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
2018-10-01 12:37:12	ga_ls8c_ard_3-2-1_123067_2018-10-01_final
2020-11-16 12:31:34	ga_ls8c_ard_3-2-1_122067_2020-11-16_final
2021-03-25 09:56:58	ga_ls8c_ard_3-2-0_097068_2021-03-25_final
2021-04-15 10:18:59	ga_ls8c_ard_3-2-0_100077_2021-04-15_final
2021-04-16 09:21:46	ga_ls8c_ard_3-2-0_091073_2021-04-15_final
2021-04-20 10:39:05	ga_ls8c_ard_3-2-0_103081_2021-04-20_final
2021-05-01 11:56:56	ga_ls8c_ard_3-2-0_116075_2021-05-01_final
2021-05-02 09:19:37	ga_ls8c_ard_3-2-0_091068_2021-05-01_final
2021-05-11 10:58:19	ga_ls8c_ard_3-2-0_106083_2021-05-11_final
2021-05-20 09:10:57	ga_ls8c_ard_3-2-0_089077_2021-05-19_final
2021-05-20 09:15:45	ga_ls8c_ard_3-2-0_089089_2021-05-19_final
2021-05-20 10:49:02	ga_ls8c_ard_3-2-0_105075_2021-05-20_final
2021-07-03 09:31:57	ga_ls8c_ard_3-2-0_093067_2021-07-03_final
2021-07-07 10:48:54	ga_ls8c_ard_3-2-0_105074_2021-07-07_final
2021-07-10 09:38:08	ga_ls8c_ard_3-2-0_094067_2021-07-10_final
2021-07-12 09:32:58	ga_ls8c_ard_3-2-0_092085_2021-07-12_final
2021-08-06 09:22:58	ga_ls8c_ard_3-2-0_091075_2021-08-05_final
2021-08-09 11:31:35	ga_ls8c_ard_3-2-0_112072_2021-08-09_final
2021-08-11 09:39:57	ga_ls8c_ard_3-2-0_094071_2021-08-11_final
2021-08-27 09:40:25	ga_ls8c_ard_3-2-0_094072_2021-08-27_final
2021-08-27 11:18:30	ga_ls8c_ard_3-2-0_110070_2021-08-27_final
2021-09-30 11:08:18	ga_ls8c_ard_3-2-0_108075_2021-09-30_final
2021-10-19 09:57:36	ga_ls8c_ard_3-2-0_097068_2021-10-19_final
2021-10-23 11:14:33	ga_ls8c_ard_3-2-0_109075_2021-10-23_final
2021-11-02 11:53:37	ga_ls8c_ard_3-2-0_115080_2021-11-02_final
2021-11-04 09:57:59	ga_ls8c_ard_3-2-0_097069_2021-11-04_final
2021-11-09 10:20:05	ga_ls8c_ard_3-2-0_100078_2021-11-09_final
2021-11-13 11:30:14	ga_ls8c_ard_3-2-0_112068_2021-11-13_final
2021-11-14 10:40:12	ga_ls8c_ard_3-2-0_103082_2021-11-14_final
2021-11-15 09:38:35	ga_ls8c_ard_3-2-0_094067_2021-11-15_final
2021-11-15 11:17:28	ga_ls8c_ard_3-2-0_110067_2021-11-15_final
2021-11-19 09:22:13	ga_ls8c_ard_3-2-0_090088_2021-11-18_final
2021-11-24 09:34:47	ga_ls8c_ard_3-2-0_093073_2021-11-24_final
2021-11-25 10:17:39	ga_ls8c_ard_3-2-0_100072_2021-11-25_final
2021-12-21 09:21:25	ga_ls8c_ard_3-2-1_090086_2021-12-20_final
2022-01-21 10:11:19	ga_ls8c_ard_3-2-1_099072_2022-01-21_final
2022-01-28 11:57:31	ga_ls8c_ard_3-2-1_116075_2022-01-28_final
2022-02-26 09:46:02	ga_ls8c_ard_3-2-1_095071_2022-02-26_final
2022-03-01 10:19:19	ga_ls8c_ard_3-2-1_100077_2022-03-01_final
2022-03-19 10:09:37	ga_ls8c_ard_3-2-1_098084_2022-03-19_final
2022-05-17 09:51:56	ga_ls8c_ard_3-2-1_095086_2022-05-17_final
2022-06-04 09:37:16	ga_ls8c_ard_3-2-1_093080_2022-06-04_final
2022-06-08 10:49:06	ga_ls8c_ard_3-2-1_105074_2022-06-08_final
2022-06-17 09:07:43	ga_ls8c_ard_3-2-1_088083_2022-06-16_final
2022-06-18 09:52:11	ga_ls8c_ard_3-2-1_095086_2022-06-18_final
2022-06-20 11:14:44	ga_ls8c_ard_3-2-1_109076_2022-06-20_final
2022-06-24 10:49:14	ga_ls8c_ard_3-2-1_105074_2022-06-24_final
2022-07-06 11:11:58	ga_ls8c_ard_3-2-1_109069_2022-07-06_final
2022-07-07 10:17:09	ga_ls8c_ard_3-2-1_100071_2022-07-07_final
2022-09-01 09:33:59	ga_ls8c_ard_3-2-1_092086_2022-09-01_final
