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
2016-11-20 10:09:04	ga_ls8c_ard_3-2-1_099066_2016-11-20_final
2022-01-29 09:22:37	ga_ls8c_ard_3-2-1_091074_2022-01-28_final
2022-02-19 11:18:21	ga_ls8c_ard_3-2-1_110070_2022-02-19_final
2022-02-22 10:10:45	ga_ls8c_ard_3-2-1_099071_2022-02-22_final
2022-03-02 09:21:42	ga_ls8c_ard_3-2-1_091072_2022-03-01_final
2022-03-04 10:49:49	ga_ls8c_ard_3-2-1_105076_2022-03-04_final
2022-03-09 09:27:51	ga_ls8c_ard_3-2-1_092072_2022-03-08_final
2022-03-12 09:57:56	ga_ls8c_ard_3-2-1_097070_2022-03-12_final
2022-03-24 10:22:55	ga_ls8c_ard_3-2-1_101071_2022-03-24_final
2022-04-08 11:17:42	ga_ls8c_ard_3-2-1_110069_2022-04-08_final
2022-04-11 10:10:33	ga_ls8c_ard_3-2-1_099071_2022-04-11_final
2022-04-17 09:34:17	ga_ls8c_ard_3-2-1_093073_2022-04-17_final
2022-04-20 10:09:33	ga_ls8c_ard_3-2-1_098084_2022-04-20_final
2022-04-27 10:08:54	ga_ls8c_ard_3-2-1_099067_2022-04-27_final
2022-06-19 10:33:51	ga_ls8c_ard_3-2-1_102082_2022-06-19_final
2022-06-24 09:11:33	ga_ls8c_ard_3-2-1_089077_2022-06-23_final
2022-06-24 10:49:38	ga_ls8c_ard_3-2-1_105075_2022-06-24_final
2022-07-16 10:09:21	ga_ls8c_ard_3-2-1_099067_2022-07-16_final
2022-07-22 11:14:02	ga_ls8c_ard_3-2-1_109074_2022-07-22_final
2022-07-23 11:58:54	ga_ls8c_ard_3-2-1_116078_2022-07-23_final
2022-07-24 09:22:49	ga_ls8c_ard_3-2-1_091074_2022-07-23_final
2022-08-02 09:17:08	ga_ls8c_ard_3-2-1_090075_2022-08-01_final
2022-08-17 10:09:39	ga_ls8c_ard_3-2-1_099067_2022-08-17_final
2022-08-21 11:25:25	ga_ls8c_ard_3-2-1_111071_2022-08-21_final
2022-08-30 11:20:50	ga_ls8c_ard_3-2-1_110075_2022-08-30_final
2022-09-02 10:09:39	ga_ls8c_ard_3-2-1_099067_2022-09-02_final
2022-09-18 10:10:58	ga_ls8c_ard_3-2-1_099070_2022-09-18_final
2022-09-20 09:57:49	ga_ls8c_ard_3-2-1_097068_2022-09-20_final
2022-09-21 09:06:59	ga_ls8c_ard_3-2-1_088080_2022-09-20_final
2022-09-25 10:17:33	ga_ls8c_ard_3-2-1_100071_2022-09-25_final
2022-10-06 11:42:14	ga_ls8c_ard_3-2-1_113082_2022-10-06_final
2022-11-05 10:14:33	ga_ls8c_ard_3-2-1_099079_2022-11-05_final
2022-11-10 10:28:41	ga_ls8c_ard_3-2-1_102068_2022-11-10_final
2022-11-11 09:39:26	ga_ls8c_ard_3-2-1_093084_2022-11-11_final
2022-11-21 10:14:03	ga_ls8c_ard_3-2-1_099078_2022-11-21_final
2022-11-29 09:29:26	ga_ls8c_ard_3-2-1_091090_2022-11-28_final
2022-12-08 09:21:38	ga_ls8c_ard_3-2-1_090086_2022-12-07_final
2022-12-13 11:14:38	ga_ls8c_ard_3-2-1_109075_2022-12-13_final
2022-12-20 09:41:02	ga_ls8c_ard_3-2-1_094073_2022-12-20_final
2022-12-23 10:14:17	ga_ls8c_ard_3-2-1_099079_2022-12-23_final
2023-01-04 10:35:28	ga_ls8c_ard_3-2-1_103070_2023-01-04_final
2023-01-10 09:59:33	ga_ls8c_ard_3-2-1_097073_2023-01-10_final
2023-01-12 11:25:39	ga_ls8c_ard_3-2-1_111072_2023-01-12_final
2023-01-20 10:39:45	ga_ls8c_ard_3-2-1_103081_2023-01-20_final
2023-01-25 10:53:33	ga_ls8c_ard_3-2-1_106069_2023-01-25_final
2023-02-09 10:11:28	ga_ls8c_ard_3-2-1_099072_2023-02-09_final
2023-02-12 10:46:19	ga_ls8c_ard_3-2-1_104082_2023-02-12_final
2023-02-13 11:25:58	ga_ls8c_ard_3-2-1_111073_2023-02-13_final
2023-02-24 11:06:01	ga_ls8c_ard_3-2-1_108070_2023-02-24_final
2023-02-24 11:08:01	ga_ls8c_ard_3-2-1_108075_2023-02-24_final
