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
2023-02-01 11:04:32	ga_ls8c_ard_3-2-1_107081_2023-02-01_final
2023-02-02 10:07:19	ga_ls8c_ard_3-2-1_098077_2023-02-02_final
2023-02-02 11:47:00	ga_ls8c_ard_3-2-1_114079_2023-02-02_final
2023-02-04 11:36:38	ga_ls8c_ard_3-2-1_112084_2023-02-04_final
2023-03-21 09:22:22	ga_ls8c_ard_3-2-1_091074_2023-03-20_final
2023-03-22 11:46:29	ga_ls8c_ard_3-2-1_114079_2023-03-22_final
2023-03-24 09:51:37	ga_ls8c_ard_3-2-1_096070_2023-03-24_final
2023-06-24 10:18:23	ga_ls8c_ard_3-2-1_100076_2023-06-24_final
2023-06-26 10:04:04	ga_ls8c_ard_3-2-1_098071_2023-06-26_final
2023-06-28 11:31:26	ga_ls8c_ard_3-2-1_112073_2023-06-28_final
2023-07-02 09:29:05	ga_ls8c_ard_3-2-1_092076_2023-07-01_final
2023-07-09 09:34:31	ga_ls8c_ard_3-2-1_093074_2023-07-09_final
2023-07-11 09:26:10	ga_ls8c_ard_3-2-1_091084_2023-07-10_final
2023-07-12 10:05:26	ga_ls8c_ard_3-2-1_098074_2023-07-12_final
2023-07-15 10:39:32	ga_ls8c_ard_3-2-1_103082_2023-07-15_final
2023-07-19 10:11:13	ga_ls8c_ard_3-2-1_099073_2023-07-19_final
2023-07-23 09:47:44	ga_ls8c_ard_3-2-1_095076_2023-07-23_final
2023-07-23 09:50:32	ga_ls8c_ard_3-2-1_095083_2023-07-23_final
2023-07-23 11:29:49	ga_ls8c_ard_3-2-1_111084_2023-07-23_final
2023-07-26 10:17:05	ga_ls8c_ard_3-2-1_100072_2023-07-26_final
2023-07-26 10:17:53	ga_ls8c_ard_3-2-1_100074_2023-07-26_final
2023-07-26 11:57:58	ga_ls8c_ard_3-2-1_116077_2023-07-26_final
2023-07-27 09:27:28	ga_ls8c_ard_3-2-1_091087_2023-07-26_final
2023-07-28 10:06:21	ga_ls8c_ard_3-2-1_098076_2023-07-28_final
2023-07-29 09:12:44	ga_ls8c_ard_3-2-1_089081_2023-07-28_final
2023-08-03 09:33:42	ga_ls8c_ard_3-2-1_092087_2023-08-03_final
2023-08-05 10:55:50	ga_ls8c_ard_3-2-1_106076_2023-08-05_final
2023-08-09 10:29:55	ga_ls8c_ard_3-2-1_102073_2023-08-09_final
2023-08-12 09:28:20	ga_ls8c_ard_3-2-1_091089_2023-08-11_final
2023-08-12 11:00:02	ga_ls8c_ard_3-2-1_107071_2023-08-12_final
2023-08-14 10:48:54	ga_ls8c_ard_3-2-1_105074_2023-08-14_final
2023-08-15 09:52:06	ga_ls8c_ard_3-2-1_096071_2023-08-15_final
2023-08-20 10:09:30	ga_ls8c_ard_3-2-1_099068_2023-08-20_final
2023-08-24 09:51:59	ga_ls8c_ard_3-2-1_095086_2023-08-24_final
2023-08-26 09:40:26	ga_ls8c_ard_3-2-1_093088_2023-08-26_final
2023-08-27 10:18:54	ga_ls8c_ard_3-2-1_100076_2023-08-27_final
2023-08-28 11:04:33	ga_ls8c_ard_3-2-1_107082_2023-08-28_final
2023-08-29 10:04:57	ga_ls8c_ard_3-2-1_098072_2023-08-29_final
2023-08-29 10:07:20	ga_ls8c_ard_3-2-1_098078_2023-08-29_final
2023-08-29 10:07:44	ga_ls8c_ard_3-2-1_098079_2023-08-29_final
2023-08-30 09:11:19	ga_ls8c_ard_3-2-1_089077_2023-08-29_final
2023-08-31 11:35:27	ga_ls8c_ard_3-2-1_112082_2023-08-31_final
2023-09-07 09:59:07	ga_ls8c_ard_3-2-1_097073_2023-09-07_final
2023-09-07 09:59:31	ga_ls8c_ard_3-2-1_097074_2023-09-07_final
2023-09-07 10:01:31	ga_ls8c_ard_3-2-1_097079_2023-09-07_final
2023-09-12 11:58:37	ga_ls8c_ard_3-2-1_116078_2023-09-12_final
2023-09-13 09:26:31	ga_ls8c_ard_3-2-1_091084_2023-09-12_final
2023-09-14 11:45:52	ga_ls8c_ard_3-2-1_114077_2023-09-14_final
2023-09-18 11:23:58	ga_ls8c_ard_3-2-1_110084_2023-09-18_final
2023-09-20 11:11:36	ga_ls8c_ard_3-2-1_108084_2023-09-20_final
