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
2022-01-12 08:42:39	ga_ls8c_ard_3-2-1_084082_2022-01-11_final
2022-01-14 10:06:46	ga_ls8c_ard_3-2-1_098076_2022-01-14_final
2022-12-14 11:57:53	ga_ls8c_ard_3-2-1_116075_2022-12-14_final
2023-03-06 10:07:45	ga_ls8c_ard_3-2-1_098079_2023-03-06_final
2023-03-12 09:29:02	ga_ls8c_ard_3-2-1_092075_2023-03-11_final
2023-03-25 10:38:52	ga_ls8c_ard_3-2-1_103080_2023-03-25_final
2023-03-30 10:54:35	ga_ls8c_ard_3-2-1_106073_2023-03-30_final
2023-03-31 11:40:38	ga_ls8c_ard_3-2-1_113080_2023-03-31_final
2023-04-06 09:23:22	ga_ls8c_ard_3-2-1_091077_2023-04-05_final
2023-04-08 10:47:02	ga_ls8c_ard_3-2-1_105070_2023-04-08_final
2023-04-13 11:10:42	ga_ls8c_ard_3-2-1_108083_2023-04-13_final
2023-04-20 11:11:38	ga_ls8c_ard_3-2-1_109070_2023-04-20_final
2023-04-20 11:12:02	ga_ls8c_ard_3-2-1_109071_2023-04-20_final
2023-04-21 10:17:37	ga_ls8c_ard_3-2-1_100074_2023-04-21_final
2023-04-24 10:51:43	ga_ls8c_ard_3-2-1_105082_2023-04-24_final
2023-05-02 11:40:42	ga_ls8c_ard_3-2-1_113081_2023-05-02_final
2023-05-13 09:43:30	ga_ls8c_ard_3-2-1_094082_2023-05-13_final
2023-05-20 09:45:17	ga_ls8c_ard_3-2-1_095071_2023-05-20_final
2023-05-24 11:03:04	ga_ls8c_ard_3-2-1_107080_2023-05-24_final
2023-05-26 10:51:54	ga_ls8c_ard_3-2-1_105083_2023-05-26_final
2023-05-31 11:05:39	ga_ls8c_ard_3-2-1_108071_2023-05-31_final
2023-06-05 09:51:45	ga_ls8c_ard_3-2-1_095087_2023-06-05_final
2023-06-07 09:37:01	ga_ls8c_ard_3-2-1_093081_2023-06-07_final
2023-06-14 09:44:28	ga_ls8c_ard_3-2-1_094084_2023-06-14_final
2023-06-30 09:44:12	ga_ls8c_ard_3-2-1_094083_2023-06-30_final
2023-07-03 11:51:38	ga_ls8c_ard_3-2-1_115077_2023-07-03_final
2023-07-05 10:03:12	ga_ls8c_ard_3-2-1_097084_2023-07-05_final
2023-07-07 09:50:52	ga_ls8c_ard_3-2-1_095084_2023-07-07_final
2023-07-08 10:28:33	ga_ls8c_ard_3-2-1_102070_2023-07-08_final
2023-07-13 09:13:01	ga_ls8c_ard_3-2-1_089082_2023-07-12_final
2023-07-14 09:51:29	ga_ls8c_ard_3-2-1_096070_2023-07-14_final
2023-08-01 09:40:52	ga_ls8c_ard_3-2-1_094074_2023-08-01_final
2023-08-05 10:55:03	ga_ls8c_ard_3-2-1_106074_2023-08-05_final
2023-08-12 10:59:38	ga_ls8c_ard_3-2-1_107070_2023-08-12_final
2023-08-20 10:15:29	ga_ls8c_ard_3-2-1_099083_2023-08-20_final
2023-08-26 09:35:14	ga_ls8c_ard_3-2-1_093075_2023-08-26_final
2023-08-26 11:13:19	ga_ls8c_ard_3-2-1_109073_2023-08-26_final
2023-08-31 09:52:11	ga_ls8c_ard_3-2-1_096071_2023-08-31_final
2023-09-11 09:35:15	ga_ls8c_ard_3-2-1_093075_2023-09-11_final
2023-09-14 10:07:47	ga_ls8c_ard_3-2-1_098079_2023-09-14_final
2023-09-18 11:20:46	ga_ls8c_ard_3-2-1_110076_2023-09-18_final
2023-09-25 09:46:54	ga_ls8c_ard_3-2-1_095073_2023-09-25_final
2023-10-06 09:35:09	ga_ls8c_ard_3-2-1_092090_2023-10-06_final
2023-10-07 10:14:26	ga_ls8c_ard_3-2-1_099080_2023-10-07_final
2023-10-08 10:54:55	ga_ls8c_ard_3-2-1_106073_2023-10-08_final
2023-10-09 09:58:55	ga_ls8c_ard_3-2-1_097072_2023-10-09_final
2023-10-15 11:00:44	ga_ls8c_ard_3-2-1_107072_2023-10-15_final
2023-10-17 10:47:10	ga_ls8c_ard_3-2-1_105069_2023-10-17_final
2023-10-17 10:52:45	ga_ls8c_ard_3-2-1_105083_2023-10-17_final
2023-10-20 11:18:51	ga_ls8c_ard_3-2-1_110071_2023-10-20_final
