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
2020-02-17 10:08:45	ga_ls8c_ard_3-2-1_099066_2020-02-17_final
2021-05-07 11:19:47	ga_ls8c_ard_3-2-0_110075_2021-05-07_final
2021-05-27 09:22:23	ga_ls8c_ard_3-2-0_090090_2021-05-26_final
2021-06-01 11:13:28	ga_ls8c_ard_3-2-0_109074_2021-06-01_final
2021-06-12 09:22:30	ga_ls8c_ard_3-2-0_090090_2021-06-11_final
2021-06-17 09:33:29	ga_ls8c_ard_3-2-0_093071_2021-06-17_final
2021-06-21 10:48:52	ga_ls8c_ard_3-2-0_105074_2021-06-21_final
2021-07-05 09:27:34	ga_ls8c_ard_3-2-0_091087_2021-07-04_final
2021-07-19 11:14:28	ga_ls8c_ard_3-2-0_109076_2021-07-19_final
2021-08-02 11:25:45	ga_ls8c_ard_3-2-0_111073_2021-08-02_final
2021-08-09 11:32:23	ga_ls8c_ard_3-2-0_112074_2021-08-09_final
2021-08-15 10:53:20	ga_ls8c_ard_3-2-0_106069_2021-08-15_final
2021-09-27 10:36:10	ga_ls8c_ard_3-2-0_103072_2021-09-27_final
2021-10-05 11:26:04	ga_ls8c_ard_3-2-0_111073_2021-10-05_final
2021-10-23 11:14:33	ga_ls8c_ard_3-2-0_109075_2021-10-23_final
2021-11-18 10:13:27	ga_ls8c_ard_3-2-0_099077_2021-11-18_final
2021-12-18 10:23:25	ga_ls8c_ard_3-2-1_101071_2021-12-18_final
2022-01-06 09:21:20	ga_ls8c_ard_3-2-1_090086_2022-01-05_final
2022-01-07 09:57:49	ga_ls8c_ard_3-2-1_097069_2022-01-07_final
2022-01-09 11:25:56	ga_ls8c_ard_3-2-1_111073_2022-01-09_final
2022-01-27 11:14:16	ga_ls8c_ard_3-2-1_109075_2022-01-27_final
2022-01-29 11:00:18	ga_ls8c_ard_3-2-1_107071_2022-01-29_final
2022-02-07 09:22:01	ga_ls8c_ard_3-2-1_090088_2022-02-06_final
2022-02-18 10:34:18	ga_ls8c_ard_3-2-1_103068_2022-02-18_final
2022-03-17 10:17:13	ga_ls8c_ard_3-2-1_100072_2022-03-17_final
2022-04-21 10:46:26	ga_ls8c_ard_3-2-1_105068_2022-04-21_final
2022-04-21 10:48:49	ga_ls8c_ard_3-2-1_105074_2022-04-21_final
2022-05-14 10:55:54	ga_ls8c_ard_3-2-1_106076_2022-05-14_final
2022-05-17 11:25:13	ga_ls8c_ard_3-2-1_111072_2022-05-17_final
2022-05-30 09:22:39	ga_ls8c_ard_3-2-1_090090_2022-05-29_final
2022-06-08 10:49:06	ga_ls8c_ard_3-2-1_105074_2022-06-08_final
2022-06-11 11:20:26	ga_ls8c_ard_3-2-1_110075_2022-06-11_final
2022-06-30 10:10:34	ga_ls8c_ard_3-2-1_099070_2022-06-30_final
2022-07-10 10:46:51	ga_ls8c_ard_3-2-1_105068_2022-07-10_final
2022-07-22 11:14:02	ga_ls8c_ard_3-2-1_109074_2022-07-22_final
2022-07-26 09:12:28	ga_ls8c_ard_3-2-1_089079_2022-07-25_final
2022-08-09 09:28:57	ga_ls8c_ard_3-2-1_091089_2022-08-08_final
2022-08-09 09:29:21	ga_ls8c_ard_3-2-1_091090_2022-08-08_final
2022-08-14 11:20:49	ga_ls8c_ard_3-2-1_110075_2022-08-14_final
2022-08-18 09:17:38	ga_ls8c_ard_3-2-1_090076_2022-08-17_final
2022-09-03 10:56:30	ga_ls8c_ard_3-2-1_106076_2022-09-03_final
2022-09-18 10:10:10	ga_ls8c_ard_3-2-1_099068_2022-09-18_final
2022-09-19 09:23:20	ga_ls8c_ard_3-2-1_090090_2022-09-18_final
2022-10-08 11:25:04	ga_ls8c_ard_3-2-1_111070_2022-10-08_final
2022-10-23 10:46:37	ga_ls8c_ard_3-2-1_104082_2022-10-23_final
2022-11-11 11:14:19	ga_ls8c_ard_3-2-1_109074_2022-11-11_final
2022-11-16 11:32:00	ga_ls8c_ard_3-2-1_112072_2022-11-16_final
2022-11-22 09:21:14	ga_ls8c_ard_3-2-1_090085_2022-11-21_final
2022-11-30 10:05:30	ga_ls8c_ard_3-2-1_098072_2022-11-30_final
2022-12-11 09:52:55	ga_ls8c_ard_3-2-1_095087_2022-12-11_final