2022-09-14 10:34:52	ga_ls8c_ard_3-2-1_103068_2022-09-14_final
2022-10-12 09:28:59	ga_ls8c_ard_3-2-1_091089_2022-10-11_final
2022-10-20 10:09:18	ga_ls8c_ard_3-2-1_099066_2022-10-20_final
2022-10-20 11:53:46	ga_ls8c_ard_3-2-1_115080_2022-10-20_final
2022-10-22 09:57:45	ga_ls8c_ard_3-2-1_097068_2022-10-22_final
2022-10-23 10:46:37	ga_ls8c_ard_3-2-1_104082_2022-10-23_final
2022-11-07 09:57:48	ga_ls8c_ard_3-2-1_097068_2022-11-07_final
2022-11-11 09:34:38	ga_ls8c_ard_3-2-1_093072_2022-11-11_final
2022-11-27 09:36:12	ga_ls8c_ard_3-2-1_093076_2022-11-27_final
2022-11-29 09:23:26	ga_ls8c_ard_3-2-1_091075_2022-11-28_final
2022-12-01 10:50:22	ga_ls8c_ard_3-2-1_105076_2022-12-01_final
2022-12-09 10:04:06	ga_ls8c_ard_3-2-1_097084_2022-12-09_final
2022-12-17 10:49:52	ga_ls8c_ard_3-2-1_105075_2022-12-17_final
2022-12-28 10:29:40	ga_ls8c_ard_3-2-1_102071_2022-12-28_final
2023-01-02 10:48:37	ga_ls8c_ard_3-2-1_105072_2023-01-02_final
2023-01-29 10:28:27	ga_ls8c_ard_3-2-1_102068_2023-01-29_final
2023-02-15 09:34:43	ga_ls8c_ard_3-2-1_093073_2023-02-15_final
2023-02-16 10:19:33	ga_ls8c_ard_3-2-1_100077_2023-02-16_final
2023-03-13 10:13:06	ga_ls8c_ard_3-2-1_099077_2023-03-13_final
2023-03-26 11:20:08	ga_ls8c_ard_3-2-1_110075_2023-03-26_final
2023-04-14 10:08:41	ga_ls8c_ard_3-2-1_099067_2023-04-14_final
2023-04-24 10:49:19	ga_ls8c_ard_3-2-1_105076_2023-04-24_final
2023-05-01 10:55:27	ga_ls8c_ard_3-2-1_106076_2023-05-01_final
2023-05-08 09:21:51	ga_ls8c_ard_3-2-1_091074_2023-05-07_final
2023-05-09 10:09:05	ga_ls8c_ard_3-2-1_098084_2023-05-09_final
2023-05-16 10:09:59	ga_ls8c_ard_3-2-1_099071_2023-05-16_final
2023-05-22 11:13:01	ga_ls8c_ard_3-2-1_109074_2023-05-22_final
2023-06-09 09:21:29	ga_ls8c_ard_3-2-1_091073_2023-06-08_final
2023-07-01 10:26:41	ga_ls8c_ard_3-2-1_101081_2023-07-01_final
2023-07-20 09:16:24	ga_ls8c_ard_3-2-1_090075_2023-07-19_final
2023-08-05 10:58:14	ga_ls8c_ard_3-2-1_106082_2023-08-05_final
2023-08-18 10:27:26	ga_ls8c_ard_3-2-1_101082_2023-08-18_final
2023-08-21 10:55:57	ga_ls8c_ard_3-2-1_106076_2023-08-21_final
2023-09-02 09:40:13	ga_ls8c_ard_3-2-1_094072_2023-09-02_final
2023-09-14 10:09:47	ga_ls8c_ard_3-2-1_098084_2023-09-14_final
2023-09-17 10:39:30	ga_ls8c_ard_3-2-1_103081_2023-09-17_final
2023-10-04 09:45:56	ga_ls8c_ard_3-2-1_094086_2023-10-04_final
2023-11-05 11:18:30	ga_ls8c_ard_3-2-1_110070_2023-11-05_final
2023-11-30 11:13:56	ga_ls8c_ard_3-2-1_109074_2023-11-30_final
2023-11-30 11:14:20	ga_ls8c_ard_3-2-1_109075_2023-11-30_final
2023-12-04 10:52:20	ga_ls8c_ard_3-2-1_105082_2023-12-04_final
2023-12-26 10:09:20	ga_ls8c_ard_3-2-1_099067_2023-12-26_final
2023-12-27 09:18:05	ga_ls8c_ard_3-2-1_090078_2023-12-26_final
2024-01-01 11:14:15	ga_ls8c_ard_3-2-1_109075_2024-01-01_final
2024-01-09 10:27:35	ga_ls8c_ard_3-2-1_101082_2024-01-09_final
2024-01-11 11:53:19	ga_ls8c_ard_3-2-1_115080_2024-01-11_final
2024-01-12 10:53:19	ga_ls8c_ard_3-2-1_106069_2024-01-12_final
2024-01-17 09:40:09	ga_ls8c_ard_3-2-1_093087_2024-01-17_final
2024-02-02 11:14:12	ga_ls8c_ard_3-2-1_109075_2024-02-02_final
2024-02-12 10:11:13	ga_ls8c_ard_3-2-1_099072_2024-02-12_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