2023-11-01 10:07:09	ga_ls8c_ard_3-2-1_098077_2023-11-01_final
2023-11-04 10:34:51	ga_ls8c_ard_3-2-1_103069_2023-11-04_final
2023-11-07 11:11:42	ga_ls8c_ard_3-2-1_108084_2023-11-07_final
2023-11-08 11:50:57	ga_ls8c_ard_3-2-1_115074_2023-11-08_final
2023-11-10 09:58:29	ga_ls8c_ard_3-2-1_097071_2023-11-10_final
2023-11-11 10:40:58	ga_ls8c_ard_3-2-1_104069_2023-11-11_final
2023-11-14 11:17:06	ga_ls8c_ard_3-2-1_109082_2023-11-14_final
2023-11-21 11:24:08	ga_ls8c_ard_3-2-1_110084_2023-11-21_final
2023-11-26 09:59:49	ga_ls8c_ard_3-2-1_097074_2023-11-26_final
2023-11-27 10:41:04	ga_ls8c_ard_3-2-1_104069_2023-11-27_final
2023-11-28 09:49:50	ga_ls8c_ard_3-2-1_095080_2023-11-28_final
2023-12-02 09:24:16	ga_ls8c_ard_3-2-1_091078_2023-12-01_final
2023-12-02 11:01:57	ga_ls8c_ard_3-2-1_107075_2023-12-02_final
2023-12-04 10:46:21	ga_ls8c_ard_3-2-1_105067_2023-12-04_final
2023-12-08 10:25:11	ga_ls8c_ard_3-2-1_101076_2023-12-08_final
2023-12-12 11:41:24	ga_ls8c_ard_3-2-1_113081_2023-12-12_final
2023-12-13 10:41:00	ga_ls8c_ard_3-2-1_104069_2023-12-13_final
2023-12-16 11:16:43	ga_ls8c_ard_3-2-1_109081_2023-12-16_final
2023-12-18 09:23:53	ga_ls8c_ard_3-2-1_091077_2023-12-17_final
2023-12-19 11:45:14	ga_ls8c_ard_3-2-1_114075_2023-12-19_final
2023-12-22 10:34:52	ga_ls8c_ard_3-2-1_103069_2023-12-22_final
2023-12-24 10:25:42	ga_ls8c_ard_3-2-1_101077_2023-12-24_final
2023-12-25 11:06:09	ga_ls8c_ard_3-2-1_108070_2023-12-25_final
2023-12-29 10:45:23	ga_ls8c_ard_3-2-1_104080_2023-12-29_final
2023-12-30 09:51:21	ga_ls8c_ard_3-2-1_095084_2023-12-30_final
2024-01-01 09:34:58	ga_ls8c_ard_3-2-1_093074_2024-01-01_final
2024-01-08 09:43:55	ga_ls8c_ard_3-2-1_094081_2024-01-08_final
2024-01-11 10:12:50	ga_ls8c_ard_3-2-1_099076_2024-01-11_final
2024-01-12 10:57:42	ga_ls8c_ard_3-2-1_106080_2024-01-12_final
2024-01-20 10:08:14	ga_ls8c_ard_3-2-1_098080_2024-01-20_final
2024-01-21 09:14:12	ga_ls8c_ard_3-2-1_089084_2024-01-20_final
2024-01-23 10:39:30	ga_ls8c_ard_3-2-1_103081_2024-01-23_final
2024-01-25 10:23:30	ga_ls8c_ard_3-2-1_101072_2024-01-25_final
2024-01-28 10:57:35	ga_ls8c_ard_3-2-1_106080_2024-01-28_final
2024-01-31 09:47:15	ga_ls8c_ard_3-2-1_095074_2024-01-31_final
2024-01-31 11:30:08	ga_ls8c_ard_3-2-1_111084_2024-01-31_final
2024-02-05 11:46:19	ga_ls8c_ard_3-2-1_114078_2024-02-05_final
2024-02-06 09:13:01	ga_ls8c_ard_3-2-1_089081_2024-02-05_final
2024-02-12 10:12:25	ga_ls8c_ard_3-2-1_099075_2024-02-12_final
2024-02-18 11:17:47	ga_ls8c_ard_3-2-1_109084_2024-02-18_final
2024-02-22 09:14:58	ga_ls8c_ard_3-2-1_089086_2024-02-21_final
2024-02-27 09:33:52	ga_ls8c_ard_3-2-1_092087_2024-02-27_final
2024-03-01 10:03:31	ga_ls8c_ard_3-2-1_097084_2024-03-01_final
2024-03-05 11:15:13	ga_ls8c_ard_3-2-1_109078_2024-03-05_final
2024-03-07 09:26:20	ga_ls8c_ard_3-2-1_091084_2024-03-06_final
2024-03-14 09:29:18	ga_ls8c_ard_3-2-1_092076_2024-03-13_final
2024-03-21 09:38:35	ga_ls8c_ard_3-2-1_093084_2024-03-21_final
2024-03-28 11:20:18	ga_ls8c_ard_3-2-1_110076_2024-03-28_final
2024-04-02 10:01:34	ga_ls8c_ard_3-2-1_097080_2024-04-02_final
2024-04-02 11:40:51	ga_ls8c_ard_3-2-1_113081_2024-04-02_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