2022-12-13 11:14:38	ga_ls8c_ard_3-2-1_109075_2022-12-13_final
2022-12-15 09:22:34	ga_ls8c_ard_3-2-1_091073_2022-12-14_final
2023-01-17 10:03:38	ga_ls8c_ard_3-2-1_098068_2023-01-17_final
2023-01-23 09:28:12	ga_ls8c_ard_3-2-1_092072_2023-01-22_final
2023-01-23 11:07:06	ga_ls8c_ard_3-2-1_108072_2023-01-23_final
2023-01-24 10:13:52	ga_ls8c_ard_3-2-1_099078_2023-01-24_final
2023-02-09 10:16:15	ga_ls8c_ard_3-2-1_099084_2023-02-09_final
2023-03-05 09:22:54	ga_ls8c_ard_3-2-1_091075_2023-03-04_final
2023-03-11 10:23:04	ga_ls8c_ard_3-2-1_101071_2023-03-11_final
2023-03-23 09:11:10	ga_ls8c_ard_3-2-1_089077_2023-03-22_final
2023-03-23 10:49:39	ga_ls8c_ard_3-2-1_105076_2023-03-23_final
2023-04-04 11:16:14	ga_ls8c_ard_3-2-1_109081_2023-04-04_final
2023-04-14 10:15:28	ga_ls8c_ard_3-2-1_099084_2023-04-14_final
2023-04-15 09:16:39	ga_ls8c_ard_3-2-1_090076_2023-04-14_final
2023-04-24 09:12:26	ga_ls8c_ard_3-2-1_089081_2023-04-23_final
2023-04-24 10:49:19	ga_ls8c_ard_3-2-1_105076_2023-04-24_final
2023-05-07 10:17:30	ga_ls8c_ard_3-2-1_100074_2023-05-07_final
2023-05-07 11:57:35	ga_ls8c_ard_3-2-1_116077_2023-05-07_final
2023-05-08 10:59:09	ga_ls8c_ard_3-2-1_107070_2023-05-08_final
2023-05-24 09:28:10	ga_ls8c_ard_3-2-1_091090_2023-05-23_final
2023-05-29 11:19:37	ga_ls8c_ard_3-2-1_110075_2023-05-29_final
2023-06-02 10:52:06	ga_ls8c_ard_3-2-1_106068_2023-06-02_final
2023-06-23 11:14:00	ga_ls8c_ard_3-2-1_109076_2023-06-23_final
2023-07-02 11:05:34	ga_ls8c_ard_3-2-1_108070_2023-07-02_final
2023-07-03 10:15:09	ga_ls8c_ard_3-2-1_099083_2023-07-03_final
2023-07-20 10:55:17	ga_ls8c_ard_3-2-1_106075_2023-07-20_final
2023-08-03 09:34:06	ga_ls8c_ard_3-2-1_092088_2023-08-03_final
2023-08-08 11:24:21	ga_ls8c_ard_3-2-1_111070_2023-08-08_final
2023-08-10 11:14:23	ga_ls8c_ard_3-2-1_109076_2023-08-10_final
2023-08-15 11:32:11	ga_ls8c_ard_3-2-1_112074_2023-08-15_final
2023-08-20 10:10:42	ga_ls8c_ard_3-2-1_099071_2023-08-20_final
2023-08-21 09:17:04	ga_ls8c_ard_3-2-1_090076_2023-08-20_final
2023-09-01 10:35:50	ga_ls8c_ard_3-2-1_103072_2023-09-01_final
2023-09-06 09:17:28	ga_ls8c_ard_3-2-1_090077_2023-09-05_final
2023-09-18 11:17:59	ga_ls8c_ard_3-2-1_110069_2023-09-18_final
2023-09-27 11:13:50	ga_ls8c_ard_3-2-1_109074_2023-09-27_final
2023-09-30 11:47:33	ga_ls8c_ard_3-2-1_114081_2023-09-30_final
2023-10-11 11:24:39	ga_ls8c_ard_3-2-1_111070_2023-10-11_final
2023-10-20 09:40:21	ga_ls8c_ard_3-2-1_094072_2023-10-20_final
2023-11-08 10:13:40	ga_ls8c_ard_3-2-1_099078_2023-11-08_final
2023-11-15 10:19:05	ga_ls8c_ard_3-2-1_100076_2023-11-15_final
2023-11-25 09:21:20	ga_ls8c_ard_3-2-1_090086_2023-11-24_final
2023-12-10 10:14:03	ga_ls8c_ard_3-2-1_099079_2023-12-10_final
2024-01-06 11:31:33	ga_ls8c_ard_3-2-1_112072_2024-01-06_final
2024-01-09 10:23:12	ga_ls8c_ard_3-2-1_101071_2024-01-09_final
2024-01-12 09:16:49	ga_ls8c_ard_3-2-1_090075_2024-01-11_final
2024-01-14 10:42:57	ga_ls8c_ard_3-2-1_104074_2024-01-14_final
2024-02-02 11:12:12	ga_ls8c_ard_3-2-1_109070_2024-02-02_final
2024-02-16 11:24:33	ga_ls8c_ard_3-2-1_111070_2024-02-16_final
2024-02-22 09:11:46	ga_ls8c_ard_3-2-1_089078_2024-02-21_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