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
2018-11-30 08:10:38	ga_ls8c_ard_3-2-1_079080_2018-11-29_final
2022-06-30 10:08:58	ga_ls8c_ard_3-2-1_099066_2022-06-30_final
2023-02-04 11:32:39	ga_ls8c_ard_3-2-1_112074_2023-02-04_final
2023-03-17 11:24:50	ga_ls8c_ard_3-2-1_111071_2023-03-17_final
2023-03-22 10:03:37	ga_ls8c_ard_3-2-1_098069_2023-03-22_final
2023-03-22 10:09:36	ga_ls8c_ard_3-2-1_098084_2023-03-22_final
2023-05-01 09:22:10	ga_ls8c_ard_3-2-1_090090_2023-04-30_final
2023-05-18 11:37:42	ga_ls8c_ard_3-2-1_113074_2023-05-18_final
2023-05-22 09:32:56	ga_ls8c_ard_3-2-1_093071_2023-05-22_final
2023-05-24 09:26:58	ga_ls8c_ard_3-2-1_091087_2023-05-23_final
2023-06-03 09:57:17	ga_ls8c_ard_3-2-1_097070_2023-06-03_final
2023-06-05 11:25:03	ga_ls8c_ard_3-2-1_111073_2023-06-05_final
2023-06-08 10:16:18	ga_ls8c_ard_3-2-1_100071_2023-06-08_final
2023-06-09 09:22:17	ga_ls8c_ard_3-2-1_091075_2023-06-08_final
2023-06-10 11:46:50	ga_ls8c_ard_3-2-1_114081_2023-06-10_final
2023-06-11 09:09:33	ga_ls8c_ard_3-2-1_089074_2023-06-10_final
2023-06-20 09:05:48	ga_ls8c_ard_3-2-1_088080_2023-06-19_final
2023-06-21 08:10:11	ga_ls8c_ard_3-2-1_079080_2023-06-20_final
2023-06-26 10:03:41	ga_ls8c_ard_3-2-1_098070_2023-06-26_final
2023-07-05 11:41:41	ga_ls8c_ard_3-2-1_113083_2023-07-05_final
2023-07-06 09:06:24	ga_ls8c_ard_3-2-1_088081_2023-07-05_final
2023-07-07 11:24:10	ga_ls8c_ard_3-2-1_111070_2023-07-07_final
2023-07-09 11:12:13	ga_ls8c_ard_3-2-1_109071_2023-07-09_final
2023-07-25 11:14:17	ga_ls8c_ard_3-2-1_109076_2023-07-25_final
2023-07-31 10:39:16	ga_ls8c_ard_3-2-1_103081_2023-07-31_final
2023-08-01 11:23:44	ga_ls8c_ard_3-2-1_110084_2023-08-01_final
2023-08-04 10:09:23	ga_ls8c_ard_3-2-1_099068_2023-08-04_final
2023-08-04 10:15:22	ga_ls8c_ard_3-2-1_099083_2023-08-04_final
2023-08-07 09:07:00	ga_ls8c_ard_3-2-1_088082_2023-08-06_final
2023-08-08 09:51:51	ga_ls8c_ard_3-2-1_095086_2023-08-08_final
2023-08-12 09:28:20	ga_ls8c_ard_3-2-1_091089_2023-08-11_final
2023-08-22 11:38:26	ga_ls8c_ard_3-2-1_113074_2023-08-22_final
2023-08-23 10:42:25	ga_ls8c_ard_3-2-1_104073_2023-08-23_final
2023-08-26 11:13:43	ga_ls8c_ard_3-2-1_109074_2023-08-26_final
2023-09-04 11:11:07	ga_ls8c_ard_3-2-1_108083_2023-09-04_final
2023-09-13 12:37:30	ga_ls8c_ard_3-2-1_123067_2023-09-13_final
2023-09-15 09:12:10	ga_ls8c_ard_3-2-1_089079_2023-09-14_final
2023-09-21 10:09:12	ga_ls8c_ard_3-2-1_099067_2023-09-21_final
2023-09-21 11:51:16	ga_ls8c_ard_3-2-1_115075_2023-09-21_final
2023-10-01 09:12:14	ga_ls8c_ard_3-2-1_089079_2023-09-30_final
2023-10-02 11:36:23	ga_ls8c_ard_3-2-1_112084_2023-10-02_final
2023-10-04 09:39:57	ga_ls8c_ard_3-2-1_094071_2023-10-04_final
2023-10-06 11:08:03	ga_ls8c_ard_3-2-1_108075_2023-10-06_final
2023-10-07 11:52:32	ga_ls8c_ard_3-2-1_115078_2023-10-07_final
2023-10-08 09:22:49	ga_ls8c_ard_3-2-1_090090_2023-10-07_final
2023-10-08 10:52:56	ga_ls8c_ard_3-2-1_106068_2023-10-08_final
2023-10-12 10:28:14	ga_ls8c_ard_3-2-1_102068_2023-10-12_final
2023-10-13 09:34:13	ga_ls8c_ard_3-2-1_093072_2023-10-13_final
2023-10-16 10:07:30	ga_ls8c_ard_3-2-1_098078_2023-10-16_final
2023-10-16 10:10:18	ga_ls8c_ard_3-2-1_098085_2023-10-16_final
