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
2021-10-23 09:34:53	ga_ls8c_ard_3-2-0_093073_2021-10-23_final
2021-10-29 10:36:17	ga_ls8c_ard_3-2-0_103072_2021-10-29_final
2021-11-01 11:07:58	ga_ls8c_ard_3-2-0_108074_2021-11-01_final
2021-11-09 10:17:42	ga_ls8c_ard_3-2-0_100072_2021-11-09_final
2021-11-17 09:29:24	ga_ls8c_ard_3-2-0_092075_2021-11-16_final
2021-11-22 09:46:21	ga_ls8c_ard_3-2-0_095071_2021-11-22_final
2021-11-29 11:31:50	ga_ls8c_ard_3-2-0_112072_2021-11-29_final
2021-11-29 11:36:37	ga_ls8c_ard_3-2-0_112084_2021-11-29_final
2021-12-08 09:47:10	ga_ls8c_ard_3-2-1_095073_2021-12-08_final
2021-12-08 11:25:15	ga_ls8c_ard_3-2-1_111071_2021-12-08_final
2021-12-20 10:09:03	ga_ls8c_ard_3-2-1_099066_2021-12-20_final
2022-01-04 11:07:47	ga_ls8c_ard_3-2-1_108074_2022-01-04_final
2022-01-16 09:52:48	ga_ls8c_ard_3-2-1_096072_2022-01-16_final
2022-01-21 11:53:23	ga_ls8c_ard_3-2-1_115080_2022-01-21_final
2022-01-31 09:11:51	ga_ls8c_ard_3-2-1_089078_2022-01-30_final
2022-03-03 10:04:10	ga_ls8c_ard_3-2-1_098070_2022-03-03_final
2022-03-10 10:09:30	ga_ls8c_ard_3-2-1_099068_2022-03-10_final
2022-03-16 11:11:39	ga_ls8c_ard_3-2-1_109069_2022-03-16_final
2022-03-20 10:49:17	ga_ls8c_ard_3-2-1_105075_2022-03-20_final
2022-03-31 10:27:48	ga_ls8c_ard_3-2-1_102068_2022-03-31_final
2022-04-05 10:48:46	ga_ls8c_ard_3-2-1_105074_2022-04-05_final
2022-04-20 10:02:46	ga_ls8c_ard_3-2-1_098067_2022-04-20_final
2022-05-03 11:13:32	ga_ls8c_ard_3-2-1_109074_2022-05-03_final
2022-05-21 09:22:49	ga_ls8c_ard_3-2-1_091075_2022-05-20_final
2022-06-03 10:30:05	ga_ls8c_ard_3-2-1_102073_2022-06-03_final
2022-06-20 11:11:56	ga_ls8c_ard_3-2-1_109069_2022-06-20_final
2022-06-24 10:52:25	ga_ls8c_ard_3-2-1_105082_2022-06-24_final
2022-07-07 10:19:33	ga_ls8c_ard_3-2-1_100077_2022-07-07_final
2022-07-10 10:49:14	ga_ls8c_ard_3-2-1_105074_2022-07-10_final
2022-07-11 11:31:42	ga_ls8c_ard_3-2-1_112072_2022-07-11_final
2022-07-13 09:40:03	ga_ls8c_ard_3-2-1_094071_2022-07-13_final
2022-07-21 10:28:22	ga_ls8c_ard_3-2-1_102068_2022-07-21_final
2022-08-02 09:17:56	ga_ls8c_ard_3-2-1_090077_2022-08-01_final
2022-09-06 11:29:26	ga_ls8c_ard_3-2-1_111081_2022-09-06_final
2022-09-09 10:19:53	ga_ls8c_ard_3-2-1_100077_2022-09-09_final
2022-10-01 09:40:51	ga_ls8c_ard_3-2-1_094072_2022-10-01_final
2022-10-10 09:40:59	ga_ls8c_ard_3-2-1_093088_2022-10-10_final
2022-10-19 09:29:13	ga_ls8c_ard_3-2-1_092074_2022-10-18_final
2022-10-20 10:10:06	ga_ls8c_ard_3-2-1_099068_2022-10-20_final
2022-10-30 10:50:27	ga_ls8c_ard_3-2-1_105076_2022-10-30_final
2022-11-02 09:40:28	ga_ls8c_ard_3-2-1_094071_2022-11-02_final
2022-12-14 10:19:48	ga_ls8c_ard_3-2-1_100077_2022-12-14_final
2022-12-20 11:24:43	ga_ls8c_ard_3-2-1_110085_2022-12-20_final
2022-12-22 09:28:15	ga_ls8c_ard_3-2-1_092072_2022-12-21_final
2022-12-23 10:09:54	ga_ls8c_ard_3-2-1_099068_2022-12-23_final
2022-12-26 10:40:50	ga_ls8c_ard_3-2-1_104068_2022-12-26_final
2022-12-27 11:26:05	ga_ls8c_ard_3-2-1_111073_2022-12-27_final
2022-12-29 11:14:08	ga_ls8c_ard_3-2-1_109074_2022-12-29_final
2023-01-02 09:13:20	ga_ls8c_ard_3-2-1_089081_2023-01-01_final
2023-01-18 09:16:23	ga_ls8c_ard_3-2-1_089089_2023-01-17_final
