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
2019-10-19 08:42:48	ga_ls8c_ard_3-2-1_084082_2019-10-18_final
2020-01-23 08:42:33	ga_ls8c_ard_3-2-1_084082_2020-01-22_final
2020-03-28 12:37:12	ga_ls8c_ard_3-2-1_123067_2020-03-28_final
2022-10-11 11:57:55	ga_ls8c_ard_3-2-1_116075_2022-10-11_final
2023-02-03 09:15:17	ga_ls8c_ard_3-2-1_089086_2023-02-02_final
2023-03-14 10:54:21	ga_ls8c_ard_3-2-1_106072_2023-03-14_final
2023-03-21 11:01:39	ga_ls8c_ard_3-2-1_107075_2023-03-21_final
2023-04-03 10:29:00	ga_ls8c_ard_3-2-1_102071_2023-04-03_final
2023-04-06 11:01:51	ga_ls8c_ard_3-2-1_107076_2023-04-06_final
2023-04-15 12:30:50	ga_ls8c_ard_3-2-1_122067_2023-04-15_final
2023-04-27 09:40:08	ga_ls8c_ard_3-2-1_094073_2023-04-27_final
2023-05-01 10:57:51	ga_ls8c_ard_3-2-1_106082_2023-05-01_final
2023-05-04 09:46:38	ga_ls8c_ard_3-2-1_095074_2023-05-04_final
2023-05-05 10:30:17	ga_ls8c_ard_3-2-1_102075_2023-05-05_final
2023-05-06 11:11:56	ga_ls8c_ard_3-2-1_109071_2023-05-06_final
2023-05-06 11:12:44	ga_ls8c_ard_3-2-1_109073_2023-05-06_final
2023-05-07 10:18:18	ga_ls8c_ard_3-2-1_100076_2023-05-07_final
2023-05-10 09:12:39	ga_ls8c_ard_3-2-1_089082_2023-05-09_final
2023-05-21 10:32:09	ga_ls8c_ard_3-2-1_102080_2023-05-21_final
2023-05-25 11:46:20	ga_ls8c_ard_3-2-1_114080_2023-05-25_final
2023-05-26 09:10:38	ga_ls8c_ard_3-2-1_089077_2023-05-25_final
2023-05-27 09:51:06	ga_ls8c_ard_3-2-1_096070_2023-05-27_final
2023-05-29 09:43:32	ga_ls8c_ard_3-2-1_094082_2023-05-29_final
2023-06-03 10:00:53	ga_ls8c_ard_3-2-1_097079_2023-06-03_final
2023-06-27 09:13:15	ga_ls8c_ard_3-2-1_089083_2023-06-26_final
2023-06-27 10:47:45	ga_ls8c_ard_3-2-1_105072_2023-06-27_final
2023-06-28 09:51:45	ga_ls8c_ard_3-2-1_096071_2023-06-28_final
2023-07-04 10:58:01	ga_ls8c_ard_3-2-1_106082_2023-07-04_final
2023-07-06 09:06:00	ga_ls8c_ard_3-2-1_088080_2023-07-05_final
2023-07-07 09:47:16	ga_ls8c_ard_3-2-1_095075_2023-07-07_final
2023-07-14 11:35:34	ga_ls8c_ard_3-2-1_112083_2023-07-14_final
2023-07-16 09:44:43	ga_ls8c_ard_3-2-1_094084_2023-07-16_final
2023-07-23 09:47:44	ga_ls8c_ard_3-2-1_095076_2023-07-23_final
2023-07-25 11:12:18	ga_ls8c_ard_3-2-1_109071_2023-07-25_final
2023-07-25 11:17:05	ga_ls8c_ard_3-2-1_109083_2023-07-25_final
2023-08-10 11:13:11	ga_ls8c_ard_3-2-1_109073_2023-08-10_final
2023-08-13 10:06:49	ga_ls8c_ard_3-2-1_098077_2023-08-13_final
2023-08-15 11:36:10	ga_ls8c_ard_3-2-1_112084_2023-08-15_final
2023-08-17 11:19:27	ga_ls8c_ard_3-2-1_110073_2023-08-17_final
2023-08-17 11:23:02	ga_ls8c_ard_3-2-1_110082_2023-08-17_final
2023-08-19 11:06:18	ga_ls8c_ard_3-2-1_108071_2023-08-19_final
2023-08-21 10:55:10	ga_ls8c_ard_3-2-1_106074_2023-08-21_final
2023-08-24 09:46:24	ga_ls8c_ard_3-2-1_095072_2023-08-24_final
2023-08-30 10:47:01	ga_ls8c_ard_3-2-1_105069_2023-08-30_final
2023-09-02 11:20:42	ga_ls8c_ard_3-2-1_110076_2023-09-02_final
2023-09-12 10:21:43	ga_ls8c_ard_3-2-1_100083_2023-09-12_final
2023-09-13 09:26:55	ga_ls8c_ard_3-2-1_091085_2023-09-12_final
2023-09-13 09:28:07	ga_ls8c_ard_3-2-1_091088_2023-09-12_final
2023-09-14 10:09:23	ga_ls8c_ard_3-2-1_098083_2023-09-14_final
2023-09-15 09:16:34	ga_ls8c_ard_3-2-1_089090_2023-09-14_final
