final
2024-01-22 11:35:08	ga_ls8c_ard_3-2-1_112081_2024-01-22_final
2024-01-26 09:31:04	ga_ls8c_ard_3-2-1_092080_2024-01-26_final
2024-01-26 11:07:09	ga_ls8c_ard_3-2-1_108073_2024-01-26_final
2024-01-27 11:51:12	ga_ls8c_ard_3-2-1_115075_2024-01-27_final
2024-01-27 11:51:36	ga_ls8c_ard_3-2-1_115076_2024-01-27_final
2024-01-28 10:56:48	ga_ls8c_ard_3-2-1_106078_2024-01-28_final
2024-02-02 09:34:55	ga_ls8c_ard_3-2-1_093074_2024-02-02_final
2024-02-02 09:38:06	ga_ls8c_ard_3-2-1_093082_2024-02-02_final
2024-02-02 09:38:54	ga_ls8c_ard_3-2-1_093084_2024-02-02_final
2024-02-04 11:01:03	ga_ls8c_ard_3-2-1_107073_2024-02-04_final
2024-02-05 10:04:38	ga_ls8c_ard_3-2-1_098071_2024-02-05_final
2024-02-06 10:47:30	ga_ls8c_ard_3-2-1_105070_2024-02-06_final
2024-02-07 11:32:22	ga_ls8c_ard_3-2-1_112074_2024-02-07_final
2024-02-13 09:17:35	ga_ls8c_ard_3-2-1_090077_2024-02-12_final
2024-02-13 09:19:59	ga_ls8c_ard_3-2-1_090083_2024-02-12_final
2024-02-14 10:02:50	ga_ls8c_ard_3-2-1_097082_2024-02-14_final
2024-02-17 10:31:20	ga_ls8c_ard_3-2-1_102076_2024-02-17_final
2024-02-18 09:37:42	ga_ls8c_ard_3-2-1_093081_2024-02-18_final
2024-02-18 09:38:06	ga_ls8c_ard_3-2-1_093082_2024-02-18_final
2024-02-20 09:26:56	ga_ls8c_ard_3-2-1_091085_2024-02-19_final
2024-02-20 09:28:56	ga_ls8c_ard_3-2-1_091090_2024-02-19_final
2024-02-20 11:00:14	ga_ls8c_ard_3-2-1_107071_2024-02-20_final
2024-02-21 10:03:25	ga_ls8c_ard_3-2-1_098068_2024-02-21_final
2024-02-21 10:03:48	ga_ls8c_ard_3-2-1_098069_2024-02-21_final
2024-02-25 09:45:03	ga_ls8c_ard_3-2-1_094084_2024-02-25_final
2024-02-25 09:45:27	ga_ls8c_ard_3-2-1_094085_2024-02-25_final
2024-02-26 10:27:06	ga_ls8c_ard_3-2-1_101081_2024-02-26_final
2024-02-27 09:34:16	ga_ls8c_ard_3-2-1_092088_2024-02-27_final
2024-02-28 10:15:07	ga_ls8c_ard_3-2-1_099082_2024-02-28_final
2024-03-01 10:02:44	ga_ls8c_ard_3-2-1_097082_2024-03-01_final
2024-03-03 09:47:32	ga_ls8c_ard_3-2-1_095075_2024-03-03_final
2024-03-03 09:51:32	ga_ls8c_ard_3-2-1_095085_2024-03-03_final
2024-03-04 10:33:11	ga_ls8c_ard_3-2-1_102081_2024-03-04_final
2024-03-05 09:39:08	ga_ls8c_ard_3-2-1_093085_2024-03-05_final
2024-03-07 09:25:56	ga_ls8c_ard_3-2-1_091083_2024-03-06_final
2024-03-10 09:58:02	ga_ls8c_ard_3-2-1_096086_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years