2023-02-02 10:04:56	ga_ls8c_ard_3-2-1_098071_2023-02-02_final
2023-02-08 11:08:18	ga_ls8c_ard_3-2-1_108075_2023-02-08_final
2023-02-16 11:57:38	ga_ls8c_ard_3-2-1_116075_2023-02-16_final
2023-02-16 11:58:02	ga_ls8c_ard_3-2-1_116076_2023-02-16_final
2023-02-25 11:51:15	ga_ls8c_ard_3-2-1_115075_2023-02-25_final
2023-02-26 09:16:45	ga_ls8c_ard_3-2-1_090075_2023-02-25_final
2023-02-26 10:53:15	ga_ls8c_ard_3-2-1_106069_2023-02-26_final
2023-03-09 10:34:13	ga_ls8c_ard_3-2-1_103068_2023-03-09_final
2023-03-13 10:09:06	ga_ls8c_ard_3-2-1_099067_2023-03-13_final
2023-03-22 10:09:36	ga_ls8c_ard_3-2-1_098084_2023-03-22_final
2023-04-04 09:34:10	ga_ls8c_ard_3-2-1_093073_2023-04-04_final
2023-04-14 10:09:53	ga_ls8c_ard_3-2-1_099070_2023-04-14_final
2023-04-26 10:38:57	ga_ls8c_ard_3-2-1_103081_2023-04-26_final
2023-04-29 11:07:02	ga_ls8c_ard_3-2-1_108074_2023-04-29_final
2023-05-22 11:17:00	ga_ls8c_ard_3-2-1_109084_2023-05-22_final
2023-05-31 11:07:15	ga_ls8c_ard_3-2-1_108075_2023-05-31_final
2023-06-18 10:52:15	ga_ls8c_ard_3-2-1_106068_2023-06-18_final
2023-07-03 10:15:33	ga_ls8c_ard_3-2-1_099084_2023-07-03_final
2023-07-19 10:12:49	ga_ls8c_ard_3-2-1_099077_2023-07-19_final
2023-08-05 09:16:33	ga_ls8c_ard_3-2-1_090075_2023-08-04_final
2023-08-14 09:10:25	ga_ls8c_ard_3-2-1_089075_2023-08-13_final
2023-08-26 11:14:31	ga_ls8c_ard_3-2-1_109076_2023-08-26_final
2023-09-02 09:40:37	ga_ls8c_ard_3-2-1_094073_2023-09-02_final
2023-09-06 09:16:40	ga_ls8c_ard_3-2-1_090075_2023-09-05_final
2023-09-21 10:09:12	ga_ls8c_ard_3-2-1_099067_2023-09-21_final
2023-09-21 10:15:35	ga_ls8c_ard_3-2-1_099083_2023-09-21_final
2023-09-27 11:13:50	ga_ls8c_ard_3-2-1_109074_2023-09-27_final
2023-10-15 09:27:02	ga_ls8c_ard_3-2-1_091085_2023-10-14_final
2023-10-20 09:40:21	ga_ls8c_ard_3-2-1_094072_2023-10-20_final
2023-10-23 10:09:18	ga_ls8c_ard_3-2-1_099067_2023-10-23_final
2023-11-23 11:07:48	ga_ls8c_ard_3-2-1_108074_2023-11-23_final
2023-11-24 10:09:23	ga_ls8c_ard_3-2-1_099067_2023-11-24_final
2023-12-04 10:49:57	ga_ls8c_ard_3-2-1_105076_2023-12-04_final
2023-12-05 11:35:59	ga_ls8c_ard_3-2-1_112083_2023-12-05_final
2023-12-07 09:39:54	ga_ls8c_ard_3-2-1_094071_2023-12-07_final
2023-12-10 10:08:52	ga_ls8c_ard_3-2-1_099066_2023-12-10_final
2023-12-10 10:09:15	ga_ls8c_ard_3-2-1_099067_2023-12-10_final
2023-12-10 10:10:27	ga_ls8c_ard_3-2-1_099070_2023-12-10_final
2023-12-16 11:13:55	ga_ls8c_ard_3-2-1_109074_2023-12-16_final
2023-12-23 11:18:08	ga_ls8c_ard_3-2-1_110069_2023-12-23_final
2024-01-07 10:34:44	ga_ls8c_ard_3-2-1_103069_2024-01-07_final
2024-01-17 11:14:15	ga_ls8c_ard_3-2-1_109075_2024-01-17_final
2024-01-27 11:52:48	ga_ls8c_ard_3-2-1_115079_2024-01-27_final
2024-02-07 09:57:28	ga_ls8c_ard_3-2-1_096084_2024-02-07_final
2024-02-08 10:39:32	ga_ls8c_ard_3-2-1_103081_2024-02-08_final
2024-02-11 09:34:21	ga_ls8c_ard_3-2-1_092088_2024-02-11_final
2024-02-16 11:24:33	ga_ls8c_ard_3-2-1_111070_2024-02-16_final
2024-02-23 11:32:19	ga_ls8c_ard_3-2-1_112074_2024-02-23_final
2024-03-20 10:29:02	ga_ls8c_ard_3-2-1_102071_2024-03-20_final
2024-03-24 10:09:25	ga_ls8c_ard_3-2-1_098084_2024-03-24_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