2023-10-17 09:14:40	ga_ls8c_ard_3-2-1_089085_2023-10-16_final
2023-10-21 10:23:14	ga_ls8c_ard_3-2-1_101071_2023-10-21_final
2023-10-22 09:34:49	ga_ls8c_ard_3-2-1_092089_2023-10-22_final
2023-11-02 09:13:08	ga_ls8c_ard_3-2-1_089081_2023-11-01_final
2023-11-09 10:52:55	ga_ls8c_ard_3-2-1_106068_2023-11-09_final
2023-11-11 09:07:40	ga_ls8c_ard_3-2-1_088083_2023-11-10_final
2023-11-15 11:57:35	ga_ls8c_ard_3-2-1_116075_2023-11-15_final
2023-11-15 11:57:59	ga_ls8c_ard_3-2-1_116076_2023-11-15_final
2023-11-17 10:03:57	ga_ls8c_ard_3-2-1_098069_2023-11-17_final
2023-11-17 10:09:57	ga_ls8c_ard_3-2-1_098084_2023-11-17_final
2023-11-30 11:11:57	ga_ls8c_ard_3-2-1_109069_2023-11-30_final
2023-11-30 11:14:20	ga_ls8c_ard_3-2-1_109075_2023-11-30_final
2023-12-05 09:52:18	ga_ls8c_ard_3-2-1_096071_2023-12-05_final
2023-12-07 09:44:42	ga_ls8c_ard_3-2-1_094083_2023-12-07_final
2023-12-10 10:08:52	ga_ls8c_ard_3-2-1_099066_2023-12-10_final
2023-12-11 10:53:20	ga_ls8c_ard_3-2-1_106069_2023-12-11_final
2023-12-12 09:57:43	ga_ls8c_ard_3-2-1_097069_2023-12-12_final
2023-12-14 11:25:52	ga_ls8c_ard_3-2-1_111073_2023-12-14_final
2023-12-15 10:28:15	ga_ls8c_ard_3-2-1_102068_2023-12-15_final
2023-12-18 11:05:10	ga_ls8c_ard_3-2-1_107083_2023-12-18_final
2023-12-26 10:11:43	ga_ls8c_ard_3-2-1_099073_2023-12-26_final
2023-12-27 09:21:17	ga_ls8c_ard_3-2-1_090086_2023-12-26_final
2024-01-01 11:14:15	ga_ls8c_ard_3-2-1_109075_2024-01-01_final
2024-01-12 09:20:25	ga_ls8c_ard_3-2-1_090084_2024-01-11_final
2024-01-12 10:54:31	ga_ls8c_ard_3-2-1_106072_2024-01-12_final
2024-01-12 10:58:30	ga_ls8c_ard_3-2-1_106082_2024-01-12_final
2024-01-15 11:26:37	ga_ls8c_ard_3-2-1_111075_2024-01-15_final
2024-01-19 09:26:35	ga_ls8c_ard_3-2-1_091084_2024-01-18_final
2024-01-19 11:00:16	ga_ls8c_ard_3-2-1_107071_2024-01-19_final
2024-01-21 09:11:48	ga_ls8c_ard_3-2-1_089078_2024-01-20_final
2024-01-21 10:46:18	ga_ls8c_ard_3-2-1_105067_2024-01-21_final
2024-01-23 10:36:18	ga_ls8c_ard_3-2-1_103073_2024-01-23_final
2024-01-24 09:40:40	ga_ls8c_ard_3-2-1_094073_2024-01-24_final
2024-01-28 09:21:54	ga_ls8c_ard_3-2-1_090088_2024-01-27_final
2024-01-30 09:06:46	ga_ls8c_ard_3-2-1_088081_2024-01-29_final
2024-02-02 11:14:12	ga_ls8c_ard_3-2-1_109075_2024-02-02_final
2024-02-12 10:09:13	ga_ls8c_ard_3-2-1_099067_2024-02-12_final
2024-02-12 10:10:49	ga_ls8c_ard_3-2-1_099071_2024-02-12_final
2024-02-16 11:25:45	ga_ls8c_ard_3-2-1_111073_2024-02-16_final
2024-02-21 10:03:25	ga_ls8c_ard_3-2-1_098068_2024-02-21_final
2024-02-22 09:13:22	ga_ls8c_ard_3-2-1_089082_2024-02-21_final
2024-02-22 10:47:04	ga_ls8c_ard_3-2-1_105069_2024-02-22_final
2024-02-23 09:57:49	ga_ls8c_ard_3-2-1_096085_2024-02-23_final
2024-02-24 10:34:41	ga_ls8c_ard_3-2-1_103069_2024-02-24_final
2024-02-27 11:11:33	ga_ls8c_ard_3-2-1_108084_2024-02-27_final
2024-03-06 10:18:47	ga_ls8c_ard_3-2-1_100076_2024-03-06_final
2024-03-06 10:21:34	ga_ls8c_ard_3-2-1_100083_2024-03-06_final
2024-03-06 11:57:40	ga_ls8c_ard_3-2-1_116076_2024-03-06_final
2024-03-08 11:46:53	ga_ls8c_ard_3-2-1_114080_2024-03-08_final
2024-03-11 10:36:30	ga_ls8c_ard_3-2-1_103074_2024-03-11_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