2023-03-03 11:13:46	ga_ls8c_ard_3-2-1_109074_2023-03-03_final
2023-03-07 10:46:37	ga_ls8c_ard_3-2-1_105068_2023-03-07_final
2023-03-22 10:04:25	ga_ls8c_ard_3-2-1_098071_2023-03-22_final
2023-03-31 11:41:02	ga_ls8c_ard_3-2-1_113081_2023-03-31_final
2023-04-08 10:49:26	ga_ls8c_ard_3-2-1_105076_2023-04-08_final
2023-04-14 11:50:46	ga_ls8c_ard_3-2-1_115075_2023-04-14_final
2023-04-27 11:23:00	ga_ls8c_ard_3-2-1_110083_2023-04-27_final
2023-05-08 09:28:15	ga_ls8c_ard_3-2-1_091090_2023-05-07_final
2023-05-08 11:01:08	ga_ls8c_ard_3-2-1_107075_2023-05-08_final
2023-05-28 10:38:45	ga_ls8c_ard_3-2-1_103081_2023-05-28_final
2023-06-08 10:16:18	ga_ls8c_ard_3-2-1_100071_2023-06-08_final
2023-06-11 10:48:50	ga_ls8c_ard_3-2-1_105075_2023-06-11_final
2023-06-19 09:56:38	ga_ls8c_ard_3-2-1_097068_2023-06-19_final
2023-06-23 11:14:00	ga_ls8c_ard_3-2-1_109076_2023-06-23_final
2023-08-14 09:10:01	ga_ls8c_ard_3-2-1_089074_2023-08-13_final
2023-08-14 10:49:42	ga_ls8c_ard_3-2-1_105076_2023-08-14_final
2023-08-26 11:11:44	ga_ls8c_ard_3-2-1_109069_2023-08-26_final
2023-08-28 09:26:28	ga_ls8c_ard_3-2-1_091084_2023-08-27_final
2023-09-05 10:09:06	ga_ls8c_ard_3-2-1_099067_2023-09-05_final
2023-09-06 09:17:04	ga_ls8c_ard_3-2-1_090076_2023-09-05_final
2023-09-09 11:24:29	ga_ls8c_ard_3-2-1_111070_2023-09-09_final
2023-09-18 11:18:23	ga_ls8c_ard_3-2-1_110070_2023-09-18_final
2023-09-20 11:07:37	ga_ls8c_ard_3-2-1_108074_2023-09-20_final
2023-09-23 09:57:14	ga_ls8c_ard_3-2-1_097068_2023-09-23_final
2023-10-03 10:34:22	ga_ls8c_ard_3-2-1_103068_2023-10-03_final
2023-10-05 10:27:59	ga_ls8c_ard_3-2-1_101083_2023-10-05_final
2023-10-08 09:21:38	ga_ls8c_ard_3-2-1_090087_2023-10-07_final
2023-10-29 09:40:39	ga_ls8c_ard_3-2-1_093088_2023-10-29_final
2023-11-05 09:40:49	ga_ls8c_ard_3-2-1_094073_2023-11-05_final
2023-11-06 10:27:40	ga_ls8c_ard_3-2-1_101082_2023-11-06_final
2023-11-07 09:28:50	ga_ls8c_ard_3-2-1_092074_2023-11-06_final
2023-11-07 11:07:43	ga_ls8c_ard_3-2-1_108074_2023-11-07_final
2023-11-14 11:13:54	ga_ls8c_ard_3-2-1_109074_2023-11-14_final
2023-11-15 10:17:30	ga_ls8c_ard_3-2-1_100072_2023-11-15_final
2023-11-16 09:23:05	ga_ls8c_ard_3-2-1_091075_2023-11-15_final
2023-11-17 11:47:38	ga_ls8c_ard_3-2-1_114081_2023-11-17_final
2023-12-11 10:55:43	ga_ls8c_ard_3-2-1_106075_2023-12-11_final
2023-12-20 09:11:32	ga_ls8c_ard_3-2-1_089077_2023-12-19_final
2023-12-20 10:49:37	ga_ls8c_ard_3-2-1_105075_2023-12-20_final
2023-12-26 10:08:56	ga_ls8c_ard_3-2-1_099066_2023-12-26_final
2024-01-12 09:22:01	ga_ls8c_ard_3-2-1_090088_2024-01-11_final
2024-01-15 11:25:49	ga_ls8c_ard_3-2-1_111073_2024-01-15_final
2024-01-21 09:10:12	ga_ls8c_ard_3-2-1_089074_2024-01-20_final
2024-01-21 10:47:06	ga_ls8c_ard_3-2-1_105069_2024-01-21_final
2024-01-28 09:21:54	ga_ls8c_ard_3-2-1_090088_2024-01-27_final
2024-01-29 09:58:00	ga_ls8c_ard_3-2-1_097070_2024-01-29_final
2024-02-12 10:09:13	ga_ls8c_ard_3-2-1_099067_2024-02-12_final
2024-02-29 10:52:47	ga_ls8c_ard_3-2-1_106068_2024-02-29_final
2024-02-29 10:53:35	ga_ls8c_ard_3-2-1_106070_2024-02-29_final
2024-03-09 10:49:40	ga_ls8c_ard_3-2-1_105076_2024-03-09_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