2023-09-21 10:11:12	ga_ls8c_ard_3-2-1_099072_2023-09-21_final
2023-09-21 11:52:04	ga_ls8c_ard_3-2-1_115077_2023-09-21_final
2023-09-22 10:56:03	ga_ls8c_ard_3-2-1_106076_2023-09-22_final
2023-09-29 09:23:24	ga_ls8c_ard_3-2-1_091076_2023-09-28_final
2023-09-30 10:05:04	ga_ls8c_ard_3-2-1_098072_2023-09-30_final
2023-09-30 10:07:28	ga_ls8c_ard_3-2-1_098078_2023-09-30_final
2023-09-30 11:46:21	ga_ls8c_ard_3-2-1_114078_2023-09-30_final
2023-10-01 10:51:55	ga_ls8c_ard_3-2-1_105081_2023-10-01_final
2023-10-02 09:52:19	ga_ls8c_ard_3-2-1_096071_2023-10-02_final
2023-10-04 09:43:56	ga_ls8c_ard_3-2-1_094081_2023-10-04_final
2023-10-04 11:23:13	ga_ls8c_ard_3-2-1_110082_2023-10-04_final
2023-10-07 10:12:51	ga_ls8c_ard_3-2-1_099076_2023-10-07_final
2023-10-09 09:59:43	ga_ls8c_ard_3-2-1_097074_2023-10-09_final
2023-10-11 11:30:14	ga_ls8c_ard_3-2-1_111084_2023-10-11_final
2023-10-13 11:13:30	ga_ls8c_ard_3-2-1_109073_2023-10-13_final
2023-10-15 09:27:26	ga_ls8c_ard_3-2-1_091086_2023-10-14_final
2023-10-16 10:05:06	ga_ls8c_ard_3-2-1_098072_2023-10-16_final
2023-10-16 10:06:42	ga_ls8c_ard_3-2-1_098076_2023-10-16_final
2023-10-16 11:45:59	ga_ls8c_ard_3-2-1_114077_2023-10-16_final
2023-10-17 09:13:04	ga_ls8c_ard_3-2-1_089081_2023-10-16_final
2023-10-19 10:39:35	ga_ls8c_ard_3-2-1_103081_2023-10-19_final
2023-10-20 09:46:21	ga_ls8c_ard_3-2-1_094087_2023-10-20_final
2023-10-22 09:29:13	ga_ls8c_ard_3-2-1_092075_2023-10-21_final
2023-10-22 11:08:06	ga_ls8c_ard_3-2-1_108075_2023-10-22_final
2023-10-23 10:12:54	ga_ls8c_ard_3-2-1_099076_2023-10-23_final
2023-10-24 09:18:05	ga_ls8c_ard_3-2-1_090078_2023-10-23_final
2023-10-26 10:41:26	ga_ls8c_ard_3-2-1_104070_2023-10-26_final
2023-10-28 10:28:17	ga_ls8c_ard_3-2-1_102068_2023-10-28_final
2023-10-29 11:12:21	ga_ls8c_ard_3-2-1_109070_2023-10-29_final
2023-10-31 09:25:06	ga_ls8c_ard_3-2-1_091080_2023-10-30_final
2023-10-31 09:27:29	ga_ls8c_ard_3-2-1_091086_2023-10-30_final
2023-10-31 10:59:59	ga_ls8c_ard_3-2-1_107070_2023-10-31_final
2023-11-01 10:05:57	ga_ls8c_ard_3-2-1_098074_2023-11-01_final
2023-11-01 11:46:02	ga_ls8c_ard_3-2-1_114077_2023-11-01_final
2023-11-02 09:12:44	ga_ls8c_ard_3-2-1_089080_2023-11-01_final
2023-11-09 09:21:13	ga_ls8c_ard_3-2-1_090086_2023-11-08_final
2023-11-09 10:53:19	ga_ls8c_ard_3-2-1_106069_2023-11-09_final
2023-11-10 09:59:17	ga_ls8c_ard_3-2-1_097073_2023-11-10_final
2023-11-10 11:41:46	ga_ls8c_ard_3-2-1_113082_2023-11-10_final
2023-11-11 10:41:46	ga_ls8c_ard_3-2-1_104071_2023-11-11_final
2023-11-12 09:46:33	ga_ls8c_ard_3-2-1_095072_2023-11-12_final
2023-11-14 09:35:25	ga_ls8c_ard_3-2-1_093075_2023-11-14_final
2023-11-16 09:26:16	ga_ls8c_ard_3-2-1_091083_2023-11-15_final
2023-11-17 10:03:34	ga_ls8c_ard_3-2-1_098068_2023-11-17_final
2023-11-18 09:13:56	ga_ls8c_ard_3-2-1_089083_2023-11-17_final
2023-11-18 09:16:20	ga_ls8c_ard_3-2-1_089089_2023-11-17_final
2023-11-21 11:23:20	ga_ls8c_ard_3-2-1_110082_2023-11-21_final
2023-11-21 11:24:08	ga_ls8c_ard_3-2-1_110084_2023-11-21_final
2023-11-22 10:28:07	ga_ls8c_ard_3-2-1_101083_2023-11-22_final
2023-11-23 09:34:54	ga_ls8c_ard_3-2-1_092089_2023-11-23_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