2023-09-15 10:51:51	ga_ls8c_ard_3-2-1_105081_2023-09-15_final
2023-09-15 10:52:15	ga_ls8c_ard_3-2-1_105082_2023-09-15_final
2023-09-17 10:34:43	ga_ls8c_ard_3-2-1_103069_2023-09-17_final
2023-09-22 09:17:58	ga_ls8c_ard_3-2-1_090078_2023-09-21_final
2023-09-27 11:12:38	ga_ls8c_ard_3-2-1_109071_2023-09-27_final
2023-09-29 11:05:29	ga_ls8c_ard_3-2-1_107084_2023-09-29_final
2023-09-30 10:07:52	ga_ls8c_ard_3-2-1_098079_2023-09-30_final
2023-10-01 09:13:02	ga_ls8c_ard_3-2-1_089081_2023-09-30_final
2023-10-01 10:48:44	ga_ls8c_ard_3-2-1_105073_2023-10-01_final
2023-10-02 11:35:59	ga_ls8c_ard_3-2-1_112083_2023-10-02_final
2023-10-04 11:18:50	ga_ls8c_ard_3-2-1_110071_2023-10-04_final
2023-10-11 11:25:27	ga_ls8c_ard_3-2-1_111072_2023-10-11_final
2023-10-17 10:52:21	ga_ls8c_ard_3-2-1_105082_2023-10-17_final
2023-10-23 11:51:47	ga_ls8c_ard_3-2-1_115076_2023-10-23_final
2023-10-29 11:12:21	ga_ls8c_ard_3-2-1_109070_2023-10-29_final
2023-11-03 11:32:05	ga_ls8c_ard_3-2-1_112073_2023-11-03_final
2023-11-03 11:35:40	ga_ls8c_ard_3-2-1_112082_2023-11-03_final
2023-11-05 11:18:54	ga_ls8c_ard_3-2-1_110071_2023-11-05_final
2023-11-05 11:24:05	ga_ls8c_ard_3-2-1_110084_2023-11-05_final
2023-11-06 10:24:04	ga_ls8c_ard_3-2-1_101073_2023-11-06_final
2023-11-07 09:33:37	ga_ls8c_ard_3-2-1_092086_2023-11-07_final
2023-11-08 10:11:40	ga_ls8c_ard_3-2-1_099073_2023-11-08_final
2023-11-14 11:17:30	ga_ls8c_ard_3-2-1_109083_2023-11-14_final
2023-11-16 11:01:58	ga_ls8c_ard_3-2-1_107075_2023-11-16_final
2023-11-19 09:58:00	ga_ls8c_ard_3-2-1_096085_2023-11-19_final
2023-11-23 11:11:23	ga_ls8c_ard_3-2-1_108083_2023-11-23_final
2023-11-28 11:26:43	ga_ls8c_ard_3-2-1_111075_2023-11-28_final
2023-11-30 11:17:08	ga_ls8c_ard_3-2-1_109082_2023-11-30_final
2023-12-12 11:41:00	ga_ls8c_ard_3-2-1_113080_2023-12-12_final
2023-12-21 11:35:41	ga_ls8c_ard_3-2-1_112082_2023-12-21_final
2023-12-21 11:36:29	ga_ls8c_ard_3-2-1_112084_2023-12-21_final
2023-12-23 11:23:43	ga_ls8c_ard_3-2-1_110083_2023-12-23_final
2023-12-24 10:23:18	ga_ls8c_ard_3-2-1_101071_2023-12-24_final
2023-12-24 10:23:42	ga_ls8c_ard_3-2-1_101072_2023-12-24_final
2024-01-04 11:46:18	ga_ls8c_ard_3-2-1_114078_2024-01-04_final
2024-01-04 11:47:06	ga_ls8c_ard_3-2-1_114080_2024-01-04_final
2024-01-10 09:32:46	ga_ls8c_ard_3-2-1_092084_2024-01-10_final
2024-01-10 11:06:28	ga_ls8c_ard_3-2-1_108071_2024-01-10_final
2024-01-10 11:09:39	ga_ls8c_ard_3-2-1_108079_2024-01-10_final
2024-01-20 11:45:07	ga_ls8c_ard_3-2-1_114075_2024-01-20_final
2024-01-22 09:53:03	ga_ls8c_ard_3-2-1_096073_2024-01-22_final
2024-01-23 10:37:54	ga_ls8c_ard_3-2-1_103077_2024-01-23_final
2024-01-29 10:01:11	ga_ls8c_ard_3-2-1_097078_2024-01-29_final
2024-02-08 10:36:45	ga_ls8c_ard_3-2-1_103074_2024-02-08_final
2024-02-10 10:25:11	ga_ls8c_ard_3-2-1_101076_2024-02-10_final
2024-02-11 11:06:03	ga_ls8c_ard_3-2-1_108070_2024-02-11_final
2024-02-11 11:08:26	ga_ls8c_ard_3-2-1_108076_2024-02-11_final
2024-02-12 11:50:54	ga_ls8c_ard_3-2-1_115074_2024-02-12_final
2024-03-01 11:40:49	ga_ls8c_ard_3-2-1_113080_2024-03-01_final
2024-03-04 10:29:35	ga_ls8c_ard_3-2-1_102072_2024-03-04_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